KINESSO Launches Industry-First “Experimentation Lab”

Advertisement

KINESSO announced the launch of its “Experimentation Lab,” an industry-first solution addressing a critical need for large-scale experimentation. The Experimentation Lab is a centralized platform that empowers marketers to design, execute, and analyze experiments across all channels, including media, owned assets, apps, and web experiences. By leveraging AI and automation, the Lab streamlines the experimentation process, enhancing speed to market and enabling faster, data-driven decisions. Through cross-functional collaboration and the standardization of testing methodologies, KINESSO’s Experimentation Lab democratizes insights, helping clients unlock actionable data to make smarter, more informed business decisions.
"The Experimentation Lab is more than just a tool, it's a catalyst for innovation. By harnessing the collective wisdom from tens of thousands of experiments across brands and industries, we're empowering our clients to make more informed decisions and achieve unprecedented results,” said Berna Tollefsen, VP of Experimentation at KINESSO. “No matter the industry, the insights and learnings collected in the Experimentation Lab can help marketers stay ahead of the curve."
The Experimentation Lab is designed to streamline and scale experimentation efforts across KINESSO and IPG clients globally. By providing a standardized framework and centralized platform, it enables marketers to conduct experiments more efficiently and effectively. In addition to time and resources saved, it ensures insights and learnings can be shared and applied across different campaigns, verticals, and markets at scale, driving greater return on investment.
Also Read: Jasper Introduces the First AI Knowledge Layer Tailored for Marketing
Key Features of the Experimentation Lab include:
- End-to-End Experimentation Management: Centralized platform for ideation, planning, design, and collaboration on experiments.
- Data-Driven Insights: Leverages data to inform experiment design, analysis, and optimization.
- Cross-Channel Collaboration: Facilitates collaboration among teams and channels to maximize learning.
- AI-Powered Recommendations: Generates actionable recommendations based on experiment results and brand objectives.
- Simplified User Interface: Intuitive interface that enables employees of all levels to conduct and understand experiments.
- Automation and Efficiency: Streamlines workflows and automates tasks to save time and resources.
Advertisement

