Client Success Story

We Transformed PriceLabs from 0.7 to 2.5 ROAS

How we rebuilt a chaotic $90K/month Google Ads account into a profitable $180K/month performance engine — achieving 350% ROAS improvement in just 9 months

2.5× ROAS Achieved

2× Budget Scaled

45% Cost Reduction

75% CTR Increase

56% Fewer Campaigns

The Challenge: A $100K/Month Account in Chaos

Despite spending nearly $100,000 monthly on Google Ads, PriceLabs' account was broken. ROAS was stuck at 0.7 (losing money on every dollar spent), and the account structure made optimization impossible.

What We Found: 7 Critical Issues

✕ 90+ campaigns running simultaneously with no strategic allocation

✕ 600+ competing bidding strategies fighting each other

✕ Conversion data inflated 5× — all optimization signals were wrong

✕ Quality Score of 5 causing higher CPCs and worse ad positions

✕ 700+ ad groups preventing machine learning optimization

✕ ROAS of 0.7 — losing 30 cents on every dollar spent

The 9-Month Transformation

We didn't just optimize campaigns. We rebuilt the entire account from the ground up with a systematic, data-driven approach.

ROAS & Spend Evolution: Month 0 to Month 9

Our 3-Phase Approach

Stabilization & Structural Reform (Months 1-2)

The Problem: With 90+ campaigns and 600+ competing bidding strategies, the account was too fragmented for algorithms to learn. We needed to restore structural integrity before pursuing growth.

What We Did: Consolidated campaigns from 90+ to 60, eliminated wasteful SKAG structures, improved Quality Scores through ad relevance, and created thematic ad groups with sufficient signal density for machine learning.

5 → 8 Quality Score

$140K Monthly Spend

Stable Account Foundation

Data Intelligence & Value Optimization (Months 3-6)

The Breakthrough: We discovered conversion data was inflated by over 500%. Every optimization decision had been based on false signals. We rebuilt the data foundation completely.

What We Did: Implemented offline conversion tracking from CRM, established GCLID-level attribution, assigned differential values based on customer LTV, shifted to value-based bidding, and optimized 25+ landing pages for conversion.

~20% Data Variance (from 500%)

1.3 ROAS Achieved

+30% Landing Page CVR

Scalable Profitability (Months 7-9)

The Scale: With foundations strong and data accurate, we proved the account could maintain efficiency while doubling spend. ROAS improved even as we scaled — the hallmark of a truly optimized system.

What We Did: Completed campaign consolidation to 40 campaigns, deployed AI Max for incremental discovery, maintained efficiency despite 2-3× CPC increases, and achieved profitable scale at 2× the original budget.

2.5 ROAS Achieved

$180K Monthly Spend

-45% Cost per Signup

The Final Results: From Chaos to Profitability

350% ROAS Improvement
(0.7 → 2.5)

100% Budget Scaled
($90K → $180K)

45% Lower Cost per
Customer Signup

75% CTR Increase
(4% → 7%+)

60% Quality Score
Improvement (5 → 8)

56% Fewer Campaigns
(90 → 40)

Before vs After: The Complete Picture

Key Metrics Transformation

Frequently Asked Questions

GrowthSpree helped PriceLabs scale its Google Ads budget by 2× while improving ROAS by 350% (from 0.7 to 2.5). The engagement also reduced customer acquisition costs by 45%, increased CTR by 75%, and consolidated active campaigns by 56% for better algorithmic learning.

The account was in chaos with over 90 campaigns, 600+ competing bidding strategies, and a low Quality Score of 5. Additionally, conversion data was inflated by 5×, meaning the ad platform's machine learning was optimizing based on entirely incorrect conversion signals.

GrowthSpree rebuilt the data foundation from scratch by setting up offline conversion tracking from the CRM, establishing GCLID-level attribution, assigning differential values based on customer LTV, and shifting the account to value-based bidding.

Phase 1 focused on stabilization and structural reform (consolidating campaigns and boosting Quality Scores). Phase 2 established data intelligence and value-based bidding. Phase 3 focused on growth, scaling budget profitably to $180K/month once the engine was verified.

PriceLabs is a leading provider of dynamic pricing and revenue management software for vacation rentals, short-term rentals, and hotels, founded in 2014.

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