Skillz · Appvertiser AI

The problem

Managing accurate attribution across 13+ channels and DSPs, sustaining a complex UA strategy focused on D180 ROAS (a long-horizon metric requiring sophisticated cohort tracking), continuous competitive pressure, and consistently hitting CPA targets at scale.

What was deployed

Vendor

Appvertiser AI

Products

Appvertiser AI platform

Technique

Classical ML

Build or buy

Bought off the shelf

Deployment

SaaS

Data used

keyword-level ROAS tracking, lookalike audiences from highest-value player cohorts, historical spend data, audience signals, creative performance patterns

Scale

$2.1M+ multi-channel UA operation across 13 ad networks and DSPs

Timeline

3 months

What changed

Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.

ROI as stated: +107% average D180 ROAS

Difficulties and limits

• Managing accurate attribution across 13+ channels and DSPs
• Sustaining a complex UA strategy focused on D180 ROAS (a long-horizon metric requiring sophisticated cohort tracking)
• Continuous competitive pressure
• Consistently hitting CPA targets at scale

Sources

• appvertiser.ai — vendor self-report, 2026-06-12