Understand
the emotions
of your clients...
All your clients.
Understand your consumers, optimize your brand image, and boost your conversions through personalized analytical and creative support.
How does it work?
Emoticonnect decrypts thousands of interactions, likes, comments across the entire web for you.
data retrieval
OUR WEBSITE
(semantic, visual, demographic,
geographic, shopping cart/abandoned cart...)
analyse/classification
reporting
1
Competitive positioning
2
Defined target clientele
VS
Acquired marketing targets
3
Scoring sur les émotions
Générées par les messages diffusés
4
Operational improvement
axes
With its emotional technology, Emoticonnect provides you with data on the real impact of your brand, on your target customers and how they feel about your messages. Advanced semantic analysis, combined with neuro-cognitive sciences, enhances your customer experience, your image, and provides you with key and concrete improvement strategies.
Knowing, centralizing, improving, creating, and performing to communicate better, reassure, pamper, and above all, preserve.
Why understand the emotions you provoke to your clients?
23%
Professionals use AI tools in their daily lives, our emotional analysis tool makes this approach and integration of innovation into your work easier.
66%
of the global population interacts with businesses daily on the web
86,6
In January 2024, billions of visits on Google. Our AI extracts all the data you want from an emotional and understandable perspective to optimize your performance quickly.
Our storie
After several years of assisting companies in optimizing their visibility, I couldn't find an existing tool that allowed for a better understanding of their communities across the entire web, from an almost personalized and precise perspective, regarding their daily expectations. This is how the first idea for Emoticonnect was born: to be able to address consumers' emotional demands while conveying to brands our human, creative, and marketing expertise.
Alda Mari, Research Director
I am the research director at the Jean Nicod Institute, and, with part of my team, I have engaged in a new public-private collaboration around automatic emotion detection, a challenging area from a research perspective with a large number of unfulfilled proposals. It is a real theoretical and empirical challenge that I have taken up as an expert in meaning and meaning in context, strengthened by my long collaboration with Natural Language Processing (NLP) teams. This is a new approach to emotion analysis that is emerging, in collaboration with the innovative company Macomagency, led by Marie Argence.