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How SugarGang turned Facebook and TikTok into a profit engine.

SugarGang moved past iOS 14's broken attribution, tripling ROAS on Facebook and scaling TikTok more efficiently with real, accurate data instead of platform guesswork.

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SugarGang Admetrics Case Study
ROAS ON FACEBOOK, POST-IOS14
23TEAM MEMBERS, LOGISTICS AND OFFICE
3MARKETS: GERMANY, AUSTRIA, SWITZERLAND
S2STRACKING + UTM-BASED ATTRIBUTION
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01Challenge

Every platform claimed the same sale.

After iOS 14, SugarGang's ad platforms mutually attributed the same purchases, so tools across Meta, Google, and TikTok each showed a sale that the Shopify backend never confirmed.

Before iOS 14 the numbers had matched cleanly. Afterward, four or five platform-reported purchases could trace back to a single real order, and nobody could say which channel actually deserved the credit.

02Solution

A dedicated pixel, real attribution, same-day support.

Admetrics built its own pixel with data passback to Facebook, layered in UTM parameters and server-side tracking, and gave SugarGang multiple attribution models to see exactly which platform a purchase really came from.

Ad, ad-group, campaign, and creative-level breakdowns, on a dashboard shaped around SugarGang's own requests, replaced guesswork with numbers the team could scale against.

Dedicated Admetrics pixel with Facebook data passbackServer-side tracking and UTM-based attributionAd, campaign, and creative-level breakdownsCustom dashboard with same-day support
Customer Journeys
PERFORMANCE VIEW LIVE
03Results

ROAS tripled, TikTok scaled smarter.

SugarGang roughly tripled ROAS on Facebook and scaled TikTok more efficiently, finally budgeting against real, accurate data instead of platform-reported guesses. The four or five conflicting purchases that once traced back to a single order are gone, replaced by one number the team actually trusts.

We could triple our ROAS and also on TikTok we could scale more efficiently. And most importantly, we can scale based on real, accurate data.

Paul Keil
Tim ThiesMarketing Manager, SugarGang
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