Addictable | There’s Context Hiding in Your Data
Addictable uses AI to increase customer loyalty without the use of surveys
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There is context hiding in your data

There’s Context Hiding in Your Data

So, we were doing some reading the other day, and came across this little nugget from the New Science of Customer Emotions (HBR):

Identifying and measuring emotional motivators is complicated, because customers themselves may not even be aware of them. These sentiments are typically different from what customers say are the reasons they make brand choices….

In other words customers don’t really know why they do the things they do.

In other, other, words, actions speak louder than words.

The fact you’re here suggests you want to create a better experience for your customers and are likely more intelligent than the average Joe. You probably have a hunch that when it comes to customer loyalty programs and understanding sentiment, most companies should apply some fancy data-diving AI instead of inundating customers with surveys.

But, where does one find that fancy data-diving AI?

Well, that answer is: Addictable.

Addictable unmasks contextual insight. Through deep data-mining our super-intelligent robots identify nano-patterns that correlate to customer sentiment and future behavior. It then uses these findings to develop predictive models to provide brands insight they can act on.

And, who uses Addictable?  

MLM’s use Addictable products to prevent distributor defection.

Subscription-based enterprises use Addictable to identify at-risk profiles and increase customer loyalty through intuitive interactions.

CX professionals apply Addictable models to determine who will respond to their surveys, or in many cases, eliminate their dependency on surveys altogether.

Basically, if your loyalty efforts depend on surveys, your customer retention programs are under-performing, and your “insights” are cloudy…