Curious How AI Can Improve Customer Retention?

Searching For Solution
More businesses than ever are turning to artificial intelligence to improve their customer retention effectiveness. Organizations are turning to AI in order to better predict how likely a customer is to churn and how best to retain them.

But here’s the bad news: so far, AI has been a disappointment for many businesses. According to a recent survey by MIT-Sloan and the Boston Consulting Group, 65% of companies report seeing no value from their AI investments. Even among organizations that have made “significant investments” in AI, 40% report no business gains from AI.

There are many reasons companies have failed to see business gains from traditional AI, including:

Users have access to a single AI predictive model that is tied to a specific set of business conditions. When conditions change, the model cannot dynamically respond.

Users are not able to define their business assumptions or cost-benefit tradeoffs to determine how to best allocate their limited resources.

End users cannot easily incorporate their feedback resulting in a less optimized model.

With business conditions constantly changing, you need to quickly figure out:

How does changing how and in what way you try to retain customers affect the likely outcome.

Which offers you should make and who you should contact to maximize renewals, upsell, and retention given that different customers have different value to the business and different likelihood to respond to offers.

How much you need to invest in retention efforts to maximize ROI and how you can quickly adjust your customer retention strategy to compensate for changing economic circumstances.



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Aible's Unique Approach to a Typical Customer Retention Use Case

Why Aible For Customer Retention Optimization

What is needed is a fundamentally new approach to AI; an AI solution that provides an OPTIMAL AI model tuned to your unique business needs, one that is always optimized, even as business conditions change. 
Traditional AI falls short, but there is a solution...

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See how Aible optimizes customer retention bookings in a time of rapid change.

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Popular Customer Retention Use Cases: 

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Customer Churn Prediction
Determine which customers are more likely to churn

Customer Retention Optimization 
Know which offers to make and who to contact to maximize renewals, upsell, and retention

Strategic Planning
Understand what factors drive your customer retention so you can improve quickly

Scenario Planning 
Prepare for best case, worst case, and everything in between automatically with AI

Hypothesis Testing
Increase customer retention by investing in the right activities to maximize ROI

Aible is the only AI solution that goes beyond predictions to enable you to optimize and anticipate. Aible lets you consider hundreds of shifting market factors and gives you the optimal recommendations to maximize business impact and ROI.

Aible can predict the probability that a marketing promotion will convert, but since not all prospects are equally valuable and marketing assumptions and prospect behavior can change - you need a strategy that can adjust quickly.

Aible lets you balance resource constraints to determine the optimal resource allocation across multiple promotions and buyer segments so that you always target the promotions that add the most business value. 

As market conditions and customer preferences change across products and regions, Aible tells you how you can quickly adjust your marketing strategy to compensate. Aible provides an efficient frontier of many models versus a single fragile model, ensuring you use the right model given the circumstances.

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