What features do social media apps need to compete?

Two fitness apps can have almost identical feature sets and land in completely opposite places with users. One becomes part of the daily routine. The other gets deleted after a week. The difference is rarely the feature list.

Social media products get this wrong constantly, and it is understandable why. When a competitor ships a new feature and gains ground, the instinct is to match it. When a focus group says they want something, the instinct is to build it. Feature decisions end up driven by competitive anxiety and surface-level research rather than a clear understanding of what actually keeps people coming back.

Social media apps optimise for the moment of engagement rather than the relationship with the user over time.

The more useful question is not what features does this app have, but what does this app make the user feel, and is that feeling strong enough to bring them back tomorrow. Those are harder questions to answer, but they are the ones that determine whether a product survives its first month in the market.

What follows draws on our work across social, fitness, and community products, and on the patterns we see when feature decisions go well and when they quietly hollow a product out.

The features every social media app is expected to have

There is a base layer of features that any social app needs to be taken seriously. Users arrive with expectations formed by the products they already use, and if something obvious is missing, it reads as unfinished rather than intentionally minimal. These are the cost of entry.

A profile that represents the user, a content feed of some kind, the ability to follow or connect with others, a way to post or share, notifications, direct messaging, and some form of discovery or search. Every major platform has these. Every credible new entrant has them too. They do not make a product worth using. They make it eligible to be considered.

Beyond the basics, there is a second tier of features that users now expect in most social contexts. Reactions or responses to content, the ability to reshare or reference other people's posts, short-form video, stories or ephemeral content, and some version of a community or group space. These felt like differentiators five years ago. Now they are simply expected.

The challenge for any new social app is that matching this list takes enormous resource, and it still does not give users a reason to choose the product. Nearly 60% of app features are rarely or never used, which tells you something about where investment in feature parity actually ends up.

Why feature parity does not translate to adoption

There is substantial research showing that matching a competitor's features does not produce equivalent adoption. Users do not evaluate a product by ticking off a list. They form a feeling about it, and that feeling is shaped by much more than what is technically possible within the app.

Part of this is context. A feature that works in one product does not simply transfer to another. Users arrive at a new social app carrying their existing mental models of whatever they were using before. If the new product organises itself differently, or uses different language, or surfaces features in a different order, the experience feels unfamiliar even when the underlying capability is identical.

The bigger issue is purpose. When users describe an existing product as intuitive, they are often really describing their understanding of what that product is for. That broader understanding bleeds into how individual features feel. Once someone trusts a product's purpose, each feature makes sense within that frame. Strip that context away and the same interaction can feel confusing or arbitrary, even if the design is technically sound.

So a new app can have everything a market leader has and still feel worse to use, because the user does not yet have a frame to put it in. Feature parity is a product question. Adoption is a trust question, and trust is earned through clarity of purpose before it is earned through capability.

The difference between features users try and features they return for

Getting a user to try a feature and getting them to build it into their behaviour are entirely different problems. The first is partly a design challenge. The second is a psychological one.

Features that earn habitual use tend to do one of a small number of things. They reduce a friction that the user felt before. They give the user something they could not get elsewhere. Or they create a loop that feels genuinely rewarding rather than manufactured. The manufactured version is easy to spot in hindsight: users try it, get a brief hit of novelty, and then stop. The genuine version becomes load-bearing in their day.

Features users return for solve something real in their day, not something invented to fill a release cycle.

On a fitness social app we worked on, the original map feature let users see each other's real-time locations so they could meet up for shared workouts. The feature was trying to solve something genuine: the difficulty of finding someone nearby who wanted to train at the same time. But research showed that a high proportion of users were female, and precise location sharing created a real security concern. We redesigned the feature to show only a vague area rather than an exact location, with the option to share more after users had reviewed each other's profiles and connected.

The feature survived because the core value was preserved. Users could still judge whether a meetup was feasible. What changed was that the design no longer asked them to accept a risk they were not comfortable with.

That version of the feature had a reason to exist. It solved a real coordination problem, and it did so without asking users to compromise something that mattered to them. Features built that way tend to stick.

How the onboarding moment shapes whether any feature gets a chance

Most features never get a fair trial because users leave before they reach them. According to Business of Apps, 25% of users have left an app permanently by the end of day one. The onboarding moment is the product for most of the people who will ever open it.

The design implication is that onboarding has to do more than explain features. It has to establish what the product is for and give users an experience worth returning for before they have any reason to trust it. That is a narrow window.

Show users one thing the product does unusually well before asking them to set up a profile. The early experience should demonstrate value, not describe it.

The sequence matters as much as the content. Apps that ask for permissions in the first session see up to 60% lower opt-in rates compared to apps that wait until users understand what they are unlocking. The request is not the problem. The timing is. Asking someone to share their contacts before they know why the app needs them reads as presumptuous. Asking after they have seen a concrete benefit reads as reasonable.

Friction compounds quickly in early sessions. Users who experience friction in their first session are 2.7 times less likely to return by day seven, according to AppsFlyer mobile onboarding studies. Every unnecessary step, every screen that needs explaining, every permission asked too early reduces the chance that any feature in the product ever gets used.

Audit your onboarding by counting every tap between download and first value. Then remove anything that does not directly contribute to that value. Not streamline, remove.

When a core feature creates a problem you cannot ignore

Sometimes the feature that defines a product is also the one creating the most damage. The map-based location feature on the fitness social app is a clear example. It was the product's central mechanic, the thing that made it different from a standard fitness tracker. And it was the feature creating a significant safety problem for a large part of the user base.

The instinct in that situation is to treat the safety concern as an edge case and optimise for the majority who are not affected. That instinct is usually wrong. Safety concerns in social products are not edge cases, and they do not stay contained. They shape how the whole product is perceived, and they surface eventually in press coverage or regulatory attention or simply in the slow departure of users who feel uncomfortable but never say why.

The right response is to redesign the feature so that the core value survives but the harm does not. On the fitness app, randomised location offsets preserved enough proximity data for users to judge whether a meetup was realistic, while removing the precision that created the security risk. The feature became opt-in at the detail level: users could share their exact location after connecting, once they had chosen to trust someone. That structure kept the product's defining mechanic intact and made it genuinely usable for the full user base rather than a portion of it.

The question to ask of any core feature is whether it is serving all the people likely to use it, not just the ones who came to mind during the build.

What focus groups with the wrong audience taught us about community features

On a concierge app project for a property developer, the client wanted the product to handle both full building management and community building between residents. We ran focus groups to understand what actually creates community, and one of those groups included social housing tenants rather than the target demographic of premium property residents.

That felt like the wrong audience. It turned out to be the most useful one.

What we found was that those participants were having genuinely meaningful conversations with each other, not superficial ones. They knew each other's names, their routines, their families. That familiarity was what created the sense of community, and it had been built through direct human contact rather than through any digital feature. The app could not manufacture that. But it could protect the conditions for it.

The strategic shift that followed was to stop treating the concierge app as a replacement for human interaction and start treating it as something that cleared the ground for it. Maintenance requests, fire drill procedures, recycling schedules, the transactional and mundane went into the app. The concierge's time and the residents' attention were freed up for the conversations that actually build community. Personalisation features let residents see who their neighbours were and what they cared about, so face-to-face moments had something to build on.

Community features designed without that understanding tend to produce digital spaces where nothing happens. The medium cannot do the work that human familiarity does.

Why two product goals in one app usually means neither works

The concierge app project also illustrated a problem we see across product categories: when a single app is asked to serve two genuinely different goals, both suffer. Building management and community building are not complementary. They pull users into different modes of engagement. One is transactional and functional. The other is social and open-ended. Designing for both at once means neither gets the clarity it needs.

The user experience of a building management tool needs to be fast, clear, and forgettable in the good sense. You submit the request, you get the confirmation, you move on. The experience of a community tool needs to be slow, warm, and worth returning to. These are not the same product. Building them into the same interface creates friction in both directions.

Resolving the tension on the concierge app meant being explicit about what each part of the product was for. The building management layer was designed for efficiency: as few taps as possible to complete a task. The community layer was designed for discovery and familiarity: surfaces that rewarded spending a moment rather than completing one. That distinction only became possible once the client accepted that the two goals were in tension rather than complementary.

Before adding a new feature category to an existing product, ask whether it serves the same emotional mode as the rest of the app. If it requires a different emotional state, it probably belongs in a different product.

Splitting the intent made both goals achievable. Trying to serve both with a single undifferentiated design would have made neither work properly.

The features that earn habitual use versus the ones that just fill a roadmap

There is a visible difference between features built because they solve something and features built because the roadmap needed filling. The second type tends to arrive fully formed in a release, get used briefly by the curious, and then sit dormant. The product analytics show that the feature exists. They do not show anyone using it.

Features that earn habitual use share a few characteristics. They are easy to reach from wherever the user already is. They produce a consistent result, so users know what they are getting. And they connect to something the user already cares about rather than asking them to care about something new.

Tinder's safety features are a useful example of the latter. Their 'Are You Sure?' feature, which prompts users before sending a message flagged as potentially offensive, reduced the sending of harmful messages by more than 10%, according to Tinder's own reporting. The feature works not because it blocks behaviour but because it introduces a small pause that gives users a chance to reconsider. It connects to something users already care about: the quality of conversations they have. That is why it produces a measurable result rather than sitting unused.

Features designed around what users already want, rather than what the product team wants users to want, are the ones that become load-bearing. The others fill a release note.

How to decide which features to build first

The most common mistake in feature prioritisation is treating the roadmap as a list of things to build rather than a sequence of bets to place, and it is a mistake that a sound app planning and strategy process is specifically designed to prevent. Every feature takes resource. Every feature that does not earn its use takes resource and produces nothing. The question is not what should eventually exist in this product, but what should exist first and why.

A useful starting point is to separate features by what they are actually for. Some features bring users in. Some features get users to a moment of real value quickly. Some features keep users returning. These are different jobs, and they need to be built in the right order.

1. Identify the single moment in the product where users first feel genuine value, and remove everything between download and that moment that does not directly contribute to reaching it.
2. Build the feature that creates that first moment of value before building anything else.
3. Only once retention is established, invest in features that deepen use or expand the audience.

The intent audit is a useful check at each stage. For every feature under consideration, ask whether it is there to serve a genuine user need, or whether it is there to serve a product metric. If the honest answer is the latter, the feature is not wrong to build, but it should not be built first. Features that serve product metrics rather than users tend to produce the kind of engagement that looks healthy in a dashboard and feels hollow to the people generating it. Session length goes up. Return rates do not.

Build for the user's experience of value first, and the metrics tend to follow. Build for the metrics first, and they tend to be the only thing that does.

Conclusion

Social media apps do not compete on features. They compete on how clearly they understand the people using them, and whether that understanding is visible in every decision the product makes. A feature list can be matched. That understanding cannot.

The products that earn sustained use are the ones that got honest about what they are for before they started building. They treated onboarding as the product, not the preamble. They redesigned features that created problems rather than shipping around them. They accepted that two product goals often need two products, or at least two very distinct layers of the same one.

The fitness app that redesigned its location feature, the concierge app that stopped trying to replace human connection, both of them got somewhere useful by being willing to ask whether the original plan was serving the user or just serving the roadmap.

That question applies at every stage. Before the first feature is built, and before the twentieth. The products that ask it consistently tend to be the ones still in people's daily routines two years after launch. The ones that do not tend to be the ones generating impressive dashboard numbers right up until users quietly stop returning.

If you are building a social product and want to think through what to build, what to cut, and what your users actually need from you, let's talk about your product.

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