Episode 88 - You’ve hit the CRM ceiling. Now what?

Welcome to Episode 88 of the Retention Blueprint. 

There's a conversation I keep having with CRM and lifecycle leaders at high usage recurring revenue businesses. It usually starts the same way.

They walk me through their programme.

It's good.

Sophisticated segmentation, multi-stage journeys, personalised triggers, a rigorous A/B testing cadence.

And then they tell me churn is still too high.

Or value growth is not what the budget needs it to be.  

But they're not wrong about what they've built. 

The program is sophisticated. 

What CRM 2.0 actually is

Journey-based CRM, which most mature teams run today, is built on a core assumption: that you can model your customer base well enough to design the right sequence of communications for each type of customer.

You identify your segments. 

You map the moments that matter.

You build the journeys. 

You optimise.

And it works.

Up to a point.

The ceiling arrives when you've done all of that well, and the number still isn't moving.

When you've added another branch to the journey, refined another segment, and the improvement is marginal. When your CRM is sophisticated, and your churn is stubborn, or customer value growth is stubborn. 

That ceiling isn't a sign that you've failed. 

It's a sign that you've hit the limit of what journey logic can do.

The problem with the average

In a recurring revenue business where usage drives retention, a customer who opens the app twice a week and saves one thing is a different retention challenge to a customer who opens five times a week and never saves anything.

They might sit in the same segment.

They might be on the same journey.

They experience your product completely differently.

One of them is quietly deciding the subscription isn't worth the price.

The other is engaged but behaviourally stuck.

The right intervention for each of them is different. The right timing is different. The right channel is different. The right message is completely different. The sequence of messaging is different. The problem you actually resolve is different. 

Journey logic can't handle that level of complexity. It approximates. And at scale, approximation leaks revenue, erodes margin and churns customers.

What's above the ceiling

CRM 3.0 isn't a better journey. 

It's a different architecture.

Instead of designing a journey for a segment, you build an agent that watches each customer individually,  their usage patterns, their engagement signals, the rate at which they're moving away from the behaviours that correlate with retention and intervenes before drift becomes intent.

Not because they missed a trigger. Because their behavioural fingerprint is changing.

The agent doesn't fire when someone hasn't opened the app in seven days. It detects that this particular customer is opening less frequently than they were last week, that their session depth is shrinking, that they've stopped saving content, and it acts when the drift starts, not when it's already late.

The action space is broader, too.

Not just which message to send.

Which channel.

Which offer.

Whether to re-engage first and discount/bonus later.

Whether to flag the account for a human to review.

Whether to outbound.

Whether several messages together in quick succession is better than a daily or less frequent sequence.

What the right sequence is in this moment.

Whether human intervention is the only thing that will work.  

And it learns.

What worked for similar customers in similar drift patterns informs the next decision.

The system gets smarter every week.

What this means for you

If you're leading retention at a recurring revenue business, where usage = retenetion and your lifecycle programme is mature, the question worth asking isn't "how do we optimise the journeys."

It's "have we hit the ceiling of what journeys can do."

For most teams running sophisticated CRM, the answer is yes.

Or at very least, there is only a small amount more they can do. 

The good news: the capability to move beyond it already exists.

The data infrastructure, the AI tooling, the agent frameworks.

Most enterprises already have access to the components.

The question is not technical, it’s actually strategic. Because if you are running Google, AWS, or Azure, you already have the agentic toolkit, you just are not deploying it in CRM yet. 

Is this what Optimove / Braze / Airship are doing? 

No. But it works perfectly well with those products. 

This is not about buying new tools. 

This is about designing action spaces and building better systems that account for how customers actually behave, using tools you already have. Typically built on your foundational tech, like AWS, Azure or Google.

Then, leveraging tools like Optimove, Airship, or Braze for the final mile.

Want to go deeper? 

If you want to learn more about this, reply to this email. I have several resources available, including a recording of my recent private briefing on retention agents. 

I’m also running 4 agent design sessions over the next 2 weeks. These are complementary, but extremely specific to your context. Email me back, and I’ll share two questions to see if you are a fit.

Work in igaming CRM? 

If you work in igaming CRM,  I'm running a short agentic AI for retention session in late May. I'll walk through how agentic AI can help igaming teams:

1. Detect player behavioural drift before defection signals appear, reducing bonus dependency and increasing customer value.

2. Collapse the gap between full end-to-end lifecycle strategy development and execution, moving execution from months to days or weeks, without sacrificing quality.

If you’d like to join, reply to this email, and I will reserve you a spot.

One last thing 

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Until next time, 

Tom 

Tom Burrell is a retention strategy consultant with 26 years of retention & CRM experience, formerly SVP of Retention at DAZN, Head of CRM at Manchester United, and Global CRM Director at Digitas. He has spent the last decade working with businesses where usage = retention, across sectors such as streaming, igaming, sports, and subscription apps. He works with ExCo teams and CRM Directors on structural retention strategy and agentic CRM design.