
Executive summary
- Australia telcos are no strangers to pressure, but they could face further squeezes in the coming months. The Australian government has proposed increasing fines for telcos not following industry codes and standards from AU$250k to AU$10m – a 3,900% increase. The Albanese government is also introducing new rules to block scam texts or warn recipients.
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We say
While the measures will improve customer service, these pressures will only increase what consumers expect. Brands that fall short will likely see huge hits to their Customer Effort Score in future waves, particularly in the Valuing the Customer pillar. Utilising AI to ensure consistent and compliant customer communications has never been so important, but brands can't afford to lose the human touch either.
- What will faster speeds mean for service expectations? The Australian government is investing a further AU$3bn to upgrade Australian’s network , providing faster and more reliable access to 622,000 premises by 2030.
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We say
An improvement in service across the market should result in fewer reasons for consumers to get in touch with their telco provider in the first place, but if customers are paying more, they’ll expect even higher standards and faster solutions when they do. ‘Knowledge & Expertise’ and ‘Speed of Resolving Problems’ will likely become even more important as the rollout takes effect.
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.
