Who is visiting my website? Almost every B2B marketer asks that question, but standard analytics only half answers it. You see sessions, pageviews and bounce rates — but not which company sits behind that visit, whether the visit was commercially relevant, or which campaign brought it in. CentreBlock combines company recognition, visit behaviour, impact scores and campaign effect in one model, without its own cookies and without sharing data with advertising platforms.
In short:
- Standard analytics shows movement, not commercial relevance - Company recognition via IP gives context, but is not proof of a lead - An impact score weighs visit behaviour based on measured interactions and sequence - Privacy-first design: no CentreBlock cookies, no data sharing - Campaign effect shows which channels bring in high-impact visits - The product path runs from overview via prioritisation to evidence and activation
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Why your dashboard does not show who is actually relevant
The world's most-used web analytics platform reports traffic data: how many sessions, which pages, how long. What it does not do is determine which visits have commercial relevance for your B2B organisation.
Say last month 3,400 sessions came in. How many of those were from companies that fit your ideal customer profile? How many viewed more than one page in a sequence that points to orientation? Traffic data does not answer those questions.
Make sure you distinguish activity from relevance. A high visitor count says nothing if the wrong companies come in or if the behaviour contains no commercial signal. That is exactly where standard analytics stops and an impact model begins. Look at your own analytics and count how many sessions from the past month you can actually link to a company or a commercially relevant behaviour pattern. That number is your starting point.
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Which companies visit your site and what they do there
Company recognition works via IP address lookup: based on an organisation's outbound IP address, the system recognises which company sits behind a visit. That way you know not only that someone was on your site, but also which organisation that visit came from.
Use that recognition as context, not as proof. A recognised company does not mean a specific person is interested or that there is buying intent. What it does offer: you can link visit behaviour — which pages, in which order, for how long — to a company name. That gives you a much richer picture than an anonymous session.
With company recognition, always look at the visit path. Did a recognised company only visit the homepage? Then the commercial meaning is limited. Did that same company visit the services page, a case study and the contact page in one session? Then there is reason to take that signal seriously. Make a short list of the five companies you would most like as customers and check whether they have been on your site in the past quarter — and if so, which pages they viewed.
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How CentreBlock assigns an impact score to each visit
The impact score is the core of what sets CentreBlock apart from mere visitor identification. Each website visit gets a score based on measured behaviour: which interactions took place, in which order, and how that pattern relates to commercially relevant behaviour signals.
Not every visit counts equally. A visit where someone stays three minutes on a product page, then views a whitepaper and then navigates to the contact page has a different impact score from a ten-second homepage visit. The score makes that distinction visible without you having to browse through hundreds of sessions yourself.
Use the impact score as a prioritisation signal, not as a guarantee. A high score points to meaningful visit behaviour — not automatically to buying intent or a direct lead. Company recognition and campaign context put the score in the right frame: which companies score high, and through which channel did they arrive? Request the Website Impact Analysis to see which visits on your site have the highest impact scores — and whether that matches the companies you want to reach commercially.
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Privacy without cookies or data sharing
CentreBlock does not place its own cookies and does not share customer data with advertising platforms or search engines. That is not a compliance tick after the fact, but a design principle built into the platform from the start.
What that means in practice: you get insight into visit behaviour and company recognition without having to track visitors via third-party cookies. The GDPR (General Data Protection Regulation) sets strict requirements on the use of personal data; CentreBlock measures at company level, not at individual person level.
Mind the boundary: privacy-first does not mean every privacy or GDPR question is automatically solved. Always discuss the specific setup with your own privacy or legal adviser. What CentreBlock offers is an architecture that gives insight without depending on consent-driven cookies. Check whether your current measurement setup depends on third-party cookies or consent banners for visitor data — and determine which part of your insight disappears if visitors refuse.
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Which campaigns bring in high-impact visits
Campaign effect links the impact scores of visits to the source, medium and campaign they came from. CentreBlock uses UTM parameters for that (tags you add to campaign URLs to track origin).
The result is a different kind of campaign analysis. Not: which campaign brought the most sessions? But: which campaign brought the most high-impact visits? Those are two very different questions. In analyses inside CentreBlock we regularly see that a LinkedIn campaign with less volume but higher impact scores weighs more commercially than a Google campaign with many clicks but shallow visit behaviour — visitors who view one page and leave without any further interaction.
Set up your campaign comparison around high-impact visits as the primary measure. Use volume and reach as context, not as the end goal. That way you invest budget in channels that demonstrably bring in the right companies — instead of channels that only generate movement. Pull up your most recent campaign overview and look at which campaign has the highest impact score per visit, not the most clicks. If you cannot make that distinction now, that is exactly the gap campaign effect fills.
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From impact overview to concrete prioritisation and evidence
CentreBlock's product path follows a fixed logic: overview, prioritisation, evidence, activation. You start with an impact overview that shows what changed versus the previous period. Then you prioritise via top-N lists and status groups which companies, pages or campaigns deserve attention.
Then click through to the evidence. Drill-downs show the visitors, visit paths and campaign context behind an aggregated signal. That way you check whether a high impact score holds up substantively before you put marketing or sales in motion.
Use the activation step as a follow-up, not as a starting point. Filtered detail tables can — where the setup and permissions allow — be exported for follow-up, segmentation or further analysis. The human decision always stays in the middle: CentreBlock supports prioritisation, but does not automatically prescribe a next step. Before you take the activation step, decide which threshold makes a signal action-worthy for your organisation — a high impact score from an unknown company asks for different follow-up than the same score from an existing prospect.
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The question of who visits my website deserves an answer that goes further than sessions and pageviews. CentreBlock makes visible which companies come, which behaviour shows commercial relevance, and which campaigns bring those visits in — through a privacy-first model without its own cookies. Request the Website Impact Analysis and see what sits behind your traffic data.
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Frequently asked questions
How does company recognition work without cookies?
Company recognition uses an organisation's outbound IP address to determine which company sits behind a visit. That requires no cookie or consent from the visitor. The result is context at company level, not identification of an individual.
What is the difference between traffic and impact?
Traffic counts sessions and pageviews. Impact weighs visit behaviour based on measured interactions and their sequence. A visit with many relevant behaviour signals has a higher impact score than a ten-second homepage visit, even though both count as one session in analytics.
May I use CentreBlock alongside Google Analytics?
Yes. CentreBlock is designed as a complement to existing analytics and measurement stacks, not as a replacement. Where Google Analytics reports traffic data, CentreBlock adds company recognition, impact scores and campaign effect as an analysis layer on top of that data.