Category Analytics

“Generation N” – Your B2B and B2C Loyalty Programs Need to Change

“This isn’t about how B2C or B2B organizations respond in times of crisis. It’s about people-to-people interactions and how organizations learn from disruption at a human level.”  ~ Brian Solis For years I’ve watched the loyalty industry (consumer and B2B)… Continue Reading →

5 Steps to Better Incentive Program Design (and none of the steps have anything to do with incentives.)

To paraphrase my father – “Anything worth doing is worth doing simply.” He may have said “is worth doing well” but I think that may be a sub-set of what I wrote. Too often when faced with an objective/goal we… Continue Reading →

Report The Success – Not the Metric

What do I mean by that? Simple. We are fond of reporting facts.  “X number of units sold.” “20% increase in sales.”  But what does that mean? Not much. And, as it relates to COVID-19 reporting, simple numbers generally make… Continue Reading →

Do We ALWAYS Need Return on Investment?

In today’s hyper-analytic, big-data business world Return on Investment (ROI) is axiomatic. Don’t even think about running a marketing program, or designing a program, or even thinking about a program before you’ve proven an insanely positive ROI.  But is that… Continue Reading →

When Looking Backward is the Best Way Forward

I love this quote from Douglas Adams, of Hitchhikers Guide to the Galaxy fame: “We all like to congregate at boundary conditions. Where land meets water. Where earth meets air. Where bodies meet mind. Where space meets time. We like… Continue Reading →

If Everyone Else Jumped Off a Bridge Would You?

Don’t Confuse Good Results with Your Design Decisions

At What Point Do You Throw in the Towel on Engagement?

Can you believe there was a time in medical history when medical practitioners didn’t wash their hands? When cleanliness wasn’t a “best practice?” True story. Washing hands wasn’t a routine issue back in the mid-1800s. The idea of washing hands… Continue Reading →

Why I don’t really like the whole analytics and big data thing in HR

  It’s been something in the back of mind, wound tight, ready to spring with the right trigger – the feeling this whole mad, headlong rush into big data and predictive analytics for HR isn’t right. Isn’t human. I haven’t… Continue Reading →

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