Hey! I’m Dan…
You may recognize me from Twitter or other SEO communities around the web like SEOmoz. If not, nice to meet you! I run Evolving SEO in Massachusetts. Just like to thank Tom Critchlow for offering me the opportunity to guest post on the Distilled site. This is my first guest post ever. I hope I fulfill your expectations!
Tom Suggested I Write About This Google Search For “Fave”
It all started on a recent Wednesday. I went down to NYC for the Distilled SEO for E-Commerce Meetup. Tom and I were chatting. He had recently read my post on some weird IMDB results in Bing and thought I’d be gullible (ummm… I mean excited) enough to write about this strange Google search for “fave”:
What we both found strange about it was:
- The page had no page authority
- Google did not suggest a spell correction
- The amount of search volume for “fave” (you’ll have to view the slideshow for that)
I had a lot of questions:
- Did the result have something to do with “fave” being the beginning of a misspelling for “facebook”?
- Was there something else that SHOULD rank for “fave” that wasn’t?
- How COULD something else rank for “fave” if you wanted it to?
- And importantly, what can we LEARN from this and apply in practice?
I love these sorts of indexation mysteries, so naturally I thought it was a fantastic idea, thanks for letting me take the wheel on this one Tom!
Like my post on IMDB, this seemed to present best via slideshow – so get your forward and back buttons ready, and check out what I found! Its a nail biter! I’ve included some extra info and resources below:
Three Step Approach
I break my approach into a three step hierarchy:
- Does this matter? – If there’s not many searches for “fave” or search intent is too generalized across users, than it doesn’t matter so much we’re getting weird search results.
- WHY do things rank like this? – Once we know it matters, I want to know what’s causing it to rank like that? There must be something beneath the surface.
- What can we learn from this? – Finally, it a cause is identified, how can we learn from this? What can we learn about the SEO research/diagnostic process? And are there any takeaways for leveraging the findings to apply to real life situations?
Links To Resources Used
Where Can You Find Me Next…?
March 19 – 23 – SES NYC. I will be part of a sponsored session doing a live site review and a case study. Exact day/time TBD.
April 2nd, 2012 – I will be at LinkLove Boston / Atlantic as an attendee. You should come!!!
I’ll be branching out to YouMoz! Starting with an update to this post Rand did a while back on more weird Google results. Didn’t ask him, so hopefully he won’t mind