Services
Google Ads Management Meta Ads Management Website Design & Build Local SEO Social Media Management Tracking & ConversionsAd Platform Tracking
Meta Pixel + CAPI TikTok CAPI LinkedIn CAPI Snapchat CAPI Pinterest CAPI Quora Pixel Bing + UET TagGoogle Ecosystem
Google Ads Tracking GA4 Setup & Audit Google Tag ManagerAdvanced Solutions
Server-Side Tracking Looker Studio Offline ConversionA Canadian women's fashion brand was spending $14K/month on Snapchat, targeting Gen Z and millennial women aged 18–32. Their Snap Ads Manager showed a persistent 0.8x ROAS — below breakeven. The founder was 2 weeks away from cutting the channel entirely when a Snap account manager suggested they get the tracking independently audited first.
Their Snapchat Pixel match rate was 9%. Of every 100 purchases driven by Snap ads, only 9 were being attributed back to Snap. The root cause was predictable: 78% of their audience was on iPhone, and iOS App Tracking Transparency meant the browser pixel had almost no ability to identify who was converting. Each event arrived at Snap as an anonymous signal with no user match — statistically useless for attribution. The 0.8x ROAS was not a reflection of Snap's performance. It was what 9% visibility looks like.
A 9% match rate means Snap's algorithm is making every optimization decision based on a tiny, unrepresentative sample of real buyers. When CAPI sends hashed email and phone directly from Shopify's servers, Snap can match that event to a logged-in Snapchat profile regardless of iOS privacy settings. The 2.7x ROAS was always there — it was just invisible. This is one of the most common situations I see on Snap: the platform isn't the problem, the tracking is.
“Our Snap ROAS showed 0.8x and we were literally days away from killing the budget. Saifur ran the audit first and the real ROAS was 2.7x — 78% of our audience is iPhone and the browser pixel was essentially useless. CAPI fixed it in two weeks. We've since doubled the Snap budget.”