- Traditional banks beware. While Monzo has dropped from sixth to eighth place this quarter, this is as an anomaly as far as the digital banks are concerned. Revolut and Starling are now firm contenders for Customer Effort.
Financial Services in the UK
- Sector average score 59
- Knowledge & Expertise 62
- Style of Communication 65
- Speed of Resolving Problems 62
- Valuing the Customer 63
It’s four straight quarters at the top for Nationwide and – with an Overall Effort Score of 68 – it’s not just the highest score in the UK Financial Services table, it’s the highest score across all markets the CEI monitors.
First Direct similarly has held second place for four quarters, but its Overall Effort Score has dipped slightly this wave, widening the gap with Nationwide.
Lloyds has also held third place for the second quarter running.
The CEI tells a a positive story for two of the digital banks we monitor. Starling is now at fourth place, lapping Santander. It has increased its Effort Score every quarter in 2024, rising from 11th place a the start of the year – making it one of the biggest improvers seen across all our rankings.
Revolut, which started this year in last place (16th) is now at 13th, just ahead of RBS and Metro Bank
The Performance Tracker was designed for viewing on larger screens. Please revert to desktop viewing for optimal user experience.
Customer Effort Scores for the quarter are presented in the rankings, ordered by highest Overall Effort Score first, to show which brand scored highest with its customers for that period. Individual brand ratings against the four pillars take us underneath that Overall Effort Score, with brand-specific explanatory analysis from the CEI Editorial team.
You can use the display above to toggle between score, ranking and individual pillars. Clicking 'Performance Tracker' enables you to analyse the performance over time.
The Customer Effort Index is calculated using a self-referential scale that is recomputed every wave based on what the minimum and maximum values are. This enables us to see how each brand is performing compared to the others within the data set. See About for more on the methodology.