

The right dating app features decide whether people sign up, trust the service, start conversations, and come back. A strong concept and a polished interface get a visitor to the first screen. After that, the details take over: how quickly an account is created, how a profile shows personality, how matches are suggested, and how safe it feels to reply.
This guide covers 15 dating app features in two groups. Essential features are what a dating app needs to work and earn trust. Advanced features improve engagement and can support monetization. We draw on examples from Tinder, Hinge, and Bumble where their features are documented, and we show how to prioritize if you're planning an MVP.
Sign-up is the first test of a dating app. Every extra field or forgotten password costs you a few visitors, so many apps now combine several options: email or phone registration, a one-time code instead of a password, and sign-in with an existing account.
One-time passwords (OTP). A short code sent by email or SMS can be used for registration and for every later login. People no longer have to remember a password, and you remove one common route to account takeover: reused or guessed passwords.
Google sign-in and One Tap. In Google's case study, Pinterest reported 47% more sign-ups on web and mobile web and 126% more on Android after adding Google One Tap. That's one company's result, but it shows how much friction a one-tap flow can remove. Some dating users prefer not to connect their profile to social accounts, so offer these options as choices, not requirements.
Account protection. Add two-factor authentication for people who want it, and balance simple registration with checks that keep fake accounts out. Test any sign-in option with your own audience before you assume it raises conversion.
Profile prompts help people get past the "what should I say about myself" block. They are short, pre-set questions or sentences that take a minute to answer, such as "My perfect Sunday…", "The way to win me over is…", or "I'm overly competitive about…". Answering a few of them feels easier than writing an essay, and the result is a livelier profile that gives matches something to react to.
Prompts also work as openers. A reply to a specific prompt answer is easier to write than a cold "hi," which makes them a quiet conversation tool. Hinge built much of its product around them, with text answers and voice prompts, and Bumble offers prompts too.
Beyond prompts, a solid profile usually includes photos, interests, a few personality questions, and inclusive options for gender and relationship goals. Optional audio or video elements can add personality. Not every app offers every format, so choose the ones that fit your audience.



Discovery decides who people see. At its simplest, matching is rules-based: users set preferences such as age range, distance, and relationship goals, and the app shows people who fit. Many apps layer shared interests, location, and past behavior on top.
Machine learning can refine those suggestions, but it has limits. Results depend on the quality of the data and on how the model is built, and no algorithm can measure chemistry. Hinge, for example, highlights a single "Most Compatible" suggestion each day, which shows one way to make recommendations feel curated rather than endless.
For most new platforms, clear filters and transparent rules come first. Let people see and control what they're matched on, and add more complex recommendation logic only after you have enough activity to learn from.
The core loop is simple: someone likes a profile, the other person likes back, and the two are matched. From there, real-time messaging does the heavy lifting. Messages should arrive quickly, show clear delivery status, and let people share photos with consent.
How a conversation starts matters as much as how it's delivered. Bumble lets users set up to three Opening Moves, prompts that matches can answer to begin a chat. Others add conversation starters or limit unsolicited messages to keep inboxes manageable. Whichever approach you choose, design for the quality of conversations, not just the number of messages sent.
Verification gives people a reason to trust that the profile in front of them belongs to a real person. It comes in levels, and each one addresses a different risk:
Liveness checks used to be expensive for small teams, and automation has changed that. Amazon Rekognition Face Liveness, generally available since April 2023, analyzes a selfie video to detect spoofs, including printed photos, videos, and 3D masks, and is priced per check. Compare that cost with the hours moderators spend on manual review.
Be realistic about what verification does. It reduces specific risks, such as fake and duplicate accounts, but it doesn't guarantee that every user is who they claim or that their intentions are good. Biometric checks also raise privacy questions, so explain what you collect, how long you keep it, and why.
Notifications bring people back to something that's waiting for them: a new match, a message, a like. For a dating app, that's the difference between a conversation that continues and one that quietly dies.
The key is control. Let members choose which events trigger a notification, how often, and at what hours, and ask for permission clearly. Too many alerts lead to notification fatigue, and people simply switch them off. Treat push as a tool for returning to conversations, not a guaranteed way to raise retention.
The technical route depends on your platform. Native apps use the operating system's push services. A progressive web app can also send web push where the browser, device, and user permission allow it, which gives web-first projects another way to re-engage members.
Safety tools are part of the product, not an add-on. At a minimum, a dating app needs:
Handling inappropriate behavior also takes policy. Publish clear rules, explain what happens after a report, and act consistently. Protect personal data with sensible access controls and encryption, but don't promise absolute security: no platform can honestly offer that.
In a feed full of likes, a plain "like" is easy to miss. A super-like exists to let someone say "I'm especially interested" and stand out. Because it's limited, it carries more weight: the recipient notices it, and it often prompts a closer look at the sender's profile.
Each major app has its own version. Tinder calls it a Super Like, Bumble a SuperSwipe, which shows a clear indication that you've gone beyond a regular swipe before you match. On Hinge it's a Rose: members get one free Rose each week, and a Rose appears at the top of the recipient's Likes You screen. Free users get a small allowance, and subscribers or buyers get more.
For an app owner, this is a natural monetization lever, sold through subscriptions or in-app purchases. SkaDate offers a Super Likes plugin that lets subscribers highlight their interest with a special visual cue. Keep the free allowance meaningful, or the feature will feel like a paywall.
In the ocean of matches and messages, it’s easy for a humble “like” and a person who sent it to remain unnoticed. To help our Romeos and Juliets stand out and express their very special interest, the Super Like was created.


By the way, if you don’t have SuperLike on your dating app, but want to add it, SkaDate can help with implementation. As one of the money-making features, SuperLike can increase your revenue through in-app purchases or subscriptions. That’s why it’s a great investment, just consider it.
Read also: Step-by-Step Dating App Development Guide: How to Create a Dating App That Stands Out
Usually a conversation starts only after both people match, but letting someone react to a specific part of a profile first can make a connection more likely. A short comment on a photo or prompt shows the sender actually looked, and it gives the recipient something to answer.
Hinge builds this into the like itself: you can tap a photo or prompt and add an optional comment before sending. Bumble's version, called Notes (previously Compliments), lets you send a message before matching, based on a photo or prompt. Tinder pairs messages with Super Likes for its top subscription tier, according to third-party reviews.
How you price and limit this feature is a product decision: free for everyone, capped per day, or part of a premium tier. Avoid promising a higher response rate unless you've measured it in your own app.


A boost shows a profile more often and more prominently for a short time. Tinder's Boost puts a profile among the top profiles in the area for 30 minutes, according to widely cited descriptions. Bumble's equivalent, Spotlight, is included weekly with Boost and Premium subscriptions and can be bought separately.
More views can mean more likes, but a boost only changes visibility, not how appealing the profile is. Results also depend on how many people are active nearby while it runs.
Boosts are a possible monetization tool, not a must-have for every app. If you add one, be clear about what it does and consider limiting how often it can be used, so that paying members don't push everyone else out of view.
Text only goes so far. Voice notes and video calls let people hear a laugh or check the chemistry before meeting in person, and they can feel safer than sharing a phone number. Voice prompts on profiles and voice-note messaging are available in some apps, and video chat is a common request in others.
These features need careful design. Both people should consent to a call, either should be able to end it at once, and a block or report option must stay one tap away. Think about recording rules and where media is stored, since voice and video are more personal than text.
Costs and monetization matter too. SkaDate's dating app builder lists voice and video calls built on WebRTC, with a customizable credits-per-minute option. Don't assume video calls improve the match-to-date rate; treat that as a hypothesis to test in your own app.
AI in dating apps ranges from shipped tools to experiments, and it helps to keep them apart.
Shipped tools. Hinge's Prompt Feedback, released in January 2025, uses AI to evaluate a prompt answer and offer private guidance at three levels. It doesn't write the answer for the user. Hinge later added Convo Starters, which helps with openers, according to Mashable's report. Moderation is another practical use: AI can help flag suspicious accounts and messages for human review.
Experiments. Tinder said in late 2025 that it was testing Chemistry, a feature that learns about a user from questions and, with permission, their camera roll. It's a sign of direction, and it has raised privacy concerns, so treat it as a trend, not a standard.
The risks are real. AI can generate fake identities and polished but impersonal messages, recommendations can be wrong, and too much automation can make people feel they're talking to a script. Use AI to coach and assist, keep users in control, and be open about when it's involved.
While matching decides who might be compatible, personalization shapes what each person sees day to day. Useful controls include filters for distance, age, and relationship goals, and the ability to widen or narrow discovery without starting over. Some apps highlight curated picks, such as Tinder's Top Picks, a premium feature that surfaces profiles selected for the member.
Behavior can refine results too: whom someone likes, skips, or messages. The risk is a narrow bubble, so keep a way to explore beyond predictions and tell users how recommendations work. Don't repeat the logic you've already built for matching. Here the focus is on settings people can see and change, plus gentle personalization on top.
Gamification adds playful touches: daily streaks, interactive prompts, quizzes, and icebreaker games. Done well, it lowers the pressure of starting a conversation and gives members a reason to return.
Be careful with mechanics that reward endless swiping. They can raise activity while making the experience worse. Some apps go the other way: Hinge limits free daily likes, which encourages members to be selective, and it doesn't publish one fixed number for every account. Ask whether a mechanic helps people connect or merely keeps them tapping, and keep what helps.
Most dating apps are free to join and earn from paid upgrades. Common models include:
SkaDate's app builder describes freemium, pay-to-message, credits-based, and hybrid models. For a closer look at the economics, see our guide to how dating apps make money.
One principle matters more than any pricing choice: don't make basic safety a paid privilege. Blocking, reporting, and core protection should work for everyone. Premium should add convenience and choice, not decide whether someone feels safe.
You don't need all 15 features on day one. Group them by stage and add the next layer once real usage shows what members want.
| Stage | Features | Why this stage |
|---|---|---|
| MVP | Sign-up and login, profiles, discovery with basic filters, likes and messaging, email or phone verification, blocking and reporting | The minimum for a service people can join, use, and trust |
| Growth | Notification preferences, richer profile prompts, photo or liveness verification, advanced filters, super likes, messages with likes, a first premium tier | Improves conversations and starts revenue once there's activity |
| Advanced | AI assistance, voice and video, gamification, boosts, credits, ID checks, personalized recommendations | Adds depth and revenue once the core is stable and you have data |
Priorities shift with your audience, product model, and budget. If you're planning a launch, our step-by-step guide to starting a dating app walks through the wider process.
A longer feature list doesn't make a better app. These questions help you decide what to build:
Start with a focused core, measure how members behave, and let that evidence decide what comes next.
Essential features make a dating app usable and trustworthy: simple sign-up, profiles that show personality, clear discovery, real conversations, verification, notifications people control, and safety tools. Advanced features, from super-likes and boosts to AI help and premium plans, add engagement and revenue once that base is solid.
More features don't make a better app. Pick the ones your audience needs, build them well, and add the next layer as you learn. If you're planning your own platform, SkaDate's dating app builder combines chat, voice and video calls, virtual gifts, and flexible monetization models, and its plugins work across the desktop site, PWA, and native apps.
Serial entrepreneur with over 15 years of experience in the online dating industry. He has successfully built and scaled multiple platforms from zero to millions in revenue, including Meetville (Co-Founder, scaled to $5M+ ARR) and Seeking.com (Head of Growth, drove $20M+ in revenue growth).
Alex helps founders build profitable dating businesses, not just apps. He shares playbooks on launching and growing dating products.
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