Infusing AI in Media & Entertainment with Dataiku

Advanced Customer Segmentation

Execute more complex, machine learning-based customer segmentation thanks to Dataiku’s ability to seamlessly connect to any data source (whether that data is structured like CRM data or unstructured like social media data) and create quick models using AutoML. For example, Betclic uses Dataiku to  help business teams better understand the customer, including looking at whether users are active or not, new accounts or older accounts, and how long users stay idle before returning. Then for marketing purposes, the Betclic teams use this segmentation (and Dataiku) to predict the customer’s next action for more precise targeting and increased revenue.

Customer Lifetime Value
& Churn Prediction

Develop churn prediction models that can identify potential churners with 80%+ accuracy using Dataiku, plus turn around and use the platform to develop uplift models, making those predictions actionable and deciding which customers should be treated with — and would best react to — marketing materials.

Fanalists, a data and marketing agency that works for the sports, media, and entertainment industries, uses Dataiku to help its clients build appropriate customer segments to be used in their marketing initiatives. They enabled one client specifically, a pro cycling team, with a model to create new revenue streams and change business models as well.

Hyper-Targeted
Marketing & Advertising

Dataiku offers the possibility of seamlessly combining data from different sources (whether internal or external, structured or unstructured) in one place, which allows companies to look at their customers as a whole and deliver unique, hyper-targeted offers. 

Infopro Digital, which provides business-to-business digital media outlets with advertising space, used Dataiku to transform its organization around data and deliver one of the most advanced business-to-business advertising targeting engines on the market.

Trend & Sales Forecasting

Residual payment forecasting, trend forecasting, sales or monetization and payment forecasting — adopting a machine-learning based strategy with Dataiku means more complete and accurate forecasts across all departments. For example, Ubisoft leverages Dataiku for advanced, cross-comparative analysis of customer behavior and market knowledge to predict consumer trends and generate actionable business insights.