Find the growth loop

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.

To: Rachel Dunn and executive team From: Staff PM, Tutorly Subject: Grow completed lessons and repeat demand—not acquisition spend Decision requested: Do not triple paid acquisition. Allocate the three squads to organic conversion, marketplace activation, and parent referrals for the next two quarters.

1. How Tutorly actually grows

Our primary growth mechanism is successful lessons generating review-rich profiles that attract more parents. Paid acquisition feeds this mechanism; it is not itself a compounding loop.

```text PRIMARY: ORGANIC / REPUTATION Organic discovery → parent books → completed paid lesson → parent review ↑ ↓ └──────── stronger public profile / discovery ──────┘ ↓ repeat paid lessons

PARENT REFERRAL Booking parent → invitation → new booking parent → further invitations └──────────────── repeat lessons ──────────────────┘

TUTOR SUPPLY Tutor → tutor referral → onboarding → more available tutors ↓ [only valuable if matched to demand] ↓ lessons and tutor earnings

PAID INPUT Spend → new booking parent → lessons, reviews, repeat bookings and referrals ↑ ↓ └──────────────── reinvestable contribution ─────────────────────────┘ ```

Organic/reputation: primary, compounding in structure—but constrained

Organic supplies 52% of new booking parents, with 48% still booking at six months and $260 net LTV. Profiles with at least three reviews receive 81% of organic profile sessions; reviewless profiles receive only 4%. Successful transactions can therefore create an asset that attracts subsequent transactions.

However, this is evidence consistent with the loop—not proof that reviews alone cause traffic. Established tutors may differ in other ways.

The loop has two leaks:

• 61% of profiles created in the last six months had no booking within 60 days. Without a completed paid lesson, they cannot earn reviews.
• Search CTR on our top 200 keywords fell from 6.1% to 5.0%, an 18% relative decline. Restoring it would mean 22% more clicks at unchanged impressions, not necessarily 22% more bookings.

Organic sessions grew 40%, but we lack channel-specific booking-conversion history to establish whether the loop’s yield improved. This is our strongest compounding mechanism, not an unlimited growth engine.

Parent referrals: contributing, not demonstrated to be self-sustaining

Each active parent generates 0.31 × 14% = 0.0434 new booking parents per month. At 37,000 active parents, that is approximately 1,606 gross acquisitions monthly, assuming those rates hold.

A parent active for all six months would generate only 0.26 direct recruits in that period. We cannot calculate lifetime reproduction without active-lifetime data; current evidence does not establish a self-sustaining viral loop.

Nevertheless, referrals provide 9% of new booking parents, 51% six-month retention, and $275 net LTV—our best observed acquisition quality. The $20 credit is an incentive cost, not fully loaded CAC.

Tutor referrals: contributing supply, with decaying productivity

Tutor referrals generated 44% of new tutors, at $50 per completed onboarding. But onboarding does not create parent demand.

Active tutors rose 62%, versus 20% growth in booking parents. Monthly bookings per active tutor fell 25%, from 9.1 to 6.8. Multiplying the supplied figures implies total monthly bookings rose only about 21%. We are spreading demand across substantially more supply.

At $7.20 commission per lesson, monthly platform commission per active tutor fell from approximately $66 to $49, before costs. This is declining supply productivity, not proof that tutor-referral reproduction itself is shrinking. Broad supply recruitment should stop being a growth objective.

Paid: contributing acquisitions, decaying marginal efficiency

Paid contributes 39% of new booking parents, but only 22% remain booking after six months, with $120 net LTV. Its reinvestment loop has very little demonstrated surplus at current acquisition costs.

2. Why we should not triple paid

The quoted 2.2 LTV:CAC is $210 blended LTV divided by $95 paid CAC. It mixes populations. For paid parents, the historical ratio is $120/$95 = 1.26; at the latest CAC, it is $120/$109 = 1.10.

The recent spend increase is more concerning:

• $60,000 at $82 CAC bought approximately 732 parents/month.
• $90,000 at $109 bought approximately 826.
• The additional $30,000 bought only 94 additional parents: approximately $320 marginal CAC.

That is an observational comparison, potentially affected by seasonality or mix—not a controlled estimate. It nevertheless argues against extrapolating the average CAC into a tripling.

Even assuming CAC stays at $109, $270,000 buys approximately 2,477 gross new parents/month. The increase over current spend buys about 9,900 additional parents over six months, before attrition. That does not independently close the 13,000 monthly-active-parent gap. Organic growth and reactivation may help, but acquisition totals are not active-parent totals.

Recommendation: Cap paid at no more than $90,000 monthly and remove unprofitable marginal campaigns now. Marketing, Finance and Analytics should run incrementality tests and build a source-specific cohort bridge: retained existing parents + retained acquisitions + reactivations = monthly booking parents.

For further scaling, propose a 1.5× net-LTV/incremental-CAC hurdle—CAC no greater than $80 at today’s paid LTV—with cash-payback visibility. This is a proposed risk buffer, not an observed benchmark. Earn increases in small steps; do not fund them against blended LTV.

3. Three squads, two quarters

The thresholds below are proposed decision rules. Pre-register cohort definitions, sample sizes and retention guardrails. Quarter one establishes causality; quarter two scales only passing treatments. Do not wait six months for every decision: use 60-day repeat booking as an interim guardrail, then validate mature cohorts.

Squad 1 — Organic discovery to first booking

Test: Diagnose the CTR decline, distinguishing search-engine changes from our own changes. Use matched query/page cohorts to test truthful snippets, relevant profile information and booking-path improvements. Do not assume we control external search-result layouts.

Threshold: At least 15% more first-booking parents per eligible organic impression versus control, without worse 60-day repeat booking. CTR recovery toward 6.1% is diagnostic, not the success metric.

Stop: End unsuccessful variants after a powered test, capped at 12 weeks; stop earlier for material booking or quality harm. In quarter two, expand winners across qualified profiles.

Squad 2 — First-lesson liquidity, not tutor headcount

Test: In demand-constrained categories/geographies, match suitable new tutors to genuine parent needs using availability, fit and booking support. Pause broad tutor-onboarding bounties; retain exceptions only for demonstrated supply gaps. Request honest reviews neutrally after completed paid lessons—never reward reviews.

Threshold: Reduce new-profile 60-day no-booking rate from 61% to 45% or below, while increasing total completed lessons per exposed parent by at least 10% and maintaining cancellation and repeat-booking quality.

Stop: Stop if activation merely redistributes existing bookings without increasing total lessons, or requires negative-contribution subsidies. Evaluate the first matured cohort in quarter one; scale only incremental wins in quarter two.

Squad 3 — Parent referrals after successful lessons

Test: Randomize referral prompts following successful lessons, simplify sharing and redemption, and retain the existing $20 booking-triggered credit.

Threshold: Increase invite-to-book yield from 0.0434 to at least 0.065 per active parent-month, with positive incremental contribution after credits and no deterioration in 60-day repeat booking.

Stop: Stop by week 12 if lift is attribution switching rather than incremental acquisition, economics fail, or fraud increases. Expand successful treatments in quarter two and validate six-month retention.

Bottom line: Our scarce resource is durable parent demand. Strengthen the transaction-to-reputation loop, improve matching, and amplify satisfied parents before buying substantially more low-retention traffic.