The Facit Pretest evaluates advertising media quickly and validly on many channels and provides a prediction of the advertising effect with proven performance indicators. Realistic embedding in environments, channels and devices: Participants see the advertising media under a pretext and can avoid advertising - just like in real life. We test against an extensive benchmark database with one of the largest German online panels.
A qualitative approach in the form of expert validation is AD profiling. It combines the advantages of psychological expert assessments and systemic research findings for the optimisation of advertising media and delivers depth-psychologically sound results.
We test the usability and the user experience with representatives of the target group. The participants solve realistic use cases and are observed and questioned. The tests can take place in our laboratory in Munich, remotely or in any major city.
With this tool, users from anywhere in the world can test websites or apps on their own device. The questions that guide the user through the interview allow the tasks to be carried out autonomously without a moderator. Not only when budgets are tight, but also when time is of the essence, this is an ideal research tool for identifying usability problems and increasing user satisfaction.
An ideal site structure guides users unerringly and quickly to the desired content and functions. Our pedal test checks the effectiveness and efficiency of the navigation as well as the subjective satisfaction of the users - for existing websites as well as for click dummies before the launch.
Biometric research serves to uncover non-verbalized processes in the body: What happens when a message arrives and is processed? Do true emotional reactions deviate from scaled statements? Does information manage to penetrate the long-term memory and thus be remembered? The possible applications in marketing range from brand management to target group determination, impact measurement of brand messages and touch point optimization to media classification.