Friday, March 18, 2011

RFM Analysis and Google

I have found an interesting article about how tweets affects Google ranking. The main points from the article are:
  • The more quantity and quality of tweets that link to your website, the more of a lift you can expect to see in your search engine rankings.
  • If a search phrase is a part of text from tweet pointing to your page, the page will rank better in SERP.
  • Google and Bing both say they look at the author's authority or quality when evaluating links that appear in tweets.
  • The early result of recent experiment is that the page with many recent tweets ranks better then page with the similar number of (recent) back links.
  • Most SEO experts believe the boost in rankings from a tweeted link diminishes over time.
You are probably curious why so many bold text so far and what the RFM Analysis is.

RFM analysis is data analysis technique we use for marketing campaings planning (email and facebook marketing). RFM comes from Recency, Frequency and Monetary. Let me quote Jim Novo:

1.  Customers who purchased recently were more likely to buy again versus customers who had not purchased in a while
2.  Customers who purchased frequently were more likely to buy again versus customers who had made just one or two purchases
3.  Customers who had spent the most money in total were more likely to buy again.  The most valuable customers tended to continue to become even more valuable.
We use RFM values for customer segmenation in addition to demografic attributes. Evaluation of our campaigns confirmed that RFM score is great predictor of customers and visitors behaviour.

According to finds listed in the article it seems that RFM score of tweeting is a part of google ranking algorithm, with the author's authority and text relevancy playing role of Monetary factor.

Another example of Recency affecting the rank is observed behaviour that newly indexed content jumps high in Google search results and then gradually falls in case no further linking is done to support higher rank.

*

On our home page there is a small example of what we used RFM Analysis for. On our SEO page we mention link building as an important task. It looks like we will have to add tweets to the list.