Ecommerce & Retail · Growth problem

Rising customer acquisition costs

Rising CAC rarely shows up as a single alarming number — it tends to creep, quarter on quarter, hidden inside platform dashboards that each report their own channel favourably. The more useful question is what blended CAC has done across the whole acquisition budget, what it costs relative to contribution margin per new customer, and whether the business has simply exhausted the cheapest available audience.

Symptoms

What this usually looks like

  • New customer numbers are flat or falling despite rising media spend
  • Individual platforms report stable or improving ROAS while overall marketing efficiency worsens
  • Cost per acquisition has been rising steadily over several quarters
  • The business is relying on an increasing share of branded search spend to hit targets
  • Contribution margin per new customer is shrinking even as CAC rises

Diagnostic questions

What we would test first

  • Reconcile blended CAC (total marketing spend ÷ total new customers) against each platform's reported CAC
  • Split paid search spend and CAC into branded and non-brand cohorts
  • Calculate new-customer contribution margin at first order, by acquisition channel
  • Run a spend-level incrementality check on the largest paid channel to estimate marginal CAC
  • Compare CAC trend against repeat-purchase rate trend to check for a retention-driven acquisition dependency
  • Review average discount depth applied to new-customer first orders over time

Root causes

Why it happens

  1. 01

    Audience saturation in core paid channels

    The most responsive segment of any audience is typically reached first. As spend increases, the marginal customer being acquired costs more because the platform is reaching further down a less receptive audience, which shows up as rising CAC even with unchanged targeting or creative.

  2. 02

    Blended CAC diverging from platform-reported CAC

    Platform-reported CAC is calculated within that platform's own attribution window and often excludes overlapping influence from other channels. Blended CAC — total spend divided by total new customers, reconciled across all channels — is frequently 20–50% higher than any single platform suggests, and is the number that actually matters for margin.

  3. 03

    Branded search spend inflating apparent new-customer efficiency

    A rising share of paid search budget spent on the brand's own name captures demand that would likely have converted organically, making overall paid CAC look artificially efficient while genuine non-brand acquisition cost is rising underneath it.

  4. 04

    Promotional discounting eroding contribution per new customer

    If new customers are increasingly acquired through discount-led campaigns, the CAC number itself may be stable while contribution margin per acquisition falls, which has the same commercial effect as CAC rising.

  5. 05

    Retention decline forcing greater reliance on acquisition

    If repeat purchase rate is falling, the business needs to acquire more new customers just to hold revenue flat, which increases pressure on acquisition spend and can look like an acquisition efficiency problem when the root cause is retention.

Evidence

The numbers we would look at

These are the metrics that make the constraint visible, and the cuts that stop them being reassuring by accident.

Metrics for this problem
MetricWhat it tells you
Blended CAC (all channels, reconciled)The true cost of a new customer, not the favourable version reported by any one platform.Recalculate quarterly against finance-confirmed new customer counts.
New-customer contribution margin (first order)Shows whether the business can absorb current CAC levels, or is acquiring customers at a first-order loss with no clear payback plan.Contribution after product cost, fulfilment, and payment fees — not gross revenue.
Branded vs non-brand paid search spend and CACSeparates genuinely incremental acquisition from harvested existing demand.Branded CAC will always look better; the trend in non-brand CAC is the real signal.
CAC payback period (in months or orders)Determines whether acquisition spend is a sound investment given the repeat-purchase curve.Segment by acquisition channel and by first-order category.
Marginal CAC at current spend levelsIdentifies whether the next pound of spend is still profitable, or whether the channel has reached its ceiling.Requires incrementality or spend-level testing, not just historical average CAC.
New customer volume trend by channelDistinguishes rising cost per customer from a genuine fall in acquisition volume.Absolute volumes alongside cost, not cost in isolation.

Measurement traps

What can mislead you

Looks fineOur platform-reported ROAS is stable, so CAC isn't really rising
Platform-reported ROAS reflects that platform's own attribution logic and typically excludes cross-channel overlap. Blended CAC calculated against total spend and total new customers is the figure that reflects actual business economics.
Looks fineBranded search is our most efficient acquisition channel
Branded search converts existing brand awareness at low cost by definition — it is rarely creating new demand. A rising reliance on branded search spend to hit new-customer targets usually indicates weakening non-brand acquisition, not genuine efficiency.
Looks fineCAC is flat, so acquisition is healthy
A flat CAC alongside falling contribution margin per new customer — often from deeper average discounting to hit volume targets — represents the same underlying deterioration in acquisition economics.

Outcome

What better looks like

Not a promised number. A clearer basis for the next investment decision.

  • Leadership tracks blended CAC as the primary efficiency metric, with platform figures used only as a channel-level diagnostic
  • New-customer acquisition decisions are made against contribution margin and payback period, not CAC in isolation
  • The business knows, with reasonable confidence, whether the next pound of acquisition spend is still profitable
  • Branded search spend is understood as harvesting existing demand, not treated as evidence of efficient growth

Where a Growth Diagnostic would start

A three to four week senior review across demand, discovery, acquisition, conversion, retention, measurement and capability — sequenced so this problem is either confirmed as the constraint or ruled out early. Read alongside the ecommerce & retail model page for how we frame the wider system.

Ecommerce & Retail growth consultancy

Questions about this problem

Do we need to pause spend to test incrementality?
Not necessarily a full pause — a geo holdout, a controlled spend-level test, or a scheduled reduction in a specific channel or region is usually enough to estimate marginal CAC without materially disrupting revenue.
Can this be done without access to raw platform data?
Standard exportable reporting from ad platforms, GA4, and finance-confirmed order data is normally sufficient; direct account access is helpful but not always essential.
Is rising CAC always a problem that needs fixing?
Not always — if contribution margin per new customer and payback period remain acceptable, rising CAC can simply reflect a maturing channel that the business has correctly chosen to keep funding. The diagnostic is about establishing that with evidence, rather than assuming either way.