Optimizely Agentic Personalisation & Experimentation
Bring relevance to every customer interaction and prove what works.
Increase relevance
Adapt experiences around customer context, intent and behaviour so each interaction has a clearer purpose.
Scale personalisation
Extend tailored experiences across more audiences, journeys and campaigns without multiplying manual production.
Grow revenue
Use greater relevance and continuous experimentation to improve conversion, customer value and revenue performance.
For years, personalisation has relied on broad segments, simple rules and manually produced variations. Disconnected customer data and limited content capacity have kept individual relevance beyond practical reach.
Personalisation often stops at broad segments because creating, governing and maintaining enough individual experiences takes too much effort.
Customer, behavioural and campaign data sits across systems, leaving rules and audiences without the connected context needed for individual relevance.
Even strong customer insight creates little value when teams cannot produce enough governed content and experience variations.
Rules become difficult to maintain, while experimentation results remain separate from the next audience, message or experience decision.
Optimizely’s AI platform uses customer context to shape individual experiences in real time and learns what works to improve every interaction.
Activate customer context
Combine known profiles, behaviour and in-session signals so each experience responds to what is known about the individual.
Assemble experiences dynamically
AI assembles approved content and page layouts in real time, creating experiences around the individual rather than choosing from fixed journeys.
Scale experience creation
Agents research audiences and generate governed variations, helping teams personalise more journeys without multiplying manual production.
Learn and improve continuously
Experimentation tests what is not yet known, while AI monitors results and carries the learning into the next experience.
Enhanced digital customer experience through a value-led programme of data, insights and content optimisation.
Supporting global growth through Optimizely re-platforming and digital experience and operations transformation.
Read the story
Connected content, commerce and optimisation capabilities support coherent buying experiences across packaged and composable models.
Personalise experiences
Web Personalisation targets experiences using audiences, segments and customer context, while behavioural data and experiment results help teams decide which experience to show.
Generate at scale
Agent Platform adds capacity for audience research and tailored experience creation, helping teams deliver deeper personalisation without multiplying manual production.
Activate audiences
Optimizely Data Platform brings customer profiles, behavioural events and attributes together for segmentation, real-time audiences and activation where connected context is required.
Experiment everywhere
Web and Feature Experimentation support controlled learning across experiences and product capabilities, from visual tests to server-side experiments and feature releases.
Create and compare variations
Visual editing and AI-assisted ideation help teams develop and compare experience variations with less production effort.
Test across channels
Visual and server-side experimentation let teams test customer-facing experiences, products and releases wherever decisions need evidence.
Prioritise what comes next
AI grounded in experimentation evidence helps teams focus on the opportunities most likely to improve key customer and commercial measures.
Make evidence easier to act on
Trusted analytics, monitoring and clear reporting help teams turn experiment results into faster, more confident personalisation decisions.
Start with the customer moment where greater relevance could matter, then clarify the context, content, evidence and controls needed to deliver it well.
Understand today
See where broad rules, disconnected context, content capacity, manual experimentation work or weak measurement prevent personalisation from becoming genuinely individual.
Define tomorrow
Shape how customer context, content, personalisation, AI-assisted workflows and experimentation should work together around the individual.
Prove
Test a high-value personalisation opportunity with real-world customer context, content and measures, creating evidence before wider investment.
It uses AI agents to help create and improve relevant experiences for different customers, within rules you control. Your team sets the purpose and approvals, while testing shows whether the personalised experience is genuinely more helpful and effective.
We agree what the test must prove before it starts, check the tracking and let it run long enough to produce a dependable result. You receive the full learning - including neutral results - so future decisions improve as well.
They often begin with technology rather than a useful customer problem. Limited data, too little content or unclear ownership then slows progress. Starting with one valuable audience or journey makes it easier to prove benefit and build confidence.
Not always. You may be able to start with the customer and behavioural data you already have. A customer data platform becomes more useful when you need to recognise and serve people consistently across several channels or systems.
Run the number your customer traffic and team can support properly. A smaller set of meaningful tests is more valuable than a high volume of weak ones. We help you prioritise questions that can produce a reliable and useful decision.
We agree what the test must prove before it starts, check the tracking and let it run long enough to produce a dependable result. You receive the full learning - including neutral results - so future decisions improve as well.
Schedule a call, drop us a message or give us a ring. Whatever helps you take the next step on your journey.
