Hypothesis
"Get it right the first time" positioning drives higher conversion than "stop procrastinating" or "life admin assistant" messaging.
We test three distinct emotional positioning approaches across identical signup flows to isolate which narrative resonates strongest with our target audience.
Test Variants
First Time for Everything
Documentation → Obligations → Completeness → Trust
Hook: Urgency around major life events; cost of missing obligations; emotional stakes.
Tracking: persona = "wedding"
Stop Procrastinating
Obligations → Urgency → Relief → Action
Hook: Procrastination; time pressure; cost of action delay; procrastination guilt.
Tracking: persona = "obligations"
Personal Admin Brain
Relief → Delegation → Trust → Completeness
Hook: Overwhelm reduction; delegation; peace of mind; having someone watching your back.
Tracking: persona = "trust"
Success Metrics
Target for Variant A. Variants B & C target ≥12%.
(Signups / Visitors) × 100Difference between variants indicates messaging vs. UX friction.
(Started - Completed) / StartedMonitor if variants hold engagement differently. Aim for within 15s of baseline.
Track bounce rates post-launch. Indicates if messaging attracted engaged users.
Traffic Distribution Strategy
Week 1 (Days 1-7)
Distribution: 50% Variant A, 25% Variant B, 25% Variant C
Variant A is primary test focus. B & C are secondary insights. Soft launch internally (Slack, email, direct). Collect 20-30 signups per variant. Monitor for UX issues.
Week 2 (Days 8-14)
Distribution: Adjust based on Week 1 performance
- If A winning decisively (>20% conversion): 60% A, 20% B, 20% C
- If all close (within 3%): Equal 33/33/33
- If B or C outperforming: Reallocate accordingly
Week 1: Setup & Soft Launch
✓ Set up Google Analytics 4 goals: Form View, Form Start, Form Submission
✓ Create tracking spreadsheet: Variant | Visitors | Signups | Conversion %
✓ Test form submissions from each variant (verify persona tags in DB)
✓ Configure UTM parameter tracking for each variant URL
✓ Manual traffic distribution: aim for 50/25/25 (A/B/C)
✓ Monitor submission flow for errors or validation issues
✓ Collect 20-30 signups per variant as baseline
✓ Daily check-in: Log conversion rate, bounce rate, note any UX issues
✓ Review submitted email domains (check for diversity, not all company email)
✓ Check engagement metrics: time on page, scroll depth per variant
✓ Assess form abandonment patterns
✓ Adjust Week 2 traffic distribution based on performance
Week 2: Ramp Up & Final Decision
✓ Monitor daily conversion rates (watch for variance or saturation)
✓ Track form abandonment patterns (are they consistent or variant-specific?)
✓ Note any UX feedback from signups or form submissions
✓ Compare all metrics vs. baseline (current index.html performance)
✓ Segment results by traffic source (organic, direct, email, social)
✓ Assess email quality (bounce rate check in Week 3)
✓ Document findings and recommendation
✓ Make final variant selection decision
Analytics Setup
UTM Parameters
Append to all variant links for GA4 tracking:
Variant Tracking in Form
Each variant embeds its persona tag in form submission:
This enables segmentation by variant in Week 2 analysis and informs Priority 2 (life-event landing pages).
Decision Rules
Rollout to Homepage
After final decision (Day 15), update the main landing page:
docs/index.html headline/subheading/CTA with winning variant messaging
Week 1 Setup Checklist
Week 3+ Roadmap
After Priority 1 decision, proceed to:
Priority 2: Life-Event Landing Pages
Launch persona-specific landing pages (Wedding, Estate, Health Coordinator, Entrepreneur) using winning positioning from Priority 1.
Priority 3: Dual-Source Onboarding
Test dual-source onboarding (Email + Drive) conversion rates. Measure completion and first ingest success.
Analytics Buildout
Implement full funnel tracking: signup → onboarding start → first ingest success. By end of Week 3.