Diagnose a retention problem

To: Leo, Head of Growth From: PM for Activation Subject: Diagnosis: Why WAU is flat and why we shouldn’t double paid acquisition yet

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Executive Summary

WAU is not flat because of summer seasonality. It is flat because of a structural collapse in early habit retention starting in Week 5, which is currently masked by two temporary factors: the Week 6 win-back email campaign and higher sign-up volume.

Our core retained user base has dropped by over 3,200 users, and weekly churn has surged by 44% (from ~7,100 to over 10,200). Doubling paid acquisition today would pour money into an onboarding funnel that currently retains a third fewer users long-term than it did two months ago.

Here is what the data shows and what we should do instead.

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1. The Evidence: The Week 5 Onboarding Change Broke Habit Retention

If summer outdoor seasonality were the culprit, we would expect a gradual, platform-wide decay across all cohorts. Instead, the cohort data reveals an immediate step-change break between Cohort 4 and Cohort 5:

• Cohorts 1–4 (Before Week 5): Week 4 retention was steady at 33.4%–34.2%, flattening to a healthy 30% at Week 8.
• Cohorts 5+ (After Week 5): Week 4 retention plummeted to 24.5%–25.0%, and Week 8 dropped to 19.9%.

This represents a ~33% relative drop in long-term cohort retention.

Why did this happen? In Week 5, we removed the goal-setting step ("What do you want to achieve, and how many days a week?") to cut sign-up time from 3 minutes to 1 minute. While sign-up completion jumped from 61% to 74% and bumped Week 1 retention slightly (55% to 58%), we stripped away the user’s commitment and personal investment.

Stride is a habit product. Without clear goals and a tailored weekly schedule, users drop off rapidly after Week 1 because they lack direction and accountability.

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2. The Illusion: Why Topline WAU Looks Flat

If retention collapsed by a third, why hasn't WAU cratered? Two factors created an artificial floor:

1. Top-of-Funnel Inflow: Sign-ups grew ~30% (boosted by higher sign-up completion and the Week 9 paid budget increase), adding ~1,800 gross new sign-ups per week.
2. The Week 6 Win-Back "Sugar Rush": The win-back campaign added ~1,600 returning users per week (jumping from ~1,000 to ~2,600 in growth accounting).

However, this resurrected volume is extremely low-quality: * Historically, 41% of organic returning users were still active two weeks later. * For win-back users, only 12% remain active after two weeks.

We are cycling low-intent, discount-incentivized users who churn almost immediately. Meanwhile, underlying retained users dropped from 45,074 (Week 3) to 41,636 (Week 13), while churn surged from 7,116 to 10,279 per week.

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3. What Happens If We Double Paid Acquisition Now?

Doubling paid acquisition right now will accelerate cash burn without growing the business:

• Impaired Unit Economics: With Week 8 retention down from 30% to 20%, LTV has dropped sharply. Premium conversion will suffer because fewer users build the 3-week habit required to see the value of paid features.
• Higher CAC for Diminishing Returns: Scaling paid spend when the conversion engine is degraded will cause CAC to rise while payback periods stretch unsustainably.
• A Leaky Bucket: In Week 13, we added 7,847 new users and churned 10,279. Adding more sign-ups does not fix a machine that is churning users faster than it can onboard them.

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4. Recommended Action Plan

Before increasing ad spend, we need to plug the leak and fix activation.

1. Reinstate and Optimize Goal-Setting (Immediate): * Re-introduce the goal-setting and schedule-commitment step in onboarding, framed as building the user's "Personalized Weekly Plan." * Test progressive onboarding: let users quickly select goals without friction, but ensure their first workout calendar is anchored before Day 1. * Target: Return Week 4 retention to ≥33%. 2. Re-evaluate Win-Back & Lifecycle Spend: * Stop relying on the 21-day "free Premium week" email to prop up WAU. Shift CRM focus to Days 1–7 activation, reinforcing the weekly plan set during onboarding. 3. Hold Paid Social at Current Levels: * Keep paid spend flat (or pull back the Week 9 25% increase) until Cohort Week 3/4 retention recovers. 4. Scale Acquisition Once Activation Is Fixed: * Once Cohort Week 4 retention crosses 32% for two consecutive cohorts, we double paid acquisition. At that point, every dollar spent will generate 50% more long-term active users than it would today.

To: Leo | From: Activation PM | Re: Why weekly actives are flat, and why not to double paid yet

Bottom line

Summer isn't the main story. Retention of new sign-ups dropped sharply in week 5, the week we shortened sign-up. Weekly actives look flat only because more sign-ups and a win-back campaign are masking a leakier base. Doubling paid now would pour more users into a worse funnel.

What's happening

Weekly actives (WAU) went from 51,891 to 52,118 over the 13 weeks, a gain of +227. The components moved very differently:

The share of last week's actives who are still active this week fell from about 86% (week 2) to about 80% (week 13). Weekly churn rose from roughly 14% to 20%. Growth in sign-ups and returners is almost exactly cancelling a shrinking retained base.

Evidence it's the sign-up change, not summer

1. The cohort cliff is a step change. Sign-up cohorts from weeks 1–4 plateau at about 30% active by weeks 7–8. Every cohort from week 5 onward plateaus at about 20%. Week-4 retention drops from about 34% to about 25%. The break lands exactly on the week we removed the goal-setting step ("what do you want to achieve, and how many days a week?"). It doesn't appear gradually.

2. Same calendar weeks, different outcomes. Seasonality hits everyone active in a given week. In calendar week 10, the week-3 cohort (seven weeks old) is at about 30% retained. The week-6 cohort (four weeks old) is at about 24%, and it was still falling. Old cohorts held steady through August and September, so users who signed up under the old flow aren't behaving "seasonally."

3. Other changes don't fit. The week-3 workout library came before the drop and didn't move retention. The week-9 paid increase didn't change cohort quality (week 9–12 cohorts look like weeks 5–8), so the problem isn't paid traffic. It's what happens after sign-up.

4. The trade-off was a bad one. Sign-up completion rose from 61% to 74%, and week-1 retention even ticked up (about 58% vs 55%). But per 100 people starting sign-up, long-run actives fell from about 18 (61% × 30%) to about 15 (74% × 20%), roughly 19% worse. My hypothesis is that the goal and days-per-week answers fed the weekly plan, which is the core of the product. Without them, users get no plan to return to. This is inference. The change wasn't randomized, so we need to test it.

The win-back campaign is propping up the number

Returning users jumped from about 1,000 to about 2,600 a week at week 6, when win-back emails started. That's about 1,600 extra returners a week, and it's what has kept WAU flat. But only 12% of win-back returners are still active two weeks later, versus 41% of people who came back on their own before the campaign. That's roughly 190 durable users a week from about 1,600 reactivations, and it costs a free week of Premium each. Without it, WAU would be around 50,000 and visibly declining.

The comparison isn't perfectly like-for-like, because self-returners are more motivated. But the campaign is clearly adding far less durable activity than the headline suggests.

What to do instead

1. Hold paid at current levels. Don't double it. At 20% plateau retention, recovering the old 30% on about 7,500 weekly sign-ups is worth roughly 750 extra long-term actives per weekly cohort. That equals what a 50% increase in sign-ups would deliver at current quality, without spending anything.

1. A/B test restoring goal-setting, starting this week. Compare the current 1-minute flow against a version with a single "goal + days per week" screen, ideally right after account creation or at the start of the first session, so it adds seconds rather than minutes. The goal is to keep most of the completion gain and recover retention. Primary metric: week-4 retained rate. Guardrail: sign-up completion. The decision metric is retained users per 100 sign-up starts, not completion alone. Week-4 data takes about a month, so I'd also watch week-1 and week-2 retention as early signals. Then use the answers to generate the weekly plan automatically.

1. Put a holdout on win-back. Withhold the email from a random 10% of eligible users so we can measure true incremental reactivation, not just "returners." Judge it on two-week-retained reactivations and on Premium cost. Test a lighter offer or one tied to a specific plan or workout.

1. Change how we report. Show WAU split into new, returning, and retained, and add cohort week-4 retention to the weekly review. Flat WAU hid this for three months.

1. Set a gate for scaling paid. Once new cohorts' week-4 retention is back near 33% (the pre-change level), scaling acquisition is a good bet. Until then, each extra dollar buys users who mostly leave.

Caveats

• Cohort data only extends 8 weeks, and recent cohorts less. The 20% plateau is well established for weeks 5–8 cohorts and extrapolated for later ones.
• Win-back reactivations may flatter recent cohorts' later-week numbers, so the real retention gap could be slightly larger than shown.
• I don't have channel-level data, so I can't say how much of the sign-up growth is paid or whether paid cohorts differ from organic. That would be worth pulling.
• Some summer effect is plausible, but it can't explain a step change that hits only post-week-5 sign-ups.