Measurement designed for what you are actually allowed to measure.
Pharmaceutical analytics and tracking built around consent restrictions and the presence of restricted areas from the start, rather than a standard analytics setup retrofitted to comply after the fact.
Standard analytics implementations assume broad consent and no restricted content. Pharma sites often have neither: consent rates are lower in a category people are cautious about, and professional areas add a dimension — verified role — that generic analytics tools do not model.
An analytics architecture respecting consent from implementation, tracking that distinguishes public from professional-area behaviour, dashboards built around what is actually measurable, and honest reporting on the gaps.
Tracking is implemented to respect consent choices rather than work around them, and when a measurement question cannot be answered given those constraints, we say so plainly instead of approximating an answer that looks cleaner than it is.
The scope behind our pharmaceutical analytics and tracking work.
The measurement question differs by what the site does. Pharmaceutical analytics and tracking starts there.
What comes up when building measurement for a regulated site.
Lower consent rates are typical for health-related sites compared with general e-commerce or media, because visitors are more cautious about sharing behavioural data tied to a health topic. That gap is expected rather than a sign of a broken banner or bad implementation, and a pharma analytics setup should be built assuming it from the start.
Yes, and portal tracking is usually more reliable than public-site tracking because the user is authenticated rather than anonymous. It still has to respect whatever consent was captured at login or registration, and we build it as its own tracking model rather than simply extending the public-site setup into a logged-in area.
We implement the technical tracking to match whatever consent framework your legal counsel and data protection officer have defined. The legal basis and the banner’s actual wording are decisions that sit with them, not with us — our part starts once that framework exists and needs building into the tracking layer.
No pharma analytics setup delivers complete data, and one that claims otherwise is either overstating what it provides or under-respecting the consent visitors have given. The realistic goal is the best possible picture within what visitors have agreed to share, which is still enough to guide most marketing decisions.
Analytics work underpins conversion optimisation and CRM automation. These are the related services.
A dashboard nobody trusts, or no measurement plan at all. Tell us what you need to answer and we will tell you how we would approach the pharmaceutical analytics and tracking.