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Shopping, Food & Marketplace Apps

Shopping, Food & Marketplace App Marketing: Grow First Purchases, Not Just Installs

ApsteQ is an app marketing agency for e-commerce, D2C, food and grocery delivery and two-sided marketplace apps. We run paid acquisition, deep links, re-engagement and push and CRM against cost per first purchase, so your budget buys customers who order, reorder and pay back, not downloads that never check out.

Why growth works differently in shopping, food and marketplace apps

A shopping app earns nothing on install. It earns on the first order, and then on the second, third and fourth. That makes the unit economics different from a game or a subscription app: you pay once to acquire a person, and the return arrives as a stream of orders that you can encourage, or lose.

Three things follow. First, the right goal is cost per first purchase, not cost per install. Second, the link between an ad and the exact product screen decides whether intent survives the tap. Third, most of the profit sits in repeat orders, so the work after the first order (push, email, in-app, win-back) is as important as the ad.

Food and grocery apps add habit and timing. Marketplaces add a second customer, the supplier, who has to be found and activated before buyers have anything to buy. We cover all four types on this page: e-commerce and D2C brand apps, food and grocery delivery, general marketplaces and local service marketplaces.

What we do for shopping and marketplace apps

Purchase-focused paid acquisition

Meta, Google App campaigns, Apple Ads and TikTok set up to optimise for first purchase and order value. See Paid User Acquisition.

Deep links and web-to-app

Universal links and verified App Links, deferred deep linking, and smart banners from your mobile site, tested on every path.

Re-engagement and retargeting

Audiences for installed-not-bought and bought-then-lapsed shoppers, with frequency caps, suppression on purchase and holdout groups.

Push and CRM lifecycle

Triggered flows for basket, back in stock, price drop, replenishment and win-back. See Retention & Lifecycle.

Store listing and search

App Store Optimization for category and product searches, plus SEO & AI Search so your products and brand show up in Google and AI answers.

Tracking and reporting

Purchase, order value and customer ID events, attribution setup, and a weekly view of cost per first order, repeat rate and payback by channel.

Need the app or the storefront itself? Our app development and web and SaaS development teams build checkout, catalogue and landing pages. Where it fits, we also automate order-update messages and reporting with workflow automation.

How it works

  1. 1. Audit the funnel

    We review store listing, purchase events, deep links, consent flow and the path from install to first order. The free App Audit is the starting point.

  2. 2. Fix tracking and links

    We make sure purchase value, customer ID and campaign data reach your attribution tool, and that every ad destination opens the right screen.

  3. 3. Launch a focused test

    One or two channels, a handful of creatives per product theme, optimising for the deepest event your volume supports.

  4. 4. Build the lifecycle layer

    Order, basket, price-drop and win-back flows go live in push, email and in-app, with a holdout to prove the lift.

  5. 5. Scale and calendar

    Budget moves to what pays back. We plan sale events and seasonal peaks weeks ahead and review cost per first order weekly.

Benchmarks we use to plan shopping app growth

Public benchmarks for shopping apps are patchy, and most good ones sit behind registration walls, so we only quote figures we have opened and can link. Use the table below as context for planning, and treat your own cohort data as the real benchmark.

SignalFigureWhy it mattersSource
Cyber Week 2025 online spend (U.S.)$44.2 billionSale events concentrate demand into daysAdobe Analytics
Share of Cyber Monday 2025 online sales on mobile57.5%Mobile checkout and app links decide peak-day revenueAdobe Analytics
Median push opt-in, Android (2025)53.3%About half of installs can be reached by pushAirship
Median push opt-in, iOS (2025)48.85%Ask for permission after value is shownAirship
Retail iOS opt-in, 10th percentile18.1%Weak permission prompts can cost most of your push reachAirship
Firebase Dynamic Links shutdown25 August 2025Old page.link campaign links now return 404Google Firebase

Want to compare your own retention to others? Try our retention benchmark checker and the break-even ROAS calculator.

CPI versus first-purchase CPA: which numbers to track

MetricWhat it tells youHow we use it
Cost per install (CPI)How cheaply a channel produces downloadsDiagnostic only; never the success measure
Install-to-first-order rateHow many installs become buyersCompares audiences and creative on quality
Cost per first purchaseWhat a paying customer really costsPrimary optimisation and reporting target
Repeat-order rate and time to second orderWhether first buyers returnSets how much we can pay to acquire
Contribution margin after discounts and returnsWhether growth makes moneyGate for scaling budget
Payback period by cohortWhen spend is earned backSets weekly pace of spend

Why is first-purchase CPA a better target than CPI for a shopping app?

Cost per install tells you what it cost to get an icon tap and a download. It says nothing about whether that person ever bought. In a shopping, food or marketplace app the business only starts when a first order is placed, so the number that matters is cost per first purchase (first-purchase CPA), and after that the margin on the first three orders. Two campaigns can show the same CPI and have completely different first-purchase CPAs, because one reached people who browse for fun and the other reached people with a basket in mind. We set the buying event as the optimisation goal as early as the volume allows, report CPI only as a diagnostic, and judge every channel on cost per first order, repeat-order rate and payback against contribution margin, not revenue. That keeps budget moving toward the audiences that actually check out.

The catch is signal volume. Ad platforms need enough purchase events to learn from. If your app records only a handful of orders a week, optimise for a shallower event first, such as add to cart or checkout start, then step up to purchase once volume allows. Google's own help page on target ROAS for App campaigns confirms that value-based bidding needs in-app events wired up before it can work, and that a higher ROAS target narrows the pool of installs, so set targets from what a comparable campaign already achieved, not from a wish.

How do deep linking and web-to-app work for a shopping app?

Deep linking sends a person who taps an ad, email or message straight to the right screen in your app, such as the exact product, basket or offer, instead of the home screen. Web-to-app is the same idea one step earlier: a shopper on your mobile website is invited into the app, and if the app is not installed the link takes them to the store and then, after install, to the same product (deferred deep linking). On iOS this relies on universal links and an associated domain. On Android it relies on verified App Links, which let matching URLs open the app directly with no chooser dialog. Done properly, nobody lands on a generic home screen after clicking an ad for a specific item. Done badly, you pay for the click, lose the intent, and the shopper leaves. We treat the link layer as part of the ad setup, not an engineering afterthought.

Check the plumbing before you scale spend. Android's App Links documentation explains that verified links need a Digital Asset Links file on your domain and fall back to the website when the app is missing. Also note that Firebase Dynamic Links stopped working on 25 August 2025, and Google's Firebase FAQ says links now return a 404, so any old campaign, email or QR code that used a page.link address is broken and should be replaced through a link provider or your own domain.

How do you re-engage and retarget lapsed shoppers?

Re-engagement means bringing back people who installed or bought once and then went quiet. There are two audiences and they need different treatment. Installed but never bought: they need a reason to place a first order, so use a first-order incentive that fits your margin, a reminder of what they browsed, or social proof on the product they viewed. Bought once and lapsed: they need a reason to reorder, which is often replenishment timing, a new arrival in a category they bought from, or a price drop on a saved item. We run this through retargeting ads (Meta and Google App campaigns for engagement) together with push, email and in-app messages, so a shopper is not hit with the same offer in four places at once. Every audience is built from first-party event data, suppressed the moment they purchase, and measured against a holdout group so we know the lift is real.

Holdouts are the part most teams skip. Without a group that does not see the campaign, retargeting takes credit for orders that would have happened anyway, especially for returning customers. We keep a small holdout on every always-on audience and report incremental orders, not attributed orders.

Channel fit for shopping, food and marketplace apps

ChannelBest forWatch out for
Meta (Facebook and Instagram)Finding new shoppers with product video and UGC; strong for retargetingCreative fatigue; needs a clean purchase event
Google App campaignsScale across Search, Play and YouTube; bids on in-app value with target ROASNeeds in-app event setup; less creative control
Apple AdsCapturing people already searching for your category or brandLimited volume; depends on listing quality
TikTokYounger shoppers, fashion, beauty, food discoveryNeeds native-feeling video; cost varies by market
Influencers and creatorsProduct demos, brand trust, D2C launchesHard to attribute without codes and links
Push, email and in-appRepeat orders, win-back, sale announcementsOnly reaches people who opted in

How should push notifications and CRM work in a shopping or delivery app?

Push and CRM are the cheapest way to turn a first order into a second, but only if the right people can receive them. Start with the permission. On iOS and Android 13 and later, the notification prompt is a choice the user makes, so ask after the shopper has seen value, such as after the first order or after they save an item, and explain in one line what they will get (order updates, price drops on saved items). Then build a small set of triggered flows before any broadcast: order confirmation and status, abandoned basket, back in stock, price drop, replenishment reminder and a win-back after a set number of quiet days. Use segments based on what people bought and when, not just who they are. Send fewer, more specific messages, give users control over categories, and measure orders per message sent, not open rate alone.

For context on permission, Airship's 2026 push benchmarks put the 2025 median opt-in at 53.3% on Android and 48.85% on iOS, and noted that retail has the lowest floor on iOS, at 18.1% for the 10th percentile. Roughly half of your installs can be reached by push at best, so email, in-app messages and WhatsApp or SMS where you have consent are not optional extras.

See our guide to app push notification strategy and the Retention & Lifecycle service for how we build these flows.

How do you plan for sale events and seasonality in a shopping app?

Sale events compress months of demand into days, and that changes both cost and conversion. Competitors raise bids, inventory runs out, and shoppers arrive already deciding. A good plan starts weeks before the event, not the week of it. Build audiences first: grow the pool of installed users and email or push subscribers who can be reached for free when the sale starts. Then lock the technical basics: deep links to the sale pages, a checkout that survives a traffic spike, and event tracking verified end to end. During the event, shift budget toward retargeting and existing customers, where intent is highest, and keep prospecting creative fresh. Afterwards, run a post-sale sequence to turn deal-driven buyers into repeat buyers and watch return rates, because discount-led first orders often repeat less than full-price ones. Plan one calendar for the year, not a scramble for each event.

The scale is real. Adobe Analytics reported that U.S. Cyber Week 2025 brought in $44.2 billion online, and that 57.5% of Cyber Monday online sales came through a mobile device. Food and grocery apps have their own peaks, around holidays, weather and weekends, and marketplaces see supply-side peaks too, such as sellers stocking up before a season.

What is different when you market a two-sided marketplace app?

A marketplace has two customers, and the app only works when both show up. Sellers, drivers, restaurants or service providers supply the inventory. Buyers create the demand. Growing one side without the other wastes money: ads that bring buyers to an empty catalogue produce a bad first order and a lost user, and ads that bring suppliers with no buyers produce churn on the supply side. So we run two funnels with their own events, targets and creative, and we pace them against each other, usually starting with supply in one tight area or category, then adding demand as the catalogue fills. We measure liquidity (does a search lead to a match and an order), time to first order, and repeat rate per side, alongside cost per acquired buyer and cost per activated supplier. Spend follows liquidity, not the other way round.

For the detail, read our marketplace app marketing page and the post on app marketing for marketplace apps.

How we grow shopping, food and marketplace apps by stage

Be found

ASO for product and category searches; SEO and AI search for brand and product pages that Google and AI assistants can cite.

Acquire

Paid acquisition against first-purchase CPA across Meta, Google, Apple Ads and TikTok.

Convert

Fast onboarding, guest checkout, saved baskets, and a store listing that matches the ad. Built with our app development team where the app needs changes.

Retain

Lifecycle: push, email, in-app, win-back, loyalty and reorder reminders.

All four sit under our Grow services.

What we see across 300+ apps

These are opinions from running campaigns since 2015 across 300+ apps and brands, not statistics.

Across our work we have driven 52M+ installs and managed $2.5M+ in ad spend.

Proof: a two-sided marketplace we grew

JFIT Connect is a two-sided fitness marketplace in Dubai that matches vetted professionals with customers who book sessions. After a previous agency left them with a report full of "N/A", we recovered their accounts, switched on install attribution for iOS and Android, built one dashboard from ad to activation, and ran Meta campaigns for both sides. We also ran a reactivation journey for professionals who had said yes but never went live. In 11 weeks, active professionals grew 3.7x, from 56 to 205. Read the full JFIT Connect case study.

Shopping, food and marketplace app marketing FAQ

How much does shopping app marketing cost?

There is no flat price. Cost depends on your ad budget, how many channels we run, how many creatives we produce each month, how much lifecycle work (push, email, in-app) you need, and how clean your tracking is today. Ad spend goes to the ad platforms, and our fee is separate. We scope it after a free App Growth Audit so you only pay for work your app needs.

Do I need an app, or is a mobile website enough?

If shoppers already return often, such as for groceries, food delivery or frequent fashion drops, an app usually pays back through repeat orders and push. If purchases are rare and high consideration, a strong mobile website may be better first. We look at your repeat-order data before recommending. If you need either, our app development and web teams can build it.

Which ad channel works best for a shopping or delivery app?

It depends on the stage. Meta is often a strong place to find new shoppers with video creative. Google App campaigns reach people across Search, Play and YouTube and optimise for in-app actions. Apple Ads captures people already searching the App Store. TikTok suits younger audiences. We start with the one or two that fit your product and test from there.

How do you measure success beyond installs?

We track cost per first purchase, install-to-order rate, repeat-order rate, average order value, contribution margin after discounts and returns, and payback time by channel and cohort. Installs and CPI are reported as diagnostics only. For marketplaces we add supply-side activation and match rate, so growth does not outrun inventory.

Can you work with our existing attribution and CRM tools?

Yes. We work with the common mobile measurement partners and customer engagement platforms, and we audit the setup before we spend. If purchase events, deep links or consent handling are broken, we fix those first, because bad data trains the ad platforms to buy the wrong users.

What does the free App Audit cover for a shopping app?

It reviews your store listing, your purchase and funnel event setup, deep link health, and the retention and lifecycle gaps we can see from outside. You get a prioritised list of what to fix first. It is free and there is no obligation to work with us afterwards.

Related reading and tools

Ready to Grow Orders, Not Just Installs?

Get a free App Growth Audit of your shopping, food or marketplace app, or talk to us about your first-purchase cost, deep links and lifecycle. We will tell you what to fix first.