Dating Industry Glossary

Age Verification refers to technical measures used to confirm that dating app users meet minimum age requirements, typically 18+. Regulatory pressure is mounting worldwide, with the EU, UK, and several US states introducing or proposing mandatory verification laws. Methods range from ID document checks to AI-based age estimation.

Average Revenue Per User (ARPU) calculates the mean revenue generated per user over a given period, usually monthly or quarterly. It helps operators understand monetisation efficiency and is heavily influenced by subscription pricing and in-app purchase uptake. ARPU is a standard metric in dating company earnings reports.

A Boost Feature temporarily increases a user's profile visibility within the app, placing it at the top of the stack for a set period. It is one of the highest-margin in-app purchases offered by dating platforms. Boosts are a key revenue driver and are often bundled into premium subscription tiers.

Catfishing is the practice of creating a fake online identity to deceive other users on a dating platform, often using stolen or fabricated photos. It undermines trust and safety on platforms and can be a precursor to romance scams. Many operators now deploy photo verification and AI-based detection to combat it.

Chatfishing is the use of AI chatbots or language models to impersonate a real person in dating app conversations. It is an emerging trust and safety challenge as generative AI tools become more accessible. Platforms are developing detection mechanisms to identify AI-generated messages and protect users from deception.

Daily Active Users (DAU) measures the number of unique users who engage with a dating app or platform within a single day. It is one of the most important engagement metrics for operators and investors, often compared against MAU to gauge stickiness. A high DAU/MAU ratio typically signals strong product-market fit.

The Freemium Model offers a basic dating experience at no cost while charging for premium features such as advanced filters, profile boosts, or unlimited messaging. It is the dominant business model in the online dating industry, used by Tinder, Bumble, Hinge, and most major platforms. Success depends on balancing free value with compelling paid upgrades.

Ghosting is when one person in a conversation or early relationship abruptly stops all communication without explanation. It is one of the most commonly reported negative experiences on dating platforms and impacts user satisfaction and retention. Some apps have introduced nudge features or prompts to reduce ghosting behaviour.

Match Rate is the percentage of user interactions (swipes, likes, or similar actions) that result in a mutual match. It is a core product health metric that indicates whether the matching algorithm is surfacing compatible profiles. Low match rates can contribute to swipe fatigue and user churn.

Monthly Active Users (MAU) counts the unique users who open or interact with a dating platform at least once during a 30-day window. MAU is a headline metric in earnings reports and is used by analysts to benchmark growth across competing apps. Combined with DAU, it reveals how frequently users return.

Nanoship describes a brief, low-commitment interaction or micro-relationship that occurs on dating and social discovery platforms. The term captures the trend of users seeking casual, short-lived connections rather than long-term partnerships. It reflects evolving user behaviour and has implications for product design and engagement metrics.

Payer Conversion Rate is the percentage of free users who upgrade to a paid subscription or make an in-app purchase. It is a critical monetisation metric that directly impacts revenue per user. Industry benchmarks for dating apps typically range from 5% to 15%.

A Paywall in the dating context is a restriction that locks certain features — such as seeing who liked you, unlimited swipes, or read receipts — behind a paid subscription. It is the primary monetisation lever for freemium dating apps. Paywall strategy directly influences payer conversion rates and overall revenue.

A Romance Scam involves a fraudster building a fake emotional relationship with a victim, typically to extract money or personal information. It is a growing regulatory concern for the dating industry, with losses reaching billions globally each year. Platforms are under increasing pressure to implement detection systems and user education.

Shadow Banning is when a dating platform restricts a user's visibility or reach without notifying them, often as a response to reported behaviour or policy violations. The user can still use the app but their profile is shown to fewer or no other users. It is a controversial moderation tool that raises transparency concerns.

Social Discovery is a broader category of apps and platforms that facilitate meeting new people, encompassing dating, friendship, networking, and community features. Companies like Bumble and MeetMe have positioned themselves in this space to expand beyond purely romantic matching. The term reflects a strategic shift in how the industry defines its total addressable market.

Subscriber Churn measures the rate at which paying users cancel their subscriptions over a given period. High churn erodes recurring revenue and increases customer acquisition costs for dating platforms. Reducing churn through feature development and retention campaigns is a top priority for operators.

A Super Like is a premium interaction that signals elevated interest to another user, typically displayed with a distinct visual indicator. Pioneered by Tinder, it is often a limited free feature or a paid add-on designed to boost engagement and monetisation. Similar mechanics exist across many dating platforms under different names.

Swipe Fatigue describes the burnout users experience after repeatedly swiping through large volumes of profiles without meaningful connections. It leads to declining engagement, shorter sessions, and eventually app abandonment. Many platforms are redesigning their UX to combat this effect with curated suggestions and slower-paced formats.

White-Label Dating refers to dating platforms built by one company and rebranded by another to serve niche audiences or specific markets. It allows entrepreneurs to launch dating sites without building technology from scratch. Major white-label providers power thousands of niche dating sites worldwide.