What this prompt does
This prompt makes the model a SaaS growth expert that designs a complete onboarding email sequence built around activation. You supply [product_name], [product_description], [target_user], [activation_metric], [conversion_rate], and [trial_length], and it maps the full sequence with timing and triggers, then writes each email with subject-line A/B variants, preview text, body copy, design notes, and segmentation.
The structure ties every email to a real activation moment, not just a calendar day. It defines both time-based and behavior-based triggers — if a user hits the [activation_metric] they skip to a success track, if they go inactive they get re-engagement, if it's late in the trial and they haven't activated they get urgency. Because you supply the [trial_length] and [trial_midpoint], the mid-trial check-in and end-of-trial nudges land at the right moments. Each email uses personalization tokens like {first_name} and {company_name} and carries a single clear CTA. The [brand_tone] variable keeps the voice consistent across the whole drip.
When to use it
- When trial-to-paid conversion is below where you want it and onboarding is where users drop.
- Launching a new product and you need an activation-driven drip from scratch.
- When your current emails fire on calendar days instead of real product behavior.
- To get A/B subject-line variants and segmentation rules for an existing sequence.
- When you want each email mapped to a specific activation moment and trigger.
Example output
You get an email architecture table (number, email, trigger, timing, goal) covering welcome through trial-expired, with both time- and behavior-based triggers. Then, for each email, a primary subject line plus two A/B variants with predicted open rates, preview text, full body copy with personalization tokens and one CTA, a social-proof element, an optional PS line, design notes, and segmentation guidance. It closes with a performance framework of target open, click, and conversion rates per email.
Pro tips
- Define
[activation_metric]as a concrete, multi-step action (create first project, invite two members, complete setup) — the whole sequence pivots on getting users there. - Set
[trial_length]and[trial_midpoint]accurately so the check-in and urgency emails fire at the right days relative to expiry. - Describe
[target_user]with real specifics (role, company size, the tool they're frustrated with) so the copy speaks to their actual pain. - Use
[brand_tone]to lock the voice; I keep it consistent so the sequence reads like one person, not a committee. - Treat predicted open rates as guesses to test, not promises — the value is having A/B variants ready, then measuring your own numbers.
- Add
[optimization_focus]to point the model at your highest-leverage email, usually the day 2-3 activation push.
