Simple: Weight Loss Coach

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~$200.0K/mo· 85.0K+ Installs· 4.7 ★· 46 Steps· Lifestyle· Health And Fitness

Reverse-Engineering Simple: How a $200K/Month Weight Loss Coach Converts Users

Simple, by AM APPS, isn't just another weight loss app. Pulling in a reported $200,000 in monthly revenue with 85,000 downloads is no small feat in the hyper-competitive health space. Released back in June 2019, Simple has refined its approach, turning user data into a personalized, high-converting machine.

So, how does an app achieve this level of success? We're diving deep into their user journey, dissecting the psychology and strategy behind their extensive 46-step onboarding and soft paywall. Let's break down the patterns. 🧐

The Deep Dive: Personalization as the Core Engine

Simple’s onboarding isn't a quick sign-up; it's an intensive intake process. This isn't accidental. By asking detailed questions right from the start, they achieve several key goals:

  1. Gathering Rich Data: From your email and name to your reasons for trying intermittent fasting (IF), date of birth, height, current weight, and target weight – every piece of data fuels the personalization algorithm. They even ask about inspiring events (vacation, wedding), typical meal frequency, dietary patterns ("I'll eat mostly anything," Vegetarian, Keto, etc.), daily water intake, and lifestyle factors (physically demanding job, shift worker). This level of detail makes the user feel understood. ✨
  2. Building User Investment: Each question answered, each tap made across those 46 steps, increases the user's commitment. It's the sunk cost effect in action. By the time the user sees their personalized plan, they've already invested significant time and personal information.
  3. Setting the Stage for Value: Questions like "Why do you want to try intermittent fasting?" or "What do you hope to achieve?" frame the app's purpose around the user's specific motivations, whether it's feeling better, changing their look, or improving health.

Crafting Trust: Social Proof and Managing Expectations

Simple masterfully weaves in trust signals throughout the onboarding:

Beyond the Basics: Motivation and Safety Checks

The personalization goes deeper than just stats:

The Soft Paywall: Converting Investment into Revenue

After the extensive data gathering and value-building, Simple presents the personalized plan summary – a projection showing potential results ("Start seeing results in just 1 month and lose 7 kg by your vacation") and highlighting key features tailored to the user ("Customized for women ages 34+", "Adapted for moderately active lifestyle").

This leads directly to the paywall, a critical conversion point:

The Core Loop: Tracking, Guidance, and AI Assistance

Once inside (presumably after subscribing), the app delivers on its promises:

Engagement Through Education and Feedback

Simple keeps users engaged beyond basic tracking:

Final Thoughts: Why Simple Succeeds

Simple's $200k monthly revenue isn't magic. It's the result of a meticulously crafted user journey that excels in several areas:

  1. Deep Personalization: The extensive onboarding creates a truly tailored experience and significant user investment.
  2. Trust & Credibility: Social proof, realistic expectations, and safety checks are integrated seamlessly.
  3. Value Demonstration: The app clearly articulates the benefits before hitting the paywall.
  4. Strategic Monetization: The soft paywall follows a high-investment onboarding, maximizing conversion likelihood.
  5. Comprehensive Features: Robust tracking, AI assistance, and a rich content library provide ongoing value.
  6. Engagement Loops: Feedback mechanisms, quizzes, and fresh content keep users returning.

By understanding and reverse-engineering flows like Simple's, app founders, marketers, and designers can uncover powerful patterns for driving activation, engagement, and ultimately, revenue. Simple demonstrates that a deep understanding of user psychology, combined with a data-driven approach to personalization, is key to thriving in the competitive app landscape.

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