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Download the slides from all of our speakers from the London Causal AI Conference!

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Customer Retention

Traditional, correlational, machine learning approaches often fail to improve customer retention

We brought to market the first operating system for decision making powered by Causal AI, decisionOS, to empower enterprises to optimise their customer retention strategies

Traditional machine learning approaches often fail

to address key customer retention questions

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Correlation, not causation

Spurious correlations lead to bad decisions

 

Read more on our blog:
How can AI discover cause and effect

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They struggle to answer why

And are often perceived as “black boxes”

 

Read more on our blog:
Explainable AI doesn’t explain enough

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Prediction, not next best action

For example, they can predict if customer is predicted to churn but can’t recommend the next best action to retain the customer

Read more on our blog:
From predicting to Influencing

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Do these questions sound familiar?

Enterprises run on causal questions

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What are the root causes of churn?

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What is the next best action (intervention) to retain customers that are predicted to churn?

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What is the best strategy and resource allocation that balances retention & profit margins across the business?

See the solution in practice

Interactive Example

License our platform to answer these questions using Causal AI

Discover cause-effect relationships within your customer data

Discover cause-effect relationships in your customer data by combining the best of domain knowledge with data-driven, statistical, approaches

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Build Causal Models

Discover causal models, based on cause-effect relationships and causal graphs, that can robustly predict if a customer is likely to churn as well as unlock interventions and counterfactuals

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Make better decisions with Decision Intelligence Engines

Leverage our pre-built engines on top of your causal models to:

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Perform powerful what-if analyses and estimate counterfactual scenarios

Understand the impact of of a given action on customer LTV

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Design next best actions

Decide how to interact with a given customer to minimize the chance of churn

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Test the fairness of your models

Assess how fair the model is with respect to gender

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Build Decision Apps

Leverage Dara, our app building framework, to seamlessly deliver beautiful, interactive decision making applications to the marketing & executive teams

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Monitor and optimize retention decisions with decisionOps

Build, deploy & monitor your decision workflows while attributing KPI performance to the appropriate actions whether that’s yours, your competitor’s actions or the macro-economic environment

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Customer Case Study: Client Retention

customer churn

North American pension plan improved beneficiary satisfaction and increased retention by 17% using decisionOS powered by Causal AI

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Understanding Sales Drivers

Causal AI at Nestle

Proven value in weeks

Request your free trial now, and we’ll get you started on your Causal AI journey. Within weeks, you can answer your company’s critical business questions and drive improvement in your KPIs.

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    Answer business-critical questions. Within weeks.

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    Ongoing Support

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