When it comes to maximizing customer lifetime revenue, transaction analytics are bread and butter, but containing the cost and leveraging repeatability can be challenging. In Atlas, transaction analytics start as soon as you import the relevant data and continue on to propensity and revenue modeling out-of-the-box.
Atlas offers streamlined model creation for two classes of cross-selling situations:
- Cross-Sell First Purchase: Model to Sell a Product Bundle into a Customer Segment that hasn’t bought it before
- Cross-sell Repeat Purchase: Model to Sell a Product Bundle into a Customer Segment that has lapsed
Platform-side, your data is aggregated with time-series signals matched to your business cycle. These signals capture buying patterns that are shown to predict next-cycle spend.
In the UI, simple wizards help business ops or data analyst users build highly-targeted AI models. First, point to the Segment you want to target within. If this is a strategic business segment, Atlas will surface the right Accounts for your selling scenario. If this is a refined campaign segment, Atlas will rank the Accounts and project propensity. Either way, your Ratings can be used to drive revenue acceleration.