BestFit offers multiple solutions that are using a customised, engaging questionnaire and advanced psychological analysis algorithms, together in an Experience Management Platform.
BestFit's algorithms are a synthesis of several scientific disciplines, from psychology and sociology, to mathematics and computer science, and was developed by BestFit professionals and worldwide known academic researchers.
Using BestFit's algorithm is like having a pool of human scientists analysing the customer and optimizing the service that the customer is receiving. The scoring system was developed by a team of mathematicians and psychometricians, and it defines a customer profile that is rich of information and very granular.
The engagement can start in any communication channel via an anonymous, personal link, that will lead customers to a tailor-made online questionnaire. After completing the entertaining questions, customers receive a charming profile that can be shared online. In this way BESTFIT expands your brand reach and efficient viral marketing.
While the customer receives a fun and easy to read personal profile, you will receive complete detailed analysis of every customer as well as identified segments and clusters, per your business goal.
Our data scientists will extract customer insights for your specific needs, and the raw data collected can also enrich and improve your own internal models.
Turn anonymous visitors to hot leads
Increase conversion through innovative onboarding
Increase sales with HI product matching
Increase NPS with positive experiences
Expand your brand organically
Our services include turn key projects - from planning and development to execution and analysis - we are a one stop shop for your Human Intelligence.
Identify your customers personality traits and create smart HI customer segments and clusters
Identify your products characteristics and evaluate their cognitive and emotional scoring
Connect your agents or relationship managers to your customers based on personality match
Product recommendations based on customers personality and decision making style