Yesterday, I posted about Enquisite adding a Social Tracking function to our reporting suite. I got quite a bit of email expressing interest in knowing more. In re-reading my post, I also felt a little egg on my face for making the beginner mistake of leaving a [LINK] comment in the post, and not making it live – sorry. Stupid mistakes are easy to make; when you mess up, clean it up!
Anyhow, most of the email & DM’s via twitter (@rzwicky) asked for more info, and screenshots. Beginner mistake #2 – always include screenshots whenever possible so readers know what you are describing. I do realize that none of you can look inside my head and see what I do, so why the heck would I assume that you could visualize what I’m writing about without a picture? When I used to do SEO full-time, I always explained to clients that a picture’s worth a thousand words to human visitors, but zero to the search engines. Why would I ignore such a basic tenet of providing meaningful information? Text is great, but a picture seals the deal. If a picture is worth a thousand words, this is one lengthy document! :-)
So, this post is about correcting yesterday’s errors, and providing more insights into Enquisite Social Reports.
We created Enquisite Optimizer’s Social reports to help provide online marketers with perspective. Last year I spent a fair bit of time talking to all sorts of online marketers: search marketers, social search marketers, social marketers, video optimization specialists, etc., and also VP’s of marketing and CMO’s.
What struck me about social was everyone talked about social, but no one seemed to understand how it related to any of their other marketing activities, nor what conversions it really drove. We already were collecting all the user referral data, but didn’t display the social information. Looking at the information, I realized that while there are some apps which help you understand how many referrals you get from any one channel, there’s no holistic views. For example, when you do a post using bit.ly’s service, you can track how many click through you’re getting from the U.S., but you do have not context as to real geography. We already were reporting on search referrals down to the zip code, so why not do the same with Social? Why not make it possible to track a social push, show where the traffic spiked geographically, and then look at the search referral traffic to see how it compared? Did it follow a similar pattern? Did conversion rates go up? How does one benefit the other? This information was missing from the discussion.
Social marketing offers a huge potential of opportunities in branding, driving visitors, raising awareness, and delivering valued customers to a business. But it’s not a stand-alone channel; it’s a piece of the puzzle. We’ve added social reporting to offer businesses some perspective, so that you can start to understand how they really fit together. For example, take this series of screenshots from Enquisite Social Reports, and then compare it against our Longtail search analytics report.
First off, we have a Longtail type view into social referrals, using categories as a definition. Instead of just reporting on all the referring sites, we added a category layer, so that you can understand the traffic types at a higher layer. In this screenshot you can see that for the particular website being looked at, shopping and consumer review types of social networks deliver the best conversion rates relative to overall social traffic.

In the upper left corner of the screenshot, you should also be able to see the site-wide bounce rate, page view rate and average time on site for referrals from social marketing. Watch how this number changes, and compares against search referral traffic.
Next up, we segmented out just the shopping and consumer review types of social sites – note the segmentation panel. I’ve also dropped in Twitter, as I wanted to see how it related. Note how the traffic quality improves as shown by the increased time on site / pages viewed, and lowered bounce rate.

Now, in this next step, we’ve segmented out social referrals to just ones that came from within the U.S., and are showing this information on the map. Look at the distribution pattern of visitors from social search, and keep this in mind for the comparison to search referrals to come later.
Drilling in to the map view, we have two important perspectives: 1) where do the referrals come from, city by city, and 2) then the following screenshot shows us where visitors were really located when they purchased a product as a result of a referral from a social network or social marketing initiative.


Now let’s compare this against search referrals in Enquisite Optimizer’s Longtail reports. First off, the bounce rate is much lower from search, and the pages viewed and time on site are much higher. So a more engaged visitor from search.

At the present time, search is sending almost 100x the referral traffic that social is to this site. However, to be fair, the business in question hasn’t really engaged a full-on social campaign. More like dipping their toes so far. But, all of a sudden they are recognizing value where they couldn’t before, in that they can understand the conversion rates better, and also they can compare and understand how the two traffic sites overlap.
Finally, let’s look at the map of search referral traffic. First up are referral rates.

Obviously, unlike the social referrals, the search traffic to this business is very broadly dispersed. Looking at conversion rates however, a different trend emerges:

Interesting how the Pacific Northwest is over-represented for conversions, relative to search referrals.
Finally, let’s compare that against conversions that were generated from social marketing, and we can see similar patterns emerge, with certain locations better represented proportionally.

These screenshots were built using the same time range throughout. When tracking specific campaigns, you can get much more granular to understand time lag.
Additionally, for marketers and business operators who want to understand the financial contribution of any channel to the bottom line, we offer Enquisite Campaign, which was designed from the ground up to report on, and provide predictive analysis of opportunities across all online marketing channels, and let online marketers, VP’s, CMO’s and CFO’s understand how the various channels interact, and combine together to contribute to revenue.
Marketing via Social networks is still in the early days, and the impact is usually difficult to understand. But a combined perspective on Search and Social will continue to become ever more important to any online marketer. We recognize that marketers are having a hard time measuring the impact of both channels, independently and together, so we’re bringing some perspective to the marketplace.
Businesses need perspective to properly invest in worthwhile initiatives. We provide insights to act.
Posted under Analytics, Enquisite Search Metrics, Market Share, Search Analytics
Surprisingly, I haven’t posted a search engine market share report in 30 days. We did post lots of other interesting data in the interim however. This week, we’re getting back to the evolving search engine landscape. Of course, not a lot overall has changed since our last look at the data.
Google continues to own almost 80% of the actual click through market share. We recognize that our numbers are different from some other reports. The core difference is our reports reflect click through activity, as opposed to general activity. As demonstrated in the post “how long is normal,” while most search lookup activity is on one word queries, click throughs occur most often on three-word searches. The same holds true for the various engines. A lot of people apparently run searches on Bing / Yahoo, but they refine their searches prior to clicking through. Hence, Google shows a much higher market share when we examine just click through activity.
As it relates to the change in activity over the last month, Bing continues to show strong forward momentum, and Yahoo continues to fade away. Sad, really. Google’s decline which started in June appears to have stabilized at a dominating ~78.4% market share. If we look at areas outside the US, Google’s share is even higher.
For convenience, this graph shows the change in Yahoo / Bing / and other non-google shares since May 2009. If you want to look at the raw data that for back you can view it on the prior blog post about search engine market shares. The data table is getting so long however that we’ll just show the last 4 months from here on out. I’m using an “all-time” chart to show the trends though.

The raw data for those who prefer the numbers:
|
Google |
Yahoo |
Bing |
Other |
| September 7 |
78.68% |
11.51% |
6.80% |
3.01% |
| September 14 |
78.35% |
11.13% |
6.50% |
4.02% |
| September 21 |
77.43% |
11.35% |
7.11% |
4.11% |
| September 28 |
77.65% |
10.80% |
7.27% |
4.28% |
| October 4 |
77.78% |
10.66% |
7.23% |
4.33% |
| October 12 |
77.78% |
10.66% |
7.21% |
4.35% |
| October 18 |
77.89% |
10.65% |
7.29% |
4.17% |
| October 25 |
77.83% |
10.56% |
7.56% |
4.05% |
| November 1 |
77.75% |
10.46% |
7.66% |
4.12% |
| November 8 |
77.96% |
10.21% |
7.75% |
4.08% |
| November 15 |
77.60% |
10.39% |
7.59% |
4.42% |
| November 22 |
77.59% |
10.41% |
7.67% |
4.37% |
| December 22 |
78.43% |
9.73% |
7.86% |
3.97% |
Enquisite collects data from a network of thousands of web sites distributed globally. The data used in this reports represents web sites distributed globally, accessed by searchers located in the U.S., and reflects click-through activity data.
Posted under Enquisite Search Metrics, Google, Market Share, Search Analytics, Search Metrics, Yahoo, bing
Since I just posted about desktop browser usage, and reported that Mac users may not be, by default, any more sophisticated than Microsoft users, I thought it might be interesting to look at mobile browser usage.
Looks like Blackberry users view the least pages per mobile browser sessions (that’s me), and surprisingly, Palm Pre users are the fastest browsers. On the whole, not a lot of difference across the browsers, which surprised me. I though that iPhone and Android users would exhibit dramatically different behavior than others.
| Mobile Browser |
Average Pages Viewed |
Average Time on Site |
| iPhone |
2.49 |
02:38 |
| Android |
2.45 |
02:51 |
| BlackBerry |
2.13 |
02:48 |
| Palm Pre |
2.78 |
02:36 |
| IE Mobile |
2.48 |
03:13 |
About the data. Enquisite works with thousands of sites worldwide and captures a trove of relevant search-related data every day. The browser shares reported here are based on data from a selection of Enquisite-tagged sites that cumulatively represent over 350 million page views/month, across most major industry sectors - a very significant sample size. The data reported solely reflects our data.
Posted under Browsers, Enquisite Search Metrics, Market Share, Search Metrics
Last week I posted some information about user behavior in relation to depth of visit. This week I’m going to share some data regarding how different browsers result in varying user behavior.
For the month of November, I decided to break down the user behavior differences behind Microsoft Internet Explorer (MSIE), Firefox, Apple’s Safari, and Google’s Chrome. At first glance one would assume that if someone visits a web site time on site and pages viewed should not be affected by browser. Yet, this is not the case. One could argue that Chrome and Firefox users are more sophisticated, as evidenced by the fact that they deleted their default browser, Safari and MSIE usage is almost identical, which should be the norm if default browsers were used, as it reflects the simplest behavior patterns. The most sophisticated users would change away from the defaults, and be faster / less patient in navigating sites.
Are Mac users really any more sophisticated than Windows users; perhaps not…?
| Browser |
Percentage of Visitors |
Average Pages Viewed |
Average Time on Site |
| MSIE |
60.38% |
4.60 |
0:04:08 |
| Firefox |
25.08% |
3.85 |
0:03:42 |
| Safari |
8.58% |
4.33 |
0:04:01 |
| Chrome |
3.42% |
3.65 |
0:03:35 |
The change in browser usage away from MSIE is truly stunning. I’m going to monitor this drop, and Chrome’s surge in case it was Holiday related. Stranger things have happened.
About the data. Enquisite works with thousands of sites worldwide and captures a trove of relevant search-related data every day. The browser shares reported here are based on data from a selection of Enquisite-tagged sites that cumulatively represent over 350 million page views/month, across most major industry sectors - a very significant sample size. The data reported solely reflects our data.
Posted under Browsers, Chrome, Enquisite Search Metrics, Google, Market Share, Search Analytics, Search Metrics, bing
Greetings from Search Engine Strategies Berlin!
This week, our weekly trend data of search engine market share as defined by click-through activity shows a Bing regaining its forward momentum, after a slight slip last week. However, looking at the last four weeks, it seems that Bing is hovering quite steadily around the 7.7% market share mark. Over the next few weeks we should be able to see if this is maintained as a normal position, or if Bing recovers its forward momentum.
It should be interesting to observe what happens this week. Each year we see a big drop in search referral traffic associated with the week of the American Thanksgiving Holiday. Will all the engines drop the same proportionate amount, or will Google’s traditional strength in the IT and student marketplace result in a larger drop in market share for the week? Next week I’ll try and put together a chart showing how search volume drops in the run-up to the Holiday, and also how it bounces back.
As always, we’re providing the data in weekly breakdowns to try and identify trends in very granular ways. This data reflects actual clickthrough activity, and not the number of queries run. Meaning if someone performs a search on Yahoo, but doesn’t click through to the results, we don’t track it. We only track searches which generated referrals.

The raw data for those who prefer the numbers, not the graphics:
|
Google |
Yahoo |
Bing |
Other |
| September 7 |
78.68% |
11.51% |
6.80% |
3.01% |
| September 14 |
78.35% |
11.13% |
6.50% |
4.02% |
| September 21 |
77.43% |
11.35% |
7.11% |
4.11% |
| September 28 |
77.65% |
10.80% |
7.27% |
4.28% |
| October 4 |
77.78% |
10.66% |
7.23% |
4.33% |
| October 12 |
77.78% |
10.66% |
7.21% |
4.35% |
| October 18 |
77.89% |
10.65% |
7.29% |
4.17% |
| October 25 |
77.83% |
10.56% |
7.56% |
4.05% |
| November 1 |
77.75% |
10.46% |
7.66% |
4.12% |
| November 8 |
77.96% |
10.21% |
7.75% |
4.08% |
| November 15 |
77.60% |
10.39% |
7.59% |
4.42% |
| November 22 |
77.59% |
10.41% |
7.67% |
4.37% |
Enquisite collects data from a network of web sites distributed globally. The data used in this reports represents web sites distributed globally, accessed by searchers located in the U.S., and reflects click-through activity data.
Posted under Enquisite Search Metrics, Google, Market Share, Search Engines, Search Metrics, Yahoo, bing