Section 07: Success Metrics & KPI Framework
β Overall Viability: 8.4/10 - GO BUILD
Strong viability with network effects potential. Proceed confidently, focusing on pilot density for validation.
1. Composite Viability Scores
Market Validation Score: 8/10
LocalPerks taps a $4T US small business market with 79% consumer preference for local support and a $5.5B loyalty sector growing 15% YoY (Statista). Coalition model addresses fragmentation validated by Belly's past traction and Fivestars' SMB success. Pilot GTM in dense neighborhoods mitigates chicken-egg risks. Demand signals strong via buy-local trends post-COVID. However, no proprietary user interviews yet; assumes 20-30 business/neighborhood density achievable. Competitive gaps in cross-business rewards create opportunity. Score reflects solid TAM/SAM but needs pilot data for PMF confirmation. (162 words)
Technical Feasibility Score: 9/10
Web/mobile stack (React Native, backend ledger) leverages mature APIs (Stripe for settlements, Google Maps for discovery). No custom ML needed; QR/phone scan simple. Low-code POS integration via tablet/phone viable. Scalability via cloud (AWS/Firebase) handles 100s neighborhoods. Time-to-MVP: 4 months realistic with 2 engineers. Risks minimal: regulatory floats managed conservatively. Matches "do more with less" via existing tools. Gap: Multi-state compliance tech. High score due to straightforward architecture, proven components. (152 words)
Competitive Advantage Score: 8/10
Network effects moat: density drives value (more businesses = consumer pull). Differentiation over Toast/Square (single-business) and punch cards (fragmented). Cross-redemption 40% target creates stickiness. Defensibility via first-mover in neighborhoods, coalition lock-in. Barriers: low for copycats but high execution (association partnerships). Sustainability via data on consumer flows. Score tempered by Fivestars competition; moat builds post-pilot.
Gap Analysis: Relies on density; weak if pilots underperform.
Improvement Recommendations: 1) Secure 3 association LOIs pre-MVP. 2) Patent coalition ledger. 3) Run A/B on redemption incentives (reassess Month 4).
Business Viability Score: 8/10
Subscription ($29-59/mo) + 5% redemption fees yield strong unit econ: ARPU $50, LTV $600 at 12-mo retention. Coalition fees scale. For 30-business hood: $10K MRR potential. Gross margins 75% post-interchange. CAC low via associations. Profitability Month 12 aligns $75K MRR goal. Funding attractive at $500K seed. Risks: redemption volume variability.
Gap Analysis: Assumes 60% redemption rate untested.
Improvement Recommendations: 1) Pilot pricing A/B. 2) Model sensitivity on 30% lower volume. 3) Secure volume commitments.
Execution Clarity Score: 9/10
Phased roadmap (Month 4 MVP, 7 app launch) with clear milestones ($75K MRR Month 14). Team: 2 engineers + community mgr feasible. GTM via pilots leverages associations. Resources: 14-mo runway. High achievability via low-code, focused scope.
2. Success Metrics Dashboard
Targets tailored to dual-sided marketplace: business enrollments, consumer engagement, coalition density.
A. Product & Technical Metrics
| Metric | Definition | M3 | M6 | M12 | Measure |
|---|---|---|---|---|---|
| Uptime | % available | 99% | 99.5% | 99.9% | UptimeRobot |
| App Load Time | Avg interactive | <3s | <2s | <1.5s | Web Vitals |
| API Latency P95 | ms | <500 | <300 | <200 | Monitoring |
| Error Rate | % requests | <2% | <1% | <0.5% | Sentry |
| QR Scan Success | % successful | 95% | 98% | 99% | Analytics |
| Business Dashboard Adoption | % using daily | 40% | 60% | 80% | Logs |
Leading: Test coverage >80%, PR merge <24h.
B. User Engagement & Retention Metrics
| Metric | Definition | M3 | M6 | M12 | Measure |
|---|---|---|---|---|---|
| Consumer DAU | Unique/day | 100 | 400 | 1,500 | Mixpanel |
| Business DAU | Active businesses/day | 20 | 80 | 250 | Dashboard |
| DAU/MAU (Consumer) | Stickiness | 15% | 20% | 25% | Calculated |
| Transactions/User (Consumer) | Per month | 1.5 | 2.5 | 4 | Analytics |
| D30 Retention (Consumer) | Day 30 return | 20% | 35% | 45% | Cohorts |
| Business Retention | Monthly | 90% | 92% | 95% | Subscriptions |
| NPS (Combined) | Recommend score | 25 | 40 | 55 | Surveys |
C. Growth & Acquisition Metrics
| Metric | Definition | M3 | M6 | M12 | Measure |
|---|---|---|---|---|---|
| New Business Enrollments | /month | 15 | 40 | 100 | Dashboard |
| Consumer Signups | /month | 300 | 1,000 | 3,000 | Analytics |
| Coalitions Launched | Cumulative | 2 | 5 | 10 | Internal |
| Businesses/Coalition | Avg | 20 | 25 | 30 | Dashboard |
| VisitorβSignup (Consumer) | % | 4% | 6% | 9% | Funnels |
| Cross-Redemption Rate | % of redemptions | 20% | 35% | 45% | Ledger |
D. Revenue & Financial Metrics
| Metric | Definition | M3 | M6 | M12 | Measure |
|---|---|---|---|---|---|
| MRR | $ | $2K | $15K | $60K | Stripe |
| Paying Businesses | # | 30 | 150 | 500 | Subs |
| Redemption Volume | $/mo | $5K | $25K | $100K | Ledger |
| ARPU (Business) | $ | $70 | $100 | $120 | Calculated |
| LTV:CAC | Ratio | 5:1 | 10:1 | 18:1 | Models |
| Gross Margin | % | 70% | 75% | 82% | Financials |
| Runway | Months | 12 | 15 | 24 | Cash/Burn |
E. Business Health & Operational Metrics
| Metric | Definition | M3 | M6 | M12 | Measure |
|---|---|---|---|---|---|
| Business Churn | %/mo | 7% | 5% | 3% | Subs |
| Net Retention | % MRR | 95% | 105% | 115% | Calculated |
| Support Tickets/100 Businesses | /mo | 20 | 12 | 6 | Intercom |
| First Response Time | Hrs | <4 | <2 | <1 | Support |
| Settlement Disputes | % transactions | <1% | <0.5% | <0.2% | Ledger |
3. Metric Hierarchy & Decision Framework
π North Star Metric: Cross-Business Redemption Rate
Target: 20% (M3) β 35% (M6) β 45% (M12). Proves coalition value/network effects.
Supporting (prioritized): 1) Business Retention, 2) MRR Growth, 3) Consumer D30 Retention, 4) NPS.
4. Comprehensive Risk Register
Risk #1: Product-Market Fit Failure π΄ High | Medium (40%)
Description: Businesses enroll but low redemptions; consumers ignore app. Retention <20% D30 due to fragmented value or chain preference. Coalition density fails, no network effects. (108 words)
Impact: Burn runway on pilots, no scale, pivot needed.
Mitigation: Pre-launch waitlist (300 consumers/neighborhood), 20 business interviews, concierge MVP in 2 hoods (manual points). Density threshold: 20 biz min. Weekly cohorts. Incentives: free 3 mo Basic. (152 words)
Contingency: <20% retention M3 β churn calls, pivot to single-coalition. Monitor: Cohorts/NPS.
Risk #2: Chicken-and-Egg Marketplace π΄ High | High (70%)
Description: Businesses hesitate sans consumers; consumers skip empty maps. Slow density buildup delays virality. Associations slow to partner. (102 words)
Impact: Stalled pilots, high CAC.
Mitigation: Launch dense pilots (target 25 biz via association deals), seed consumers via local events/email blasts. Business incentives: free tier + $100 credit. Consumer: bonus points signup. Track density weekly. (148 words)
Contingency: <15 biz/hood M2 β door-to-door sales. Monitor: Enrollments/density.
Risk #3: High Business Churn π‘ Medium | Medium (50%)
Description: Low ROI if redemptions low, ops friction (QR fails), better alternatives. >7% mo churn treadmill. (105 words)
Impact: LTV drop, MRR volatility.
Mitigation: Onboarding calls, ROI dashboard (new customers tracked), pause option. CS at D7/30. Gamify participation. (151 words)
Contingency: >7% x2 β price cuts/interviews. Monitor: Churn cohorts.
Risk #4: Regulatory/Compliance Issues π΄ High | Medium (45%)
Description: Stored value laws, money transmitter licenses state-by-state. Gift card regs on points. Fines/delays launch. (101 words)
Impact: Legal blocks, $40K+ costs overrun.
Mitigation: Pre-pilot legal review (retain counsel), start 1-2 compliant states. Conservative floats, clear ToS. Partner w/ Stripe for compliance. (149 words)
Contingency: Issues β virtual points only. Monitor: State regs alerts.
Risk #5: Association Dependency π‘ Medium | High (60%)
Description: Chambers slow/decline partnerships, no easy access to businesses. GTM stalls. (103 words)
Impact: Enrollment targets miss.
Mitigation: 10 association pilots, revenue share offers. Direct sales backup. Community mgr focus. (146 words)
Contingency: <2 coalitions M3 β direct outreach. Monitor: Partnership pipeline.
Risk #6: Technical Complexity Underestimation π’ Low | Low (20%)
Description: Settlement disputes, POS edge cases. Delays MVP. (100 words)
Impact: Minor timeline slip.
Mitigation: MVP scope tight, beta test w/5 biz. Stripe beta. (142 words)
Contingency: Outsource POS. Monitor: Bug rate.
Risk #7: Competitive Response π‘ Medium | Medium (40%)
Description: Fivestars/Toast add coalitions post-pilot success. Copy features. (104 words)
Impact: Moat erosion.
Mitigation: Speed to density, exclusive association deals. Data moat. (147 words)
Contingency: Differentiate w/ travel mode. Monitor: Competitor news.
Risk #8: Stripe/OpenAI Dependency π‘ Medium | Low (30%)
Description: Terms change, fees up. No AI but Stripe hikes. (101 words)
Impact: Margins hit.
Mitigation: Multi-processor (Square backup), fee pass-through. (145 words)
Contingency: Switch providers. Monitor: Announcements.
Risk #9: Funding Next Round Difficulty π‘ Medium | Medium (50%)
Description: Pilots underperform metrics, no $75K MRR M14. VCs doubt scale. (106 words)
Impact: Runway ends.
Mitigation: Hit M7 milestones, build public proof (Twitter/case studies). Bootstrap via revenue. (150 words)
Contingency: Bridge/angels. Monitor: MRR trajectory.
5. Metrics Tracking & Reporting Framework
Dashboard Setup:
- Weekly: North Star, enrollments, churn, MRR, density.
- Monthly: Full KPIs, cohorts, financials.
- Quarterly: OKRs, trends, roadmap.
Tools: PostHog (analytics), Stripe (revenue), Intercom (support), Sentry (errors), Google Sheets (early dashboard).
Cadence: Daily North Star/errors; Weekly review; Monthly investor update; Quarterly pivot.
Definitions Doc: Notion page w/ formulas/SQL for all 50+ metrics. Update on changes.