Description

This carousel captures Abi’s key takeaways from Experimentation Elite 2024, translating talks from across the event into a short, practical summary for people working in CRO, UX, experimentation, product and digital strategy.

The themes cover a useful spread of modern optimisation concerns: using AI meaningfully rather than bolting it on as a fake feature, building retention through resonance and relationships, using behavioural and customer data more intelligently, designing with context, avoiding solution bias, and creating experimentation cultures that help more people learn and test.

The carousel also pulls out wider points on differentiation, accessibility, and customer journey optimisation, including the reminder that accessibility is still a commercial and ethical failure point, and that customer-centricity only means something when it is connected to better journeys, better measures, and better understanding.

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Topics

• How AI can support insight, prioritisation, and access to data

• The 4 Rs of retention: resonance, relationships, understanding, and user reality

• Why CRO should connect behaviour data, conversion rate, revenue per visitor, and customer lifetime value

• Why context matters across physical, social, psychological and device settings

• How solution bias leads teams toward familiar fixes instead of root causes

• Why unusual practices can interrupt patterns and challenge groupthink

• What distributed experimentation culture needs

• Why accessibility remains urgent

• Why customer journey optimisation needs better CX-based measures

Best for

CRO practitioners, experimentation leads, UX researchers, product teams, digital strategists, accessibility advocates, and anyone trying to make optimisation more useful than “run more tests and hope the graph claps.”

Background

This piece sits alongside Abi’s wider work on UX, experimentation and upstream optimisation because many of the themes are not just about running better tests. They are about understanding the conditions that shape decisions in the first place: context, user reality, accessibility, customer journeys, AI-shaped insight, and the organisational culture needed to learn properly.

It connects particularly closely to the Corpus view that optimisation is strongest when it starts before the interface, with clearer evidence, better understanding, and fewer assumptions masquerading as strategy.