NOTE: You can right-click all images to view a larger version. Left-click to go to data source.
As arbitrary as they often seem, “35 percent of what consumers purchase on Amazon come from recommendations” — McKinsey
The big disconnect
While people value good recommendations, most (7%) rarely click on one from a site because 93% find them irrelevant.
Yet, those 7% who do click on a recommendation amount to 24% of orders and 35% of Amazon’s revenues.
The very small percentage of site visits (7%) that resulted in a click on a recommendation is testament to the irrelevance of most recommendations.
It is probably NOT a coincidence that a Digital Marketing study published in 2015 –3 years before the graphic, above — found that 93% of users say that offers are NOT relevant regularly or all the time.
Suboptimal: Even Amazon mostly fails
“There’s a collective belief within the e-commerce industry that Amazon’s recommendation engine is a suboptimal solution,” — Trisha Dill Fisher, Wells Fargo analyst.
Dill Fisher: ‘”it’s hard to fault Amazon for their recommendations,’ but she also says the company has a lot of work to do in offering users items more relevant to them. As an example, she points to a targeted email she received pushing a chainsaw carrying case. (She doesn’t own a chainsaw.)”
Optimizing via big data personalizations
Consumers Find Personalized Ads ‘Creepy,’ But Still Want Meaningful Interactions — [a]list
“75% of consumers find most forms of personalization at least somewhat creepy”— In Moment: 2018 CX Trends Report
More Personalization Perils – The $756 Billion Penalty
Personal Data- Personalization Perils – Legal and Regulatory
Beware “Son of GDPR!” EU privacy czars are crafting something even stricter!
Needed: A new paradigm
Recommendation Insights is in touch with a Canadian development company which has developed a completely new paradigm that dramatically raises accuracy and relevance far above current methods using collaborative filtering, clustering techniques and other “state of the art” technologies. According to the company, the new algorithm reduces the reliance on big data and is GDPR compliant.
More information will be forthcoming. To make contact with this “stealth mode” company, email Lewis Perdue
Some background reading
The statistics behind your Amazon recommendations
Deconstructing Recommender Systems How Amazon and Netflix predict your preferences and prod you to purchase
Why Sites Are Getting Personalization Wrong (and How to Fix It)
Internet Adoption Slows, E-Commerce Grows: Mary Meeker’s 2018 Trend Report