BESTFIT's behavioural, science-based approach focuses on the diversity that is a very important insight in understanding and predicting human behaviour.
Using the power of prediction for greater commercial success for clients
Using the power of prediction you gain insight in yourself as customer, employee or citizen
BESTFIT helps clients understand customers better and predict their expected behaviour. By looking not only on what customers do, but also what motivates them to do so, companies manage to interact with their customers more wisely and overachieve on their business goals. Clients can also, with their consent, get better insights and drivers and health of employees or citizens.
BESTFIT brings in Nobel Prize winning academic research into a practical and efficient platform, ready to deploy commercially with minimum effort. By combining the skills of the psychologist and the data analyst, we predict customer behaviours and preferences, based on their intrinsic motivations. We do so in a simple, fast, gamified way that simultaneously satisfies increasing customer demand for personalisation and experience.
You don't need a team of scientists. You just need BESTFIT .
The Power of Prediction explained by BestFiT's Chief Scientist Dr. Moran Cerf
BESTFIT delivers up to 96% proven profile accuracy
The BESTFIT questionnaire has been tested and validated by WPP Group, one of the world's largest marketing agencies. The results showed excellent accuracy in identifying the participants' characteristics.
87% decision-making style
85% autonomy of decisions
"This is ME!"
91% time horizon
90% level of involvement
89% appetite for risk
85% passion for technology
BESTFIT's Engagement Approach
We deliver a win-win proposition by presenting your target group with an intriguing experience which provides (emotional) rewards
How behavioural science methods lead to better customer, employee and civilian profiling
We deploy a range of behavioural science practices to present an engaging experience to your target groups, while achieving maximum prediction accuracy for personality traits that are stable over time.