What Data Do Apps Collect About You?

TL;DR: Apps collect seven major categories of personal data: identity, financial, technical, behavioral, biometric, health, and communications. The average app collects data from at least four of these categories. Identity data (name, email, phone) and technical data (device ID, IP address) are collected by virtually every app. Behavioral tracking -- your usage patterns, location history, and browsing habits -- is the fastest-growing category and appears in over 80% of apps analyzed by PrivacyFetch.

What Data Do Apps Collect?

Apps collect far more personal information than most people expect. Every tap, scroll, and pause generates data. Every permission you grant opens a new stream of collection. Most of this happens silently, buried in privacy policies that almost no one reads.

PrivacyFetch has analyzed the privacy practices of hundreds of popular apps and services. The data they collect falls into seven distinct categories, each with different levels of sensitivity and risk.

Here is a complete breakdown of what apps know about you.

The 7 Categories of App Data Collection

These percentages are based on PrivacyFetch analysis of companies across major app categories. The actual collection varies by app type -- a banking app collects more financial data, while a fitness app collects more health data. But the overall pattern is clear: most apps collect from multiple categories simultaneously.

Category 1: Identity Data

Identity data is the foundation of every app's data collection. This is who you are.

What it includes:

• Full name
• Email address
• Phone number
• Date of birth
• Physical address
• Username and profile photo
• Government IDs (for age verification or financial apps)

Almost every app collects at least your name and email address during account creation. Many also require a phone number for two-factor authentication or account recovery.

Why apps collect it: Identity data is required for basic account functionality. But it also enables cross-platform tracking. Your email address is the single most valuable identifier for linking your activity across different services and advertising networks.

Real-world example: PrivacyFetch analysis shows that social media platforms collect an average of 8 identity data points per user. Even apps that claim to be "anonymous" often collect device-level identifiers that function as proxy identity data.

Category 2: Financial Data

Financial data includes anything related to your money, purchases, or economic activity.

What it includes:

• Credit or debit card numbers
• Bank account information
• Purchase history and transaction amounts
• Billing and shipping addresses
• Subscription status and payment frequency
• Income estimates (inferred from spending patterns)

Why apps collect it: Payment processing requires some financial data. But many apps retain transaction history indefinitely and use it to build spending profiles. These profiles are valuable to advertisers who want to target users based on purchasing power and habits.

Real-world example: E-commerce and food delivery apps are the heaviest financial data collectors. PrivacyFetch analysis shows that major shopping apps retain full purchase histories for 3-7 years on average, even after account deletion requests.

Category 3: Technical Data

Technical data describes your device, network, and software environment. It sounds harmless, but combinations of technical data points create a unique "fingerprint" that identifies you without cookies.

What it includes:

• Device model, manufacturer, and OS version
• Unique device identifiers (IDFA, GAID, IMEI)
• IP address and approximate location
• Browser type and version
• Screen resolution and language settings
• Installed apps list
• Available storage and battery level
• Wi-Fi network name and cellular carrier

Why apps collect it: Some technical data is necessary for apps to function correctly -- rendering the right screen size, sending push notifications, or debugging crashes. But much of it serves tracking purposes. A combination of just 4-5 technical attributes can uniquely identify a device with over 95% accuracy.

Real-world example: PrivacyFetch has found that many apps collect 15 or more technical data points. Several popular apps scan the list of other installed apps on your phone -- a practice that reveals your interests, financial status, health conditions, and political leanings based on which apps you use.

Category 4: Behavioral Data

Behavioral data tracks what you do inside an app and, increasingly, across the web. This is the fastest-growing and most commercially valuable data category.

What it includes:

• Pages viewed and time spent on each
• Search queries within the app
• Items browsed, wishlisted, or added to cart
• Tap patterns, scroll depth, and swipe behavior
• Session frequency and duration
• Feature usage patterns
• Content interactions (likes, shares, saves, comments)
• Location history and movement patterns
• In-app navigation paths

Why apps collect it: Behavioral data drives personalization, recommendation engines, and targeted advertising. It is the raw material for algorithmic feeds. Companies sell behavioral profiles to advertisers, who use them to predict what you will buy, watch, or click next.

Real-world example: PrivacyFetch analysis of major social media platforms shows that behavioral tracking is the most extensive data category for these services. A single social media session generates hundreds of behavioral data points -- every post you pause on, every video you watch for more than 3 seconds, and every link you hover over.

You can check the behavioral tracking practices of any company in the PrivacyFetch directory.

Category 5: Communications Data

Communications data involves the content and metadata of your messages, calls, and contacts.

What it includes:

• Message content (in some cases)
• Message metadata (who, when, how often)
• Contact lists and address books
• Call logs and duration
• Email subject lines and senders
• Voice recordings and transcripts

Why apps collect it: Messaging apps need access to communications to function. But the distinction between content and metadata matters enormously. Even when apps claim they do not read your messages, metadata alone reveals who you talk to, how often, at what times, and for how long. Researchers have demonstrated that communication metadata is sufficient to infer relationships, health conditions, and political views.

Real-world example: When you grant an app permission to access your contacts, every name and number in your phone is typically uploaded to company servers -- including people who never agreed to share their information with that app. PrivacyFetch flags this practice as a high-risk signal.

Category 6: Health Data

Health data is among the most sensitive categories of personal information. It is also increasingly collected by apps outside the traditional healthcare sector.

What it includes:

• Step counts and physical activity
• Heart rate, sleep patterns, and vital signs
• Menstrual cycle tracking data
• Mental health assessments and mood logs
• Medication schedules
• Medical conditions and diagnoses
• Health insurance information
• Genetic data (from DNA testing services)

Why apps collect it: Fitness and wellness apps collect health data as their core function. But health data also appears in unexpected places -- insurance apps, workplace wellness programs, and even some social media platforms that track physical activity through device sensors.

Real-world example: PrivacyFetch analysis has identified health data collection in apps that users would not expect to handle medical information. Period tracking apps have faced scrutiny for sharing cycle data with third parties. Fitness apps have shared workout data with insurance companies. The sensitivity of health data makes any sharing particularly concerning.

Category 7: Biometric Data

Biometric data is a permanent identifier. Unlike a password or email address, you cannot change your fingerprint or face geometry.

What it includes:

• Fingerprint patterns
• Facial geometry and recognition data
• Voice prints and speech patterns
• Iris scans
• Gait and movement patterns
• Keystroke dynamics (typing rhythm)

Why apps collect it: Biometric data is used for authentication (unlocking your phone, verifying payments) and identification (tagging faces in photos). Some apps also use biometric data for age estimation, emotion detection, or identity verification.

Real-world example: PrivacyFetch assigns the highest risk scores to biometric data collection because it is irreversible. If biometric data is leaked in a breach, the affected individuals cannot reset their fingerprints. Under laws like the Illinois Biometric Information Privacy Act (BIPA), companies have faced billions of dollars in penalties for collecting biometric data without consent.

Which Types of Data Are Most Commonly Collected?

Based on PrivacyFetch analysis across all categories, here is how data collection breaks down by app type:

Social media apps are the heaviest data collectors, averaging over 22 distinct data types across all seven categories. Privacy-focused alternatives typically collect fewer than 6 data types.

How Do Apps Collect Data Without You Knowing?

Apps use several mechanisms to collect data beyond what you explicitly provide:

1. Permissions Creep

Apps request permissions that exceed their core function. A flashlight app does not need access to your contacts. A photo editor does not need your location. Yet many apps request broad permissions and collect everything they can.

2. Third-Party SDKs

Most apps embed third-party software development kits (SDKs) from advertising networks, analytics providers, and social media platforms. These SDKs collect data independently of the app developer. A single app can contain 10-20 third-party SDKs, each with its own data collection practices.

3. Background Collection

Many apps continue collecting data when you are not actively using them. Location tracking, sensor data, and network information can be gathered in the background if you have granted the relevant permissions.

4. Inferred Data

Apps create new data about you by analyzing what they already have. Your purchase history is used to infer your income level. Your browsing patterns reveal your interests and political leanings. Your location data shows where you work, live, worship, and seek medical care.

How to Find Out What Data an App Collects

You do not need to read every privacy policy yourself. Here is how to check:

1. Search the PrivacyFetch directory -- Look up any company to see a breakdown of what data they collect, who they share it with, and their privacy score
2. Check app store privacy labels -- Apple's App Store and Google Play both display data collection summaries (though these are self-reported by developers)
3. Review app permissions -- On iOS, go to Settings > Privacy & Security. On Android, go to Settings > Apps > Permissions
4. Submit a data access request -- Under GDPR or CCPA, you have the right to request a copy of all data a company holds about you

How to Reduce What Apps Collect

You cannot eliminate data collection entirely, but you can reduce it significantly:

• Audit app permissions regularly -- Revoke permissions you do not remember granting
• Use privacy-focused alternatives -- Switch to apps with higher PrivacyFetch scores
• Disable ad tracking -- Turn off IDFA (iOS) or Advertising ID (Android)
• Limit location access -- Set location permissions to "While Using" instead of "Always"
• Delete unused apps -- Every installed app is a potential data collection point
• Use a browser instead of apps -- Websites generally collect less data than native apps for the same service

Key Takeaways

• Apps collect data across 7 categories: identity, financial, technical, behavioral, biometric, health, and communications
• Identity and technical data are collected by over 95% of apps
• Behavioral data is the fastest-growing category and drives the advertising industry
• Social media apps are the heaviest collectors, averaging 22+ data types
• Third-party SDKs embedded in apps collect data independently of the app developer
• You can check what any company collects using PrivacyFetch

This analysis is based on PrivacyFetch's automated privacy policy analysis. Check any company's privacy score