Industrial website performance
Fast, reliable industrial platforms

Industrial website performance
for dense technical catalogues

Speed matters when a buyer is working through dense technical content across markets, devices and networks.

We improve industrial website performance by addressing the page templates, assets, data queries, hosting and publishing decisions behind a slow experience. The goal is durable speed on the pages that carry commercial weight, product listings, specification pages, filtered catalogue results and document libraries, rather than a synthetic score achieved on an empty landing page.

Scope
What is included

Performance work that addresses the platform, not only the symptom

Measure the journeys that carry commercial value

Industrial website performance is measured where the buying work happens: the catalogue and product routes, filtered and parametric search results, document-heavy specification pages, key country templates and the enquiry journeys that follow them. Those templates behave very differently from a homepage, and on most industrial sites they are also the slowest and the least tested. Measuring each one separately shows whether images, third-party scripts, ERP or PIM calls, cache behaviour or the underlying build is causing the problem worth solving.

Make performance part of the release process

New campaigns, embedded tools, trade-show landing pages and everyday publishing choices steadily undo a one-off optimisation. We set performance budgets per template, define rules for how components load, and put monitoring with regression alerting in place, so the platform stays responsive as the catalogue, the document library and the number of language versions grow. That turns performance into a property of the release process rather than a project that has to be repeated every two years.

Optimised for what the score stands for

We work on the underlying experience a performance score is a proxy for, and report both the field measurements and the lab figures so you can see the real gain alongside the headline number. Field data from your own visitors matters more here than a clean test, because industrial buyers often reach the site from constrained networks, older corporate hardware and locked-down browsers that a synthetic test never reproduces.

case studies

Clients who trust us

Industrial and technical B2B companies we build and maintain platforms for.
Industrial B2B digital platforms

A decade of digital work
for industrial and technical B2B

Code Industrial is the industrial B2B practice of Code Barcelona, an agency building corporate websites and digital platforms since 2015. The same strategy, design and engineering team works on every industrial project, from the first scoping session through to life after launch.

19
industrial sectors we serve
1.550
technical documents migrated in one project, permissions and URLs intact
+10
years of digital delivery for industrial B2B
Performance by segment
Who needs it

Where an industrial site
loses its seconds

The bottleneck is specific to the content and the architecture. Industrial website performance starts from what the site is heavy with: catalogues, media, documents, third-party scripts, integrations or uneven templates.

Performance process
Four stages

How we approach industrial
website performance

Four stages. In industrial website performance work, guessing at the cause is what wastes the budget.

DIAGNOSIS
01
01

Measuring before changing anything

We establish where the time goes, on the templates that matter rather than only on the homepage, and on real user data rather than lab tests alone.

What we measure

We measure server response time broken down by template, since a fast homepage can mask a product listing that is not. Database query cost is profiled directly, third-party scripts are measured for their real impact rather than assumed harmless, media weight is audited page by page, and we pull field data from real visitors as well as lab tests, because working conditions rarely match a clean test environment.

Result

You get a ranked list of what is slow and why, and the largest cost is often something unexpected, such as an unindexed filter query rather than the image sizes everyone assumed were to blame.

DATA AND QUERIES
02
02

Fixing the expensive part first

On these platforms the largest gains are almost always in the data layer: how the catalogue is stored, how filters query it, and how the document archive is indexed.

What we work on

We optimise and index the queries the diagnosis flagged as expensive, and where the underlying data model is the bottleneck rather than a missing index, we change the structure instead of patching around it. Expensive aggregations, such as filter counts across a large catalogue or availability calculated per market, are precomputed rather than recalculated on every request.

Result

Catalogue filtering and search can become the slowest parts of an industrial platform. Improving the data model, the queries and the delivery path helps those journeys respond reliably as the catalogue grows.

CACHING AND DELIVERY
03
03

Caching that respects restricted content

Caching a site with distributor logins and market-specific availability is where naive configurations leak content between users. The strategy has to account for that from the start.

What we implement

We implement cache layers appropriate to each content type rather than one blanket setting, with explicit handling for authenticated pages and content that varies by market, so caching never serves a restricted or region-specific page to the wrong visitor. Static assets go through edge delivery, and media is converted to modern formats at the size it is displayed, rather than a full-resolution original being resized in the browser.

Result

The site gets the benefit of aggressive caching without the risk that usually accompanies it, because restricted and market-specific pages were deliberately excluded from the general rules.

VERIFICATION
04
04

Confirming it held

Performance regresses over time. We verify the result on real traffic and put in place the measurement that catches the next regression.

What we check

We re-measure field data from real visitors after the change and compare each template directly against its original baseline, rather than relying on a single lab score. Ongoing monitoring with regression alerting is put in place afterwards, so a future content edit, plugin or embedded tool that slows the site down is flagged rather than discovered months later.

Result

You get a documented before-and-after per template, plus the monitoring that catches it if performance starts drifting back in the wrong direction.

Industrial website performance FAQ

Questions that come up when an industrial platform is too slow for buyers, editors or connected systems.

Why is industrial website performance often poor?

The usual causes stack up over time: large media libraries added without a format policy, inconsistent templates built by different teams, third-party scripts inherited from group IT, unoptimised routes to data sheets and manuals, synchronous calls to an ERP or PIM on page load, hosting sized for a smaller site, and functionality left in place long after the campaign it served ended. The diagnosis has to come before the fix.

Can performance be improved without a full rebuild?

Often, yes. An audit identifies the changes with material impact, and on most industrial sites the largest of those sit in the data layer, the caching strategy and media delivery, all of which can be done in place. Where the information architecture or the content model is the real constraint, we will say so directly and set out what a redesign or a rebuild would involve rather than spending the budget on tuning around it.

Is caching safe with a distributor portal?

Only when it is configured for it. Blanket full-page caching on a site with customer-specific pricing or restricted documents is how one login is served another login’s page. Cache rules have to be defined per content type, with authenticated pages, market-varying availability and personalised pricing handled explicitly, and the behaviour tested per role before the configuration is trusted in production.

How long does the work usually take to show results?

Diagnosis is typically a short engagement, and the first meaningful improvements often land within the same cycle, since media, caching and a small number of expensive queries account for much of the loss. Data-model changes take longer because they touch the catalogue structure and need testing against the integrations that feed it. Field data needs a few weeks of real traffic before the before-and-after comparison is worth reading.

Related industrial web development capabilities

Other industrial
web development capabilities

Performance work often follows a migration or precedes a redesign. These are the services it connects to.

Industrial performance projects

Make important journeys
faster and more reliable

Tell us which pages, markets or workflows are struggling. We will identify the industrial website performance work with the clearest business value.

contact us
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about your project

Tell us about your organization's context and the planned scope of the project.
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