Between Clarity and Ambiguity: Data-Driven Narrowcasting as a New Art of Targeting Audiences

Between Clarity and Ambiguity: Data-Driven Narrowcasting as a New Art of Targeting Audiences

by: Prof. Dr. Ulrich Bihler (University of Hohenheim) | Data-Driven Narrowcasting

Clarity builds trust, but it can also trigger conflicts. Ambiguity creates leeway, but risks accusations of manipulation. In the “Data & Insights Experts” interest group, Prof. Dr. Ulrich Bihler (University of Hohenheim) demonstrated how data-driven target audience engagement exacerbates this tension and why actively managing both poles is becoming a core competency of strategic communication.

The Central Area of Tension

The postmodern public sphere is characterized by complexity, diversity, and conflicting expectations. Organizations must therefore manage both the clarity and the ambiguity of their core messages in order to remain credible and relevant to a diverse range of stakeholders. Successful organizations balance these two poles depending on the situation rather than committing to just one.

The Spiral of Ambiguity

Precise data analysis enables highly targeted messages. This increases relevance and impact, but carries a risk: if each subgroup sees only one facet, the overall message becomes increasingly ambiguous. This ambiguity can offer competitive advantages, but requires ethical guidelines and transparent disclosure of why different message variations exist.
Two key questions therefore guide every campaign: How far can ambiguity go without compromising credibility? And where is absolute clarity necessary—for example, in value propositions, regulatory statements, or crisis communication?

A Model for Practical Application

Narrowcasting can be structured. Bihler outlined an ideal-typical model in five steps: Strategic & Content Framing (defining goals and content), Emotional Framing (emotional resonance), Editorial Framing (narrative and storytelling), Comprehensible Framing (clarity and accessibility), and Test Framing (iterative monitoring and optimization). Fine-grained segmentation identifies heterogeneous stakeholder needs, while an omnichannel architecture delivers central core narratives alongside personalized content.

Conclusion

Data-driven narrowcasting increases precision, relevance, and interaction while reducing wasted reach. The trade-off is more demanding reputation management: clarity and ambiguity must be consciously managed. In the future, complex, globally interconnected publics will force companies to strike precisely this balance between unambiguous and ambiguous messages.
How far can data-driven personalization go without risking credibility? This question is at the heart of our “Data & Insights Experts” interest group. Join the discussion with us!