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Maximize revenue by predicting future customer value

March 30, 2023/2 min read

Understand customer base distribution

Get accurate CLV predictions from historical transactional data. Connect RFM scores from the Dataiku RFM Segmentation Solution through Snowflake, Google Cloud Platform, or your choice of data environment with the Project Setup.

Understand Customer Base Distribution

Unlock deep customer insights

Turn transactional data into actionable insights with a comprehensive dashboard. From past trends to forecasting, ensure full alignment between data experts and marketing specialists with outcome-focused visualizations.

Check out the insights dashboard

Unlock Deep Customer Insights

Understand clv shifts over time

Define customer groups based on low, medium, or high CLV with quantile or k-means clustering. Quickly understand how CLV groups change over time, then share findings with the larger team.

See the solution in action

Understand CLV Shifts Over Time

Forecast future clv

Explore how much value customers create over time, then align different approaches to fit customer needs, predicting future CLV. Analyze the CLV of valuable customers and compare to other clusters, and compute monthly CLV increases to show shifting customer dynamics.

Go to the trend exploration dashboard

Forecast Future CLV

Optimize acquisition & targeting

Understand predicted values and trends for CLV clusters, perform what-if analysis, and track model performance and results with the Data Science Validation and Business Insight dashboards. Benefit from a fully explainable approach to machine learning with eased adjustment, customization, and extension possibilities to adjust to your business specificities.

Explore the gallery project

Optimize Acquisition & Targeting

Answer key customer value questions

The Dataiku Solution for CLV Forecasting helps answer a broad range of questions like: What are the high-value customers whose value is likely to decrease in the next months? What are the one-time customers that will most probably not be receptive to the next promotional offer? What are the mid-value customers whose value could be increased if they were exposed to the right content/offer? How can I integrate customer metadata to answer those key questions? How can I get more frequent predictions of CLV over time?

Read the documentation on customer lifetime value forecasting

Answer Key Customer Value Questions

From clv forecasting to comprehensive ai-enriched marketing strategies

The Dataiku Solution for CLV Forecasting is just the start. Quickly tap into more Dataiku Solutions and build customer analytics and AI use cases to rethink your entire marketing strategies, leveraging data and AI at every step.

Discover the full capabilities of dataiku

Request a demo from a Dataiku industry expert

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