Pharmatic Mindset
Visits to topical materials, product leaflets, usage descriptions, and pages with links to online pharmacies.
Pharmatic is an advertising platform for pharma manufacturers. We find the relevant audience, manage media buying, and measure results at every stage of the path to purchase.
Technology stack by Genius Group ↗
They look up information about how they feel
They research categories and drugs
They choose a brand and a pharmacy
They return to the category and brand
Pharmatic Mindset is the AI core that turns millions of raw signals into an understanding of current audience interests and needs. It recognises interest in a category, disease, or drug, weighs the freshness of each signal, and builds dynamic audiences — from first signs of symptom interest to drug choice and purchase.
Visits to topical materials, product leaflets, usage descriptions, and pages with links to online pharmacies.
Purchase readiness based on available data on drug and category purchases.
More about OFD ↗Additional audience and behavioural attributes from telecom partners.
More about the data ↗Signal arrays Interest context Relevant segments
We select segments, buy banners, video, and native ads across device types, optimise placements, and assess campaign impact.
ad campaigns
advertisers
demand-monitoring parameters
users in available data sources
With Pharmatic
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Pharmatic’s accumulated experience and the platform’s unique capabilities open new opportunities for effective pharma brand promotion. Audience availability and placement parameters for a specific category, geography, and campaign goal can be confirmed with platform representatives.
Every segment has a passport. We show where signals come from, which topics unite the audience, and why it is relevant to your brand.
Example selection logic for the antihistamine category.
Topics · sources · inclusion logicThey explore seasonal allergy and pollen seasons.
They compare available options in the category.
They look up the brand or its analogues.
Examples illustrate the selection principle. Audience composition, availability, and size are refined against the brief. Interest in a topic does not confirm a diagnosis or a purchase.
Start with interest in your drug. Add competitor and related-drug audiences — or turn layers off to fit the campaign brief.
Audience composition diagram, not a reach estimate
Interest in the brand, leaflets, and usage. The segment core.
Add relevant layers to expand the audience. Geography and signal freshness are set separately.
Visits to usage materials, leaflets, and pages with links to online pharmacies shape product interest. Actual purchases and buyer segments are derived from available fiscal receipt (OFD) data.
Category dynamics help choose the placement window, set priorities, and form campaign hypotheses.
Align periods of rising interest with the advertising calendar.
The 0–100 index shows interest relative to its historical peak. Share of search is not share of sales. The forecast reflects a scenario of how interest may change.
The AI agent tracks rising disease interest by region and optimizes media buying by geography in real time.
Reallocates spend toward regions where topic interest is rising.
Optimization parameters are set for the category, geography, and campaign goals.
We run campaigns in major ad formats. Placements are chosen for the brand goal, audience, and journey stage.
Audience communication at selected stages of interest in the category and drug.
Brand and product storytelling with attention and view-depth measurement.
An ad message in a format native to the chosen publisher.
Video ads on smart TVs and set-top boxes. Targeting options and available inventory — confirm with platform representatives.
with partners when data and methodology are available
We report results at every level: how the impression performed, whether the ad was noticed, and what changed after brand contact.
Fraud control, content adjacency, and viewability to MRC standards.
Time on screen, ATR — Attention Through Rate, scroll slowdown.
Clicks, CTR, and video completions show how the audience responds to the ad.
Post-click behaviour and conversions when landing-page analytics are connected.
We research campaign impact on brand awareness, perception, and purchase intent.
Discuss the researchWe estimate offline ad effect with a telecom operator using fiscal receipt (OFD) data.
How we measureThe metric set depends on the format and connected measurements. Reporting and research scope are agreed before launch.
Based on Pharmatic Mindset and telecom operator data, we build a detailed target-audience portrait before the campaign launches.
We help you understand the audience more deeply, develop creative and communication strategy, refine targeting, and choose communication channels.
Discuss an audience portrait How we build an audience portrait ↗The portrait helps decide on communication and the media plan before the campaign starts.
We run Sales Lift together with a telecom operator using fiscal receipt (OFD) data.
We assess how the campaign influenced pharmacy purchases. Sales data helps you see results beyond clicks and visits.
Discuss Sales Lift How Sales Lift works ↗So campaign measurement continues beyond the website.
test group vs control
Online pharmacies. We can drive traffic to product pages. Real-time data on online purchases and the performance of those visits is not yet available in the platform.
Sales Lift. Methodology, data availability, timing, and research cost are agreed before launch.
Tell us about the brand, category, and goal. We’ll propose segment logic, a placement scenario, and a way to measure results.