Mobility App Marketing: How to Acquire Riders City by City

Mobility app marketing is the practice of acquiring, activating and retaining users for apps that move people around a city: e-scooter and e-bike sharing, car sharing, ride-hailing, rental and vehicle subscription apps. It differs from most app marketing in one important way. A mobility app only has value where its vehicles are, so every campaign is tied to a map. A user who installs in a city you do not serve is wasted spend, and a user who signs up but never finds a vehicle within walking distance churns before the first ride.

A first ride (or first rental) is the activation event that matters most in mobility: the moment a verified user unlocks a vehicle and completes a trip. Hyperlocal targeting is the practice of restricting and tailoring ads to the specific zones, cities and languages where the service operates. This guide explains how Admiral Media plans, launches and scales user acquisition for mobility brands, using real results from Admiral Media’s work with TIER, Miles Mobility and other location-bound apps, plus the platform rules that shape every mobility account.

Admiral Media has managed more than €500M in ad spend for 150+ mobile brands. The patterns below come from that work, and every number in this article is linked to its source.

What makes mobility app marketing different from other app categories?

Why can’t a mobility app be marketed like a game or a subscription app? Because demand is local, supply is physical and the valuable event happens on the street, not in the app. Those three constraints change targeting, measurement, creative and budgeting at the same time.

Most consumer apps sell a product that works the same everywhere. A meditation app is equally useful in Lisbon and in Leeds. A scooter app is useless in a city with no scooters, and less useful in a neighbourhood where the fleet is thin. That is why mobility growth teams think in zones rather than countries, and why the same campaign can look profitable in one district and wasteful three kilometres away.

In Admiral Media’s work across location-bound apps, four differences show up again and again:

• The service area defines the addressable audience. Targeting outside the operating zone produces installs that can never convert. Geo settings are a profitability lever, not an admin detail.
• Activation has real-world friction. Before a first ride, users often need to verify identity, add a payment method and, for car sharing, verify a driving licence. Each step leaks users, so the install is a weak signal.
• Usage is habitual and seasonal. Riders who commute repeat often. Weather, holidays and daylight shift demand, especially for two-wheelers.
• Supply and demand must stay balanced. Paid media can overshoot supply. Driving thousands of new users into a zone with too few vehicles harms the first experience and depresses retention.

The scale of the category is real. According to the National Association of City Transportation Officials, people took 133 million shared micromobility trips in the U.S. and Canada in 2023, split between 68 million bike trips and 65 million scooter trips, as summarised by the U.S. Department of Energy. Demand exists. The marketing problem is matching it to vehicles, street by street.

Which mobility app models exist, and how does each one change the marketing plan?

Which type of mobility app are you marketing? The answer sets your conversion event, your payback horizon and how tightly you must control geography. Micromobility, car sharing, ride-hailing and rental or subscription models share a map problem but differ in ticket size, verification friction and usage frequency.

The table below is a planning tool the Admiral Media team uses at the start of mobility engagements. It is qualitative on purpose: the right numbers come from your own data, not from a generic benchmark.

Two practical rules follow from this table. First, the higher the verification friction, the more important it is to optimise for an event below the install, because install volume tells the bidding algorithm almost nothing about who will pass verification. Second, the tighter the geo control, the more you should structure campaigns by city or zone so budgets and bids can follow fleet availability.

How did Admiral Media scale TIER from one channel to a multi-market growth stack?

How do you take a scooter brand from a single paid channel to multi-country scale? In TIER’s case, Admiral Media audited the existing setup, built a localized creative and copy system across 8 languages, added two new channels and moved optimization down the funnel. The result was +297% new customers and a 5x acquisition budget in less than 3 months.

TIER operates shared e-scooters and e-mopeds and was running paid user acquisition on Facebook for its iOS and Android apps when it partnered with Admiral Media. The TIER case study describes the core difficulty plainly: campaigns had to run in 8 languages, including German, French and Swedish, and the service needed hyper localization, which multiplies the complexity of analysis, optimization, creative and copy.

Admiral Media’s approach had three phases:

1. Audit and research. The team audited TIER’s existing Facebook campaigns, creatives and tested audiences to identify which demographics engaged and were willing to ride. It then analysed public user data from social platforms to map where the target personas spend time, and built a channel roadmap: which channels to start with and which to expand to later.
2. Localized creative operations. Admiral Media prepared creative briefs, set up an approval process with TIER’s brand department and built a central database for ad copy in all 8 languages, so copy could be tested quickly to find the tone that works in each market.
3. Benchmarks and decision rules. The team set benchmarks for CPM, CPC and CTR alongside TIER’s target KPIs, then used a simple if/else approach for daily optimization: scale and iterate the best creatives, pause underperformers, look for new audiences and channels, measure profitability, double in size and repeat.

On the funnel, Admiral Media started with install optimization and moved down to sign-up optimization once the account had enough learnings and data. The stack expanded from Facebook to Google and Snapchat. When iOS 14 arrived and attribution degraded, budgets were reallocated to keep visibility on where real value came from.

Admiral Media scaled TIER’s paid user acquisition across Google, Facebook and Snapchat with localized creative in 8 languages, achieving the following results:

• +297% new customers: growth in new customers acquired through the program.
• +2 new channels: Google and Snapchat added alongside Facebook.
• 5x budget scaling: acquisition budget scaled five times in less than three months.

TIER’s Head of Performance Marketing, Vincent Adorian, also credited Admiral Media with support on “reporting and finding answers to our questions about tracking and incrementality.” That matters for mobility brands, because the street-level value of a rider is rarely visible inside an ad platform’s dashboard.

What does the Admiral Media framework for mobility growth look like?

What is the right order of operations for a mobility app? Admiral Media uses a seven-step sequence that starts with the map and the fleet, not with the ad account. The aim is simple: never buy a user the service cannot serve, and never ask an algorithm to optimise for an event it cannot see.

The Admiral Media Zone-to-Rider Framework

1. Map the serviceable zones. Export the operating polygons and fleet density for each city. Define where paid media is allowed to run, and where it is not. Everything else in the plan inherits this map.
2. Define the value event chain. Write down every step from install to repeat ride: sign-up, verification, payment added, first ride, second ride. Instrument each one in your MMP and send them as in-app events to every channel.
3. Structure campaigns by city, not by country. Separate campaigns or ad sets per city (or cluster of similar cities) so budgets, bids and creatives can move with fleet supply, weather and local events.
4. Localize the message to the street. Use the city’s language, landmarks, commute pain and local pricing context. A copy database per market keeps this fast, as it did for TIER’s 8 languages.
5. Walk the optimization event down the funnel. Start on installs or sign-ups to build signal, then move to verified sign-ups or first rides once daily event volume supports it.
6. Capture search intent and route it into the app. Run search campaigns on high-intent queries and send users from web ads into the app with deep links, as Admiral Media did for Miles Mobility.
7. Measure incrementally and reinvest by zone. Use holdouts, geo tests and cohort data to decide which cities deserve more budget, then repeat the loop as new zones open.

The framework is deliberately boring at the start. In mobility, the expensive mistakes rarely come from a weak headline. They come from targeting the wrong area, bidding on the wrong event or scaling a city where the fleet cannot keep up.

How should mobility apps set up geo targeting without wasting spend?

How tight should your location targeting be? As tight as your service area, and no tighter than the platform’s data can handle. Precise geo settings remove dead spend, but over-narrow targeting can starve bidding algorithms of signal.

Each platform handles location differently, and the defaults are not built for mobility:

• Google Ads defaults to broad location matching. Google’s location targeting documentation explains that “Presence or interest” can reach people who are not in your targeted locations but have shown interest in them. For a scooter app, that can mean paying for users in another city. Google recommends the “Presence” option when you want to reach only people physically in your locations. The same page notes that radius targeting requires a radius of at least 1 km.
• Apple Ads location refinements are limited to single-country campaigns. According to Apple’s audience settings help, location refinement is available in a defined list of countries and regions, cannot be set within campaigns running in multiple countries, and ad groups with audience criteria need audiences of more than 5,000 customers to run. Apple even uses a local food delivery app as its example of when to refine by location.
• Paid social works best with city-level structures. On Meta, TikTok and Snapchat, the practical approach is to target the operating cities and use creative and copy to qualify the audience, rather than stacking narrow interest filters on top of a small radius.

There is a balance to strike. In Admiral Media’s work with the offline-first dating app Breeze, which sends users to real dates at partner venues, tight audience filters on Apple Ads caused spend to flatline and starved the algorithm of data. Dropping rigid filters and moving to automated, conversion-led bidding with Maximize Conversions increased Apple Ads spend by 4.4X while reducing CAC by 2.8X between November 2025 and April 2026, according to the Breeze case study. Breeze is not a mobility app, but the lesson transfers to any location-bound service: restrict geography to where you operate, then let intent and conversion data do the rest.

Which channels work best for mobility app user acquisition?

Which channels should a mobility app use? Most mobility brands need a search layer to capture people already looking for a ride, a paid social layer to create demand with localized video and a store layer to win users at the moment of download. The mix shifts by model and by market maturity.

For TIER, Admiral Media started on Facebook, then added Google and Snapchat in line with the channel roadmap. For Miles Mobility, the decisive channel was Google Search, run as a web-to-app program. The broader lesson is that channel choice follows the user’s intent. People searching for a car rental this weekend want an answer now. People scrolling Instagram on the tram need to be shown why the scooter outside is faster than the bus.

For a deeper look at each platform, see Admiral Media’s Google App campaigns guide and the overview of web-to-app versus app install ads.

How did Smart Bidding and web-to-app campaigns lift Miles Mobility’s conversions?

Can search campaigns that start on the web drive app growth for a car-sharing brand? They can, if the campaign structure, keyword strategy and measurement are built for it. For Miles Mobility, Admiral Media’s revamp of Google Ads web-to-app campaigns produced 260% more conversions at a 25% lower CPA.

Miles Mobility is a Berlin-headquartered car-sharing and car rental company operating in Germany and Belgium, with car and van sharing and a subscription product. According to the Miles Mobility case study, it faced three challenges in Germany’s competitive car-sharing market: a campaign structure that did not make optimal use of Google’s Smart Bidding, reach limited by traditional keyword targeting, and web-to-app campaigns that needed more accurate attribution.

Admiral Media implemented four solutions:

1. Aligned Search campaigns with Smart Bidding, so the bidding algorithm could optimise toward conversions rather than fragmented manual rules.
2. Added Broad Match keywords to widen reach beyond the existing keyword list. Broad Match works better with Smart Bidding because the algorithm uses conversion data to decide which wider queries are worth paying for.
3. Implemented a Mobile Measurement Partner (MMP) for more precise conversion tracking across the web-to-app journey.
4. Used Dynamic Keyword Insertion in ad copy to raise ad relevance and quality scores.

Admiral Media rebuilt Miles Mobility’s Google Ads web-to-app campaigns around Smart Bidding, Broad Match and MMP tracking, achieving these results:

• +260% conversions: more than three and a half times the conversion volume of the previous setup.
• -25% CPA: lower cost per acquisition while volume grew.

Why does this matter beyond one account? Google now offers a dedicated way to build this kind of journey. Its Web to App Connect documentation describes how deep linking can “take a customer from your ad directly to a specific page in your app,” and says the setup can improve web campaigns, including Search and Performance Max. For mobility brands, where many high-intent searches start in a browser (“car sharing Berlin”, “rent a van today”), this closes the gap between search intent and in-app conversion. Admiral Media covers the wider strategy in its guide to web-to-app funnels.

Which in-app event should a mobility app optimise campaigns for?

Should you bid on installs, sign-ups or first rides? Start where you have enough data, then move down the funnel as soon as event volume allows. Bidding on the deepest event you can sustain usually brings in users who actually ride.

The logic is mechanical. Ad platforms learn from the events you send them. If you optimise for installs, the algorithm finds people who install, including many who never pass verification or never live near a vehicle. If you optimise for first rides, it learns the profile of people who ride, but only if enough rides happen each day for the model to learn. A campaign that sees too few events per day stays in a learning state and delivers unevenly.

Admiral Media used this staged approach in both mobility and local delivery accounts:

• For TIER, campaigns started on install optimization and moved down to sign-up optimization once the account had enough learnings and data.
• For a UK fast-commerce grocery delivery app, another city-bound service, Admiral Media started with install optimization, moved to sign-up optimization and later to first-order optimization, as described in the fast commerce case study.

A useful middle ground for mobility is a proxy event: an event that happens soon after install, correlates strongly with the first ride and occurs often enough to train the algorithm. “Payment method added” or “licence verified” are typical candidates for car sharing. “Account verified within 24 hours” can work for scooters. On iOS, event timing also matters because SKAdNetwork and AdAttributionKit report conversions within limited windows, so an event that happens on day one is easier to measure than one that happens in week two. Admiral Media explains how to choose and test these events in its guide to app event optimization.

What did a hyperlocal delivery app teach us about scaling city by city?

What happens when a city-bound service has to scale fast across several metros? For a UK fast-commerce grocery delivery app operating in London, Amsterdam and Paris, Admiral Media took monthly user acquisition spend from zero to seven figures while cutting paid CAC by 91%. The model is a close cousin of mobility: local supply, local demand and a real-world first transaction.

The client promised delivery in under 20 minutes from stores in major cities, which created the same constraint mobility apps face: marketing only works where operations can deliver. Admiral Media assembled a team of marketers, designers and data analysts, built a custom creative production framework and ran the funnel approach described above, from installs to sign-ups to first orders.

The creative process ran on a fixed cadence. The team brainstormed ideas and analysed the category’s creatives twice a week, produced storyboards for approval, resized winners for each channel and launched tests using an accelerated testing strategy designed to reach statistical significance within one or two days. Winners were scaled and turned into variations.

Admiral Media ran full-stack user acquisition for the fast-commerce app across London, Amsterdam and Paris, achieving the following results:

• +64% paid installs: growth in installs from paid channels.
• +5152% paid users: growth in registered users from paid channels.
• +1210% paid purchases: growth in purchases attributed to paid media.
• +2178% paid conversions: growth in paid conversion events.
• -91% paid CAC: lower customer acquisition cost on paid channels.

The shape of this chart is the point. Installs grew modestly, while users, conversions and purchases grew far faster. That is what moving the optimization event down the funnel looks like in practice: fewer wasted installs and many more people who complete the real-world transaction. For a scooter or car-sharing app, the equivalent is fewer downloads from people who will never ride and more verified riders in served zones.

What creative works for scooter, bike and car-sharing ads?

What should mobility ads actually show? The best-performing mobility creative usually shows the ride in a real, recognisable local setting and answers the rider’s practical questions: how fast, how close, how much and how easy. Generic lifestyle footage rarely beats a clear local use case.

From Admiral Media’s creative testing across location-bound apps, these patterns tend to hold:

• Local context earns attention. Recognisable streets, local language and city-specific commute pain points beat stock footage. This is why TIER’s program invested in briefs and a copy database across 8 languages.
• Show the first ride, not the brand. Unlocking a vehicle in seconds, parking in a zone and seeing the trip end removes uncertainty for first-time riders.
• Compare against the real alternative. In most cities the competitor is not another app. It is the bus, the walk or the car parked two streets away. Time-saved and hassle-saved messages work because they mirror that choice.
• Use offers carefully. First-ride promotions can lift conversion rates, but they attract deal hunters. Track second-ride rates by creative and offer, not only first-ride cost.
• Refresh faster in small markets. City-level audiences are smaller than national ones, so the same creative is seen more often and fatigues sooner.

Process matters as much as ideas. Both the TIER and fast-commerce programs used fixed rules for scaling winners and pausing losers, so decisions did not depend on mood or a single bad day. Admiral Media’s full approach is set out in the creative testing framework for mobile apps.

How do you launch a mobility app in a new city?

What is the right sequence for opening a new city? Prepare measurement and creative before vehicles hit the street, launch paid media only once supply is in place and widen targeting as fleet coverage grows. A city launch is an operations event first and a marketing event second.

Two mistakes cost the most during city launches. The first is launching paid media before the fleet is dense enough, which turns early adopters into early churners. The second is copying the previous city’s settings without adjusting language, landmarks and pricing context. Admiral Media’s guide to app market expansion covers how to prioritise new countries and cities before committing budget.

How should mobility apps measure the real value of paid media?

How do you know if a mobility campaign is working? Judge it on verified riders and repeat rides in served zones, measured with an MMP and confirmed with incrementality tests, not on installs or platform-reported conversions alone.

Mobility measurement has three common blind spots:

• Organic and out-of-home overlap. Vehicles on the street are advertising in their own right. Many users install after seeing a scooter, then click a search ad on the way. Platform attribution will often claim that user.
• iOS signal loss. With SKAdNetwork and AdAttributionKit, conversions are reported in limited windows and coarse values. Events that happen days after install can be hard to attribute. TIER’s program had to reallocate budgets when iOS 14 introduced a wave of events from unidentified sources.
• Zone mix effects. A channel can look worse simply because it serves more users in thin-coverage zones. Always cut performance by city and zone before cutting a channel.

The practical fix is layered measurement. Use the MMP for user-level paths where available, cohort reports for retention and repeat rides, and geo-based incrementality tests (for example, pausing a channel in matched cities) to estimate what paid media actually adds. Mobility brands are well suited to geo tests because they already think in cities. Admiral Media explains test design in its guide to incrementality testing for mobile apps, and how SKAN reporting windows work in SKAdNetwork conversion values.

How do seasonality and weather change mobility app budgets?

Should mobility budgets stay flat across the year? No. Two-wheeler demand typically rises in warm, dry months and falls in winter, while car sharing and ride-hailing peak around holidays, events and bad weather. Budgets should follow demand and fleet availability, not the calendar month.

Admiral Media plans mobility budgets around a few principles:

• Build the user base before peak season. Acquiring and verifying users in the weeks before warm weather means they are ready to ride when demand peaks, rather than stuck in verification during the busiest days.
• Use weather as a creative signal. Rain-day messages for car sharing and sunny-weekend messages for scooters can be prepared in advance and switched on per city.
• Protect learning when scaling down. Cutting budgets sharply resets learning on many platforms. Gradual changes keep campaigns stable, so they recover faster when demand returns. Admiral Media covers safe budget changes in its guide to scaling app user acquisition.
• Shift winter budgets to retention. When acquisition is less efficient, reactivating lapsed riders before spring is often the better use of money. See Admiral Media’s guide to app retargeting.

How do you keep riders after the first trip?

Why do so many new riders never take a second trip? Usually because the first experience failed on a practical point: no vehicle nearby, a confusing parking rule, a surprise charge or a slow verification. Retention in mobility is mostly an operations and product problem that marketing can either expose or hide.

Paid media teams can still shape retention in three ways. First, by optimising for deeper events, as covered above, so campaigns bring in users who intend to ride. Second, by sending acquisition cohorts only to zones with healthy fleet density. Third, by aligning lifecycle messaging with acquisition messaging: if an ad promised a five-minute walk to the nearest vehicle, the onboarding push should help the user find it. Admiral Media’s guide to app churn rate shows how to find where users drop off and fix it.

A useful habit is to review new-rider cohorts by acquisition channel and city every week. If one channel delivers cheap first rides but a weak second-ride rate, the “cheap” users are expensive. That review, more than any single bidding tweak, is what keeps mobility growth profitable as it scales.

Frequently Asked Questions

What is mobility app marketing?

Mobility app marketing is the work of acquiring, activating and retaining users for apps such as e-scooter and e-bike sharing, car sharing, ride-hailing and vehicle rental or subscription. It differs from general app marketing because the service only works where vehicles are available. Campaigns therefore need city or zone-level targeting, localized creative and measurement built around the first ride rather than the install. Admiral Media plans mobility campaigns around the service map first and the ad account second.

How much does it cost to acquire a rider for a scooter or car-sharing app?

There is no reliable universal number, because cost per rider depends on the city, the verification steps, the fleet density, the channel mix and the season. A car-sharing app with licence checks will usually pay more per verified user than a scooter app with a simple sign-up. The better approach is to set a target cost per verified rider for each city based on expected repeat usage, then manage campaigns against it. Admiral Media tracks cost per sign-up, cost per first ride and second-ride rate side by side.

Should a mobility app optimise campaigns for installs or first rides?

Start with installs or sign-ups if the account has little data, then move to verified sign-ups or first rides as soon as daily event volume can support it. Deeper events teach ad algorithms to find people who actually ride, not just people who download. In Admiral Media’s work with TIER, campaigns moved from install optimization to sign-up optimization once the account had enough learnings. If first rides are too rare, use a proxy event such as payment added or licence verified.

How do I stop paying for app installs outside my service area?

Set location targeting to the cities or zones you serve and check each platform’s default location behaviour. In Google Ads, the “Presence” option limits ads to people physically in your locations, while “Presence or interest” can also reach people elsewhere. On Apple Ads, location refinements only work in single-country campaigns. Review installs by city every week and exclude areas that produce users who cannot ride.

Do web-to-app campaigns work for car-sharing apps?

Yes, especially for high-intent searches that start in a browser, such as car rental or car sharing in a specific city. In Admiral Media’s work with Miles Mobility, a Google Ads web-to-app revamp built on Smart Bidding, Broad Match keywords, MMP tracking and Dynamic Keyword Insertion delivered 260% more conversions at a 25% lower CPA. Deep links that send users straight to the right in-app screen make these campaigns more effective.

Which ad channels are best for micromobility apps?

Most micromobility brands combine search for high-intent demand, paid social for localized demand creation and Apple Ads for App Store searches. Meta, TikTok and Snapchat work well for short, local video showing real rides, while Google Search and App campaigns capture people already looking for transport. For TIER, Admiral Media expanded from Facebook to Google and Snapchat, scaling the acquisition budget 5x in less than three months. The right mix depends on market maturity and fleet coverage.

How do you measure incrementality for a mobility app?

Mobility apps can use geo experiments, such as pausing or increasing a channel in matched cities and comparing rider growth against control cities. This works well because mobility brands already operate city by city. Combine these tests with MMP data and cohort reports on repeat rides to see which channels add riders who would not have joined anyway. Out-of-home exposure from vehicles on the street makes platform-reported attribution especially unreliable for this category.