Programmatic for automotive: driving showroom visits with omnichannel media
You can link digital media exposure directly to dealership showroom visits, but only if you plan media around the in-market buyer, run every channel as one connected omnichannel campaign, and measure all the way through to footfall.
Foot traffic is the hardest outcome in the funnel to influence with digital media, and the hardest to prove. For automotive brands in Australia, the showroom visit is the moment that matters. Yet most media plans still optimise to clicks and video views that never connect to it. The opportunity is to close that loop: plan media around the in-market buyer, run it as one connected omnichannel campaign, and measure all the way through to footfall.
This playbook walks through the approach we use on The Trade Desk to turn an automotive media budget into measurable showroom visits, and shares results from one anonymised Australian campaign where it worked.
Why automotive needs an omnichannel approach
Car buyers don’t research in one place. A single shopper might discover a model on connected TV, hear an audio spot on a commute, compare specs on mobile, then walk into a dealership two weeks later. When each of those channels is bought and measured in isolation, you over-pay for reach, double-serve the same person, and lose the thread between exposure and action.
An omnichannel strategy treats streaming, audio, display, native and digital out-of-home as one buy against one audience, with a single view of frequency across devices. That shift, from channel performance to audience performance, is what makes the showroom visit measurable.
Step 1: Build the audience on first-party data
Strong automotive targeting starts with the brand’s own data. Historical owner and enquiry records can be onboarded into a privacy-conscious identity framework such as Unified ID 2.0, then used as a seed to model dynamic lookalikes of in-market intenders. In the campaign referenced here, roughly 40,000 historical customer records formed the seed, enough to build lookalikes that consistently outperformed broad demographic buys.
The principle: don’t target a 25-54 age bracket and hope. Target people who behave like your actual buyers.
Step 2: Plan to behaviour, not demographics
Demographics describe who someone is; behaviour describes how they consume media. Segmenting the audience by media behaviour lets you sequence channels in the order each persona actually uses them. Two behavioural personas did most of the work in the campaign we’re drawing on:
- The social-first buyer: mobile-heavy, high exposure to out-of-home, reached early through short-form video and OOH.
- The long-form viewer: connected TV, podcasts and long-form digital, reached through BVOD and audio.
Same model, same offer, two different channel paths to the showroom.
Step 3: Run it as one connected campaign
Once the audience is built, activate it across every channel through a single demand-side platform so frequency and messaging stay consistent across devices. A cross-device graph keeps the campaign from treating one buyer’s phone, laptop and TV as three separate people. Frequency capping protects the experience. The goal is enough exposure to move consideration, not so much that you erode it.
Step 4: Measure through to the showroom
This is where the loop closes. Footfall measurement (for example, through a location-data partner) links exposed audiences to physical dealership visits, against a control group that didn’t see the campaign. Conversion-path analysis then shows which channel sequences led to visits most efficiently, and budget is reallocated in-flight toward those paths rather than waiting for a post-campaign report.
What the results looked like
In the anonymised Australian automotive campaign this playbook is based on, within six weeks of launch:
| Outcome | Result vs control |
|---|---|
| Dealership showroom visits (exposed audience) | +22% |
| Cost per visit | −31% |
| Time to visit | −38% |
| Incremental reach, under-35 audience (via CTV + mobile video) | +47% |
| Brand consideration, 18-34 | +84% |
A standout insight from the conversion-path analysis: when audio and display appeared together in a buyer’s journey, average time to conversion dropped by around 45%. That’s the kind of finding you can only act on when channels are measured as one system, and it’s why in-flight reallocation matters more than a tidy end-of-campaign deck.
How to apply this to your own plan
- Onboard your first-party customer data into an identity framework and build lookalikes from it.
- Define two or three behavioural personas and map the channels each one actually uses.
- Activate across CTV, audio, display, native and DOOH through a single platform with cross-device frequency control.
- Set footfall or another real-world outcome as the primary KPI. Not clicks.
- Review conversion paths weekly and move budget toward the sequences that drive visits.
Done well, this turns a media budget into a repeatable growth engine: a smaller spend, planned around real buyers and measured to real outcomes, that consistently outperforms broad reach.
Related reading
Frequently asked questions
What is omnichannel programmatic advertising for automotive?
It’s a way of buying digital media: connected TV, audio, display, native and digital out-of-home, bought as a single connected campaign against one audience rather than as separate channel buys. For automotive brands it allows media exposure to be linked to real-world outcomes like dealership showroom visits.
Can programmatic advertising actually drive showroom visits?
Yes. Using footfall measurement that compares exposed audiences against a control group, programmatic campaigns can be tied directly to physical dealership visits. In one anonymised Australian campaign, showroom visits among the exposed audience rose 22% while cost per visit fell 31%.
How do you target car buyers without relying on cookies?
By onboarding a brand’s first-party data (such as historical owner records) into a privacy-conscious identity framework like Unified ID 2.0, then building lookalike audiences of in-market intenders. This typically outperforms broad demographic targeting.
Why use behavioural personas instead of age and gender?
Demographics describe who a buyer is; behaviour describes how they consume media. Segmenting by behaviour lets you sequence channels in the order each persona actually uses them, which improves efficiency and shortens time to conversion.