SRS Pay: scaling paid acquisition for a payment platform
Unified attribution and Cortex-powered ad optimization drove 4.2× ROAS while cutting cost per acquisition by 38%.
Two quarters of weekly optimization
Paid acquisition, landing pages, merchant sign-up funnel
Fintech trust requirements and limited public disclosure of transaction data
Challenge
Fragmented channels, rising CPA
SRS Pay ran performance campaigns across Google, Meta, and affiliate networks, but conversion data lived in separate dashboards.
Without a single view of funnel events — from ad click to first transaction — the team over-invested in low-intent placements.
Cost per acquisition climbed for three consecutive quarters while return on ad spend plateaued below target.
Solution
End-to-end measurement with Cortex
Cortex connected ad platforms, web analytics, and payment events into one attribution model with real-time cohort reporting.
Ads Agent restructured campaigns around high-LTV segments, pausing underperforming geo and device combinations automatically.
Landing pages were rebuilt with A/B tests tracked in Cortex Monitor, aligning messaging with trust signals fintech users expect.
Process
Results
Efficient scale without guesswork
Within two quarters, SRS Pay achieved 4.2× blended ROAS and reduced CPA by 38% — while increasing verified merchant sign-ups by 62%.
No public client quote is attached to this case yet, so we do not invent one.
Stack
Technology stack
- ●Cortex attribution & cohort analytics
- ●Google Ads & Meta Ads with Cortex Ads Agent
- ●Mixpanel + server-side conversion API
- ●Cortex Monitor for landing-page experiments