We find relevant audiences, develop a media buying strategy, run your campaign and measure its results.
Assess current interest in categories, conditions and products.
Choose audiences, locations, formats and contact frequency.
Launch placements and optimise media buying.
Assess media quality and the impact on your brand and sales.
advertising campaigns
in Pharmatic’s track record
advertisers
we have worked with
parameters for
monitoring demand
users covered by
available data sources
Experience with pharmaceutical brands
We use our experience in pharmaceutical campaigns to plan promotion for your brand. Data-source coverage and the reach of a specific campaign are calculated separately.
In the dashboard, select a product, add competitors and related products, then review interest trends and search-query data. The comparison helps reveal the brand’s position and define the advertising task.
Interest in your product, competitors and a condition provides different grounds for audience selection. The media brief defines composition, geography, timing and formats. The volume available for advertising is checked while preparing the campaign.
Each metric answers a different question and has a distinct place in the media brief.
Where interest is moving and when its pace changes relative to the selected observation history.
The absolute number of search queries during the stated period.
How the brand looks within the selected competitor set by share of queries.
A possible change scenario to account for. A forecast does not guarantee results.
The potential user pool. Available volume and unique reach are calculated for a specific campaign.
Pharmatic Mindset analyses available interest signals: topic-specific articles, product leaflets, usage descriptions and pages linking to online pharmacies. It considers the connection to a category and the time since each signal. The team uses this information to build audiences for different stages of consideration.
Our own traffic and external sources: topic-specific articles, product leaflets and product pages.
Data from fiscal data operators (OFD) reflects completed purchases within the available sample. It helps identify buyers of a brand, competitors and related categories.
Data from telecom partners can enrich an audience profile and help match ad exposure with purchases. The sources used depend on the project.
From separate signals
to the logic of audience selection.
Interest before choosing a product
Comparing possible solutions
Product interest and purchase signals
AI agents use external signals in real time to optimize buying, adjusting CPM weights and regional budgets within the agreed strategy.
Geo indices, weather and pollen supplement the category context. Sources and optimization conditions are agreed before launch.
We specify sources, topics of interest, selection criteria, signal recency and geography. Examples for allergy, gastrointestinal conditions, respiratory infections and weight management illustrate the approach. The names, composition and volume of available segments are confirmed against your brief.Audience strategy
Seasonal interest in allergies, pollinosis and antihistamines
Reference materials about symptoms, treatment, seasonality and product leaflets.
Runny nose, congestion, itching and watery eyes.
Articles about allergy and ways to manage symptoms.
Leaflets, usage information and antihistamine product pages.
Passport parameters checked on 12 October 2026. Available campaign reach, signal lifetime and contact frequency are confirmed against the brief. Interest in a topic does not confirm a diagnosis or purchase.
Start with your product. Add groups interested in competitors or related categories if they fit the campaign objective. Geography and signal recency are set separately. The composition diagram shows the logic of selection; it should not be read as a sum of unique users.
Layers can be broadened or narrowed for products. This setting does not apply to condition-based segments.
Your product, competitors and related products
Composition diagram. Circle areas do not represent reach or overlap between users.
We consider interest trends, regions, segment parameters and placement conditions. Settings and result metrics are agreed before launch. During the campaign, we review available data and adjust media buying. Automatic optimisation capabilities depend on the selected scenario.
Placement types, interactive mechanics and tracking are confirmed against the brief and available inventory.
We select a format for your objective and can develop or adapt materials when needed. Creative development is available as an additional service.
Genius CreativeVideo on smart TVs and set-top boxes through partner inventory. Targeting applies to the household, not an identified viewer.
Where matching is available through Stable ID and a telecom partner, communication can continue from web to TV or from TV to mobile. The actual viewer is unknown; settings and inventory are confirmed before launch.
Mindset segments are used on the web. InApp and CTV are planned through a separate partner; available settings and inventory are confirmed before launch.
Seven dimensions, from contact quality to changes in interest, brand metrics and purchase behaviour. Measurement scope is agreed before launch.
Invalid traffic · context · MRC viewability
Check where ads appeared and whether the contact was available to view.
Time on screen · ATR · scrolling
Assess the attention a creative received. The ATR calculation is agreed before launch.
Clicks · CTR · video completions
Compare responses to formats and creatives to inform placement decisions.
Post-click · target actions
With connected analytics, examine what users do after visiting the website.
Compare interest before, during and after the campaign, accounting for seasonality.
DetailsStudies are planned separately: methodology, data sufficiency, timing and cost are agreed before the campaign.
Brand Lift evaluates changes in brand awareness and perception. Questions and study metrics are defined for the campaign objective.
Brand Lift methodCompare purchases among exposed and control groups. Sales Lift is conducted with a telecom operator using available fiscal-data (OFD) records.
Sales Lift methodologyCompare the interest index and query volume before, during and after the campaign. Account for seasonality and category events: this adds context, but does not by itself prove a sales uplift.
Measuring changes in interestObjectives, KPIs, comparison periods and available sources. Agreed before launch to keep reporting relevant to the brand.
Contact quality, attention, response and post-click in agreed breakdowns. Explain which conclusions the data supports.
What to keep or change in audiences, formats, frequency and creatives. Include findings from commissioned studies separately.
Communication when an audience is exploring a category and choosing a product.
Purchases in the available sample are assessed through a separate Sales Lift study.
Link to product pages. Product-page clicks are measured separately from purchases.
Real-time online purchase data and conversion results are not yet available in the platform.
higher purchase conversion
test group vs control group
In the published case, purchase conversion in the test group was 34% higher than in the control group. Delivered by Genius Desk, the project is part of the Pharmatic portfolio.
An individual campaign result. A new measurement plan is developed for each brand.
Pharmatic Mindset and telecom-partner data help describe a selected group. Comparing interests, geography and available attributes helps develop hypotheses for creatives, messages and channels. The profile describes the group as a whole.
The profile describes the group as a whole. Specific attributes depend on available data.
We are preparing reports on pharmaceutical category interest: seasonal patterns and the role of signal recency in audience planning.
View the programme and request a publication notification. Results and methodology will follow data verification.
Research programme