Classic audience description through socio-demographic parameters is still the basis of media planning: brands keep building campaigns around the familiar "portrait" of the target audience. Yet the real structure of demand has long been wider and more complex. In 360 communications this approach increasingly limits growth instead of driving it. Alexander Tarasenko, CEO of Method Media, explains why one audience portrait is no longer enough for media planning and how the logic of working with demand is changing.
The socio-demographic profile is still the main description of the target audience
The market still widely uses the classic approach: a brand defines the socio-demographic core of buyers and builds its media plan around it. If the bulk of sales come from, for example, men and women aged 25 to 45 with a family, that segment is fixed as the "target audience".
This approach is historically justified. But in modern 360 communication, where a brand works simultaneously with TV, digital video, banner advertising, retail media and performance, it increasingly limits growth.
The problem is not that socio-demographics are no longer needed. The problem is that they are often used as the only model for describing the audience, when that is no longer enough to understand the real structure of demand.
Where the "core" logic came from
The socio-demographic core became the basis of planning in the era of mass media.
In TV, radio and outdoor advertising it was impossible to control the composition of the audience. One airing of an ad reached everyone who came into contact with the medium. So the logic was simple: find the "densest" segment of buyers and focus on it.
If the maximum share of consumption fell, for example, on 25–54, planning was built around this group. This increased the probability of a useful contact.
At the same time, actual reach was always wider than the core, and communication reached other segments too.
Why this logic breaks in digital
In digital the situation is fundamentally different. Targeting here determines not only priority but the very fact of contact. If a campaign is set to "25–54 with a child", other audiences receive significantly fewer impressions or none at all.
Offline they would have been reached anyway. In digital they may not enter the communication at all.
Even if targeting is not absolutely rigid, the effect becomes systemic: a model that used to help optimise reach turns into a filter that cuts off.
As a result the core stops being the centre of gravity and begins to limit growth. Part of real demand simply never reaches the communication because it did not fit the settings.
The core is not the whole structure of demand
If 60% of buyers belong to one socio-demographic segment, it means the segment is important and should get priority. But it does not mean the other 40% can be ignored.
In most categories — especially FMCG, household appliances, pharma, financial services, retail, travel and e-commerce — the structure of demand is far wider than the standard audience portrait.
The product is bought by:
- younger and older audiences;
- people without a family;
- those buying not for themselves but, for example, as a gift;
- users who enter the category through specific life situations, and so on.
From a business point of view these are the same sales. Revenue does not depend on how closely a buyer matches the "ideal portrait".
But with narrow digital targeting these purchases may simply not happen, because the advertising never reached those people.
The limitation comes not from socio-demographics but from their exclusivity
Important: this is not about abandoning the socio-demographic model.
It remains useful:
- for comparability between media channels;
- for analysing current buyers;
- for reach estimation;
- for creative conclusions and implementations.
Moreover, in offline media it is still the main planning tool. The problem arises when socio-demographics are used as the only model of the audience.
In reality they should play a different role — be the language of description and measurement, not the model for decision-making. The mistake is not in using socio-demographics, but in taking them for the model of demand.
How it makes sense to describe the audience today
In practice this is a move from a single characteristic to a multi-layer model.
- The first layer is socio-demographic. It answers who buys the product most often and sets the basic frame of the campaign.
- The second layer is behavioural. It shows how the audience behaves in the category: what it searches for, what it reads, what content it engages with, which consumption patterns it shows. This layer is critical for digital, because it allows working with response probability rather than a formal portrait.
- The third layer is situational (contextual). The same product is bought in different scenarios: for oneself, for the family, at a change of life stage, for a specific task or event.
- The fourth layer is probabilistic. It determines how the audience is distributed by purchase probability and how budget and contact frequency are split between segments. The audience stops being binary ("target / not target") and becomes a spectrum of segments with different propensity to convert.
- This is where the key difference lies: the traditional model answers "who is our buyer", the modern one — "where is the demand and with what probability it converts".
Importantly, these layers are used simultaneously, not as alternatives.
How this transforms the media plan
If we accept such a model, the role of channels changes. TV and other mass offline media remain tools of broad reach but begin to play a more important role. They form the first contact and act as the entry point into further communication.
At the same time the logic of TV planning does not change and is still built on socio-demographics. At the moment this is a limitation of the toolkit, not a reflection of the structure of demand. Then digital connects — not as a separate stage, but as a continuation of work with the same user. What changes is not the audience but the way it is described and set up.
As a result the same audience goes through a single contact system:
- TV gives scale and forms the entry into the brandformance funnel;
- OLV and digital video refine interest and context;
- performance works with segments of high purchase probability.
The result is not a set of channels but a connected system where what differs is not the audience but the level and context of interaction with it.
What the cases show
Practice confirms this approach.
- The Honest Company. The shift to in-market audiences delivered +30% conversions and a notable gain versus other targeting.
- Nestlé (CHEERIOS). Retail data audiences delivered +88% conversions and a multiple lower CPA.
- Lay's ("Iz Pechi"). Significant growth across all brand metrics after abandoning socio-demographic targeting.
In every case the result repeats: more precise work with demand raises efficiency without losing reach.
Conclusion
The socio-demographic model does not disappear, but it stops being sufficient. Trying to describe the audience through a single portrait becomes a limitation on growth. A modern 360 campaign requires a more complex construction: the audience is a system of segments with different response probability, different consumption scenarios and different roles in shaping demand. And this is the model it makes sense to work with in media planning today.