Pharmaceutical DTC Media Strategy: Building the Channel Mix

Media plans for DTC brands often get built backwards. Someone starts from last year's split, adjusts for a CPM increase, and adds a new channel because a competitor is in it. A better approach starts from the patient: who you need to move, what you need them to do, and where they are when they are ready to do it. This article is part of the series that begins with the DTC pharma marketing guide.

Start the DTC media strategy from the job, not the channel

Every channel in a DTC plan should have a job you can state in a sentence. Four jobs cover most plans:

1. Reach: make the condition or brand known among the people who have it.
2. Consideration: give enough information that a patient decides to ask about it.
3. Capture: be present when someone is actively searching or researching.
4. Action: move them to a specific step (doctor discussion guide, savings card, telehealth visit, hub enrollment).

Which job matters most depends on the brand. A launch in a large, well-known condition is a reach problem. A mature brand losing share is often a consideration problem among current patients on a competitor. A rare condition is almost always a capture and action problem, since paying for broad reach wastes most of the money.

What each channel usually does

Search deserves a special note. It is usually the most efficient channel per action, and also the channel most likely to take credit for demand other channels created. Do not starve the upper channels because search looks cheap in last-click reports. The rules for search are in pharmaceutical PPC and paid search.

How condition size changes the mix

The single biggest input is how many people have the condition and how easy they are to find.

• Large conditions (common chronic diseases): video reach does most of the work. Linear and CTV together often take the largest share.
• Mid-size conditions: CTV with household targeting, online video, social, and contextual programmatic carry more weight. Linear may be limited to specific dayparts or networks.
• Small or rare conditions: search, endemic publishers, patient community partnerships, and contextual programmatic dominate. TV rarely makes sense unless the brand also has a large adjacent audience.

For brands where the audience size itself is uncertain, plan reach against a range rather than a point estimate, as discussed in DTC reach and frequency when the addressable audience is uncertain.

An illustrative channel split

The table below is hypothetical. It shows how the same total budget of $20 million might be split for two different brands. The point is the logic, not the numbers.

The launch brand is buying awareness, so video reach takes 63 percent. The mature brand needs to win patients who already know the category, so search, social, and CTV targeting get more. Both keep a test budget. Allocation mechanics are covered further in how to allocate a pharma programmatic budget.

Where programmatic fits

Programmatic is a buying method more than a channel, and it touches CTV, online video, display, audio, and DOOH. In DTC it usually extends reach beyond TV, carries contextual health placements, and sequences messages after video exposure. The details, including what retargeting can and cannot do under privacy rules, are in DTC programmatic for pharma.

What usually goes wrong with DTC channel mixes

• Linear and CTV are planned by different teams, so the same households get hit 20 times and others not at all.
• Search is credited with everything and the upper funnel gets cut, then search volume falls a quarter later.
• New channels are added without a test design, so nobody can tell if they worked.
• The plan is locked for the year and never rebalanced when outcome data arrives.

Practical takeaway

Write one sentence per channel in your current plan stating its job and the metric that would tell you it is doing that job. Any channel you cannot describe in one sentence is a candidate to cut or to move into the test budget with a proper holdout.

Editorial note. Analysis and frameworks are the author's own and do not represent Acxiom or any current or former employer, client, or named platform. Examples labeled hypothetical or illustrative are not results from real campaigns. Nothing here is legal, regulatory, or medical advice.