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Product Management Case Study

LoveNotes

How I built an SMS-first product that helps couples combat emotional drift through daily micro-rituals, combining behavioral science, AI, and product strategy.

Christopher K-Lee Marks • Product Manager & Founder

80-90%
Daily Engagement
11 beta couples
98%
SMS Open Rate
vs 2-8% app retention
70%
Gross Margin
Sustainable from day 1
The Problem

Emotional Drift Is Costly and Systemic

Couples don't separate from lack of love—they drift from lack of connection. Small relationship stressors compound when unattended.

Surface Problem

"We don't have time or structure for meaningful conversations"

Behavioral Problem

"We avoid vulnerable topics because they feel risky or draining"

Emotional Problem

"We worry we're drifting apart, but don't know how to fix it"

Systemic Problem

"Existing tools are inconvenient, performative, or overwhelming"

$15-20k
Avg Divorce Cost
Per person, legal fees alone
77%
Wealth Drop
For women post-divorce
The Research

Small Daily Moments Matter More Than Big Conversations

The Science of Appreciation (Gottman Institute)

Regular gratitude and admiration predict staying together. Lack of appreciation predicts divorce more than conflict. "Turning toward" partner's bids for connection has 94% accuracy in predicting relationship success.

Qualitative Research

Analyzed 2,000+ Reddit posts to understand relationship pain points. Top pattern: Trust erosion from small disconnections. Couples follow a path of avoidance → silent withdrawal → crisis. Without consistent low-friction rituals, couples drift.

Why Existing Solutions Fail

Lifestyle/wellness apps have 2-8% 30-day retention. Push notifications get 4-15% open rates. Apps require downloads, logins, and constant engagement. SMS delivers 98% open rates with no friction.

The Solution

SMS-First Micro-Rituals

LoveNotes reframes relationship health as a habit-formation challenge, not a software problem. Software should support human connection, not replace it.

1
Daily SMS Prompt

Each partner receives a science-backed reflection prompt via text message. Questions are grounded in Gottman research and designed to build appreciation.

2
Private Exchange

Partners see each other's responses directly—no AI interpretation, no algorithmic filtering. Your words, unmodified, delivered to your partner.

3
Weekly LoveLetter

Every Sunday, couples receive a compiled reflection of their week together. A moment to pause, reflect, and appreciate the connection they've built.

"How can we help love flourish in tiny, consistent ways—without pressure, without demands, without surveillance?"

Market Opportunity

Capital-Efficient SaaS Economics

$8
Price/Month
Per couple ($96/year)
$2.50
COGS
SMS + infrastructure
70%
Gross Margin
Sustainable from day 1

Target Market: 63M married/cohabiting couples in the US. Serviceable market: 15.6M tech-savvy couples actively seeking relationship tools ($1.5B market value). 3-year goal: 15,600 couples (0.1% market capture) = $1.5M ARR.

$70-93
Customer LTV
6-8% monthly churn
$30-40
Target CAC
Organic + paid
2-3x
LTV:CAC Ratio
Baseline target
Technical Execution

Challenges Solved

1
Technical Complexity & Edge Cases

SMS scheduling, state machines, and time zones are fragile. Built comprehensive testing tools, simulated couple logic, and multi-LLM debugging workflows.

2
Data Pairing & AI Safety

Late responses need correct pairing; prevent hallucinations. Implemented structured JSON responses, pairing buffers, and strict prompt engineering.

3
Emotional Safety vs. Engagement

Balance gratitude themes without inducing shame. Created science-backed curriculum with recurring appreciation and habit-focused messaging.

4
Trials & Cost Control

Free trials vs. SMS cost risk. Implemented capped trial volume, value-first pricing, and sustainable cost modeling.

Execution

From Validation to Scale

Phase 1 — Q3 2025
Research

Validated pain points through qualitative research. Pivoted away from complex biometric tools toward simple prompts grounded in behavioral science.

Phase 2 — Q4 2025 – Q1 2026
MVP

Built SMS infrastructure with Twilio, Supabase, and Gemini AI. Closed beta with 11 couples, tested state machine logic and prompt effectiveness.

Phase 3 — Q2 2026
Open Beta

Target: 50+ active couples and first paying subscribers. Refining onboarding flow and payment integration.

Phase 4 — Q3 2026
Growth

Goal: 240 couples, $23k ARR. Establish repeatable acquisition channels through content marketing and partnerships.

Key Learnings

PM Growth & Insights

1. Research Redirected the Vision

Early assumptions about biometric/AI-driven conflict tools were unrealistic. Research revealed simple prompts are validated and powerful—prevented "cool but not useful" product bloat.

2. Minimalism Became a Strategy, Not a Compromise

Reducing onboarding complexity created trust. Postponing features drove focus. Constraint forced commitment to honoring users' words over AI interpretations.

3. User Feedback Transformed the Product

Users rejected complex workflows and embraced lightweight prompts. Learned to prioritize real value over novelty—the best features are often the simplest ones.

4. Systems Complexity Is Hidden Until You Build

State machines, cron logic, and edge cases created unexpected complexity. SMS is far less flexible than an app—every constraint forced better design decisions.

5. New Opportunities Emerge Through Use

"LoveStory" (Spotify-wrapped style recap) emerged organically from usage patterns. Designing for vulnerability and trust revealed opportunities beyond the initial roadmap.

North Star

Meaningful Engagement Over Time

Commercial Success
  • Sustainable unit economics
  • Capital-efficient growth
  • $770k-$1.5M ARR at 0.05-0.1% market penetration
Behavioral Outcomes
  • Increased closeness index
  • High ritual completion rate
  • Qualitative signals of emotional impact

"How can we help love flourish in tiny, consistent ways—without pressure, without demands, without surveillance, without manipulation?"