How Nyfter turned ad spend into a profit engine.

Two blind spots: gift buyers and Amazon.

Nyfter's core audience often can't buy for themselves, up to 30% of purchases in a normal month come from someone else, a parent or gift-giver, while a large share of revenue moves through Amazon instead of the direct store. Both created blind spots no pixel alone could see.

Before Admetrics, budget calls came from Ads Manager numbers, a manual spend-and-revenue spreadsheet, and post-purchase surveys, with the team reading the data to match the answer they already believed.

S2S data, a real Mixed Marketing Model.

A server-to-server integration roughly tripled the events Nyfter could measure in-account, and a real Mixed Marketing Model replaced the team's self-built correlations with an actual model of how their setup performs.

Budget decisions now cross-check Admetrics' post-purchase, ground-truth layer against the ad platforms themselves, when both agree on which campaign has the lowest CAC, that's the signal to act.

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From gut feel to a healthier baseline.

Nyfter now works from a healthier baseline and a trusted ground-truth layer instead of reactive, week-to-week spend swings, giving the team confidence to scale specific channels instead of second-guessing every number the ad platforms report.