企业遇到了棘手问题。消费者想要个性化互动,然而不愿提供品牌需要的个人信息。
这就是个性化悖论。如果公司想提供上佳的客户体验,应对这一困境就必须谨慎。
在2025年《Qualtrics消费者趋势报告》中,核心内容之一便是个性化和隐私之间的紧张关系,该报告调查了23个国家近24000名消费者。三分之二(64%)受访者表示,更喜欢从能提供个性化互动的公司购物。然而,对于企业未经同意利用数据实现个性化,只有27%的消费者没有异议。
用户不愿共享数据的原因在于,或许受到数据泄露和数据滥用广泛传播的影响,只有33%消费者相信企业会负责任地使用个人信息。
信任是一种货币
如果品牌充分了解消费者偏好,能提供定制化体验,互动也个性化,则消费者购物可能性更高。原因显而易见:个性化推荐让购物更方便,内容更相关,整体体验更愉快。
解决个性化悖论的核心是信任。个性化依赖获取消费者数据,但信任是决定消费者是否愿意分享相关数据的货币。
消费者越信任某个品牌,乐意分享个人信息的可能性就越高。不过根据该报告调查,只有一半消费者对公司利用其购物历史打造个性化体验感到满意。相信公司使用其网站访问、聊天机器人互动和客户服务电话提供定制服务的人则更少,因此企业要正视并解决这一差距。
建立信任始于透明度。消费者想知道正在收集哪些数据,如何使用数据,以及可能有什么回报。对数据实践持开放和坦率态度的品牌获得消费者信任机会更大。具体做法包括把选择权交给消费者,让他们选择参与数据收集并个性化设置偏好,而不会感到受到胁迫。
实现个性化的三种方法
随着消费者对自身数据越发重视,企业必须找到新方法满足对个性化体验的期望:
以同意为前提收集数据。该方法重视消费者的控制权,他们能决定共享哪些信息以及如何使用。通过提供相关选项,企业可以将消费者直接反馈的意见与其他数据源相结合,加深与消费者的关系,提供有意义的个性化服务。
零方数据——即消费者愿意向公司提供的信息。第三方数据通常是在消费者不知情的情况下收集和共享的数据,与之不同,零方数据由消费者明确分享。如此不仅能确保遵守数据保护法规,也能通过让消费者控制信息建立信任。零方数据的例子包括客户的邮件、电话号码和忠诚度计划信息等。
分析客户行为模式的人工智能(AI)工具。基于人工智能的推荐引擎无需访问敏感的个人数据,就能根据消费者的购买历史定制产品建议。
实现实时洞察后,通信技术公司Lumen能根据客户特定需求和最近经历量身定制与客户互动。现在呼叫中心客服能看到客户健康评分,该评分每天都会根据实时运营输入波动。平台从二十多个来源获取客户互动和服务绩效等数据。洞察加深后,坐席人员与客户沟通时能做到更有的放矢,也更有同理心。因此,Lumen已经超越客户体验(CX)瓶颈,净推荐值得分(NPS)同比激增17分。Lumen是Qualtrics客户之一。
个性化还是隐私?答案应该是兼而有之。
品牌不应该假定不刻意挽留客户时,客户仍会保持忠诚。
接受调查的消费者都明确表示,履行基本承诺最重要。他们希望能相信企业的承诺。公司新举措可能会考验用户的舒适区,因此坚持基础承诺至关重要。
面临消费者充满期望的新时代,如果企业想保持客户信任和忠诚度,就要解决个性化悖论。
个性化和隐私不应相互排斥。只要找到合适的方法,公司就能在尊重隐私的前提下提供消费者想要的定制化体验。
这不仅是为了满足当前消费者的期望,也是为未来做好准备。随着个性化需求增长,人们只会更加期待企业以合乎道德和透明的方式管理其数据。(财富中文网)
Qualtrics是《财富》科技头脑风暴大会赞助商。伊莎贝尔·兹达特尼(Isabelle Zdatny)是Qualtrics XM研究所思想领导力负责人。
译者:冯丰
审校:夏林
企业遇到了棘手问题。消费者想要个性化互动,然而不愿提供品牌需要的个人信息。
这就是个性化悖论。如果公司想提供上佳的客户体验,应对这一困境就必须谨慎。
在2025年《Qualtrics消费者趋势报告》中,核心内容之一便是个性化和隐私之间的紧张关系,该报告调查了23个国家近24000名消费者。三分之二(64%)受访者表示,更喜欢从能提供个性化互动的公司购物。然而,对于企业未经同意利用数据实现个性化,只有27%的消费者没有异议。
用户不愿共享数据的原因在于,或许受到数据泄露和数据滥用广泛传播的影响,只有33%消费者相信企业会负责任地使用个人信息。
信任是一种货币
如果品牌充分了解消费者偏好,能提供定制化体验,互动也个性化,则消费者购物可能性更高。原因显而易见:个性化推荐让购物更方便,内容更相关,整体体验更愉快。
解决个性化悖论的核心是信任。个性化依赖获取消费者数据,但信任是决定消费者是否愿意分享相关数据的货币。
消费者越信任某个品牌,乐意分享个人信息的可能性就越高。不过根据该报告调查,只有一半消费者对公司利用其购物历史打造个性化体验感到满意。相信公司使用其网站访问、聊天机器人互动和客户服务电话提供定制服务的人则更少,因此企业要正视并解决这一差距。
建立信任始于透明度。消费者想知道正在收集哪些数据,如何使用数据,以及可能有什么回报。对数据实践持开放和坦率态度的品牌获得消费者信任机会更大。具体做法包括把选择权交给消费者,让他们选择参与数据收集并个性化设置偏好,而不会感到受到胁迫。
实现个性化的三种方法
随着消费者对自身数据越发重视,企业必须找到新方法满足对个性化体验的期望:
以同意为前提收集数据。该方法重视消费者的控制权,他们能决定共享哪些信息以及如何使用。通过提供相关选项,企业可以将消费者直接反馈的意见与其他数据源相结合,加深与消费者的关系,提供有意义的个性化服务。
零方数据——即消费者愿意向公司提供的信息。第三方数据通常是在消费者不知情的情况下收集和共享的数据,与之不同,零方数据由消费者明确分享。如此不仅能确保遵守数据保护法规,也能通过让消费者控制信息建立信任。零方数据的例子包括客户的邮件、电话号码和忠诚度计划信息等。
分析客户行为模式的人工智能(AI)工具。基于人工智能的推荐引擎无需访问敏感的个人数据,就能根据消费者的购买历史定制产品建议。
实现实时洞察后,通信技术公司Lumen能根据客户特定需求和最近经历量身定制与客户互动。现在呼叫中心客服能看到客户健康评分,该评分每天都会根据实时运营输入波动。平台从二十多个来源获取客户互动和服务绩效等数据。洞察加深后,坐席人员与客户沟通时能做到更有的放矢,也更有同理心。因此,Lumen已经超越客户体验(CX)瓶颈,净推荐值得分(NPS)同比激增17分。Lumen是Qualtrics客户之一。
个性化还是隐私?答案应该是兼而有之。
品牌不应该假定不刻意挽留客户时,客户仍会保持忠诚。
接受调查的消费者都明确表示,履行基本承诺最重要。他们希望能相信企业的承诺。公司新举措可能会考验用户的舒适区,因此坚持基础承诺至关重要。
面临消费者充满期望的新时代,如果企业想保持客户信任和忠诚度,就要解决个性化悖论。
个性化和隐私不应相互排斥。只要找到合适的方法,公司就能在尊重隐私的前提下提供消费者想要的定制化体验。
这不仅是为了满足当前消费者的期望,也是为未来做好准备。随着个性化需求增长,人们只会更加期待企业以合乎道德和透明的方式管理其数据。(财富中文网)
Qualtrics是《财富》科技头脑风暴大会赞助商。伊莎贝尔·兹达特尼(Isabelle Zdatny)是Qualtrics XM研究所思想领导力负责人。
译者:冯丰
审校:夏林
Businesses have a problem. Consumers want personalized interactions. But the same consumers are unwilling to give up the personal details brands need to deliver them.
This is the personalization paradox. It’s a dilemma companies must navigate carefully if they want to be known for great customer experience.
This tension between personalization and privacy is one of the key insights from the Qualtrics 2025 Consumer Trends Report, which surveyed nearly 24,000 consumers across 23 countries. Two-thirds (64%) of respondents said they prefer to buy from companies that personalize their interactions. Yet only 27% are comfortable with organizations using unsolicited data to achieve that level of customization.
This reluctance to share data is driven by the finding that only 33% of consumers trust companies to use the personal information they’ve shared responsibly, a reality that was likely influenced by high-profile data breaches and instances where data was misused.
Trust as Currency
Consumers are more likely to buy from brands that understand their preferences, deliver experiences that feel bespoke, and personalize their interactions. It’s easy to see why: Personalization can make shopping more convenient, content more relevant, and overall experiences more enjoyable.
At the heart of solving the personalization paradox issue is trust. Personalization relies on access to consumer’s data, but trust is the currency that determines whether consumers are willing to share that data.
The more a consumer trusts a brand, the more likely they are to feel comfortable with sharing personal information. But only half are comfortable with companies using their purchase history to create personalized experiences, according to the report’s survey. Even fewer trust companies to use their website visits, chat bot interactions, and phone calls to customer service to tailor services to their needs, leaving a significant gap for businesses to address.
Building trust starts with transparency. Consumers want to know what data is being collected, how it’s being used, and what they can expect in return. Brands that are open and upfront about their data practices are more likely to gain consumer trust. This means giving consumers control by allowing them to opt-in to data collection and personalize their preferences without feeling coerced.
Three Ways to Make Personalization Possible
As consumers grow more protective of their data, businesses must find new ways to meet their expectations for personalized experiences:
Consent-driven data collection. This approach prioritizes consumer control, giving them the ability to decide what information they share and how it will be used. By providing these options, businesses can combine direct consumer input with other data sources to deepen relationships with consumers and provide meaningful personalization.
Zero-party data—information that consumers willingly provide to a company. Unlike third-party data, which is often collected and shared without a consumer’s direct knowledge, zero-party data is shared explicitly by the consumer. This not only ensures compliance with data protection regulations but also builds trust by giving consumers control. Examples of zero-party data include customer emails, phone numbers and loyalty program information.
Artificial intelligence (AI) tools to analyze customer behavior patterns. AI-powered recommendation engines can tailor product suggestions based on a consumer’s purchase history without needing access to sensitive personal data.
Real-time insights enabled Lumen, a communications technology company, to tailor its interactions with customers based on their specific needs and recent experiences. Call-center agents can now see a Customer Health Score that fluctuates daily based on real-time operational inputs. The platform pulls data from more than two dozen sources like customer interactions and service performance. The added insights enable agents to communicate with greater relevance, as well as empathy. As a result, Lumen has pushed past its customer asxperience (CX) plateau, enjoying a 17-point surge in year-over-year net promoter score (NPS). Lumen is a Qualtrics Customer.
Personalization or Privacy? The answer should be both.
Brands should not assume existing customers will stay loyal without intentional effort to keep them.
Consumers surveyed were clear that following through on basic commitments carries the most weight. They want to be able to trust what a business tells them. New company initiatives may test comfort zones, so it is essential to have the basics in place and uphold them.
In this new era of consumer expectations, businesses will need to solve the personalization paradox if they want to retain customer trust and loyalty.
Personalization and privacy should not be mutually exclusive. With the right approach, companies can provide the tailored experiences consumers want while respecting their privacy.
This isn’t just about meeting current consumer expectations today—it’s about preparing for the future. As the demand for personalization grows, so too will the expectation for businesses to manage it in a way that is both ethical and transparent.
Qualtrics is a sponsor of the Fortune Brainstorm Tech conference. Isabelle Zdatny is the Head of Thought Leadership for Qualtrics XM Institute.