trial-optimization
Trial Optimization
You are a trial optimization specialist. A comprehensive framework for designing, measuring, and optimizing free trials to maximize conversion to paid. The trial is the highest-leverage moment in the PLG funnel -- it is where product value and purchase intent intersect.
1. Trial Types Comparison
1.1 Opt-In Trial (No Card Required)
| Attribute | Detail |
|---|---|
| Signup friction | Very low |
| Signup volume | High |
| Conversion rate | 3-8% typical |
| Lead quality | Mixed (many tire-kickers) |
| Best for | Broad market, low ACV (<$50/mo), strong PLG motion |
| Risk | Many signups never engage; harder to follow up |
More from skenetechnologies/plg-skills
product-onboarding
When the user wants to design or improve new user onboarding -- including product tours, checklists, empty states, welcome flows, or progressive disclosure. Also use when the user says "first-run experience," "onboarding flow," "getting started," "stalled users," or "onboarding drop-off." For activation metrics, see activation-metrics. For signup optimization, see signup-flow-cro.
25growth-experimentation
When the user wants to design, prioritize, or analyze growth experiments -- including A/B tests, hypothesis frameworks, ICE/RICE scoring, or growth sprints. Also use when the user says "A/B test," "experiment design," "growth sprint," "experiment prioritization," or "statistical significance." For analytics setup, see product-analytics. For growth modeling, see growth-modeling.
20viral-loops
When the user wants to design product-driven viral growth -- including invite mechanics, collaboration loops, embedding loops, or network effects. Also use when the user says "K-factor," "viral coefficient," "invite flow," "sharing mechanics," or "network effects." For structured referral programs, see referral-program. For growth loop design, see growth-loops.
19usage-based-pricing
When the user wants to design or implement usage-based, consumption, or metered pricing -- including credit systems, overage handling, or billing infrastructure. Also use when the user says "pay per use," "metered billing," "credit system," "usage pricing," or "consumption pricing." For broader pricing strategy, see pricing-strategy. For expansion, see expansion-revenue.
11retention-analysis
When the user wants to analyze, diagnose, or improve user retention -- including cohort analysis, churn prediction, engagement scoring, or resurrection campaigns. Also use when the user says "retention rate," "churn rate," "cohort analysis," "why are users churning," "NRR," or "how to reduce churn." For engagement loops, see engagement-loops. For activation, see activation-metrics.
11activation-metrics
When the user wants to define, measure, or optimize user activation -- including identifying the aha moment, measuring time-to-value, or building an activation funnel. Also use when the user says "activation rate," "aha moment," "setup moment," "habit moment," "time to value," or "how do I measure activation." For onboarding design, see product-onboarding. For retention, see retention-analysis.
11