Client Case Study: Learning Tree
Rebuilding enterprise Google Ads campaigns to focus on bottom-funnel conversion queries, resulting in massive scaling.
High Customer Acquisition Cost (CAC) on Broad Search
Learning Tree was overspending on top-of-funnel informational queries that failed to capture actual high-intent leads, leading to high cost-per-conversion and budget waste.
Bottom-Funnel Bid Restructure & Search Query Pruning
We completely reorganized their search account. We excluded broad generic terms and focused exclusively on high-conversion intent keywords while using value-based bidding settings.
Our Approach & Roadmap
A systematic workflow engineered to isolate scaling bottlenecks and build compounding loops.
Query Sorting
Isolated keyword lists to identify queries driving actual enrollments vs informational clicks.
Negative Pruning
Created comprehensive account-level lists to drop generic search trends wasting client ad budget.
Value Setup
Wired dynamic conversion values back to the bidding algorithm based on downstream classroom pricing.
Bid Scaling
Moved to Maximize Conversions with a strict target CPA threshold, safely expanding ad exposure.
Documented Client Outcomes
Concrete, measurable performance indices checked and verified post-deployment.
The restructuring lowered acquisition cost significantly, allowing campaigns to scale profitably with clean, bottom-funnel tracking.
Client Assets & Live Systems
Direct captures representing the live optimized site presence, classroom programs, and documented growth.
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Other Documented Growth Stories
Re-engineered information architecture, local GBP authority, and Google Ads funnels to turn stagnant organic traffic into 1,151+ high-intent inbound inquiries in just 40 days.
Explore Study
Scaling return on ad spend and organic e-commerce revenue through semantic search restructuring and smart campaign bidding.
Explore Study