Measure an industrial website on whether the right buyer can find, evaluate and progress, using four layers: visibility for the applications you want to be specified into, engagement with product and technical content, enquiry quality, and commercial feedback from sales.
Session counts are a weak measure in a market where a hundred visits can be the right hundred and one enquiry can be worth a multi-year supply relationship. Low consent rates and long specification cycles also mean the analytics picture will be partial by design, so build a reporting model that produces decisions rather than a monthly dashboard that goes unread.
Define the jobs the site does: helping an engineer find a product by application, giving access to technical evidence, taking a sample or quotation request, qualifying a project enquiry, supporting distributors, or attracting technical recruits. Each job has its own measure.
Metrics chosen before the jobs are defined tend to describe activity rather than progress, which is how organisations end up reporting bounce rate on a datasheet page where a quick download is the successful outcome.
Track ranking and impression share for the applications, materials and product families you want to be specified into, rather than aggregate keyword counts. Segment by market and language, since a site can be strengthening in one country while losing ground in another.
Watch index coverage of the catalogue as a health metric in its own right. On industrial sites, a drop in indexed product pages is often the earliest visible sign of a technical regression.
Datasheet and certificate downloads, CAD file requests, product comparison use, filter and product-finder interactions, and depth of movement through the catalogue all indicate a buyer doing real evaluation work. These are the strongest mid-funnel signals an industrial site produces.
Interpret them in context. A download is evidence of research rather than of sales readiness, and treating every download as a lead distorts both the reporting and the follow-up.
Record whether enquiries arrive with enough context for an engineer to respond without a discovery call: application, quantity, specification, timeline and market. Track the proportion that convert to a technical conversation and the proportion that were never a fit.
Ten well-formed enquiries a month is a better outcome than fifty that need qualifying, and the form design and the content preceding it are what move that ratio.
Analytics can show a route was used; only the sales and technical teams can say whether the conversations improved. Ask quarterly whether buyers arrive better informed, which questions still come up that the site should have answered, and which pages they send to prospects.
That last question is a reliable indicator of which content is doing commercial work, and it frequently identifies pages that analytics ranks as unremarkable.
Consent rates, long buying cycles and enquiries that arrive by phone or at a trade fair mean attribution will always be incomplete. Server-side signals such as page requests, document downloads and Core Web Vitals, plus authenticated portal activity, provide useful measurement that does not depend on consent.
Each reporting cycle should end in a decision: improve a product route, clarify an application page, fix a technical constraint or retire content. Our analytics and tracking page covers how the measurement layer is built.
Across four layers: visibility for the applications and product families that matter commercially, engagement with product and technical content, the quality of enquiries received, and direct feedback from sales and technical teams. Define what each key journey is for before selecting metrics, otherwise the reporting describes activity rather than buyer progress.
Index coverage of the catalogue, visibility for application and specification queries, datasheet and CAD downloads, product-finder use, the proportion of enquiries arriving with a usable specification, and assisted opportunities in the CRM. Sessions and bounce rate say little in a market where a short visit to a datasheet is a successful outcome.
Count them as evaluation signals rather than as sales-ready leads. A datasheet download indicates real research and frequently precedes an enquiry by months. Treating every download as a conversion distorts both reporting and follow-up, and it encourages gating documents behind forms, which usually reduces the research a buyer is willing to do on your site.
Server-side signals that do not depend on consent still provide useful measurement: page requests, document downloads, Core Web Vitals and search console impression data. Authenticated portal activity can be measured reliably where users have an account relationship. These complement consent-aware analytics rather than replacing it, and they keep trend reporting usable.
No, and a setup promising it either overstates what it delivers or under-respects consent. Industrial buying involves long cycles, several people, offline conversations and trade-fair contact that no analytics tool observes. The workable goal is the best picture available within what visitors agreed to share, read alongside what the commercial team reports.
Monthly for technical health signals such as index coverage, performance and form delivery, and quarterly for the commercial read, since specification cycles are too long for monthly conversion data to mean much. Each cycle should conclude with a decision and an owner rather than a distributed dashboard that prompts no action.
Tell us what you need to know and we will set out what is measurable and what is not.