AdFire
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About AdFire

Every day, performance marketers lose thousands of dollars to creative fatigue, budget leaks, and broken targeting — problems that are entirely detectable with the right data. AdFire was built to catch these issues automatically, so you can focus on strategy instead of spreadsheets. We connect to your Meta and Google Ads accounts, run continuous AI analysis across every campaign, and surface the 2–4 actions that will move the needle most today.

2,800+
Marketers
€500M+
Ad Spend Managed
47%
Avg. ROAS Increase

Our Story

AdFire was founded in 2024 by a team of ex-agency performance marketers who collectively managed over $50M in ad spend across e-commerce, B2B, and direct response. We lived the pain of manually auditing accounts every morning, switching between Meta Business Manager and Google Ads, and building custom spreadsheet dashboards that were already out of date by the time we opened them.

We knew the signals for underperforming ads were already in the data — frequency climbing, CTR dropping, budgets capping out on winning campaigns while losing ones ran unchecked. The problem was surfacing them fast enough to act. So we built the platform we always wished existed: one that does the daily analysis automatically and tells you exactly what to fix, backed by AI trained on real campaign data.

Why AdFire

Daily AI analysis, automatically
AdFire runs a full account audit every morning — checking creative fatigue, budget efficiency, targeting drift, bidding strategy, and pixel health — and ranks the issues by revenue impact so you always know what to fix first.
Meta and Google Ads in one place
Stop context-switching between platforms. AdFire syncs both your Meta and Google Ads accounts, unifies performance data in a single view, and generates cross-channel recommendations using the same AI model.
Actionable recommendations, not just dashboards
Most analytics tools tell you what happened. AdFire tells you what to do about it. Each recommendation includes the specific entity, the root cause, the expected impact, and a one-click apply option where the platform supports write-back.