Home/Work/Case study
DTC / Health$30K–$60K / month
Case Nº 06 · DTC · Meal Delivery · Health

CAC $102 → $74 While Scaling Spend

CAC cut 27% while ad spend scaled simultaneously. Two audiences. Two strategies.

Client
A Life Plus
Industry
DTC · Meal Delivery · Health
Monthly budget
$30K–$60K / month
Focus
Acquisition · Efficiency
Key result Verified outcome
$102→$74
27% lower CAC while scaling spend
$102→$74
CAC
27%
CAC reduction
Scaled
Spend simultaneously
$30–60K
Monthly budget

CAC fell from $102 to $74 — while spend scaled.

CAC fell from $102 to $74 while ad spend scaled simultaneously — the combination that most campaigns can't achieve. The audience separation was the primary driver: health buyers and NDIS buyers responded to completely different creative angles, and once separated, both tracks improved independently. The Shopify first-order data integration revealed that 34% of previous 'conversions' were repeat purchases — meaning the true new-customer CAC before the rebuild was even higher than $102.

$60$75$90$105$120$74$102Wk 0Wk 2Wk 4Wk 5Wk 6Wk 8
Blended new-customer CAC
Challenge

Two audiences, one campaign

Health buyers and NDIS-funded customers targeted identically — diluting relevance across both.

Approach

Two tracks, two strategies

Separate campaign architectures per audience, Tier-A creative testing, and Shopify first-order CAC tracking.

Outcome

$74 CAC, scaled spend

CAC down 27% while ad spend grew simultaneously — the combination most accounts can't hit.

01 The problem

A Life Plus is an Australian DTC meal delivery brand targeting two very different audiences: health-conscious consumers looking for low-carb meal plans, and NDIS-funded customers purchasing through government disability support programmes. Despite consistent ad spend of $30K–$60K/month, customer acquisition costs had climbed to $102 and scaling further would have been unprofitable. The core problem: both audiences were being targeted with a single undifferentiated campaign approach — same creatives, same messaging, same landing experience. The buying motivations and decision triggers for a health-conscious shopper and an NDIS participant are completely different, and treating them identically was diluting creative relevance across both segments.

Two audiences, two worlds.

Health buyers and NDIS participants buy for completely different reasons. Treating them the same was the leak.

01

Audience separation

Split acquisition into a Low-Carb Reset track for health buyers and a compliant NDIS track — each improving independently once separated.

02

Tier-A creative testing

Launched multiple hooks per audience, scored by CAC, and scaled winners within the same week rather than waiting for month-end.

03

Hard CAC ceilings

Set spend thresholds and CAC limits per ad set with automatic pause rules for any creative breaching the ceiling within 48 hours.

04

Shopify first-order tracking

Connected first-order purchase data back to Google and Meta — revealing 34% of prior 'conversions' were repeat buyers.

Separation that paid.

Customer acquisition cost−27%
Before
$102
After
$74
Ad spendScaled up
Before
Baseline
After
Scaled
True new-customer signalCorrected
Before
66% real
After
100% real

03 The results

CAC fell from $102 to $74 while ad spend scaled simultaneously — the combination that most campaigns can't achieve. The audience separation was the primary driver: health buyers and NDIS buyers responded to completely different creative angles, and once separated, both tracks improved independently. The Shopify first-order data integration revealed that 34% of previous 'conversions' were repeat purchases — meaning the true new-customer CAC before the rebuild was even higher than $102.

Eight weeks, two funnels.

Tracking → separation → testing → scale.

Weeks 1–2

First-order tracking

Connected Shopify first-order data to ad platforms, exposing repeat-purchase contamination in CAC.

Weeks 3–4

Audience split

Built two distinct tracks — Low-Carb Reset and a compliant NDIS funnel with appropriate landing pages.

Weeks 5–6

Tier-A testing

Ran multiple hooks per audience, scored by CAC, and scaled winners inside the week.

Week 7

CAC ceilings

Automatic pause rules enforced per-ad-set CAC limits, protecting efficiency as spend grew.

Week 8

$74 CAC at scale

CAC settled at $74, down 27%, while spend scaled simultaneously.

What A Life Plus kept.

Documented, portable, and owned by the client not locked inside our account.

  • ✓Two-track campaign structureSeparate funnels for health and NDIS.
  • ✓Tier-A testing frameworkHook testing scored by CAC.
  • ✓Shopify CAC integrationFirst-order data wired to ad platforms.
  • ✓CAC-ceiling automation48-hour auto-pause rules.
  • ✓NDIS-compliant funnelMessaging and landing pages that comply.
  • ✓Creative hook libraryWinning angles per audience.

04 Why it worked

Reducing CAC while scaling spend is the benchmark that separates good campaigns from excellent ones. Most accounts achieve one at the cost of the other. The audience separation was the strategic unlock — two audiences, two worlds, two distinct campaign architectures. The Tier-A creative testing system ensured winners were found fast and scaled immediately, rather than waiting for statistical significance at month-end.

”
Splitting our two audiences was the unlock. We dropped CAC by a quarter and scaled spend at the same time — I didn't think both were possible.
AL
Founder
A Life Plus
Professional Services
<CA$4
Cost per WhatsApp
Smart Tax Professionals · Case Nº 07

WhatsApp Lead Gen at Under CA$4 Per Conversation

Cost per WhatsApp under CA$4. AI creative rotation kept it there automatically.

Read the case study→

Want results like these?

Book a free 20-minute Revenue Leak Audit. We'll review your campaigns, identify the biggest leak, and write you a plan same week.

  • Free 20-minute call with a senior strategist
  • Written audit summary within 5 business days
  • Clear plan, prioritised by revenue impact
Book a free audit →