CASE STUDIES

Real Attribution. Real Results.

How AiTRK reveals the conversion paths other tools miss — across industries and campaign types.

E-COMMERCE • DTC FASHION

Multi-Channel Retailer Discovers $127K/Month in Misattributed Conversions

Challenge

Spending $850K/month across Google, Meta, TikTok, and programmatic. GA4 showed ROAS declining, but revenue was growing. Couldn’t justify programmatic budget to leadership.

What AiTRK Revealed

View-through conversion tracking showed that programmatic display was initiating 34% of conversion paths — users saw display ads, then converted via branded search or direct. GA4 attributed these conversions to Google Ads (last click), making programmatic look like wasted spend.

Results

  • Identified $127K/month in misattributed conversions (programmatic → branded search)
  • Prevented a planned 40% programmatic budget cut that would have reduced revenue
  • True cross-channel ROAS was 5.2x vs GA4’s reported 3.1x
  • Network data refresh cycle (3x daily) enabled near-real-time bid optimization

HEALTHCARE • MULTI-LOCATION ORTHOPEDIC PRACTICE

Orthopedic Practice Reduces Patient Acquisition Cost by 23%

Challenge

12 locations running Google Ads, Meta, and local programmatic. HIPAA compliance required. Needed to track patient acquisition cost across channels without exposing PHI.

What AiTRK Revealed

Cross-device tracking showed 61% of patients researched on mobile but booked appointments on desktop. Single-device attribution was undercounting mobile’s role by half. View-through data showed local programmatic was driving branded search volume in new markets.

Results

  • Reduced patient acquisition cost by 23% through cross-device-informed budget reallocation
  • Proved local programmatic ROI with impression-to-appointment path data
  • Maintained full HIPAA compliance throughout — no PII in the tracking layer
  • Unified attribution across all 12 locations in a single Atrilyx dashboard

B2B SAAS • ENTERPRISE SECURITY PLATFORM

Enterprise SaaS Justifies $45K/Month LinkedIn Budget with Multi-Touch Data

Challenge

Long sales cycles (90+ days), multiple stakeholders, expensive LinkedIn and programmatic campaigns. Couldn’t prove that upper-funnel spend was contributing to closed deals.

What AiTRK Revealed

Multi-touch attribution showed that 78% of closed deals had at least 3 touchpoints across different channels before the demo request. LinkedIn was the first touchpoint in 41% of deals, but GA4 attributed demo requests to direct/organic (last click). Programmatic retargeting was the “middle touch” in 56% of deal paths.

Results

  • Justified $45K/month LinkedIn budget that was about to be cut
  • Demonstrated that average deal touched 4.7 channels before closing
  • Shifted budget allocation: increased upper-funnel by 25%, reduced low-performing branded search by 15%
  • Pipeline velocity improved by 18% after reallocation

These case studies represent anonymized composites based on typical results across AiTRK’s 79 client accounts. Specific metrics reflect real performance patterns. Contact us for references relevant to your industry.

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