How Did You Choose Your Primary Search Engine?

Apr 15th

Consumer Search Insights.

When you search, how did you pick your primary search engine?

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)

How Many Search Engines?

Apr 15th

Consumer Search Insights.

How many search engines do you typically use in a given month?

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)

Search Again or Click On the Second Page of Search Results?

Apr 15th

Consumer Search Insights.

If you use a search engine but don't find what you are looking for, which are you more likely to do?

People are more likely to search again with a new keyword than they are to click onto the second page of search results.

Vote All (1189) 
search again with a different word 55.7% (+3.2 / -3.3)
go to the second page of the results 44.3% (+3.3 / -3.2)

The split is fairly consistent among men and women.

Vote Men (651)  Women (538) 
search again with a different word 55.4% (+4.0 / -4.1) 56.1% (+5.0 / -5.1)
go to the second page of the results 44.6% (+4.1 / -4.0) 43.9% (+5.1 / -5.0)

There isn't an obvious pattern among age either.

Vote 18-24 year-olds (284)  25-34 year-olds (309)  35-44 year-olds (144)  45-54 year-olds (195)  55-64 year-olds (150)  65+ year-olds (107) 
search again with a different word 52.1% (+5.7 / -5.8) 56.7% (+5.7 / -5.9) 51.7% (+8.0 / -8.1) 57.5% (+6.7 / -7.0) 61.4% (+7.7 / -8.4) 54.2% (+9.4 / -9.8)
go to the second page of the results 47.9% (+5.8 / -5.7) 43.3% (+5.9 / -5.7) 48.3% (+8.1 / -8.0) 42.5% (+7.0 / -6.7) 38.6% (+8.4 / -7.7) 45.8% (+9.8 / -9.4)

People in the west & midwest are more likely to change keywords, whereas people in the north east & south are roughly equally likely to change keywords or go to page 2 of the search results.

Vote The US Midwest (244)  The US Northeast (320)  The US South (363)  The US West (262) 
search again with a different word 58.6% (+6.6 / -6.9) 52.2% (+6.3 / -6.4) 51.7% (+6.0 / -6.1) 61.8% (+6.2 / -6.6)
go to the second page of the results 41.4% (+6.9 / -6.6) 47.8% (+6.4 / -6.3) 48.3% (+6.1 / -6.0) 38.2% (+6.6 / -6.2)

Suburban people are more likely to change keywords than to click on to page 2.

Vote Urban areas (590)  Rural areas (109)  Suburban areas (468) 
search again with a different word 51.8% (+4.6 / -4.6) 48.0% (+9.3 / -9.1) 61.1% (+4.8 / -5.0)
go to the second page of the results 48.2% (+4.6 / -4.6) 52.0% (+9.1 / -9.3) 38.9% (+5.0 / -4.8)

There isn't much of an income correlation either.

Vote People earning $0-24K (123)  People earning $25-49K (638)  People earning $50-74K (319)  People earning $75-99K (88)  People earning $100-149K (22) 
search again with a different word 57.9% (+9.3 / -9.9) 55.9% (+4.4 / -4.5) 58.8% (+5.8 / -6.1) 54.5% (+9.3 / -9.6) 50.0% (+21.4 / -21.4)
go to the second page of the results 42.1% (+9.9 / -9.3) 44.1% (+4.5 / -4.4) 41.2% (+6.1 / -5.8) 45.5% (+9.6 / -9.3) 50.0% (+21.4 / -21.4)

It would also be interesting to run this question again & include the option of trying another search engine as an answer.

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Citation Labs Review - Here's Why I Use it

Apr 12th

So what are we calling it today? Link building, link prospecting, content marketing, linkbait, socialbait, PR ? Whatever it is and whatever sub-definitions exist for the process of finding quality, related websites to link back to yours is difficult and time-consuming work.

As with most processes associated with SEO campaigns, or website marketing campaigns in general, enterprising folks have built tools to make our lives a little easier and our time more fruitful and productive. A couple of those enterprising fellows are Garrett French and Darren Shaw (from Whitespark.Ca) over at Citation Labs.

Garrett has a suite of link building tools available, many of them complement his flagship tool; The Link Prospector.

Link Prospector Review TOC

To help you navigate to specific sections of the review we've included in-content links below.

Getting Started

Back to Topics

So let's assume I've been contracted to embark on a link building campaign for SeoBook :) It's very easy to create a campaign and get up and running:

Create your campaign:

clabs-1

Move right into the prospects section:

clabs-2

Start prospecting :)

clabs-3

Selecting a Report

Back to Topics

The nice thing about this tool is that it's designed for a specific purpose; link prospecting. It's not bloated with a bunch of other stuff you may not need and it's easy to use, yet powerful, because it focus on doing one thing and doing it very well.

The UI of this tool is right on the money, in my opinion. Garrett has built in his own queries to find specific types of links for you (preset Reports). Here you can see the reports available to you, which are built to help you find common link types:

clabs-4

Customizing Your Prospecting

Back to Topics

As you can see, there are a variety of built in queries available which run the gamut of most of the link outreach goals you might have (interviews, resource pages, guest posts, directories, and so on). Once you settle on the report type it's time to select additional parameters like:

  • Region
  • Web or Blog, or Web AND Blog results
  • Search Depth (You can go up to 1,000 deep here, but if you make use of your exclusion lists you shouldn't have to dive that deep)
  • TLD Options
  • Date Range (Google's "past our, day, week, month, year, or anytime" options)

Try to make your queries as relevant but broad as possible to get the best results. Searches that are too specific will either net to few results or many of your direct competitors. Here, you can see my report parameters for interviews I may want to do in specific areas of SEO (Garrett includes a helpful video on that page, which I highly recommend watching):

clabs-5

Using Exclusions

The use of exclusions is an often overlooked feature of this toolset. Brands are all over the SERPs these days so when you have the Link Prospector go out to crawl potential link sources based on keywords/queries, you'll want to make sure you exclude sites you are fairly certain you won't get a link from.

You may want to exclude such sites as Ebay, Amazon, NewEgg, and so on if you are running a site about computer parts. You can put your exclusions into 2 categories:

  • Global Exclusions
  • Campaign Exclusions

Global exclusions apply to each campaign automatically. You might want to go out and download top 100 site lists (or top 1,000) lists to stick in the Global Exclusions area or simply apply specific sites you know are irrelevant to your prospecting on the whole. To access Exclusion lists, just click on the exclusion option. From there, it's just a matter of entering your domains:

clabs-6

Campaign exclusions only apply to a specific campaign. This is good news if you provide link building services and work with a variety of clients; you are not constrained to one draconian exclusion list. In speaking with Garrett, he does mention that this is an often overlooked feature of the toolset but one of the most effective features (both Global and Campaign exclusions).

Working With the Data

Back to Topics

So I ran my report which was designed to find interviewees within certain broader areas of the SEO landscape. The tool will confirm submission of your request and email you when it's complete, at any time you can go in and check the status of your reports by going to Prospects -> View Prospects. Here's what the queue looks like:

clabs-7

The results are presented in a web interface but can be easily exported to excel. From the web interface, you can see:

  • Total Domains
  • Total Paths (pages on the domain where relevancy exists, maybe we would find a relevant video channel on YouTube where it makes sense to reach out)
  • TLD
  • LTS - Link Target Score
  • PR of Domain
  • Export Options

LTS is a proprietary score provided by Citation Labs (essentially a measure of domain frequency and position within the SERPs pulled back for a given report).

If we expand the domain to see the paths, using Search Engine Land as an example, we can see pages where targets outside of the main domain might exist for our interviewing needs:

clabs-9

This is where Citation Labs really shines. Rather than just spitting back a bunch of domains for you to pursue at a broad level, it breaks down authoritative domains into specific prospecting opportunities which are super-relevant to your query/keyword relationship.

If you are on Windows (or run Windows via a virutal machine) you can use SEO Tools for Excel to take all these URLs, or the ones you want to target, and pull in social metrics, backlink data, and many other data points to further refine your list.

You can also import this data right into Buzzstream (export from Citation Labs to a CSV or Excel, then import into Buzzstream) and Buzzstream will go off and look up relevant social and contact details for outreach purposes.

We recently did a Buzzstream Review that you might find helpful.

You can also utilize Garrett's Contact Finder for contact research.

Creating Your Own Queries

Back to Topics

Another nice thing about Citation Labs's Link Prospector is that you can enter your own query parameters. You are not locked in to any specific type of data output (even though the built in ones are solid). You can do this by selecting "Custom" in the report selection field

In the Custom Report area you can create your own search operators along with the following options:

  • Region
  • Web or Blog, or Web AND Blog results
  • Search Depth (You can go up to 1,000 deep here, but if you make use of your exclusion lists you shouldn't have to dive that deep)
  • TLD Options
  • Date Range (Google's "past our, day, week, month, year, or anytime" options)

One of the tools we mention quite a bit inside the forums is the Solo SEO Link Search Tool. You can grab a lot of search operators from that tool for your own use inside the Citation Labs tool.

Garrett's Pro Tips

Back to Topics

Can you give us some tips on using the right phrases?

One objection I hear from folks who test the link prospector is "my results are full of competitors." This is typically because the research phrases they've selected don't line up with the type of prospects they're seeking. And more often than not it's because they've added their target SEO keywords rather than "category keywords" that define their area of practice.

The solution is simple though - you just need to experiment with some "bigger head" phrases. Instead of using "Atlanta Divorce Lawyer" for guest post prospecting, try just "Divorce Lawyer," or even "Divorce."

And I'd definitely recommend experimenting with the tilde "~Divorce" as it will help with synonyms that you may not have thought of. So if you're looking for guest posting opportunities for a divorce lawyer your five research phrases could look like this:

divorce
~divorce
~divorce -divorce
Divorce ~Lawyer
"family law"

The link prospector tool will take these five phrases and combine them with 20+ guest posting footprints so we end up doing 100+ queries for you. And there WILL be domain repetitions due to the close semantic clustering of these phrases. This overlap can help "float up" the best opportunities based on our LTS score (which is essentially a measurement of relevance).

All this said there are PLENTY of situations where using your SEO keywords can be productive... For example in guest posting it's common for people to use competitive keywords as anchor text. You could (and yes I'm completely contradicting my example) use "Atlanta Divorce Lawyer" as a guest posting research phrase along with your other target SEO KWs. The prospects that come back will probably have been placed by competitors.

How do you fine-tune your research phrases?

I often test my research phrases before throwing them in the tool. Let's go back to the divorce guest posting example above. To test I simply head to Google and search [divorce "guest post"]. If I see 4 or more results in the top 10 that look like "maybes" I consider that a good keyword to run with. The test footprint you should use will vary from report-type to report-type.

A good links page test is to take a potential research phrase and add intitle:links. For content promoters you could combine a potential research phrase with intitle:"round up".

I find that this testing does two things. For one it helps me drop research phrases that are only going to clog my reports with junk.

Secondarily I often discover new phrases that are likely to be productive. Look back at the list of divorce research phrases above - the last one, "family law," is there because I spotted it while testing [~divorce "guest post"]. Spending time in Google is always, always productive and I highly advise it.

What tips can you give us regarding proper Search Depth usage?

Depth is a measure of how many results the link prospector brings back from Google. How often do you find useful results on the third page of Google? How about the tenth page? There's a gem now and again, but I find that if I've carefully selected 5 awesome research phrases I save time by just analyzing the results in the top 20.

Your mileage may vary, and the tool DOES enable users to scrape all the way down to 1000 for those rare cases where you have discovered a mega-productive footprint. Test it once for sure, don't just take my word for it - my guess is you'll end up with tons of junk that actually kills the efficiency that the tool creates.

Any more expert tips on how to best use phrases and search operators?

You can addadvanced search operators in all your research phrases. Combine them with your research phrases and try them out in Google first (see tip 2) and then use them as you see fit. I use the heck out of the tilde now, as it saves me time and aids in research phrase discovery when I vet my phrases in Google. The tilde even works in conjunction with the wildcard operator (*).

So if you're looking for law links pages you could test [~law* intitle:links] and then add ~law* as one of your research phrases if it seems productive. It's not super productive by the way, because the word "code" is a law synonym... but I wouldn't have known if I didn't test, and if I didn't test I'd end up with link prospetor results that don't have anything to do with the targets I'm seeking.

Any tips on how to best leverage Exclusions (beyond putting in sites like google.com into your Global Exclusions :D )

If you have junk, not-ops that keeps turning up in your reports, add the domain as domain.com and www.domain.com to the exclusions file. Poof. It's gone from future reports you run.

You can even add the domains you've already viewed so they won't show up anymore. Be careful though - make sure you're adding them to your campaign-level excludes rather than Global.

How often do you update the tool and what is coming down the pike?

If you sign up and you find yourself asking "I wonder what would happen if I..." please write me an email. If I don't have an answer for you I will send you credits for you to do some testing. I will end up learning from you. I have users continually pushing the limits with the tool and finding new ways to use it.

We've added PR for domains, titles and snippets for each URL, blog-only search, and fixed numerous bugs and inefficiencies based on requests from our users. We're also bringing in DA, MozRank and an API because of user requests.

Thanks Garrett!!

Free Trial and Pricing

Citation Labs is currently offering a free trial. They have monthly and per credit (love that!) pricing as well. You can find their pricing structure here.

General Consumer Awareness of SEM & SEO

Apr 11th

Consumer Search Insights.

Which of the following have you heard of?

More people have heard of paid search / AdWords than have SEO / link building. One of the big issues with this question is that since it had numerous check boxes it had a lower response rate (roughly 10% vs an average of closer to 16% to 18%) & took longer for the answers to come in. In the future I can see Google adding quality score styled factors to quizes where pricing is in part based on response rate & they charge premiums for quicker responses. Anyhow, on to the results...

Vote All (1501) 
Pay Per Click 45.8% (+2.5 / -2.5)
AdWords 32.7% (+2.4 / -2.3)
SEO 21.3% (+2.1 / -2.0)
Link Building 15.9% (+1.9 / -1.8)
Ad Retargeting 14.9% (+1.9 / -1.7)

Men tend to have slightly greater awareness of SEO than women. That sort of makes sense given that most SEO conferences are heavily dominated by male attendees.

Vote Men (755)  Women (543)  Gender unknown (203) 
Pay Per Click 45.2% (+3.6 / -3.5) 45.7% (+4.2 / -4.1) 48.3% (+6.8 / -6.8)
AdWords 33.4% (+3.4 / -3.3) 32.2% (+4.0 / -3.8) 31.5% (+6.7 / -6.0)
SEO 24.8% (+3.2 / -2.9) 18.6% (+3.5 / -3.0) 15.3% (+5.6 / -4.3)
Link Building 18.9% (+2.9 / -2.6) 12.2% (+3.0 / -2.5) 14.3% (+5.5 / -4.2)
Ad Retargeting 16.4% (+2.8 / -2.5) 13.1% (+3.1 / -2.6) 13.8% (+5.4 / -4.1)

People in the 25 to 34 age range tend to be more aware of these terms than other age groups.

Vote 18-24 year-olds (229)  25-34 year-olds (316)  35-44 year-olds (162)  45-54 year-olds (227)  55-64 year-olds (182)  65+ year-olds (99) 
Pay Per Click 30.1% (+6.2 / -5.6) 50.3% (+5.5 / -5.5) 48.8% (+7.6 / -7.6) 44.9% (+6.5 / -6.3) 51.1% (+7.2 / -7.2) 51.5% (+9.6 / -9.7)
AdWords 37.1% (+6.4 / -6.0) 40.5% (+5.5 / -5.3) 32.7% (+7.6 / -6.8) 33.0% (+6.4 / -5.8) 22.0% (+6.6 / -5.4) 20.2% (+9.0 / -6.7)
SEO 21.4% (+5.8 / -4.8) 32.6% (+5.4 / -4.9) 29.6% (+7.4 / -6.5) 14.1% (+5.1 / -3.9) 13.2% (+5.7 / -4.2) 18.2% (+8.7 / -6.4)
Link Building 17.0% (+5.4 / -4.3) 17.4% (+4.6 / -3.8) 16.0% (+6.4 / -4.9) 15.9% (+5.3 / -4.2) 15.4% (+6.0 / -4.5) 12.1% (+7.9 / -5.0)
Ad Retargeting 12.2% (+4.9 / -3.6) 16.1% (+4.5 / -3.6) 17.3% (+6.6 / -5.0) 18.9% (+5.6 / -4.6) 11.0% (+5.4 / -3.8) 16.2% (+8.5 / -6.0)

The map is sort of all over the map...there are no easily definable regional patterns.

Vote The US Midwest (320)  The US Northeast (415)  The US South (432)  The US West (316) 
Pay Per Click 43.8% (+5.5 / -5.3) 47.5% (+4.8 / -4.8) 43.1% (+4.7 / -4.6) 48.7% (+5.5 / -5.5)
AdWords 33.1% (+5.3 / -4.9) 30.6% (+4.6 / -4.2) 33.1% (+4.6 / -4.3) 34.5% (+5.4 / -5.0)
SEO 18.1% (+4.6 / -3.8) 24.3% (+4.4 / -3.9) 19.2% (+4.0 / -3.4) 22.2% (+4.9 / -4.2)
Link Building 15.3% (+4.4 / -3.5) 13.5% (+3.6 / -3.0) 18.5% (+3.9 / -3.4) 16.1% (+4.5 / -3.6)
Ad Retargeting 13.8% (+4.2 / -3.3) 14.2% (+3.7 / -3.0) 17.1% (+3.8 / -3.3) 13.6% (+4.2 / -3.3)

People in urban areas tend to be more aware of SEM terms than rural people are. This is not particularly surprising since in smaller towns word of mouth and word around the town goes a long way (I used to live in a town of 1200 people) and in cities there is a lot more options than any one person can try & there is far greater noise/competition in the marketplace, both from a consumer and business perspective.

The "unknown" density category only had 32 total responses, so that is just noise.

Vote Urban areas (793)  Rural areas (113)  Suburban areas (563)  Urban Density unknown (32) 
Pay Per Click 45.4% (+3.5 / -3.4) 38.9% (+9.2 / -8.5) 47.8% (+4.1 / -4.1) 43.8% (+16.9 / -15.6)
AdWords 35.6% (+3.4 / -3.3) 27.4% (+8.9 / -7.4) 29.3% (+3.9 / -3.6) 40.6% (+17.1 / -15.1)
SEO 24.7% (+3.1 / -2.9) 15.9% (+7.8 / -5.6) 16.9% (+3.3 / -2.9) 31.2% (+17.3 / -13.3)
Link Building 15.5% (+2.7 / -2.4) 17.7% (+8.1 / -5.9) 16.2% (+3.3 / -2.8) 12.5% (+15.6 / -7.5)
Ad Retargeting 14.6% (+2.6 / -2.3) 19.5% (+8.3 / -6.2) 13.3% (+3.1 / -2.6) 31.2% (+17.3 / -13.3)

There are not many clear patterns among income (that surprises me as I would have thought there was a strong correlation). However, once again, the data is skewed to exclude most people with higher incomes, as there was only 1 response at > $150,000 / year.

Here is the opening chart, followed by the same chart

Vote People earning $0-24K (178)  People earning $25-49K (828)  People earning $50-74K (371)  People earning $75-99K (88)  People earning $100-149K (24)  People earning $150K+ (1)  Income unknown (11) 
Pay Per Click 43.3% (+7.3 / -7.1) 44.2% (+3.4 / -3.3) 48.8% (+5.1 / -5.0) 52.3% (+10.1 / -10.3) 50.0% (+18.6 / -18.6) 0.0% (+79.3 / -0.0) 45.5% (+26.5 / -24.2)
AdWords 34.3% (+7.2 / -6.6) 31.9% (+3.3 / -3.1) 35.0% (+5.0 / -4.7) 28.4% (+10.2 / -8.4) 20.8% (+19.6 / -11.6) 100.0% (+0.0 / -79.3) 45.5% (+26.5 / -24.2)
SEO 21.9% (+6.6 / -5.4) 20.4% (+2.9 / -2.6) 23.7% (+4.6 / -4.0) 13.6% (+8.7 / -5.7) 29.2% (+20.0 / -14.3) 0.0% (+79.3 / -0.0) 36.4% (+28.3 / -21.2)
Link Building 19.1% (+6.4 / -5.1) 16.3% (+2.7 / -2.4) 14.6% (+4.0 / -3.2) 12.5% (+8.5 / -5.4) 12.5% (+18.5 / -8.2) 0.0% (+79.3 / -0.0) 9.1% (+28.6 / -7.5)
Ad Retargeting 13.5% (+5.8 / -4.3) 14.1% (+2.5 / -2.2) 17.0% (+4.2 / -3.5) 12.5% (+8.5 / -5.4) 20.8% (+19.6 / -11.6) 0.0% (+79.3 / -0.0) 27.3% (+29.3 / -17.5)

Here is the chart again with those last 2 columns lopped off

Vote People earning $0-24K (178)  People earning $25-49K (828)  People earning $50-74K (371)  People earning $75-99K (88)  People earning $100-149K (24) 
Pay Per Click 43.3% (+7.3 / -7.1) 44.2% (+3.4 / -3.3) 48.8% (+5.1 / -5.0) 52.3% (+10.1 / -10.3) 50.0% (+18.6 / -18.6)
AdWords 34.3% (+7.2 / -6.6) 31.9% (+3.3 / -3.1) 35.0% (+5.0 / -4.7) 28.4% (+10.2 / -8.4) 20.8% (+19.6 / -11.6)
SEO 21.9% (+6.6 / -5.4) 20.4% (+2.9 / -2.6) 23.7% (+4.6 / -4.0) 13.6% (+8.7 / -5.7) 29.2% (+20.0 / -14.3)
Link Building 19.1% (+6.4 / -5.1) 16.3% (+2.7 / -2.4) 14.6% (+4.0 / -3.2) 12.5% (+8.5 / -5.4) 12.5% (+18.5 / -8.2)
Ad Retargeting 13.5% (+5.8 / -4.3) 14.1% (+2.5 / -2.2) 17.0% (+4.2 / -3.5) 12.5% (+8.5 / -5.4) 20.8% (+19.6 / -11.6)

Paid Placement in Search Engines

Apr 10th

Consumer Search Insights.
In the below poll we didn't make any distinction between AdWords & organic SEO investments. If we did I am not sure how it would have impacted the voting.

How do you feel about people paying for placement in search engines?

Nearly 2 in 3 people dislike money manipulating search results.

response All (1201) 
I think it is deceptive 65.4% (+3.3 / -3.5)
It is good if it is relevant 34.6% (+3.5 / -3.3)

Women tend to dislike it slightly more than men.

answer Men (813)  Women (388) 
I think it is deceptive 63.6% (+3.6 / -3.8) 67.2% (+5.4 / -5.9)
It is good if it is relevant 36.4% (+3.8 / -3.6) 32.8% (+5.9 / -5.4)

Older people tend to think money influencing search is manipulative, as do younger people who have not had their idealism beaten out of them by the harshness of the world. However the people in the 25 to 34 range who grew up with the web tend to like paid search far more than other groups do.

response 18-24 year-olds (350)  25-34 year-olds (266)  35-44 year-olds (164)  45-54 year-olds (194)  55-64 year-olds (148)  65+ year-olds (80) 
I think it is deceptive 61.3% (+5.0 / -5.2) 47.9% (+6.6 / -6.6) 63.8% (+7.0 / -7.7) 72.5% (+5.8 / -6.7) 72.8% (+6.9 / -8.1) 70.6% (+9.9 / -12.3)
It is good if it is relevant 38.7% (+5.2 / -5.0) 52.1% (+6.6 / -6.6) 36.2% (+7.7 / -7.0) 27.5% (+6.7 / -5.8) 27.2% (+8.1 / -6.9) 29.4% (+12.3 / -9.9)

People in the south tend to dislike money influencing search than any other region & people out west are more accepting of it. Perhaps the audience from California is more likely to understand how search impacts the local economy?

answer The US Midwest (267)  The US Northeast (333)  The US South (355)  The US West (246) 
I think it is deceptive 64.3% (+6.9 / -7.5) 66.4% (+5.9 / -6.4) 69.5% (+5.6 / -6.2) 59.8% (+7.4 / -7.8)
It is good if it is relevant 35.7% (+7.5 / -6.9) 33.6% (+6.4 / -5.9) 30.5% (+6.2 / -5.6) 40.2% (+7.8 / -7.4)

Rural people dislike money influencing search more than urban people do.

response Urban areas (620)  Rural areas (109)  Suburban areas (460) 
I think it is deceptive 63.2% (+4.4 / -4.6) 70.9% (+8.9 / -10.8) 65.3% (+4.9 / -5.2)
It is good if it is relevant 36.8% (+4.6 / -4.4) 29.1% (+10.8 / -8.9) 34.7% (+5.2 / -4.9)

Income has essentially no impact on the perception of the influence of money in search (though there was insufficient data at the upper end of the income range).

response People earning $0-24K (135)  People earning $25-49K (675)  People earning $50-74K (307)  People earning $75-99K (71)  People earning $100-149K  People earning $150K+ 
I think it is deceptive 65.1% (+7.4 / -8.2) 65.8% (+4.3 / -4.6) 65.4% (+6.1 / -6.7) 66.5% (+9.2 / -10.7) Insufficient data Insufficient data
It is good if it is relevant 34.9% (+8.2 / -7.4) 34.2% (+4.6 / -4.3) 34.6% (+6.7 / -6.1) 33.5% (+10.7 / -9.2) Insufficient data Insufficient data

Content Locking Ads

Apr 10th

Consumer Search Insights.

Google recently launched a consumer insights survey product, which quizes users for access to premium content.

How do users get access to these poll questions? Google locks premium content behind them, likeso:

Google has long stated that "cloaking is bad" and that it was deceptive & users didn't like it. Earlier this year Google also rolled out an algorithm to penalize sites that were too ad heavy:

We’ve heard complaints from users that if they click on a result and it’s difficult to find the actual content, they aren’t happy with the experience. Rather than scrolling down the page past a slew of ads, users want to see content right away. So sites that don’t have much content “above-the-fold” can be affected by this change. If you click on a website and the part of the website you see first either doesn’t have a lot of visible content above-the-fold or dedicates a large fraction of the site’s initial screen real estate to ads, that’s not a very good user experience.

Also recall that the second version of the Panda update encouraged users to block sites & many programmers blocked Experts-exchange due to disliking their scroll cloaking. That in turn caused Experts-exchange to get hit & see a nose dive in traffic.

Between the above & seeing how implementation of this quiz technology works, I had to ask:
How do you feel about ads that lock content behind poll questions like this one?

Response Vote
Hate them. A total waste of time 63.7% (+3.3 / -3.4)
I am indifferent 30.8% (+3.3 / -3.1)
I love them. These are fun 5.5% (+2.5 / -1.7)

There isn't a huge split between men & women. Men hate them a bit more, but they also like them a bit more...they are just less indifferent.

Vote Men (811) Women (409)
Hate them. A total waste of time 66.1% (+3.4 / -3.6) 61.5% (+5.4 / -5.7)
I am indifferent 27.2% (+3.4 / -3.2) 34.2% (+5.6 / -5.2)
I love them. These are fun 6.7% (+2.3 / -1.7) 4.3% (+5.1 / -2.4)

Young people & old people tend to like such quizes more than people in the middle. My guess is this is because older people are a bit lonely & younger people do not value their time as much and presume it is more important that they voice their opinions on trivial matters. People just before their retirement (who have recently been hosed by the financial markets) tend not to like these polls as much & same with people in their mid 30s to mid 40s, who are likely short on time trying to balance career, family & finances.

Vote 18-24 year-olds (359) 25-34 year-olds (267) 35-44 year-olds (151) 45-54 year-olds (200) 55-64 year-olds (158) 65+ year-olds (83)
Hate them. A total waste of time 62.1% (+4.9 / -5.2) 62.6% (+6.0 / -6.4) 69.4% (+6.9 / -7.9) 64.5% (+6.5 / -7.1) 68.3% (+6.3 / -7.1) 62.3% (+10.2 / -11.4)
I am indifferent 28.9% (+4.9 / -4.5) 32.1% (+6.2 / -5.6) 24.0% (+7.6 / -6.2) 30.8% (+7.0 / -6.2) 28.4% (+6.9 / -6.0) 28.7% (+11.3 / -9.1)
I love them. These are fun 8.9% (+3.4 / -2.5) 5.3% (+3.7 / -2.2) 6.6% (+5.3 / -3.0) 4.7% (+3.7 / -2.1) 3.3% (+4.4 / -1.9) 9.0% (+9.7 / -4.9)

People out west tend to be more indifferent. Like, whatever man. This may or may not have something to do with California's marijuana laws. ;)

vote The US Midwest (280) The US Northeast (331) The US South (363) The US West (246)
Hate them. A total waste of time 65.2% (+5.6 / -6.0) 69.0% (+6.2 / -7.0) 65.6% (+5.9 / -6.4) 55.6% (+7.2 / -7.5)
I am indifferent 29.7% (+5.9 / -5.3) 25.6% (+6.8 / -5.8) 28.7% (+6.2 / -5.5) 38.7% (+7.4 / -6.9)
I love them. These are fun 5.1% (+4.5 / -2.4) 5.4% (+5.9 / -2.9) 5.7% (+4.8 / -2.7) 5.6% (+7.4 / -3.3)

Rural people tend to like such polls more than others. Perhaps it has to do with a greater longing for connection due to being more isolated?

vote Urban areas (608) Rural areas (117) Suburban areas (477)
Hate them. A total waste of time 62.6% (+4.6 / -4.9) 53.6% (+10.1 / -10.4) 63.8% (+4.8 / -5.1)
I am indifferent 32.2% (+4.8 / -4.4) 37.5% (+10.4 / -9.3) 29.1% (+5.0 / -4.6)
I love them. These are fun 5.2% (+4.4 / -2.5) 8.9% (+9.5 / -4.8) 7.2% (+5.2 / -3.1)

There aren't any conclusive bits based on income. Wealthier people appear to be more indifferent, however the sampling error on that is huge due to the small sample size.

vote People earning $0-24K (151) People earning $25-49K (670) People earning $50-74K (303) People earning $75-99K (77) People earning $100-149K (20) People earning $150K+
Hate them. A total waste of time 69.0% (+7.7 / -8.9) 62.1% (+4.4 / -4.6) 69.7% (+5.5 / -6.1) 69.7% (+9.1 / -10.9) 53.8% (+19.3 / -20.5) Insufficient data
I am indifferent 26.0% (+8.5 / -7.0) 32.6% (+4.6 / -4.3) 23.6% (+5.8 / -5.0) 26.0% (+11.1 / -8.7) 41.7% (+20.6 / -18.1) Insufficient data
I love them. These are fun 5.0% (+6.8 / -3.0) 5.3% (+4.0 / -2.4) 6.7% (+5.7 / -3.2) 4.3% (+11.8 / -3.3) 4.4% (+27.1 / -4.0) Insufficient data

So, ultimately, Google was right that users hate excessive ads & cloaking. But the one thing users hate more than either of those is paying for content. ;)

Some of the traditional publishing businesses are dying on the vine & this is certainly a great experiment to try to generate incremental revenues.

...but...

How does Google's definition of cloaking square with the above? If publishers (or a competing ad network) do the same thing without Google, would it be considered spam?

Ad Retargeting

Apr 10th

Consumer Search Insights.

How do you feel about companies tracking your online behavior to target ads?

Surprisingly, nearly 1 in 11 people like ad retargeting. However, over 3 in 5 people dislike it.

response All (1250) 
I dislike it because it feels creepy 62.3% (+3.1 / -3.3)
I don't care either way 29.3% (+3.1 / -2.9)
I like more relevant ads 8.3% (+2.3 / -1.9)

Women tend to think being stalked by ads is creepier than men do.

vote Men (822)  Women (428) 
I dislike it because it feels creepy 60.6% (+3.7 / -3.8) 64.1% (+5.0 / -5.3)
I don't care either way 30.0% (+3.6 / -3.4) 28.7% (+5.1 / -4.6)
I like more relevant ads 9.5% (+2.6 / -2.1) 7.2% (+4.2 / -2.7)

Younger people who are old enough to be starting families tend to be more financially stressed than most other age groups, so they are likely more appreciative of relevant ads tied to discounts & such. Younger people have also used the web for so much of their lives that they are not as creeped out by tracking & privacy issues as older people are. People in retirement also like relevant ads, perhaps in part because they are feeling the Ben "printing press gone wild but no inflation" Bernake pinch & see their fixed income retirements collapse under artificially low interest rates tied to money printing game.

age 18-24 year-olds (372)  25-34 year-olds (270)  35-44 year-olds (150)  45-54 year-olds (217)  55-64 year-olds (164)  65+ year-olds (77) 
I dislike it because it feels creepy 60.2% (+4.8 / -5.0) 52.3% (+6.3 / -6.4) 65.1% (+7.2 / -8.0) 66.0% (+6.1 / -6.6) 66.6% (+6.9 / -7.7) 55.7% (+11.2 / -11.8)
I don't care either way 33.6% (+4.9 / -4.6) 35.0% (+6.4 / -5.9) 25.5% (+7.6 / -6.3) 27.9% (+6.4 / -5.6) 26.9% (+7.5 / -6.3) 33.5% (+11.9 / -10.1)
I like more relevant ads 6.2% (+2.9 / -2.0) 12.7% (+5.1 / -3.8) 9.5% (+5.9 / -3.8) 6.1% (+3.9 / -2.5) 6.4% (+5.2 / -2.9) 10.7% (+9.1 / -5.2)

People from the west coast are perhaps slightly more aware of the risks of online tracking. People from the south couldn't care either way. In the midwest the stereotype of the mom who clips coupons is shown in the data (though the sample size is small).

vote The US Midwest (259)  The US Northeast (340)  The US South (404)  The US West (247) 
I dislike it because it feels creepy 58.5% (+6.5 / -6.9) 61.8% (+5.9 / -6.3) 61.6% (+5.7 / -6.0) 67.2% (+6.2 / -6.8)
I don't care either way 29.9% (+6.6 / -5.9) 29.1% (+5.8 / -5.2) 32.4% (+5.9 / -5.4) 24.6% (+6.7 / -5.6)
I like more relevant ads 11.6% (+5.6 / -4.0) 9.1% (+5.0 / -3.3) 6.0% (+4.6 / -2.7) 8.2% (+5.7 / -3.5)

On everything outside of disliking online tracking the margin of error is wide enough that it is somewhat hard to notice any strong patterns based on population data.

vote Urban areas (636)  Rural areas (108)  Suburban areas (480) 
I dislike it because it feels creepy 58.9% (+5.0 / -5.1) 61.1% (+9.0 / -9.8) 62.6% (+4.5 / -4.7)
I don't care either way 32.3% (+5.1 / -4.7) 33.9% (+9.9 / -8.6) 27.6% (+4.5 / -4.1)
I like more relevant ads 8.8% (+4.4 / -3.0) 5.0% (+8.7 / -3.3) 9.8% (+3.6 / -2.7)

It is also hard to see much of a broad pattern based on income levels.

vote People earning $0-24K (150)  People earning $25-49K (691)  People earning $50-74K (304)  People earning $75-99K (88) 
I dislike it because it feels creepy 62.2% (+8.4 / -9.1) 60.2% (+4.2 / -4.4) 66.5% (+5.8 / -6.4) 55.1% (+10.2 / -10.6)
I don't care either way 30.0% (+9.2 / -7.8) 30.8% (+4.3 / -4.0) 25.9% (+6.1 / -5.3) 35.8% (+10.4 / -9.2)
I like more relevant ads 7.9% (+8.6 / -4.3) 9.0% (+3.7 / -2.7) 7.5% (+5.5 / -3.3) 9.2% (+9.0 / -4.8)

Google+ Integration

Apr 9th

Consumer Search Insights.
As publishers we tend to be quite concerned with the over-promotion of Google+ because it carves up the search landscape, is potentially another hoop that we have to jump through, and in some cases, the Google+ hosted version of a page will outrank the legitimate original source - which screws up the economics of online publishing.

But do users care about how Google+ was integrated directly into the search results? Generally no.

How do you feel Google+ integration has impacted Google's relevancy?

Under 1 in 5 people said it made the search results better, under 1 in 5 said it made the search results worse & over 3 in 5 didn't notice any material impact.

vote All (1260) 
no noticeable impact 64.7% (+3.3 / -3.5)
made it better 17.4% (+2.9 / -2.6)
made it worse 17.9% (+3.0 / -2.7)

Men liked it slightly more than women. However, that difference was within the estimated range of error. If this difference was more significant one might guestimate that women are better at socializing offline & have less need for artificial web relationships, given their relatively larger corpus callosum. ;)

vote Men (875)  Women (385) 
no noticeable impact 64.1% (+3.4 / -3.6) 65.3% (+5.5 / -5.9)
made it better 18.7% (+3.0 / -2.6) 16.2% (+5.2 / -4.1)
made it worse 17.2% (+2.9 / -2.6) 18.5% (+5.3 / -4.4)

Older people are less likely to have loads of online friends & relationships (as they spent most of their lives building relationships in the physical world, before the web or online social networks were popular). Older people also tend to be more set in their ways. Thus many older people won't be signed up for Google+ & won't notice as much of an impact from it.

Younger people are more likely to want to try out new technology, thus they are more likely to notice an impact from it. Some generations tend to be more isolated & individualistic (like the baby boomers) while millennials tend to like to work in groups & network more (it isn't an accident that Facebook started on a college campus & targeted college students), thus younger people are not only more likely to notice something like Google+, but they are also more likely to like its impact.

vote 18-24 year-olds (334)  25-34 year-olds (322)  35-44 year-olds (141)  45-54 year-olds (204)  55-64 year-olds (167)  65+ year-olds (93) 
no noticeable impact 59.8% (+5.1 / -5.4) 64.0% (+5.4 / -5.7) 66.6% (+7.3 / -8.2) 59.3% (+6.6 / -7.0) 65.7% (+6.9 / -7.7) 73.9% (+8.1 / -10.1)
made it better 26.6% (+5.0 / -4.4) 18.8% (+5.0 / -4.1) 16.3% (+7.2 / -5.3) 19.1% (+6.2 / -4.9) 16.4% (+6.7 / -5.0) 7.9% (+8.7 / -4.3)
made it worse 13.6% (+4.1 / -3.3) 17.2% (+4.8 / -3.9) 17.1% (+7.4 / -5.5) 21.6% (+6.0 / -5.0) 17.9% (+6.5 / -5.0) 18.2% (+9.9 / -7.0)

I didn't notice any obvious trends or patterns aligned with locations across the country.

vote The US Midwest (267)  The US Northeast (360)  The US South (378)  The US West (255) 
no noticeable impact 65.5% (+6.7 / -7.3) 61.3% (+7.3 / -7.8) 67.6% (+5.6 / -6.1) 62.4% (+6.6 / -7.1)
made it better 16.2% (+6.2 / -4.7) 20.5% (+7.8 / -6.1) 17.2% (+5.0 / -4.1) 16.5% (+6.3 / -4.8)
made it worse 18.4% (+6.9 / -5.3) 18.2% (+6.3 / -4.9) 15.1% (+5.6 / -4.3) 21.1% (+6.6 / -5.3)

Suburban people were more likely to notice an impact, though they were not heavily skewed in one way or the other

vote Urban areas (669)  Rural areas (124)  Suburban areas (450) 
no noticeable impact 65.9% (+4.1 / -4.4) 66.8% (+9.0 / -10.4) 62.0% (+4.7 / -5.0)
made it better 16.4% (+3.7 / -3.1) 14.3% (+8.5 / -5.7) 20.4% (+4.4 / -3.8)
made it worse 17.6% (+3.9 / -3.3) 18.9% (+9.8 / -7.0) 17.6% (+4.2 / -3.6)

People who earned less were less likely to notice positive or negative impact from Google+ integration (somewhat surprising since younger people tend to skew toward lower incomes & younger people were more likely to notice & like Google+ integration). Outside of that, the data is too bunched up to see any other significant patterns based on income.

vote People earning $0-24K (162)  People earning $25-49K (698)  People earning $50-74K (312)  People earning $75-99K (71) 
no noticeable impact 71.1% (+7.8 / -9.2) 62.8% (+4.4 / -4.6) 61.9% (+6.3 / -6.8) 61.3% (+10.6 / -11.9)
made it better 14.8% (+8.8 / -5.9) 17.5% (+4.0 / -3.4) 18.9% (+5.9 / -4.8) 17.1% (+11.5 / -7.5)
made it worse 14.1% (+9.5 / -6.1) 19.7% (+4.3 / -3.7) 19.2% (+6.4 / -5.1) 21.6% (+11.2 / -8.1)

Editorial Objectivity

Apr 8th

Consumer Search Insights.

Should search engines be able to preferentially promote their own services in their search results?

Nearly 3 in 4 people think that search engines should not be able to preferentially promote their own services.

vote All (1226)
no, results should be objective 74.1% (+3.1 / -3.4)
yes, it is their search results 25.9% (+3.4 / -3.1)

There was essentially no split between men & women.

vote Men (827) Women (399)
no, results should be objective 73.7% (+3.1 / -3.4) 74.4% (+5.2 / -6.0)
yes, it is their search results 26.3% (+3.4 / -3.1) 25.6% (+6.0 / -5.2)

Older people tend to prefer/want more editorial objectivity, whereas younger people are more fine with search engines preferentially promoting their own services. Older people tend to be more fixed in their ways & younger people are much less so.

vote 18-24 year-olds (338) 25-34 year-olds (269) 35-44 year-olds (158) 45-54 year-olds (209) 55-64 year-olds (169) 65+ year-olds (83)
no, results should be objective 65.0% (+4.9 / -5.2) 76.0% (+5.1 / -6.0) 74.0% (+6.5 / -7.7) 71.2% (+5.7 / -6.5) 71.4% (+6.5 / -7.5) 87.2% (+6.1 / -10.4)
yes, it is their search results 35.0% (+5.2 / -4.9) 24.0% (+6.0 / -5.1) 26.0% (+7.7 / -6.5) 28.8% (+6.5 / -5.7) 28.6% (+7.5 / -6.5) 12.8% (+10.4 / -6.1)

Geographically, people in the south & midwest tend to be slightly more trusting, perhaps due to the lower cost of living & less competitive markets. However, any differences here are fairly minor & are within the margin of error.

vote The US Midwest (244) The US Northeast (367) The US South (352) The US West (263)
no, results should be objective 72.2% (+6.4 / -7.4) 77.7% (+4.5 / -5.3) 72.1% (+6.0 / -6.9) 75.9% (+5.7 / -6.9)
yes, it is their search results 27.8% (+7.4 / -6.4) 22.3% (+5.3 / -4.5) 27.9% (+6.9 / -6.0) 24.1% (+6.9 / -5.7)

People who are rural tend to be slightly more accepting of Google doing as it wishes, though this is also a small sample size & well within the margin of error.

vote Urban areas (647) Rural areas (106) Suburban areas (453)
no, results should be objective 74.3% (+4.3 / -4.9) 71.9% (+8.5 / -10.5) 74.4% (+4.2 / -4.7)
yes, it is their search results 25.7% (+4.9 / -4.3) 28.1% (+10.5 / -8.5) 25.6% (+4.7 / -4.2)

There isn't a strong correlation with income on this issue either. People cared a bit more at higher income levels, but there was also a wider margin of error due to small sampling size.

vote People earning $0-24K (142) People earning $25-49K (677) People earning $50-74K (316) People earning $75-99K (75) People earning $100-149K People earning $150K+
no, results should be objective 72.0% (+7.8 / -9.4) 76.8% (+3.7 / -4.1) 68.7% (+6.1 / -6.8) 83.1% (+6.9 / -10.2) Insufficient data Insufficient data
yes, it is their search results 28.0% (+9.4 / -7.8) 23.2% (+4.1 / -3.7) 31.3% (+6.8 / -6.1) 16.9% (+10.2 / -6.9) Insufficient data Insufficient data

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