Defining the target audience

Understanding segments and demand behaviour and making them steerable.

Yoline defines target audiences by decision-making ability, system state and economic relevance. The outcome is a precise picture of the target audience. It rests on real behaviour and feeds directly into offer and pricing.

What is a target audience in the business model?

A target audience in the business model is the set of organisations or people who actually decide under defined conditions. It differs from a marketing target audience in not being defined by demographics or sector. What counts is behaviour, decision-making ability and economic relevance.

Sector and size are not enough

Many companies describe target audiences by sector, size or function. This classification looks neat but provides no robust basis for decisions. Two organisations of similar size in the same market can work completely differently. Different decision paths, different data and different willingness to pay lead to entirely different demand behaviour. Anyone who describes target audiences only superficially does not understand how demand arises.

Part of the economic logic

Target audiences are an integral part of the economic logic of a business model. This shifts the perspective from reach to decision-making ability.

How robust segments emerge

Three dimensions are decisive for robust segmentation.

Maturity of the organisation

How clearly are goals, priorities and decision logics defined? A mature organisation decides differently from one that is still being built.

System and data state

How well are systems connected, and how is data used for decisions? Organisations with little data need different entry points from data-mature ones.

Decision-making ability

How quickly and soundly are decisions made and implemented?

Triggers are decisive

Demand only arises when a situation becomes relevant to a decision. Typical triggers are rising operational complexity, fragmented systems and data silos. Added to this are parallel initiatives without sound prioritisation, or external pressure from programmes, markets or requirements. These situations create pressure to decide.

Identical market, different demand

Two organisations from the same environment invest in digital development. Both pursue similar goals and address comparable target audiences. Their starting positions, however, differ fundamentally. The first organisation works with isolated systems and fragmented data. Decisions arise case by case and are hard to trace. The second organisation has connected systems, defined data structures and established decision logics. The consequence is directly visible. The second needs targeted further development and scaling. Although market and offer are similar, demand, entry point and collaboration differ fundamentally.

From describing to understanding

When target audiences are understood by behaviour, system state and decision logic, the whole business model changes. Offers take hold faster because they are aligned with real situations. Price structures become comprehensible because willingness to pay can be classified. Sales becomes more efficient because conversations are based on concrete problems.

When clarifying target audiences becomes relevant

The topic becomes relevant when target audiences are defined too broadly and offers do not take hold. When demand exists but cannot be turned into concrete projects. When sales conversations remain vague and decisions are delayed. Or when organisations invest but have no comprehensible logic behind their decisions.