Diagnose a retention problem

Leo — I wouldn’t double paid acquisition yet. The flat WAU is masking a retention problem, not showing that summer is the whole story.

• The active base is eroding while inflows hide it. From week 1 to week 13, new users rose from 6,034 to 7,847 (+30%), but retained users fell from 44,884 to 41,636 (−7%). Weekly churn rose from 7,116 to 10,279. WAU stayed near 52,000 because more new users—and, from week 6, more returning users—offset that loss.
• New-user retention deteriorates sharply after week 4. For the first four signup cohorts, week-4 retention was 33–34%, and week-8 retention about 30%. For cohorts in weeks 5–8, week-4 retention was 24–25%; week-5 retention was about 22%, versus about 32% for the earlier cohorts at the same age. Week-1 retention actually improved (roughly 54–55% to 58%), then users fell away faster. So sign-ups are easier to get, but fewer people build a lasting workout habit.
• The timing points to a product change worth investigating. In week 5, we removed the goal-setting step. Sign-up completion rose from 61% to 74%, while the cohort retention pattern worsened immediately. That’s strong evidence to investigate whether the change brought in less-committed users or removed useful personalization—not proof that it caused the decline. Seasonality may contribute, but it doesn’t explain away the sharp cohort break.
• Win-back lifts WAU more than durable retention. Returning users rose from about 1,000 to about 2,600 a week after the week-6 campaign. But only 12% of email-returners were active two weeks later, compared with 41% of people who returned on their own. The campaign may be adding short-lived activity, not repairing the underlying habit problem.

What I’d do before scaling spend:

1. Test the onboarding change now. A/B test restoring goal-setting (or a shorter version) against the current flow. Measure signup completion alongside week-1 activation, week-4/8 retention, and workouts completed—not just registrations.
2. Improve the first-week habit loop. Give users a clear, personalized weekly plan and a timely next-workout prompt. Track results by signup week, onboarding version, and acquisition channel.
3. Put win-back on a holdout. Measure incremental, sustained activity and Premium conversion against users who don’t receive the offer; don’t count the initial return as success.
4. Hold off on doubling acquisition. The week-9 paid increase came after the retention decline had already begun. Scale only when newer cohorts retain better and paid users show acceptable downstream value.

Fixing the leak first gives us a better chance of turning additional acquisition into durable actives rather than more short-lived sign-ups.

To: Leo, Head of Growth From: PM, Activation Subject: Diagnosis: Why WAU is flat (and why doubling paid acquisition right now will burn cash)

Leo, you suggested doubling paid acquisition to push through flat summer WAU. I’ve dug into the numbers, and the data tells a different story.

Weekly actives are flat (averaging ~52,000 for 13 weeks), but sign-ups are up 30% (from ~6,000 to ~7,800). The issue isn't seasonal churn—it's that our onboarding changes broke cohort retention, and our win-back campaigns are masking the leak.

Doubling down on paid acquisition right now will just pour more water into a bucket with a widening hole. Here is the diagnosis, the evidence, and what we should do instead.

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1. What’s actually happening?

#### A. Onboarding optimization created low-intent users (Week 5) In Week 5, we removed the goal-setting step to cut sign-up time from 3 minutes to 1. Completion jumped from 61% to 74%, and sign-ups grew.

However, look at the cohort data (`weeklysignupcohorts.csv`). For Cohorts 1–4 (pre-change), Week 1 retention hovered around 55%, and Week 4 retention was ~34%. From Cohort 5 onward, Week 1 retention jumped to ~58% (thanks to frictionless sign-up), but Week 4 retention cratered from ~34% down to ~25%.

By removing goal-setting, we optimized for top-of-funnel conversion at the expense of user intent. We are acquiring users who don't know why they are here or what plan fits them, leading them to drop off heavily by week 4.

#### B. Core retention is quietly declining Look at the growth accounting data (`weeklygrowthaccounting.csv`). Total `retained_users` (users active week-over-week) dropped steadily from ~44,800 in Week 1 to ~41,600 in Week 13, a loss of over 3,200 loyal weekly actives.

#### C. Win-backs are masking the bleeding So why is WAU flat if retained users dropped by 3,200? Look at `returning_users`. From Weeks 1–5, returning users averaged ~980 per week. Starting in Week 6 (when the win-back email launched), returning users spiked to ~2,600 per week.

The win-back campaign is successfully dragging churned users back, propping up our headline WAU. But it’s a leaky bucket: lifecycle data shows that only 12% of win-back users are active two weeks later (compared to 41% of organic returning users). They churn right back out.

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2. Why "Summer" isn't to blame

Your theory about summer (outdoors, holidays) would manifest as broad seasonal churn across all cohorts. But our data shows: 1. Older cohorts (1–4) maintained stable long-term retention. 2. The drop in retention is strictly tied to Cohort 5 onwards—the exact week we shipped the shorter sign-up flow.

It is product-led churn, not seasonal.

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3. What we should do instead of doubling paid acquisition

Before we scale ad spend, we need to fix activation and stop relying on expensive band-aids. Let’s execute a 3-step pivot:

1. Re-introduce intent-matching to onboarding (without hurting conversion): We need to qualify users so they receive the right weekly plan. Instead of a heavy 3-minute form, let’s test a lightweight, single-tap goal selector or defer personalization to the end of the first workout. We must restore Week 4 retention from 25% back toward 34%.
2. Refine the win-back targeting: Pumping win-back emails to all churned users after 21 days is bringing back low-intent users who churn in 14 days. Let’s restrict win-backs to users who reached a milestone or completed at least 3 workouts before churning, matching the profile of our 41% organic returners.
3. Optimize the Week 3–4 activation loop: We shipped 40 new routines in Week 3, but post-onboarding drop-off is neutralizing it. We need to focus activation efforts on guiding new users to these routines before they hit the Week 3 cliff.

Bottom line: Let's hold off on doubling paid acquisition for 4 weeks. If we fix the onboarding leak and improve post-signup intent, organic growth + recovered retention will naturally push us past our WAU plateau without wasting ad dollars on leaky traffic. Let's sync on this today.

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.