Introducing PBX Ideate: AI-Powered Insights from GAIN in Kameleoon’s leading experimentation platform.

We are delighted to announce an expanded partnership between GAIN and Kameleoon and to introduce an AI-powered experimentation ideation tool to the Conversion Rate Optimisation (CRO) market, named PBX Ideate. The tool analyses website pages to identify, ideate, analyse, create and implement new test-ready options for brands to experiment and increase conversion rates.

Drake Som, Director of AI & Growth at GAIN Conversion.

AI Is Transforming Experimentation. Now It’s Time to Unlock Its Full Potential

Experimentation demands faster insights, optimisation, and growth. However, those managing programmes know that the constraints are often not related to the platform, traffic, or development resources.

Instead, ideation and testing velocity can pose major barriers to experimentation. 

Strong experimentation programmes depend on robust hypotheses, identifying meaningful opportunities, framing them properly, and prioritising effectively. These factors separate high-performing digital marketeers from those simply running tests.

Traditionally, testing can be slow, requiring analysis, experience, and a deep understanding of user behaviour. GAIN has built a proprietary AI tool in order to accelerate and transform this process based on the expertise of GAIN Conversion, one of the world’s leading dedicated experimentation and optimisation consultancies and its published Lever framework.

PBX Ideate platform

Kameleoon’s PBX Ideate utilises this technology, and in doing so, harnesses over 15 years of expertise across GAIN’s CRO experts. 

PBX Ideate works by scanning your website, detecting friction points and areas of improvement using AI built on GAIN’s knowledge from running over 20,000 experiments. Users simply input a URL or select a digital journey, then receive a detailed list of tailored testing suggestions along with explanations for why each opportunity was identified. This seamless workflow is designed to fit easily into existing experimentation processes, helping teams quickly produce, strategically select, and act on high-potential ideas.

For experimentation teams, this marks a significant change in idea generation and programme scalability.