Connected TV advertising buyer personas explained for English planners

What to take away

A connected TV advertising buyer persona is a written profile of one household type you want to reach, built from evidence about how that household chooses what to watch and what to buy. It is not a fictional character.

Where the evidence comes from

Official viewing data and why England differs

Ofcom's Media Nations report is the annual starting point for viewing behaviour, and its Communications Market Report adds the deeper detail on take-up, platform use and time spent watching. Both break results down below UK level, and Barb's viewing panel reports audiences by region, so a planner can see where England differs from Scotland, Wales and Northern Ireland. A persona built on national averages alone can mislead a localised buy.

The same logic applies to regulation. The Online Safety Act 2023 sets duties for online services that carry advertising, and platforms have adjusted their operations as a result. Persona work should note where a platform's rules affect what inventory you can actually buy.

Panel data and survey research

Panels fill the gaps that published reports leave. Barb measures what households actually watch through its UK viewing panel, while Kantar, Ipsos and YouGov run the survey and audience panels that capture what a household says it watches, what it pays for, and which adverts it remembers. That self-reported detail is where persona writing becomes specific rather than generic.

If you are running your own fieldwork, our guide Connected TV advertising survey tools in England covers the practical choices, from panel providers to in-platform questionnaires. Pair survey answers with viewing logs so you can check what people claim against what they do.

Building the personas

Segmenting households rather than individuals

Connected TV is watched by groups, so segment on the household first. Useful splits include subscription mix, number of streaming services, device type and whether the household watches live television at all. A household paying for three services behaves differently from one on a single free tier.

Decision roles come next. One person pays the subscription, another chooses the programme, and a third may influence a purchase the advert prompts. Personas that name only one role miss how streaming ads actually work in a shared living room.

Turning segments into usable profiles

Each profile should state the household type, the viewing routine, the buying triggers and the evidence behind every claim. Keep it to one page. If a persona cannot be summarised on a single page, it is probably two personas.

A worked example

Take a household of two adults and two school-age children in a commuter town, paying for one subscription tier and watching the rest on a free ad-funded service. The routine is a shared evening slot: the children on catch-up earlier, the adults on streaming drama after bedtime. The buying triggers are the weekly groceries, a family car and a holiday, and it is the parents, not the children, who act on those adverts. The evidence behind the profile is Barb viewing data for the region plus a short survey of similar households.

Nielsen's media planning tools are widely used to size audiences and plan reach against profiles like these. They do not replace your own research, but they help you check whether a persona is large enough to justify a separate campaign.

Testing and using the personas

Matching personas to campaign goals

A persona is only useful if it changes a decision. Map each one to a goal: reach, frequency, or a specific action such as a sign-up. Then choose inventory and creative that fit that goal.

Broad brand campaigns often work with two or three broad personas. Narrow performance campaigns need tighter definitions and clearer exclusions. Write the exclusions down, because knowing who you are not targeting is as useful as knowing who you are.

Thinkbox's summary of how TV generates business growth is useful when you need to justify the channel to stakeholders who still question whether television advertising works at all. It supports the case for the channel, not the detail of any individual persona.

Checking assumptions before you spend

Run a small test before a full buy. Compare response rates between two personas, or between a persona-targeted buy and a broad one. Agree the test budget with the client up front, as a fixed share of the planned campaign spend, so the test is a deliberate cost of learning rather than a scaled-down version of the full campaign. Even a modest test tells you more than another round of desk research.

Review the personas every six months. Subscription prices move, platforms merge, and viewing habits shift. A persona written two years ago may now describe a household that barely exists. Our wider Connected TV advertising audience research guide sets out how persona work fits into a full research programme.

Common questions

How many buyer personas do I need for a connected TV campaign?

Three or four is a practical working number for most English campaigns. Fewer than three usually hides meaningful differences between households. More than five makes targeting and measurement harder without adding much insight.

Can I build personas from published data alone?

Published reports give you the shape of the market, but not the buying triggers. You will still need some primary research, even if it is only a short survey or a handful of interviews, to make the profiles specific enough to act on.

Do personas change by region within England?

They can. Barb reports viewing by region, and Ofcom's Media Nations report splits viewing below UK level, so the planner can see that viewing habits, broadband quality and platform availability vary across the country. A persona that fits a large city may not fit a rural county. Where a campaign is regional, check the local data before reusing a national profile.

How often should personas be refreshed?

Every six to twelve months is reasonable. Refresh sooner if a major platform changes its ad model, if subscription prices move sharply, or if your own campaign data contradicts what the persona predicted.