Onboarding monetization
Built the onboarding monetization journey from the ground up, connecting entry, value understanding, paid offers, and trial starts.
SOLVELY · AI EDUCATION MONETIZATION
Solvely: Subscription Growth Across the Monetization Funnel
Work spanning onboarding, paywalls, trial conversion, subscription cancellation, win-back journeys, and revenue analytics. This experience is a central part of my App monetization consulting practice.
Product context and my role
Solvely is an AI education product for students, with photo-based homework solving and AI study assistance. This case focuses on my monetization work. Solvely's website and App Store listing provide product background.
- Product
- Consumer AI education app, primarily targeting the US market
- Revenue model
- Subscriptions and in-app purchases (IAP)
- My role
- Monetization lead covering subscription conversion, onboarding, paywalls, segmentation, pricing, promotions, win-back, experiments, and dashboards
Reported project results
| Metric | Project record | Context |
|---|---|---|
| Subscription revenue | Approx. $4M → $10M+ | Product revenue change during my monetization work; the reporting period is not public. |
| Monthly active trial conversion | 15% → 24% | Uses the metric label from project records. |
| Paid conversion | 7% → 11% | The denominator and observation window are not detailed publicly. |
| Next-month subscription cancellation | 25% → 10% | Cancellation and refund rates are distinct metrics. |
| LTV | 55 → 75 | Uses the original project definition; currency and prediction window are not public. |
These figures are drawn from my account of the project, not current Solvely operating data or an independent audit. Overall revenue growth reflects team and business contributions and is not attributed solely to an individual experiment. Product links establish context, not verification of these figures. Comparisons require consistent metric definitions.
What my work covered
Paywalls and purchase paths
Worked on paywall presentation, benefit communication, and purchase steps, reviewing page conversion alongside downstream trial and payment outcomes.
Segmentation, pricing, and promotions
Built behavior-based segments and designed pricing, discounts, and promotions for different audiences, using experiment data to evaluate revenue effects.
Subscription lifecycle and win-back
Covered trial expiry, subscription abandonment, and paywall exits through push, email, and SMS journeys, while observing renewal, cancellation, and refund behavior.
Experimentation and measurement
Advanced configurable monetization flows to support iteration, and built core metric and experiment dashboards connecting user behavior to revenue outcomes.
Product and growth collaboration
Worked with product and growth teams on implementation and reviews, using acquisition and behavior data to guide revenue improvements.
Applying the approach to your product
The transferable part is the diagnostic process: align metrics, locate friction, choose experiments, and review results. Prices, trigger timing, and conversion targets need to be evaluated against your users, costs, and product value.
- Trials without purchases: examine who starts a trial, the value they experience, and the first charge outcome.
- Weak paywall performance: separate reach, purchase intent, and payment success instead of relying on one blended rate.
- User growth without revenue growth: compare first purchases, renewals, and revenue contribution by source and cohort.
- Unstable experiment results: check allocation, definitions, and observation windows before expanding a change.
Start Here
Start with one deep conversation
From product funnel, subscription conversion, Paywall, pricing experiments to monetization data infrastructure, we clarify the key problems in one conversation.
meldream2020@163.com