Masterclass: How to Measure Customer Sentiment
In this Masterclass, we’ll share best practice for measuring customer sentiment, the formats and channels to use, and how to maintain an effective, ongoing customer pulse check.
From running an NPS programme to leveraging AI-powered tools, we’ll explore how leading brands are measuring customer satisfaction – and why it matters.
In short – learn how to quickly understand what your customers think of you – and what you can do with these insights.
Tues 10 Feb
11-11:45 AM GMT
Zoom Webinar
Register now
Masterclass: How to Measure Customer Sentiment
In this Masterclass, we’ll share best practice for measuring customer sentiment, the formats and channels to use, and how to maintain an effective, ongoing customer pulse check.
Tue 10 Feb | 11am GMT | Zoom Webinar
Sign up to our webinar
From running an NPS programme to leveraging AI-powered tools, we’ll explore how leading brands are measuring customer satisfaction – and why it matters.
In short – learn how to quickly understand what your customers think of you – and what you can do with these insights.
Walk away with a clear plan for how to:
- Prioritise what you measure and avoid feedback fatigue
- Run an effective NPS programme that drives loyalty
- Use AI-powered insights to analyse sentiment at scale
- Apply sector-specific blueprints to get started quickly
You’ll hear from Feefo experts and special client guests, including Zac Chiswell, Operation Director at Discount Coffee, who will share the outstanding results they’ve achieved.
This is not a sales pitch—just actionable insights and real-world examples you can apply immediately to measure customer sentiment effectively. No matter what platform you use.
Who is this for?
Whether your business is new to customer sentiment, or you’re looking to optimise existing programmes, this Masterclass will give you practical examples of what works, a step-by-step guide to running an effective NPS programme, and sector-specific blueprints. Ideal for:
- Marketing Directors & CMOs
- Customer Experience Leaders
- Digital & E-commerce Managers
- Insights & Analytics Teams
Meet the speakers
Connor Wright
Head of Customer Success at Feefo
Connor leads the Customer Success team for mid-sized clients, and is passionate about providing more than just "support" - he is dedicated to advocacy and value. During his six years at Feefo, Connor has seen firsthand how powerful a customer's voice can be. Connor and his team work closely with Feefo clients to ensure they master Feefo's tools to achieve their goals, and thrive through the insights they uncover.
Charlie Newman
Data Product Manager at Feefo
Charlie takes a lead on developing Feefo's data products. Charlie combines a product focused mindset with analytics to transform raw information into actionable intelligence. By cutting through the noise of complex data, she provides the clarity clients need to drive informed business decisions through impactful strategies.
Zac Chiswell
Operations & Innovation Director at Discount Coffee
Zac Chiswell is the Operations & Innovation Director at Discount Coffee, bringing over seven years of retail experience and more than five years of hands-on leadership within the business. He has played a key role in scaling operations and driving continuous improvement, with a strong focus on customer experience. By actively leveraging Feefo reviews and customer feedback, Zac has helped shape service enhancements that strengthen trust, satisfaction, and long-term growth across the brand.
Agenda
Welcome & Introduction:
Connor Wright, Head of Customer Success at Feefo
Measuring customer sentiment:
Tools businesses use, how to prioritise what to measure and where, in order to get the best response rates
NPS - the ultimate litmus test:
How Discount Coffee have put NPS and customer satisfaction at the heart of their business, and the results they’ve achieved
AI-powered tools transforming sentiment analysis:
Charlie Newman, Data Product Manager at Feefo explains new and upcoming tools that give businesses deeper insights and enable sentiment analysis at scale