Growth Labs by Plinc

A faster way to make change happen. Proven before you scale it.

A fixed-fee pilot programme for CRM teams who want to try something new properly, and quickly. Without waiting for a full programme to get signed off.

The framework is fixed, but the business question is yours. The result is not a generic deck. It’s evidence built around the hypothesis you chose to test.

See example pilots    How it works

Knowing what to change is
the easy part.

01

You can see the CRM opportunities: better targeting, smarter automation, real revenue tracking. But the day-to-day keeps swallowing the time to act on them.

02

Real change usually means a big programme. And a big programme is slow to stand up, hard to resource, and slow to prove anything while BAU still has to run.

03

Growth Labs is built for that gap. A scoped, fixed-fee pilot that lets you make a change and see if it works, without putting BAU on hold.

What it is

A pilot-first model built for how CRM teams actually work.

Fixed scope and fixed fee, built around your existing stack and designed to drive change without the complexity of a full programme.

 

Start with a real question

Every Growth Lab starts with a discovery sprint. Whether you already have a hypothesis or need to surface one, we pressure-test it and design a pilot to prove it out.

Live within a quarter, not stuck on a roadmap

From kick-off to a live pilot in 8 to 12 weeks. You start gathering real evidence while a full programme would still be in planning.

Low-risk by design

At the end of the pilot, it’s a simple go/no-go. If it worked, you scale with data behind you. If it didn’t, you stop. Either way, you have more clarity than you started with.

Fixed fee. No lock-in. No surprises.

One price covers scoping, build, launch and measurement. You know exactly what you’re committing to before you sign anything.

How it works

From question to evidence in
four stages.

A structured process, but fast. We bring the expertise and the toolset. You bring the question.

2 weeks

Value discovery

[Available on its own]

Identify challenges and opportunities. Map your capabilities. Agree on the highest-value hypothesis to test.

2 weeks

Data orientation

Identify the minimum viable data needed. Access and onboard it quickly, within your existing infrastructure.

4 – 8 weeks

Pilot build & launch

Plinc expertise and proprietary toolset activated. Predictive models, automated measurement, audience logic. All set live.

Decision Point

Go / no-go

Scale what worked, adapt the approach, or stop. Either way, you leave with real evidence and a clearer picture of what to do next.

Live in weeks

In market while a programme is still scoping

Fixed scope

Efficient and focused, not boiling the ocean

In your stack

No rip and replace required

Scale if proven

Invest further only when results show

Example Pilots

The kinds of questions
Growth Labs is built for.

Each pilot begins with a business hypothesis.
Here are three examples of what that looks like in practice.

“Who are our best customers, really? And which ones are we about to lose?”
“Will scaled email personalisation actually increase revenue, or just complexity?”
“How do I prove CRM is actually driving revenue, not just correlating with it?”
The Pilot

Predict each customer’s likelihood to return and their forecasted spend. Track value trajectory over time.

 

What the pilot produces

A predictive customer-value model and a working segmentation, ready to use in your stack.

The Pilot

Predict each customer’s category interest. Dynamically personalise multi-category communications accordingly.

 

What the pilot produces

A category-propensity model, personalisation logic, and a live campaign test measured against a holdout.

The Pilot

Test incrementality measurement across first-party targeted campaigns using automated holdout methodology.

 

What the pilot produces

An automated holdout-testing setup with campaign and segment level reporting, built to run beyond the pilot.

Decision outcome

Scale the model into your broader CRM programme, or refine targeting before committing further budget. Either way, you leave with a validated picture of customer value that didn’t exist before.

Decision outcome

Scale personalisation across the full programme if revenue uplift is proven, or stop and redirect the investment. The pilot gives you the incremental revenue evidence to make that call confidently.

Decision outcome

Adopt the measurement framework permanently and use it to justify future investment, or refine the methodology before scaling. You leave with a cleaner picture of what CRM spend is actually generating.

What you leave with

Not a deck. Not a strategy. Evidence.

The output isn’t standardised. It’s tied to the business question you chose to test. But across every Growth Lab, you leave with the same things.

Evidence tied to a real hypothesis

Data and learnings specific to the business question you started with. Not generic recommendations.

Measured commercial impact

Actual performance data from your own customer base and your own campaigns.

Clarity on what to do next

Scale, adapt, or stop. The evidence is there to justify whichever direction you choose.

Operational understanding

A working view of what your data, tools and team can support going forward.

A stronger internal case

Real results from your own environment. The kind of proof that lands with senior stakeholders and finance teams.

Decision confidence before scale

Investment decisions backed by evidence, not projection. Validated learning before larger commitment.

Case Study

Represent: from data questions to investor-ready insight.

 

The challenge
Represent wanted clearer insight into customer value, shopping behaviour, promotions, loyalty and CRM opportunities. And they needed to move fast.
The approach
Plinc rapidly onboarded core data and ran focused analysis sprints, flexing scope around Represent’s evolving priorities rather than locking into a fixed brief.
The output
An RFV segmentation framework and recommendations for audience planning, targeting, promotions, loyalty and CRM strategy. Compelling enough to land with C-suite and investors.

Ready to find your first
hypothesis worth testing?

Download our pilot guide. Five CRM hypotheses worth testing, with example pilot structures and what each one sets out to prove.

Get the pilot guide