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 From: Product Subject: Put both engineers on the respondent-to-creator loop

Recommendation

Assign both engineers to “Make a form like this” next quarter: one to a safe, reliable copy-to-editor experience; the other to attribution, experimentation, and activation measurement. Do not double paid search or build the referral programme. Keep existing template acquisition running, but do not make 200 new pages the engineering priority.

Our primary growth loop

Creators publish forms → respondents encounter Pollen → some become creators and publish → their forms reach more respondents.

The badge closes this loop. Templates and paid search feed creators into it, but are not themselves loops: team-written SEO pages require more team production, and paid acquisition requires more spend.

Using the supplied volumes, last month’s 40,000 forms generated approximately 4.8 million respondent encounters:

The badge is our largest acquisition source by activated creators and our strongest by next-month retention: 85%, versus 71% for templates and 64% for paid.

These badge totals assume the respondent volume is eligible to see the badge. Pro removes it, so we must measure actual badge exposure before treating these as forecasts.

Is it compounding?

It recirculates, but we have not demonstrated self-sustaining compounding.

At current rates, each active creator generates approximately 0.10 new publishing creators per monthly production cycle. Meanwhile, 22% of active creators do not return the next month.

A simplified replacement model therefore gives:

78% returning + 10% newly generated = 88% of the starting base.

The loop alone does not currently replace creator attrition. External acquisition can still grow Pollen, but that is different from autonomous compounding. This calculation is directional: publication, activation, and retention windows are not perfectly aligned, and future cohorts may retain differently.

The pilot is promising. Its click and publication rates imply 2.43 times as many new publishing creators per respondent:

• Current: 0.376 publishing creators per 1,000 respondents
• Pilot: 0.915 per 1,000

At unchanged volume, that would mean approximately 4,393 new publishing creators, versus 1,806 today. The same simplified replacement model reaches 78% + 24.4% = 102.4%—potentially crossing the self-sustaining threshold, but narrowly. Badge coverage, cohort maturity, retention, and repeat production could erase that margin.

Why this beats the alternatives

Paid search: Current spend is $79,800, or approximately $181 per publishing creator. Applying our overall upgrade rate and Pro lifetime, expected lifetime subscription revenue per publishing creator is only 9% × $20 × 14 = $25.20, before costs. Channel-specific monetization could differ, but the supplied economics do not justify scaling. Finance approval is not evidence of profitable growth.

More templates: They produce useful acquisition, but weaker activation and retention than the badge. We also have no evidence that 200 additional pages would reproduce existing traffic or conversion.

Referral credits: Paying for sign-ups rewards an intermediate action, invites low-quality referrals, and lacks pilot evidence. Revisit an activation-based incentive later.

Delivery and proof

Engineer 1: Build the contextual editor entry and reliable form-copy flow. Copy only permitted form structure—not respondent submissions, credentials, or integrations—and provide appropriate creator controls. Preserve Pro’s badge-removal benefit.

Engineer 2: Instrument exposure through publishing, next-month activity, downstream form distribution, and Pro conversion; run a persistent randomized test, clustered by source creator.

Our primary success metric is incremental creators publishing within 30 days per 1,000 eligible respondent encounters, not clicks or sign-ups. Target at least 2× control, with a statistically credible lift and no material deterioration in next-month retention.

Track form-completion rate, privacy complaints, Pro conversion, and badge-removal behavior as guardrails. Validate the pilot’s reported 30-day activation on mature cohorts; a two-week pilot alone cannot establish that outcome for every participant.

Finally, follow acquired creators’ subsequent publishing and respondent reach. Declare compounding only when mature production cohorts show that returning creators plus loop-generated creators consistently exceed the starting base without increased external acquisition.