69% AOV Growth Through Structural Rebuild
How we transformed a volatile Google Ads account into a stable growth engine, increasing AOV from $642 to $1,084 and doubling call volume, without increasing annual ad spend.
A B2B manufacturer with strong demand but broken measurement.
Our client is a U.S.-based B2B manufacturer and distributor of dry erase products serving education, construction, healthcare, manufacturing, and corporate offices. Their catalog includes standard boards, custom printed solutions, and accessories. Unlike typical ecommerce brands, this client generates significant revenue through inbound calls and lead form submissions for large B2B orders. That makes success measurement complex: platform ROAS alone doesn't capture the full picture, and the account had been scaling on partial data.
- IndustryB2B Manufacturing
- MarketUnited States
- 2024 Ad Spend$508,368
- AOV$642 → $1,084
- +69%AOV Growth
- 2.4×Call Volume
- 0.58 → 3.09ROAS Stabilization
Heavy spend with volatile, unpredictable returns.
When we took over in January 2025, the account was spending $500K+ annually but suffering from extreme performance volatility. The brand had strong demand potential, but the foundation was broken. After deep analysis, the issue wasn't 'ads performance.' Even perfect optimization couldn't fix structural problems beneath it.
Broken Attribution
Calls are a primary revenue driver, but CallRail tracking wasn't structured reliably. Campaigns driving real revenue were undervalued, and scaling decisions were being made on incomplete data.
Structure Fighting Automation
Too many category-level campaigns created low conversion volume per campaign, weak learning signals, and inefficient automated bidding. Google's automation needs consolidated data to work.
No Margin Strategy
The brand sells both manufactured (higher margin) and drop-ship (lower margin) products. Ad strategy wasn't aligned with margin priorities, so improving ROAS alone wasn't improving profitability.
Hybrid Sales Complexity
Revenue flowed through three channels at once: ecommerce checkout, inbound calls, and B2B lead forms. Single-channel measurement was hiding the true return on every dollar spent.
A chronological account of how the account got rebuilt
We deliberately avoided aggressive budget increases in month one. Instead, we fixed measurement, restructured campaigns, then scaled spend around demand cycles. The principle in play at each phase is noted on the right.
- Sep '24
Pre-Engagement Baseline
Account was burning $52,430/month at 0.58 ROAS. Fragmented campaign structure, broken call tracking, and no margin-aware budget allocation. The same pattern repeated in October.
0.58 ROAS · $52,430 spendPrinciple 01 · Foundation Before Scale - Jan '25
Tracking and Measurement Fix
Rebuilt CallRail tracking implementation, ensured calls attributed to the correct campaigns, corrected conversion action setup, and adjusted call value from $275 to a realistic $100. Bid strategies could finally see real conversion value.
3.09 ROAS post-restructurePrinciple 01 · Foundation Before Scale - Feb '25
Campaign Simplification
Consolidated low-volume campaign structures, paused underperforming campaigns, reduced overlapping segmentation, and reorganized Performance Max into stronger asset groups. Launched an All Products PMax to give Google's automation enough volume to learn.
2.99 ROAS heldPrinciple 02 · Consolidate for Learning - Mar '25
Margin-Based Product Focus
Reweighted spend toward higher-margin manufactured products and custom printed solutions; reduced spend on lower-margin drop-ship SKUs. AOV started to climb as the algorithm chased higher-value conversions.
Scaled to $50K+ spendPrinciple 03 · Margin-Weighted Spend - Apr '25
Search Expansion
Once baseline stability was confirmed, expanded search coverage: office whiteboards, education whiteboards (seasonal), custom printed boards, construction use cases, and healthcare use cases. Each cluster validated against margin before scaling.
2.83 ROAS sustainedPrinciple 02 · Consolidate for Learning - Aug '25
Seasonal Peak Scaling
Aligned scaling with demand cycles instead of arbitrary budget bumps. Scaled to $67,810 for the education season peak; held discipline on margin-weighted allocation through the rest of the calendar year. Tracked calls in 2025 hit 1,674, up from roughly 700 the year before.
$67,810 Aug spend · 1,674 callsPrinciple 04 · Demand-Driven Scaling
The four principles that made the rebuild work
We rebuilt the foundation before we touched budgets. Each principle below maps to the rebuild timeline and to a specific failure mode we found in the inherited account.
- 01
Foundation Before Scale
Even perfect optimization can't fix structural problems. We rebuilt measurement before adjusting a single budget.
- Fixed CallRail tracking implementation
- Calls attributed to correct campaigns
- Corrected conversion action setup
- Realistic call value calibration
- 02
Consolidate for Learning
Google's automation needs conversion volume per campaign to learn. We collapsed fragmented structures into fewer, stronger ones.
- Merged low-volume campaigns
- Paused underperforming structures
- Reorganized PMax asset groups
- Launched All Products Performance Max
- 03
Margin-Weighted Spend
Improving ROAS alone doesn't improve profitability. We aligned ad spend to product margin so every dollar pulled the right product mix.
- Prioritized manufactured products
- Scaled custom printed demand
- Reduced low-margin dropship spend
- AOV climbed from $642 to $1,084
- 04
Demand-Driven Scaling
We scaled with demand cycles, not arbitrary monthly bumps. Construction season and education season dictated when budget pressed forward.
- Construction season (Spring–Summer)
- Education season (August–September)
- March–April: scaled to $50K+ spend
- August: scaled to $67,810 peak
Same spend. Dramatically better outcomes.
By rebuilding the foundation instead of just optimizing campaigns, we achieved significant improvements without increasing annual ad spend. The Average Order Value lift is the headline number; the call volume change tells the rest of the story.
What made this transformation possible
- 01
Foundation Before Scale
Even perfect optimization can't fix structural problems. We spent month one fixing tracking and attribution before touching budgets, and every result downstream depended on it.
- 02
Calls Are Revenue
For B2B hybrid businesses, calls aren't secondary; they're often primary. Proper call attribution revealed which campaigns were actually performing and which ones the platform had been undervaluing.
- 03
Profitability > ROAS
Improving ROAS alone doesn't improve profitability. Aligning spend toward high-margin products increased AOV by 69% on the same annual ad spend.
Spending heavily but seeing volatile returns?
If your Google Ads account is generating traffic but performance is inconsistent, the issue might be structural. Let's talk.