---
title: How a Fast Food Business Can Utilise on Demand Apps?
description: How fast food businesses can use on-demand apps to own customer relationships, cut friction, build loyalty and protect margin.
image: https://weareaffective.com/hubfs/learning-centre-images/how-a-fast-food-business-can-utilise-on-demand-apps.webp
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# How a Fast Food Business Can Utilise on Demand Apps?

 Table of Contents

A customer opens their phone at 12:47pm, decides what they want, places an order, and expects it within thirty minutes. The whole exchange takes about ninety seconds. What happens in those ninety seconds, and what happens after, is where fast food businesses either build something durable or hand that relationship to someone else.

> The question for fast food brands is not whether to be on apps, but which apps and on whose terms.

On-demand apps have changed the basic shape of fast food. Ordering is no longer a physical act tied to proximity. A customer three kilometres away can become a regular, provided the experience of ordering from you is good enough to repeat. According to [Persistence Market Research, 2024](https://www.globenewswire.com/en/news-release/2024/01/25/2817022/0/en/Online-Food-Delivery-Services-Market-to-Reach-US-90-3-Billion-by-2030-Persistence-Market-Research.html), the online food delivery market is expected to grow from $3.7 billion in 2023 to $90.3 billion by 2030, at a compound annual growth rate of 13.4%. That is mainstream behaviour accelerating.

The [strategic choices made now, around which platforms to use](https://weareaffective.com/learning-centre/what-belongs-in-a-product-strategy-before-you-talk-to-a-development-team), whether to invest in a branded app, how to handle data and loyalty, will determine whether a fast food business grows its own customer base or simply rents access to somebody else's. This article works through those choices in order, from what the platforms actually offer to what a well-designed branded app can do over time.

## What On-Demand Apps Actually Offer Fast Food Brands

Third-party delivery platforms, the major aggregators, give a fast food brand something real: immediate reach to an existing audience of hungry people who are already browsing. For a business without the resources to build its own app or run its own delivery logistics, this is a genuine shortcut to revenue. A listing on a major aggregator can generate orders from day one, with no development cost and no fleet to manage.

But the offer comes with conditions worth understanding clearly. The platform owns the customer relationship. They hold the purchase history, the address data, the payment details, and the communication channel. The restaurant sees an order, fulfils it, and collects a reduced margin. The customer, from the platform's perspective, is their customer, not yours.

#### Commission Structures and Margin Reality

Commission rates vary by market and by platform, but they are rarely small. In New York City, legislation now caps third-party delivery fees at [15% of each order's purchase price, per the NYC Department of Consumer and Worker Protection](https://www.nyc.gov/site/dca/businesses/Delivery-Apps-Requirements.page), with limited exceptions. Other markets have no such cap, and rates can run considerably higher. At those levels, the margin question becomes urgent, particularly for lower-ticket items where the economics of delivery barely work even before platform fees are subtracted.

#### What the Platform Does Well

Aggregators handle logistics infrastructure, customer acquisition, and payment processing, all of which are expensive to replicate from scratch. For a fast food brand entering delivery for the first time, or testing a new location, the platform model lowers the barrier meaningfully. The mistake is treating it as a destination rather than a starting point.

## Why Treating Delivery Platforms as a Channel Is Costing You

A fast food business that relies entirely on third-party platforms for its delivery revenue is in a structurally weak position. The platforms can change their fee structures, alter search rankings, or promote competitors within the same interface. A brand that has built its customer base on a platform it does not control has, in practice, built the platform's customer base.

The data gap is the most consequential problem. Every order placed through a third-party app generates information: what was ordered, when, how often, whether the customer reordered, what they skipped, what drove them to try something new. On a third-party platform, that data stays with the platform. The restaurant receives a ticket and a payment, minus commission. The intelligence that would allow it to understand its customers and serve them better goes elsewhere.

This matters beyond analysis. Without order history, a fast food brand cannot build a loyalty programme that reflects real behaviour. It cannot send a targeted push notification at 12:30pm to someone who orders lunch on Tuesdays. It cannot identify its highest-value customers, or understand what keeps people coming back versus what causes them to drift. The platform knows all of that. The restaurant does not.

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## Owning the Customer Relationship Through a Branded App

A branded app moves the centre of gravity back toward the business. When a customer orders through your own app, every data point from that transaction belongs to you. You know who they are, what they ordered, and when. Over time, that information compounds into something genuinely useful: a picture of customer behaviour that no third-party platform will hand over.

The customer relationship also becomes direct. You can communicate with app users through push notifications, in-app messages, and loyalty mechanics without paying a platform for the privilege of reaching people who have already bought from you. That directness is what makes retention economics work at scale.

> A branded app is where customer data becomes yours, and where repeat behaviour turns into loyalty.

Building a consumer app is a long-term investment, and the mental model matters. Fast food businesses that [approach app development expecting to recover production costs](https://weareaffective.com/learning-centre/why-most-business-apps-fail-and-how-your-digital-business-can-avoid-the-same-fat) quickly through immediate app revenue tend to underinvest in the experience and overcharge on delivery fees to compensate. Consumer app revenue is built through volume, retention, and compounding growth over months and years. The app needs to earn repeat use before it earns margin, and that sequence cannot be reversed.

#### App Store Presence Shapes Who Downloads

On a gifting and wishlist platform we worked on, the client was reluctant to invest in App Store Optimisation, believing that the social nature of the product would drive referrals without it. Our position was that ASO remains essential regardless of how users hear about the app. The icon, screenshots, category, and copy all communicate what the product is before anyone opens it. Users who understand what they are downloading before they download it arrive with correct expectations, which reduces early abandonment. Getting that listing right is the first act of retention.

## Reducing Friction Without Losing the Brand Experience

Speed matters in fast food, and it matters in fast food apps too. A checkout flow with unnecessary steps, a menu that loads slowly, or a payment screen that times out will cost orders. But [reducing friction does not mean stripping out everything](https://weareaffective.com/learning-centre/5-things-that-make-the-difference-between-so-so-apps-and-stellar-apps-what-your-) that gives the experience personality. The two goals are compatible, provided friction is removed from the functional parts and care is applied to the brand moments.

The functional parts are the obvious ones: account creation, address saving, reordering, payment, and order tracking. Every additional tap between hunger and confirmed order is a moment where someone reconsiders. Saved preferences, one-tap reorder, and guest checkout for first-time users all reduce that risk without touching the brand.

#### Where Brand Expression Belongs

Brand expression finds its footing in the moments that are not purely functional: the confirmation screen, the order tracking animation, the empty state when a cart is cleared, the way a new menu item is introduced. These are low-stakes moments from a task perspective, which makes them the right place to inject personality. A confirmation screen that communicates warmth costs nothing in usability and does genuine work on how the brand feels.

Map your ordering flow against a stopwatch. Time how long it takes from opening the app to seeing order confirmation. If it takes more than ninety seconds on a familiar device, identify the step causing the delay and remove it.

The principle we applied on a logistics platform for transport-based deliveries and removals transfers well here: when we built the driver app alongside a web-based customer product, we made clear decisions about which interface carried which function. Drivers needed speed and clarity. Customers needed reassurance and status. Confusing the two would have served neither. The same logic applies to a fast food app: design the ordering flow for speed, then design the confirmation and tracking experience for reassurance.

## Using Data From Your Own App to Drive Loyalty and Margin

The commercial case for a branded app is most visible in the data layer. Every order placed through your own app tells you something a third-party platform would have kept for itself, which is why [app planning and strategy](https://weareaffective.com/app-planning-strategy) should account for data ownership from the outset. Aggregate that across thousands of customers over months, and the patterns become actionable: which items drive repeat orders, which pairings are common, which times of day are underserved, which customers are drifting and might respond to a well-timed offer.

[Loyalty programmes built on this data are more effective](https://weareaffective.com/learning-centre/why-your-best-users-are-often-your-worst-source-of-product-direction) than generic point-collection schemes. A reward that reflects what a customer actually orders, offered at a moment when they are likely to be considering lunch, is materially more compelling than a generic discount code sent on a Tuesday morning. The targeting precision that real purchase data allows is the difference between a loyalty mechanic that drives behaviour and one that sits unused.

#### Margin Recovery Through Direct Orders

Every order placed through a branded app rather than a third-party platform represents recovered commission. At the rates that aggregators charge, shifting even a modest proportion of delivery volume to a direct channel has a meaningful effect on unit economics. The challenge is giving customers a reason to make that shift, which is where loyalty mechanics, exclusive menu items, and app-only pricing earn their keep.

Start with a simple data review before building any loyalty mechanic. Look at reorder rates, average order value, and the gap between first and second orders. These three figures will tell you more about what your loyalty programme needs to do than any competitor benchmark.

## Personalisation and Timing: Making the App Feel Like a Regular

The best fast food interactions, in person, have always been personal. A regular customer who walks in and gets their usual without having to ask is experiencing something that builds genuine attachment to that place. An app can replicate the feeling, provided it is built with behavioural timing in mind rather than generic notification blasts.

On a concierge app for a property development, we took timing seriously in a way that shaped the entire onboarding experience. If a resident signed up midweek, the system waited until the weekend before suggesting they explore the local area. It waited a few days after move-in before showing recycling locations, on the reasonable assumption that someone who has just moved in probably still has boxes. The app also adjusted suggestions based on whether the resident had children, surfacing relevant features accordingly. None of this required complex machine learning. It required [thinking carefully about where the person was in their life](https://weareaffective.com/learning-centre/what-a-development-team-actually-needs-to-know-about-the-user-before-sprint-one) at the moment the message arrived.

The same logic scales directly to a fast food app. A customer who orders lunch on weekdays at 12:30pm does not need a notification at 9am on a Saturday. A customer who always orders the same thing is a candidate for a well-timed "try something new" prompt, not a loyalty reminder for a product they already buy every week. [Timing and relevance are what separate a push notification](https://weareaffective.com/learning-centre/why-do-some-apps-feel-like-they-were-made-just-for-you) that drives an order from one that drives an uninstall.

#### Order History as Personalisation Input

Showing a returning customer their previous orders at the top of the menu is a small design choice with a disproportionate effect on repeat order rates. It reduces cognitive load, speeds up the decision, and communicates that the app recognises them. That recognition is the digital equivalent of the regular being served without having to ask.

## Integrating the App Into Operations, Not Around Them

An app that works well on a customer's phone but creates chaos in the kitchen has not solved the problem. Integration with kitchen display systems, stock management, and order routing is the part that determines whether the promise made to the customer through the app is actually kept.

The failure mode here is common: a fast food business launches an app, sees order volumes rise, and then finds that the kitchen cannot process digital orders and in-person orders at the same rate. The result is longer wait times, cold food, and negative reviews. The app experience was fine. The operational integration was not.

We built two connected products on a logistics platform for removals and transport: a web-based product for customers and a mobile app for third-party drivers. Because the drivers were independent contractors operating similarly to an Uber model, we needed a mechanism to confirm that deliveries had occurred in a way that was fair to both parties.

We implemented swappable codes and QR codes that created a double confirmation from both the customer and the driver, so disputes about whether a delivery happened could be resolved by the system rather than between people. That kind of operational thinking, building the mechanism for what happens at the point of handover, is exactly what fast food app development needs to carry into kitchen integration and order management.

Before launching app-based ordering, run a volume stress test with your kitchen team. Simulate peak order volumes with both digital and walk-in orders running simultaneously. The constraint will show itself in that test rather than on a busy Friday evening with real customers waiting.

## Getting Customers to Download and Stay on Your App

[Getting the download is the beginning of the problem](https://weareaffective.com/learning-centre/5-user-testing-methods-that-will-save-your-app-from-failure). Getting customers to keep using the app, rather than defaulting back to a third-party platform or ordering in person, is the ongoing one. Both require deliberate effort across different touchpoints.

Download incentives work when they are meaningful enough to justify the friction of the app store. A genuine first-order discount, a free item, or access to a menu item not available elsewhere gives a customer a concrete reason to change their behaviour. A vague promise of "exclusive offers" does not.

#### In-Store as an Acquisition Channel

Physical locations are an underused acquisition channel for branded apps. A customer already in the restaurant, already spending, is a warm prospect for an app download, particularly if the incentive is immediate. QR codes at the till, on packaging, or on table materials that take the customer directly to the app store listing remove the barrier of having to find the app independently.

When we worked on a surveying app for performance coaches, we recommended against requiring the audience to download a native app, because the friction of an app store download was too high for what was essentially a simple touchpoint. We used a QR code approach instead: the presenter created a survey in the native app, a QR code appeared on screen, and audience members scanned it to reach a fully branded, mobile-responsive web page. Completion rates were significantly higher than they would have been with a mandatory download step.

The principle applies in reverse for a fast food app: the moment of acquisition needs to be as frictionless as the moment of ordering, and in-store QR codes pointed at a pre-filled app store listing get closer to that standard than expecting customers to search independently.

Retention, once the download is secured, comes down to the experience being worth repeating and the communications being worth receiving. An app that personalises well, loads fast, and offers genuine value through its loyalty mechanics gives customers a functional reason to use it again. One that sends daily generic notifications and offers nothing a third-party platform does not already provide will see its install base quietly uninstall it within thirty days.

## Conclusion

The on-demand economy has not made fast food more complicated. It has made the choices clearer. A fast food business can exist on third-party platforms, take the reach, pay the commission, and remain largely invisible to its own customers. Or it can treat a branded app as the long-term investment it is, build a direct relationship with customers, own the data that comes from that relationship, and use it to improve the experience over time.

The two approaches are not mutually exclusive in the short term. Third-party platforms serve a real purpose for volume and reach, particularly in new markets or for new products. But the direction of travel matters. A business that is moving its most loyal customers toward its own app, recovering margin on direct orders, and building a data asset from its own transaction history is in a structurally stronger position every month than one that is not.

The operational, design, and behavioural decisions that make a fast food app worth using are not simple ones, but they are knowable. Fast ordering flows, well-timed personalisation, kitchen integration that matches what the app promises, and an app store listing that attracts the right customers before they download are the practical building blocks. Each one is a design problem with a right answer for that business in that context.

If you are working through any of these decisions and want a second perspective, [let's talk about your app strategy](https://weareaffective.com/get-started).

## Frequently Asked Questions

What do third-party delivery platforms actually offer a fast food business?

Third-party platforms give fast food brands immediate access to a large existing audience of customers who are already browsing for food. They also handle logistics, payment processing, and customer acquisition, which removes the need for a business to build that infrastructure from scratch.

What are the typical commission fees charged by delivery platforms?

Commission rates vary depending on the market and the platform, but they are rarely small. In New York City, fees are capped at 15% of each order's purchase price, but many other markets have no such cap and rates can run considerably higher.

Who owns the customer relationship when orders come through a third-party app?

The platform owns the customer relationship, including purchase history, address data, payment details, and the communication channel. The restaurant fulfils the order and receives a reduced margin, but the customer is considered the platform's customer, not the restaurant's.

Why is relying entirely on third-party platforms a risky strategy?

A fast food business that depends solely on aggregators is in a structurally weak position, as platforms can change their fee structures, alter search rankings, or actively promote competitors. This means a brand has very little control over its own visibility or customer relationships.

How large is the online food delivery market expected to become?

According to Persistence Market Research, the online food delivery market is expected to grow from $3.7 billion in 2023 to $90.3 billion by 2030. That represents a compound annual growth rate of 13.4%, making it a significant and accelerating mainstream behaviour.

Should a fast food brand build its own app instead of using aggregators?

The article suggests that the strategic question is not simply whether to use apps, but which apps to use and on whose terms. A branded app can help a business build its own customer base and data over time, rather than renting access to someone else's audience.

Are third-party platforms ever a good option for fast food businesses?

Yes, particularly for businesses entering delivery for the first time or testing a new location, as the platform model significantly lowers the barrier to getting started. The key mistake, according to the article, is treating a platform listing as a long-term destination rather than a useful starting point.

How has on-demand ordering changed customer behaviour for fast food brands?

Ordering food is no longer a physical act tied to how close a customer is to a restaurant. A customer several kilometres away can now become a regular, provided the ordering experience is consistently good enough to repeat.

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