Search Engine Benchmarks: Visit to sale conversion rate

posted by Dennis R. Mortensen
Saturday, January 26, 2008
Bookmark: Search Engine Benchmarks: Visit to sale conversion rate

Summary
Microsoft adCenter emerge as the better Search Engine (Paid Search advertising Platform) – from a visit to sale conversion point of view – above Google and Yahoo.

Looking at a site wide non-segmented visit to sale conversion rate is almost meaningless, but used properly, it is a fair metric to use in paid search optimization – In my quest to create a set of segmented Paid Search Benchmarks for this metric, I found that Microsoft appears to be the best converting Search Engine today!


I conducted a study on 15,014,924 visits across multiple global commerce web properties in Q4 2007, with approximately USD 1.2 Million in Paid Search advertising spend (only web properties that actually generated revenue and had SALE actions deployed were included)
 
The reasoning behind researching Paid Search only and not overall traffic from the individual search engines – Is that we per definition have not only a lot of data noise in organic traffic, but more importantly, that from a conversion point of view, you would be much more likely to compare apples to oranges, as you do not control keywords, creative, landing page etc. (you are most welcome to post further questions about my methodology in the comments)
 

Average Visit to sale conversion rate from Paid Search
 
103 - Microsoft
100 - Normalized AVERAGE
088 - Google
076 – Yahoo
 
Source: 15,014,924 visits across multiple global commerce web properties (Q4 2007)
100 = normalized average Paid Search visit to sale conversion rate
(VisualRevenue.com/blog - Dennis R. Mortensen)





The findings which were exceptionally consistent from web property to web property – consistent as in the order of the engines. I did find that there was a large fluctuation, but in almost every instance the order hold true.

Is this then true for everybody? – Not necessarily! This is not a researched conclusion; but a mass Paid Search visit volume observation.

It is of course a lot more provocative visualizing the result as above, but a better representation would probably be to include highs and lows (distribution) and an indication on the deviation.



As a side note; It was actually a quite different set of conversion rates and much more diverse and unique from site to site, when I looked at other success actions. Actions such as user signups, request further information etc. (comparing or presenting the absolute conversion rates, would of course not makes sense).


Conclusion
Comparing visit to sale conversion rate across search engines, should probably include some sort of search engine base line attitude towards Cost Per Action (CPA) – and not just a direct comparison. Furthermore; it is definitely worth investigating other search engines (even using the same keywords, Creative etc.) – if you are on Google AdWords only!

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Your most popular page is likely NOT to be your most popular page

posted by Dennis R. Mortensen
Saturday, January 12, 2008
Bookmark: Your most popular page is likely NOT to be your most popular page

Summary:
By defining a “page” as a portion of content - and thus defining “most popular” page as a ranked list of consumed content, it is very likely that the most popular page (as listed in your Web analytics tool) is NOT the content that is consumed the most, due to Social Media content spread and consumption.

This post is written with the Online Business Measurement Quadrant in mind. A model describing that controlled on-site measurement is simply not good enough if one wants to get a complete picture of real consumer content cunsumption, engagement, sentiment and so forth.

I will be using this analytics blog as an example to test my hypothesis - that my most popular page is very likely NOT my most popular page.

Example site and content:
Site: http://visualrevenue.com/blog

Where the immediate conclusion from my Web Analytics tool is the following:



Which of course is very much in line with what I reported for the 18 most popular web analytics post of 2007 post. Putting that into the context of the Online Business Measurement Quadrant we get the following subset of results:


Controlled On site Content
Traditional marketing messages published on the corporate website, micro websites etc.

TOP 4


Controlled Off site Content
Traditional marketing messages published on third party website sites, widgets etc.

TOP 4


Uncontrolled On site Content
Brand commentary, Ratings and other User Generated Content published on the corporate website, micro websites etc.
  • N/A*
*The only User Generated Content I have implemented is “Comments” – and these are counted as part of the post view and not separately.


Uncontrolled Off site Content
Brand commentary, Ratings and other User Generated Content created and published on third party websites.

TOP 2

I think it is fair to say that I probably not included all sources / measurement points, but I also think it is fair to say that I have enough to conclude on my hypothesis.


Conclusion:
What by first sight looked like the most popular page (What and how to measure Social Networking websites), using my traditional Web Analytics tool to measure Controlled On site Content - is actually not, by far, the most popular content that I produced. That would be; Web Reporting vs. Web Analysis.

2231 views - Web Reporting vs. Web Analysis
437 views - Controlled On site Content
1694 views - Controlled Off site Content
0 views - Uncontrolled On site Content
100 views - Uncontrolled Off site Content

879 views - What and how to measure Social Networking websites
879 views - Controlled On site Content
0 views - Controlled Off site Content
0 views - Uncontrolled On site Content
0 views - Uncontrolled Off site Content

It also becomes clear through my content quadrant categorization, that these choices depends very much on my vantage point – the same content can in essence qualify for all 4 quadrants (But much more about that later). Thanks to June Dershewitz for the Online Business Measurement Quadrant “vantage point” email dialogue.

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