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Anticipate behaviours.

Predictive marketing: analysing past customer data to predict future behaviours.

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Our approaches

Customer data analysis
Predictive analytics
Purchase / Renewal
Upselling / Churn

You need to

Maximise sales — build dynamic segmentation, identify profiles most likely to respond to specific offers, tailor messaging by customer type.

Predict churn — identify cancellation patterns, uncover the levers to prevent it, analyse customer service conversations to improve advisor scripts.

Reduce risk — identify at-risk customers (payment default).

Maximise ROI — deliver the right offer to the right customers at the right time, identify the most relevant prospecting channels.

Project examples

For a gift experience company

The challenge

Optimise the performance of a telephone prospecting campaign.

The solution

CRM database enriched from SIRENE open data, commercial performance segmentation over 4 years, reachability modelling on the first outbound campaigns.

The result

Recommendations to adapt call strategy and prioritise the most strategic segments by prospecting channel.

For an energy supplier

The challenge

Improve reachability and collection rates for customers with overdue payments.

The solution

Daily predictive scoring model on new overdue customers to adapt the collections process to different customer profiles.

The result
+40% reachability · +27% collections

+40% reachability, personalised journeys, +27% collections.

Let’s talk about your
project.