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    Home»News»Customers remain cynical of AI
    Artificial Intelligence

    Customers remain cynical of AI

    CXFocus EditorBy CXFocus EditorMay 8, 2023No Comments3 Mins Read0 Views
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    Businesses worldwide are eagerly embracing the potential for artificial intelligence (AI) to provide personalised customer experiences, but customers remain cynical, according to the fourth annual State of Personalisation Report from Twilio , the customer engagement platform that drives real-time, personalised experiences for today’s leading brands. 

    This year’s report underscores the value of an AI-driven personalisation strategy for brands looking to both retain existing customers and acquire new ones, especially in today’s competitive market. Sixty-two percent of business leaders cite customer retention as a top benefit of personalisation, while nearly 60% say personalisation is an effective strategy for acquiring new customers. Consumers also increasingly confirm the value of personalisation, with 56% saying they will become repeat buyers after a personalised experience, a 7% lift from last year’s report. These findings clearly point to a growing opportunity to build customer loyalty and lifetime value by engaging consumers with tailored experiences. During this time of uncertainty in the macro economic climate, businesses shouldn’t let potential ROI like this pass them by.  

    The report also shines a light on how a staggering amount of businesses are experimenting with AI to differentiate and drive business growth, but it also provides guidance on how to get this right, starting with the critical need to raise consumer confidence in the technology. 

    Stark disconnect in AI confidence 

    To power even more sophisticated real-time customer experiences, the vast majority of businesses are turning to AI to harness high volumes of real-time data and power their personalisation efforts. According to the report, 92% of businesses are now using AI-driven personalisation to drive business growth. However, a disconnect exists between this enthusiasm and the comfort level of consumers: only 41% of consumers are comfortable with companies using AI to personalise their experiences, and only half (51%) of consumers trust brands to keep their personal data secure and use it responsibly.  

    To effectively leverage intelligence technology in a way that strikes a balance with the current comfort level of consumers, businesses must first establish a baseline of trust about the data used to deliver that personalisation. 

    “Today’s consumers are savvier than ever, and their demand for real-time, personalised experiences is growing by the day. More than ever before, we’re hearing and seeing that customer loyalty hinges on effective personalisation,” says Katrina Wong, VP of Marketing at Twilio Segment. “While our report shows that businesses are racing to implement AI-powered personalisation, and reaping benefits like boosting customer lifetime value as a result, it’s crucial they don’t overlook the importance of trust and transparency. Informed by real-time, first-party data that’s utilised thoughtfully and responsibly, AI has the potential to augment and enhance the toolkit of every marketer and CX professional in the industry, and to usher in a category of next generation, fine-tuned, customer experiences that drive sustainable growth.” 

    Quality and privacy: Getting AI-driven personalisation right 

    AI-driven personalisation is only as good as its underlying dataset, and without robust data, customer experiences will likely miss the mark for consumers. It’s a real challenge: half of companies report that getting accurate data for personalisation is a struggle, an increase of ten percentage points compared to 2022, and 31% of businesses cite poor quality data as a major obstacle in leveraging AI. Meanwhile, accuracy (47%), speed of real-time data (44%), and customer retention or repeat purchases (44%) were the top metrics of successful AI-driven personalisation. 

    To improve AI results and personalisation overall, companies need to invest in data quality, leveraging effective, real-time data management tools, and continuing to increase their use of first-party data.  

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