Diagnose a retention problem

To: Leo (Head of Growth) From: PM, Activation Subject: Hold on doubling paid spend — our flat WAU is an activation and win-back issue, not summer seasonality

Leo,

Before we double paid acquisition, we need to look closely at what is happening beneath our top-line WAU. While it looks like a summer slump, the data shows our flat WAU (~52,000) is actually caused by two product and lifecycle changes from August: the Week 5 onboarding change broke new-user habit formation, and the Week 6 win-back campaign is masking that core retention drop with temporary, low-intent resurrected users.

Doubling paid spend right now will pour expensive acquisition into a leaky bucket. Here is the diagnosis and what we should do before scaling spend.

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1. Why it’s not summer seasonality

If summer weather and holidays were driving our flat WAU, we would see a broad dip across all users in July and August, followed by a recovery in September. Instead: * Pre-Week 5 cohorts are rock solid: Users who signed up in Weeks 1–4 retained at ~30% by Week 8 (hitting late August and September) with zero seasonal decay. * Retention is still worsening in late September: Our weekly churned users rose from ~7,100 in early July to 10,279 in Week 13 (Sept 28). Meanwhile, our core `retained_users` (active both this week and last week) have steadily eroded from ~45,000 in Weeks 1–4 down to 41,636 in Week 13.

2. Root Cause #1: The Week 5 shorter sign-up broke long-term activation

In Week 5 (Aug 3), 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. Sign-up completion jumped from 61% to 74%, and Week 1 retention ticked up ~3 percentage points (from ~55% to ~58%).

However, long-term cohort retention collapsed immediately starting with the Week 5 cohort: * Week 4 Retention: Dropped from ~33.8% (Weeks 1–4 cohorts) to ~24.7% (Weeks 5–9 cohorts)—a ~9 percentage point drop. * Week 8 Retention: Dropped from ~30.0% (Weeks 1–4 cohorts) to 19.9% (Week 5 cohort)—a one-third relative loss in long-term retained users.

Why this happened: Stride’s core value is a weekly workout plan. By removing the step where users state their goals and target workout days, we likely broke the mechanism that personalizes their weekly plan and anchors their habit commitment. Furthermore, cutting friction let through lower-intent users who curious-click in Week 1, skewing Week 1 retention up while failing to build a multi-week habit.

The Math: Even with a 21% boost in sign-up completion (61% $\rightarrow$ 74%), a 33% relative drop in Week 8 retention (30% $\rightarrow$ 19.9%) means every 1,000 visitors to our sign-up flow now yields ~19% fewer long-term active users than before Week 5.

3. Root Cause #2: The Week 6 win-back campaign is inflating WAU and churn

Why hasn’t WAU fallen if core retention is down? Because in Week 6 (Aug 10), lifecycle launched the 21-day inactive win-back email offering a free week of Premium: * Resurrected users spiked: `returningusers` jumped from ~990/week (Weeks 1–5) to ~2,600/week (Weeks 6–13)—adding ~1,600 temporary users per week. * They immediately re-churn: Lifecycle data shows only 12% of win-back users remain active two weeks later (compared to 41% of organic returning users). Once their free week of Premium ends, nearly 90% (~1,400 users/week) churn right back out. * This explains why weekly `churnedusers` spiked from ~7,400 in Week 4 to >9,100 in Week 6 and >10,300 by Week 11. We are propping up headline WAU by cycling ~1,600 promo-chasers in and out of the app every week while our true core base (`retained_users`) shrinks by ~3,200 users.

(Note: When we increased paid social by 25% in Week 9, new users grew, W2–W4 cohort percentages held steady at the post-Week 5 levels, and `retained_users` still dropped by another ~500 users over the next four weeks.)

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What we should do before scaling acquisition

1. Hold off on doubling paid acquisition (and revert the 25% Week 9 increase if CAC is inefficient): Right now, 80% of new sign-ups churn by Week 7. Doubling spend at current retention rates will burn budget for a fraction of the LTV we were getting in July. 2. Restore goal-setting to the activation flow (this week): We need to A/B test bringing back the goal and frequency questions immediately: * Variant A (Control): Current 1-minute sign-up. * Variant B (Revert): Original 3-minute sign-up with goal-setting. * Variant C (Deferred Onboarding): Keep account creation fast, but require the goal-setting & weekly schedule commitment immediately before the user starts their first workout or generates their first weekly plan. * Success metric: Net retained users at Week 4 per 1,000 top-of-funnel visitors (not sign-up completion or W1 retention). 3. Fix the win-back mechanic: Giving a free week of Premium to unactivated users doesn't build a habit. We should shift the win-back hook from a temporary paywall unlock to re-establishing a weekly plan (e.g., "Let's reset your weekly schedule—pick 2 days to work out this week"), and track `retainedusers` separately from win-back `returningusers` in our growth reporting.

Once we see Week 4 cohort retention recover back above 32%, we should turn the paid acquisition tap all the way up.

Leo — I wouldn’t double paid acquisition yet. We have a retention leak, not just a summer growth slowdown. More new users and campaign-driven returns are masking deteriorating retention. The clearest break coincides with the week-5 onboarding change, though we need an experiment to establish causality.

What’s actually happening

Weekly actives remain around 52,000 because inflows are replacing increasingly large losses:

New users rose 30%, but weekly churn rose 44%. The share of the prior week’s actives retained fell from approximately 86.3% to 80.2%. In week 13, 10,482 new and returning users barely exceeded 10,279 churned users: net growth was just 203.

Flat actives are therefore concealing a less durable user base.

The evidence points to an activation problem

1. New cohorts look better initially, then retain substantially worse. For signup cohorts 1–4, first-following-week retention averaged 55.1%; for cohorts 5–12, it averaged 58.0%. But by the fourth following week, retention falls from 33.8% for cohorts 1–4 to 24.8% for cohorts 5–9. At eight weeks, the earlier cohorts retain roughly 30%, versus 19.9% for cohort 5.

That is not simply fewer people trying Stride. More are getting through the front door, but fewer form a lasting habit.

2. The break aligns with removing goal-setting in week 5. Shorter signup raised completion from 61% to 74%, but removed the step asking users what they wanted to achieve and how often they would exercise. For a habit app built around a weekly plan, that step may have helped users commit to a relevant routine.

The timing makes this our leading hypothesis—not proven causality. We should also check acquisition mix and other changes. However, the paid-budget increase occurred in week 9, after the cohort deterioration began. “Summer” alone does not explain this sharp onboarding-aligned break.

3. Win-back is propping up the headline metric, not repairing retention. Returning users jumped from about 1,000 to 2,600 a week when emails launched in week 6. Yet only 12% of email-driven returners remained active two weeks later, versus 41% of earlier organic returners. These are different populations, so this is not a causal campaign comparison, but it clearly warns against treating every return as durable recovery.

What we should do before spending more

1. Hold acquisition spend steady while testing onboarding. Randomize the current short signup against a lightweight goal-setting step that produces a personalized weekly plan. Preserve the speed improvement where possible.

1. Optimize for durable activation, not signup completion. Make four-week retention a primary outcome, alongside first workout, plan adoption and repeat workout behavior. Measure retained users per signup and per signup starter so a longer flow cannot “win” merely by filtering people out. Track Premium conversion as a guardrail.

1. Locate the failure point. Segment cohorts by acquisition channel, campaign and onboarding exposure. Compare where users stop: before their first workout, after one workout, or when beginning the next weekly plan. Reconcile the signup and new-active counts before calculating acquisition efficiency.

1. Judge win-back on incremental lasting activity. Use a randomized holdout and measure two- and four-week retention, not email-driven returns alone. Test messages that restore a realistic plan rather than relying only on free Premium.

Decision: scale acquisition once we demonstrate improved multiweek retention and acceptable acquisition economics. Doubling spend now risks buying more users into a leaking habit loop—and making flat actives look healthier without fixing the underlying problem.

To: Leo | From: Activation PM | Re: Why WAU is flat, and why I'd hold off on doubling paid

Bottom line: This isn't a summer dip. Retention has been deteriorating since early August, and new sign-ups and win-back emails are hiding it. Doubling paid now would mostly buy users who leave faster.

1. What's happening

WAU = new + returning + retained users, which reconciles exactly every week. Across weeks 1–13, WAU moved only +227 (51,891 → 52,118). That flatness is three movements netting out:

• New users: +1,813 (up 30%, as you said)
• Returning users: +1,662, nearly all from win-back
• Retained users (active last week and this week): −3,248

Retained users held near 44.5–45k through week 4, then stepped down from week 5 and kept sliding to 41.6k. Churn (last week's actives who didn't return) rose from about 14% of prior-week actives in weeks 2–4 to about 20% in weeks 11–13.

2. Why it isn't summer

Seasonality would hit all cohorts alike. It doesn't. Cohorts 1–4 (signed up July to late July) had week-4 retention of 33–34%. Cohorts 5 onward (from the week of 3 August, the first week of the shorter sign-up) drop to 24–25% and stay there, even though cohorts 2–4 went through the same weather. The break lines up with the week-5 release, which removed the goal-setting step.

The funnel math shows the change is a net loss. Per 100 visitors:

We're converting more visitors into accounts, but by week 8 each signup is about 20% less likely to still be active. We're getting more users who don't build the habit.

3. Win-back is flattering the numbers

Win-back adds about 1,600 returning users a week. Of users who came back through a win-back email, 12% were still active two weeks later. Of users who came back on their own, 41% were. At 1,600 a week, that's roughly 190 durable returners instead of about 650 if they'd come back organically. We're also giving away a free week of Premium. "Returning users" now looks like a health signal, but most of it is low-quality.

The week-9 paid social increase (+25%) isn't visible as a break in the new-user trend, so I can't yet say what paid is adding.

What I'd do instead

1. Hold the paid increase. Keep current spend. Revisit when cohort week-4 retention is back above 30%.

1. Restore the goal-setting step, or move it into the app after the first workout. Run it as a holdout (50/50, old flow vs new), and judge on week-4 and week-8 retention per signup, not completion. Using the cohort tables, bringing cohort retention back to about 30% at week 4 is worth roughly 3–4k weekly actives at steady state. That's about the size of the whole retained-user decline. This is my rough estimate and needs confirming with the holdout.

1. Find the churn in tenured users. Most of the 41k retained base isn't new. Segment weeks 4–13 churn by tenure, plan usage, workout type, and platform. Also check whether win-back returners churn quickly the following week, since they add to churn in the same weeks.

1. Rework win-back. Test a smaller, conditional offer, or a guided re-entry workout instead of a free Premium week. Measure two-week retention against a holdout. Keep it only if the incremental retained users justify the cost.

1. Change what we report. Show the WAU decomposition (new, returning, retained) and cohort retention by signup week every week. Stop counting returners as growth.

On the summer theory: it's testable. If we have last year's data for the same weeks, compare churn rates. If summer were the cause, we'd expect last year's churn to rise over these weeks too, and we'd expect older cohorts to show the same pattern as new ones. The data so far points to the week-5 change.

Ask: Can we set up the sign-up holdout this week and pull the tenure-level churn cut before any paid budget decision?