Pharmatic Mindset
Visits to relevant materials, patient leaflets, product-use descriptions and pages that link to online pharmacies.
Pharmatic finds relevant audiences, manages media buying and measures performance at every stage of the path to purchase.
Technology stack by Genius Group ↗
Looking for information about how they feel
Exploring categories and products
Choosing a brand and a pharmacy
Returning to the category and brand
Pharmatic Mindset is the AI core that turns millions of raw signals into an understanding of the audience’s current interests and needs. It recognises interest in a category, condition or product, accounts for the recency of each signal and builds dynamic audiences from early symptom research through product selection and purchase.
Visits to relevant materials, patient leaflets, product-use descriptions and pages that link to online pharmacies.
Purchase readiness based on available data about medicine and category purchases.
About fiscal data ↗Additional audience and behavioural attributes supplied by telecom partners.
About telecom data ↗Signal streams Interest context Relevant segments
We build segments and buy display, video and native advertising across all device types, optimise delivery and assess campaign impact.
advertising campaigns
advertisers
demand monitoring parameters
users across available data sources
Brands that have
worked with Pharmatic













Pharmatic’s accumulated experience and the platform’s unique capabilities create new opportunities for effective pharmaceutical brand promotion. Audience availability and media parameters for a specific category, geography and campaign objective can be confirmed with the platform team.
Every segment has a profile. We show where its signals come from, which topics connect the audience and why it is relevant to your brand.
Sample selection logic for the antihistamines category.
Topics · sources · inclusion logicInterested in seasonal allergies and pollen.
Comparing available options in the category.
Looking for information about a brand or its alternatives.
Examples illustrate the selection principle. Audience composition, availability and size are confirmed against the brief. Interest in a topic does not confirm a diagnosis or purchase.
Start with interest in your product. Add audiences interested in competitor or related products, or disable layers to fit the campaign brief.
Audience composition diagram, not a reach estimate
Interest in the brand, patient leaflets and use. The segment core.
Add relevant layers to expand the audience. Geography and signal recency are configured separately.
Visits to product-use materials, patient leaflets and pages that link to online pharmacies form the interest signal. Actual purchases and buyer segments are determined from available fiscal data.
Category dynamics help select the placement period, set priorities and formulate campaign hypotheses.
Align periods of rising interest with the campaign calendar.
The 0–100 index shows interest relative to its historical peak. Share of search is not share of sales. Forecasts represent scenarios for changes in interest.
The AI agent tracks growth in condition-related interest by region and optimises geographic media buying in real time.
It reallocates spend towards regions where interest in the topic is rising.
Optimisation parameters are set for the category, geography and campaign objectives.
We launch campaigns in the core advertising formats, matching placements to the brand objective, audience and journey stage.
Communicate with audiences at selected stages of interest in the category and product.
Tell the brand and product story while measuring attention and viewing depth.
Deliver an advertising message in a format native to the selected media environment.
Video advertising on smart TVs and set-top boxes. Please contact the platform team to confirm targeting options and available inventory.
with partners, subject to data availability and an agreed measurement methodology
We report performance at every level: how the ad was delivered, whether it earned attention and what changed after contact with the brand.
Fraud control, content environment and visibility against MRC criteria.
Creative time in view, ATR — Attention Through Rate, and scroll deceleration.
Clicks, CTR and video completion show how the audience responds to the ad.
Post-click behaviour and conversions when landing-page analytics are connected.
We assess the campaign’s impact on awareness, perception and product consideration.
Discuss a studyWe assess offline advertising impact with a telecom operator using fiscal data.
How we measureThe metric set depends on the format and connected measurement solutions. Reporting and research are agreed before launch.
Using Pharmatic Mindset and telecom operator data, we create a detailed target audience profile before the advertising campaign begins.
The profile helps understand the audience, build creative and communication strategy, refine targeting and select communication channels.
Discuss audience profiling How audience profiling works ↗The profile informs communication and media-planning decisions before campaign launch.
We conduct Sales Lift studies with one of our telecom partners using fiscal data.
We assess the campaign’s impact on pharmacy purchases. Sales data reveal outcomes beyond clicks and site visits.
Discuss Sales Lift How Sales Lift works ↗Campaign measurement therefore continues beyond the website.
test group vs control group
Online pharmacies. Product-card click-throughs to online pharmacies are available. Real-time data on online purchases and the effectiveness of these referrals is not currently available in the platform.
Sales Lift. Methodology, data availability, timing and research costs are agreed before launch.
Tell us about the brand, category and objective. We will propose the segment logic, media scenario and a way to measure the result.