Integrate within a streamlined marketing mix allocation workflow coupled with enhanced customer portfolio product mix and revenue data insight. Split by segment and vintage to access quick and comprehensive customer analysis.

Easily understand the revenue potential of each product cross-sell campaign and the customer-level analysis of the product portfolio. More precisely and efficiently allocate marketing spend alongside powerful estimates of customer and campaign revenue.

Optimize marketing campaigns with fully explainable ML models. Generate targeted customer lists to engage on specific campaigns, measuring probability to purchase and expected revenue gain, adding precision to marketing ROI.

Govern and analyze the fairness of your model over time with simple diagnostics and a Responsible AI (RAI) framework. Leverage the framework to quickly integrate checks across the entire process.
Learn more about governance with dataiku

Generate immediate and actionable results with the step-by-step Project Setup. Quickly load your customer product data and customer data and get started through a few steps.

Accelerate business adoption and scale across activities, brands, and geographies. Have full confidence in each step of the process through the solution’s extensive documentation, fully open code, coupled with built-in diagnostic tools.

The Dataiku Solution for NBO for Banking helps answer a broad range of questions like: How can I improve my marketing campaign and make it less expensive and more targeted? How can I customize my campaign for a given customer? How can our marketing campaign for financial products be quickly scaled on other markets, but still be adopted for particular region specificities?
Read the documentation on next best offer for banking

Quickly develop and scale impactful NBO approaches before multiplying revenue by delivering lead scoring, smart segmentation, customer lifetime value, and more. Dataiku enhances the efficiency of your marketing campaigns and advisory activities through intelligent targeting, product offer personalization, and in-depth customer insights.