Tycoon solutionAI Head of Growth designs your referral program structure, AI Customer Support triggers invite asks at peak happiness moments (post-purchase, post-milestone, post-NPS response), AI Bookkeeper handles payouts, and AI Data Analyst tracks conversion funnel by referrer type. The program runs continuously without ever being 'your problem' again.
How it runs
- Program design
AI Head of Growth designs the incentive structure for your business: double-sided reward (refer-gets / referred-gets), tier thresholds, reward type (cash, credit, premium features, physical). Grounded in your unit economics so rewards are affordable. Proposes 2-3 variants for you to choose.
- Infrastructure setup
AI CTO wires the tracking infrastructure: unique referral codes per customer, UTM tagging, attribution in PostHog/Mixpanel, landing pages for invited friends, reward fulfillment via Stripe/credit system. You review and approve technical decisions; the AI builds.
- Trigger moment identification
AI Customer Support + AI Data Analyst identify happiness peaks in your customer journey: post-first-value moment, post-NPS score of 9-10, post-renewal, post-case-study participation, post-milestone (e.g., 'crossed $10K MRR using our product'). These become the referral ask trigger points.
- Personalized invite asks
When a customer hits a trigger moment, AI Customer Support sends a personalized invite: references the specific reason they'd love the product ('you just crossed your first $10K month — friends who are founders would love this'), includes their unique link, explains the reward. Not generic 'invite your friends' CTA.
- Referred-friend onboarding
When a referred friend signs up, AI Customer Support treats them with white-glove onboarding: welcome message mentions the referrer, extra onboarding attention, and a path to activate quickly. Referred users convert 2-3x better than cold because the social proof is real.
- Reward fulfillment
AI Bookkeeper triggers rewards automatically: cash via Stripe payout, credit via in-app wallet, premium features via entitlement flip. Referrer gets a confirmation with the specific reward earned. Referred friend gets their side of the reward. Trust compounds — both parties know the program works.
- Program health monitoring
Weekly AI Data Analyst report: referrals sent, referrals that converted, % of customers who sent an invite, top referrers, reward payout totals, LTV of referred vs non-referred users. Proposes program tweaks (incentive adjustments, new trigger moments, bottleneck diagnosis). The program sharpens over months.
Who runs it
- hire/ai-head-of-growth
- hire/ai-customer-support
- hire/ai-data-analyst
- hire/ai-bookkeeper
What you get
- Referral program live without engineering capacity drain
- 15-40% of happy customers send at least one invite (industry benchmark is 5-10%)
- Referred users convert 2-3x better than cold traffic
- Referred user LTV typically 20-40% higher (better fit from warm intro)
- Reward fulfillment automatic, no disputes from delayed/missed payouts
- Growth contribution from referrals: commonly 10-30% of new signups within 6 months
- Program optimizes monthly based on funnel data, not annually by guess