Mystery Shopping


Customer Experience Publication

Customer Perspective: a podcast about CX and Channel Performance

Customer Perspective is a podcast exploring all things Customer Experience and Channel Performance. We publish new episodes every week/couple of weeks.
Customer Experience Publication

The Experience Perspective

The Experience Perspective is an Ipsos podcast and LinkedIn Live series covering everything from Customer and Employee Experience to Channel Performance.
Mystery Shopping Publication

Getting Started With Mystery Shopping

Discover Ipsos’s key ingredient to your CX and commercial success
Consumers Publication

Channel Performance Benchmark, Ipsos’ global Mystery Shopping KPI benchmark - now even more powerful

How do your physical, digital, and contact centre channels stack up against the competition? How is your customer service performing?
Housing Publication

Ipsos Update – February 2025

Trump, Housing, Shopping … Ipsos Update explores the latest and research & thinking on key topics from Ipsos teams around the world.
Mystery Shopping Publication

Demystifying Mystery Shopping

Why organisations use Mystery Shopping, and its role within Customer Experience Measurement research
Mystery Shopping Publication

Designing a ‘Smarter’ Mystery Shopping Programme

Seven steps to building a successful mystery shopping programme and increasing return on investment.
Sustainability Publication

Ipsos Update - May 2022

Happiness, Identity, and global reactions to the war in Ukraine are among the featured topics in this month’s edition. Also featured: our Earth Day 2022 reports, our latest white paper on regulating compliance and our post-election analysis from last month’s French presidential election.
Mystery Shopping Publication

Driving compliance at the frontline

This paper is recommended reading, by our Mystery Shopping experts, for any organisation – regulators and the regulated – interested in ensuring that frontline staff are adhering to regulatory standards and are treating customers fairly.