PERSONALISATION THAT DOESN’T SCALE

Every message could be personal. Only a few of them are.

Real personalisation needs a decision for every customer, on every send, at a scale no team can make by hand.

Plinc pairs customer data expertise with a platform built to make those decisions automatically, so relevance doesn’t depend on how much time your team has left this week.

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SOUND FAMILIAR?

The top 1% get a beautifully tailored campaign. Everyone else gets the same generic send.

Building ten versions of one email

Eats the week that should have gone into the next campaign.

Trading wants everyone to see the same hero product.

Relevance wants something different for each person. Someone has to lose, and it’s usually relevance.

The personalisation roadmap keeps slipping,

Because it always needs “just a bit more resource.”

None of this is a lack of ambition. It’s what personalisation looks like when every version has to be built by hand.

WHY THIS HAPPENS

Personalisation gets treated as a content problem.

It’s actually a decision problem.

The usual response to “make it more personal” is to build more versions: more segments, more variants, more briefs. Each one is manageable on its own. Multiply it by categories, channels and customers, and the maths stops working long before the ambition does.

The insight into what belongs in front of each customer already sits in the data. What’s missing isn’t the insight, it’s a way to apply it to every customer without a person deciding each case by hand.

Personalisation isn’t short of good ideas. It’s short of a way to apply them at scale.

 

WHY IT MATTERS

Manual personalisation costs the time it was meant to save.

Every generic send undoes a little of the work your best campaigns do to earn attention. Every hour spent hand-building one more variant is an hour not spent on the strategy behind it. And the default version, the one nobody had time to personalise, is the version most of your customers actually see.

Personalisation was supposed to save time by targeting better. Instead it costs time nobody has.

 

A BETTER STARTING POINT

Relevance, applied automatically, at scale.

Every customer sees content chosen for them, not built for them by hand. Categories, products and messages are ranked by what each person is genuinely likely to want, and that ranking applies itself across every send.

Your team spends its time on strategy and creative direction, not stitching together the fortieth variant of the same campaign. Personalisation stops depending on how much spare capacity marketing has this month.

See how we’d make relevance automatic

HOW WE GET YOU THERE

Hands-on expertise.

Relevance without the extra headcount.

Trading wants reach. Marketing wants relevance. Personalisation is usually where those two collide, and one side quietly wins. Unilyze, our purpose-built platform, scores every customer against what they’re actually likely to want, so relevance and reach stop being opposites and personalisation stops depending on extra headcount to deliver.

That scoring turns straight into what each customer sees, without a person building each variant by hand:

Category Affinity Model

Predicts what each customer wants most, so newsletters and content follow genuine interest without hundreds of manual versions.

Product Recommendations

Surfaces the right products for each customer, on email and web, without merchandising every message by hand.

Generative Content

Extends the same customer intelligence into the message itself, drafting relevant copy for a person to review, not replacing them.

You’re not left to run a personalisation engine alone: our team sets up the models and stays close as your team’s role shifts from building every variant to directing what matters.

Discover Unilyze, our single customer view

Explore personalisation

Proof, Not Promises

Relevant, at scale, in the real world.

View all case studies

Ways to Start

Personalise one send properly. See what changes.

You don’t need a personalisation engine to find out what this is worth. Growth Labs is our risk-free pilot, and it follows a simple shape:

Step 1
Pick a send

Together we choose one recurring campaign or newsletter that currently goes out one-size-fits-all.

Step 2
See what the data says

We score your customers against what each of them is genuinely likely to want.

Step 3
Personalise it

The send goes out shaped by that scoring, without your team building extra versions by hand.

Step 4
Compare the results

You see it next to the generic version, then decide what happens next.

Find out about Growth Labs

Ready to make relevance the default?

Let’s talk it through. No pitch, no pressure, just a conversation about where personalisation currently costs too much time, and what making it automatic would be worth.

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