Find the growth loop

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.

To: Sam Okoro, Head of Growth Subject: Next-quarter engineering allocation

Recommendation: Put both engineers on the respondent-to-creator loop: ship and rigorously measure “Make a form like this.” Don’t double paid search or build the referral programme this quarter. Keep producing SEO templates through the content team; the available evidence doesn’t show that engineering is the constraint there.

Our primary loop is: a respondent sees a Pollen badge → visits or copies the form → signs up → publishes a form → brings in more respondents. It’s our clearest product-led acquisition loop because creators’ forms distribute the invitation to make a form.

It is not currently compounding. An average active creator publishes 2.22 forms (40,000 / 18,000), producing about 267 respondent exposures per month. Applying the current badge funnel gives roughly 0.085 next-month-active creators per active creator (267 × 0.9% × 11% × 38% × 85%). That’s well below the 1.0 needed for the loop to reproduce itself.

The pilot is promising: using its 1.6% click rate and 52% publish rate, the same calculation would imply about 0.21 next-month-active creators per creator—roughly 2.4× the current rate, if those new publishers retain at the existing 85% rate. That retention is an assumption, not a pilot result. Even so, the loop would still be subcritical: it could help offset churn, but it would not independently drive exponential growth.

Engineering plan - Engineer 1: Build the copy-to-editor flow, preserving the original form’s structure and making it easy to publish a customized copy. - Engineer 2: Instrument the full funnel and run a randomized rollout against the current badge. Track respondent exposure, click, signup, publish within 30 days, and next-month activity by variant.

How we’ll know it worked: Make next-month-active creators per 1,000 respondent exposures the primary outcome, with publishing and next-month activity as required funnel checks. Compare treatment with control, and don’t assume the pilot’s 52% publish rate will hold at scale. Expand only if the lift is sustained and new creators’ next-month activity doesn’t materially underperform the current badge cohort.

Why not the other ideas: Paid search costs $38 per signup. At its observed 21% publish rate, 9% upgrade rate, and $280 average Pro revenue lifetime, that implies about $5.29 in lifetime revenue per signup before costs—poor grounds for doubling spend. SEO already brings 6,000 signups, but only 14% publish; test additional pages with the content team before assigning engineering. The referral offer has no conversion or retention evidence, and paying credit per signup risks rewarding low-intent users.

To: Sam Okoro, Head of Growth From: Product Subject: Put both engineers on the respondent-to-creator loop

Recommendation

Use both engineers to ship and validate “Make a form like this.” It strengthens our existing growth loop, has encouraging experimental evidence, and attracts creators who historically activate and retain better than creators from other channels. Don’t double paid search or build a referral programme next quarter. Keep existing SEO acquisition running, but don’t call 200 team-written pages a growth loop.

Our primary loop—and whether it compounds

Our loop is:

Creator publishes → respondents encounter Pollen → some become creators → those creators publish → more respondents encounter Pollen.

The badge connects product usage to new acquisition. SEO and paid search feed creators into that loop; they are not themselves loops. Team-written template pages don’t automatically generate more template pages.

At last month’s volume, 40,000 forms × 120 respondents implies 4.8 million respondent encounters. Applying the badge funnel gives:

Assumes pilot conversion rates hold at scale and new creators retain at the historical badge cohort’s 85% rate. These are illustrative ceilings if some of the 4.8 million encounters are on Pro forms without badges; actual forecasts must use badge-visible encounters.

The loop recurs, but we have not demonstrated self-sustaining compounding. Each existing active creator generates approximately 0.10 new publishing creators per cycle under the current funnel, or 0.085 who remain active the following month. Meanwhile, 22% of existing active creators lapse—about 3,960 of an 18,000-creator base.

The proposed experience raises those figures to approximately 0.244 new publishers and 0.207 subsequently retained creators per existing creator. That approaches churn replacement, but does not establish durable compounding. Activation and retention occur over different windows, so this is a replacement diagnostic, not an exact monthly growth forecast. Pro upgrades also remove badges, reducing future distribution.

Why this beats the alternatives

• Paid search is economically unattractive on the supplied numbers. Its $38 sign-up cost becomes approximately $181 per publishing creator. Expected lifetime revenue per publishing creator is only $25.20: 9% upgrade × $20 × 14 months, before costs. Finance approval doesn’t fix that gap.
• SEO produces useful acquisition, but the marginal return is unknown. Existing pages generated 840 publishers, versus roughly 1,806 from the badge. We don’t know what 200 additional pages would deliver, and their production remains dependent on our team.
• Referral credit rewards the wrong milestone. Paying for sign-ups invites low-intent referrals and abuse. We have no evidence of referral demand or incremental retained creators.
• The badge pilot improves two stages: clicks rise from 0.9% to 1.6%, and publishing from 38% to 52%. Together, that is 2.43× more publishers per respondent, not merely better click-through.

Engineering allocation and success criteria

Assign one engineer to the copy-to-editor experience and one to experimentation, instrumentation, and rollout safeguards, working as a single team. Copy only reusable form structure—not responses or sensitive data—and provide appropriate creator controls.

Run a persistent randomized experiment, assigned by creator to avoid mixing experiences across their forms. Measure actual badge-visible encounters, not total respondents.

Primary metric: incremental next-month-active creators per 100,000 badge-visible encounters. The baseline is approximately 32; the pilot implies 78, if retention holds. Track clicks, sign-ups, and 30-day publishing as diagnostic metrics, not the final win.

Wait for the activation and subsequent retention windows to mature. Check respondent completion, creator complaints, copied-form publishing quality, Pro conversion, and badge exposure lost through upgrades. Attribute downstream acquisition consistently and test for cannibalization of other channels.

Success means a statistically credible increase in retained creators without material guardrail deterioration. At full illustrative exposure, the opportunity is roughly 2,200 additional retained creators per monthly cohort. Separately, claim compounding only when observed cohort reproduction—including repeat publishing, churn, and badge removal—demonstrably exceeds replacement.