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Technology Retail in the UK

Sector average score

White star

62

Knowledge & Expertise

61

Style of Communication

65

Speed of Resolving Problems

60

Valuing the Customer

64

We no longer have an outright leader in the Technology Retail in the UK table. Apple and Samsung are deadlocked with an Overall Effort Score of 66.

It marks the first time that Apple has been at the top of the charts since we began running the Customer Effort Index.

Elsewhere, HP has added +3 to its Overall Effort Score to take joint fourth alongside Amazon, while Curry’s PC World has added +2 to rank in seventh alongside Argos.

Rankings

The Rankings

Performance Tracker

Performance Tracker

Rank

1

Knowledge & Expertise

66

Style of Communication

68

Speed of Resolving Problems

63

Valuing the Customer

67

1

Knowledge & Expertise

64

Style of Communication

67

Speed of Resolving Problems

64

Valuing the Customer

68

3

Knowledge & Expertise

63

Style of Communication

67

Speed of Resolving Problems

63

Valuing the Customer

68

4

Knowledge & Expertise

61

Style of Communication

63

Speed of Resolving Problems

61

Valuing the Customer

66

4

Knowledge & Expertise

61

Style of Communication

65

Speed of Resolving Problems

62

Valuing the Customer

66

6

Knowledge & Expertise

60

Style of Communication

64

Speed of Resolving Problems

57

Valuing the Customer

63

7

Knowledge & Expertise

57

Style of Communication

63

Speed of Resolving Problems

59

Valuing the Customer

62

7

Knowledge & Expertise

56

Style of Communication

64

Speed of Resolving Problems

57

Valuing the Customer

59

9

Knowledge & Expertise

57

Style of Communication

60

Speed of Resolving Problems

53

Valuing the Customer

58

Effort

i

X

Effort

The Overall Effort Score is calculated using modelling on the results recorded in each of the four pillars

66

66

65

63

63

61

59

59

57

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Knowledge & Expertise

i

X

Knowledge & Expertise

Having knowledgable customer service agents that can clearly explain details to customers impacts the score in the ‘Knowledge & Expertise’ pillar

66

64

63

61

61

60

57

56

57

Style of Commun-
ication

i

X

Style of Communication

How polite customer service staff are and whether they can communicate in a customers’ chosen language contribute to ‘Style of Communication’ 

68

67

67

63

65

64

63

64

60

Speed of Resolving Problems

i

X

Speed of Resolving Problems

A quick resolution and short holding times ensure a strong ‘Speed Solving the Problem’ score

63

64

63

61

62

57

59

57

53

Valuing the Customer

i

X

Valuing the Customer

Companies that make their customers feel valued and understand their needs perform well in the ‘Understanding & Valuing the Customer’ pillar

67

68

68

66

66

63

62

59

58

NPS

i

X

NPS

NPS scores can be used to compare and contrast with Effort for an additional perspective

27

35

2

4

48

-9

11

4

18

+

+

+

+

+

+

+

+

+

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Last updated: Apr 2025

Next update: Jul 2025

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Executive summary

  • How can Technology Retail brands differentiate in ‘Style of Communication’? Eight points make up the different between first and last in this table.
  • We say

    When it comes to ’Style of Communication’, politeness and the range of languages available to non-English speakers are the main contributors where brands can stand out. CX leaders within their businesses should ask themselves whether they’re doing all they can across human and automated agents to perform against this pillar.

How to use the Customer Effort Index

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. 

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