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Case Study Transforming User Experience Through Progressive Web Apps (PWAs)
Blogs/Case Study: PWAs in User Experience

Case Study Transforming User Experience Through Progressive Web Apps (PWAs)

February 5, 2026
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Table of Contents

  1. 1. How We Cut Load Time
  2. 2. The problem
  3. 3. Why a progressive web app
  4. 4. What we built
  5. 5. The results
  6. 6. What we would do differently
  7. 7. When a PWA is the right choice
  8. 8. Thinking about a progressive
  9. 9. Frequently asked questions

A [DATA SLOT: client description] came to us with a problem they could already see in their own dashboard. Most of their traffic arrived on a phone, and most of it left again before the page had finished loading. The mobile site worked perfectly well, and it was simply too slow to be worth waiting for.
We rebuilt the mobile user experience as a progressive web app, and load time dropped from [DATA SLOT] to [DATA SLOT] while mobile conversion rose by [DATA SLOT].
This PWA case study is the whole story of that project, including the part that did not go according to plan. If you are weighing a PWA against a native app or another responsive rebuild, the decision we walk through here is probably close to the one in front of you.
Results at a glance

Metric Before

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  • Belgium+32
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  • Benin+229
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  • Bolivia+591
  • Bosnia and Herzegovina+387
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  • British Indian Ocean Territory+246
  • Brunei+673
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  • Burkina Faso+226
  • Burundi+257
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  • Cameroon+237
  • Canada+1
  • Cape Verde+238
  • Caribbean Netherlands+599
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  • Central African Republic+236
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  • Chile+56
  • China+86
  • Colombia+57
  • Comoros+269
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  • Dominican Republic+1
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  • El Salvador+503
  • Equatorial Guinea+240
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  • Estonia+372
  • Ethiopia+251
  • Faroe Islands+298
  • Fiji+679
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  • France+33
  • French Guiana+594
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  • Niger+227
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  • Oman+968
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  • Palau+680
  • Palestine+970
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  • Tunisia+216
  • Turkey+90
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After
How we measured it
Mobile load time [DATA SLOT] [DATA SLOT] [DATA SLOT: tool, connection, device]
Largest Contentful Paint [DATA SLOT] [DATA SLOT] [DATA SLOT]
Bounce rate [DATA SLOT] [DATA SLOT] [DATA SLOT: analytics, date range]
Mobile conversion rate [DATA SLOT] [DATA SLOT] [DATA SLOT: analytics, date range]
Repeat visits [DATA SLOT] [DATA SLOT] [DATA SLOT]

The problem was mobile performance, and it was costing the business real orders. The desktop user experience was perfectly acceptable. On a phone, on an average connection, the page took long enough that a considerable share of visitors gave up before they saw anything at all.

What the business was seeing

Nobody on the client's team was reading a performance report; they were seeing the symptoms.
[DATA SLOT: the real symptoms. Typical examples: carts abandoned at a much higher rate on mobile than desktop, support messages about the site "not working", a mobile channel that carried most of the traffic and almost none of the revenue.]
That gap is the usual shape of this problem. Mobile brings the visitors and desktop closes the sales, and everyone assumes the difference is buyer behaviour when quite often it is page speed.

What the numbers showed

We started by measuring, because a rebuild without a baseline has no way of proving that it worked.
[DATA SLOT: the baseline measurements. Load time, Core Web Vitals, bounce rate and mobile conversion rate, with the tool, the connection profile and the date range for each.]
One thing is worth saying about the baseline. Lab numbers from a testing tool and field data from real visitors are different claims, and we recorded both, so the table in the results section says which is which.

What they had already tried

This was not the client's first attempt at fixing it.
[DATA SLOT: the real history. Common versions: images compressed, a caching plugin added, a theme swapped, a native app scoped and shelved when the quote arrived.]
Each of those attempts helped a little, and none of them changed the outcome. The bottleneck was not any single asset but the shape of the site itself, which is the point at which a progressive web app becomes worth discussing.

Why a progressive web app, and not a native app

The decision came down to reach rather than to the technology being fashionable. This client needed the next visitor to have a fast experience immediately, on the link they had just tapped, and a native app cannot do that because it asks for an installation first.

What a PWA actually is

A PWA is a website built to behave like an application: it loads from an ordinary URL, so there is no download and no app store.
It can be added to the home screen, where it opens full screen with its own icon. It also caches its own shell and data, so it continues working on a weak signal or no signal at all. And it is one codebase served to every device, rather than a web build plus an iOS build plus an Android build.
Nothing about that is exotic: a PWA is a normal web application with a service worker, a web app manifest and a serious caching strategy.

The options we weighed

Three routes were on the table.
[DATA SLOT: the real comparison, in the client's terms. What each option would have cost them in months, in team capacity and in reach.]
A native app would have given the deepest device integration and the worst reach, because every new visitor would have to install it before they saw anything. A straight responsive rebuild would have been the cheapest option, and it would not have fixed repeat visits or poor connections. The PWA sat between them.
If you are making this call yourself, our guide to choosing the right web development framework walks through the same trade-off without the project specifics.

Why the PWA won for this business

[DATA SLOT: the specific reason this client chose it.]
The general version of the argument is short: their audience arrived from search and social, tapped once, and judged the business in roughly three seconds. Offline access mattered because a real share of their traffic came from connections that dropped, and one team maintaining one codebase was the difference between shipping in months and shipping in a year.
For context, several large consumer businesses have published PWA results of their own, and Trivago, Flipkart and Tinder are the examples people cite most often, with their figures collected in the PWA Stats database now hosted at progressier.com. [DATA SLOT: if you quote any of those figures, follow the entry back to the original case study first and cite that source, because aggregated numbers drift as they get copied.]

What we built

The web app development work was deliberately narrow. We rebuilt the customer-facing mobile user experience as an installable progressive web app, kept the existing back office untouched, and connected the two across a single API. Replacing everything at once would have doubled the risk for no additional benefit.

The stack and the shape of it

[DATA SLOT: the real stack. Framework, rendering approach, hosting, CDN, and how the service worker and caching strategy were configured. Name only what was actually used.]
The shape matters more than the brand names. We served an app shell that loads from cache almost instantly, then filled it with fresh content. Static assets were cached aggressively and versioned, and content was cached with a stale-while-revalidate strategy, so a returning visitor sees something immediately and the fresh copy arrives a moment later.
Everything runs over HTTPS, which a service worker requires anyway. That is the floor rather than the ceiling, and our notes on securing the applications customers touch cover what else belongs on a transactional build.

The user experience decisions

Four changes did most of the work for the person holding the phone.

The shell arrives first.

Header, navigation and layout render from cache before any network request completes. The screen stops being blank, which is most of what people actually mean by "fast".

It works with no signal.

Previously viewed pages and the cart remain available offline, so a dropped connection no longer loses the visit.

The install prompt waits.

We show it after a second visit rather than on arrival, because asking a stranger to install something is how you lose them.

Some things were left out. [DATA SLOT:

what you deliberately did not build in phase one.] Every feature added to a first release delays the date on which the results start.
The layout itself still has to hold up on every screen size, and the principles in our piece on why responsive design matters applied here exactly as they would to any web app development project.

Timeline and team

[DATA SLOT: how long the project took, how many people worked on it, and what the phases were.]
One detail is worth keeping when you fill that in: the date the first measurable improvement reached real users, because clients remember that date rather than the launch date.

The results

The mobile user experience got faster, fewer people left before it loaded, and more of the ones who stayed bought something. Here is the full picture, with the method beside each number.

Metric Before After Measured with Over what period
Mobile load time [DATA SLOT] [DATA SLOT] [DATA SLOT] [DATA SLOT]
Largest Contentful Paint [DATA SLOT] [DATA SLOT] [DATA SLOT] [DATA SLOT]
Interaction to Next Paint [DATA SLOT] [DATA SLOT] [DATA SLOT] [DATA SLOT]
Cumulative Layout Shift [DATA SLOT] [DATA SLOT] [DATA SLOT] [DATA SLOT]
Bounce rate [DATA SLOT] [DATA SLOT] [DATA SLOT] [DATA SLOT]
Mobile conversion rate [DATA SLOT] [DATA SLOT] [DATA SLOT] [DATA SLOT]

Performance

[DATA SLOT: the performance figures and what drove each one.]
Most of the load time improvement came from the app shell and the caching strategy rather than from shaving bytes off images. Once the shell renders from cache, the first paint stops waiting on the network entirely. Core Web Vitals followed, since the metrics Google measures are mostly measuring that same wait.

User experience and engagement

[DATA SLOT: bounce rate, session length, repeat visit rate and home screen installs.]
The installation figure is usually the one that surprises people. Only a minority of visitors ever add a PWA to the home screen, and the ones who do come back considerably more often, which is the point of offering it at all.

Business outcomes

[DATA SLOT: conversion rate, and revenue or support load if those are publishable.]
We are not publishing a project cost or a revenue figure the client has not cleared, and what we can say is which part of the funnel moved. [DATA SLOT: the specific step that improved.]

How we measured it

This is the part most PWA case studies leave out, so it is worth being exact.
Lab figures came from Lighthouse on a throttled connection and a mid-range device profile, run on the same pages before and after. Field figures came from real visitor data over [DATA SLOT: the period], compared against the same period length before launch. Conversion and bounce rate came from the client's own analytics, on mobile sessions only.
Seasonality matters here, and pretending otherwise would be dishonest. [DATA SLOT: note how you controlled for it — for example, comparing like-for-like weeks or the same months year on year.]

_Curious where your own mobile numbers sit? Send us your site and we will measure load time, Core Web Vitals and mobile bounce rate, and tell you what is actually costing you orders. It takes us a few days and costs you nothing.
_

What we would do differently

Two things on this project did not go the way we planned.

[DATA SLOT: the first honest item.] This is the section that decides whether a reader believes the rest of the page, so it needs a real one. Useful shapes: a caching rule that served stale prices until we caught it, an install prompt that annoyed people until we moved it, a phase that ran weeks over because the API was slower than expected, a feature we built and later removed because nobody used it.

[DATA SLOT: the second item, if there is one.]

What we changed as a result: [DATA SLOT: what you do differently now on every PWA build because of this.]
We include this for a straightforward reason: anyone comparing agencies has read a dozen case studies in which nothing went wrong and believed none of them, because a project with no setbacks is a project somebody edited.
The useful version of this section is not an apology; it is evidence that we measure closely enough to notice problems and are willing to say so out loud.

_We will tell you if a PWA is the wrong answer. Not every business needs one, and the section below explains exactly when it does not, so if your situation is one of those we would rather say so in the first conversation than six weeks into a build.
_

When a PWA is the right choice, and when it is not

A progressive web app is the right choice when reach matters more than deep device access, and the wrong choice when the reverse is true. That single sentence settles most of these decisions.

Four situations where a PWA fits

Most of your traffic is mobile, on connections you cannot control. Caching and offline access turn a weak signal from a lost visit into a slower one.

Your audience will not install an app. For anything people use weekly rather than daily, the install screen is where most of them stop, and a PWA skips it while still offering the home screen icon to the people who want it.

You have one team, not three. One codebase for web, Android and iOS is the difference between shipping and maintaining a backlog.

You sell content or commerce, not device features. Catalogues, booking, media, dashboards and checkout are all well served by the web platform today.

That last point keeps expanding, which is worth watching if you are planning more than a year ahead, and our round-up of where web development is heading covers what is arriving next.

Three where it does not

You need deep device integration. Bluetooth accessories, advanced camera control, health data and tight platform hooks are all examples. The gap has narrowed, but it has not closed, so a native app remains the right call here.

You need heavy background processing. Anything that must run reliably while the application is closed still belongs in a native build.

Your buyers judge you by your app store listing. In some markets a business without an app listing looks unserious. That is a perception problem rather than a technical one, and a PWA does not solve it.

If you land in the second list, a PWA is not a compromise worth making. Commission the native build, or build neither and fix the website properly.

Thinking about a progressive web app for your business?

What made this project work was not the technology; it was measuring first, building the smallest thing that would move those numbers, and then measuring again in exactly the same way.
We would start yours the same way, and a first conversation covers three things:

  • Your current mobile numbers. Load time, Core Web Vitals and mobile conversion rate, measured rather than guessed.
  • Whether a PWA actually fits. Against the seven situations above, and if it does not, we will say so.
  • What a first phase would look like. Scope, sequence and the date on which you would see the first measurable change.
    No obligation and no pitch deck. If your mobile user experience is losing you orders, you will know which part of it after one conversation.
    Talk to our web development team

Frequently asked questions

What is a progressive web app?

A progressive web app is a website built to work like an application. It opens from an ordinary URL with no download, can be added to the home screen, and keeps working offline through a service worker that caches its own files and data. One codebase serves every device.

Do PWAs really improve conversion rates?

Often, although not because of the technology itself. A PWA usually improves conversion by removing the wait that was losing visitors, so the size of the gain depends on how slow the site was beforehand. If your mobile load time is already good, expect a smaller change.

How long does it take to build a PWA?

[DATA SLOT: this project's real timeline, stated plainly.] In general, PWA work is faster than a ground-up web app development project, because converting an existing site reuses much of your current front end. How much can be reused is the honest answer, and we scope that in the first week, before quoting anything.

Is a PWA cheaper than a native app?

Usually, for one reason: one codebase instead of three. You build and maintain a single application for web, Android and iOS rather than three separate ones. The saving shows up mostly in maintenance, which is where the long-term cost of a native build actually sits.

Can a PWA work offline?

Yes, within limits. A service worker caches the app shell and the content a visitor has already seen, so those pages open with no connection, but anything needing live data still needs a signal. Offline access keeps the visit alive; it does not replace the network.

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