Full-Funnel Marketing Strategy Strategic Framework

YoYo
Funnel Strategy

End-to-end growth strategy for YoYo — a fictional inclusive digital yoga platform. Built from market positioning and persona segmentation through AAARRR funnel design, competitor analysis, KPI framework, and A/B test design. Demonstrates strategic thinking across the full acquisition-to-retention arc.

Growth Strategy Funnel Design Persona Segmentation Competitor Analysis A/B Testing KPI Framework
Project Context
BrandYoYo (fictional)
CategoryDigital wellness / yoga
PositioningInclusive · accessible · adaptive
Funnel modelAAARRR
Personas3 (Anna, Marco, Laura)
KPIs defined12+
A/B TestTrial duration hypothesis
6
Funnel Stages
3
Personas
12+
KPIs Defined
1
A/B Test Design

01 — Growth Model
AAARRR Funnel

Six stages, each with a distinct objective, primary channel mix, and measurable success signal. Click each stage to explore.

Objective

Build brand salience in a fragmented market

YoYo enters a market dominated by well-funded competitors (Asana Rebel, Calm, Headspace). Awareness strategy focuses on under-served positioning: inclusive yoga for people who don't look like typical yoga practitioners.

  • TikTok & Instagram organic — body-neutral, diverse creative
  • SEO content hub — long-tail: "yoga for beginners at home"
  • Micro-influencer partnerships (5K–50K, high engagement)
  • YouTube pre-roll targeting wellness-adjacent audiences
KPIs
Primary metricBrand search volume ↑
Organic reachImpressions by channel
Content qualityEngagement rate > 3%
SEORanking positions (top 10)
InfluencerEMV & reach vs. cost
Objective

Convert interest into trial sign-ups

Acquisition is the bridge between brand awareness and product experience. The landing page is the primary conversion mechanism — tested with a goal-framing headline and a short onboarding flow to set user expectations before the free trial begins.

  • Meta Ads — retargeting website visitors + lookalike from email list
  • Google Search — brand + competitor terms
  • Landing page: goal-framing headline ("Start your practice, however you move")
  • Quiz-first LP variant — segment users before trial to personalise onboarding
KPIs
PrimaryTrial sign-up rate
Paid efficiencyCPA per trial sign-up
Landing pageCVR (traffic → sign-up)
EmailOpen rate, CTR
SEOOrganic CTR from SERPs
Objective

Deliver the "aha moment" within 72 hours

Activation is where most freemium products lose users. The goal is to get users to a meaningful first experience before interest decays. Benchmark from Asana Rebel: push a goal-framed first session within 24 hours of sign-up, triggered by in-app notification or email.

  • Day 0: Personalised onboarding flow (3-question quiz → recommended class)
  • Day 1: Push/email — "Your first class is waiting" (goal-framed, not generic)
  • Day 3: Progress nudge — "You've completed X. Here's your next step."
  • In-app: first session completion = activation event
KPIs
Activation rate% completing first session
Time to activateMedian hours to session 1
Onboarding CVRQuiz completion rate
Day 3 retention% active after 72h
Objective

Build habit loops that survive trial end

Retention is the proof of product-market fit. For a subscription product, Day 7 and Day 30 retention rates are the most predictive signals of LTV. Strategy focuses on social accountability, streaks, and content variety to sustain engagement beyond novelty.

  • Weekly streak system with visual progress tracker
  • Community challenges — time-boxed group goals
  • Personalised content recommendations (based on quiz + session history)
  • Re-engagement flow at Day 7 inactivity — not a generic nudge
KPIs
D7 retentionTarget: > 40%
D30 retentionTarget: > 20%
Sessions / weekAvg per active user
Churn rateMonthly involuntary vs. voluntary
Objective

Convert retained users to paying subscribers

Revenue conversion happens at trial end — the most critical moment in the funnel. Strategy: reduce friction at paywall, surface value delivered during trial ("You've done 8 classes. Keep going."), and offer a discounted annual plan as the primary CTA.

  • Trial end: value summary email ("Your progress this week")
  • Annual plan anchor pricing — discount framed as savings, not discount
  • Monthly option as fallback — lower commitment barrier
  • Cancellation flow: pause option before cancel to reduce voluntary churn
KPIs
Trial → paid CVRPrimary revenue metric
MRRMonthly Recurring Revenue
ARPUMonthly vs. annual split
LTVCohort-based, 12-month view
Objective

Turn satisfied users into acquisition channel

Referral for a wellness product is most effective when it's tied to social proof and shared identity — not just incentives. YoYo's inclusive positioning creates natural word-of-mouth potential. The referral programme rewards both referrer and referee, triggered at peak satisfaction moments.

  • Trigger: referral invite appears after first completed streak (not at sign-up)
  • Incentive: 1 free month for referrer + 7-day extended trial for referee
  • Shareable "practice card" — social-first, not a promo code
  • NPS survey at Day 30 to identify promoters before outreach
KPIs
Referral rate% of users who refer
Viral coefficientK-factor (target ≥ 0.2)
Referred CPAvs. paid acquisition CPA
NPSNet Promoter Score — monthly

02 — Audience
Buyer Personas

Three distinct user archetypes with different motivations, barriers, and preferred channels. Click each card to expand.

🧘
Anna, 34
Working mother, flexibility-seeker
GoalReduce stress without a gym schedule
BarrierTime constraints, intimidated by "fitness influencer" aesthetics
TriggerInclusive messaging: "No experience needed"
ChannelsFacebookEmailYouTube
FormatShort sessions (15–20 min), morning routines
🏃
Marco, 28
Active professional, recovery-focused
GoalMobility & recovery alongside existing training
BarrierPerceives yoga as "not for him" — needs performance framing
Trigger"Yoga for athletes" angle, data-backed benefits
ChannelsInstagramTikTokPush
FormatPost-workout stretching, 10–15 min sessions
🌸
Laura, 52
Empty-nester, wellbeing reinvestment
GoalReconnect with her body after years of sedentary work
BarrierPhysical limitations, self-consciousness about age
TriggerRepresentation: teachers who look like her
ChannelsWhatsAppFacebookSMS
FormatChair yoga, gentle flows, adaptive modifications

03 — Market Context
Competitor Analysis

Asana Rebel is the closest comparable in the digital yoga space. Deep-dive on their acquisition and activation funnel reveals a structural gap YoYo can exploit.

Click to expand ↓

Acquisition

Quiz-first landing page

Asana Rebel's LP leads with a short quiz ("What's your yoga goal?") before showing pricing or content. This serves two functions: it creates perceived personalisation, and it increases time-on-page and micro-commitment before the conversion ask.

Activation

24-hour goal-framed push

Within 24h of sign-up, Asana Rebel sends a push notification framed around the user's stated goal — not a generic "start your practice" message. This is directly tied to quiz completion at acquisition. The activation rate for goal-framed messages is measurably higher than generic onboarding flows.

YoYo's gap to exploit: Asana Rebel's creative still skews toward the "aspirational fitness" aesthetic — lean, young, advanced poses. YoYo's positioning on genuine inclusivity (age, body type, mobility level) is an uncontested space. The quiz-first LP and goal-framed activation are worth replicating — but the creative and messaging differentiation is where YoYo wins.

Performance axis

Fitness-first vs. Wellness-first

Asana Rebel, Nike Training Club, and Daily Yoga sit on the fitness-first end — metrics, progress tracking, achievement framing. Calm and Headspace occupy the mindfulness end. Neither cluster owns the "accessible movement for everyone" space that YoYo targets.

Access axis

Elitist vs. Inclusive

Most premium wellness apps have a tacit "aspiration gap" — the product is inclusive in name but the creative, teacher selection, and default UX assumes a specific user. YoYo's differentiation is removing that assumption from every touchpoint: imagery, teacher diversity, adaptive content, and pricing.


04 — Measurement
KPI Framework

Organised into four quadrants — Growth, Engagement, Revenue, and Loyalty. The ratio that sits above all others is LTV:CAC.

Quadrant 01

Growth

Trial sign-up rate, CPA per trial, organic vs. paid split, K-factor (viral coefficient). These measure how efficiently YoYo expands its user base — both paid and organic.

Quadrant 02

Engagement

Activation rate, D7/D30 retention, sessions per week per active user, feature adoption rate. Engagement KPIs predict revenue before it materialises — low D7 retention is an early warning signal for CAC waste.

Quadrant 03

Revenue

Trial → paid CVR, MRR, ARPU (monthly vs. annual split), voluntary churn rate. Revenue KPIs answer "are we building a business?" — not just an audience.

Quadrant 04

Loyalty

NPS at Day 30, referral rate, LTV by cohort and persona, feature-specific retention. Loyalty KPIs measure whether retained users are satisfied or just inert — there's a meaningful difference.

LTV : CAC ≥ 3×
The ratio that tells you if the business model actually works. Below 3×, acquisition is destroying value even if revenue is growing. Both metrics in isolation are misleading — the ratio is the signal.

05 — Experimentation
A/B Test Design: Trial Duration

One of the highest-leverage decisions in a freemium model: how long should the free trial be? The hypothesis tested is whether longer trials drive higher paid conversion — or whether they simply delay and normalise non-payment.

Variant A

7-day trial

Short window creates urgency. Users must decide within the first week — when they're most engaged. Risk: not enough time to build habit. Expected to produce lower activation but higher urgency-driven conversion.

Variant B Hypothesis: Winner

30-day trial

Long enough to build a habit loop (the product's core value proposition). Users who reach D30 have materially higher LTV. Expected to produce higher activation, higher D30 retention, and higher paid CVR — despite lower urgency signal.

Statistical significance note: Trial duration tests are slow-moving by design. A 30-day trial requires at minimum 60–90 days to collect a full conversion cycle for Variant B. The test requires adequate sample size (Bayesian power analysis recommended) and must not be called before significance threshold is reached — early reads on this metric are highly misleading. In a live context, I would validate this hypothesis against cohort retention data before committing to a single variant.

Strategy built to be tested, not just presented

Every decision in this framework is hypothetical by design — each one maps to a measurement mechanism that would validate or refute it in a real deployment. Thinking in testable hypotheses is the point.