garrytret
Newbie
- Joined
- Jun 3, 2026
- Messages
- 6
Over the past several months I've been systematically collecting and categorizing real campaign failure+recovery cases — all with specific before/after numbers, identified root causes, and documented fixes.
Not agency blogs. Not "lessons learned" listicles. Cases where something actually broke, someone figured out why, and there's a measurable before/after.
I'm not running an agency. I'm not selling anything. I'm trying to understand what failure actually looks like across a large enough sample to find the patterns.
Here's what I found.
---
### Pattern 1: Tracking Break (~24% of cases)
Symptom: campaigns running normally by surface metrics, spend flowing, but algorithm has no idea what a conversion looks like.
The problem with tracking breaks is that they're often silent. You see impressions, clicks, activity. Platform dashboards show "healthy" numbers. But the conversion signal is wrong or missing — and Smart Bidding is training itself on garbage data.
What makes it worse: the longer it runs, the more poisoned your optimization history gets. Fixing the tracking doesn't undo weeks of bad learning.
Real case (anonymized):
UK hardware ecommerce, B2B/B2C, 1,000+ SKUs. Conversion tracking was double-counting purchases — every sale was recorded as multiple conversion events. Nobody caught it for over
Not agency blogs. Not "lessons learned" listicles. Cases where something actually broke, someone figured out why, and there's a measurable before/after.
I'm not running an agency. I'm not selling anything. I'm trying to understand what failure actually looks like across a large enough sample to find the patterns.
Here's what I found.
---
### Pattern 1: Tracking Break (~24% of cases)
Symptom: campaigns running normally by surface metrics, spend flowing, but algorithm has no idea what a conversion looks like.
The problem with tracking breaks is that they're often silent. You see impressions, clicks, activity. Platform dashboards show "healthy" numbers. But the conversion signal is wrong or missing — and Smart Bidding is training itself on garbage data.
What makes it worse: the longer it runs, the more poisoned your optimization history gets. Fixing the tracking doesn't undo weeks of bad learning.
Real case (anonymized):
UK hardware ecommerce, B2B/B2C, 1,000+ SKUs. Conversion tracking was double-counting purchases — every sale was recorded as multiple conversion events. Nobody caught it for over
