Find the growth loop

MEMO

To: Sam Okoro, Head of Growth From: Product Management Date: May 24, 2024 Subject: Q3 Growth Engineering Allocation & Loop Analysis

Sam,

Ahead of Q3 planning, I analyzed our acquisition data to determine where we should allocate our two growth engineers.

The short answer: Both engineers should be dedicated to Idea #4 (the "Make a form like this" badge upgrade). It is the only option that pushes our primary viral loop past its tipping point into true compounding growth.

Here is the math behind where we stand today and why this is our highest-leverage move.

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1. Our Primary Growth Loop (and Why It Isn’t Compounding Yet)

Our primary growth engine is our viral badge loop: Active Creators $\rightarrow$ Publish Forms $\rightarrow$ Collect Responses $\rightarrow$ Respondents Click Badge $\rightarrow$ Sign Up $\rightarrow$ Publish Forms.

Last month, this loop generated 59% of all new active creators (1,806 published creators via the badge, compared to 840 from SEO templates and 441 from paid search). Badge-acquired creators also have our highest activation rate (38%) and highest next-month retention (85%).

However, this loop is currently sub-critical (not compounding).

To compound, our net growth rate must exceed our monthly creator churn. Here is the math on last month’s performance: * Free Creators: Of our 18,000 active creators, 9% (1,620) upgraded to Pro, removing the badge. That leaves 16,380 free creators driving the loop. * Impressions: At an average of 2.22 forms per creator (40k / 18k) and 120 respondents per form, each free creator generates 266.7 badge impressions. (4.37M total impressions across the free base). * Conversions: 4.37M impressions $\times$ 0.9% CTR = 39,312 clicks $\times$ 11% signup rate = 4,324 signups $\times$ 38% publish rate = 1,643 new active creators. (Note: Even if Pro forms carried badges last month to yield 1,806 new creators, the per-creator math remains the same). * The Viral Factor ($K$): 1,643 new creators / 16,380 free creators = 0.10 new creators per active free creator per month.

The Churn Problem: We lose 22% of our active creators each month (78% retention), and another ~9% upgrade to Pro and exit the viral loop. Because our viral generation rate (+10%) is lower than our loop attrition (-22% to -31%), the loop is decaying on its own. Right now, our total creator base is only growing because we prop it up with linear channels (SEO and Paid Search).

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2. Evaluating the Four Ideas

1. Double Paid Search Budget (Pass — Negative ROI) * We pay $38 per signup, and 21% publish. That is a $181 CAC per active creator. * Only 9% of active creators upgrade to Pro ($20/mo for 14 months = $280 LTV). That means our expected LTV per active creator is only $25.20 ($280 $\times$ 9%). * Verdict: We are losing ~$155 on every active creator we buy. Not only does this not require engineering, we should actually talk to Finance about cutting this spend, not doubling it.

2. "Build our SEO Loop" with 200 Template Pages (Pass — Not a Loop) * Because our team writes these pages rather than our users, this is a linear content marketing funnel, not a compounding loop. * Furthermore, template signups have our worst activation rate (14% publish vs. 38% for the badge) and mostly calls on content/design resources, not engineering.

3. Referral Programme for $10 Pro Credit (Pass — Low Leverage) * Only 9% of creators care about Pro features enough to pay for them; for the other 91% on our free tier, $10 in Pro credit is an weak incentive. Building a referral ledger and billing integration will easily eat two engineers' quarter for an unproven, likely tiny audience.

4. "Make a form like this" Badge (WIN — Pushes Loop to Compounding) * By dropping respondents straight into an editor with a cloned template, our 500-form pilot radically improved the funnel: CTR jumped from 0.9% to 1.6% (+78%), and the publish rate jumped from 38% to 52% (+37%). * New Loop Math: 266.7 impressions per creator $\times$ 1.6% CTR $\times$ 11% signup $\times$ 52% publish = 0.244 new active creators per free creator each month. * Even accounting for the 9% of creators who upgrade to Pro and remove the badge, every active creator now generates 0.222 new creators/month. Combined with the higher retention of badge cohorts (85%, or only 15% churn), our viral inflow (+22.2%) finally outpaces cohort churn (-15%). This makes Pollen self-sustaining and genuinely compounding. * Rolling this out across 40,000 forms next month will take our monthly badge-driven active creators from ~1,800 to ~4,390 (+2,590 net new creators/month), adding ~$65,000 in new LTV every single month from Month 1.

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3. Recommendation & Success Metrics

Put both engineers on Idea #4 to build the form-cloning architecture, handle privacy/sanitization (ensuring respondent data isn't copied over with the form structure), and ship the new badge UI to 100% of free forms.

How we’ll know it worked (Success Metrics for Q3): 1. Badge CTR: Sustains at $\ge 1.5\%$ across all free forms (up from 0.9%). 2. Signup-to-Publish Rate: Sustains at $\ge 50\%$ within 30 days for badge signups (up from 38%), without cannibalizing the 11% click-to-signup rate. 3. Guardrail Metric: Creator complaint/churn rate remains flat (verifying that original creators don't mind having their form structures cloned). 4. North Star Impact: Monthly new published creators from the badge increases from ~1,800 to >4,000/month within 30 days of full rollout.

To: Sam Okoro From: PM, Growth Re: Where the two engineers go next quarter

Recommendation

Put both engineers on the badge loop (idea 4, "Make a form like this"). None of the other three ideas needs engineers, and two of them I'd decline outright.

Our primary loop

A creator publishes a form, respondents see the badge, some click and sign up, some of those publish, and those forms carry the badge to more respondents.

Last month this produced about 1,800 new publishers: 40,000 forms × 120 respondents = 4.8M respondents → 43,200 clicks → 4,752 sign-ups → ~1,806 publishers. That is 58% of our ~3,090 new publishers (templates ~840, paid ~441). It is also our best-retained source: 85% active next month, versus 71% for templates and 64% for paid. Badge sign-ups look like only 37% of the total, but sign-ups aren't the number that matters.

Is it compounding? Not yet

Each active creator brings in about 0.10 new publishers a month (1,806 / 18,000). At 78% monthly retention a creator stays active ~4.5 months, so one creator produces ~0.45 successors over their life. Below 1.0, each cohort is smaller than the one it came from. Today the loop is a roughly 1.8× multiplier on what other channels bring in, not a self-sustaining engine.

The four ideas

A publisher is worth about $25 in subscription revenue (9% upgrade × $20 × 14 months).

1. Double paid search. About $80k more a month buys ~440 publishers at today's $38 sign-up cost, which will likely worsen at the margin. That is ~$181 per publisher against ~$25 of revenue, plus ~$11 of loop value. Even today's spend recovers only a fraction of its cost. It needs no engineers, so it isn't competing for them, but I wouldn't spend it just because Finance approved it.
2. 200 template pages. These are worth doing, but they are a funnel, not a loop: a visitor converts and nothing feeds back into more pages. The work is writing, not engineering. Fund it from content, and I need the per-page yield from today's pages before sizing it.
3. Referral. It duplicates what the badge already does, in a less natural place. A $10 credit per sign-up costs $26–$71 per publisher at the 14–38% publish rates we see, against $25 of value. Credit is also only useful to Pro customers, who are a small share of creators. We have no evidence it works.
4. Badge → clone. This is the only idea that acts on the loop itself.

Why idea 4

In the pilot, clicks rose from 0.9% to 1.6% of respondents, sign-up held at 11%, and publish rate went from 38% to 52%. Publishers per respondent rise 2.4× (0.0375% → 0.0915%). Applied to all forms, that is ~4,400 badge publishers a month instead of ~1,800, or about +2,600 a month, worth ~$65k of lifetime subscription revenue per monthly cohort. Loop gain per creator moves from 0.10 to ~0.24 a month, or ~1.1 over a creator's life. That is the edge of self-sustaining, and the first time we'd have a real chance of compounding.

Caveats: - The pilot was small. 500 forms gave about 106 sign-ups, so the 52% publish rate is roughly ±10 points. At the low end (43%), lifetime loop gain is ~0.9. At the high end it's ~1.3. So "compounding" is plausible, not proven. - A two-week pilot can't have a full 30-day publish window for late sign-ups. - We have no retention data on clone-sourced creators. The 85% may not hold. - I've assumed the badge appears on all forms. Pro forms don't show it, so the true per-badge rate may be higher.

How the engineers split

• Engineer 1: roll-out and safety. Ship the clone flow to all forms behind a randomised test. Make sure the copy carries structure only, never responses or anything private. Handle edge cases such as logic and integrations.
• Engineer 2: the leaks after the click. 89% of clickers don't sign up, and 48% of sign-ups don't publish. Test letting people edit the copy before a sign-up gate, plus a guided path to first publish. Also build the loop dashboard below.

How we'll know it worked

Test design: randomise at the form level, ~5,000 forms on the new badge and the rest as control, for 4 weeks. That yields ~1,000 sign-ups, enough to pin the publish rate to about ±3 points. Read the result at week 6, once the 30-day window closes.

Primary metric: badge-sourced new publishers per active creator per month. Baseline is 0.10, and the target is ≥0.20 by quarter end (the pilot implies 0.24). That is ~3,600+ badge publishers a month versus ~1,800 today.

Guardrails (full rollout only if all hold): - Click→sign-up ≥10%. - Publish within 30 days ≥45%. - Next-month retention of clone-sourced creators ≥75%. - Pro upgrade rate of the cohort ≥ today's 9%.

Kill or rework: publish rate below 42% or retention below 70% at week 6.

Quarter-end question: is lifetime loop gain ≥1.0? If it lands at 0.6–0.9, we've still roughly doubled a multiplier. We should then say plainly that the loop amplifies other channels rather than compounding, and invest accordingly.

MEMO

To: Sam Okoro, Head of Growth From: Product Management Date: Current Subject: Engineering Allocation for Next Quarter: Doubling Down on Our Primary Growth Loop

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Executive Summary

Our primary growth engine is our product-led viral loop (forms $\to$ respondents $\to$ badge clicks $\to$ creators $\to$ new forms). While powerful, it is currently amplifying, not self-compounding ($K < 1.0$).

Both engineers should be dedicated to Idea 4 (“Make a form like this”). The pilot proved a 143% lift in publishing creators from our highest-volume, highest-retention channel. Conversely, Paid Search is deeply unprofitable, SEO templates are editorial rather than engineering work, and referrals solve an acquisition problem we can address organically for free.

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1. Our Primary Growth Loop & Why It’s Not Yet Compounding

Our primary growth loop is driven by the form badge:

$$\text{Active Creators} \longrightarrow \text{Published Forms} \longrightarrow \text{Respondents} \longrightarrow \text{Badge Clicks} \longrightarrow \text{Sign-ups} \longrightarrow \text{Publishing Creators}$$

Current Monthly Metrics (Badge Loop): * 4.8M respondents ($40\text{k forms} \times 120\text{ respondents}$) * 43,200 clicks ($0.9\%$) $\to$ 4,752 sign-ups ($11\%$) $\to$ 1,806 new publishing creators ($38\%$) * Retention: Badge creators have our highest month-two retention (85%, vs. 71% for SEO and 64% for Paid).

Is it compounding? No—not in the runaway sense. * Each active creator publishes $\approx 2.22$ forms, reaching 267 respondents. * At baseline conversion rates, one publishing creator generates only 0.10 new publishing creators per cycle ($267 \times 0.009 \times 0.11 \times 0.38$). Even accounting for creator lifetime retention, the viral factor ($K$) remains well below $1.0$. * The loop is an amplifier of other top-of-funnel acquisition, but it cannot sustain compounding growth on its own without steady top-of-funnel inputs. To move closer to a true compounding state, we must dramatically increase loop velocity and cycle conversion.

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2. Evaluation of the Four Ideas

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3. Engineering Allocation: 100% to Idea 4

We should allocate both engineers to productionize and optimize “Make a form like this.”

This is an architectural and UX challenge, not a copy change: 1. Sanitized Form Duplication: Automatically clone questions, logic, and layout while stripping respondent data, webhooks, and private settings. 2. Instant Preview & Onboarding Editor: Drop users directly into a pre-populated editor session before forcing account creation to preserve the pilot's 52% activation rate.

Expected Impact: * Monthly badge publishing creators will increase from 1,806 to 4,393 (+143%). * Revenue impact: 2,587 incremental publishers $\times 9\%$ Pro conversion $\times \$280\text{ LTV} =$ \$65,190 in incremental LTV added per month ($\approx \$780\text{k annualized}$), with zero marginal ad spend. * It raises our loop factor ($K$) from $\approx 0.10$ to $\approx 0.24$ per cycle, dramatically accelerating organic compounding.

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4. How We'll Know It Worked

We will run a 50/50 randomized split test across all active forms.

#### Primary Success Metric * New 30-Day Publishing Creators generated per 100,000 respondents (Baseline: 37.6 $\to$ Target: $\ge 91.5$).

#### Guardrail & Funnel Metrics * Badge Click-Through Rate: Maintain pilot performance at $\ge 1.6\%$. * Sign-up Conversion: Maintain baseline at $\ge 11\%$. * 30-Day Publish Rate: Maintain pilot performance at $\ge 52\%$. * Form Quality Guardrail: Ensure month-two retention for cloned-form creators matches or exceeds the 85% badge baseline. * Pro Conversion Rate: Confirm downstream Pro upgrade rate stays constant at $\approx 9\%$.