Gener8 Ad Blocker
Unlocking Customer Value with Personalization
Platforms
Web, Mobile App
Driving Loyalty & Revenue with AI-Powered Personalization
Challenge
In the Philippines, many customers maintain multiple accounts across different banks because of promotional perks like fuel discounts or travel rewards. For this bank, that meant they often weren’t the “primary” bank for their customers, even when they held payroll accounts. Customers would move their salary out as soon as it landed, leaving little room to cross-sell additional products.
The bank’s marketing approach was broad and generic – sending the same offers to everyone. This created fatigue among customers and didn’t improve the product-to-customer ratio.
Solution
The bank needed to understand their customers better. By analyzing behavior - such as salary deposits, spending patterns, and savings habits - they could identify whether they were the primary bank for a customer. From there, they could recommend the “next best product” at the right time, whether it was a credit card, a micro-loan, or an investment product.
How Innovify Helped
- Built an analytics engine using Python, Spark, and MLlib.
- Created a next-best-product recommender with reinforcement learning.
- Deployed via REST APIs into the bank’s mobile app.
- Set up real-time triggers with Apache Kafka.
Technology used
Results
- 35% increase in cross-sell conversions within 6 months.
- Product-to-customer ratio improved by 20%.
- Customer engagement up 50%.
- Net Promoter Score improved by +12 points.
