Advanced Analytics

Predicting potential brand advocates in telecommunications

admin
14% uplift of referral-based acquisition since the launch of the programme. 8 weeks from data diagnostics to the first list of potential brand advocates among clients 10 000 pieces of user-generated content analysed additionally to understand why and when customers share good experiences The Business Problem Our client, a mobile network provider in Northern Europe, was facing the widespread challenge of slowing growth and rising acquisition costs. New entrants to…

Increasing insurance customers’ lifetime value with predictive upsell analytics

admin
8 weeks from diagnostics to model deployment and first results 28% increase of upsell success rate after the first 6 months 90% of customers likely to buy more Are precisely identified due to the high accuracy of the model​ The Business Problem A major British insurance company was facing a less than satisfactory upsell rate for their automotive insurance customers. Our Task We were tasked to come up with a…

Reducing mobile operator customers churn by 34% with predictive analytics

admin
500% ROI Of the customer rescue program in the 1st year after implementation​ 34% reduction Of the customer rescue program in the 1st year after implementation​ 92% of superdetractors Are precisely identified due to the high accuracy of the model​ The business problem UPC Switzerland, part of Liberty Global, had set up a successful customer rescue program. Call centre operators called proactively customers who had evaluated their satisfaction with the…