Pharmaceutical advertising targeting determines which group receives a message and how that group is selected. Pharmatic considers subject matter, signal recency, available purchases and permitted partner characteristics. Regional search indices, current search activity, weather and pollen conditions add context for segmentation and buying. Interest in a health topic does not establish a diagnosis or guarantee a purchase.
How it works
- 01Define an audience hypothesis
- 02Select signals and recency
- 03Build and validate a segment
- 04Activate and measure
One segment, several distinct signals
Go beyond broad interests
A generic health audience combines different needs. Separate early exploration, product comparison, brand interest and prior purchase.
Use distinct signal layers
Pharmatic Mindset interprets context; fiscal data can describe category purchases; telecom partner data may add permitted attributes. Audience sizes from separate sources cannot be added together to obtain unique reach.
Activate and validate
Document inclusion rules, recency, geography and expected scale. Confirm buying availability, frequency and measurement before launch.
Segments for different decision stages
Early category explorers, active comparers and repeat buyers need different messages. Their role in the campaign is set before activation and checked against segment scale and outcomes.
A segment passport
The segment passport connects the brand objective with selection rules: sources, interest topics, inclusion and exclusion criteria, recency, geography and available size. For travellers or parents with children, explain how the life situation relates to the message; group membership alone does not imply product interest. Record the segment role, contact frequency and outcome metric so the hypothesis can be checked later.
What to specify before activation
Manage overlap and fatigue
Before buying, check which groups may overlap, which message takes priority and how overall contact frequency is limited. Category, brand and competitor interest may belong to the same person, so summed segment sizes do not give unique reach. If scale is insufficient, revise a specific inclusion criterion or recency window and reassess relevance. Broadening to everyone interested in health changes the original hypothesis.
Connect audience to outcome
Each segment has a specific expected action and measurement plan. Audience Portrait clarifies barriers, Demand Intelligence informs time and region, and Sales Lift can test purchase impact when feasible.
Category versus brand interest
Category interest helps reach people who are studying a topic but have not yet chosen a product. Brand interest may reflect familiarity with a product or a first search to understand its name, calling for information about instructions, differences, usage or availability. For competitor audiences, the task is to give an approved reason to consider an alternative. Separate these groups by message and KPI in the media plan.
Recency and observed purchase
A recent thematic-page visit and a purchase several months ago have different value. Set the recency window by category cycle rather than one standard period for every product. Purchase data confirm an action within the available source but do not explain why a person chose the product. Compare purchase and contextual segments with the campaign objective, then evaluate them during placement.
Targeting signals and limitations
| Signal | Use | Limit |
|---|---|---|
| Subject matter and recency | The group explores a category or medicine | A content view does not establish a diagnosis. |
| Interests and thematic groups | Help find relevant audiences by lifestyle and life situation, such as travellers, parents with children and other groups. | Membership in a group does not imply interest in a specific medicine. |
| Available receipt purchases | Experience buying a brand, competitor or category | Coverage does not represent all market purchases. |
| Telecom characteristics | Additional group description and matching | Available characteristics depend on the partner. |
| Regional indices and current queries | Differences in regional search activity | A query is not a unique user. |
| Weather and pollen | Conditions relevant to category and buying | Sources and selection settings are checked for the project. |
Preliminary audiences and segment passports
Select medicines and conditions separately in the media brief; the sizes of the corresponding audiences are estimated using different methods. Preliminary estimates do not confirm exact group overlap or unique reach. The homepage has example segment passports with actual input parameters; composition and available scale are checked against the placement brief. Segment passport examples
Limitations
The profile describes available interests and behaviour at group level. It does not reveal any individual’s health status. Availability depends on partner data and lawful use.
Questions
How is this different from a broad health-interest target?
A segment is built for the brand objective using topic meaning, recency, decision stage, geography and available purchase signals. Its composition is documented before launch.
Can competitor buyers be identified?
Yes, where permitted anonymised purchase data and sufficient scale exist. Brands, purchase window and matching rules are agreed in the brief.
How long does someone stay in a segment?
It depends on category and objective. A one-off content signal may expire quickly; a purchase history can be useful longer. The window is set and reviewed in the segment passport.
Can Mindset, fiscal and telecom data be combined?
Yes, where permitted matching is available and each layer improves the objective. We check overlap and incremental value rather than adding database sizes.
How do we know the audience works?
Agree on a segment KPI before launch, then review media response and, where the study design allows it, purchase impact through Sales Lift.