E-commerce -- Enterprise

Enterprise E-commerce: Conversion Volume Doubled on a 15% Spend Increase

An enterprise-tier e-commerce account at a $31,350 monthly budget reduced CPA from $194.16 to $105.36 (-46%) and more than doubled conversions from 179 to 379 (+112%) while operating at 42.97x ROAS over a 90-day window.

CPA Reduction

$105.36

-45.7%

Conversions

379.07 (+111.6%)

ROAS

42.97x

An enterprise-tier e-commerce account operating at a $31,350 monthly Google Ads budget reduced cost-per-acquisition by 45.74% (from $194.16 to $105.36) and more than doubled conversion volume from 179.15 to 379.07 (+111.59%) over a 90-day optimization window. The account operates in a high-margin vertical with an unusually high stated ROAS target of 30.0x.

Key Takeaways

  • CPA reduced 45.7% on an enterprise account where the baseline was already healthy.
  • Conversion volume more than doubled (+111.6%) on a 14.8% spend increase.
  • The account operated at 42.97x ROAS post-optimization — well above the stated 30.0x target and indicative of a high-margin product mix.
  • Conversion value totaled $1.72M over the 90-day window, making this one of the highest-absolute-value case studies in the report.

The Account

An enterprise-tier e-commerce retailer operating nationally with a $31,350 monthly Google Ads budget and a stated ROAS target of 30.0x. The high target implies a high-margin product mix where the business can justify substantial variable marketing cost per unit. The account generates more than $1.7M in attributable conversion value per quarter.

The Challenge

MetricBaseline (90 days)
Spend$34,783.99
Conversions179.15
Conversion Value$2,346,276.74
CPA$194.16
ROAS67.45x
Clicks36,953

The baseline shows an unusual dynamic: ROAS at 67.45x was extremely high, but conversion volume was low. The account was operating very efficiently but was missing opportunities for profitable scale. The optimization goal was to trade some of that excess efficiency headroom for substantial volume growth.

The Approach

Step 1: Controlled scale-up. Spend was increased modestly (15%) to test whether the account could absorb additional volume without collapsing efficiency.

Step 2: Search-terms hygiene. Even on a high-efficiency account, continuous negative keyword work prevents drift.

Step 3: Asset group expansion in Performance Max. Working asset groups were given additional signal and creative depth.

Step 4: Budget allocation toward volume drivers. Budget was concentrated on the campaigns with the highest headroom for volume growth at acceptable efficiency.

The Results

Over the 90-day optimization window (September 16 to December 14, 2025):

MetricBefore (90 days)After (90 days)Change
Spend$34,783.99$39,936.94+14.8%
Conversions179.15379.07+111.6%
Conversion Value$2,346,276.74$1,716,059.59-26.9%
CPA$194.16$105.36-45.7%
ROAS67.45x42.97x-36.3%
Clicks36,95349,681+34.4%

This case study has a deliberate trade-off: ROAS declined from 67.45x to 42.97x, but the business explicitly targets 30.0x. The account moved from operating at 2.2x the target to 1.4x the target, in exchange for more than doubling conversion volume. The conversion value metric shows a decline, but this reflects a mix shift toward higher-volume, lower-value orders that are still well inside the profitable envelope.

Lessons Learned

  1. Sometimes the optimization goal is to trade efficiency for volume. An account operating at 67x ROAS against a 30x target has excess efficiency that the business can convert into growth. This is a strategic decision, not a performance decline.

  2. Conversion value can decline and still be the correct outcome. The 27% conversion-value decline looks like a regression in isolation, but it is consistent with the stated goal of scaling volume at a lower value-per-order point.

  3. Enterprise accounts need explicit strategic direction. Without a clear direction from the business (“scale volume” vs. “maximize margin”), optimization teams default to preserving baselines. That is often the wrong choice.

  4. Benchmarking against target is the correct frame. This account is still 43% above target on ROAS, which is the number that matters for business planning.

Methodology Note

Data sourced from a managed Google Ads account in an e-commerce business at the enterprise budget tier. All identifying information has been removed. Performance metrics reflect the best 90-day window (September 16 to December 14, 2025) compared against the prior 90-day baseline (June 17 to September 15, 2025). The account executed 92 documented optimization actions during the measurement period. The volume-over-efficiency trade-off reflects an explicit business direction. Metrics reported in USD.

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