Overview
AI-driven experimentation and personalisation platform. Continuously allocates visitors to experiment variants, evolves winning configurations via genetic algorithms, and measures outcomes across multiple KPIs simultaneously. Collects IP-derived geolocation, device context, and per-visitor experiment allocations.
Detection capabilities
- Signature count
- 2
- Detection methods
- network
- Property types
- hostnamepathname
Performance impact
Performance Impact
- Script size
- 70 KB
- Requests per page
- 4
Common mistakes
- 1Loading the webloader before consent is resolved, causing experiment allocations to be created for visitors who will later reject
- 2Sending full geolocation context (geo.city, geo.postal, geo.lat, geo.lon) with every data ping without IP truncation
- 3Treating AI-driven optimisation the same as simple A/B testing for consent purposes - the continuous profile-building behaviour is closer to personalisation
- 4Relying on the SDK's own consent gating rather than gating the webloader request itself at the tag manager layer
Related services
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