Premier League Personalization with Adobe: The Value Is in the Timing of the Message
I confess that when I read a personalization case with enormous numbers, my first impulse is suspicion. Millions of people, hundreds of millions of messages. Very nice, but what changed for one specific person?
Today I review the Adobe and Premier League case, with a hook that interests me: Fantasy. The sport changes to English football, and the question is the same one I asked myself in my experiment on the 2025 NFL Draft with three AIs: what information do you use and at what moment?
What Adobe says happened
According to the Adobe blog (published September 2, 2026 and signed by Nathan Hancock), a year ago the company was named the league's official creativity partner and official digital experience partner for fans. Two things are worth keeping in mind from the start: it is a commercial partnership, and the one telling the case is the partner itself.
According to Adobe, the basis of the personalization is Adobe Experience Platform, with Real-Time CDP, Journey Optimizer and Customer Journey Analytics to connect data, audiences and journeys across the web, the app and Fantasy Premier League (FPL). This is what Adobe reports for the 2025/26 season:
Prompts to create a team. Journey Optimizer showed pop-up messages on the web and in the app so fans would build their FPL team. According to Adobe, 34% of those who interacted with the prompt created a team. Those who only saw it, without clicking, were almost three times more likely to create one than the general audience.
Communications for each matchweek. They were personalized with data from the fan's team, such as captain choice, total points and relevant news. Adobe speaks of 5.5 million unique fans per matchweek and more than 200 million personalized communications over the season. Those who clicked viewed almost twice as many web pages as those who did not.
Invitation to receive messages from the clubs. With behavioral signals, the league detected when a fan showed interest in a club and made the invitation at that moment. According to Adobe, four times as many fans saw the request and opt-ins rose 81%.
How I read the numbers on Adobe's Premier League personalization with a clear head
Everything comes from a single text, written by Adobe, with a quote from a league executive. Will Brass, the Premier League's chief commercial officer, says in that blog: "At the Premier League we believe in relevance through connection, and the Adobe tools allow us to engage with our fans around the world via digital platforms to an extent that wasn’t previously possible." I found no independent source that checks the figures.
There are questions the text leaves open:
34% of how many people? What counts as "interacting"?
81% more opt-ins compared with what? With the previous version, with a control group, with another season?
"Almost three times more likely" compared with a general audience that perhaps never even reached that screen?
My suspicion, and it is only a suspicion, is that someone who sees a prompt about creating a team was already closer to creating one than the average fan. If so, part of that advantage comes from who was already interested. Also, 5.5 million per matchweek and 200 million communications measure reach. Knowing what people did afterward is a different measurement.
What I take away: when yes and when no
My reading is that the value is in the timing of the message. Look at the two clearest examples in the text. One arrives when the deadline to build your team approaches. The other, when the fan shows interest in a club. In both, someone decided when to speak and with what data.
When it works to think this way:
When there is a moment with a deadline or a clear signal of interest.
When you have data of your own that matters to the person, such as their captain or their points.
When you can compare against a group that did not receive the message.
When not, or not yet:
If all you know about the person is their email, personalizing stays at putting the name in the subject line.
If you are not clear on consent to use that data.
If you cannot measure against a starting point, because any nice number stays without context.
I am left with one uncomfortable question for your team: do you know which moment in your customer's life is worth a message? If you do not, no platform is going to decide it for you.
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