Predictive Upselling
Marketing

Predictive Upselling

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

Challenge

  • 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.

Solution

  • 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.

Outcomes

↑
Greater Customer Wallet Share
↑
Increased Revenue
↑
More Data for Analysis
↓
Reduced Time to Insight
↓
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Train highly efficient promotional recommendation algorithms to improve customer recommendations and optimize purchase behavior.

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