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.

MEMORANDUM

TO: Rachel Dunn, CEO, and Executive Team FROM: Staff Product Manager, Tutorly DATE: October 24, 2023 SUBJECT: Growth Analysis, Paid Acquisition Plan Review, and Q1–Q2 Squad Roadmap

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Executive Summary

To reach 50,000 booking parents before the Series B, we must separate our top-line metrics from the health of our marketplace engine. While growing booking parents from 37,000 to 50,000 (+35%) in two quarters is mathematically possible, tripling paid acquisition to achieve it will accelerate churn, drain cash, and mask structural supply-side liquidity issues that threaten our Series B valuation.

This memo maps our true growth mechanics, evaluates the paid acquisition proposal, and redeploys our three engineering squads to fix marketplace liquidity before we scale demand.

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Part 1: Mapping Our Growth Loops

Tutorly operates on three core loops. The numbers reveal a marketplace suffering from top-heavy demand generation sitting atop a leaking supply foundation.

``` [1. SEO & Tutor Profile Loop] (PRIMARY) Tutors onboard (44% via referral) --> Create Public Profile Pages --> Indexed by Search Engines --> Organic Search Sessions (52% of parents) --> Completed Lessons & Reviews (81% traffic to profiles w/ 3+ reviews) --> Higher Search Rankings & Marketplace Trust --> More Parent Bookings --> Tutors earn & refer peers (Loop Compounding)

[2. Parent Referral Loop] (CONTRIBUTING) Booking Parents --> Send Invites (0.31/mo) --> Referred Parents Book (14% conversion) --> High Retention (51% at 6 months, $275 LTV) --> More Parents --> More Invites (Loop Compounding, but low volume at 9% share)

[3. Paid Acquisition Loop] (DECAYING AT SCALE) Capital ($90k/mo) --> Paid Search & Social (39% of parents) --> New Booking Parents --> Low Retention (22% at 6 months, $120 LTV) --> Blended LTV:CAC drops from 2.2 to 1.1 at scale --> Capital Inefficient (Loop Decaying) ```

#### Loop Status and Metrics

1. SEO & Tutor Profile Loop (Primary | Compounding): * Status: Compounding at the top, but restricted by a liquidity bottleneck at the bottom. * The Numbers: Organic search drives 52% of new booking parents with a healthy 46% 6-month retention and $260 net LTV. However, active tutors grew +62% (14.2k to 23k), while bookings per tutor dropped from 9.1 to 6.8/month. Because 61% of new tutors get zero bookings in 60 days, they never reach 3+ reviews. Since profiles with 3+ reviews capture 81% of organic profile traffic (vs. 4% for zero reviews), our SEO asset is trapped behind unactivated supply. Furthermore, CTR on our top 200 keywords dropped from 6.1% to 5.0% due to recent SERP changes.

2. Parent Referral Loop (Contributing | Compounding): * Status: Healthy unit economics, but low absolute volume. * The Numbers: Generates 9% of new booking parents. Each active parent sends 0.31 invites/month with a 14% conversion rate. Retains exceptionally well (51% after six months) with a net LTV of $275. It compounds efficiently but lacks the velocity to move the top line alone.

3. Paid Acquisition Loop (Secondary | Decaying): * Status: Decaying rapidly at marginal scale. * The Numbers: Drives 39% of new booking parents, but retention crashes to 22% at six months (net LTV of $120). When we raised spend from $60k to $90k/month last quarter, the cost per new booking parent ($CAC$) jumped from $82 to $109.

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Part 2: Response to the Plan to Triple Paid Acquisition

Rachel, your note argues: "Our LTV to CAC is 2.2. Every dollar we don't put into paid is growth we're leaving on the table. Triple it to $270k a month and we hit 50,000 parents before the raise."

An honest view of the data shows this plan will undermine our Series B narrative. Here is why:

1. Blended LTV is a dangerous illusion: Our blended LTV is $210 against a blended CAC of $95 (yielding 2.2). But paid acquisition cohorts have an LTV of only $120. When we pushed spend to $90k/month last quarter, marginal CAC rose to $109. Tripling spend to $270k/month will push marginal CAC past $160–$180, well above the $120 LTV of paid users. We would be acquiring customers at a net loss ($40+ loss per paid parent).
2. Exacerbating the supply-side liquidity crisis: Active tutors are already seeing their monthly bookings fall from 9.1 to 6.8 (-25%) because supply (23,000) is growing faster than demand (37,000 parents). Pouring cheap, low-intent paid traffic into the top of the funnel without fixing tutor activation will worsen tutor churn, starving our primary SEO loop (which relies on active tutors getting reviews).
3. Series B Risk: Investors scrutinize cohort retention and payback periods. A 22% six-month retention rate on 50,000 paid parents signals a leaky bucket that will cause churn spikes right after our Series B closes.

Conclusion on Paid: We should cap paid acquisition at a disciplined $90k/month, focusing strictly on high-intent brand and bottom-funnel keywords where marginal CAC remains under $85.

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Part 3: Q1–Q2 Squad Roadmap

To reach 50,000 booking parents sustainably for the Series B, we must unlock supply liquidity and fix our primary organic engine. We will deploy our three squads to specific operational bottlenecks.

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#### Squad 1: Search & Discovery Squad * Mission: Reverse the CTR decline on organic search results and optimize tutor profile visibility to capture existing search demand without increasing paid spend. * Test: * Hypothesis: Redesigning the search results page (SERP) layout and introducing structured review snippets will recover our CTR from 5.0% back to baseline (6.1%) and increase profile-to-booking conversion. * Action: A/B test a revised SERP layout prioritizing tutor responsiveness and verified subject badges. * Threshold (Go/No-Go): Recovers organic traffic conversion by $\ge$ 15% within 45 days. * Stop Condition: If CTR remains flat or declines further after two iterative algorithm tests, pivot the squad to programmatic landing page generation for long-tail tutoring subjects.

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#### Squad 2: Tutor Activation Squad * Mission: Ensure new tutors get their first booking within 30 days, breaking the cold-start problem so they accumulate the 3 reviews required to unlock 81% of organic profile traffic. * Test: * Hypothesis: Lowering the barrier to initial trial lessons (e.g., introducing a standardized 30-minute introductory lesson priced at $15, where Tutorly waives commission) will drive the first completed lesson within 30 days for >50% of new tutors. * Action: Launch "Introductory Lesson Pass" for new tutors to accelerate time-to-first-review. * Threshold (Go/No-Group): Reduces the 60-day zero-booking rate from 61% down to $\le$ 40%. * Stop Condition: If zero-booking rates do not drop below 50% after 60 days, sunset the trial pass and test supply-capping (restricting new tutor onboarding in over-supplied subjects to concentrate demand).

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#### Squad 3: Parent Retention & Referral Squad * Mission: Improve early-stage retention for paid-acquired parents (who drop to 22% at 6 months) and optimize the parent referral loop. * Test: * Hypothesis: Onboarding paid-acquired parents with an automated, subject-specific tutor matching wizard rather than self-serve browsing will increase 3-month retention by 20%. * Action: Implement an AI/rules-based tutor matching onboarding flow for all non-organic acquisition channels. * Threshold (Go/No-Go): Increases 90-day retention of paid cohorts from current baseline to $\ge$ 35%. * Stop Condition: If paid cohort retention fails to improve, reduce paid spend further to $60k/month and reallocate budget to scaling our Parent Referral program (which yields a $275 LTV and 51% retention).

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Summary Table: Q1–Q2 Roadmap

Final Word

Rachel, we can hit 50,000 booking parents before the Series B, but not by brute-forcing paid channels that destroy our unit economics. By fixing tutor activation (Squad 2) and recovering search efficiency (Squad 1), we supercharge our compounding SEO loop. That is the growth story that commands a premium Series B valuation.