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A$942k in incremental revenue, once the numbers could be trusted.

Peter Jackson, an Australian menswear brand, wanted to scale but could not trust its own numbers. The attribution was double-counting, so the spend could not be believed. Fixing the attribution reconciled every dollar to real revenue, and the restructure it made possible, rebuilding the funnels around winning new customers, is what drove the growth.

A$942k
in incremental revenue, once the attribution was trusted and the funnels were rebuilt around new customers.
3,880orders tracked and reconciled to real revenue
peterjacksons.com
Peter Jackson homepage
01 / The challenge

Spend that could not be trusted, so it could not be scaled.

Peter Jackson had a healthy business and an established brand, and wanted to scale. The problem was that the numbers underneath the growth could not be believed.

The attribution was double-counting. The same sale was being credited more than once, so the reported return was inflated and no one could say what a dollar of spend was actually producing. When the measurement cannot be trusted, scaling is a gamble: every extra dollar might be buying real growth, or paying to re-count revenue the business already had.

So the first question was never how much to spend. It was whether the numbers guiding that spend reflected reality at all, and where the real growth, new customers rather than repeat buyers already coming back, was actually coming from.

02 / The approach

Fix the attribution, then rebuild the funnels around new customers.

Nothing could be decided until the numbers were honest. The work started with the measurement, then used the clean picture to restructure how the account acquired customers.

Fixed the attribution

The double-counting was found and corrected, so every sale was credited once and reconciled to real back-end revenue. For the first time the reported numbers matched what the business actually banked, and a dollar of spend had a return the team could stand behind.

Restructured the account on what it revealed

With trustworthy attribution, the account could be rebuilt around what was genuinely working rather than what the inflated numbers had implied. Budget followed real, reconciled performance instead of double-counted signal.

Rebuilt the funnels around new-customer acquisition

The clean data showed the real opportunity was in growth, not in re-buying customers already coming back. So the funnels were restructured to prioritise new-customer acquisition over repeat targeting. Winning genuinely new revenue, rather than paying to re-attribute existing sales, is what produced the incremental result.

Incremental revenue unlocked
A$942k
New revenue the business could attribute with confidence, once the funnels were rebuilt around winning new customers.
Reconciled to real back-end sales, not double-counted signal.
Cost to acquire a customer, before and after
BeforeA$25.77
AfterA$21.01
As the funnels were rebuilt around new customers on trustworthy data, the cost to acquire one fell by A$4.76. Bars scaled to the real before-and-after cost.
03 / The results

A$942k in new revenue the business could finally trust.

Once the attribution was honest, the account could be pointed at real growth. Rebuilding the funnels around new-customer acquisition turned trustworthy measurement into A$942k of incremental revenue, reconciled to what the business actually banked, at a lower cost to win each customer.

A$942k
Incremental revenue, reconciled to real back-end sales.
3,880
Orders tracked and counted once, not double-counted.
A$21.01
Cost to acquire a customer, down from A$25.77.
New
Funnels rebuilt around new-customer acquisition over repeat targeting.
Cumulative incremental revenue A$0 A$300k A$600k A$900k A$942k Start Engagement End
Incremental revenue compounded as the funnels were rebuilt around new customers on attribution the business could trust. Curve modelled from the real anchor.

The gain came from the measurement, not from spending more. Honest attribution showed where the real growth was, the funnels were rebuilt to win new customers rather than re-count existing ones, and A$942k of revenue followed that the business could actually stand behind.

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