Consumers Switch after Poor Contact Centre Experience

British Businesses Lose Nearly £5 Billion due to Unplanned Customer Churn – New research shows 78% of UK consumers will switch vendors after a poor contact centre experience

Despite new UK regulations that encourage consumers to save money by changing suppliers, average customer churn increased by only 3.7% versus 2018, according to the 2020 CallMiner Churn Index.

While consumers are showing increased motivation to stay loyal, CallMiner’s study estimates that British businesses still lose £33.4 billioni per annum due to overall churn and £4.95 billion per annum due to unplanned churn.

Frank Sherlock, VP of International at CallMiner, said,

“Our research found that while UK consumers want to be more loyal and are less price-sensitive than in years past, brands continue to push customers away with poor service.”

“We estimate that UK businesses lose nearly £5 billion a year to unplanned churn.”

CallMiner surveyed 2,000 U.K. adults that have contacted a supplier over the past 12 months to understand what makes them stay loyal or switch.

Select research findings include:

–  Phone-based customer support increases. Despite the proliferation of self-service options, consumer reliance on phone-based customer support increased 15% since 2018.

– UK consumers put less weight on price. While price remains the number one driver of churn, it declined in importance by 4% from 2018, despite government programs that encourage price-based switching. Emotional factors relating to customer experience, loyalty and fair treatment increased in importance.

–  Contact centre performance drives both loyalty and churn. 84.1% of consumers are likely to stay loyal after a positive call centre experience; 78.4% are likely to switch after a bad call centre experience.

–  Super-agents shape customer emotions. 33.9% of customers had their emotional state change from negative to positive following their last call with a brand; 18% report having their emotional state shift because of poor agent behaviour.

Adam Walton, COO at CallMiner. said,

“The rise of self-service has made human support even more critical. Now more than ever, when customers call a provider, we expect one of two things: they are already frustrated due to a lack of information and online support, or they have a complex and sensitive issue. Both cases require emotionally intelligent ‘super-agents’ who can connect, solve problems and deliver exceptional service,”

“Customer service agents are on the front line, managing their own transition to working from home and facing significant new demands for help from customers where they are often the only human interaction between consumers and brands. Equipping agents to satisfy the needs of emotionally charged, and sometimes vulnerable, customers is essential for retention, loyalty and revenue.”

In terms of consumers’ preferred channels for customer support, website- and social media-based support declined 34% and 27%, respectively. Text message-based support grew the most since 2018 (+38%), followed by phone support (+14%).

While the average rate of churn experienced little change, some sectors saw significant increases. The highest churn rate increase of 102% was in the banking sector, which saw the number of customers switching more than double from 12.2% to 24.6%.

 

 

For more results and insights – including churn by industry, the most popular customer service channels, and the primary reasons why customers switch providers, download the full report – the 2020 CallMiner Churn index – Click Here

CallMiner is recognised as a leader in the speech analytics software industry, transforming your customer interactions with conversational insight to drive positive experiences and profound business change. Uniting with our customers and partners, our platform surfaces intelligence captured acro

ss your multiple communication channels and compels action that leads to improvement within and beyond the contact centre for customer experience, employee performance, compliance, security, fraud and interaction automation.

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