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Happy Friday!
Before jumping into the weekend, take a look at our guest post by Jetmetrics co-founder, Dmitry Nekrasov, who breaks down why “good” ROAS can still tank your growth!
In today’s newsletter
How to run GPT‑5 like a product team
Cheatsheet for spotting misleading KPIs
This is what a money-making PDP looks like
AI Launch Codes (For Premium Users Only):
GPT‑5 Deep Manual - Hacks, Workarounds & Best Practices
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Let’s dive into it👇
AI Launch Codes
How to run GPT‑5 like a product team
Here’s the new operating model I use daily:
Treat it as planner + doer
Start with a goal, audience, constraints
Ask it to propose a plan → you approve
Then: 3 options → rubric → winner → revision
End with: “What’s the smartest follow-up?”
Also: GPT‑5 Thinking mode is worth it. Tell it to slow down and think in steps. Quality jumps.
Find the full playbook—prompt templates, debug flows, workflows, and reuse systems at the end of this newsletter.
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Guest post
Cheatsheet for spotting misleading KPIs
"ROAS is high, so we're good"
Not always.
I've made a cheat sheet for metrics that sound good, but actually mislead.
– Some hide problems.
– Some look fine, but slow you down.
– Some give you zero actionable signal.
Here’s what you’ll find inside:
→ Metrics that create false confidence
(like ROAS or blended CAC)
→ Metrics that seem useful, but lack context
(like CR or returning users)
→ Metrics that don’t lie, but are easy to read wrong
(like bounce rate or open rate)
→ What to use instead
(better metrics that show real performance)
Most dashboards and reports are full of these traps.
This cheat sheet helps you avoid them.
Optimization
This is what a money-making PDP looks like
What the “after” does correctly:
Trust stack above the fold (reviews, delivery cadence, price anchor)
Zero confusion between auto vs one-time
Pack size options with value framing baked in
ATC button that actually grabs attention
GPT‑5 Deep Manual - Hacks, Workarounds & Best Practices
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