GFK – Doxapharma
Branded companies and communication agencies focused on testing how effective their communication is, their claims, or products, by understanding what catches the attention of a panel of respondents, to figure out what people think and feel before deciding to buy and getting insights into drivers of customer purchase behaviour preferences, paths and attention.
Retailers interested in customer experience optimisation inside their stores.
Customer Experience optimisation with Neuralya
Consumers’ attention has never been harder to earn, it’s extremely hard to communicate effectively and turn visitors into customers.
To catch their attention, engage, and stimulate an interaction with your product or service, it’s crucial to analyse a set of indicators (KPI), for each phase of the customer journey. These insights have to be able to contribute to the customer’s experience optimisation, both in a physical space and in a virtual one
By applying neuroscience and behavioural analysis principles, we use emerging technology that measures people’s behaviours and reactions to products.
Neuralya helps to understand what catches the attention of a customer, figure out what people think and feel before deciding to buy and get insights into drivers of customers purchase behaviour preferences, paths and attention.
GFK used Neuralya to select the best soundtrack for the new advertising campaign of ENI.
The suite, Neuralya, combines three layers to understand your customer behaviour and give feedback on your customer experience and interaction in a store and via a digital touchpoint (social network, web site, video etc).
Neuralya Lab: Neuralya Lab is an easy-to-use neuromarketing platform which incorporates non-invasive wearable devices. It combines Eye Tracking, Facial Expressions, GSR and EEG techniques to gain insights about human behaviour.
By collecting data from different sensors, we measure conscious and unconscious responses from your clients or consumers.
Respondent: 20 – Soundtrack tested: 2
GFK, using Neuralya, was able to get:
- Data-driven decision to select the best soundtrack
- Benchmark with focus group results