A free tier can 10x your top-of-funnel or bury you in unpaid support tickets. The decision is not "should we do freemium" - it depends on three specific factors.
The three factors that determine fit
1. Paid ACV above $30/month
Free tier math only works if a small percentage of free users converting produces enough revenue to justify supporting the rest.
At $30/month ACV with 3% conversion: 100 free users produce $90/month in paid revenue. That covers the marginal cost of supporting the other 97 free users at most SaaS support economics.
At $10/month ACV with 3% conversion: 100 free users produce $30/month. That is not enough to justify the support burden. You would need conversion above 10% for the math to work.
2. Low marginal support cost per user
Some products have negligible cost per user (mostly software). Others have real cost per user (support-heavy, high-touch onboarding, or heavy compute per action).
Free tiers work well for the first. They break for the second because free users generate the same support requests as paid ones without generating revenue.
Test: if you added 1,000 free users tomorrow, would your support ticket volume increase proportionally? If yes, a free tier will hurt more than it helps.
3. Activation instrumentation
You need to be able to answer: "Which behavioral signals predict free-to-paid conversion?" Without this data, you cannot optimize the free tier for conversion, and it becomes a slow leak of resources.
See aha moment guide for how to identify the specific behaviors that predict conversion.
What a good free tier includes
The best free tiers give full product experience within volume limits. Not a crippled version.
Volume limits work
"Up to 5 users, 3 projects, 1,000 emails per month."
Users get real value from the product until they hit the limit. When they hit it, the friction is honest (they need more capacity) and the upgrade decision is easy.
Feature limits do not work
"All features included except analytics, integrations, and API access."
Users cannot fully evaluate the product. They form incorrect judgments about value. When they hit locked features, it feels adversarial rather than natural.
Time limits work in specific cases
"Free for 14 days, then downgrade to a limited free tier." (Reverse trial pattern.)
This combines the urgency of a trial with the safety net of a free tier. Conversion rates are typically 2-3x higher than either pure trial or pure freemium.
When to have a free tier vs a free trial
| Situation | Model |
|---|---|
| B2B SaaS, ACV above $100/month | 14-day trial (creates urgency) |
| B2B SaaS, ACV $30-$100/month | Reverse trial (Pro access, downgrade to free) |
| B2B SaaS, ACV under $30/month | Skip free tier. Free trial only. |
| Developer tools, individual users | Free tier with volume limits |
| B2C SaaS, freemium expected in category | Free tier (competitive pressure) |
Free tier warning signs
If you already have a free tier, these signals mean it is hurting more than helping:
- Conversion rate below 2%
- Support ticket volume 50%+ higher than expected
- Free users represent 90%+ of your active base with no upgrade path
- Your paid users complain that free users get the same features
If two or more are true, consider tightening the free tier or migrating to a reverse trial.
For product-led SaaS
PLG products live or die on free tier design. See the PLG landing page for more on the activation and conversion mechanics that make free tiers work.
Score your setup
Take the 60-second Churn Health Check. It scores your activation and conversion setup and tells you whether your funnel structure is your biggest gap.