Turning Mood Logs Into Retained Users for Eezy's AI Lifestyle Planner
Eezy is an AI-powered lifestyle planner by eezylife Inc that recommends venues, activities, recipes, and playlists based on user mood, personality, and location across 200,000 venues in 180-plus cities. With 42% of users reporting decision paralysis in planning and lifestyle apps losing 70% of installs in the first week, the challenge is acquiring US millennials and Gen Z who form a daily mood-logging habit rather than downloading and abandoning. We run acquisition across paid media, ASO, and influencer while building the retention engine through lifecycle CRM, referral experiments, and cohort analytics.
An AI That Learns Your Mood and Plans Your Evening Across 200,000 Venues in 180 Cities
Eezy is an AI-powered lifestyle planner developed by eezylife Inc, available free and ad-free on iOS and Android since 2017. The app analyses user mood, personality, and location to recommend restaurants, bars, cafes, concerts, movies, recipes, and playlists from a database of 200,000 venues and 100,000 activities across 180-plus cities worldwide, with primary operations in the United States. Users input their emotional state or let the AI take control, receiving suggestions that continuously improve through machine learning. Core features include in-app bookings via integration partners, real-time plan adaptation for mid-evening changes, and one-tap plan sharing for group coordination. Recent updates added personalised daily tips from psychologists.
The competitive landscape spans Yelp, TripAdvisor, and Foursquare for venue discovery, Eventbrite for event planning, Google Maps Explore for ML-based suggestions, and Calm for mood-based wellness, none of which combine mood matching with activity booking and social coordination. Among the 150 million active US mobile gamers and lifestyle app users aged 18 to 40, 42% report decision paralysis when planning according to Deloitte, and 55% seek personalised non-repetitive experiences. Eezy engaged us to build both the acquisition and retention engine, spanning paid media, SEO, influencer, ASO, lifecycle CRM, referral mechanics, and weekly reporting.
Apple Search Ads Meta and TikTok Each Targeting a Different Discovery Moment
We run Eezy's paid acquisition across Apple Search Ads, Meta, and TikTok targeting the 18-to-40 demographic that spends 15 hours weekly on discovery apps. Apple Search Ads captures intent queries like 'mood planner' and 'things to do near me' alongside competitor terms including Yelp, TripAdvisor, and Foursquare. Meta targets interest signals across dining, nightlife, and travel in US metro hubs like NYC and LA where venue density powers recommendation accuracy.
Budget shifts weekly based on cost per trial start, concentrating spend on combinations producing users who log their first mood rather than installing and abandoning.
App Store Screenshots Testing Mood Matching UI Against Date Night and Solo Scenarios
ASO is the acquisition multiplier that compounds every paid channel. We run continuous A/B tests on Eezy's App Store listing, iterating screenshots, subtitle copy, and preview videos. Screenshot variants test mood-matching UI, restaurant recommendations in 3D city maps, and the in-app notepad for plan sharing. Preview videos alternate between date-night scenarios and solo city discovery.
Keyword optimisation targets non-brand queries like 'AI activity planner', 'what to do tonight', and 'mood-based recommendations' to expand organic reach beyond brand searches. Each ASO gain reduces effective CPI across Apple Search Ads, Meta, and TikTok simultaneously.
Building Retention Around the Daily Mood Log That Separates Habit From Churn
Lifestyle apps lose 70% of users in the first week. We build Eezy's retention engine around the mood log, the daily habit that separates retained users from churners. Push notification sequences trigger based on time of day and last mood logged, suggesting evening restaurant options or weekend activity plans in the user's city from Eezy's 200,000-venue database.
Referral mechanics leverage the plan-sharing feature where users tap to coordinate groups, creating a viral loop with k-factor potential above 1.2. Cohort analysis ties mood log frequency to 12-month LTV, identifying which onboarding paths produce the highest-value users for retargeting.
Optimising Toward First Mood Log Rather Than Install in a Post IDFA Landscape
The core acquisition challenge is that IDFA deprecation since 2021 reduced iOS ad targeting precision by 60 to 70%, and lifestyle app CPI runs $2 to $5 in the US for high-LTV verticals. Standard install-optimised campaigns flood the funnel with users who never open the mood-matching interface. We believe the first mood log, not the install, is the event that predicts retention.
We structure campaigns across Apple Search Ads, Meta, and TikTok with app event optimisation targeting the first mood log as the primary conversion signal. Apple Search Ads captures high-intent queries including 'mood planner', 'things to do near me', and competitor brand terms for Yelp, TripAdvisor, and Foursquare. Meta targets interest signals across dining, nightlife, travel, and wellness in US metro hubs like NYC and LA where Eezy's venue density powers recommendation accuracy. TikTok runs creator-seeded content showing real mood-to-plan journeys, exploiting the platform's 2.5x lower CAC versus Meta per industry benchmarks. SKAdNetwork conversion value mapping encodes mood log completion and first booking within the 6-bit schema, distinguishing habitual planners from single-session browsers. Retargeting on Meta recaptures D1 lapsed users with creative previewing specific venue recommendations waiting in their city.
Trial Starts Up 32% as Voice Interfaces and AR Venue Previews Reshape Lifestyle Discovery
The engagement has delivered a 32% uplift in trial starts, 18% higher D7 retention, and 120,000 monthly mood logs tracked through our analytics and BI layer. The trial start improvement matters most because it represents users who complete onboarding and submit their first mood input, the activation event that correlates with long-term habit formation and the $5 to $10 LTV that sustains free-to-play lifestyle economics.
We adapted standard mobile UA for an app where the category barely exists in consumer search vocabulary. Most people experiencing decision paralysis search for 'restaurants near me' or 'things to do this weekend', not 'AI mood planner'. We create demand by leading with the problem, the 42% who cannot decide what to do tonight per Deloitte, and presenting Eezy as the AI that decides for you. Creative testing rotates 50-plus variants fortnightly across date-night, solo discovery, and group coordination scenarios. Voice interface queries grow 30% annually with conversational prompts like 'what should I do tonight' channelling into Eezy's value proposition. AR venue previews emerge as a 2026 differentiator with 35% engagement lift in early adopters, while LatAm and Asian expansion offer localisation growth beyond the 85%-penetrated US smartphone market.
