Archive for the ‘Market Share’ Category

Bing Growing, Yahoo Steady - Search Engine Market Share Update

July 28th, 2010 by Richard Zwicky


It’s been almost seven months since I last provided insight into the search engine market shares based on click through activity. After holding relatively steady for months, this latest update shows Bing has grown by 2.0%. Perhaps most interestingly, it’s no longer growing at the expense of Yahoo, which was previously the case.

Here’s the raw 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%
Month of June 2010 75.93% 9.94% 9.82% 3.83%

Eightfold Logic 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.


Mobile Market Share on the Move - Is Android Superior?

July 19th, 2010 by Richard Zwicky



It would appear that based on data which would indicate people’s habit with their mobile devices, that the Android offers a better user experience for surfing the Internet than the Google iPhone. While the Android and the iPhone’s share of the overall browser market continues to grow, it is surprising to note that despite the iPhone’s lead in activations, mobile web usage of phone browsers powered by Google’s Android appears to be picking up steam faster than Apple’s iPhone.

The last time I posted market share numbers around web browser referrals to web sites from mobile devices, the various devices had not yet even broken a combined 1% total share.  It appears that milestone’s long gone now, as shown in the chart below.  Looking at the graph, and data, there’s more going on beyond the obvious “Google’s Android web usage is exploding faster than Apple’s iPhone.”  The reality is while that fact is important, and can be attributed in part to the diversity (60)  of devices running the Android OS, versus the four devices running Apple’s iphone, the diversity of devices in stores is minor compared to the fact that there are many more Apple iPhone devices in circulation. Apple sold 1.7 million iPhone 4’s within days of release along, and has years worth activation , compared to 160,000 Android phones being activated daily.  That gap pales when comparing the mobile browser usage numbers.

A while back Steve Jobs was quoted that most iPhone activity goes via apps, versus search or traditional browser.  I found that comment interesting as it reflects a different layer of Internet activity which most of us ignore.  While this likely is true, the stunning growth rate in overall web browser usage from Androids v. iPhones reveals something else: People with Android phones use them quite differently from those who have iPhones.

While putting together these numbers, I happened to read Peter Sims’ Tech Crunch’s article “Is Google at Risk of Becoming the Next Microsoft.”  When I look at these numbers, the answer definitely becomes no.  Just the innovation is not in the same area as before.

Now, I don’t own either an Android or an iPhone.  I do have a Blackberry Bold 2, which is great for email and has good sound quality, but it lacks the quality browser experience which might entice me to surf via my phone.  If I have to look something up online using my Blackberry, it’s a last resort.  Conversely, that function is key to both the Android and iPhone.  However, it appears that despite Apple’s massive lead in total footprint based on activations, Android is making that experience much more positive, and as a consequence, Android owners are much more likely to surf using their devices.

The web sites which we are tracking, and using as a basis for the data that we are reporting are not likely to be accessed directly via apps.   Apologies for the timescale jump, for those who like the raw numbers:

iPhone Android Blackberry
July 0.448% 0.038% 0.026%
Aug 0.591% 0.045% 0.033%
Sept 0.583% 0.043% 0.041%
Oct 0.663% 0.049% 0.044%
July 2010 1.070% 0.483% 0.051%

Eightfold Logic collects data from a network of web sites distributed globally.



Bryan Eisenberg & Richard Zwicky at SES Toronto

July 13th, 2010 by Richard Zwicky

Bryan Eisenberg, who is the best-selling author of  “Waiting for Your Cat to Bark?: Persuading Customers When They Ignore Marketing” and many other books and I did a panel together recently at SES Toronto.  After the panel, he interviewed me with regards to meaningful metrics.  It was a good panel, and interview.

Perhaps the most salient point from both panel and interview is that when a business is trying to understand and evaluate key metrics in online marketing they need to look through the entire value-chain. The challenges of the changing marketplace make it very difficult for marketers to measure all channels equitably and fairly, balancing search, social media, email, newsletters, etc. Bryan highlighted the importance of cross channel metrics, which I was able to substantiate with an example of a client who was struggling to find value in PPC after having only invested in, and measured, one channel. Upon examination, the client discovered that a significant portion of the business’s social and organic search traffic was preceded by visits from the paid channel, and that these multi-touch visits were actually converting and providing measurable results at a higher rate than single visit traffic.

I hope you take the 5 minutes to listen to the interview, and feel free to send me any questions that you have as a consequence.


More on Social Reporting in Enquisite

February 10th, 2010 by Richard Zwicky

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.


Search Engine Market Share by Click Through Activity - December 2009

December 21st, 2009 by Richard Zwicky

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.


Which Mobile Browsers have the Most Sophisticated Users?

December 10th, 2009 by Richard Zwicky

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.


Browser Share Report and More…

December 10th, 2009 by Richard Zwicky

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.


Search Engine Market Share Update

November 23rd, 2009 by Richard Zwicky

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.


Mobile Browser Market Share Data

November 18th, 2009 by Richard Zwicky

As promised to lots of people last week at Pubcon, and to Mike Grehan over at SES, I’m going to start posting even more varied data.

A frequent request from and for search marketers is insight into the mobile browser market. While still tiny in relation to general web traffic when considered from the search perspective, the growing adoption of devices built with web browsing in mind make these numbers are worth watching. I suspect that as iPhones & Android devices become even more ubiquitous, these numbers will continue to grow. Most remarkably, if Blackberry built a better web interface / UI into their devices, I suspect their share would more accurately reflect their general market share for devices in use.

I’ve prepared two charts: one which includes all the mobile browsers; and one with the iPhone removed. The reason is simple - the iPhone is so dominant that it’s impossible to see market share changes for the others without excluding it. This is very much like Google’s overwhelming marketshare dominance in search.

With the iPhone’s market share displayed, it’s hard to make out any of the competitors:

Without the iPhone’s market share displayed, it’s much easier to see the trends starting to emerge:

The obvious insights that I spied immediately were:

1) Android outperforms Blackberry even thought their install base is tiny by contrast.
2) Android’s numbers will be very interesting to watch with Verizon’s big push on their devices.
3) Windows Mobile numbers are horrible! By the time MSFT catches up on search, they’ll realize that they’ve lost their dominant position for being the interface to the web! (IE, mobile etc…)
4) Look at the Palm Pre! For a phone which T-Mobile didn’t really do a great job pushing, their lead on Microsoft is astounding. (yes, I’ve asked for those numbers to be double-checked).
5) Every one of these browsers is growing strongly and steadily. It’s a great sign for the future of mobile marketing!

What are your thoughts?

The raw data for those who prefer the numbers, not the graphics:

iPhone Android Blackberry Palm Pre Win Mobile
July 31 0.448% 0.038% 0.026% 0.008% 0.005%
Aug 31 0.591% 0.045% 0.033% 0.012% 0.007%
Sept 30 0.583% 0.043% 0.041% 0.012% 0.007%
Oct 31 0.663% 0.049% 0.044% 0.016% 0.008%

Enquisite collects data from a network of web sites distributed globally. The data used in this reports represents web sites distributed globally, accessed by browsers located in the U.S.

With mobile browsing in particular, I suspect there’s a higher level of incidence than even of browsers who look up information, but never click through to any destination web site, leaving the search engine / resource of choice being the information portal.

Yes, Google is unquestionably a portal when mobile is considered.


Weekly Search Engine Market Share Report Nov 15, 2009

November 16th, 2009 by Richard Zwicky

For the first time in months, our weekly trend data of search engine market share as defined by click-through activity shows a small drop in the growth trend on the part of Bing. However, Microsoft (MSFT) has still gained almost a full point of market share over the last two months. Yahoo’s share of search referrals rose a little this week.

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%

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.