Launching the SEOmoz Free API and Enough Power to Build Open Site Explorer

Posted by Nick Gerner

The launch of Open Site Explorer last week opens up a lot of link data, filters, and anchor text to a much wider audience than we’ve ever had before.  In that same vein, today we’re announcing our new and improved SEOmoz Free API.

Any registered (it’s free) SEOmoz member can visit our API Portal and get an API key that gives you access to:

  • Data for any URL in our index including
    • Domain and Page Authority
    • mozRank
    • total link count
    • external, followed link count
  • The first 500 links to any page, sub domain or domain
  • Filtering on those links: 301s, Follows, External, etc.
  • The first 3 domains linking to any page, sub domain or domain
  • The first 3 anchor text terms or phrases in links to any page, sub domain or domain

You’re welcome to use this data for private or publicly-facing purposes. We already have a variety of partners integrating this data including:

Check out some sample code and applications on the wiki.

Our idea is that getting this data into the hands of webmasters makes everyone better off: we’re excited about our new authority scores, marketers are thirsty for metrics, and users of all kinds of tools are better off with a deeper look at real data.  The free package will keep you covered up to a million links per month that you’re free to use for any purpose from consulting to building an SEO campaign management suite.

API Cartoon

In addition to the free API (which I think is quite powerful already), we’re expanding our paid API offering. The paid API includes everything above, but also includes:

  • Additional metrics:
    • number of domains that link to you
    • mozTrust
    • number of links to all pages on your domain
    • and more
  • A deeper look at links, way beyond the first 500 (first 100k for each sort per page, domain or sub domain)
  • Plenty of sorts on links:
    • domain authority
    • page authority
    • linking root domains
  • Way more anchor text terms and phrases (up to 100k per page, domain or sub domain if you’ve got that many)

This is exactly the same API powering Open Site Explorer.  So if you think OSE missed a feature, or should include other data sources, you can build it over again and do an even better job :)   If you do, drop me a line and I’ll take a look. We’d love to share partner apps on our wiki, Twitter, the blog, and elsewhere.

We don’t even have an attribution requirement. Although, we have a tasty 15% discount if you do cite us as a source ;)

To sign up, just contact us, and we’ll start the process.

EDIT: The paid API is available outside of a PRO membership.  A PRO membership buys the tools, and content, and sweet sweet badge.  The paid API is extra.  Of course, the free API is both free and full of awesome.

Do you like this post? Yes No

Posted by Nick Gerner

The launch of Open Site Explorer last week opens up a lot of link data, filters, and anchor text to a much wider audience than we’ve ever had before.  In that same vein, today we’re announcing our new and improved SEOmoz Free API.

Any registered (it’s free) SEOmoz member can visit our API Portal and get an API key that gives you access to:

  • Data for any URL in our index including
    • Domain and Page Authority
    • mozRank
    • total link count
    • external, followed link count
  • The first 500 links to any page, sub domain or domain
  • Filtering on those links: 301s, Follows, External, etc.
  • The first 3 domains linking to any page, sub domain or domain
  • The first 3 anchor text terms or phrases in links to any page, sub domain or domain

You’re welcome to use this data for private or publicly-facing purposes. We already have a variety of partners integrating this data including:

Check out some sample code and applications on the wiki.

Our idea is that getting this data into the hands of webmasters makes everyone better off: we’re excited about our new authority scores, marketers are thirsty for metrics, and users of all kinds of tools are better off with a deeper look at real data.  The free package will keep you covered up to a million links per month that you’re free to use for any purpose from consulting to building an SEO campaign management suite.

API Cartoon

In addition to the free API (which I think is quite powerful already), we’re expanding our paid API offering. The paid API includes everything above, but also includes:

  • Additional metrics:
    • number of domains that link to you
    • mozTrust
    • number of links to all pages on your domain
    • and more
  • A deeper look at links, way beyond the first 500 (first 100k for each sort per page, domain or sub domain)
  • Plenty of sorts on links:
    • domain authority
    • page authority
    • linking root domains
  • Way more anchor text terms and phrases (up to 100k per page, domain or sub domain if you’ve got that many)

This is exactly the same API powering Open Site Explorer.  So if you think OSE missed a feature, or should include other data sources, you can build it over again and do an even better job :)   If you do, drop me a line and I’ll take a look. We’d love to share partner apps on our wiki, Twitter, the blog, and elsewhere.

We don’t even have an attribution requirement. Although, we have a tasty 15% discount if you do cite us as a source ;)

To sign up, just contact us, and we’ll start the process.

EDIT: The paid API is available outside of a PRO membership.  A PRO membership buys the tools, and content, and sweet sweet badge.  The paid API is extra.  Of course, the free API is both free and full of awesome.

Do you like this post? Yes No

Indexation for SEO: Real Numbers in 5 Easy Steps

Posted by randfish

How many pages has Google indexed?

This question and the problems surrounding it run rampant through the SEO world. It usually arises when someone starts doing searches like this:

Indexation of SEOmoz According to Google

Google claims to have 93,800 pages indexed on the root domain, seomoz.org. That sounds pretty good, but when I ran that search query last week, the number was closer to 75,000 and when I run it again from Google.co.uk 60 seconds later, the number changes even more dramatically:

Indexation of SEOmoz.org on Google.co.uk

How about if I hit refresh on my Google.com results again:

Indexation on Google.com 3 minutes later

Doh! Google just dropped 8,500 of my pages out of their index. That sucks – but not nearly as much as managers, marketing directors and CEOs who use these numbers as actual KPIs! Can you imagine? A number that means nothing, fluctuates 300% between data centers, can change at a moment’s notice and provides no actionable insight being used as a business metric?

And yet… It happens.

Fortunately, there’s an easy way to get much, much better data than what the search engines provide through "site:" queries and this post is here to walk you through that process step-by-step.

Step 1: Go to Traffic Sources in Your Analytics

Google Analytics Step 1

Click the "traffic sources" link in Google analytics or Omniture (it can also be called "referring sources" in other analytics packages).

Step 2: Head to the Search Engines Section

Step 2 of the Indexation Process

We want to find out how many pages the search engines have indexed, so the obvious next step is to go to the "search engines" sub-section.

Step 3: Choose an Engine

Step 3: Choose an Engine 

Choose the engine you want indexation data on and click. If you have both paid and organic traffic from this engine, you’ll want to display organic only at this step, too.

Step 4: Filter by Landing Pages

Step 4: Filter by Landing Page

The "Landing Page" filter in the dropdown will show you the traffic each individual page on your site received from the engine you’ve selected. This also produces the magical "total" number of pages that have received traffic, described in the last step.

Step 5: Record the Number at the Bottom

Step 5: Indexation Count Arrives

That count tells you the unique number of pages that received at least one visit from searches performed on Google. It’s the Holy Grail of indexation – a number you can accurately track over time to see how the search engine is indexing your site. On its own, it isn’t particularly useful, but over time (I usually recommend recording monthly, but for some sites, every 2-3 months can make more sense), it gives you insight into whether your pages are doing better or worse at drawing in traffic from the engine.

Now, technically I’m being a bit cheeky here. This number doesn’t tell you the full story – it’s not showing the actual number of pages a search engine has crawled or indexed on your site, but it does tell you the unique number of URLs that received at least 1 visit from the engine. In my opinion this data is far more accurate and more actionable. The first adjective – accurate – is hard to argue (particularly given the visual evidence atop this post), but the second requires a bit of an explanation.

Why is Number of Pages Receiving ≥1 Visit Actionable?

Indexation numbers alone are useless. Businesses and websites use them as KPIs because they want to know if, over time, more of their pages are making their way into the engines’ indices. I’d argue that actually, you don’t care if your pages are in the indices – you care if your pages have the opportunity to EARN TRAFFIC!

Being a row in a search index means nothing if your page is:

  • too low in PageRank/link juice to appear in any results
  • displaying content the engines can’t properly parse
  • devoid of keywords or content that could send traffic
  • broken, misdirected or unavailable
  • a duplicate of other pages that the engine will rank instead

Thus, the metric you want to count over time isn’t (in most cases) number of pages indexed, it’s number of pages that earned traffic. Over time, that’s the number you want to rise, the number you want marketers to concentrate on and the KPI that’s meaningful. It tells you whether the engine is crawling, indexing AND listing your pages in the results where someone might (has) actually click(ed) them.

If the number drops, you can investigate the actual pages that are no longer receiving traffic by exporting the data to Excel and doing a side-by-side with the previous month. If the number rises, you can see the new pages getting traffic. Those individual URLs will tell a story – of pages that broke, that stopped being linked-to, that fell too far down in paginated results or lost their unique content. It’s so much better than playing the mystery game that SEOs so often confront in the face of "lower indexation numbers" from the site: command.

Some Necessary Caveats

This methodology certainly isn’t perfect, and there are some important points to be aware of (thanks especially to some folks in the comments who brought these up):

  • Google Analytics (and many other analytics packages) use sampled data at times to make guesstimates. If you want to be sure you’re getting the absolute best number, export to CSV and do the side-by-side in Excel. You can even expunge similar results from two time period to see only those pages that uniquely did/didn’t receive traffic. In many of these cases, you might also only care about pages that gained/lost 5/10/20+ visits.
  • Greater accuracy can be found from shrinking the time period in the analytics, but it also reduces the liklihood that a page receiving very long tail query traffic once in a blue moon will be properly listed, so adjust accordingly, and plan for imperfect data. This method isn’t foolproof, but it is (in my opinion), better than the random roulette wheel of site: queries.
  • This technique isn’t going to help you catch other kinds of SEO issues like duplicate content (it can in some cases, but it’s not as good as something like GG WM Tools reporting) or 301s, 302s, etc. which can require a crawling solution.

I’d, of course, love your feedback. I know many SEOs are addicted to and supportive of the site: command numbers as a way to measure progress, so maybe there’s things I’m not considering or situations where it makes sense. I also know that many of you like the number reported in Google Webmaster tools under the Sitemaps crawl data (I’m skeptical of this too, for the record) and I’d like to hear how you find value with that data as well.

p.s. Tomorrow we’ll be announcing two webinars (open to all) about using Open Site Explorer to get ACTIONABLE data. Be sure to leave either Wednesday the 27th at 2pm Pacific or Thursday the 28th at 10am Pacific free :-)

Do you like this post? Yes No

Posted by randfish

How many pages has Google indexed?

This question and the problems surrounding it run rampant through the SEO world. It usually arises when someone starts doing searches like this:

Indexation of SEOmoz According to Google

Google claims to have 93,800 pages indexed on the root domain, seomoz.org. That sounds pretty good, but when I ran that search query last week, the number was closer to 75,000 and when I run it again from Google.co.uk 60 seconds later, the number changes even more dramatically:

Indexation of SEOmoz.org on Google.co.uk

How about if I hit refresh on my Google.com results again:

Indexation on Google.com 3 minutes later

Doh! Google just dropped 8,500 of my pages out of their index. That sucks – but not nearly as much as managers, marketing directors and CEOs who use these numbers as actual KPIs! Can you imagine? A number that means nothing, fluctuates 300% between data centers, can change at a moment’s notice and provides no actionable insight being used as a business metric?

And yet… It happens.

Fortunately, there’s an easy way to get much, much better data than what the search engines provide through "site:" queries and this post is here to walk you through that process step-by-step.

Step 1: Go to Traffic Sources in Your Analytics

Google Analytics Step 1

Click the "traffic sources" link in Google analytics or Omniture (it can also be called "referring sources" in other analytics packages).

Step 2: Head to the Search Engines Section

Step 2 of the Indexation Process

We want to find out how many pages the search engines have indexed, so the obvious next step is to go to the "search engines" sub-section.

Step 3: Choose an Engine

Step 3: Choose an Engine 

Choose the engine you want indexation data on and click. If you have both paid and organic traffic from this engine, you’ll want to display organic only at this step, too.

Step 4: Filter by Landing Pages

Step 4: Filter by Landing Page

The "Landing Page" filter in the dropdown will show you the traffic each individual page on your site received from the engine you’ve selected. This also produces the magical "total" number of pages that have received traffic, described in the last step.

Step 5: Record the Number at the Bottom

Step 5: Indexation Count Arrives

That count tells you the unique number of pages that received at least one visit from searches performed on Google. It’s the Holy Grail of indexation – a number you can accurately track over time to see how the search engine is indexing your site. On its own, it isn’t particularly useful, but over time (I usually recommend recording monthly, but for some sites, every 2-3 months can make more sense), it gives you insight into whether your pages are doing better or worse at drawing in traffic from the engine.

Now, technically I’m being a bit cheeky here. This number doesn’t tell you the full story – it’s not showing the actual number of pages a search engine has crawled or indexed on your site, but it does tell you the unique number of URLs that received at least 1 visit from the engine. In my opinion this data is far more accurate and more actionable. The first adjective – accurate – is hard to argue (particularly given the visual evidence atop this post), but the second requires a bit of an explanation.

Why is Number of Pages Receiving ≥1 Visit Actionable?

Indexation numbers alone are useless. Businesses and websites use them as KPIs because they want to know if, over time, more of their pages are making their way into the engines’ indices. I’d argue that actually, you don’t care if your pages are in the indices – you care if your pages have the opportunity to EARN TRAFFIC!

Being a row in a search index means nothing if your page is:

  • too low in PageRank/link juice to appear in any results
  • displaying content the engines can’t properly parse
  • devoid of keywords or content that could send traffic
  • broken, misdirected or unavailable
  • a duplicate of other pages that the engine will rank instead

Thus, the metric you want to count over time isn’t (in most cases) number of pages indexed, it’s number of pages that earned traffic. Over time, that’s the number you want to rise, the number you want marketers to concentrate on and the KPI that’s meaningful. It tells you whether the engine is crawling, indexing AND listing your pages in the results where someone might (has) actually click(ed) them.

If the number drops, you can investigate the actual pages that are no longer receiving traffic by exporting the data to Excel and doing a side-by-side with the previous month. If the number rises, you can see the new pages getting traffic. Those individual URLs will tell a story – of pages that broke, that stopped being linked-to, that fell too far down in paginated results or lost their unique content. It’s so much better than playing the mystery game that SEOs so often confront in the face of "lower indexation numbers" from the site: command.

Some Necessary Caveats

This methodology certainly isn’t perfect, and there are some important points to be aware of (thanks especially to some folks in the comments who brought these up):

  • Google Analytics (and many other analytics packages) use sampled data at times to make guesstimates. If you want to be sure you’re getting the absolute best number, export to CSV and do the side-by-side in Excel. You can even expunge similar results from two time period to see only those pages that uniquely did/didn’t receive traffic. In many of these cases, you might also only care about pages that gained/lost 5/10/20+ visits.
  • Greater accuracy can be found from shrinking the time period in the analytics, but it also reduces the liklihood that a page receiving very long tail query traffic once in a blue moon will be properly listed, so adjust accordingly, and plan for imperfect data. This method isn’t foolproof, but it is (in my opinion), better than the random roulette wheel of site: queries.
  • This technique isn’t going to help you catch other kinds of SEO issues like duplicate content (it can in some cases, but it’s not as good as something like GG WM Tools reporting) or 301s, 302s, etc. which can require a crawling solution.

I’d, of course, love your feedback. I know many SEOs are addicted to and supportive of the site: command numbers as a way to measure progress, so maybe there’s things I’m not considering or situations where it makes sense. I also know that many of you like the number reported in Google Webmaster tools under the Sitemaps crawl data (I’m skeptical of this too, for the record) and I’d like to hear how you find value with that data as well.

p.s. Tomorrow we’ll be announcing two webinars (open to all) about using Open Site Explorer to get ACTIONABLE data. Be sure to leave either Wednesday the 27th at 2pm Pacific or Thursday the 28th at 10am Pacific free :-)

Do you like this post? Yes No

Whiteboard Friday – Domain Authority & Page Authority Metrics

Posted by great scott!

This week we’ve got a special Whiteboard Friday double feature! As you’ve probably heard, we launched our new link checker and backlink analysis tool, Open Site Explorer, this week and it makes use of some exciting new metrics: Domain Authority and Page Authority. We asked our old chum, Will Critchlow, to talk to Rand about these metrics to help everyone understand what they are, what goes into them, how to use them, and why we created them.

Domain and Page Authority Metrics Comparisons

In Part One, Will and Rand discuss how to use these metrics to gain insight and intelligence on your (and your competitors’) pages, domains, and link profiles, as well as why these metrics can be a better predictor of ranking success than others that you may have used in the past.

In Part Two, the guys dive into detail about what exactly goes into Domain Authority & Page Authority: how they were modeled, how they compare to actual search results, why your DA & PA scores may change over time, and lots of other details to help you better understand how these metrics work.

Both videos are viewable below, simply select the one you’d like to watch from the playlist on the right of the player. I’d recommend watching them in order, but it’s not necessary.

These new metrics have already been quite popular among users of Open Site Explorer, and one of the big questions is, "When can I get them in the SEOmoz Firefox Toolbar?!"  Well, surprise, surprise, we’re on top of it! They’ll be available in the new toolbar update coming out next month…here’s a sneak peek :)

 

mozBar February 2010 preview
New scores, new features and much more are on their way in the February version of the mozbar

If you’ve got questions about Domain or Page Authority, please leave us feedback below. We’re trying to make these metrics as useful and valuable as possible and would love your suggestions.

Do you like this post? Yes No

Posted by great scott!

This week we’ve got a special Whiteboard Friday double feature! As you’ve probably heard, we launched our new link checker and backlink analysis tool, Open Site Explorer, this week and it makes use of some exciting new metrics: Domain Authority and Page Authority. We asked our old chum, Will Critchlow, to talk to Rand about these metrics to help everyone understand what they are, what goes into them, how to use them, and why we created them.

Domain and Page Authority Metrics Comparisons

In Part One, Will and Rand discuss how to use these metrics to gain insight and intelligence on your (and your competitors’) pages, domains, and link profiles, as well as why these metrics can be a better predictor of ranking success than others that you may have used in the past.

In Part Two, the guys dive into detail about what exactly goes into Domain Authority & Page Authority: how they were modeled, how they compare to actual search results, why your DA & PA scores may change over time, and lots of other details to help you better understand how these metrics work.

Both videos are viewable below, simply select the one you’d like to watch from the playlist on the right of the player. I’d recommend watching them in order, but it’s not necessary.

These new metrics have already been quite popular among users of Open Site Explorer, and one of the big questions is, "When can I get them in the SEOmoz Firefox Toolbar?!"  Well, surprise, surprise, we’re on top of it! They’ll be available in the new toolbar update coming out next month…here’s a sneak peek :)

 

mozBar February 2010 preview
New scores, new features and much more are on their way in the February version of the mozbar

If you’ve got questions about Domain or Page Authority, please leave us feedback below. We’re trying to make these metrics as useful and valuable as possible and would love your suggestions.

Do you like this post? Yes No

Find Invisible Pages Using Google Analytics

Posted by wrttnwrd

This post was originally in YOUmoz, and was promoted to the main blog because it provides great value and interest to our community. The author’s views are entirely his or her own and may not reflect the views of SEOmoz, Inc.

One often-ignored part of SEO is making invisible pages visible. When I say ‘invisible’, I mean pages that have received zero clicks from organic search results.

If you can find those pages, you can decide:

  • To keep them, but work to raise their organic search profile;
  • To keep them, but use more of their link juice to help other, higher-profile pages on your site; 
  • Get rid of them, and 301 redirect them to higher-profile, higher-value pages on your site.

Soooooo, how do you find ‘em?

Turns out, a new Google Analytics feature can make it happen: Pivot table reports

Here’s how you do it:

  1. In Google Analytics, click ‘Content’.
  2. Click the ‘Top Content’ report:The top content reportYou’ll see a list of the most-viewed pages on your site. Not much help just yet.
  3. Now for the good stuff. At the top-right corner of the ‘Content Performance’ tab, click the ‘Pivot’ button:
    the pivot report button

  4. Change ‘Pivot by’ to medium. Leave ‘Showing’ set as ‘Pageviews’. You’ll get a new table showing pages as the rows, and the mediums (media? mediumses?) as the columns, like this:
    A pivot report

  5. Now, sort the ‘organic’ column ascending (lowest values first). You’ll see a nice, clear list of pages that haven’t received any clicks from organic search:
    the report, sorted by organic clicks, ascending

That’s it! You can take a look and find the pages getting zero organic clicks.

A few cautions:

  1. This report will not show pages with zero pageviews overall. If a page never received any pageviews, then the Google Analytics tracking bug never fired, and the page isn’t in Google’s reports.
  2. This data is a lot more helpful for pages that otherwise get lots of traffic. If a page gets 1 view overall and zero organic views, that may mean it’s got SEO issues. Or, it may mean that the page just sucks overall. Use your judgment.
  3. This is only 1/2 the battle. Don’t assume the invisible pages need optimization, and that all will be well. It’s possible that these pages simply shouldn’t be there, or that there’s a problem with how you’re linking to them, or something else. Use this report as a starting point. Not an end point.

Happy Analyzing!

Do you like this post? Yes No

Posted by wrttnwrd

One often-ignored part of SEO is making invisible pages visible. When I say ‘invisible’, I mean pages that have received zero clicks from organic search results.

If you can find those pages, you can decide:

  • To keep them, but work to raise their organic search profile;
  • To keep them, but use more of their link juice to help other, higher-profile pages on your site; 
  • Get rid of them, and 301 redirect them to higher-profile, higher-value pages on your site.

Soooooo, how do you find ‘em?

Turns out, a new Google Analytics feature can make it happen: Pivot table reports

Here’s how you do it:

  1. In Google Analytics, click ‘Content’.
  2. Click the ‘Top Content’ report:The top content reportYou’ll see a list of the most-viewed pages on your site. Not much help just yet.
  3. Now for the good stuff. At the top-right corner of the ‘Content Performance’ tab, click the ‘Pivot’ button:
    the pivot report button

  4. Change ‘Pivot by’ to medium. Leave ‘Showing’ set as ‘Pageviews’. You’ll get a new table showing pages as the rows, and the mediums (media? mediumses?) as the columns, like this:
    A pivot report

  5. Now, sort the ‘organic’ column ascending (lowest values first). You’ll see a nice, clear list of pages that haven’t received any clicks from organic search:
    the report, sorted by organic clicks, ascending

That’s it! You can take a look and find the pages getting zero organic clicks.

A few cautions:

  1. This report will not show pages with zero pageviews overall. If a page never received any pageviews, then the Google Analytics tracking bug never fired, and the page isn’t in Google’s reports.
  2. This data is a lot more helpful for pages that otherwise get lots of traffic. If a page gets 1 view overall and zero organic views, that may mean it’s got SEO issues. Or, it may mean that the page just sucks overall. Use your judgment.
  3. This is only 1/2 the battle. Don’t assume the invisible pages need optimization, and that all will be well. It’s possible that these pages simply shouldn’t be there, or that there’s a problem with how you’re linking to them, or something else. Use this report as a starting point. Not an end point.

Happy Analyzing!

Do you like this post? Yes No

11 Conversion Rate Optimization Lessons Learned in 2009 (and annual moz traffic stats)

Posted by Sam Niccolls

"Don’t do viral marketing until your product doesn’t suck. If you do, more people will find out your product sucks." This pearl of wisdom from serial entrepreneur Dave McClure applies well not only to product development, but also to conversion rate optimization. The extension would be "don’t focus on getting more visitors until your site converts the visitors it already gets."

This is a sentiment we’ve taken to heart here at SEOmoz. So in this post we will share how we grew traffic and conversions in 2009, as well as some of the valuable lessons we’ve learned in the process, which we’re excited to execute on in 2010.

Traffic Statistics from 2009

In the past, SEOmoz has shared data about the traffic we receive (see past years – 2006, 2007). In 2008, we somehow skipped out, but this year, we’re bringing sexy back. Yes, it’s probably helpful to our competitors, but it’s also hugely valuable to our members (we hope) and part of our core value of transparency. So in the same vein of Rand’s blog posts about the venture funding process, we’re opening the kimono and sharing some analysis in hopes that others can benefit from our traffic and conversion rate learnings. 

We’ll start with an overview of visitor and broad traffic data: 

SEOmoz Visits by Month in 2009

The early part of the year featured a big growth, as the overall popularity of the site spiked, new traffic sources (like Twitter) started bringing in visitors and we had some big successes with email marketing. The latter part of the year saw relatively steady numbers, with a small, predictable fall in December for the holidays.

SEOmoz Return Visits by Month 2009

Return visits show a fairly similar trend, with a slight drop in Q4 (though, as you’ll see below, it was a massive growth from 2008).

We’ve come a long way in 2009 – growing traffic to the site as a whole and to the blog. Revenue was also up over 250%, so it’s not just additional visits or visitors – conversions have also been improving.

SEOmoz Free Signups 2009

All this raw data is interesting, but it’s even more valuable to dig in deep and identify the opportunities for improvement.

11 Conversion Rate Optimization Lessons We Learned in 2009

If marketers are captains of leaking ships, finding ways to remove more water faster might work, but plugging the holes and improving conversion rates is much more efficient. At SEOmoz we’re proud of the ship we’re sailing, but there’s also a laundry list of ways we can improve. So based on some of the things we learned in 2009, here are some of the holes we will look to plug to keep the Moz ship rising in 2010.

 
Long Tail Opportunities

Missing Calls to Action







A note on #10 – there are several ways to implement form field tracking, including onclick events or using the track event in Google Analytics. Additionally, Clicktale, though not part of Google Analytics, is a really useful tool for tracking abandonment. For more information on the subject, Distilled’s Duncan Morris has a detailed follow up post on using jquery and GA to track form abandonment.

The takeaways from these slides shouldn’t be – do exactly what we’re doing on your pages – but rather, find a process at your company to identify where your traffic is going, where you are losing customers, and make small conversion rate improvements because, depending on how you monetize your site, making incremental conversion rate improvements could be the most efficient way to hit your revenue goals this year.

For us at SEOmoz, 2009 was an outstanding traffic year. We’re certainly proud of the fact that over 100,000 more visitors will visit the site this January than last January, but we are also well aware of the fact that more traffic does not equate to more revenue. So for this reason, we will continue to place our efforts on better converting the visitors we already have and better retaining our existing PRO members.

In closing, please note that this post is not meant to bash SEO, PPC, social media marketing, or any other traffic building tactics. Getting traffic to websites is what we do. It’s at the core of what we do at SEOmoz! Our goal is simply to be transparent about how we’re working to improve our business. Admittedly, however, when Rand says conversion rate optimization will be a major trend in 2010, it’s possible he’s projecting just a little. :-)

Do you like this post? Yes No

Posted by Sam Niccolls

"Don’t do viral marketing until your product doesn’t suck. If you do, more people will find out your product sucks." This pearl of wisdom from serial entrepreneur Dave McClure applies well not only to product development, but also to conversion rate optimization. The extension would be "don’t focus on getting more visitors until your site converts the visitors it already gets."

This is a sentiment we’ve taken to heart here at SEOmoz. So in this post we will share how we grew traffic and conversions in 2009, as well as some of the valuable lessons we’ve learned in the process, which we’re excited to execute on in 2010.

Traffic Statistics from 2009

In the past, SEOmoz has shared data about the traffic we receive (see past years – 2006, 2007). In 2008, we somehow skipped out, but this year, we’re bringing sexy back. Yes, it’s probably helpful to our competitors, but it’s also hugely valuable to our members (we hope) and part of our core value of transparency. So in the same vein of Rand’s blog posts about the venture funding process, we’re opening the kimono and sharing some analysis in hopes that others can benefit from our traffic and conversion rate learnings. 

We’ll start with an overview of visitor and broad traffic data: 

SEOmoz Visits by Month in 2009

The early part of the year featured a big growth, as the overall popularity of the site spiked, new traffic sources (like Twitter) started bringing in visitors and we had some big successes with email marketing. The latter part of the year saw relatively steady numbers, with a small, predictable fall in December for the holidays.

SEOmoz Return Visits by Month 2009

Return visits show a fairly similar trend, with a slight drop in Q4 (though, as you’ll see below, it was a massive growth from 2008).

We’ve come a long way in 2009 – growing traffic to the site as a whole and to the blog. Revenue was also up over 250%, so it’s not just additional visits or visitors – conversions have also been improving.

SEOmoz Free Signups 2009

All this raw data is interesting, but it’s even more valuable to dig in deep and identify the opportunities for improvement.

11 Conversion Rate Optimization Lessons We Learned in 2009

If marketers are captains of leaking ships, finding ways to remove more water faster might work, but plugging the holes and improving conversion rates is much more efficient. At SEOmoz we’re proud of the ship we’re sailing, but there’s also a laundry list of ways we can improve. So based on some of the things we learned in 2009, here are some of the holes we will look to plug to keep the Moz ship rising in 2010.

 
Long Tail Opportunities

Missing Calls to Action







A note on #10 – there are several ways to implement form field tracking, including onclick events or using the track event in Google Analytics. Additionally, Clicktale, though not part of Google Analytics, is a really useful tool for tracking abandonment. For more information on the subject, Distilled’s Duncan Morris has a detailed follow up post on using jquery and GA to track form abandonment.

The takeaways from these slides shouldn’t be – do exactly what we’re doing on your pages – but rather, find a process at your company to identify where your traffic is going, where you are losing customers, and make small conversion rate improvements because, depending on how you monetize your site, making incremental conversion rate improvements could be the most efficient way to hit your revenue goals this year.

For us at SEOmoz, 2009 was an outstanding traffic year. We’re certainly proud of the fact that over 100,000 more visitors will visit the site this January than last January, but we are also well aware of the fact that more traffic does not equate to more revenue. So for this reason, we will continue to place our efforts on better converting the visitors we already have and better retaining our existing PRO members.

In closing, please note that this post is not meant to bash SEO, PPC, social media marketing, or any other traffic building tactics. Getting traffic to websites is what we do. It’s at the core of what we do at SEOmoz! Our goal is simply to be transparent about how we’re working to improve our business. Admittedly, however, when Rand says conversion rate optimization will be a major trend in 2010, it’s possible he’s projecting just a little. :-)

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Using Yahoo! Answers to Generate Leads – Does it Work?

Posted by drummerboy9000

This post was originally in YOUmoz, and was promoted to the main blog because it provides great value and interest to our community. The author’s views are entirely his or her own and may not reflect the views of SEOmoz, Inc.


Inspired by a great post by Vaidhyanathan, I began answering questions on Yahoo! Answers near the beginning of this year. Since then I have answered over 50 questions, nearly always related to metal roofing. Nearly 12 months later I sat down and did a study to find out:

Was the time I was spending answering these questions resulting in a reasonable amount of usable leads?

On to the data:

From my 53 answers, I received 562 visits, with a bounce rate of 33.5%, spending an average of 3:03 per visit.

First I compared the conversion rates of Yahoo! Answers traffic with PPC rates from the same period:

Conversion rates - PPC vs. Yahoo Answers

(Conversions are either a customer filling out and submitting a form for more information, or clicking on a link to our contact page.)Data this chart was made from is available as an Excel spreadsheet here.

As you can see, the conversion rates from Yahoo! Answers are nowhere near those coming from our PPC campaigns. That being said, to accurately understand how much this traffic is worth, you need to find out the cost of this traffic per visitor.

Cost Per Visit from Yahoo! Answers

This data is available as an interactive Excel spreadsheet here.

The conversion rates for traffic from Yahoo! Answers are lower than those of PPC traffic, but the cost per visit is less. So to accurately compare them, we do some more number crunching:

Cost Per Lead Conversion - PPC vs. Yahoo Answers

(For privacy reasons I unfortunately can’t give you all the PPC data I would like to.)

So basically, for Best Buy Metals, it makes sense to continue spending time answering questions on Yahoo! Answers.

Important tip:

Don’t rush out to Yahoo! Answers and answer every question with a link to your website at the end!

Answer relevant questions in a non-spammy relevant way. Then include your website as a source at the end. You are the source, as a representative of your company, so this is not deceptive, and people don’t mind it. You can check out my Yahoo Answers profile here.

Coming soon… How to use Yahoo! Answers in a way that benefits your company and the Yahoo! Answers community – The complete guide.

 

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Posted by drummerboy9000


Inspired by a great post by Vaidhyanathan, I began answering questions on Yahoo! Answers near the beginning of this year. Since then I have answered over 50 questions, nearly always related to metal roofing. Nearly 12 months later I sat down and did a study to find out:

Was the time I was spending answering these questions resulting in a reasonable amount of usable leads?

On to the data:

From my 53 answers, I received 562 visits, with a bounce rate of 33.5%, spending an average of 3:03 per visit.

First I compared the conversion rates of Yahoo! Answers traffic with PPC rates from the same period:

Conversion rates - PPC vs. Yahoo Answers

(Conversions are either a customer filling out and submitting a form for more information, or clicking on a link to our contact page.)Data this chart was made from is available as an Excel spreadsheet here.

As you can see, the conversion rates from Yahoo! Answers are nowhere near those coming from our PPC campaigns. That being said, to accurately understand how much this traffic is worth, you need to find out the cost of this traffic per visitor.

Cost Per Visit from Yahoo! Answers

This data is available as an interactive Excel spreadsheet here.

The conversion rates for traffic from Yahoo! Answers are lower than those of PPC traffic, but the cost per visit is less. So to accurately compare them, we do some more number crunching:

Cost Per Lead Conversion - PPC vs. Yahoo Answers

(For privacy reasons I unfortunately can’t give you all the PPC data I would like to.)

So basically, for Best Buy Metals, it makes sense to continue spending time answering questions on Yahoo! Answers.

Important tip:

Don’t rush out to Yahoo! Answers and answer every question with a link to your website at the end!

Answer relevant questions in a non-spammy relevant way. Then include your website as a source at the end. You are the source, as a representative of your company, so this is not deceptive, and people don’t mind it. You can check out my Yahoo Answers profile here.

Coming soon… How to use Yahoo! Answers in a way that benefits your company and the Yahoo! Answers community – The complete guide.

 

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Whiteboard Friday – Keyword Strategies: Kill the Head or Chase the Tail

Posted by great scott!

Welcome, dear readers, to the first Whiteboard Friday of 2010!! As you may notice, there’s a bit of a new look. This comes in large part from our move to a different video hosting solution. We hope these changes will provide a higher-quality WBF experience, and better accessibility for our viewers around the world. On with the show…

There’s always debate: should you focus on your big head terms, or those wide-ranging tail terms? We’ve invited one of our best mozMates, Will Critchlow of Distilled, to join us for a look at how to balance your keyword strategy.

A major factor in designing your strategy needs to be analytics data. As Will discusses, many people find that analytics show most of their conversions coming from branded keyphrases, but this doesn’t adequately reflect the search path people are following before they make a latent conversion.  In the video Rand and Will discuss how to take this into account and make sure you’re targeting the best phrases for your business and your audience.

Will is currently stuck at the airport trying to get home to the snowed-in United Kingdom, so the post he references in the video isn’t available yet. In the mean time, you can view his slide deck from the "Analytics Every SEO Should Know" presentation he gave at the SEOmoz London Seminar this winter. Slides 23 and 24 show a little bit about first-touch and multi-touch search analytics. Keep an eye here, or on the Distilled blog for his post about doing first-touch analysis in Google Analytics.

Will’s post is up! Check it out: How To Get Past Last-Touch Attribution With Google Analytics

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Posted by great scott!

Welcome, dear readers, to the first Whiteboard Friday of 2010!! As you may notice, there’s a bit of a new look. This comes in large part from our move to a different video hosting solution. We hope these changes will provide a higher-quality WBF experience, and better accessibility for our viewers around the world. On with the show…

There’s always debate: should you focus on your big head terms, or those wide-ranging tail terms? We’ve invited one of our best mozMates, Will Critchlow of Distilled, to join us for a look at how to balance your keyword strategy.

A major factor in designing your strategy needs to be analytics data. As Will discusses, many people find that analytics show most of their conversions coming from branded keyphrases, but this doesn’t adequately reflect the search path people are following before they make a latent conversion.  In the video Rand and Will discuss how to take this into account and make sure you’re targeting the best phrases for your business and your audience.

Will is currently stuck at the airport trying to get home to the snowed-in United Kingdom, so the post he references in the video isn’t available yet. In the mean time, you can view his slide deck from the "Analytics Every SEO Should Know" presentation he gave at the SEOmoz London Seminar this winter. Slides 23 and 24 show a little bit about first-touch and multi-touch search analytics. Keep an eye here, or on the Distilled blog for his post about doing first-touch analysis in Google Analytics.

Will’s post is up! Check it out: How To Get Past Last-Touch Attribution With Google Analytics

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SEOmoz’s Venture Capital Process

Posted by randfish

Prelude: I’ve long promised blog readers a detailed accounting of my experiences raising capital over the course of last summer and into the fall. My apologies for the long delay, and to those seeking more SEO-focused content. This entry is lengthy, detailed and designed to share as much as possible, so hopefully you’ve got a good 20 minutes to read it :-) We’ll be back to SEO tips & tricks tomorrow.

Sections in this post:

Introduction to our Process & Venture Capital

In this post, my goal is to walk you through the process we used, the feedback we received and the final results and decisions. Fundraising is a demanding, lengthy, emotionally charged process and something that challenged me personally more so than any other single part of my life in the last 5 years. I hope that by sharing my experience I can help others who start down this road and give you an idea of what to expect. The more knowledge you have, the less fear can hold you up; that’s what this post is here to accomplish.

First, I’ll try to provide some context around why we went to raise money in the first place, how we constructed our "pitch deck," how we got introductions and meetings to a large number of VCs and the progress from initial meetings to partner meetings to final decisions.

SEOmoz started the VC process in June 2009, in possibly the worst climate for fundraising since 2001. You can see the stark contrast from our timing with the previous round in, arguably, the best environment since 2000.

VC Invested 2007-2009
Graph of Venture Capital Invested by Quarter (via NVCA)

Ventue capital is "expensive" money, not just in terms of the price paid in equity, but in the obligations and requirements that come with it. In our Series A, we took money more like a seed investment – Michelle & Kelly saw potential and wanted to see what could happen. Raising another round meant aiming to hit the "home run." For those who are unfamiliar, the startup world has built an entire lexicon around the "seriousness" and exit-size focus of a company that ranges from "lifestyle" businesses that don’t try to achieve multi-million dollar scale to "home runs" that exit for $1billion+.

Note that there’s plenty of criticism of this model from both the venture side and from entrepreneurs and operators. Lots of other blogs have talked about the imbalance in interests between founders and investors and current market conditions vs. expected VC portfolio returns. I won’t re-hash these, but as a broad overview, most venture funds have 100s of millions of dollars from their LPs (Limited Partners – folks like large endowment funds, pensions, government entities, extremely wealthy individuals, etc). In order to provide significant returns, they follow a model of investing in a few dozen startups, most of which will go bankrupt and, hopefully, 1-3 of which will provide most of the profits in billion dollar+ "exits" (an acquisition or IPO).

This somewhat odd scenario means that VCs are often investing in "long shots" to be huge, rather than low-risk bets for more reasonable exits (for example, an 80% chance of exiting for $150 million is not nearly as interesting as a 10% chance of exiting for $1 billion). As an entrepreneur, particularly a first-time startup guy who has $3,000 in his checking account, an orange scooter and a small apartment, the incentive is completely the reverse. Fred Wilson wrote a bit about this disparity in his post on Swinging for the Fences.

In order to be appealing to a venture investor, especially those with larger fund sizes ($300 million+), a company must be able to show a credible path to that $1 billion+ exit. Since the average VC-backed exit is actually something under $100 million, it’s a bit of a "wink, wink; nod, nod" game. Both parties recognize that a more likely outcome is something far lower, but the "sell" has to include the envision-able path to hundreds of millions in annual revenue that can yield those tremendous exits. Again, I’ll point to Fred, who wrote about the Venture Capital Math Problem (and a Part 2).

Building the Pitch

You can read a lot more about the catalysts for fundraising on my post – My Startup Experience: VC, Entrepreneurship, Self-Analysis & the Road Ahead – so I’m going to dive right into the process for creating a pitch deck.

We started with a lot of great advice and direction from entrepreneurs who’d been down this road before and also got terrific help from the partners at Ignition, for whom we delivered a "mock" pitch and collected feedback that helped push us in some smart directions. As a base, we used the model promoted by VentureHacks and sprinkled in bits liberally from Dave McClure’s excellent How to Pitch a VC deck and Guy Kawasaki’s – Perfecting Your Pitch (PDF).

The process itself involved sheets of paper affixed to a large wall, which we’d then swap around, tear up, mark up with pens and generally treat like a post-it-note fight. We started with blank paper that we’d draw on, then began creating real slides in Powerpoint. It was fun – exhilirating and stressful, yes, but also exciting. We were going to raise millions of dollars, put that money to work and build incredible product and an amazing revenue stream.

Before we did that, we had to get beaten up a bit first. I mentioned that we gave a test-run pitch of the deck to the board at Ignition Partners (our first-round investors). We also privately delivered the pitch to a handful of CEOs and angel investors, hoping to garner feedback and assistance (these weren’t serious attempts to raise money, as we weren’t seeking an angel-type deal). The great part is, we really did get beat up. I have pages and pages of notes from meetings where I showed the pitch to other entrepreneurs and got feedback ranging from "this is almost perfect, just tweak X" to "you need to start completely from scratch, and here’s the deck I used to raise $XY millions in my last round."

I’m going to come back to this again below, but the generosity of time, energy and prior work (even stuff that’s usually very private) from other startup CEOs and entrepreneurs was absolutely remarkable. I found none of the closed-door mentality or brash indifference I expected, especially in Silicon Valley. Founders and CEOs, who had multi-million dollar businesses to run would take hours out of their days to have lunch, walk through the deck, and introduce us to VCs they knew. I’ve rarely known so much goodwill from people who have so many demands on their time.

The Pitch Itself

Let’s get to the meat and potatoes, as I’m sure by now you’re hungry :-)

The "elevator pitch" sounded something like:

SEO is huge – every site on the web is doing it or wants to be. But the process is broken – it’s hard to learn, hard to measure, hard to know what’s working and far more art than science. We are going to build software that helps transform SEO into a mainstream marketing activity, the way analytics software (Urchin, Omniture, etc.) did for web visitor reporting or email software (iContact, ExactTarget) did for email marketing.

Unfortunately, I’m not going to share the exact deck we used, nor all the details from it. Transparent though I love to be, there’s a lot of information and data points that aren’t fit for public consumption. It’s less that I believe any of this data could be used to materially harm us and more that we’ve made promises to our investors and board to keep this stuff internal for now. I will say this – while I believed strongly in the deck when we first created it, that confidence was somewhat eroded by the end of the process. In late September, for example, I think I could have done a far better job crafting and delivering the pitch than when I gave my first one in July (only 60 days before).

Below, you’ll find a modified version of the original pitch deck (we later crafted many customized versions with slides particular VCs wanted to see). It doesn’t include things like a P&L statement or specific customer retention/churn/lifetime value metrics, but hopefully it will still be valuable and interesting.

Since I didn’t include revenue/profit numbers in this deck (and it’s hard to get a sense for how a potential investor might perceive this without it), I’ve included some non-specific growth charts below, illlustrating the top-line numbers in a profit-and-loss statement:

SEOmoz's Revenue Breakdown 2007-2009 

I’ve also left out some portions of our very large appendix. The appendix, in fact, was one of the most interesting parts of the deck. When we started the process, it was 5-6 slides with additional information about market size, importance, some detailed stats on membership, lifetime customer value calculations, etc. A month into the process, it was nearly 30 slides, attacking every question, problem or issue that had been raised in meetings where we didn’t have an immediate solid answer or data point. I really believe that the VC process is all backwards in this fashion. The pitching company should:

  1. Have an introductory call to see if there’s interest
  2. Attend a sit down meeting with a partner or two, some associates and a dilgent notetaker to get all the questions, concerns and issues on the table
  3. Go back home, make a great deck that addresses the things the VCs care about
  4. Come back and give the formal pitch

Instead, many pitch meetings at the beginning made us feel like amateurs and it was only at the end of the process that we felt more comfortable tackling any question thrown our way (mostly because we’d heard nearly all of them before). In my opinion, venture capital shouldn’t be about who has the most experience pitching, or who can deliver the best pitch, but about who has the most exciting, interesting company. In the current model, it feels like 80% sizzle (pitch) and 20% steak (company).

Then again, what do I know about the VC process? I got lucky in my mid-twenties, landed a bit of capital, and have never invested or even studied the venture model the way the professionals have. Perhaps ability to pitch and success of company are well correlated metrics or at least, indicative of company performance. I’ll leave that to those more knowledgable on the topic.

In any case, now that we had this story to tell (the pitch deck), we needed an audience.

Getting Introduced to Venture Capitalists

I initially presumed that our investors (Kelly & Michelle) would drive this process of introductions and networking, but in reality, this is apparently a suboptimal methodology. Michelle explained (and many others concurred) that entrepreneurs themselves provide the best introductions. Thus, it was my task to find other founders & CEOs who would provide positive connections to the investor community. Outside of Ignition, I knew virtually no one in that sphere, so this would be my first formidable challenge.

Thankfully, the entrepreneur community was incredibly kind – generous to a fault, actually. Busy CEOs of important startups took time away from their jobs to sit down for coffee with me, buy me lunch, take me to dinner, review the pitch deck we’d built, give advice and make introductions to a very impressive set of folks in the VC world. In exchange, I did the best I could to help them with SEO, and we hosted a number of great companies at our offices in Seattle for hour-long SEO reviews. It will be hard to thank everyone here, but I’ll do my best:

I’m indebted to all of these great folks and I can only hope that the SEO help we provided to many of them has returned some of that.

However, this part of the process is also where we made our first big misstep. Explaining will take a bit of background.

SEOmoz’s business model is what’s generally called "self-service SaaS." Similar to most SaaS companies, we sell software in a subscription/licensing type of model and, as has become common in the last few years, do it "in the cloud" (meaning we don’t install software; everything’s run remotely over the web). However, we’re very different from traditional "SaaS" in that we have no sales team. There isn’t a single person at SEOmoz whose job title or description includes sales (though, technically, if Gillian and I had descriptions, "sales" might be part of that).

Our business model and margins might result in an acquisition price (sale of the company) of between 3-6X trailing revenue, depending on the market circumstances, growth rates, strategic importance, etc. This is massively favorable to consulting revenue, which typically garners 1-1.5X. Put another way:

  • An SEO consulting business sale price (assuming $5 million in trailing revenue) = $5-7.5 million
  • An SEO self-service SaaS business sale price (assuming $5 million in trailing revenue) = $15-30 million

It’s no surprise that investors are far more interested in these "scalable" business models that have higher exit multipliers. This is a big reason why you rarely ever see venture or angel capital flowing into consulting firms. The margins on a consulting business hover between 40-55%. Margins in software get closer to 80%+ and scale isn’t proportionally tied to cost (in most consulting businesses, the more you want to make, the more consultants you need to hire). 

In our situation, a VC in the B-round would be likely to get something between 15-20% ownership in the company (depending on valuation, amount in, etc). Let’s look at a chart that helps explain why we messed up from a strategic standpoint in the introductions process:

VCs Level of Interest Based on Levels of Outcome

Doing the math, even at the high end of the revenue/exit numbers, the VC is making 15% x $450 million = $67.5 million. If you have a $300 million fund and invest in 20 companies, you need at least 6 and hopefully 7-8 of those to hit in that range. The odds say that 10 of those companies will go under, 8 will have much more modest outcomes and 1-2 will return the lion’s share. Thus, big fund VCs are going to be seeking portfolio investments that address multi-billion dollar markets and have a shot at that massive IPO/acquisition.

A smart entrepreneur would look at this ahead of time and specifically chase venture capital firms with small-moderate fund sizes. Unfortunately, we didn’t plan ahead intelligently on this, and thus talked to many folks with funds between $100-500million. At those levels, it’s the 1/20 or 1/50 billion dollar+ exits that bring all the returns for the VC. They’re not seeking a reasonable bet on a company that has an long-shot, outside chance at a $500 million exit. They want 20 or 30 companies with 1 in 20 or 1 in 30 chances to go all the way to that billion dollar acquisition or IPO.

Our introductions came streaming in very unstrategically. I met with lots of entreprenuers and people in the tech community, who put me in touch, usually via an email introduction, to a partner at a firm. We’d exchange a couple emails to set up a time to talk, chat for 15-45 minutes (sometimes longer) and then schedule an in-person meeting for the next time I was in their area. Those introductions didn’t come all at once – in the first 30 days of actively pursuing introductions, I had ~10 calls. Then, over the next 40 days, more and more introductions would roll in from people I’d connected with in the past couple months, and those would turn into calls and meetings.

I talked to entrepreneurs who were much more strategic and exacting about their introductions process (and plenty who followed a similar pattern to what I did). In hindsight, it wasn’t perfect, but I did get to meet a tremendous number of very impressive investors and get their feedback.

The Meeting Process

During our fundraising experience, we connected with a lot of VCs. I’ve taken a screenshot of the the firms we talked to below (from my Google spreadsheet file on the subject), though I won’t go into more detail about who from each firm we talked to or how far along we progressed with each of them. I think there’s an expectation of privacy most VCs have, and I want to respect that. BTW – I’m not listing every single firm we talked to, but this is a more-than-representative sample and hopefully fulfills our core value of transparency.

List of VCs

Initially, we were very excited and I’ll try to explain why. When starting out, our expectations (thanks to both advice from other entrepreneurs and via blog posts/articles the web) were that 10-20% of phone calls would lead to first meetings , a few of these might turn into partner meetings and we’d hopefully get a term sheet or two at the end. Instead, the funnel looked like this:

VC Conversion Path

As you can see, we had phone calls with 40 firms, and had a surprisingly high conversion rate to first meetings, which had us initially enthusiastic. VCs are notoriously busy, and scheduling time with them is often a massive challenge. To have such a high percentage of firms interested in such a dour climate made us believe we could buck the trend. Unfortunately, it also meant lots of time we needed to invest in preparing for, and in most cases, flying out of Seattle for in-person meetings.

The entire process from the first call I had with a partner (on June 18th) to the time we stopped actively pursuing funding (September 30th) was 93 days. In that time I made 5 separate round trips to San Francisco, which adds up in hotel, airfare and car rentals. Raising money takes time, resources and a tremendous amount of energy, not just from the founder/CEO, but from the entire team. Adam & Matt were consistently pulled away from day-to-day and strategic work to create and refine the product demo. Sarah, Christine & our accountants labored to provide detailed financials. Jeff often had to postpone critical work items to make custom queries against our members database to pull an obscure metric about recitivism, churn or usage.

The meetings themselves are fascinating. I’ll be honest – the first few were completely intimidating and overwhelming. Like most times in life when you’re nervous, it wasn’t until I stopped worrying and (very nearly) stopped caring, that I got good at the process.

You arrive at a nondescript, but very well-adorned office building, almost all of them on Sand Hill Road in Menlo Park. An assistant, who is nearly always young, female, very attractive and somewhat cold (though there were a number of exceptions), greets you in the front room and will offer a beverage. I typically waited only 5-10 minutes, though a few times it was 20 minutes or more, after which I’d be escorted into a meeting room with a place to plug in my laptop to a projector or screen. VC offices provide free wifi (though I always brought my AT&T aircard just in case) and are designed to impress – expensive furnishings and artwork, placards showing the successful companies they’ve backed and the massive IPOs/exits those companies had.

The VCs themselves ran the gamut, from friendly, approachable and jovial to overly serious, harsh and distant. Intentionally or unintentionally, they all have some emotional walls up, which I believe are out of necessity and certainly don’t begrudge. If you’re meeting with dozens of entrepreneurs every week, you can’t get personally attached or build close relationships with even a fraction of them, especially if you’re not going to make an investment. It’s a very different experience from the many hundreds of other meetings I’ve had in my professional career, where establishing rapport and working in a mutually positive fashion is the norm. VCs need to drill down on specifics, call out your flaws, explain what they don’t like and gloss over a lot of positives in the process. A typical partner meeting lasts precisely one hour, and in my experience, that rarely deviated (a few times we ran over, and more than a few times things started late).

Second meetings are often pretty similar in format, though there’s typically more than one partner from the VC firm in attendance, as well as an associate or two. I also found that it was extremely helpful to bring Sarah Bird (SEOmoz’s COO and a guru when it comes to our financials) as well as Nick Gerner and/or Ben Hendrickson (who convincingly play the role of "way smarter about technology than anyone else in the room") to these meetings. They’d sometimes be a bit longer, and would almost always request a much greater degree of detail, as well as significant "objections" to the investment, which were frequently presented as challenges we were intended to conquer using slides, data and verbal acuity.

Following both first and second meetings would be the impossible-to-parse "thanks, we’ll be in touch." We’d take guesses about which VCs were actually interested and would follow up vs. those who’d email to say "no thanks" or simply never communicate again (the latter bothered me at first, but once you realize it’s just part of the accepted cultural practice, it’s fine). Surprisingly, we were never good at this. We’d often mistakenly think one VC was interested when they weren’t and vice versa. They’re a notoriously hard-to-read bunch, perhaps intentionally.

I have a much tougher time presenting a representative partner meeting, as we only had two. They almost always take place on Monday, though, and you’re often back-to-back scheduled with pitches from other entrepreneurs. A larger, board-style meeting room will be filled with all of the firm’s partners and you’ll present the same pitch you made to the first partner to this group. Questions can get a bit strange if my experience is any guide – tangents and off-topic discussions come into play and it seems to be up to the entrepreneurs to keep things on track. I think this happens because in any given partner meeting, a good number of the partners won’t be familiar with your industry, company or technology, and may not even be interested. I imagine that if you specialize in clean-tech investments, listening to an SEOmoz pitch can get a bit boring, and you might, naturally, focus on the one or two areas you know something or have heard something about.

I will say that my experience with the vast majority of VCs we saw was not nearly as negative as what Fred Destin wrote about in his posts for VentureHacks – The Arrogant VC: Why VCs are Disliked by Entrepreneurs and Part 2. Certainly a few of these traits came out, but by and large, I felt these were responsible, talented, experienced individuals doing a hard job the best they could and putting forward both a serious effort and respect for me, my company and my time.

For a completely alternate perspective on what it was like for my wife, who accompanied me on 2 of my 5 fundraising trips, check out A little more than 24 Hours in Palo Alto and San Francisco. I do wholeheartedly recommend someone who loves you unconditionally and pretends to be unable to identify a single flaw in you, your company or your pitch, supporting you in the VC process. It can get very lonely and emotionally turbulent.

What Worked & What Didn’t

When it came time to analyze the results, we tried our best to aggregate feedback, both positive and negative, for our board meetings back in Seattle. Early on, we focused on refining the pitch, but we were (I think uncommonly) stubborn about changing our business plan or product roadmap significantly to suite investors’ opinions. We felt (and feel) strongly about the direction we want to pursue, and that may have been perceived negatively by some (though I know it was a positive to at least one investor who talked to us afterwards).

Following any "no" response, including a "no answer" within a couple weeks following the meeting, I’d email and ask for a phone call to discuss. 60%+ of the VCs we had met in person took those calls and explained to us some of their reasons for rejecting the investment.  I’d specifically ask what they liked, what they didn’t and what they recommended for us to improve. I was both impressed and grateful to receive a number of thoughtful, honest answers, and encountered only a couple of folks who clearly didn’t remember our pitch or company well enough to provide a cogent response.

Some of the things the VCs generally liked:

  • The Self-Service SaaS Business Model – although there were a few dissenters who thought we should pursue a more classic SaaS business with tele-sales would be better, most were supportive of the self-service methodology.
  • The Community & Userbase – that’s you! Great work, gang :-)
  • The Marketing/Sales Funnel – investors tended to like the freemium/content model that attracted potential customers at a low marketing cost
  • The Technology Achievements – nearly all of the VCs with technical backgrounds were impressed by what we’d achieved with the Linkscape web index and ranking models work, particularly on such a small amount of capital.

Unfortunately, there wasn’t a clear winner in the reasons VCs didn’t want to make an investment. I did, however, make a quick chart noting which reasons were most frequently given by the investors for why chose against us:

Reasons VCs Didn't Invest

It’s important to note that many of the VCs who said no that we followed up with gave multiple reasons for the decision. Some of these we found very reasonable and agreed with, others we struggled with. The most perturbing by far were the few folks who came back and said they didn’t like to back the consulting revenue model and would be more interested once we were more product-focused. When I’d explain that we had 80%+ of revenue for the past three years coming from the self-service SaaS product, awkward silences would follow. Still, these are investors who likely talk to hundreds of companies each year, so it must be incredibly challenging to keep things straight – and it speaks to our need to move away from consulting in our branding and perception.

The Final Outcome

It’s likely very obvious at this point that we didn’t receive term sheets or offers to fund. In actuality, that’s not technically the case – we did have firms interested, just not a the relatively high pre-money valuation numbers we sought. As you can see in the graphic above, there were a number of VCs who may have offered us terms at a lower valuation, though it’s hard to say for certain.

The reason we went in with a high valuation "ask" goes back to the very beginning of the post. From the founders’ perspective (and those of employee shareholders), an exit has to be judged through the lens of ownership percentages. If I or Gillian or Sarah owned, for example 50% of SEOmoz’s shares (none of us do - this is just an example), in a $20 million exit, we’d make $10 million. If venture capital comes in and dilutes that to 35% ownership, that number drops to $7 million in the same exit scenario. Hence, every owner of SEOmoz shares has a vested interest in seeing the final exit price reach the highest possible figure while maintaining the lowest possible level of dilution.

My understanding is that it’s very unorthodox to present a minimum pre-money valuation to investors prior to a term sheet. I believe this is because you’re potentially "laying too many cards on the table" and you may actually be hurting yourself if the VCs planned to offer a higher pre-money figure. We did it both because we like to be transparent and because we hoped to prevent ourselves from wasting time with investors who couldn’t meet our minimums. Our hope was that by giving that number in the first conversation (over the phone) and in the initial pitch deck, we’d achieve similar results as those we had in the past by publishing our prices for consulting – reduce the target market size and improve the quality.

I tell this story about our VC experience to a lot of people – it seems to be a subject that attracts great curiousity and I, of course, love to share. Most of the time, folks follow up by asking "are you disappointed?" and my answer has been the same since October. I’m not disappointed we didn’t get funded. In fact, the more time passes and the more I think about the pitfalls that could have come with another round of investment, additional board members and pressure to reach $75-$100 million in annual revenue, the more I’m glad we didn’t. However, I do regret the decision to seek funding – it cost our team countless days and weeks of productivity, took our eyes off our primary goal of delighting our members and customers and, in the end, was a learning experience with a shockingly high cost.

That said, I do think we learned a tremendous amount and really helped clarify the vision internally and to our existing board members and investors about where this company is going and what our roadmap looks like. We had dozens of smart, analytical, experienced investors reviewing our plans and ideas, and we received a lot of very positive feedback. Nearly everyone we encountered had positive things to say about the business’ future, regardless of investment, and I’m glad we were able to be in a situation where we could turn venture funding down. I have friends here in Seattle and in the Bay Area who didn’t have that luxury – who HAD to get funded, no matter the cost, because their company’s future and employees depended on it. That’s a burden I don’t wish on anyone, and I hope more and more startups are finding ways to live lean and do more with less.

So, it’s 3:45am and I’ve been working on this post on and off since before the holidays. There’s so much more I want to add, but I think I’ll leave that up to you. If you have questions I can answer, PLEASE post them in the comments and I’ll do my best to incorporate that material into the post as it makes sense. Thanks for all the support, kindness and patience – I hope this has been valuable.

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Posted by randfish

Prelude: I’ve long promised blog readers a detailed accounting of my experiences raising capital over the course of last summer and into the fall. My apologies for the long delay, and to those seeking more SEO-focused content. This entry is lengthy, detailed and designed to share as much as possible, so hopefully you’ve got a good 20 minutes to read it :-) We’ll be back to SEO tips & tricks tomorrow.

Sections in this post:

Introduction to our Process & Venture Capital

In this post, my goal is to walk you through the process we used, the feedback we received and the final results and decisions. Fundraising is a demanding, lengthy, emotionally charged process and something that challenged me personally more so than any other single part of my life in the last 5 years. I hope that by sharing my experience I can help others who start down this road and give you an idea of what to expect. The more knowledge you have, the less fear can hold you up; that’s what this post is here to accomplish.

First, I’ll try to provide some context around why we went to raise money in the first place, how we constructed our "pitch deck," how we got introductions and meetings to a large number of VCs and the progress from initial meetings to partner meetings to final decisions.

SEOmoz started the VC process in June 2009, in possibly the worst climate for fundraising since 2001. You can see the stark contrast from our timing with the previous round in, arguably, the best environment since 2000.

VC Invested 2007-2009
Graph of Venture Capital Invested by Quarter (via NVCA)

Ventue capital is "expensive" money, not just in terms of the price paid in equity, but in the obligations and requirements that come with it. In our Series A, we took money more like a seed investment – Michelle & Kelly saw potential and wanted to see what could happen. Raising another round meant aiming to hit the "home run." For those who are unfamiliar, the startup world has built an entire lexicon around the "seriousness" and exit-size focus of a company that ranges from "lifestyle" businesses that don’t try to achieve multi-million dollar scale to "home runs" that exit for $1billion+.

Note that there’s plenty of criticism of this model from both the venture side and from entrepreneurs and operators. Lots of other blogs have talked about the imbalance in interests between founders and investors and current market conditions vs. expected VC portfolio returns. I won’t re-hash these, but as a broad overview, most venture funds have 100s of millions of dollars from their LPs (Limited Partners – folks like large endowment funds, pensions, government entities, extremely wealthy individuals, etc). In order to provide significant returns, they follow a model of investing in a few dozen startups, most of which will go bankrupt and, hopefully, 1-3 of which will provide most of the profits in billion dollar+ "exits" (an acquisition or IPO).

This somewhat odd scenario means that VCs are often investing in "long shots" to be huge, rather than low-risk bets for more reasonable exits (for example, an 80% chance of exiting for $150 million is not nearly as interesting as a 10% chance of exiting for $1 billion). As an entrepreneur, particularly a first-time startup guy who has $3,000 in his checking account, an orange scooter and a small apartment, the incentive is completely the reverse. Fred Wilson wrote a bit about this disparity in his post on Swinging for the Fences.

In order to be appealing to a venture investor, especially those with larger fund sizes ($300 million+), a company must be able to show a credible path to that $1 billion+ exit. Since the average VC-backed exit is actually something under $100 million, it’s a bit of a "wink, wink; nod, nod" game. Both parties recognize that a more likely outcome is something far lower, but the "sell" has to include the envision-able path to hundreds of millions in annual revenue that can yield those tremendous exits. Again, I’ll point to Fred, who wrote about the Venture Capital Math Problem (and a Part 2).

Building the Pitch

You can read a lot more about the catalysts for fundraising on my post – My Startup Experience: VC, Entrepreneurship, Self-Analysis & the Road Ahead – so I’m going to dive right into the process for creating a pitch deck.

We started with a lot of great advice and direction from entrepreneurs who’d been down this road before and also got terrific help from the partners at Ignition, for whom we delivered a "mock" pitch and collected feedback that helped push us in some smart directions. As a base, we used the model promoted by VentureHacks and sprinkled in bits liberally from Dave McClure’s excellent How to Pitch a VC deck and Guy Kawasaki’s – Perfecting Your Pitch (PDF).

The process itself involved sheets of paper affixed to a large wall, which we’d then swap around, tear up, mark up with pens and generally treat like a post-it-note fight. We started with blank paper that we’d draw on, then began creating real slides in Powerpoint. It was fun – exhilirating and stressful, yes, but also exciting. We were going to raise millions of dollars, put that money to work and build incredible product and an amazing revenue stream.

Before we did that, we had to get beaten up a bit first. I mentioned that we gave a test-run pitch of the deck to the board at Ignition Partners (our first-round investors). We also privately delivered the pitch to a handful of CEOs and angel investors, hoping to garner feedback and assistance (these weren’t serious attempts to raise money, as we weren’t seeking an angel-type deal). The great part is, we really did get beat up. I have pages and pages of notes from meetings where I showed the pitch to other entrepreneurs and got feedback ranging from "this is almost perfect, just tweak X" to "you need to start completely from scratch, and here’s the deck I used to raise $XY millions in my last round."

I’m going to come back to this again below, but the generosity of time, energy and prior work (even stuff that’s usually very private) from other startup CEOs and entrepreneurs was absolutely remarkable. I found none of the closed-door mentality or brash indifference I expected, especially in Silicon Valley. Founders and CEOs, who had multi-million dollar businesses to run would take hours out of their days to have lunch, walk through the deck, and introduce us to VCs they knew. I’ve rarely known so much goodwill from people who have so many demands on their time.

The Pitch Itself

Let’s get to the meat and potatoes, as I’m sure by now you’re hungry :-)

The "elevator pitch" sounded something like:

SEO is huge – every site on the web is doing it or wants to be. But the process is broken – it’s hard to learn, hard to measure, hard to know what’s working and far more art than science. We are going to build software that helps transform SEO into a mainstream marketing activity, the way analytics software (Urchin, Omniture, etc.) did for web visitor reporting or email software (iContact, ExactTarget) did for email marketing.

Unfortunately, I’m not going to share the exact deck we used, nor all the details from it. Transparent though I love to be, there’s a lot of information and data points that aren’t fit for public consumption. It’s less that I believe any of this data could be used to materially harm us and more that we’ve made promises to our investors and board to keep this stuff internal for now. I will say this – while I believed strongly in the deck when we first created it, that confidence was somewhat eroded by the end of the process. In late September, for example, I think I could have done a far better job crafting and delivering the pitch than when I gave my first one in July (only 60 days before).

Below, you’ll find a modified version of the original pitch deck (we later crafted many customized versions with slides particular VCs wanted to see). It doesn’t include things like a P&L statement or specific customer retention/churn/lifetime value metrics, but hopefully it will still be valuable and interesting.

Since I didn’t include revenue/profit numbers in this deck (and it’s hard to get a sense for how a potential investor might perceive this without it), I’ve included some non-specific growth charts below, illlustrating the top-line numbers in a profit-and-loss statement:

SEOmoz's Revenue Breakdown 2007-2009 

I’ve also left out some portions of our very large appendix. The appendix, in fact, was one of the most interesting parts of the deck. When we started the process, it was 5-6 slides with additional information about market size, importance, some detailed stats on membership, lifetime customer value calculations, etc. A month into the process, it was nearly 30 slides, attacking every question, problem or issue that had been raised in meetings where we didn’t have an immediate solid answer or data point. I really believe that the VC process is all backwards in this fashion. The pitching company should:

  1. Have an introductory call to see if there’s interest
  2. Attend a sit down meeting with a partner or two, some associates and a dilgent notetaker to get all the questions, concerns and issues on the table
  3. Go back home, make a great deck that addresses the things the VCs care about
  4. Come back and give the formal pitch

Instead, many pitch meetings at the beginning made us feel like amateurs and it was only at the end of the process that we felt more comfortable tackling any question thrown our way (mostly because we’d heard nearly all of them before). In my opinion, venture capital shouldn’t be about who has the most experience pitching, or who can deliver the best pitch, but about who has the most exciting, interesting company. In the current model, it feels like 80% sizzle (pitch) and 20% steak (company).

Then again, what do I know about the VC process? I got lucky in my mid-twenties, landed a bit of capital, and have never invested or even studied the venture model the way the professionals have. Perhaps ability to pitch and success of company are well correlated metrics or at least, indicative of company performance. I’ll leave that to those more knowledgable on the topic.

In any case, now that we had this story to tell (the pitch deck), we needed an audience.

Getting Introduced to Venture Capitalists

I initially presumed that our investors (Kelly & Michelle) would drive this process of introductions and networking, but in reality, this is apparently a suboptimal methodology. Michelle explained (and many others concurred) that entrepreneurs themselves provide the best introductions. Thus, it was my task to find other founders & CEOs who would provide positive connections to the investor community. Outside of Ignition, I knew virtually no one in that sphere, so this would be my first formidable challenge.

Thankfully, the entrepreneur community was incredibly kind – generous to a fault, actually. Busy CEOs of important startups took time away from their jobs to sit down for coffee with me, buy me lunch, take me to dinner, review the pitch deck we’d built, give advice and make introductions to a very impressive set of folks in the VC world. In exchange, I did the best I could to help them with SEO, and we hosted a number of great companies at our offices in Seattle for hour-long SEO reviews. It will be hard to thank everyone here, but I’ll do my best:

I’m indebted to all of these great folks and I can only hope that the SEO help we provided to many of them has returned some of that.

However, this part of the process is also where we made our first big misstep. Explaining will take a bit of background.

SEOmoz’s business model is what’s generally called "self-service SaaS." Similar to most SaaS companies, we sell software in a subscription/licensing type of model and, as has become common in the last few years, do it "in the cloud" (meaning we don’t install software; everything’s run remotely over the web). However, we’re very different from traditional "SaaS" in that we have no sales team. There isn’t a single person at SEOmoz whose job title or description includes sales (though, technically, if Gillian and I had descriptions, "sales" might be part of that).

Our business model and margins might result in an acquisition price (sale of the company) of between 3-6X trailing revenue, depending on the market circumstances, growth rates, strategic importance, etc. This is massively favorable to consulting revenue, which typically garners 1-1.5X. Put another way:

  • An SEO consulting business sale price (assuming $5 million in trailing revenue) = $5-7.5 million
  • An SEO self-service SaaS business sale price (assuming $5 million in trailing revenue) = $15-30 million

It’s no surprise that investors are far more interested in these "scalable" business models that have higher exit multipliers. This is a big reason why you rarely ever see venture or angel capital flowing into consulting firms. The margins on a consulting business hover between 40-55%. Margins in software get closer to 80%+ and scale isn’t proportionally tied to cost (in most consulting businesses, the more you want to make, the more consultants you need to hire). 

In our situation, a VC in the B-round would be likely to get something between 15-20% ownership in the company (depending on valuation, amount in, etc). Let’s look at a chart that helps explain why we messed up from a strategic standpoint in the introductions process:

VCs Level of Interest Based on Levels of Outcome

Doing the math, even at the high end of the revenue/exit numbers, the VC is making 15% x $450 million = $67.5 million. If you have a $300 million fund and invest in 20 companies, you need at least 6 and hopefully 7-8 of those to hit in that range. The odds say that 10 of those companies will go under, 8 will have much more modest outcomes and 1-2 will return the lion’s share. Thus, big fund VCs are going to be seeking portfolio investments that address multi-billion dollar markets and have a shot at that massive IPO/acquisition.

A smart entrepreneur would look at this ahead of time and specifically chase venture capital firms with small-moderate fund sizes. Unfortunately, we didn’t plan ahead intelligently on this, and thus talked to many folks with funds between $100-500million. At those levels, it’s the 1/20 or 1/50 billion dollar+ exits that bring all the returns for the VC. They’re not seeking a reasonable bet on a company that has an long-shot, outside chance at a $500 million exit. They want 20 or 30 companies with 1 in 20 or 1 in 30 chances to go all the way to that billion dollar acquisition or IPO.

Our introductions came streaming in very unstrategically. I met with lots of entreprenuers and people in the tech community, who put me in touch, usually via an email introduction, to a partner at a firm. We’d exchange a couple emails to set up a time to talk, chat for 15-45 minutes (sometimes longer) and then schedule an in-person meeting for the next time I was in their area. Those introductions didn’t come all at once – in the first 30 days of actively pursuing introductions, I had ~10 calls. Then, over the next 40 days, more and more introductions would roll in from people I’d connected with in the past couple months, and those would turn into calls and meetings.

I talked to entrepreneurs who were much more strategic and exacting about their introductions process (and plenty who followed a similar pattern to what I did). In hindsight, it wasn’t perfect, but I did get to meet a tremendous number of very impressive investors and get their feedback.

The Meeting Process

During our fundraising experience, we connected with a lot of VCs. I’ve taken a screenshot of the the firms we talked to below (from my Google spreadsheet file on the subject), though I won’t go into more detail about who from each firm we talked to or how far along we progressed with each of them. I think there’s an expectation of privacy most VCs have, and I want to respect that. BTW – I’m not listing every single firm we talked to, but this is a more-than-representative sample and hopefully fulfills our core value of transparency.

List of VCs

Initially, we were very excited and I’ll try to explain why. When starting out, our expectations (thanks to both advice from other entrepreneurs and via blog posts/articles the web) were that 10-20% of phone calls would lead to first meetings , a few of these might turn into partner meetings and we’d hopefully get a term sheet or two at the end. Instead, the funnel looked like this:

VC Conversion Path

As you can see, we had phone calls with 40 firms, and had a surprisingly high conversion rate to first meetings, which had us initially enthusiastic. VCs are notoriously busy, and scheduling time with them is often a massive challenge. To have such a high percentage of firms interested in such a dour climate made us believe we could buck the trend. Unfortunately, it also meant lots of time we needed to invest in preparing for, and in most cases, flying out of Seattle for in-person meetings.

The entire process from the first call I had with a partner (on June 18th) to the time we stopped actively pursuing funding (September 30th) was 93 days. In that time I made 5 separate round trips to San Francisco, which adds up in hotel, airfare and car rentals. Raising money takes time, resources and a tremendous amount of energy, not just from the founder/CEO, but from the entire team. Adam & Matt were consistently pulled away from day-to-day and strategic work to create and refine the product demo. Sarah, Christine & our accountants labored to provide detailed financials. Jeff often had to postpone critical work items to make custom queries against our members database to pull an obscure metric about recitivism, churn or usage.

The meetings themselves are fascinating. I’ll be honest – the first few were completely intimidating and overwhelming. Like most times in life when you’re nervous, it wasn’t until I stopped worrying and (very nearly) stopped caring, that I got good at the process.

You arrive at a nondescript, but very well-adorned office building, almost all of them on Sand Hill Road in Menlo Park. An assistant, who is nearly always young, female, very attractive and somewhat cold (though there were a number of exceptions), greets you in the front room and will offer a beverage. I typically waited only 5-10 minutes, though a few times it was 20 minutes or more, after which I’d be escorted into a meeting room with a place to plug in my laptop to a projector or screen. VC offices provide free wifi (though I always brought my AT&T aircard just in case) and are designed to impress – expensive furnishings and artwork, placards showing the successful companies they’ve backed and the massive IPOs/exits those companies had.

The VCs themselves ran the gamut, from friendly, approachable and jovial to overly serious, harsh and distant. Intentionally or unintentionally, they all have some emotional walls up, which I believe are out of necessity and certainly don’t begrudge. If you’re meeting with dozens of entrepreneurs every week, you can’t get personally attached or build close relationships with even a fraction of them, especially if you’re not going to make an investment. It’s a very different experience from the many hundreds of other meetings I’ve had in my professional career, where establishing rapport and working in a mutually positive fashion is the norm. VCs need to drill down on specifics, call out your flaws, explain what they don’t like and gloss over a lot of positives in the process. A typical partner meeting lasts precisely one hour, and in my experience, that rarely deviated (a few times we ran over, and more than a few times things started late).

Second meetings are often pretty similar in format, though there’s typically more than one partner from the VC firm in attendance, as well as an associate or two. I also found that it was extremely helpful to bring Sarah Bird (SEOmoz’s COO and a guru when it comes to our financials) as well as Nick Gerner and/or Ben Hendrickson (who convincingly play the role of "way smarter about technology than anyone else in the room") to these meetings. They’d sometimes be a bit longer, and would almost always request a much greater degree of detail, as well as significant "objections" to the investment, which were frequently presented as challenges we were intended to conquer using slides, data and verbal acuity.

Following both first and second meetings would be the impossible-to-parse "thanks, we’ll be in touch." We’d take guesses about which VCs were actually interested and would follow up vs. those who’d email to say "no thanks" or simply never communicate again (the latter bothered me at first, but once you realize it’s just part of the accepted cultural practice, it’s fine). Surprisingly, we were never good at this. We’d often mistakenly think one VC was interested when they weren’t and vice versa. They’re a notoriously hard-to-read bunch, perhaps intentionally.

I have a much tougher time presenting a representative partner meeting, as we only had two. They almost always take place on Monday, though, and you’re often back-to-back scheduled with pitches from other entrepreneurs. A larger, board-style meeting room will be filled with all of the firm’s partners and you’ll present the same pitch you made to the first partner to this group. Questions can get a bit strange if my experience is any guide – tangents and off-topic discussions come into play and it seems to be up to the entrepreneurs to keep things on track. I think this happens because in any given partner meeting, a good number of the partners won’t be familiar with your industry, company or technology, and may not even be interested. I imagine that if you specialize in clean-tech investments, listening to an SEOmoz pitch can get a bit boring, and you might, naturally, focus on the one or two areas you know something or have heard something about.

I will say that my experience with the vast majority of VCs we saw was not nearly as negative as what Fred Destin wrote about in his posts for VentureHacks – The Arrogant VC: Why VCs are Disliked by Entrepreneurs and Part 2. Certainly a few of these traits came out, but by and large, I felt these were responsible, talented, experienced individuals doing a hard job the best they could and putting forward both a serious effort and respect for me, my company and my time.

For a completely alternate perspective on what it was like for my wife, who accompanied me on 2 of my 5 fundraising trips, check out A little more than 24 Hours in Palo Alto and San Francisco. I do wholeheartedly recommend someone who loves you unconditionally and pretends to be unable to identify a single flaw in you, your company or your pitch, supporting you in the VC process. It can get very lonely and emotionally turbulent.

What Worked & What Didn’t

When it came time to analyze the results, we tried our best to aggregate feedback, both positive and negative, for our board meetings back in Seattle. Early on, we focused on refining the pitch, but we were (I think uncommonly) stubborn about changing our business plan or product roadmap significantly to suite investors’ opinions. We felt (and feel) strongly about the direction we want to pursue, and that may have been perceived negatively by some (though I know it was a positive to at least one investor who talked to us afterwards).

Following any "no" response, including a "no answer" within a couple weeks following the meeting, I’d email and ask for a phone call to discuss. 60%+ of the VCs we had met in person took those calls and explained to us some of their reasons for rejecting the investment.  I’d specifically ask what they liked, what they didn’t and what they recommended for us to improve. I was both impressed and grateful to receive a number of thoughtful, honest answers, and encountered only a couple of folks who clearly didn’t remember our pitch or company well enough to provide a cogent response.

Some of the things the VCs generally liked:

  • The Self-Service SaaS Business Model – although there were a few dissenters who thought we should pursue a more classic SaaS business with tele-sales would be better, most were supportive of the self-service methodology.
  • The Community & Userbase – that’s you! Great work, gang :-)
  • The Marketing/Sales Funnel – investors tended to like the freemium/content model that attracted potential customers at a low marketing cost
  • The Technology Achievements – nearly all of the VCs with technical backgrounds were impressed by what we’d achieved with the Linkscape web index and ranking models work, particularly on such a small amount of capital.

Unfortunately, there wasn’t a clear winner in the reasons VCs didn’t want to make an investment. I did, however, make a quick chart noting which reasons were most frequently given by the investors for why chose against us:

Reasons VCs Didn't Invest

It’s important to note that many of the VCs who said no that we followed up with gave multiple reasons for the decision. Some of these we found very reasonable and agreed with, others we struggled with. The most perturbing by far were the few folks who came back and said they didn’t like to back the consulting revenue model and would be more interested once we were more product-focused. When I’d explain that we had 80%+ of revenue for the past three years coming from the self-service SaaS product, awkward silences would follow. Still, these are investors who likely talk to hundreds of companies each year, so it must be incredibly challenging to keep things straight – and it speaks to our need to move away from consulting in our branding and perception.

The Final Outcome

It’s likely very obvious at this point that we didn’t receive term sheets or offers to fund. In actuality, that’s not technically the case – we did have firms interested, just not a the relatively high pre-money valuation numbers we sought. As you can see in the graphic above, there were a number of VCs who may have offered us terms at a lower valuation, though it’s hard to say for certain.

The reason we went in with a high valuation "ask" goes back to the very beginning of the post. From the founders’ perspective (and those of employee shareholders), an exit has to be judged through the lens of ownership percentages. If I or Gillian or Sarah owned, for example 50% of SEOmoz’s shares (none of us do - this is just an example), in a $20 million exit, we’d make $10 million. If venture capital comes in and dilutes that to 35% ownership, that number drops to $7 million in the same exit scenario. Hence, every owner of SEOmoz shares has a vested interest in seeing the final exit price reach the highest possible figure while maintaining the lowest possible level of dilution.

My understanding is that it’s very unorthodox to present a minimum pre-money valuation to investors prior to a term sheet. I believe this is because you’re potentially "laying too many cards on the table" and you may actually be hurting yourself if the VCs planned to offer a higher pre-money figure. We did it both because we like to be transparent and because we hoped to prevent ourselves from wasting time with investors who couldn’t meet our minimums. Our hope was that by giving that number in the first conversation (over the phone) and in the initial pitch deck, we’d achieve similar results as those we had in the past by publishing our prices for consulting – reduce the target market size and improve the quality.

I tell this story about our VC experience to a lot of people – it seems to be a subject that attracts great curiousity and I, of course, love to share. Most of the time, folks follow up by asking "are you disappointed?" and my answer has been the same since October. I’m not disappointed we didn’t get funded. In fact, the more time passes and the more I think about the pitfalls that could have come with another round of investment, additional board members and pressure to reach $75-$100 million in annual revenue, the more I’m glad we didn’t. However, I do regret the decision to seek funding – it cost our team countless days and weeks of productivity, took our eyes off our primary goal of delighting our members and customers and, in the end, was a learning experience with a shockingly high cost.

That said, I do think we learned a tremendous amount and really helped clarify the vision internally and to our existing board members and investors about where this company is going and what our roadmap looks like. We had dozens of smart, analytical, experienced investors reviewing our plans and ideas, and we received a lot of very positive feedback. Nearly everyone we encountered had positive things to say about the business’ future, regardless of investment, and I’m glad we were able to be in a situation where we could turn venture funding down. I have friends here in Seattle and in the Bay Area who didn’t have that luxury – who HAD to get funded, no matter the cost, because their company’s future and employees depended on it. That’s a burden I don’t wish on anyone, and I hope more and more startups are finding ways to live lean and do more with less.

So, it’s 3:45am and I’ve been working on this post on and off since before the holidays. There’s so much more I want to add, but I think I’ll leave that up to you. If you have questions I can answer, PLEASE post them in the comments and I’ll do my best to incorporate that material into the post as it makes sense. Thanks for all the support, kindness and patience – I hope this has been valuable.

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Blog Reader Census with Hunch

Posted by randfish

I thought we’d try something a bit off-topic and fun today – Hunch’s reader census widget. Go ahead and answer as many questions as you’ve got time for and we’ll publish the results to learn more about the community we’re all in:

document.write(unescape(‘%3Ciframe id=”hunch’+(new Date).getTime()+’” width=”398″ height=”373″ scrolling=”no” frameborder=”0″ marginheight=”0″ marginwidth=”0″ style=”background-color:#fffee6;” src=”http://hunch.com/blogger/seomoz.org/w/?w=398&h=373&uid=lmcq68&d=’)+encodeURIComponent(window.location.host)+unescape(‘” %3E%3C/iframe%3E’));

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I’ll be returning to regularly scheduled programming tonight with my long-delayed blog post about our experience raising venture capital.

UPDATE: See the stats from this survey and how the SEOmoz community compares to the average survey taker at Hunch.

Do you like this post? Yes No

Posted by randfish

I thought we’d try something a bit off-topic and fun today – Hunch’s reader census widget. Go ahead and answer as many questions as you’ve got time for and we’ll publish the results to learn more about the community we’re all in:

Powered by Hunch.com

 

I’ll be returning to regularly scheduled programming tonight with my long-delayed blog post about our experience raising venture capital.

UPDATE: See the stats from this survey and how the SEOmoz community compares to the average survey taker at Hunch.

Do you like this post? Yes No

PageRank Sculpting Is A Waste Of Time

Danny Dover at SEOmoz posted a “scientific” study on whether or not PageRank Sculpting works and his conclusion was – surprise! – it works. Michael Martinez at SEO Theory wrote a scathing refutation of the report. Who is right?
I have to say that my concern is the same as Michael’s and a few other prominent [...]

Danny Dover at SEOmoz posted a “scientific” study on whether or not PageRank Sculpting works and his conclusion was – surprise! – it works. Michael Martinez at SEO Theory wrote a scathing refutation of the report. Who is right?

I have to say that my concern is the same as Michael’s and a few other prominent SEOs. Why doesn’t Dover provide the list of websites he used for his study? He’s asking us all to take his results as gospel without providing the necessary proof. That said, I’m willing to accept that maybe, possibly, PageRank Sculpting works under a few isolated cases. If the conditions are right you can influence your PageRank using internal links. But I’m not willing to buy that spending the time on pursuing it is worth it in the long run.

For every search engine optimization decision you make there is a cost and a (potential) benefit. The problem with SEO cost-benefit analyses is that what works today may not work tomorrow. So you spend hundreds or thousands of hours sculpting your PageRank only to find out a year or two later that everything you accomplished went up in smoke. Maybe that’s why Danny and SEOmoz chose not to publish the websites – they’re afraid Google may reverse engineer the study and change their algorithms to shut it down. Or maybe the test just doesn’t prove the conclusion? Or maybe it does and Danny is protecting his future tests?

Or maybe it doesn’t really matter! If PageRank Sculpting ever really worked at all, it only worked on sites large enough that you’d have to spend hundreds or thousands of man hours carving your link juice just to improve the PageRank on a few pages of your site when you could have done the same thing by performing honest link building, which we’re fairly confident will always be approved by Google and a part of their ranking algorithms.

Personally, while I think this is an interesting discussion, I think PageRank Sculpting is a waste of time. What do you think?

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