ClaraVista, creating a data-driven edge
for your brand
At the heart of our beliefs, stands one firm conviction: it’s when different views meet that you gain a competitive advantage. We refer to this as the edge effect.
The edge effect is a concept derived from environmental science: it’s where two ecosystems intersect that biodiversity is at its highest, with plant and animal species developing and thriving.
At the edge of the forest, species find advantages of both woodland and grassland : sunlight, moisture, shade. This richness of elements allows them to live in harmony and grow.
We nourish this by blending data expertise, tech proficiency, and marketing to give our clients an edge on the competition. It is at the frontier of these skills that our expertise and creativity are born.
The edge effect is our active ingredient, where our key differentiator lies, that which allows us to create a competitive advantage for the brands that put their trust in us
Data isn’t a hype keyword or some vague promise with ClaraVista. It’s the groundwork to achieving your marketing goals, and because data can’t express itself, we combine it with human intelligence.
ClaraVista forged these beliefs through tailor-made solution design for brands that trusted us then, and still do to this day.
Since its creation in 2001, the firm has grown through the great data revolutions.
These experiences have honed our instincts, and these make a difference when we’re looking at data.
We can no longer think of marketing without data, and because any data-driven approach requires quality upstream solution design, ClaraVista has been uniting these two for over 15 years.
Creation of ClaraVista by Edouard Fonkenell and another partner from McKinsey
Launch of the Datascience team with Jacky Cuogo's arrival as Partner
Support of Canal + in the repositioning and optimization of its client & prospect management strategy
Marionnaud's CRM reshaping following the acquisition by AS Watson
Development of new, more impactful segmentation approaches. Implementation and management of ClaraVista’s first CRM datamarts
Arketis becomes ClaraVista
Strong R&D investment into innovative approaches for customer preference modelling and 1 to 1 product recommendation engines
First experiences on 1 to 1 product recommendation models in the Luxury industry
With the arrival of Sr. Partner Jean-Christophe Israel, the Customer Experience department conceives and implements its first “dynamic sequences of contacts”
ClaraVista works with Sephora to develop and roll out an iPod CRM application. This tool, supporting Sales Associates in improving the Sephora customer experience, is a European first
A Big Data architecture is implemented. This is followed by projects to accompany various clients in the understanding of their online customer / prospect behaviors and related action plans
Creation and implementation of an innovative and powerful customer qualification system for Bouygues Telecom
ClaraVista moves to 19-21 rue Poissonnière in the 2nd arrondissement of Paris to pursue its growth and welcome new talents
ClaraVista enriches its Big Data technologies with the integration of online behavior in its predictive algorithms
Redefining of the multichannel relational strategy of one of the biggest jewelers of the world
After a few months of incubation within ClaraVista, the startup Lineberty is created to revolutionize queuing. Lineberty is 'The app that queues up for you'
ClaraVista accompanies L’Occitane on the hyper-personalisation of its marketing actions
Creation of an algorithm to improve targeted advertizing for a major digital media group
ClaraVista accompanies a world leader in the luxury industry in its data strategy and in the digitalization of its boutiques
Opening of the New York office
Development of a in-house clienteling tool
Opening of the Singapore office, led by Antoine Jouanjean
Reinforcement of the expertise on chatbot technology
Creation by ClaraVista of Moonfish, a subsidiary company dedicated to Machine Learning and AI
Boosting the recruitment with Welcome to the Jungle
Supporting a major banking actor on artificial intelligence topics by creating product recommendation algorithms