The ability to optimize customer experience (CX) is increasingly critical to firms’ ability to win, serve, and retain their customers. This means firms must close the gap between data, analysis, insights, and action to optimize and scale the delivery of customer experiences based on data and insights.
Kameleoon provides an A/B testing and AI-powered personalization platform that helps its client organizations boost conversion rates and increase cross-selling through their websites across channels. Kameleoon commissioned Forrester Consulting to conduct a Total Economic ImpactTM (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Kameleoon. The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of Kameleoon on their organizations.
Kameleoon is a technology platform for real-time online optimization and conversion, combining three complementary practices: A/B testing to optimize the customer experience (Kameleoon Experiment), personalization/segmentation to personalize experiences for specific groups (Kameleoon Segment), and AI-automated personalization to individualize the customer experience (Kameleoon Predict).
Kameleoon serves a wide range of businesses, which differ broadly in annual revenue (ranging from $10 million to $10 billion); vertical (from retail and media to automotive, financial services, and travel); product lines (from cars to train tickets); customer segment (from luxury to the mass market); and web traffic volume (from 500,000 to 30 million visits per month).
To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed several client organizations with years of experience using Kameleoon. Each client organization saw rapid adoption of the Kameleoon tools, thanks to smooth implementation and user- friendly integration processes. Client organizations further highlighted that they quickly increased use cases after piloting Kameleoon due to the ease of both concept proofing and scaling up the solution.
Prior to using Kameleoon, client organizations either did not have any personalization capabilities at all or used A/B testing platforms that lacked predictive engines and propensity scores. They felt they were therefore not as effective as they could be in boosting conversion rates by enabling targeted web experience design."