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Summize Brings Heatmaps to Shopping Search



I love it when other bloggers discover a new web site and then provide an in-depth analysis of it – it means that I can quickly pass on the information to you, dear reader, without having to think of new ways to say the same thing. :-)

Over at R/WW, Alex Iskold does an excellent job in reviewing a new shopping search engine that uses heatmaps – a la Crazy Egg or the Enquiro search studies. It’s called Summize and here’s the summary of how it works…

Summize’s infrastructure crawls user reviews all over the web and accumulates them together, into a single normalized rating database. The search results show the votes from this database using the heatmap.

It’s pretty slick and there’s no doubt that, as a user, it’s very easy for me to scan the heatmaps and instantly tell if the product is well favored or not.

Here’s how it looks…

Very simple – red is negative, green is positive.

I’m impressed with how new companies are finding ways to innovate. Yesterday, we saw how Imagini was using imagery to find a niche in social networks and today, Summize is demonstrating there is still room for innovation in shopping search.

  • http://www.jasonblogs.com Jason Schramm

    Very nice use of the feature, though I think I would prefer a pie chart.

  • http://www.grokdotcom.com Bryan Eisenberg

    The question for me here is if these heatmaps are easier for the consumer to digest and comprehend than an overall score. I guess time will tell.

  • http://www.marketingpilgrim.com Andy Beal

    Bryan – good point. When I see 8.9 out of 10, I have a good understanding of what that means. Maybe it doesn’t work on a product level but perhaps on a research level. For example, a heat chart that allows me to compare the sentiment of HD DVD vs BlueRay might be a good use of it.

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