Last week at the SMX East conference in New York, I both sat in on sessions concerned with Google’s Panda algorithm updates and spoke on one of them. One thing which really struck me is how extraordinarily unified fellow search marketing experts were about both the causes and solutions to sites which were impacted by Panda! Each marketer spoke about improving sites’ quality, usability, and overall user experience (“UX”).


Panda photo by J. Patrick Fischer, CC BY-SA 3.0

For those of us who have been following Google’s evolution over time, the Panda updates actually weren’t all that surprising. For me, the emergence of Panda seemed very familiar, harkening back to perhaps as far back as 2006 when Google clamped down on affiliate sites. At that same time, Henk van Ess revealed how Google was hiring on temporary quality evaluation staff to rate search results. In Google internal documents which van Ess exposed, the evaluators were instructed to give poor ratings to spam content, porn ranking on inappropriate keyword phrases, and “thin affiliate content”. It became clear very quickly that the negative human ratings for “thin affiliate content” were related quite closely to the virtual penalization that many affiliate sites experienced at that time.

What Google was focusing upon in reducing the ratings of “thin affiliates” were instances where a search results page would be filled up with links to pages which all had virtually the same content, and where those pages often weren’t the final destinations of the people who landed upon them (obviously, with most affiliate sites one clicks-through to the actual retailer’s site where more information could be found and orders could be placed). From Google’s perspective, it was a poor user experience for there to be millions of pages indexed which had all essentially identical content and which often edged out other more-worthwhile pages which consumers might prefer.

From all of the information around the “Panda” Updates, it seems highly likely to me that Google is continuing to leverage their human quality evaluator staff, along with a number of other automated metrics which they could also incorporate in determining quality of pages. Continue reading →