How many times have you asked yourself and your team, “which of my data is most important to each of my KPIs?”
Take, for example, the concept of customer lifetime value (CLTV) – an important KPI for any business. Of course, revenue, campaign exposure, online behaviors, frequency, recency, and other data will impact CLTV, but can you determine exactly which data was most predictive of a high CLTV? Or, of all the data, which is of more relative importance in rank order? Can you tell your team that a specific campaign, behavior, event, or activity is mathematically proven to be more likely to deliver on your goals?
With an automated predictive analytics solution for the customer lifecycle, like Squark, the relationships in your KPIs previously hidden by human analysis become clear and provable – in just minutes with our explainability reports. They help you get to the “why” of the outcomes. When you understand the reason or the motivations, the next best action becomes clear.
The Explainable AI reports provided be Squark and determined by the project type (binary, multi-class, regression, or time series) and the specific algorithm used to generate your results.
With this data so easily constructed, new ways to operate and new decisions become obvious. Interested in learning more about how Squark can help you take your marketing to the next level and surpass your KPIs goals? Schedule a demo today.
Judah Phillips