# Improve free trial to paid conversion for my SaaS product

A diagnosis of where trials stall and a trial plan with in-app guidance, emails, and experiments to lift conversion.

- Topic: Marketing & Brand
- Framework: RTF
- Level: Standard
- Tags: Email, Analyze, Plan, Fill-in Template
- Source: https://www.thinkwithprompt.com/prompts/improve-free-trial-to-paid-conversion-for-my-saas-product

## Prompt

```text
Help me improve free-trial-to-paid conversion for my SaaS product.

**Trial setup:** [length, credit card required or not, which plan's features are included]
**Trial funnel data:** [signups, % who activate, % who convert, median days to convert - or "not tracked"]
**Activation milestone:** [the action that shows a user got value, if known]
**Who signs up:** [roles, company sizes, sources]
**Current trial touchpoints:** [emails, in-app tips, sales calls]
**Main reasons trials don't convert:** [survey data, guesses]

Give me:
1. A diagnosis: where trial users most likely drop off (signup, setup, first value, team adoption, payment) based on my data, and the data I'm missing.
2. Trial design choices to test: trial length, card upfront vs no card, reverse trial (premium trial that drops to free), and the trade-offs for my model.
3. A day-by-day trial journey table: day | trigger (behavior-based where possible) | channel (in-app, email, sales) | message goal | copy draft.
4. Behavior branches: a user who has activated vs one who has not, and a high-fit account that should get a human.
5. Upgrade moments: where to show pricing and limits in context without blocking value.
6. An end-of-trial sequence and a trial-expired recovery offer.
7. 5 experiments ranked by expected impact and effort, each with a hypothesis and success metric.

Keep emails under 120 words each. Don't invent benchmarks; label any rule-of-thumb numbers as rough.
```

## What to fill in

- the action that shows a user got value, if known
- roles, company sizes, sources
- emails, in-app tips, sales calls
- survey data, guesses

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