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Enterprise Services Provider

-41%

Cost Per Sales-Qualified Lead

E
Enterprise Services Provider

Step 1

The Problem

An enterprise services provider was spending heavily on Google and LinkedIn but generating a flood of unqualified leads that wasted sales team time. Cost per sales-qualified lead was unsustainable, and the marketing team couldn't justify additional budget without proving pipeline quality improvement.

Step 2

Our Approach

We restructured campaigns around intent signals rather than volume. Wayfinder AI built a lead scoring model from historical CRM data, identifying which keyword and audience combinations produced leads that actually closed. This model fed directly into platform bidding strategies.

Wayfinder AI in Action

CRM-Trained Lead Quality Scoring

Wayfinder AI trained on historical CRM close-rate data to score leads at the keyword-audience level, then fed quality signals back into platform bidding.

Step 3

The Impact

Cost per SQL dropped 41% while SQL volume held steady. Sales team efficiency improved dramatically as they stopped chasing dead-end leads, and marketing earned back budget credibility.

-41%

Cost Per SQL

Acquisition Cost

+89%

Lead-to-SQL Rate

Efficiency

-18 days

Sales Cycle Length

Efficiency

Performance Timeline

BeforeAfter Tiger Tracks
530623715808900Month 1Month 2Month 3Month 4Month 5Month 6Month 7Month 8TIGER TRACKS STARTSPerformance Index

How We Tracked It

CRM-integrated offline conversion tracking. Lead quality measured from MQL to SQL to closed-won, with revenue attribution at the campaign and keyword level.

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