Find the growth loop

To: Rachel Dunn and the exec team From: Staff PM Re: How we grow, and the plan to triple paid

Bottom line

Our main growth engine is search and reviews, and it is leaking at the entry point. New tutors aren't getting booked, so they don't get reviews, so they don't rank. Tripling paid would add roughly $1.1M of spend over six months, bring in perhaps 2,000 to 3,000 extra parents, and still leave us well short of 50,000. I recommend holding paid at $90k a month and putting the next two quarters into fixing the primary loop.

1. How we actually grow

``` PRIMARY: SEARCH + REVIEWS New tutor profile → first booking → completed paid lesson → review ▲ (61% of new profiles: no booking in 60 days) │ Organic parent ← search ranking ← 3+ reviews (81% of organic profile sessions) ←┘ │ └→ books → completed lesson → (loop repeats)

REFERRAL (PARENTS) Booking parent → 0.31 invites/mo → 14% book → new parent → invites

SUPPLY (TUTOR REFERRAL) Tutor → refers tutor → onboarding ($50) → new tutor → needs bookings

PAID (NO LOOP) Spend → paid click → new parent → 22% still booking at six months ```

Why search and reviews is primary: it is the largest source, it carries no per-parent cost, and it is the only loop that gets stronger as reviews accumulate. Profiles with three or more reviews get 81% of organic profile sessions; profiles with none get 4%.

Where it's leaking: - 61% of profiles created in the last six months had no booking within 60 days, so they never accumulate reviews. - Click-through on our top 200 keywords fell from 6.1% to 5.0% (−18%) after the March results-page changes. Organic sessions are up 40%, but that growth is concentrated in established profiles. - Supply grew 62% (14,200 to 23,000 active tutors), while bookings per active tutor fell from 9.1 to 6.8 a month (−25%). Total monthly bookings rose only about 21% (129k to 156k, my calculation). At 18% of $40, net revenue went from about $0.93M to $1.13M a month. We are growing supply faster than we are converting it.

Two numbers to correct before the offsite: - The 2.2 LTV:CAC mixes two different things. It divides blended LTV ($210) by average CAC ($95). Paid parents are worth $120 in LTV. At today's marginal paid CAC of $109, paid returns about 1.1x, not 2.2x. - Referral data doesn't reconcile. Each active parent sends 0.31 invites a month and 14% of invites book, which is about 0.043 new parents per active parent. Across 37,000 active parents, that implies roughly 1,600 referred parents a month. The reported 9% share implies roughly 200 a month, given paid's ~800 new parents a month at 39% of the mix. One of these figures is wrong by roughly 8x. We should not scale referral spend until attribution is fixed.

2. The plan to triple paid

• The gap is large. Reaching 50,000 means +13,000 parents (+35%) in six months. Over the last twelve months we added a net 6,000.
• Costs rise faster than spend. Raising spend 50% ($60k to $90k) pushed CAC up 33% ($82 to $109). If that curve holds, tripling spend implies a CAC of roughly $200 to $235. This is a rough extrapolation, and marginal CAC is probably higher.
• The output is small. Tripling adds roughly 320 to 520 parents a month, or 2,000 to 3,000 over six months, for about $180k more spend each month. At 22% six-month retention, no more than about 700 of those would still be booking at the end.
• The realistic outcome is 40,000 to 42,000 by month six, on current trend plus the squad plan. That is my estimate, and it assumes no step-change in organic growth.

Recommendation: Do not triple. Hold paid at $90k a month. Pause any campaign or keyword whose CAC is above $120, since that is roughly the break-even point on its own LTV. Report paid on marginal CAC and payback, not blended LTV:CAC. Redirect the freed budget to referral credits and search fixes.

3. Where the three squads should go

Squad 1: Reviews and first bookings (primary loop entry) - Test: Give zero-review profiles a first-booking boost in search and discovery, using non-review signals such as verified credentials, availability, and response time. Automatically prompt parents to review after each completed paid lesson, with no incentive attached. Move the $50 tutor referral payout from onboarding to first completed booking. - Threshold: Share of new profiles booked within 60 days rises from 39% to 50% or more by the end of Q1. Review rate on completed lessons rises 20% relative to a baseline we measure in week one. - Stop: No lift in first-booking rate after eight weeks, or cancellations or complaints on boosted profiles worse than control.

Squad 2: Search click-through recovery - Test: A holdout on the top 200 keywords that reverts the March results-page changes for half the keywords, while testing profile snippet and structured-info variants on the rest. - Threshold: Click-through back to 5.6% or higher within eight weeks (recovering about half the drop), and 6.1% by the end of Q2. - Stop: No recovery after two test cycles, or organic bookings per session falling.

Squad 3: Parent referral (cheapest acquisition) - Test: First, reconcile referral attribution in weeks one and two. Then test a review-free prompt after a parent's first completed lesson, and a $30 versus $20 referrer credit. Credits reward bookings, not reviews, so this stays within our rules. - Threshold: Referral share of new parents rises from 9% to 12% by the end of Q2, with an all-in cost per referred booker under $40 (against $109 for paid). - Stop: Invite-to-booker conversion stays below 14% after eight weeks, or cost per referred booker exceeds $40.

Paid stays with the existing team and is not one of the three squads.

4. Decisions for the offsite

1. Reject tripling. Hold paid at $90k a month with a $120 CAC ceiling.
2. Reset the 50,000 target. Commit to about 42,000 at the raise and show investors marginal paid CAC, bookings per active tutor, and organic share of new parents. A smaller number with clean unit economics is a stronger story than a target that paid spend cannot reach.
3. Fix referral attribution this week before any referral spend is scaled.

To: Rachel Dunn and Executive Team From: Staff PM, Tutorly Subject: Grow booking demand, not acquisition spend Planning horizon: Next two quarters

Recommendation

Do not commit to $270,000/month in paid acquisition. Our primary growth engine is organic discovery of proven tutors, reinforced by completed lessons and reviews. That engine is growing, but its distribution is concentrated and its conversion into bookings is weakening. Meanwhile, tutor supply is growing much faster than demand, and paid acquisition has deteriorating marginal economics.

Put our three squads on organic discovery, demand-led tutor activation, and parent referrals. Keep paid acquisition as a tightly gated contributor—not the engine assumed to deliver 50,000 booking parents.

1. How we actually grow

```text PRIMARY: Organic discovery / reputation Search → tutor profile → booking → completed paid lesson → genuine review → stronger discovery/conversion → more bookings

Parent referrals Booking parent → invitation → new booking parent → invitations

Tutor referrals Active tutor → referred tutor → onboarding → additional supply → bookings only if matching parent demand exists

Paid acquisition / reinvestment Spend → new booking parent → repeat lessons → commission → acquisition budget → more spend ```

Organic/reputation: our primary compounding mechanism, but uneven and constrained. Organic supplies 52% of new booking parents, versus paid’s 39% and referrals’ 9%. These parents have 48% six-month retention and $260 net LTV. Completed lessons generate reviews, which can improve subsequent discovery and conversion without buying every next customer.

Profiles with at least three reviews capture 81% of organic profile sessions; unreviewed profiles capture only 4%. This supports the mechanism, but does not establish that reviews alone cause the traffic difference.

The warning signs are substantial:

• Organic profile sessions rose 40%, but booking parents rose only 20%.
• Search CTR fell from 6.1% to 5.0%, an 18% relative decline.
• 61% of recently created profiles had no booking within 60 days—and therefore no reviews.

This is a reinforcing loop concentrated in established profiles, not proof that adding more profiles compounds demand.

Parent referrals: contributing, not yet demonstrably self-sustaining. Each active parent generates:

`0.31 invites/month × 14% conversion = 0.0434 new booking parents/month`

That is 4.34 new booking parents per 100 active parents per month. Even six fully active months produce only 0.26 referred booking parents per parent. We lack lifetime active-month data to calculate a full reproduction rate.

Referral customers are valuable: 51% six-month retention and $275 net LTV, with a $20 credit per successful referral. But the credit alone is not the fully loaded, incremental CAC.

Tutor referrals: contributing supply, with decaying demand yield. They produced 44% of new tutors, incentivized by $50 per onboarded tutor. Tutor count grew 62%, while bookings per active tutor fell 25%, from 9.1 to 6.8.

Multiplying those figures suggests monthly bookings increased roughly 21%—from 129,000 to 156,000—while supply expanded three times as quickly. Onboarding more tutors is not equivalent to growing the marketplace. We cannot establish that tutor referrals are self-compounding; their booking yield is deteriorating.

Paid: contributing customers, with decaying marginal economics. Paid delivers 39% of new booking parents, but only 22% remain booking after six months, and their net LTV is $120. Each $40 lesson yields $7.20 commission, before other costs. Reinvestment is possible only if acquisition leaves enough economic surplus; spend itself is not a compounding advantage.

2. Why tripling paid is not the current answer

The quoted 2.2 LTV:CAC divides blended LTV, $210, by paid CAC, $95. It combines different customer populations.

Paid’s actual ratios are:

• Annual average: $120 / $95 = 1.26
• Latest quarter: $120 / $109 = 1.10

That leaves only $25, then $11, of lifetime surplus per acquired parent on the supplied net-LTV basis.

The marginal picture is worse:

• $60,000/month at $82 CAC bought approximately 732 parents.
• $90,000/month at $109 CAC bought approximately 826 parents.
• The extra $30,000 bought only 94 additional parents: approximately $319 per additional parent.

This before/after comparison is not a controlled incrementality estimate, but it is a strong warning against extrapolating average CAC.

Even if CAC stayed at $109, $270,000/month would acquire approximately 2,477 parents/month. Relative to current spend, that adds roughly 9,900 gross parents over six months, before churn—not the 13,000 net increase required to reach 50,000. Organic and referrals could close part of that gap, but the pack lacks monthly cohort flows needed to forecast it honestly.

Decision: Freeze paid at no more than $90,000/month during a four-week incrementality audit; reduce spend where marginal economics fail. Release additional budget in steps of at most 25%, not a single tripling. Require incremental CAC of $80 or less—a proposed 1.5× paid LTV:CAC hurdle—and no deterioration in cohort quality. Stop any expansion that fails that hurdle. These are management thresholds, not observed performance.

3. Three squads for two quarters

Squad 1 — Recover organic booking demand

Test: Diagnose the CTR decline, then test search-facing changes we control—titles, snippets, profile information and relevant landing experiences—using matched keyword/profile holdouts. Prioritize proven tutors with available capacity. Do not assume we can reverse external search-results changes.

Threshold: Within 8–10 weeks, achieve at least 10% lift in organic first-booking conversion per eligible search impression, with CTR trending toward 5.8% or better, and no deterioration in cancellations or early repeat booking versus control.

Stop condition: Stop variants that improve clicks without incremental bookings. If two adequately powered iterations fail, redirect from presentation fixes to intent and landing-page mismatch.

Quarter two: Scale winning changes; continue measuring completed lessons and cohort retention, not sessions alone.

Squad 2 — Activate supply where demand exists

Test: Pause broad tutor-referral expansion. In underserved subject/time/location segments, test availability guidance and matching that help new tutors earn their first paid, completed lesson. Randomize at market-cluster level to detect displacement from existing tutors.

Threshold: Reduce the 60-day no-booking rate from 61% to 50% or lower, while increasing total completed bookings in treated markets by at least 5%. Require non-negative incremental contribution after intervention costs.

Stop condition: Stop if new-tutor activation merely redistributes existing bookings or worsens cancellations and lesson quality.

Quarter two: Expand only in demonstrated demand gaps. Request honest reviews after completed lessons; never reward reviews or require positive feedback.

Squad 3 — Grow retained demand through parent referrals

Test: Keep the $20 referral credit unchanged. Test referral prompts after successful lessons and repeat bookings against randomized holdouts. Own the paid incrementality audit as the common acquisition-measurement workstream.

Threshold: Raise invitations from 0.31 to at least 0.45 per active parent/month, maintain 14% conversion, and demonstrate at least 25% lift in incremental referred booking parents, with fully loaded incremental CAC below $80 and early repeat booking no worse than control.

Stop condition: Stop prompts that cause annoyance, reduce repeat booking, or merely relabel parents who would have arrived organically. Do not scale on invitations alone.

Quarter two: Scale proven referral treatments; validate six-month retention as cohorts mature.

The offsite should approve these experiments and gates—not an unsupported acquisition forecast. Our objective is 50,000 booking parents, not 50,000 acquired accounts or an ever-larger tutor directory.