Soul Machines Creator Studio: Building an AI Product Creation Platform

Context

Studio is Soul Machines' self-serve platform that enables customers to design, configure, and deploy AI-powered digital people. When I took leadership responsibility, Studio had adoption but struggled with time-to-value, conversion, and retention. Customers were intrigued, but many dropped out before experiencing the core value.

I established a North Star focused on meaningful conversations delivered rather than traditional MAU metrics, recognising that Studio's value came from actual usage depth, not just platform activity. My approach evolved across two phases: 2023 focused on PLG and activation fundamentals, while 2024 shifted to retention, monetisation, and experience quality once we had solid conversion foundations.

Challenges

• Slow time-to-aha: onboarding flows were unclear, delaying activation.
• Conversion bottlenecks: free trial to paid handoffs were inconsistent.
• Retention pressure: churn was much higher than acceptable, reaching around 25%.
• Revenue growth: recurring revenue sat around $105k/month, below target.
• B2B2C telemetry bias: data over-indexed on authoring/tooling; we instrumented end-user conversation quality to find the real churn driver.

What I did

Phase 1: PLG and Activation (2023)

• Weekly metric reviews: established a ritual where every week we reviewed funnel data (traffic, sign-ups, conversion %, churn) and set tactical experiments.
• Onboarding redesign: reworked FTUE with live preview, clearer templates, and guided setup.
• Self-serve foundations: built free trial flows, usage indicators, Pro org types; deployed templates, preview popups, interactive preview; created verticalised Knowledge UX.
• Analytics infrastructure: set up funnels in Amplitude/Domo with weekly burn-down of top drop-offs to identify and fix activation barriers.

Phase 2: Retention and Monetisation (2024)

• Conversion experiments: adjusted entitlements, messaging, and trial-to-paid nudges to lift free-to-paid conversion.
• Monetisation mechanics: implemented paywalls, automated limit enforcement, annual-only downgrade path; deployed Braze lifecycle/win-backs; ran pricing and discount experiments.
• Experience protection: improved interruptions, memory, STT and avatar visuals once end-user telemetry exposed root causes of churn.
• Churn reduction: identified top drop-off points through interviews and event analytics, then shipped targeted fixes.
• GTM partnership: worked with Sales/CS on better enablement and customer journey clarity.

Results

• Conversion rate: raised free-to-paid conversion from approximately 27% to 42% (+48%).
• Revenue: expanded recurring revenue from approximately $105k to $137k/month in 2024.
• Paid customer growth: stabilised new paid customers at approximately 100/month.
• Churn: reduced churn from approximately 16% to 14%, improving cohort retention.
• Experience improvements: reduced drop-offs significantly through targeted UX fixes.
• Process: introduced a repeatable weekly experiment loop still in use by the team.
• Usage validation: reached Q3 2024 run-rate of approximately 57k conversations/month (+168% YoY growth) with a peak of 65,308 conversations in May 2024, proving customers were finding real value in the platform.
• Engagement depth: average conversation duration grew to 28.4 minutes by May 2025, with consistent YoY improvement, demonstrating that users were having substantive, meaningful interactions rather than quick trials.

Why it matters

Studio became a predictable growth engine for Soul Machines. Beyond feature shipping, I established the data-driven operating rhythm that linked metrics to tactics to outcomes. This made Studio the foundation for enterprise upsells and set the bar for experimentation in other product lines.