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 US baby products brand was spending $28K/month on Meta Ads. Their customer base skewed heavily toward parents — and 71% of their customers were on iOS. Their Meta Event Match Quality was 2.4 — one of the worst scores possible. The algorithm had almost no reliable data to work with.
An EMQ of 2.4 means Meta can barely match browser events to real user accounts. On iOS, without user consent for tracking, Meta's pixel receives an anonymized event with no identifying information. Without server-side first-party data enrichment, every iOS purchase arrives at Meta as a completely anonymous signal — impossible to attribute to a specific ad, campaign, or audience. At this score, smart bidding is essentially guessing, lookalike audiences are built on unreliable profiles, and ROAS reporting has almost no connection to actual business outcomes.
An EMQ of 9.1 is exceptional — it means Meta can confidently identify and attribute nearly every purchase to a specific user account, even on iOS. The key is first-party data: when Saifur enriches every CAPI event with hashed email and phone (pulled from Klaviyo's order data), Meta can match that event to its user database regardless of whether the customer had tracking consent enabled on their device. This turns an iOS-heavy audience from a tracking liability into a strength.
“71% of our customers are on iOS and our Meta EMQ was sitting at 2.4. Saifur knew exactly what to do — Klaviyo integration, full PII enrichment on every CAPI event. EMQ went from 2.4 to 9.1 and ROAS went from 1.1x to 3.7x over eight weeks. Absolutely worth every penny.”