Retail CX: What’s Mobile Testing Got to Do with it?

A lot, actually.

Retail executives have had a rough go the past few years. The industry went from post-recession apocalypse to being expected to deliver perfect digital app experiences, from store to app and everywhere in between. Retailers that can quickly release high-quality retail apps and digital technologies are creating seriously awesome shopping experiences—which consumers say they’d spend 16 percent more to have.

Consumers will spend 16 percent more on average to get a great digital experience.

Digital morphed an entire industry

While we are in a great place with digital and retail CX now, this didn’t happen without casualties.

In 2008, the sight of  “For Lease” signs on empty retail spaces everywhere gave us all chills. Was it the second Great Depression? How could Starbucks go out of business? Following sharp economic collapse in the housing market (and resulting viral job loss), in-store sales came to a screeching halt. Digital transformation was gobbling up brick-and-mortar stores like something out of The Walking Dead.

Fortunately, “The Retail Apocalypse” didn’t destroy the retail industry forever. The brands that rebounded did it by fusing digital and in-store into one experience and that fusion has only deepened since. Online commerce now accounts for a steadily growing share of total retail sales, mobile accounts for the majority of that online traffic, and the store itself runs on mobile software: associate tablets, handheld scanners, mobile point of sale. The dividing line between “digital” and “in-store” retail has effectively disappeared, and the app in the shopper’s hand is where the two meet.

Digital didn’t kill the retail industry; it just put an alligator-filled moat in the way. Retailers that saw the big picture and evolved their mobile testing strategy to embrace digital as a CX advantage are now poised to release mobile retail apps with supersonic efficiency. And kick ass at it.

The other retail apps: in-store mobile and the omnichannel handoff

Shoppers don’t experience your consumer app in isolation. They experience it alongside the associate’s tablet, the mPOS terminal, the handheld that told the associate the item was in stock, and the system that promised their online order would be at the counter by noon. Every one of those is mobile software, and every one of them is part of the customer experience whether or not the shopper ever touches it.

That means retail mobile testing has three surfaces, not one:

• Shopper-facing apps — the consumer app and mobile web, covered in the sections above.
• Associate-facing apps — clienteling, inventory lookup, endless-aisle ordering and mobile point of sale. These usually run on a narrow set of devices (often tablets or ruggedised Android handhelds) under worse conditions than consumer apps: shared logins, intermittent store Wi-Fi, all-day battery drain, and barcode scanners or payment sleds attached over Bluetooth.
• The handoffs between them — buy online, pick up in store; reserve in app, try in store; return in store what you bought online. These are where the most visible CX failures happen, because they depend on three or four systems agreeing with each other in real time.

For associate apps, test on the exact hardware the stores use, with the peripherals attached. A checkout that works perfectly on a flagship phone and fails when the card reader reconnects after sleep is a failed checkout. For handoffs, test the whole chain end to end on real devices at both ends: place the order in the consumer app, confirm it appears correctly on the associate device, complete the pickup, and verify stock and order status update everywhere. If any link in that chain is only tested in isolation, the gap between the links is where the shopper gets stranded.

Where retail CX actually breaks on mobile

“Customer experience” sounds like a design problem. On mobile, it’s mostly a defect problem. The moments shoppers remember — and the ones they screenshot into one-star reviews — are a short list of flows that fail in predictable ways on specific devices. Test those flows on the devices your shoppers actually carry, and most of the CX conversation takes care of itself.

Here are the moments that matter most, what tends to go wrong, and what your mobile testing has to prove before release.

CX moment	What breaks in the real world	What mobile testing has to prove
Search and browse	Slow product grids on mid-range Android; images that never load on a weak connection; filters that reset on rotation	Catalog screens render and scroll smoothly on your top traffic devices, including the lowest-spec one, under throttled network conditions
Add to cart and cart edits	Quantity changes that don’t persist; cart totals that lag behind what the shopper sees	Cart state survives backgrounding, OS interruptions (calls, notifications) and app relaunch; totals recalculate correctly
Promo codes and loyalty	The promised discount isn’t applied; points balance doesn’t update; stacked offers calculate wrong	Every active promotion applies correctly across OS versions, and loyalty balances match between app and backend
Checkout and payment	Apple Pay or Google Pay sheet fails to appear; keyboard covers the CVV field; 3-D Secure redirect loses the session	Each supported payment method completes on real devices with real wallet integrations, on both Wi-Fi and cellular
Buy online, pick up in store	Order confirmed in app but never reaches the store system; pickup barcode won’t scan from a dimmed screen	The handoff between app, inventory and store systems completes end to end, and the pickup screen renders scannable on real hardware
Order tracking and returns	Push notification deep-links to the wrong screen; return flow dead-ends on older OS versions	Deep links and notifications resolve correctly on every supported OS version; the return flow completes without a support call

Notice that none of these is a question of taste. Each one is a pass/fail check you can run on a real device before the build ships — and each one, when it fails, is the kind of thing that makes a shopper abandon the app on first use.

App testing platforms matter

Why did their mobile testing strategy work when others failed so miserably? They invested in mobile app testing platforms, which greatly streamline QA activities to meet increasing competitive threats and consumer demands for rich digital shopping experiences.

So if it’s as easy as purchasing a mobile testing solution, what’s holding everyone back from digital domination? It’s because not all app testing tools are equal. In fact, many actually suck. But organizations do not understand the differences and, therefore, pay big prices for big-name legacy test clouds – unaware of their hidden costs or shortcomings.

To be fair to the teams that got stuck: the obstacles are real, and most of them aren’t about picking the wrong vendor.

• Release cadence outruns the test cycle. When the business expects weekly or daily app updates, a regression suite that takes three days to run on a shared device lab becomes the bottleneck everyone routes around.
• Device fragmentation never stops. Every OS release and every new flagship changes the matrix, and an in-house lab of a dozen phones is out of date within a quarter.
• Retail apps are integration-heavy. Payment gateways, loyalty services, inventory systems, and wallet providers all sit outside your codebase, and each one can break a flow that passed last week without a single line of your code changing.
• Test data is messy. Realistic promotions, loyalty balances, inventory states and customer profiles are hard to set up and easy to corrupt, so a large share of “test failures” turn out to be data problems.
• Automation is brittle on mobile. Scripts that depend on UI element locators break on every redesign, and the time spent repairing them is time not spent extending coverage.

None of those is solved by buying a device cloud and nothing else. They’re solved by a platform that gives you real devices on demand, keeps your scripts working when the UI changes, and lets manual and automated results live in one place so the whole team can see what broke and where. That’s the bar to hold any testing platform to — including ours.

Very few app testing platforms are flexible enough to support the complex needs of today’s mobile tester. The result is a big, stinky bottleneck in the testing phase of development because of the difficult dilemma which digital puts on QA:

“Do I test quickly or do I test thoroughly? I can’t do both.”

Well, too bad; honey badger don’t care. Consumers expect both! Top brands are releasing retail apps and updates hourly. At the same time, the cost of incomplete testing is material. Twenty-four percent of users abandon apps on the first use due to bugs and UI issues, which accounts for 88 percent of customer acquisition costs.

Flexible, streamlined app testing platforms such as Kobiton solve this dilemma and help retailers to test better, faster, smarter:

• Eliminate costly QA bottlenecks
• Extend test coverage to resolve bugs earlier
• Centralize/share test data across local, private and public cloud devices
• Reduce TCO; pay only for what’s needed
• Improve CX / increase sales
• Get started quickly with open source standards
  

Retailers Must Balance BOTH Speed AND Certainty:
• 53 percent of organizations release apps and updates daily
• 23 percent of organizations say that QA is the bottleneck
• 24 percent of users abandon an app on first use due to poor UI
• This accounts for 88 percent of customer acquisition costs

Peak season is a mobile problem, not just a server problem

Load testing your backend before Black Friday is table stakes. What retailers get caught by is the other half: the app itself, running on a phone with 8% battery, on a congested store Wi-Fi network that drops to cellular halfway through checkout. Your servers can be fine and your conversion rate can still fall off a cliff.

Before any seasonal event, run a dedicated pass on real devices that covers:

• Throttled and switching networks. Complete the full purchase flow on a simulated 3G connection, then again while switching from Wi-Fi to cellular mid-checkout. The session, cart and payment state should all survive.
• Low-resource devices. Run the same flows on your lowest-spec supported Android device with low memory and low battery. Watch for background kills that empty the cart and for image-heavy screens that stall.
• Timeouts and retries. Confirm what the shopper sees when a payment call takes too long. A spinner that never resolves is a lost sale; a clear retry with the cart intact is a saved one.
• Promotion logic under volume. Seasonal promos are new code shipped under the most traffic you’ll see all year. Validate every live offer, including stacking rules and expiry, on real devices before the campaign goes live.
• A production smoke test on day one. Once the event starts, run a short automated check of search, add-to-cart and checkout against production every hour. Finding a broken flow at 9 a.m. instead of from reviews at 5 p.m. is the whole point.

This is also the strongest argument for testing on real devices rather than emulators. An emulator can’t drain its battery, lose a cellular signal or get interrupted by a phone call. The conditions that break retail apps at peak are exactly the ones simulators don’t reproduce.

What “thorough” means for a retail app

Thorough doesn’t mean testing everything. It means covering the handful of test types that protect the moments above, on the devices that matter, every time a build goes out. For a retail app, that list looks like this.

Test type	What it protects in retail	When to run it
Functional	Cart math, promotions, payment flows, order state — the logic shoppers trust you with	Every build, automated on real devices
Visual	Product images, pricing badges, buttons that overlap or clip on different screen sizes and OS versions	Every build; diff against a baseline so layout regressions surface before a human sees them
Performance	Launch time, scroll smoothness, checkout latency, and behaviour under peak traffic	Every release candidate, plus a dedicated run before any seasonal event
Network and device conditions	How the app behaves on a weak signal, mid-session network switch, low battery, or low memory	Release candidates; exploratory sessions on real devices with throttled connections
End-to-end and integration	Order-to-store handoff, inventory sync, payment gateway and loyalty service integrations	Release candidates and whenever a backend or third-party dependency changes
Accessibility	Screen-reader labels on product cards, colour contrast on sale prices, touch target size at checkout	Every release; automated checks on each build, manual audit each quarter
Security	Payment data handling, session management, secure storage on the device	Each release and after any auth or payment change

Two of these deserve a special mention for retail. Visual testing catches the bugs that never throw an error — a “Buy now” button pushed below the fold on one screen size, a sale price rendered in the wrong colour — and those are exactly the bugs that make an app feel broken even when every function passes. And accessibility isn’t a compliance checkbox: shoppers who rely on assistive technology are customers, and an inaccessible checkout is a lost sale on every device it fails on.

The speed problem from the previous section is solved here, not by cutting test types, but by automating the ones that run on every build (functional, visual, accessibility checks) and reserving human time for the ones that benefit from judgment (network conditions, exploratory usability).

Retail uses Kobiton for CX excellence

Top brands including a large national supplier of business products and services use Kobiton to stay ahead of retail trends and dominate CX… Retail’s holy grail; the “Land of Promise.” These customers are tired of inflexible legacy testing clouds that overcharge and do not allow them to test the way they need to test.

Real devices only help if they’re the right real devices. You can’t cover every phone, and you shouldn’t try. For a retail app, a defensible device list comes from four inputs:

• Your own analytics, not market share. Pull device model, OS version and screen size from your production app analytics, weighted by revenue rather than sessions. The devices your buyers use are what matter; the devices your browsers use come second.
• The bottom of your supported range. Include the lowest-spec Android device you still support. Performance and memory issues surface there first, and it’s where a laggy product grid turns into an uninstall.
• OS version spread. Cover the current major version of iOS and Android, the previous one, and the oldest version with meaningful revenue share. Retail apps often have a long tail of shoppers on older phones who are also loyal, high-frequency buyers.
• The in-store hardware. If store associates run your app on tablets or ruggedised handhelds, those devices belong on the list too — they rarely show up in consumer analytics and they break in their own ways.

Re-cut the list every quarter and after every major OS release. The device that drove 12 percent of your revenue last holiday season may be a rounding error by the next one.

With Kobiton, they can get the most streamlined access to real mobile devices (no emulators or simulators) – whether those devices are in our public cloud, in a tester’s hands, or somewhere in between. Having one comprehensive view of all testing activity allows retail enterprises with multiple locations to release powerful retail apps and technologies, such as analytics and voice-assisted smart speakers, which are growing nearly two-and-a-half times faster than smartphones!

653% vs 286%
Growth rate for smart speakers vs. smartphones

How to tell whether your testing is improving CX

Testing is only a CX strategy if you can see it move the numbers shoppers feel. Track these five, and expect them to move within a release or two of tightening real-device coverage:

• Crash-free sessions by device and OS version — the fastest signal that device-specific bugs are escaping, and the first place a new OS release shows up.
• Checkout completion rate on mobile, split by payment method — the metric that converts a payment-sheet bug into a revenue figure.
• App store rating and the share of one-star reviews that mention a bug, a crash or a broken feature — the review text is your free defect report.
• Time from bug report to verified fix on the reporting device — shrinks sharply once the team can reproduce on the same real device the shopper used.
• Regression cycle time — how long it takes to clear a release candidate. This is the number that decides whether “test quickly or test thoroughly” stays a dilemma or stops being one.

So you see, mobile testing has everything to do with retail CX. Feeling like your mobile app testing platform can’t get CX-centric apps and technologies out fast enough? Do you need a more cost-effective way to…

• Learn about evolving shopper behaviors and desires?
• Create highly personalized multi-channel experiences?
• Deploy emerging and “sexy” technologies first?
• Increase sales?

Frequently asked questions

How does mobile testing improve retail customer experience?

Most of what shoppers experience as “bad CX” on mobile — a cart that empties, a promo code that doesn’t apply, a payment sheet that never appears — is a defect that only shows up on certain devices, OS versions or network conditions. Mobile testing on real devices finds those defects before shoppers do. The CX improvement is the absence of the moments that drive abandonment and one-star reviews.

What should a retailer test before peak season?

The full purchase flow on real devices under degraded conditions: throttled and switching networks, low battery, low memory, and the lowest-spec device you support. Validate every live promotion and its stacking rules, confirm timeouts and retries keep the cart intact, and set up an hourly automated smoke test of search, add-to-cart and checkout against production for the duration of the event.

Do retail apps really need real devices rather than emulators?

For retail, yes. The conditions that break shopping flows — a dropped cellular signal mid-checkout, a background kill on a low-memory phone, a Bluetooth card reader that reconnects after sleep, a wallet integration that only works on real hardware — are exactly the conditions emulators and simulators don’t reproduce. Emulators are fine for early development; release decisions need real devices.

How often should a retail mobile app be tested?

Functional, visual and accessibility checks should run automatically on every build. Performance, network-condition and end-to-end integration tests belong on every release candidate, with a dedicated real-device pass before any seasonal event and after every major iOS or Android release. The goal is for the regression cycle to be shorter than the release cycle, so testing never becomes the reason a fix waits.

Which devices should a retail app be tested on?

The ones your buyers use, weighted by revenue rather than sessions, from your own analytics. Add the lowest-spec device you still support, the current and previous major OS versions, and any tablets or handhelds your store associates use. Re-cut the list quarterly and after every major OS release.