Glossary · Briefing & pitch
Pitch Quality: How Clients Can Recognize It in Advance – Dr. Florian Bresler
For his dissertation, Dr. Florian Bresler, Munich, asked 209 clients what determined the quality of an agency's work in hindsight. He did not examine whether a pitch is good. This entry applies the findings to the moment before the commission and marks every derivation as such.
0.98
standardized weight of leadership efficiency in the final model
0.95
loading of communication competence on employee quality
3.75
mean of knowledge management, highest of all enabler statements, with no significant relationship to quality
209
clients with a completed project worth more than 100,000 euros
A pitch is a prediction
In a pitch, clients decide without knowing the work. The survey, by contrast, looks back: it records how clients judge an agency after a completed project. From it one can derive what is worth watching in a pitch, namely the traits that later proved effective. Only the retrospective view is documented. That agencies can be recognized by them already in the pitch is an assumption.
The findings come from the judgments of 209 clients who had completed a project worth more than 100,000 euros with an agency. They rated all statements on a scale from 1 to 5. A pitch does not appear in this survey. The following sections therefore provide no test procedure but questions that can be justified by the figures.
The agency head first
Leadership efficiency reaches a weight of 0.98 in the final model, while employee quality comes to 0.14. The agency head was measured through three statements: the head enables participation, appears charismatic, and identifies with the organization as a whole.
As a transfer to the pitch: anyone who experiences the agency head in the room sees exactly these traits in advance. It is telling whether the person who will later be responsible leads the pitch personally, whether they let the team speak, and whether they talk about the agency as a whole or only about their own area.
Conversation skills before figures
In the final model, employee quality rests almost entirely on communication competence (loading 0.95). Entrepreneurial orientation did not reach significance (p = 0.72). The study reads this to mean that clients want to feel part of a committed network. Transferred to the pitch: how the team responds to questions says more than the number of slides.
A finding on leadership culture adds to this. The study concludes that transparency in agencies arises more from informal exchange than from quality routines, and it names meeting new ideas openly as a task. This can be observed in a pitch: does the agency head listen when someone from the team adds a thought, or is it passed over? The survey did not measure this exchange, however.
Putting arguments in perspective
Pitches like to argue with network, systems and knowledge base. The survey rates these building blocks strikingly well and still finds no relationship with perceived quality: knowledge management received the highest mean of all twelve enabler statements at 3.75, and resource integration as a whole remained without significant effect (estimate −0.04, p = 0.67).
This does not mean these building blocks are worthless. It means that, in this study, they did little to justify choosing an agency. A pitch that tries to convince solely with them remains information about equipment, not about collaboration.
Checkpoints for the conversation
Five questions can be derived from the findings. They are a grid for the conversation, not a test:
- Who is actually responsible for the project, and is this person at the table?
- How is the team involved in decisions?
- How does the team handle questions and disagreement?
- What should success look like? Customer trust was the strongest success measure (0.80); financial indicators showed no significant relationship.
- How do insights from earlier projects flow back into the work?
All values rest on the judgments of clients from the customer circles of two agency networks, not on measurements taken in a pitch. Cross-relationships between the factors are not modeled.