> L'Équipe sold a 34-month subscription at 2.24 euros a month for the 1,000-day Olympic countdown, then had to keep those readers. Of those reaching the 100-day marker, 75% were still paying

> They rebuilt the Financial Times RFV metric and changed recency to regularity. Their version weights content by editorial value, so a reader of live match feeds scores below one watching documentaries

> Subscribers themselves suggested the fix for good work getting buried: a monthly preview of what is coming, like a TV schedule. It lifted engagement scores 9% on site and 12% by email

> The ladder is stark. Former subscribers are 18 times likelier to resubscribe than members, and members 18 times likelier to subscribe than anonymous readers. 70% of returns happen within seven days of cancelling

> The surprise is that many lapsed subscribers accept a win-back offer at a higher price if it carries a one-year commitment. Retention without discounting, and lifetime value goes up

How do we (try to) measure and track user engagement ?

I’d already heard about RFV (Recency, Frequency, Volume) as an indicator from the Financial Times, and our version synthesizes subscriber and member activity, considering regularity and consumption.

Given L’Équipe’s years-long focus on a membership-driven strategy, we now have over 2 million active monthly members and subscribers, along with a significant amount of behavioral data for analysis.

The most complex phase of implementing this project wasn’t developing the formula but rather the iterative testing phase. This allowed us to refine the metric, replacing “Recency” with “Regularity.”

One of the initial conclusions (unsurprisingly!) was a clear correlation between customer lifetime value and engagement level.

The more we increase customer engagement levels, the more subscriber lifetime extends and the more members convert to subscribers

Why is this metric more accurate than page views or time spent?

It takes into account the regularity, frequency, and volume of content consumed, while adding a weighting based on the “importance” of the content: the greater the “value” of a piece of content in terms of editorial significance, revenue generation, and the time spent producing it, the higher its weight will be.

• Regularity, frequency, and content volume: factors in the weight of consumed content—giving more weight to editorially and financially valuable content.
• Frequency of visits: How often a user returns to the platform (both web and apps)
• Content diversity: The range of distinct content consumed
• Tenure: How long someone has been a member or subscriber
• Interaction with content: With higher weighting for Flagship content

For instance, a user who primarily reads “live match” content with low consumption of premium or flagship content will get a lower RFV than someone consuming more higher-value articles or documentaries.

Triple objectives to boost engagement (and of course retention!):

1. Increase recurrence
2. Improve frequency
3. Encourage consumption of high-value editorial content

Key insights from RFV analysis and actions taken:

#1 Correlation between app downloads and high RFV

We developed, in partnership with POOOL, various formats to promote app downloads.

#2 Email openers have higher RFV

We launched a newsletter project targeting subscribers with a low RFV (less than 25) —particularly those with weaker weekend engagement— to provide a weekend news summary and insights from our editorial team.

#3 Consuming Flagship content drives high RFV

Although we defined the content weighting in our algorithm, our initial analysis emphasized the importance of ‘original’ content in customer lifetime value.

By ‘flagship content,’ I mean the very best of L’Équipe — the finest work from our journalists, whether in the form of videos, podcasts, written pieces, or documentaries.

One of the challenges for a media organization is ensuring its content thrives on the homepage of the site. News moves quickly, one story replaces another, and an incredible piece can fail to reach its audience because it was showcased for too short a time, paired with an unclear image, or given a misunderstood headline.

To address this, we adopted an idea suggested by our subscribers: releasing a monthly preview of upcoming content, similar to how platforms present their programming schedules.

Both on site:

And in the newsletter:

These campaigns resulted in notable RFV increases:

• +9% for platform clickers
• +12% for email clickers

#4 Interactive features do have an impact on RFV (Especially for members)

We aimed to foster interactivity among readers. With over 500K monthly comments, the “comments” section on the platform is essential. So to maximize its value, the first step was to update the space with a redesign and new features, such as emoji reactions, AI-generated comment summaries, etc.

Our second objective was to foster greater proximity between audiences and the brand: bringing journalists and readers closer together to develop a sense of belonging. As part of the Olympic Games, we introduced several types of content, including Q&A sessions, which we plan to gradually roll out across our platforms.

> Going further with interactive engagement: DER SPIEGEL’s debating feature

Priority #2: Targeted retention and re-subscription offers in an marketing automated cycle

Prioritizing former subscribers in your strategy, especially reaching out to them within the first few days after they cancel, is crucial:

• 70% of re-subscribers re-engage within seven days of cancellation.Former subscribers acquired during promotions are particularly responsive to targeted relaunches with attractive pricing.
• On average, former subscribers are 18 times more likely to re-subscribe than members, while members are 18 times more likely to subscribe than anonymous users.

Retention and re-subscription scenarios:

We identified two main phases, each divided into distinct analysis periods:

Retention Period: The client has made his cancellation request but still has access and is informed of its impending end.

Re-Subscription Period: The client loses access, prompting relaunches during key periods:

• Day 0–7
• Day 8–30
• Day 30+

We deployed cycles of retention and re-subscription across all customer touchpoints:

• Cancellation form (called in France “loi MUPA”)
• Service-client cancellation confirmation
• Promotional messages on digital platforms
• Apps, push notifications, in-app messages
• Paid media

To achieve the highest possible results, we first implemented offers (initially the same for all users) across all customer touchpoints.

Spoiler alert: doing this across all channels and levers has a MASSIVE impact!

All this communication is coordinated using audiences created within our CDP, which are then shared with all our third-party tools.

A culture of testing as a growth driver

Over the past 18 months, we tried a growth marketing approach, which, in our terms, means ultra-personalization and precise targeting of our subscription messages, starting with our retention and re-subscription offers.

A multidisciplinary team (data, acquisition, and CRM) was formed to define targeting strategies and, more importantly, activate them across our platforms. Each step is tested, analyzed, and then optimized.

Among the initiatives:

• Over 300 campaigns tested annually, featuring variations on:
  • Marketing angles (what are the benefits? Content? Which words should we use to define the benefits?)
  • Pricing approach
  • Trial period and its price

In 2024, enhanced automation of campaigns enabled us to manage around 15 specific segments with tailored offers and messages. The primary advantage of this automation is its ability to significantly improve our conversion rates.

Key learnings from these tests:

• We discovered that a significant portion of former subscribers are quite receptive to retention offers at higher price with commitments that do not negatively impact our ARPU but instead come with a one-year commitment.
• This approach meaningfully increases the LTV of our subscribers and, by extension, boosts our margins.

Thanks to these strategies, 75% of customers who reached the -100 days mark of their promotional offer period are still subscribers as of November 2024.

Romain L'hote is Marketing Director of L'Équipe, the emblematic French sports newspaper with a daily digital readership of 2.5 million, and over 190,000 subscribers to its paid digital offer. Subscriber acquisition is, as it is for many, at the heart of its monetization strategy. Today, Romain shares how, by trial and error, his team managed to halve acquisition costs on advertising platforms, while increasing both attribution and last-click subscriptions.