Regional Tech & SaaS Lead Generation: CPA Down 29% on a Premium Target

A professional-tier lead-generation account in the Technology & SaaS vertical operating regionally at a $10,000 monthly Google Ads budget reduced cost-per-lead from $650.13 to $459.96 (-29.25%) and grew conversion volume from 34 to 42.50 (+25.0%) over a 90-day optimization window. The account remains above its $300 target but closed the gap by nearly a third.

Key Takeaways

• CPA reduced 29% from a distressed baseline where leads were costing more than 2x the target.
• Conversion volume grew 25% while total spend declined 12%.
• Account operates in a high-value B2B segment where each lead can justify a substantial acquisition cost ceiling.
• A single search-terms review surfaced 47 flagged terms across 3 campaigns with potential savings of $162 — demonstrating the continuous hygiene needed in this vertical.

The Account

A professional-tier Technology & SaaS lead-generation account operating regionally at a $10,000 monthly Google Ads budget with a target CPA of $300. The account serves a B2B audio-visual services business where leads are high-value but relatively scarce, making efficient acquisition critical.

The Challenge

Metric	Baseline (90 days)
Spend	$22,104.27
Conversions	34.00
CPA	$650.13
CTR	5.35%
Impressions	66,535
Clicks	3,557

At $650 CPA, the account was more than double its $300 target. B2B services advertising typically requires aggressive query filtering to avoid wasting spend on information-seekers who will never convert.

The Approach

Step 1: Deep search-terms audit. The team identified 47 flagged terms across 3 campaigns in a single review session, with immediate exclusion applied.

Step 2: Segmented search audits. Separate reviews for “Search Dyn - Residential” and “Services” campaigns produced 15 and 10 flagged terms respectively, with exclusions applied.

Step 3: Negative keyword expansion. Recurring low-intent patterns (job seekers, DIY information, competitor research) were excluded at the campaign and account levels.

Step 4: Conservative spend reduction. Spend was cut 12% to reduce the cost of the remaining inefficiency while the structural work took effect.

The Results

Over the 90-day optimization window (October 30, 2025 to January 28, 2026):

Metric	Before (90 days)	After (90 days)	Change
Spend	$22,104.27	$19,548.34	-11.6%
Conversions	34.00	42.50	+25.0%
CPA	$650.13	$459.96	-29.3%
CTR	5.35%	6.00%	+12.1%
Clicks	3,557	2,685	-24.5%
Impressions	66,535	44,744	-32.7%

The account is still above its $300 target, but the trajectory is clearly correct: CPA down, conversions up, CTR up, waste impressions filtered out. A further quarter of the same work should continue closing the gap.

Lessons Learned

1. B2B lead-gen accounts require aggressive query filtering. The ratio of information-seeking queries to buying-intent queries is much higher than in consumer categories. Negative keyword lists need to be substantially more aggressive.

2. Not every optimization hits target in a single quarter. This account closed the gap by 29% but is still above target. The work is not done, but the direction is right.

3. Impression filtering is the core lever. Cutting 33% of impressions while growing conversions 25% means the auction mix improved dramatically. The remaining auction participation is much closer to buying intent.

4. Smaller, more frequent audits produce better results than large periodic reviews. Three separate review sessions (47 terms, 15 terms, 10 terms) accomplished more than a single large audit would have.

Methodology Note

Data sourced from a managed Google Ads account in the Technology & SaaS vertical (B2B services) operating at the professional budget tier with a regional footprint. All identifying information has been removed. Performance metrics reflect the best 90-day window (October 30, 2025 to January 28, 2026) compared against the prior 90-day baseline (August 1 to October 29, 2025). The account executed 77 documented optimization actions during the measurement period. ROAS metrics are not cited because lead-generation accounts in this dataset do not reliably track conversion value. Metrics reported in USD.