Individualize

The contents

ARTICLE RECOMMENDATION

MEDIA

Recommend the right items at the right time for each customer

Context

The objective of this test was to identify for each reader the 5 articles that are most likely to interest him in order to be able to push them to him in his mobile or web application and in his marketing communications. Moonfish's recommendation algorithm is based on past browsing data to combine predictive approaches to appetite and Lookalike within the brand's readership base.

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Objectives

• Increase the click rate on email campaigns
• Increase reading time on the site and the mobile application

Implementation

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

• A population to whom a newsletter was sent including a selection of recommended articles
• A control population for whom the selection consisted of generic items

‍

+ 50%

number of clicks from the first newsletter

+ 6%

Reading time from the 1st newsletter

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Data sources

Nomber of parameters

1520

Set-up duration

8 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.

Scale-up on CRM personalization with Moonfish