So in my last post, I re-introduced the concept of my intelligent shopping agent. The foundation for the agent could be built by querying the consumer and analyzing past buying behavior. But that’s just the start. The focus of this post will be indicators (beacons?) which provide a deeper lever of understanding into a consumer’s tastes, and thus can start to intelligently make recommendations. That’s part of the point of the agent. It should always be on the lookout for potential products, deals, offers, sales, new trends, and more which might interest you.
Indicators:
-Search. This is a pretty easy one to understand. If you search for ‘red cashmere sweater’ or ‘cuisinart blender’ it makes sense that you might be interesting in acquiring those products. The intelligent agent will start to learn about brands or products that you’re interested in by these simple queries. But the value of search for the agent doesn’t end there. Search queries can make up a very complete picture of your life. We don’t typically think about this on a daily basis, but privacy advocates obviously do. Through my searches, the agent can figure out my socioeconomic status (Wealth. Am I searching for high end goods or coupons? Education. Am I searching for worldly issues or more pedestrian facts and figures? Occupation. Am I searching for computer courses or fundraising tactics?) It can determine my life stage (Am I searching for mortgages? Am I searching for a wedding planner? Am I searching for a SAT prep course? Am I searching for the AARP? Am I searching for income comparisons between two different cities?). There are some generalizations in there, but the idea that your searches can tell a lot about you and who you are today or who you’ll become tomorrow can be pretty powerful, especially when combined with other indicators. Interesting to note that Facebook doesn’t have complete search information.
Posted by Brian Smith