Source: http://www.stargeek.com/keyword_density.php
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Source: http://www.stargeek.com/keyword_density.php
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Source: http://www.prioritysubmit.com/research.html
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Source: http://www.feedvalidator.org
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Most people only use 1 or 2 search engines in any given month.
Vote | All�(1223)� |
---|---|
1 | 48.9%�(+3.1 / -3.1) |
2 | 26.2%�(+2.9 / -2.7) |
3 | 9.1%�(+2.2 / -1.8) |
4 | 4.7%�(+2.0 / -1.4) |
5 or more | 11.1%�(+2.3 / -2.0) |
There isn't much difference between men & women on this front.
Vote | Men�(669)� | Women�(554)� |
---|---|---|
1 | 49.4%�(+4.0 / -4.0) | 48.4%�(+4.8 / -4.8) |
2 | 25.5%�(+3.6 / -3.3) | 26.9%�(+4.6 / -4.1) |
5 or more | 10.6%�(+2.9 / -2.3) | 11.7%�(+3.8 / -3.0) |
3 | 9.7%�(+2.8 / -2.2) | 8.5%�(+3.6 / -2.6) |
4 | 4.8%�(+2.5 / -1.7) | 4.5%�(+3.6 / -2.0) |
Surprisingly, older people are more likely to use a variety of search services while younger people are more likely to stick with their one favorite. I would have guessed that to be the other way around.
Vote | 18-24 year-olds�(295)� | 25-34 year-olds�(300)� | 35-44 year-olds�(165)� | 45-54 year-olds�(204)� | 55-64 year-olds�(182)� | 65+ year-olds�(77)� |
---|---|---|---|---|---|---|
1 | 54.9%�(+5.5 / -5.7) | 57.7%�(+5.7 / -6.0) | 45.6%�(+7.7 / -7.5) | 50.4%�(+6.9 / -6.9) | 48.1%�(+7.3 / -7.3) | 35.8%�(+11.5 / -10.1) |
2 | 23.0%�(+5.1 / -4.4) | 23.0%�(+5.4 / -4.6) | 23.1%�(+7.1 / -5.8) | 22.5%�(+6.3 / -5.3) | 29.2%�(+7.1 / -6.2) | 36.8%�(+11.3 / -10.1) |
3 | 5.8%�(+3.3 / -2.1) | 5.5%�(+3.4 / -2.2) | 13.7%�(+6.0 / -4.4) | 10.5%�(+5.0 / -3.5) | 11.5%�(+5.5 / -3.9) | 7.0%�(+8.0 / -3.9) |
4 | 6.8%�(+3.5 / -2.4) | 4.7%�(+3.3 / -2.0) | 4.2%�(+4.7 / -2.3) | 4.9%�(+4.3 / -2.3) | 2.1%�(+3.8 / -1.4) | 5.4%�(+9.1 / -3.5) |
5 or more | 9.6% (+3.9 / -2.8) | 9.1% (+3.9 / -2.8) | 13.4% (+6.2 / -4.4) | 11.7% (+5.3 / -3.8) | 9.0% (+5.2 / -3.4) | 15.0% (+9.7 / -6.3) |
Here is the geographic breakdown.
Vote | The US Midwest�(260)� | The US Northeast�(320)� | The US South�(374)� | The US West�(269)� |
---|---|---|---|---|
1 | 53.6%�(+6.5 / -6.6) | 45.1%�(+6.1 / -6.0) | 47.0%�(+5.8 / -5.7) | 50.4%�(+6.4 / -6.4) |
2 | 22.7%�(+6.2 / -5.2) | 27.1%�(+5.7 / -5.1) | 26.8%�(+5.5 / -4.8) | 27.9%�(+6.1 / -5.4) |
3 | 8.7%�(+4.9 / -3.2) | 11.4%�(+4.8 / -3.5) | 8.6%�(+4.4 / -3.0) | 8.2%�(+4.8 / -3.1) |
4 | 3.5%�(+5.2 / -2.1) | 5.3%�(+4.3 / -2.4) | 5.7%�(+4.1 / -2.5) | 3.8%�(+5.4 / -2.3) |
5 or more | 11.5%�(+5.5 / -3.9) | 11.1%�(+4.7 / -3.5) | 11.9%�(+4.5 / -3.4) | 9.7%�(+5.2 / -3.5) |
Here are stats by population density.
Vote | Urban areas�(608)� | Rural areas�(107)� | Suburban areas�(499)� |
---|---|---|---|
1 | 48.1%�(+4.5 / -4.5) | 50.2%�(+9.8 / -9.8) | 47.2%�(+4.7 / -4.7) |
2 | 26.4%�(+4.1 / -3.8) | 21.2%�(+10.6 / -7.8) | 27.8%�(+4.5 / -4.1) |
3 | 9.1%�(+3.6 / -2.7) | 14.2%�(+10.7 / -6.6) | 9.6%�(+4.0 / -2.9) |
4 | 5.3%�(+4.0 / -2.3) | 6.5%�(+12.0 / -4.4) | 3.8%�(+4.4 / -2.1) |
5 or more | 11.0%�(+3.8 / -2.9) | 7.9%�(+11.4 / -4.9) | 11.6%�(+4.2 / -3.2) |
Here is data by income groups. No obvious pattern here either.
Vote | People earning $0-24K�(132)� | People earning $25-49K�(673)� | People earning $50-74K�(326)� | People earning $75-99K�(70)� | People earning $100-149K�(27)� |
---|---|---|---|---|---|
1 | 45.0%�(+8.9 / -8.6) | 47.7%�(+4.2 / -4.2) | 50.2%�(+6.1 / -6.1) | 42.1%�(+12.3 / -11.4) | 48.3%�(+17.9 / -17.5) |
2 | 29.1%�(+9.0 / -7.6) | 26.3%�(+3.8 / -3.5) | 23.1%�(+6.2 / -5.3) | 35.2%�(+12.2 / -10.5) | 37.4%�(+18.8 / -15.6) |
3 | 8.7%�(+9.1 / -4.7) | 8.6%�(+3.2 / -2.4) | 11.6%�(+5.8 / -4.0) | 9.7%�(+11.7 / -5.6) | 0.0%�(+12.5 / -0.0) |
4 | 6.1%�(+9.5 / -3.9) | 5.2%�(+3.2 / -2.0) | 4.3%�(+6.3 / -2.6) | 2.6%�(+17.0 / -2.3) | 3.4%�(+22.2 / -3.0) |
5 or more | 11.0%�(+8.9 / -5.2) | 12.1%�(+3.3 / -2.7) | 10.9%�(+5.8 / -3.9) | 10.4%�(+11.9 / -5.9) | 10.9%�(+16.7 / -7.1) |
Source: http://www.seobook.com/how-many-search-engines
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Source: http://www.apogee-web-consulting.com/tools/keyword_tool.php
Source: http://www.prsearch.biz/
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Source: http://www.wordstream.com/keywords/
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Source: http://inventory.overture.com/d/searchinventory/suggestion/
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Before I get any drops of jupiter hate on the following...I was typing in training.seobook.com & somehow accidentally hit enter after typing train & when the URL completion didn't work I got the following SERP.
If you click the feature video link it does a YouTube video overlay. The other links lead into the relevant iTunes webpage.
Such media extensions have been in place for movies for quite a while now, but this is the first time I have seen them on music-related search results. In time one could expect similar ad expansions to hit other media areas like books, games, and maybe even other vertical search features. Google could possibly roll it out globally on brand searches as well at some point, allowing companies to offer intro videos (or even reviews of new product lines) directly in the search results.
Source: http://www.seobook.com/musical-adwords
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Before I get any drops of jupiter hate on the following...I was typing in training.seobook.com & somehow accidentally hit enter after typing train & when the URL completion didn't work I got the following SERP.
If you click the feature video link it does a YouTube video overlay. The other links lead into the relevant iTunes webpage.
Such media extensions have been in place for movies for quite a while now, but this is the first time I have seen them on music-related search results. In time one could expect similar ad expansions to hit other media areas like books, games, and maybe even other vertical search features. Google could possibly roll it out globally on brand searches as well at some point, allowing companies to offer intro videos (or even reviews of new product lines) directly in the search results.
Source: http://www.seobook.com/musical-adwords
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Most people use the search engine which they believe has the best relevancy, whatever their computer came with, or what a friend recommended.
Vote | All�(1190)� |
---|---|
it has superior relevancy | 30.4%�(+3.0 / -2.9) |
the computer had a default selected | 26.8%�(+2.9 / -2.7) |
a friend told me about it | 23.1%�(+2.9 / -2.7) |
I saw it on a TV ad | 10.3%�(+2.3 / -1.9) |
it came bundled with software | 9.5%�(+2.3 / -1.9) |
Men are more inclined to believe in superior relevancy, whereas women are more likely to use the default or what a friend recommends
Vote | Men�(621)� | Women�(569)� |
---|---|---|
it has superior relevancy | 35.4%�(+4.2 / -3.9) | 25.5%�(+4.4 / -4.0) |
the computer had a default selected | 21.8%�(+3.7 / -3.3) | 31.5%�(+4.6 / -4.3) |
a friend told me about it | 21.3%�(+3.7 / -3.3) | 24.8%�(+4.5 / -4.0) |
I saw it on a TV ad | 11.9%�(+3.1 / -2.5) | 8.8%�(+3.5 / -2.6) |
it came bundled with software | 9.7%�(+2.9 / -2.3) | 9.3%�(+3.8 / -2.8) |
The youngest age group is easiest to influence with advertising or buying the default placement. 25 to 34 is more concerned about relevancy & older people are more likely to have it bundled with software than younger people are.
Vote | 18-24 year-olds�(289)� | 25-34 year-olds�(309)� | 35-44 year-olds�(151)� | 45-54 year-olds�(186)� | 55-64 year-olds�(167)� | 65+ year-olds�(88)� |
---|---|---|---|---|---|---|
it has superior relevancy | 30.1%�(+5.5 / -5.0) | 36.9%�(+5.9 / -5.5) | 32.4%�(+7.8 / -6.9) | 28.2%�(+7.0 / -6.1) | 27.6%�(+7.7 / -6.6) | 28.0%�(+10.8 / -8.7) |
the computer had a default selected | 29.0%�(+5.5 / -4.9) | 23.8%�(+5.4 / -4.7) | 27.6%�(+7.6 / -6.5) | 24.2%�(+6.8 / -5.7) | 26.0%�(+7.6 / -6.4) | 26.1%�(+11.3 / -8.8) |
a friend told me about it | 20.7%�(+5.0 / -4.3) | 21.1%�(+5.5 / -4.6) | 23.8%�(+7.7 / -6.3) | 24.8%�(+7.0 / -5.9) | 25.0%�(+7.4 / -6.2) | 24.6%�(+11.4 / -8.7) |
I saw it on a TV ad | 14.2%�(+4.5 / -3.6) | 10.8%�(+4.2 / -3.1) | 10.5%�(+6.0 / -4.0) | 12.8%�(+5.7 / -4.1) | 8.3%�(+5.5 / -3.4) | 3.1%�(+10.7 / -2.5) |
it came bundled with software | 6.0%�(+3.4 / -2.2) | 7.5%�(+3.9 / -2.6) | 5.8%�(+5.4 / -2.9) | 10.0%�(+5.3 / -3.6) | 13.1%�(+5.8 / -4.2) | 18.2%�(+10.6 / -7.3) |
People out west tend to be more concerned with / driven by perceived relevancy. People in the midwest rely more on word of mouth. People in the south and north east are more likely to use the default.
Vote | The US Midwest�(236)� | The US Northeast�(317)� | The US South�(369)� | The US West�(268)� |
---|---|---|---|---|
it has superior relevancy | 24.4%�(+6.8 / -5.7) | 29.8%�(+5.9 / -5.3) | 29.6%�(+5.3 / -4.8) | 37.2%�(+6.6 / -6.2) |
the computer had a default selected | 27.3%�(+6.7 / -5.8) | 29.3%�(+6.0 / -5.3) | 29.8%�(+5.5 / -5.0) | 19.8%�(+5.6 / -4.7) |
a friend told me about it | 25.6%�(+6.9 / -5.9) | 18.4%�(+5.4 / -4.4) | 22.6%�(+5.3 / -4.5) | 25.0%�(+6.1 / -5.3) |
I saw it on a TV ad | 11.5%�(+5.8 / -4.0) | 12.6%�(+4.6 / -3.5) | 9.8%�(+4.4 / -3.1) | 8.2%�(+4.6 / -3.0) |
it came bundled with software | 11.2%�(+6.1 / -4.1) | 9.9%�(+4.5 / -3.2) | 8.1%�(+4.3 / -2.9) | 9.7%�(+5.1 / -3.5) |
Here is data by population density.
Vote | Urban areas�(612)� | Rural areas�(107)� | Suburban areas�(445)� |
---|---|---|---|
it has superior relevancy | 29.9%�(+4.2 / -3.9) | 27.8%�(+9.9 / -8.1) | 30.4%�(+5.3 / -4.8) |
the computer had a default selected | 27.2%�(+4.4 / -4.0) | 27.7%�(+9.5 / -7.9) | 26.5%�(+5.1 / -4.5) |
a friend told me about it | 23.1%�(+4.3 / -3.8) | 25.1%�(+9.6 / -7.6) | 23.2%�(+4.8 / -4.2) |
I saw it on a TV ad | 10.4%�(+3.8 / -2.9) | 8.7%�(+8.6 / -4.5) | 10.5%�(+4.6 / -3.3) |
it came bundled with software | 9.4%�(+4.0 / -2.9) | 10.6%�(+8.8 / -5.1) | 9.3%�(+4.5 / -3.1) |
There doesn't appear to be any obvious correlations with age.
Vote | People earning $0-24K�(133)� | People earning $25-49K�(658)� | People earning $50-74K�(315)� | People earning $75-99K�(68)� | People earning $100-149K�(18)� |
---|---|---|---|---|---|
it has superior relevancy | 32.8%�(+9.1 / -7.9) | 29.8%�(+4.2 / -3.9) | 30.9%�(+6.5 / -5.8) | 27.7%�(+11.9 / -9.4) | 32.6%�(+21.2 / -15.9) |
the computer had a default selected | 21.7%�(+8.6 / -6.7) | 29.0%�(+4.3 / -4.0) | 22.1%�(+6.0 / -5.0) | 30.7%�(+12.4 / -10.1) | 20.9%�(+22.5 / -12.6) |
a friend told me about it | 23.5%�(+9.0 / -7.1) | 24.5%�(+4.1 / -3.7) | 20.1%�(+6.0 / -4.9) | 17.2%�(+12.0 / -7.7) | 13.9%�(+23.4 / -9.7) |
I saw it on a TV ad | 11.8%�(+7.3 / -4.7) | 8.4%�(+3.5 / -2.5) | 15.6%�(+6.0 / -4.5) | 4.2%�(+13.7 / -3.3) | 25.6%�(+22.1 / -14.1) |
it came bundled with software | 10.2%�(+7.7 / -4.6) | 8.3%�(+3.3 / -2.4) | 11.4%�(+5.5 / -3.9) | 20.2%�(+12.2 / -8.4) | 7.0%�(+27.3 / -5.9) |
Source: http://www.seobook.com/how-did-you-choose-your-primary-search-engine
Source: http://www.yahoogooglemsn.com
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Source: http://www.trafficmystic.com/239/time-to-get-super-serious-about-lifeless-landing-pages/
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Google recently launched their webspam Penguin update. While they claim it only impacted about 3.1% of search queries, the 3.1% it impacted were largely in the "commercial transactional keywords worth a lot of money" category.
Based on the number of complaints online about it (there is even a petition!) this is likely every bit as large as Panda or the Florida update. A friend also mentioned that shortly after the update WickedFire & TrafficPlanet both had sluggish servers, yet another indication of the impact of the update.
Originally leading up to the update, the update was sold as being about over-optimization. However when it was launched it was given no pet name, but rather given the name of the webspam update. Thus anyone who complained about the update was by definition a spammer.
A day after declaring that the name didn't have any name Google changed positions and called the update the Penguin update.
Why the quick turn around on the naming?
If you smoke a bunch of webmasters & then label them all as spammers, of course they are going to express outrage and look for the edge cases that make you look bad & promote those. One of the first ones out of the gate on that front was a literally blank blogspot blog that was ranking #1 for make money online.
As I joked with Eli, if it is blank then they couldn't have done anything wrong, right? :D
Another site that got nailed by the update was Viagra.com. It has since been fixed, but it is pretty hard for Google to state that the sites that got hit are spam, blend the search ads into the results so much that users can't tell them apart & force Pfizer to buy their own brand to rank. If that condition didn't get fixed quickly I am pretty certain it would lead to lawsuits.
Google also put out a form to collect feedback about the update. They only ever do that if they know they went too far and need to refine it. Or, put another way, if this was the Penguin update then this is GoogleBot:
When I was a kid I used to collect baseball cards. As the price of pictures from sites like iStockphoto have gone up I recently bought a few cards on eBay (in part for nostalgia & in part to have pictures for some of our blog posts). Yesterday I searched for baseball card holders for mini-cards & in the first page of search results was:
That blank Yahoo! Shopping page is also what showed up in Google's cache too. So I am not claiming that they were spamming Google in any way, rather that Google just has bad algorithms when they rank literally blank pages simply because they are on an authoritative domain name.
The SERPs lacked expert blogs, forum discussions, & niche retailers. In short, too much emphasis on domain authority yet again.
Part of the idea of the web was that it could connect supply and demand directly, but an excessive focus on domain authority leads users to have to go through another set of arbitragers. Efforts to squeeze out micro-parasites has led to the creation of macro-parasites (and micro-parasites that ride on the macro-parasite platforms).
Now more than ever SEO requires threading the needle: being sufficiently aggressive to see results, but not so aggressive that you get clipped for it (and hopefully building enough protection that makes it harder for others to clip you). That requires a tighter integration of the end to end process (tying efforts into analytics & analytics back into efforts) & a willing to view SEO through a broader marketing lens & throwing up a number of hail marry passes that likely won't on their own back out but will give you a lower risk profile when combined with your other stuff.
And your business model is probably far more important than your SEO skill level is. Imagine running a consulting company for a lot of small business customers for a few hundred Dollars a month each, based on stable rankings & then dealing with a tumultuous update that hits a number of them at the same time. And then they see an older (abandoned even) competing site of lower quality with fewer links ranking and they think you are selling them a bag of smoke. These sorts of updates harm the ability to do SEO consulting for anyone who isn't consulting the big brands. Yes many people made it through this update unscathed, but how many of these sorts of updates can one manage to slide through before eventually getting clipped?
As search evolves, invariably anyone who is doing well in the ecosystem will at some point face setbacks. Those may happen due to an algorithm update or an interface change where Google inserts itself in your market. If you never get hit, it means you were only operating at a fraction of your potential. If you consistently get hit, you might be aiming too low. Many trends can be predicted, but the future is unknowable, so set up a safety cushion when things are going well.
This year Google has moved faster than any year in their history (massive link warnings, massive link penalties, tighter integration of Panda & now Penguin) & the rate of change is only accelerating. Go back about 125 years and a candle wick adjuster was cutting edge technology marketed as brand spanking new:
Blekko has a decently competitive search service which they manage to run for only a few million a year. As computers get cheaper & Google collects more data think of all the different data points they will be able to layer into their relevancy algorithms. In some markets Chrome has more marketshare than Internet Explorer does & Android is another deep data source. And they can know what user data to trust most by tracking things like if they have a credit card or phone verified on file & how often they use various services like Gmail or YouTube. Google+ is just icing on the cake.
At the same time, they need to improve. As the search algorithms get better, so do the business models that exploit them:
I asked Kristian Hammond what percentage of news would be written by computers in 15 years. ?More than 90 percent.?
There will be many more casualties in that war.
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Is outing & writing polarizing drivel hate baiting or a service to the community?
It is all a matter of perspective, isn't it?
Some people would like to claim that it is one thing when they do it & something else when somebody else does it.
Unfortunately for those who want to have their cake & eat it too, consistency matters.
Even these guys know that.
If you brand those who fall outside the guidelines or get hit by updates as scammers to be avoided, then when your company gets caught working an angle & "scamming" (based on your own past sermons) your own judgement gets cast against yourself.
Is that fair?
In a word: yes.
Any belief system that is imposed onto others, but unacceptable when imposed upon the person who states it, isn't a belief system at all. It's duplicitous hackery at best - possibly much worse.
If your own company doesn't follow your own advice, then what does that say about your value systems? How many people have had their potential held back by listening to your misinformation & making the unfortunate mistake of trusting you? What does that sort of behavior do to the reputation of the industry? Now everyone else is suspect because you pitched bogus pablum at newbies.
To speak publicly about the pitfalls of doing "blackhat" techniques and then turn around and be caught red-handed for the same just gives credibility to the naysayers claiming our industry is filled with slime balls.
If you want to be a polarizing asshat, then don't be surprised when you eat your own cooking. To expect anything less is an open expression of ignorance of the field of inbound marketing marketing.
Source: http://www.seobook.com/educating-market
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People tend to trust friends & family and the mainstream media far more than they trust websites & search engines.
Vote | All�(1204)� |
---|---|
friends & family | 37.1%�(+3.0 / -2.9) |
newspapers | 32.5%�(+3.0 / -2.8) |
search engines | 19.3%�(+2.6 / -2.4) |
social media websites | 6.7%�(+2.0 / -1.6) |
weblogs | 4.4%�(+1.9 / -1.3) |
Relative to one another, men tend to trust newspapers, search engines & weblogs more; whereas women tend to trust friends & family and social media websites more.
Vote | Men�(643)� | Women�(561)� |
---|---|---|
friends & family | 34.7%�(+4.0 / -3.8) | 39.4%�(+4.6 / -4.4) |
newspapers | 34.1%�(+4.0 / -3.8) | 31.0%�(+4.4 / -4.1) |
search engines | 20.1%�(+3.5 / -3.1) | 18.6%�(+3.9 / -3.4) |
social media websites | 5.7%�(+2.5 / -1.8) | 7.6%�(+3.3 / -2.3) |
weblogs | 5.5%�(+2.5 / -1.8) | 3.4%�(+3.3 / -1.7) |
The youngest age group tends to trust social media a bit more & newspapers a bit less than other age groups do. Outside of that, it is somewhat hard to see other age-based patterns.
Vote | 18-24 year-olds�(278)� | 25-34 year-olds�(307)� | 35-44 year-olds�(158)� | 45-54 year-olds�(191)� | 55-64 year-olds�(166)� | 65+ year-olds�(104)� |
---|---|---|---|---|---|---|
friends & family | 39.8%�(+5.8 / -5.5) | 34.2%�(+5.8 / -5.4) | 38.9%�(+7.8 / -7.2) | 34.0%�(+6.9 / -6.3) | 36.3%�(+7.6 / -6.9) | 37.2%�(+9.8 / -8.8) |
newspapers | 26.2%�(+5.5 / -4.8) | 35.8%�(+5.9 / -5.5) | 33.9%�(+7.7 / -6.9) | 31.7%�(+6.8 / -6.1) | 33.1%�(+7.6 / -6.8) | 34.6%�(+10.0 / -8.8) |
search engines | 19.7%�(+5.1 / -4.2) | 16.8%�(+4.9 / -4.0) | 17.7%�(+6.7 / -5.2) | 23.5%�(+6.5 / -5.5) | 21.8%�(+7.1 / -5.7) | 17.7%�(+8.5 / -6.2) |
social media websites | 11.0%�(+4.2 / -3.1) | 6.8%�(+3.6 / -2.4) | 3.6%�(+5.1 / -2.1) | 7.4%�(+4.6 / -2.9) | 4.3%�(+4.5 / -2.3) | 6.6%�(+8.0 / -3.8) |
weblogs | 3.3%�(+2.8 / -1.5) | 6.4%�(+3.5 / -2.3) | 6.0%�(+5.1 / -2.9) | 3.4%�(+4.1 / -1.9) | 4.4%�(+5.3 / -2.5) | 3.9%�(+7.4 / -2.6) |
Here is data by geographic region.
Vote | The US Midwest�(252)� | The US Northeast�(311)� | The US South�(372)� | The US West�(269)� |
---|---|---|---|---|
friends & family | 40.2%�(+6.9 / -6.6) | 39.0%�(+6.2 / -5.9) | 34.9%�(+5.3 / -5.0) | 36.1%�(+6.2 / -5.8) |
newspapers | 30.4%�(+6.8 / -6.1) | 36.0%�(+6.1 / -5.7) | 33.7%�(+5.2 / -4.9) | 29.9%�(+6.1 / -5.5) |
search engines | 21.5%�(+6.4 / -5.3) | 15.7%�(+5.2 / -4.1) | 18.7%�(+4.6 / -3.9) | 21.2%�(+5.5 / -4.6) |
social media websites | 6.7%�(+5.1 / -3.0) | 5.2%�(+4.3 / -2.4) | 6.6%�(+3.8 / -2.5) | 7.9%�(+4.5 / -3.0) |
weblogs | 1.3%�(+9.5 / -1.1) | 4.1%�(+4.3 / -2.1) | 6.2%�(+3.6 / -2.3) | 4.8%�(+4.3 / -2.3) |
Rural people tend to trust friends & family more, while urban people tend to trust newspapers more.
Vote | Urban areas�(602)� | Rural areas�(91)� | Suburban areas�(480)� |
---|---|---|---|
friends & family | 30.9%�(+4.4 / -4.0) | 45.8%�(+11.3 / -10.9) | 38.7%�(+4.9 / -4.7) |
newspapers | 38.5%�(+4.7 / -4.5) | 25.4%�(+11.3 / -8.7) | 30.0%�(+4.5 / -4.2) |
search engines | 18.4%�(+4.2 / -3.6) | 20.2%�(+10.4 / -7.5) | 20.2%�(+4.3 / -3.7) |
social media websites | 8.5%�(+4.1 / -2.8) | 2.3%�(+14.6 / -2.1) | 6.2%�(+4.3 / -2.6) |
weblogs | 3.7%�(+4.2 / -2.0) | 6.3%�(+11.2 / -4.2) | 4.8%�(+4.3 / -2.3) |
The richer you are, the less you generally trust friends & family. The rich also trust newspapers & blogs more (though the blog data point had a small sample size).
Vote | People earning $0-24K�(138)� | People earning $25-49K�(655)� | People earning $50-74K�(307)� | People earning $75-99K�(81)� | People earning $100-149K�(25)� |
---|---|---|---|---|---|
friends & family | 40.6%�(+8.7 / -8.2) | 38.2%�(+4.1 / -4.0) | 33.9%�(+6.3 / -5.8) | 36.6%�(+11.1 / -9.8) | 14.4%�(+19.1 / -9.1) |
newspapers | 25.6%�(+9.1 / -7.4) | 30.6%�(+4.0 / -3.7) | 37.0%�(+6.4 / -6.0) | 42.2%�(+10.6 / -10.0) | 42.2%�(+20.3 / -18.0) |
search engines | 22.8%�(+9.1 / -7.1) | 20.6%�(+3.7 / -3.3) | 17.4%�(+5.7 / -4.5) | 13.4%�(+10.9 / -6.4) | 22.0%�(+21.5 / -12.7) |
social media websites | 7.2%�(+9.2 / -4.2) | 7.0%�(+3.2 / -2.3) | 5.4%�(+5.6 / -2.8) | 5.2%�(+13.2 / -3.9) | 5.8%�(+23.7 / -4.9) |
weblogs | 3.8%�(+11.0 / -2.9) | 3.6%�(+3.5 / -1.8) | 6.3%�(+5.4 / -3.0) | 2.6%�(+18.2 / -2.3) | 15.6%�(+21.7 / -10.2) |
Source: http://www.seobook.com/which-source-do-you-trust-most
Source: http://www.seobench.com/keyword-density-analyzer/
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For the following study, we asked "Does this search result have ads on it? " to 1,000 searchers, per search results. Due to these surveys requiring a smaller image (to fit the ad unit size) we chose search results that generally had more ads on them (typically 3 or 4) so that the background had a significant portion of real estate devoted to ads, in spite of its small size. The one exception here was DuckDuckGo, as it only displays one ad at most even on highly commercial keywords like credit cards.
Other than resizing the search result to fit, the only modifications we generally made were removing the graphic picture from the Wikipedia page near the top of the DuckDuckGo SERP (since a prior study showed that users presumed there was a correlation between graphics and the perception of ads) and that in most cases we removed the right sidebar. We did include the sidebar ads on 3 different Bing, Google, & Yahoo! search results so that we could compare the impact of sidebar ads vs not having a sidebar.
The 3 big takeaways are:
For the question Does this search results have ads on it?
search engine | yes | no |
---|---|---|
AOL | 53.1%�(+3.9 / -3.9) | 46.9%�(+3.9 / -3.9) |
Ask | 52.0%�(+4.0 / -4.1) | 48.0%�(+4.1 / -4.0) |
Ask Arbitrage | 51.6%�(+3.9 / -3.9) | 48.4%�(+3.9 / -3.9) |
Bing | 50.2%�(+3.8 / -3.8) | 49.8%�(+3.8 / -3.8) |
Bing w Sidebar | 57.7%�(+3.7 / -3.8) | 42.3%�(+3.8 / -3.7) |
Dogpile | 44.7%�(+4.1 / -4.0) | 55.3%�(+4.0 / -4.1) |
Duck Duck Go | 52.3%�(+3.9 / -3.9) | 47.7%�(+3.9 / -3.9) |
54.5%�(+4.0 / -4.0) | 45.5%�(+4.0 / -4.0) | |
Google w Sidebar | 62.9%�(+3.6 / -3.8) | 37.1%�(+3.8 / -3.6) |
Yahoo! | 56.8%�(+3.9 / -4.0) | 43.2%�(+4.0 / -3.9) |
Yahoo! w Sidebar | 59.8%�(+3.9 / -4.1) | 40.2%�(+4.1 / -3.9) |
User Voting Images
Here are the images users saw when they voted:
Prior to doing the above study, we asked users to please click on the search result which has an ad in it, listing search results side by side. Any bias presented in this (outside of both having smaller than actual sizes) impacts both images. At first we did a regular Google SERP where we included the branding & then we followed up with one that is more zoomed in on the actual search results but does not include branding. On the one that was less zoomed in people thought the map was an ad more often, but upon further zooming they thought it was roughly 50/50.
SERP | All�(1172)� |
---|---|
�Left | 53.7%�(+3.3 / -3.4) |
�Right | 46.3%�(+3.4 / -3.3) |
SERP | All�(1198)� |
---|---|
�Left | 49.6%�(+3.4 / -3.4) |
�Right | 50.4%�(+3.4 / -3.4) |
Does this search result have ads on it?
layout | yes | no |
---|---|---|
Google+ without ads | 56.3% (+3.1 / -3.1) | 43.7% (+3.1 / -3.1) |
Google+ with ads | 56.9% (+3.2 / -3.2) | 43.1% (+3.2 / -3.2) |
large top ads w/o Google+ | 53.6% (+3.2 / -3.2) | 46.4% (+3.2 / -3.2) |
Searchers tend to think that Google+ integration in the right rail is an ad unit. More people voted that Google+ without ads had ads in the search results than a SERP with 4 AdWords ad units and no Google+ integration.
After seeing that users generally guessed no better than a coin toss at best in most cases, we decided to ask What background color do Google search results use to denote top left search advertisements? The same question was asked of Yahoo! & Bing search results.
GoogleAll�(1147)� | |
---|---|
none, they are white | 49.7%�(+3.2 / -3.2) |
blue | 25.5%�(+3.0 / -2.8) |
yellow | 10.6%�(+2.3 / -2.0) |
pink | 7.0%�(+2.1 / -1.6) |
purple | 7.2%�(+2.2 / -1.7) |
Yahoo! | All�(1080)� |
---|---|
none, they are white | 44.6%�(+3.4 / -3.4) |
blue | 20.9%�(+3.0 / -2.7) |
yellow | 15.6%�(+2.7 / -2.4) |
magenta | 11.2%�(+2.5 / -2.1) |
orange | 7.7%�(+2.3 / -1.8) |
Bing | All�(1063)� |
---|---|
none, they are white | 49.0%�(+3.6 / -3.6) |
blue | 23.5%�(+3.2 / -3.0) |
yellow | 13.0%�(+2.8 / -2.4) |
purple | 7.5%�(+2.4 / -1.9) |
pink | 7.1%�(+2.4 / -1.8) |
Bing scored highest, however blue also scored as the 2nd highest color for all 3 search engines. Nearly half of searchers believe that top ads have a white background, which highlights a general widespread lack of awareness of search ads.
Search Engine | % Who Answered Correctly |
---|---|
Bing (blue) | 23.5% |
Yahoo! (magenta) | 11.2% |
Google (yellow) | 10.6% |
Given how little awareness users have of ad background color, I decided to ask: Where might ads appear on search results at top search engines like Bing & Google?
Vote | All�(1144)� |
---|---|
right column | 34.2%�(+3.4 / -3.3) |
all 3 locations | 29.6%�(+3.2 / -3.0) |
search results do not carry ads | 19.4%�(+3.0 / -2.7) |
top of the left column | 9.2%�(+2.5 / -2.0) |
bottom of the left column | 7.6%�(+2.4 / -1.9) |
Less than 3 in 10 answered the question correctly & nearly 20% of people do not think search results carry any ads, which explains how an algorithmic penalty can create a bad quarter, why Google was sued in Australia for misleading ads & why the Rosetta Stone vs Google case was overturned. Next time you hear a search engineer talk about clearly labeling paid links, ask them why they do such a poor job of it themselves!
Ever since search engines have weeded out some of the more exploitative reverse billing fraud ads, trust in online ads has been growing. Based on the above, we wanted to see how users perceive ads vs organic search results, so I asked: Search engines include both algorithmic search results and ads in them. Which do you trust more?
Answer | All�(1168)� |
---|---|
I trust both equally | 45.8%�(+3.3 / -3.2) |
Algorithmic search results | 40.9%�(+3.2 / -3.1) |
Ads that appear in search results | 13.3%�(+2.5 / -2.2) |
The above result surprised me given how people disliked money influencing search results. It is a strong compliment to the ads that only 40% of people trust the editorial more than the ads. However this number might be thrown off by the fact that many people are unaware of where the ads actually appear in the search results & what results are ads. (As noted above, most people voted that they thought that either search ads were only in the right column or that there weren't ads in the SERPs.)
One of the bigger issues with Google's current survey solution is that you are limited to rather small sized images. Such limitations do not harm asking a question like "what color does Google use for x" but they do make the search result a bit harder to see. To compensate for that problem we ran a separate survey on AYTM, where users were able to view a search result in full screen mode for 10 seconds & then they were asked 3 questions.
The purpose of the first question was to put a few seconds in between them seeing the image and them answering the second question. One other improvement that was made here (in addition to allowing users to see a larger sized search result image) was that we added an "I am not sure" answer to the questions. Below are the responses in table + graphic form, followed by the AYTM widget.
Location | Vote |
---|---|
in the right column | 28.70% |
top of the left column | 6.20% |
bottom of the left column | 1.90% |
middle of the left column | 2.30% |
search results do not have ads in them | 6.80% |
I am not sure | 18.90% |
right column & the top + bottom of the left column | 35.20% |
Answer | Vote |
---|---|
I'm not sure | 41.00% |
no | 12.40% |
yes | 46.60% |
Answer | Vote |
---|---|
none, they are white | 28.10% |
blue | 20.80% |
purple | 1% |
I'm not sure | 22.60% |
pink | 6.80% |
yellow | 20.70% |
Even directly after viewing a search result with 3 ads in it, most users are uncertain of where ads may appear, what color the ads are, and if the search result even had any ads in it!
Users confusing the yellow background as white shortly after seeing it is anything but an accident:
In a RGB color space, hex #fef7e6 is composed of 99.6% red, 96.9% green and 90.2% blue. Whereas in a CMYK color space, it is composed of 0% cyan, 2.8% magenta, 9.4% yellow and 0.4% black. It has a hue angle of 42.5 degrees, a saturation of 92.3% and a lightness of 94.9%. #fef7e6 color hex could be obtained by blending #ffffff with #fdefcd..
If you have an older monitor or a laptop which you are viewing at an angle these colors are nearly impossible to see.
Here is the AYTM widget of the above 1,000 person survey, which you can embed in your website.
Embed Code:
Source: http://www.seobook.com/consumer-ad-awareness-search-results
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Source: http://www.prsearch.net/inbx.php
Source: http://www.googlerankings.com
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Source: http://www.google.com/tools/firefox/toolbar/FT3/intl/en/
Source: http://www.seochat.com/seo-tools/keyword-density/
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