CAN’T PROVE WHAT’S WORKING

Every channel says it won. They can’t all be right.

You’re running the campaigns. What’s missing is a reliable way to know which ones actually earned the result, rather than just being the closest thing to it when it happened.

That distinction is where Plinc lives: customer data expertise, backed by a platform built to measure what actually changed.

Talk to a customer data specialist

SOUND FAMILIAR?

Every dashboard tells a different story, and somehow they’re all the winning story.

Email says it drove the sale.

Paid says it drove the sale. So does the store.

The monthly report

Takes longer to build than the campaign took to run.

Two teams walk into the same meeting

With two different numbers for the same campaign.

Budget renews for whichever channel shouts loudest

In its own reporting, not whichever one actually worked.

None of this is anyone lying. It’s what happens when every platform can only see, and only credit, its own slice of the customer.

WHY THIS HAPPENS

Every channel can prove its own case.

Nothing proves the whole one.

Most measurement happens inside the platform that ran the campaign, and every platform is naturally inclined to credit itself for anything that happens nearby. A customer who was always going to buy looks identical, in that report, to one the campaign genuinely persuaded.

Without a way to compare what happened against what would have happened anyway, every result looks like a success. The question stops being “did this work” and becomes “whose numbers do we believe,” which isn’t a measurement question at all.

It isn’t a shortage of reports. It’s a shortage of one report everyone believes.

WHY IT MATTERS

Not knowing what works doesn’t stop you spending.

It just stops you spending well.

Underperforming campaigns keep running because nobody can prove they should stop. Tactics that genuinely work don’t get scaled, because nobody can prove they’re the reason for the lift. Budget conversations turn into negotiations between departments instead of decisions based on evidence.

The money isn’t wasted. It’s just spent on confidence instead of evidence.

A BETTER STARTING POINT

One measure of what actually happened, that every team already trusts.

Results are attributed to the campaign that earned them, not the channel that happened to touch the customer last. Incrementality is visible at customer level, so you can see what a campaign changed, not just what occurred around it.

And because it’s built from the same customer data as everything else you run, it’s not a separate report to reconcile. It’s the number everyone already works from.

See how we’d measure what’s actually working

HOW WE GET YOU THERE

Hands-on expertise.

Proof instead of platform claims.

Every platform will happily tell you it worked. None of them can tell you what would have happened if you hadn’t run the campaign at all. Unilyze, our purpose-built platform, measures results against your customer data instead of against itself, so credit goes where it’s actually earned.

That shows up in three ways:

Campaign Analyzer

Measures what a campaign genuinely changed, not just what happened alongside it, so performance stops being a matter of opinion.

Customer Dashboards

One report, built from the same trusted data as the campaign itself, so teams stop arguing over whose numbers are right.

Future Value Model

Shows which customers and campaigns are actually worth the investment, so budget decisions stop being a guess.

Our analysts read the results with yours, so a number in a report turns into a decision in the next campaign.

Discover Unilyze, our single customer view

Explore campaign targeting and optimisation

Proof, Not Promises

Delivery, measured in days, not weeks.

View all case studies

Ways to Start

Measure one disputed number properly. See what holds up.

You don’t need to overhaul your reporting to find out what’s really driving results. Growth Labs is our risk-free pilot, and it follows a simple shape:

Step 1
Pick the metric

Together we choose a campaign or channel where the numbers are disputed or unclear.

Step 2
Measure it properly

We assess it against your customer data, isolating what it actually changed.

Step 3
Set it beside the platform’s version

You see our measurement next to what the channel itself reports.

Step 4
Decide what to trust

You see where they agree, where they don’t, and why, then decide what happens next.

Find out about Growth Labs

Ready to know what’s actually working?

Let’s talk it through. No pitch, no pressure, just a conversation about which numbers you currently trust, and which ones deserve a second look.

Start a conversation