AI Customer Journey

Overview

This one-day course looks at using the latest AI tools for customer journey optimisation, including predictive analytics, sentiment analysis, personalised content strategies, chatbots, and conversion rate optimisation techniques. Key tools covered include SparkToro, Dynamic Yield, Adobe Target, Audiense, Orange, Kimola, Crayon, Midjourney, Stable Diffusion, IBM Watson, Marpipe and ChatGPT.

The course will cover:

• How predictive analytics can forecast customer behaviours
• Sentiment analysis tools to gauge customer sentiments
• Creating dynamic  content across customer touchpoints
• Using AI-driven chatbots for enhanced customer interaction
• AI techniques to boost conversion rates at critical stages

Who should attend?

This course is designed for marketers, CX specialists and business professionals seeking to leverage AI tools for optimising the customer journey.

Learning outcomes

• The role of AI in the customer journey: Emerging trends, ethics and key concepts of AI
• AI-Data Driven Audience Personas: Developing personas and applying personalisation to improve conversion through the customer journey
• AI-Driven Customer Segmentation: Use AI algorithms to segment customers, build insights from sentiment analysis and explore product-market fit
• Developing Dynamic Content: Create AI content across touchpoints ensuring relevance, and use AI-powered chatbots (and virtual assistants) to enhance retention and engagement
• Conversion Rate Optimisation (CRO): Apply AI-driven optimisation techniques to measure, test, predict and improve conversion rates and drive desired actions at crucial stages of the customer journey