Prompt Details
Model
Chat - (gpt-5.5)
Token size
300
Example input
[DESCRIBE YOUR OFFER IN 2 SENTENCES]: A SaaS tool that analyzes user behavior during onboarding and identifies drop-off points. It suggests specific fixes to improve activation rates without manual analysis.
[JOB TITLE, COMPANY TYPE, COMPANY SIZE]: Head of Product, B2B SaaS companies, 20–100 employees
[THE SPECIFIC PROBLEM]: Users sign up but fail to reach activation due to unclear onboarding friction points
[e.g. Book a 15-min call / Reply to this email / Visit a page]: Book a 15-min call
[Professional / Conversational / Direct / Friendly]: Conversational, Direct
Example output
Email 1 (Day 1)
Subject: where users drop off
Most product teams don’t actually have a traffic problem—they have an activation problem.
Users sign up, click around for a bit… and then disappear.
Curious—do you know exactly where that drop-off is happening in your onboarding right now?
We built a tool that shows you the exact steps where users get stuck, and suggests what to fix based on real behavior—not guesses.
If there’s even one friction point, it’s likely costing you more users than you think.
Worth a quick 15-min look together?
Email 2 (Day 4)
Subject: it’s usually step 2
Following up on my last note.
In most onboarding flows we’ve looked at, the biggest drop-off isn’t at signup—it’s right after, when users hit their first bit of friction.
One team assumed their pricing page was the issue. Turned out users were getting stuck on step 2 of onboarding.
Fixing that alone improved activation significantly.
If you’re not 100% sure where users are falling off, I can show you how we’d break it down for your flow.
Want me to walk you through it?
Email 3 (Day 9)
Subject: should I close this?
Hey—haven’t heard back, so I’ll keep this quick.
If onboarding optimization isn’t something you’re focusing on right now, no worries.
If it is later, happy to reconnect.
Should I close this for now?
🧠 Why This Works (Important)
1. Hook = reframing the problem
“Not a traffic problem—an activation problem”
That immediately challenges their current thinking.
2. Specific curiosity > generic claims
“Do you know exactly where drop-off is happening?”
This pulls them in without pitching.
3. No heavy selling early
Email 1 = diagnosis
Email 2 = insight
Email 3 = exit
That’s the structure.
4. Feels personal without fake personalization
No “Hi {{FirstName}}, saw your company…”
Instead:
Uses role-specific pain
Sounds like a real observation
5. CTA is low pressure
Not:
“Book a demo”
But:
“Worth a quick look?”
“Want me to walk you through it?”
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GPT-5.5
Generates a personalized cold email sequence (3 emails) for any B2B product or service — with a hook, value prop, and low-friction CTA. Replaces a $300 copywriter session.
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Added 3 days ago
