A reward system built on top of Sahha’s health scores and archetypes should incentivis\ze:

• Sustained product/app engagement

• Reinforce health & lifestyle behaviors

• Create a personalized product/app experience

  
  

The goal of this system is to retain user engagement by using Sahha Scores, Archetypes and Biomarkers as a core pillar of engagement. Rather than a one-size-fits-all approach, the system should be dynamic, adapting rewards based on individual health and lifestyle trends while fostering long-term customer loyalty.

We've split this into two common approaches for building reward systems:

1. Loyalty Programs / Tiers

2. Challenges / Streaks

Let's dive in



Loyalty Programs & Tiers

Implementing health/lifestyle membership tiers for each users based on loyalty to the app and their health & lifestyle.

Impact: Creates personalized loyalty, keeps customers engaged long-term, and boosts repeat purchases.

In this example we will focus on a hypothetical loyalty tier feature within a food/nutrition app where user earn exclusive meal discounts or unlockables for maintaining loyalty to their app and to their health or lifestyle based on Sahha Data.

The example features a dynamic membership system where users advance through tiers (Bronze → Silver → Gold → Platinum) based on their health & lifestyle trends, not just purchases.

Sahha ScorePurpose in the Reward SystemActivity ScoreMeasures consistency in movement and physical engagementSleep ScoreEncourages proper rest and recovery to sustain healthy habitsReadiness ScoreRewards users for maintaining an optimal balance between activity and recovery

How It Works

• Users who connect their health data to app unlock tiered benefits.

• Users unlock better meal perks (e.g., discounts, exclusive recipes, early access to wellness meals) as they sustain healthy habits over time

• The system factors in sleep, readiness, and activity balance for long-term health optimization rather than rewarding extreme behavior

• Higher health engagement (good sleep, consistent activity) = better discounts on wellness products.

  • Example: A user with great sleep & fitness consistency gets:

    • Free delivery on healthy foods

    • Monthly free health snack samples

    • Special discounts on curated wellness bundles

    
    

  
  

Example Implementation Strategy

TierRequirementRewardsBronzeMinimal activity and wellness scores, low engagementBasic discounts on healthy mealsSilverModerate activity, improved sleep trends, and fair wellnessPersonalized meal plan suggestions and access to wellness meal bundlesGoldConsistent medium+ scores across all health metricsWeekly health challenges, deeper discounts, and VIP meal offeringsPlatinumHigh and sustained scores for a longer periodPremium subscription benefits, exclusive nutritionist-curated meals, and personalized wellness experienceAll TiersTailored "Health Packs"Introduce pre-built “Health Packs” powered by Sahha insights (e.g., “Energy Boost Pack,” “Stress-Relief Pack”).Users see contextual health recommendations for each pack, explaining why each product is included.Introduce limited-time exclusive health packs (e.g., “Winter Immunity Pack” with seasonal health-focused foods)

Example Experimentation & A/B Testing

• Test Thematic Messaging: “Functional Foods for Sleep” vs. “Doctor-Backed Sleep Nutrition.”

• Compare Individual vs. Bundled Purchases: Are loyalty program users more likely to buy multiple products when sold through the program, as a pack or individually?

• Optimize Pricing & Discounts: Do discounts provided within loyalty programs increase conversion?

  
  

Example Key Metrics & ROI Measurement

✅ Attach Rate → % of users who opt into loyalty programs or buy health packs vs. individual products.

✅ Perceived Value → Do loyalty users engagement more, retain longer and drive more revenue?

✅ Bundle Retention → Do regular users or loyalty repurchase curated packs?



Challenge / Streak Reward System

Implementing rewards based on maintaining healthy lifestyle and behavior for each user. Impact:

Impact: Turns services, product content or shopping into an engaging, rewarding habit that keeps users coming back daily.



In this example we will focus on a hypothetical reward feature within a food/nutrition app where user earn exclusive meal discounts or unlockables for maintaining health or lifestyle streaks based on Sahha Data.

Sahha DataPurpose in the Reward SystemActivity ScoreEncourages movement consistency and regular physical engagementSleep ScoreRewards users for improving rest and maintaining good sleep habitsReadiness ScorePrevents burnout and promotes a balance between activity and recoveryWellbeing ScoreSupports holistic wellness and mental well-being improvements

How It Works

• A personalized health or lifestyle goal is set (e.g., maintain a medium+ Activity Score for 5 days in a row) to unlock discounts or wellness perks

  
  

• Challenges adjust dynamically based on user behavior. If a user has low Readiness Scores, the challenge shifts from high activity to restorative practices (e.g., improving Sleep Scores)

  
  

Example Implementation

Challenge DurationRequirementReward3-Day ChallengeMedium+ Activity and Sleep Scores for 3 consecutive daysSmall discount or free meal add-on7-Day ChallengeConsistent medium+ scores across multiple Sahha health metricsFree wellness meal or access to exclusive product recommendations14-Day ChallengeMaintaining health balance without extreme highs or lowsPremium meal rewards, long-term subscription perks



Example Implementation Strategy

• “Earn rewards for healthy habits”: App rewards users who achieve health milestones.

• Example: 7 days of consistent sleep → Unlock 10% off herbal teas or superfoods.

• Show a progress bar in the app that tracks health streaks & upcoming rewards.

• Implement badges & leaderboards to make the experience competitive.

• Flexible streaks: If a user misses a day, they can earn it back by focusing on another wellness metric (e.g., improving sleep instead of activity)

• Personalization: AI can adjust streak challenges based on past trends and user preferences



Example Experimentation & A/B Testing

• Gamification vs. No Gamification: One group sees streak-based rewards, the other does not.

• Short vs. Long Reward Cycles: Does a 3-day streak work better than a 7-day streak?

• Different Reward Types: Test whether discounts, free samples, or exclusive products drive higher engagement.

  
  

Example Key Metrics & ROI Measurement

✅ Engagement Lift → Do users who see streaks return to the app more frequently?

✅ Purchase Frequency → Are streak-driven users ordering more frequently than non-gamified users?

✅ Customer Lifetime Value (LTV) → Do gamified users stay longer & spend more over time?