illus - Face Effects Editor

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~$40.0K/mo· 3.0K+ Installs· 4.3 ★· 5 Steps· Lifestyle

Deconstructing illus: How This $40K/Month Face Editor Converts Users Despite Modest Downloads

Illus, a face effects editor by Inmoji Co., Ltd, pulls in a respectable $40,000 monthly revenue despite only seeing around 3,000 downloads per month. Released back in mid-2019 and kept fresh with updates (last one Oct 2024), it employs a specific playbook mixing AI-powered fun with a deliberate conversion strategy.

How does an app with relatively low install volume generate significant revenue? It comes down to optimizing the user journey from the first tap. Let's break down the hidden patterns in illus's approach. 👇

The 5-Step Onboarding Gauntlet: Permissions & Desire Building

First impressions are critical, and illus uses its 5-step onboarding sequence to quickly qualify users and showcase value.

It starts with the necessary evils: permission prompts. The app strategically asks for App Tracking Transparency (ATT) permission upfront, framing it as a way to enhance user experience and provide relevant content. This is immediately followed by previews of its core features – like "Time Machine," "Animal Face," and "Cartoon Face." 💡 This isn't just a feature list; it's a quick hit of dopamine, showing users the fun outcome before asking for deeper commitment.

Crucially, illus doesn't shy away from introducing its monetization model early. A "Welcome to illus" screen appears, often showcasing premium features and presenting a monthly subscription offer ($18.99/month). This acts as a soft paywall, setting the expectation that full access requires payment, but often allowing users to proceed and explore further.

Next comes the essential request: Photo Library access. Illus clearly explains why it needs access (to save/view photos) and offers different levels (Limit Access, Allow Full Access). This transparency is key for apps handling personal media. Finally, it requests notification permissions, often presented alongside the privacy policy acceptance – bundling necessary steps efficiently.

Monetization Mechanics: Soft Paywalls & Free Trial Hooks

Illus primarily relies on a Soft Paywall with a Free Trial model. While the $18.99/month offer appears early, the app seems flexible, sometimes presenting a $4.99/week option later, complete with a 3-day free trial. This could be A/B testing or context-dependent offers triggered by specific user actions. 💰

The strategy is clear:

  1. Tease Value: Show engaging AI effects like age progression/regression or face swaps.
  2. Introduce Subscription: Present the paywall relatively early, but often allow users to bypass it initially.
  3. Gate Features: Lock certain effects or advanced options behind the subscription or require watching an ad. The message "You can experience the function after ads" explicitly communicates this trade-off for free users.
  4. Trial Incentive: Offer a free trial (e.g., 3 days) to convert engaged users who hit a paywall during feature exploration. The prompt clearly states the recurring cost after the trial.

This multi-pronged approach allows illus to capture revenue from highly engaged users willing to pay, while still potentially monetizing free users through ad views.

The Core Experience: AI Funnels & Feature Gating

The core loop involves users selecting a photo (either uploaded or taken live) and applying various AI-driven effects. The app offers a wide array of transformations:

Processing these effects often involves loading screens with progress indicators ("Processing X/6," specific effect names like "Baby Prediction"). While necessary, these moments test user patience.

Feature gating is central to the illus model. Premium effects are clearly marked (often with a crown icon 👑), pushing users towards the subscription. Other features might be accessible after watching an interstitial ad, providing a monetization path for non-subscribers but also serving as friction that encourages upgrading.

Nudging Retention: Notifications, History & Challenges

Illus employs several tactics to keep users coming back:

The ad-gating model also functions as a retention mechanic, albeit a potentially frustrating one. Users might return to use a specific feature they know is free with an ad view.

Growth Reality: High ARPU Focus?

Running ads indicates illus is actively seeking growth. However, the ~3000 monthly downloads suggest either a very niche target audience or challenges in scaling user acquisition cost-effectively. The significant $40k monthly revenue points towards a high Average Revenue Per User (ARPU). This implies the app is effective at converting its acquired users into paying subscribers, likely targeting users specifically searching for these types of AI face effects.

The UI feels functional but occasionally cluttered, potentially impacting usability for some. The mix of features, from serious editing tools to playful wallpapers and community challenges, might dilute the app's core focus.

Key Takeaways for App Builders

Analyzing illus reveals valuable patterns:

  1. Onboarding Matters: Structure onboarding to build desire (show cool features) before hitting users with major asks (permissions, paywalls).
  2. Flexible Paywalls: Soft paywalls and free trials can effectively convert users, especially when features are clearly gated. Experimenting with price points and trial lengths is crucial.
  3. Permission Timing: Request permissions contextually or bundle less critical ones (like notifications) later in the flow.
  4. Feature Gating Strategy: Decide which features drive initial engagement (offer freely or with ads) versus which justify a premium subscription.
  5. High ARPU Potential: Even with lower download volume, effective monetization of engaged users can lead to significant revenue.

Illus demonstrates that a well-structured funnel, combining engaging AI features with strategic paywall placement and feature gating, can carve out a profitable niche, even without massive download numbers. Understanding these mechanics is key for any app aiming for sustainable growth.

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