Growth teams spend a lot of time guessing what competitors are doing on mobile.

The app store gives you download estimates. Review sites tell you what users complain about. LinkedIn shows you who they’re hiring. But none of these tell you what happened inside the app last Tuesday — the pricing tier they added, the onboarding step they removed, the paywall they moved from screen 3 to screen 6.

That gap is what this guide covers. By the end, you’ll have a system to automatically track competitor app changes — pricing, onboarding, features, and UI — without assigning it to a junior PM with a spreadsheet.


The Problem: Competitive Intelligence Has a Mobile Blind Spot

Most competitive intelligence tools work at the web or app store layer:

  • Sensor Tower / data.ai — excellent for download estimates, revenue trends, keyword rankings. Can’t see inside the app.
  • Klue / Crayon — great for aggregating competitor web content, reviews, news. No mobile app coverage.
  • Manual screenshots — what most growth teams actually do. Tedious, inconsistent, and the first thing that stops when the person doing it goes on vacation.

The result: growth teams find out about competitor changes from customers (“hey, [competitor] now has a team tier”), from Twitter, or from pure chance.

There’s a better way.


What to Track

Before setting up automation, decide what signals matter for your business. The most valuable categories:

1. Pricing screens

When competitors change pricing — add tiers, change price points, restructure annual vs. monthly framing — it shows up first in the app. Catching this quickly helps you adjust positioning and pricing strategy before customers notice.

What to capture: The full pricing/paywall screen, including tier names, prices, feature bullet points, and CTAs.

2. Onboarding flow

Onboarding is where most products have their highest experimentation density. A competitor that suddenly skips email verification, adds a team invite step, or moves social proof earlier in the flow is signaling something about what’s working.

What to capture: Each step of the onboarding sequence, with screenshots and step count.

3. Feature gates and paywalls

Which features are gated? Where do paywalls appear? How aggressive is the upsell? These decisions reflect what a competitor has learned about their conversion funnel.

What to capture: First paywall hit during a fresh session, plus any “upgrade” prompts encountered during normal usage.

4. Home screen / dashboard

The home screen reflects priority — what the product team thinks users most need to see. Changes here signal strategic shifts.

What to capture: The logged-in home screen immediately after onboarding and one week later (to see any onboarding tooltip layers removed).

5. Push notifications

If you have a test device with competitor apps installed, capturing push notification content over time shows you their retention playbook — what messages they send, at what cadence, with what framing.


The Old Way vs. The New Way

The old way (what most teams actually do)

  1. Assign to a junior PM or intern: “Check [3 competitor apps] every Monday, screenshot the onboarding and pricing, put it in this Notion doc”
  2. This works for 2-3 weeks
  3. Person goes on vacation or moves to a different project
  4. No one remembers to do it
  5. Team misses a competitor’s major pricing change
  6. Repeat

The issue isn’t effort — it’s that manual competitive monitoring is nobody’s actual job. It always gets deprioritized.

The new way (AI-powered, automated)

AI agents can navigate mobile apps the same way a human would — tap, swipe, enter text, navigate menus. Tools like NeuralBridge, Droidrun, and mobile-mcp expose this capability via MCP, meaning any AI agent that supports MCP can control a phone through natural language.

The workflow:

  1. AI agent launches competitor app on a connected Android device
  2. Navigates to target screens (onboarding, pricing, dashboard)
  3. Takes screenshots at each step
  4. Returns a structured report: screenshots + AI summary of what it found
  5. Optional: diffs against last week’s screenshots, flags changes

This runs on a schedule — weekly, daily, or on demand. No human needed after initial setup.


Step-by-Step: Setting Up Competitor Monitoring with jerrryy

jerrryy packages this workflow into a product — no tool setup, no MCP configuration, no Android knowledge required.

Step 1: Submit the apps you want to track

Go to jerrryy.com/tools/competitor-app-tracker and enter:

  • The competitor app name (or package name, e.g. com.spotify.music)
  • What to capture: onboarding flow, pricing screen, dashboard, or custom path

Step 2: Receive your first scan

jerrryy runs an AI agent that navigates the app, captures the screens you specified, and emails you a structured report within 24 hours. The report includes:

  • Timestamped screenshots of each captured screen
  • AI summary: “Here’s what we found in their onboarding — 6 steps, email required, team invite prompt appears at step 4”
  • Notable observations: pricing structure, feature gates, CTAs

Step 3: Schedule recurring scans

Set a weekly cadence. jerrryy will scan the same apps every Monday morning and flag what changed since last week — added screens, removed steps, new pricing tiers, changed copy.

Step 4: Share with your team

Competitive reports go to your email in a format designed for sharing in standups, Notion docs, or Slack. No data cleaning, no screenshot sorting.


Template: What to Put in Your Competitive Brief

Use this structure for weekly sharing with your team:

## Competitor App Update — [Week of Date]

### [Competitor Name]
**What changed:** [1-2 sentence summary]
**Screens captured:** Onboarding (6 steps), Pricing screen
**Notable:** [Competitor] added a "Teams" tier at $X/user/month. Paywall moved to step 3 (was step 5).
**Screenshot diff:** [link]
**Our response:** [action item or "monitor for now"]

What Growth Teams Learn From This

The Duolingo growth team famously added screenshot tracking to their own app to find “hotspots” — screens users were organically screenshotting to share. They used those insights to double down on viral moments.

The same instinct applies to competitor apps. When you systematically watch what competitors are doing with their onboarding and pricing, you start to see:

  • Where they’re struggling (paywall gets more aggressive = conversion is low)
  • What’s working for them (A/B test variant persists for 3+ weeks = it won)
  • Strategic bets they’re making (new enterprise tier = they’re moving upmarket)

That’s not guesswork — it’s data. And it’s data that, until now, required either a developer or an intern with too much time.


Set up automated competitor tracking with jerrryy — submit your first scan free →