A decade ago I watched vendors of site search solutions teach customers new skills: how to manage synonyms and common misspellings, how to identify poorly performing searches and improve them, how to change their content to produce better search results, how to create and manage rules to control search, how to offer the right navigationContinue reading “3 Automation Questions for Recommendations Solution Providers”
Tag Archives: Solutions
Graphdive: Sociable Personalization
Not long after my Facebook initiation, I tried to access it from a hotel room far from home. Facebook felt it needed to verify my identity by showing me photos of three “friends” and asking me to identify them. The “friends” were all classmates from schooldays decades in the past: I couldn’t even match theirContinue reading “Graphdive: Sociable Personalization”
Top 5 Factors in Choosing a Recommendation System
I have published detailed requirements for recommendations systems, with at least a hundred questions you should consider when evaluating a solution. But a hundred details is not where you want to start your technology selection process. You start by narrowing your focus to find your most likely partners. I think there are just five factorsContinue reading “Top 5 Factors in Choosing a Recommendation System”
Certona’s Resonance Personalization Platform: Saving Retailers’ Wetware
Today’s marketers suffer from incomplete digital marketing platforms. They need many tools to support marketing functions across the channels and touchpoints their customers use. In fact, the current solution landscape offers too many tools, each its own silo. The result is that marketing teams find themselves using an artisanal marketing platform. Artisanal + food =Continue reading “Certona’s Resonance Personalization Platform: Saving Retailers’ Wetware”
How to Evaluate Recommendation Solutions
When I undertake to evaluate a technology, I start with customer requirements. I formalize and publish these requirements freely to all in what I call an evaluation framework. This helps me compare the capabilities of multiple solutions, objectively and consistently. When I evaluate a vendor solution, I start by identifying the solution’s capabilities against eachContinue reading “How to Evaluate Recommendation Solutions”
SOLUTION REVIEW: PEERIUS
This post is a brief summary of my in-depth analysis of Peerius, published in a Patricia Seybold Group report in June 2012. The evaluation is based on my Recommendation Solution Evaluation Framework, which details 100+ criteria in 7 categories. It is available as a free download here. London-based Peerius was founded in 2007 by RogerContinue reading “SOLUTION REVIEW: PEERIUS”
SOLUTION REVIEW: PREDICTIVEINTENT
This post is a brief summary of my in-depth analysis of PredictiveIntent, published in a Patricia Seybold Group report in May 2012. The evaluation is based on my Recommendation Solution Evaluation Framework, which details 100+ criteria in 7 categories. It is available as a free download here. PredictiveIntent was founded in 2009 by Neil HamiltonContinue reading “SOLUTION REVIEW: PREDICTIVEINTENT”
SOLUTION REVIEW: ADOBE RECOMMENDATIONS
This post is a brief summary of my in-depth analysis of Adobe Recommendations, published in a Patricia Seybold Group report in August 2012. Adobe is a $4B software company with more than 100 products that it groups into two families: digital marketing and digital media. Adobe’s target markets are marketers and developers in every industry.Continue reading “SOLUTION REVIEW: ADOBE RECOMMENDATIONS”
YOU CAN’T BUY PERSONALIZATION
Vendors, especially vendors of recommendation systems, are selling personalization. Vendors can’t actually deliver personalization. In order to personalize the customer experience, your company needs strategy, organization, metrics, policy, practices, and skills. It needs a willing end user, one who doesn’t mind that you are collecting information about him, however anonymously and transiently. A really greatContinue reading “YOU CAN’T BUY PERSONALIZATION”
On Target 