Predictive Upselling

Predictive Upselling

Build better predictive upselling models based on customer behavior by unlocking previously inaccessible datasets for analysis.


  • Semi-structured customer data across dozens of data stores.
  • Deploying a data analyst to each location too costly while centralizing risks regulatory concerns and losing consumer insights in context.
  • Existing ML models poorly account for small but impactful variances in upgrade demand after different product and service releases.


  • Devron works with data science teams to train sophisticated algorithms on decentralized data.
  • Data Science teams gain additional insights on customer behavior while keeping PII safe at the source.
  • Real-time insights allow Sales to adjust upgrade offers 67% faster to predict and respond to new release demand.


Greater Customer Wallet Share
Increased Revenue
More Data for Analysis
Reduced Time to Insight