Anticipate

The risk

Of inactivity

CHURN TO THE SUBSCRIPTION

MEDIA

Send the “last chance” offer at the right time

Context

The objective of this test was to detect the characteristic behaviors of a future churner early enough in order to be able to send him retention offers at the right time. Based on behavioral data from web browsing and reactions to campaigns, the churn algorithm made it possible to measure the risk that a customer had of unsubscribing before their next due date.

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Objectives

• Reduce churn rates by activating retention offers at the right time for each customer
• Maximize the ROI of retention offers by avoiding sending them to customers without the risk of churn

Implementation

Two populations have been isolated in order to be able to be compared:

• A population for whom an offer was sent if the risk level exceeded a certain threshold
• ‍A white population to whom no retention offer has been sent for 1 year

-12%

On the churn rate after 1 year

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Data sources

Nomber of parameters

1520

Set-up duration

10 days

Update frequency

Monthly

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I have custom tools within my information system, how can I connect them to Moonfish?

We have an exposed and fully customizable API so that we can connect Moonfish to any tool. We also provide our team of Data Engineers to assist you in this setup.

I am in an industry where real-time is crucial, how can I ensure that my metrics stay up-to-date?

From the Moonfish interface, you can control all your metrics and directly set their update frequency.

How is Moonfish not just another tool my teams will have to learn to use?

Moonfish has been designed to seamlessly integrate with your business processes. In this regard, the interface provided is accessible from your existing tools and is not intended to be used on a daily basis. It allows you to control all your metrics and quickly create a new one if needed.

For whom is Moonfish built?

Moonfish enables CRM teams to create indicators that suit their upcoming marketing needs, making them the primary users. However, the interface also provides results to aid in understanding and explaining the algorithms that calculated the indicators. Therefore, Data teams can also access it to analyze the results.

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