Free trial and freemium look similar but produce completely different funnels.
Free trial and freemium are the two dominant self-serve acquisition models in B2B SaaS, and startups often pick one based on what a competitor does rather than what fits their product. The two models produce completely different funnels: freemium optimizes for volume and network effects, free trial optimizes for conversion and value demonstration. Choosing wrong wastes 12-24 months of GTM iteration.
Free trial: full product access for a limited time (7, 14, 30 days), then paid. Optimizes for conversion (users who try are motivated to evaluate). Typical conversion: 15-25%. Best for products with clear ROI, executive buyers, and $10K+ ACV. Freemium: limited product access forever, upgrade for more. Optimizes for volume and virality. Typical conversion: 2-5%. Best for products with network effects, individual users, and consumer-adjacent buyer motion.
7 days: for products with immediate value (analytics dashboards, simple tools). Forces urgency. Common in $50-500/mo pricing. 14 days: default for most SaaS. Long enough to evaluate, short enough to maintain urgency. Common in $500-5K/mo pricing. 30 days: for products requiring setup, data import, or team onboarding. Reduces urgency but necessary for realistic evaluation. Common in $5K+/mo pricing. Extending trial length rarely improves conversion — it delays the decision but doesn't change it.
Credit card required: 3-5x higher conversion (people who enter a card are serious), 60-80% lower signup volume. Best for products above $200/mo where signup quality matters more than volume. No credit card: 3-5x higher signup volume, 60-80% lower conversion. Best for products below $100/mo or for demand-gen-driven trials. Reverse trial (freemium after trial ends): captures value from non-converters, common in modern SaaS.
Day 0: signup → sandbox pre-populated with sample data → first "aha" moment within 5 minutes (not "connect your data source"). Day 1-3: guided onboarding to core use case with product-tour + in-app messaging. Day 4-7: expansion prompts to secondary features. Day 8-12: sales-assist reachout for high-intent users (usage above threshold). Day 13-14: expiration warnings + upgrade CTAs. Trials that skip in-app guidance rely on users figuring it out — most won't.
The mistake: treating trials as pure PLG with no human touch. The right model: sales-assist reps monitor trial signups, prioritize by fit (company size, industry, seniority) + intent (usage depth, features touched, invited teammates), and reach out to top 10-20% of trials with a personal message. This 2-3x's conversion for high-fit accounts. Trials without any sales-assist leave 30-50% of enterprise revenue on the table.
Trial too generous (never converts because free version is enough). Trial too limited (users can't see real value). Auto-charging after trial without warning (produces refund requests and negative reviews). No onboarding sequence (users hit dashboard, don't know what to do, churn). No sales-assist for high-intent trials. Not measuring activation separately from conversion (conversion problems are usually activation problems).
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