SEO Research Survey: Common SEO Assumptions and Real User Feedback

Post on 05-Dec-2014

4.250 views 1 download

description

SurveyMonkey Audience launched a research project to discover what regular users think about SEO(search engine optimization) basics. The survey asked common questions like Google vs Bing but also asked deeper questions meant to understand the value of guest posts from a user standpoint. Some of the topics addressed by the SEO research are: social media (specifically Facebook, Twitter and Google Plus, ccTLD, links with or without anchor text, and the reasons user might bounce from a page. All the raw survey data is freely available and linked in presentation, so feel free to come up with your own insights! More info here: http://bit.ly/12kS2DfSlide

Transcript of SEO Research Survey: Common SEO Assumptions and Real User Feedback

Survey: SEO Assumptions

Conducted by:Eli SchwartzOnline Marketing ManagerSurveyMonkey

Background

• We created a survey to test 16 common SEO assumptions • The survey was conducted via the SurveyMonkey Audience

tool• Respondents were randomly assigned into 1 of 2 surveys

with 16 questions• Survey sent to 3,000 people• Survey was open for 5 days• 615 people participated• The following slides show a comparison of means between

the 2 surveys when the data was shown to be statistically significant

• 2 surveys: https://www.surveymonkey.com/s/seo-assumption-1 & https://www.surveymonkey.com/s/seo-assumption-2

• Actual survey response data: http://bit.ly/12kS2DfSlide

Who answered the surveys? Survey 1

Who answered the surveys? Survey 2

Summary of conclusions

• Search users are biased towards Google, but they consider Bing’s results to be of equal quality to Google when branding is swapped

• A branded site impacts a user’s level of trust on content• An increase in Facebook likes influence a users likelihood of

sharing content• An increase in Tweets influences a users likelihood of sharing

content• An increase in Google Pluses influences a users likelihood of

sharing content• Linking to high quality sites makes a site/content more

trustworthy• US users do not seem biased towards .COM vs .CA• Users trust a guest post less when told that it is a guest post• An exact match domain makes a user more likely to do an

action like fill out a lead

Summary of conclusions cont’d

• The publish date of content does not seem to affect user trust

• Poor grammar and spelling impacts user trust of content• The greatest reasons users would block a site from

appearing in search is because of “too many ads” and “poor content”

• If a user does not find what they expect on a webpage after clicking from search they will most likely go back to Google and click another result

• 33% of users start web surfing on Google• 76% of users rely on Google to search for information• Users appear to be able to guess the context of a link

whether there is optimized anchor text or not

Question 1: Do users prefer Google or Bing

• Users in survey 1 were shown a Google search result page and a Bing Search Result page for the query “File taxes”. The headers on the SERP page showed whether it was a Bing or Google result

• Users in survey 2 were shown a Google search result page and a Bing Search Result page for the query “File taxes”. The headers on the SERP page were swapped, and users choosing Bing’s results actually thought they were picking Google.

Question 1: Do users prefer Google or Bing

Google results labeled as Bing

Bing results labeled as Google

Bing results

Google results

Conclusion:Users are biased towards Google as a result of the brand

Q2: How much does brand matter for trust?

• Users in survey 1 were asked about their level of trust for an article published on CNN.com

• Users in survey 2 were asked about their level of trust for an article published on Internetnews.com

Q2: How much does brand matter for trust?

Conclusion:Users have a greater degree of trust for content on a recognized brand

Q3: Impact of Facebook Likes

• In survey 1 users were told that there were a large number of Likes on an article, and asked if they were likely to read the content.

• In survey 2 users were told that there were a small number of Likes on an article, and asked if they were likely to read the content.

Q3: Impact of Facebook Likes

Conclusion:Facebook likes do impact the likelihood of reading content

Q4: Impact of Tweets

• In survey 1 users were told that there were a large number of Tweets on an article, and asked if they were likely to read the content.

• In survey 2 users were told that there were a small number of Tweets on an article, and asked if they were likely to read the content.

Q4: Impact of Tweets

Conclusion:Tweets do impact the likelihood of reading content

Q5: Impact of G Plus

• In survey 1 users were told that there were a large number of Google pluses on a photo, and asked if they were likely to share the photo.

• In survey 1 users were told that there were a small number of Google pluses on a photo, and asked if they were likely to share the photo.

Q5: Impact of G Plus

Conclusion:Pluses do impact the likelihood of sharing content

Q6: External links conveying trust

• In survey 1 users were told that a site they read links out to well known sites.

• In survey 2 users were told that a site they read links out to unknown sites.

Q6: External links conveying trust

Conclusion:Outbound links do impact the trust of a site by users

Q7: US user trust of ccTLD

• In survey 1 users were told that they read an article on unknown .COM site

• In survey 2 users were told that they read an article on unknown .CA site

Q7: US user trust of ccTLD

Conclusion:ccTLD does not significantly impact trust

Q8: Trust of guest posts

• In survey 1 users were informed that a writer was a staff writer and asked to rate their trust of the article

• In survey 2 users were told that a writer was a volunteer writerand asked to rate their trust of the article

Q8: Trust of guest posts

Conclusion:Users trust a guest poster less than a staff writer

Q9: Exact match domain as a level of trust

• In survey 1 users were told that the site they are looking at is an exact match for the business they sought.

• In survey 2 users were told that the site they are looking at is a random domain name for the service they sought

Q9: Exact match domain as a level of trust

Conclusion:Domain name match to query does motivate trust

Q10: Freshness

• In survey 1 users were told that the article was 10 days old

• In survey 2 users were told that the article was 2 years old

Q10: Freshness

Conclusion:Publish date on evergreen content had no significant difference

Q11: Spelling and Grammar

• In survey 1 users were shown an article about oil changes as it was published on Discovery.com. Users were asked to assess their trust of the article.

• In survey 2 users were shown the same article about oil changes but typos were inserted and obvious grammar issues were inserted.. Users were asked to assess their trust of the article.

Q11: A

Q11: B

Q11: Spelling and Grammar

Conclusion:Spelling and grammar impact trust

Q12: Users block sites in search

• This question was the same in both surveys

Q12: Users block sites in search

Q13: When users bounce

• This question was the same in both surveys

Q13: When users bounce

Q14: First website users go to

This question was the same in both surveys

Q14: First website users go to

Q15: Where users search for information

• This question was the same in both surveys

Q15: Where users search for information

Q16: Linking and context

• In survey 1 users were shown an article that used exact anchor text to link to another site

• In survey 2 users were shown an article that used a domain name as the anchor text to link to another site

16A: Linking and context (exact match)

16A: Linking and context (domain name)

Q16: Linking and context

Link contained anchor text

Link did not contain anchor text

Thank you!

Questions? Email: elis@surveymonkey.com or get in touch on LinkedIn: http://www.linkedin.com/in/schwartze