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First thing we do when we take over an ad account is nothing. No changes... Just look
and honestly... what we found in this one was uncomfortable. £40K a year in spend. 11 active issues draining budget every single day... conversion tracking firing on the wrong event, broad match keywords consuming majority of spend, bidding strategy completely misaligned with the campaign objective. All of it sitting there, unchecked, while monthly reports went out showing impressions and CTR like everything was fine...
The account wasn't broken. It was just never actually built correctly. There's a difference
Fixed the structure. didn't increase budget. cost per acquisition dropped 40% in 30 days
Most ad accounts running right now have at least 3 of these problems... reports just aren't showing them
dropped a full video on this 👇
https://youtu.be/tZ_Q4P35RLE
— Everther Studio | www.everther.com
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A 40% CPA drop without touching budget is the kind of number that makes people skeptical until they see the audit. Was the broad match keyword mess the single biggest lever, or did fixing the conversion tracking end up mattering just as much?
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Why single-channel ad strategies are burning your capital.
If you’re relying on platform dashboards alone to decide where to spend your next ad dollar, you're looking at broken data.
Meta, Google, and TikTok are all claiming credit for the exact same customer conversion. Without proper server-side tracking and an omnichannel view, you're over-investing in reported ROAS while your actual cash flow stalls.
How we fix broken attribution and scale profitably:
🔥 Server-Side Integration: Wire CAPI and Enhanced Conversions to feed AI clean first-party data.
🔥 Intent Mapping: Pair Meta and TikTok to create demand with Google Search to capture it.
🔥 Blended MER Tracking: Base budget scaling on total business efficiency, not platform vanity metrics.
Stop chasing fake dashboard wins. Start scaling true revenue.
#GoogleAds #CampaignAudit #AdsOptimizations #HighROAS
TEAM MD
- Rabby Foysal
1,500 transactions, £1.9M processed, and a fraud problem hiding in plain sight. 20% of transactions were flagged fraudulent, but they accounted for 62.5% of transaction value, meaning the risk wasn't spread evenly, it was concentrated in a handful of customer relationships. I also found the bank's own risk categories were wrong: some "low risk" merchant types had fraud rates matching their highest-risk category.
Google Ads Campaign Result: $126 spend generated 7 conversions, 39 clicks & a 17.95% conversion rate. My focus isn’t just on getting clicks—it’s on reaching the right audience, improving campaign performance, and turning ad traffic into meaningful conversions.
