Enterprise Home & Garden: 58% Conversion Growth, $1.3M Quarterly Value

An enterprise-tier e-commerce account in the Home & Garden vertical operating at a $20,000 monthly Google Ads budget reduced cost-per-acquisition by 32.71% (from $41.70 to $28.06) and grew conversion volume by 57.93% (from 6,624.88 to 10,462.93) over a 90-day optimization window. ROAS lifted from 3.44x to 4.62x, moving above the stated 2.5x target and generating $1.36M in quarterly conversion value.

Key Takeaways

• Over 10,000 conversions in a single quarter — the highest absolute volume in this report.
• $1.36M conversion value generated over the 90-day window.
• CPA reduced 33% on a high-volume enterprise account where efficiency gains are hardest to find.
• Conversions grew 58% on only a 6.3% spend increase — a dramatic efficiency improvement at scale.

The Account

An enterprise-tier e-commerce retailer in the Home & Garden vertical operating nationally at a $20,000 monthly Google Ads budget. Stated target ROAS is 2.5x. The account runs multiple Performance Max campaigns alongside Search campaigns and generates thousands of conversions per month.

At this scale, most optimization playbooks assume efficiency is already close to the achievable frontier. This case demonstrates that is often not the case.

The Challenge

Metric	Baseline (90 days)
Spend	$276,231.74
Conversions	6,624.88
Conversion Value	$949,052.85
CPA	$41.70
ROAS	3.44x
CTR	2.29%

ROAS at 3.44x was 38% above the 2.5x target, but the team identified additional headroom in the form of waste within specific campaigns. The goal was to extract that headroom without disrupting the stable core of the account.

The Approach

Step 1: Campaign-by-campaign audit. On an enterprise account, the optimization cannot be a blanket review — each campaign has its own structure, budget, and performance curve. The team audited each independently.

Step 2: Selective negative keyword work. 4 terms flagged across 4 campaigns in a single session — the spread-thin pattern typical of a well-structured account that has no single major waste source.

Step 3: Asset expansion. 14 new assets were added in a single session, refreshing creative depth in the Performance Max campaigns.

Step 4: Modest spend increase. Only 6% incremental spend, tested against the efficiency gains.

The Results

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

Metric	Before (90 days)	After (90 days)	Change
Spend	$276,231.74	$293,541.70	+6.3%
Conversions	6,624.88	10,462.93	+57.9%
Conversion Value	$949,052.85	$1,355,464.08	+42.8%
CPA	$41.70	$28.06	-32.7%
ROAS	3.44x	4.62x	+34.3%
Clicks	202,913	209,305	+3.2%
Impressions	8,862,200	12,642,313	+42.7%

Conversion volume growing at 10x the rate of spend growth (+58% vs. +6.3%) is the signature of substantial latent efficiency unlocked by structural optimization. This account was operating well below its achievable efficiency ceiling despite looking healthy on paper.

Lessons Learned

1. Large accounts are not automatically optimized. An enterprise account at $276K spend per quarter looks mature, but this one had more than 30% CPA headroom. The assumption that scale implies efficiency is often wrong.

2. Spread-thin waste is still waste. Four flagged terms across four campaigns in a single session does not sound like much. Over 90 days, these small actions compound into the 30%+ efficiency gains shown here.

3. Creative refresh matters on Performance Max. 14 new assets in a single session refreshes the algorithmic learning loop and prevents the slow fatigue that accumulates in high-volume asset groups.

4. Small spend increases prove out efficiency claims. The 6% incremental spend was enough to confirm that efficiency gains held at higher volume, without risking the baseline.

Methodology Note

Data sourced from a managed Google Ads account in the Home & Garden vertical operating 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 75 documented optimization actions during the measurement period. Metrics reported in USD.