Contents that rely on generative AI and an all-in-one platform with a freemium model to democratize web analytics. Its founder and CEO details its ambitions to the JDN, including the upcoming arrival of IA agents.
JDN. What are the main cases of use of content tools, specialist in behavioral analysis on the web ?
Jonathan Cherki. The objective of Contentsquare is to allow companies to make informed and fast decisions by understanding what works or not on their site or mobile application, while alerting them immediately in the event of an anomaly. Our solution is aimed at both marketing teams, product, and IT. Today, Contentsquare is deployed on more than 1.3 million websites and mobile applications, serving 3,000 large customers. Thanks to our analytics tools, these companies can optimize the navigation experience of their customers, by creating more fluid courses and thus improving their conversion rates. We also allow them to refine the precision of their A/B tests and instantly identify errors with real -time alerts. Our mission is to give our customers the means to offer the best possible navigation experience.
You have recently announced the integration of features fueled by generative AI. What impact will they have on the customer experience ?
The potential for transforming analytics by AI is immense, but its effectiveness depends on the quality of the data used, an asset available to precisely. For our customers, AI will not only be able to summarize and predict information, but also personalize the user experience. Concretely, it will offer them a clearer reading of customer data and will highlight optimization opportunities. The first phase of our AI strategy concerns assistance and support, with the deployment of our IA chatbot, Copilot. This interactive tool allows users to generate summaries and predictions. For example, it can synthesize different routes and user behavior while identifying any friction points.
Besides Copilot, what are the other features based on generative AI?
Thanks to benchmarking and analysis of past performance, AI will be able to predict certain trends, such as assessing the efficiency of a new user route and immediately alert our customers in the event of anomalies. AI also plays a key role in collecting customer feedbacks. For example, it can automatically generate a satisfaction survey to identify the different friction points in a purchasing course. From a quick, our system can, for example, generate around twenty questions, automatically subject to visitors to a site. Then, he analyzes the results, formulates recommendations and extract from insights, while being able to associate a feeling with the answers provided.
What are your projects in the field of agentic AI?
This is the second key phase of our IA plan. Our goal is to develop agents capable of providing personalized recommendations proactively. These agents will also be able to make daily predictions, anticipate trends and alert our customers in real time in the event of a problem. We will soon announce their availability.
Our ambition is to develop agents specialized by sector and by profession. With our technology deployed on more than 1.3 million sites around the world, we have an in -depth vision of trends specific to each sector of activity. It will be possible to call on agents preconfigured for certain trades, such as those of marketing, product or technological managers. These agents will be able to understand their specific needs and select the most relevant indicators.
With the boom in real-time personalization of websites and applications, what role does he intend to play in this transformation of the web ?
This actually corresponds to the third phase of our AI strategy, which aims for total automation to offer real -time personalization of navigation, depending on the interests of each user. Thanks to the content of contents and the capacities of AI models, it will be possible to dynamically adapt; Not only research functions, but also textual and visual content, which will be generated in real time.
All this will help create a truly unique experience for each internet user. In other words, sites and applications will no longer be designed for everyone, but optimized for each of us. This development will become a reality in the years to come, and with the acceleration of these personalization capacities, our customers will need more than ever.
In this context where the navigation experience becomes more and more personalized, what are the levers to guarantee respect for the privacy of users?
Respect for privacy has been at the heart of contents of contents of content since its creation. We are not trying to know the interests of a surfer, but rather to understand his intentions: is he frustrated? Dissatisfied? Does he sail quickly? Is it in the discovery or purchase phase? For this, we have developed a frustration score, comparable to a digital version of the NPS, allowing to assess the satisfaction of a user during his navigation.
Anticipating the disappearance of third -party cookies, our solution already works without using it. There is therefore no opposition between personalization of experience and respect for privacy. Ultimately, this understanding of behavior can be enriched by other types of data from various platforms, requiring interoperability between systems. It is with this in mind that Contentsquare has developed a large number of integrations with its ecosystem.
With a total of $ 1.4 billion raised through six funding laps, is the next step on the next step for Contentsquare? What are your priorities in terms of product development?
These significant fundraising allow us to continue our development without the need for short -term financing. Our current priority is to accelerate our international expansion. Almost 50% of our activity is concentrated in the United States, a key market for us, while Europe, where our head office is based in France, represents 45% of our turnover. The rest is carried out in the Asia-Pacific region and Japan. We want to continue the integration of all our solutions within an all-in-one platform, in order to send businesses of all sizes, while developing our agents.
Jonathan Cherki is the founder and CEO of Contentsquare, a digital analysis platform that uses AI to understand user behavior on websites and mobile applications. After studying at ESSEC, he founded content in 2012 and now runs the company from New York.
