企業遇到了棘手問題。消費者想要個性化互動,然而不愿提供品牌需要的個人信息。
這就是個性化悖論。如果公司想提供上佳的客戶體驗,應對這一困境就必須謹慎。
在2025年《Qualtrics消費者趨勢報告》中,核心內容之一便是個性化和隱私之間的緊張關系,該報告調查了23個國家近24000名消費者。三分之二(64%)受訪者表示,更喜歡從能提供個性化互動的公司購物。然而,對于企業未經同意利用數據實現個性化,只有27%的消費者沒有異議。
用戶不愿共享數據的原因在于,或許受到數據泄露和數據濫用廣泛傳播的影響,只有33%消費者相信企業會負責任地使用個人信息。
信任是一種貨幣
如果品牌充分了解消費者偏好,能提供定制化體驗,互動也個性化,則消費者購物可能性更高。原因顯而易見:個性化推薦讓購物更方便,內容更相關,整體體驗更愉快。
解決個性化悖論的核心是信任。個性化依賴獲取消費者數據,但信任是決定消費者是否愿意分享相關數據的貨幣。
消費者越信任某個品牌,樂意分享個人信息的可能性就越高。不過根據該報告調查,只有一半消費者對公司利用其購物歷史打造個性化體驗感到滿意。相信公司使用其網站訪問、聊天機器人互動和客戶服務電話提供定制服務的人則更少,因此企業要正視并解決這一差距。
建立信任始于透明度。消費者想知道正在收集哪些數據,如何使用數據,以及可能有什么回報。對數據實踐持開放和坦率態度的品牌獲得消費者信任機會更大。具體做法包括把選擇權交給消費者,讓他們選擇參與數據收集并個性化設置偏好,而不會感到受到脅迫。
實現個性化的三種方法
隨著消費者對自身數據越發重視,企業必須找到新方法滿足對個性化體驗的期望:
以同意為前提收集數據。該方法重視消費者的控制權,他們能決定共享哪些信息以及如何使用。通過提供相關選項,企業可以將消費者直接反饋的意見與其他數據源相結合,加深與消費者的關系,提供有意義的個性化服務。
零方數據——即消費者愿意向公司提供的信息。第三方數據通常是在消費者不知情的情況下收集和共享的數據,與之不同,零方數據由消費者明確分享。如此不僅能確保遵守數據保護法規,也能通過讓消費者控制信息建立信任。零方數據的例子包括客戶的郵件、電話號碼和忠誠度計劃信息等。
分析客戶行為模式的人工智能(AI)工具。基于人工智能的推薦引擎無需訪問敏感的個人數據,就能根據消費者的購買歷史定制產品建議。
實現實時洞察后,通信技術公司Lumen能根據客戶特定需求和最近經歷量身定制與客戶互動。現在呼叫中心客服能看到客戶健康評分,該評分每天都會根據實時運營輸入波動。平臺從二十多個來源獲取客戶互動和服務績效等數據。洞察加深后,坐席人員與客戶溝通時能做到更有的放矢,也更有同理心。因此,Lumen已經超越客戶體驗(CX)瓶頸,凈推薦值得分(NPS)同比激增17分。Lumen是Qualtrics客戶之一。
個性化還是隱私?答案應該是兼而有之。
品牌不應該假定不刻意挽留客戶時,客戶仍會保持忠誠。
接受調查的消費者都明確表示,履行基本承諾最重要。他們希望能相信企業的承諾。公司新舉措可能會考驗用戶的舒適區,因此堅持基礎承諾至關重要。
面臨消費者充滿期望的新時代,如果企業想保持客戶信任和忠誠度,就要解決個性化悖論。
個性化和隱私不應相互排斥。只要找到合適的方法,公司就能在尊重隱私的前提下提供消費者想要的定制化體驗。
這不僅是為了滿足當前消費者的期望,也是為未來做好準備。隨著個性化需求增長,人們只會更加期待企業以合乎道德和透明的方式管理其數據。(財富中文網)
Qualtrics是《財富》科技頭腦風暴大會贊助商。伊莎貝爾·茲達特尼(Isabelle Zdatny)是Qualtrics XM研究所思想領導力負責人。
譯者:馮豐
審校:夏林
企業遇到了棘手問題。消費者想要個性化互動,然而不愿提供品牌需要的個人信息。
這就是個性化悖論。如果公司想提供上佳的客戶體驗,應對這一困境就必須謹慎。
在2025年《Qualtrics消費者趨勢報告》中,核心內容之一便是個性化和隱私之間的緊張關系,該報告調查了23個國家近24000名消費者。三分之二(64%)受訪者表示,更喜歡從能提供個性化互動的公司購物。然而,對于企業未經同意利用數據實現個性化,只有27%的消費者沒有異議。
用戶不愿共享數據的原因在于,或許受到數據泄露和數據濫用廣泛傳播的影響,只有33%消費者相信企業會負責任地使用個人信息。
信任是一種貨幣
如果品牌充分了解消費者偏好,能提供定制化體驗,互動也個性化,則消費者購物可能性更高。原因顯而易見:個性化推薦讓購物更方便,內容更相關,整體體驗更愉快。
解決個性化悖論的核心是信任。個性化依賴獲取消費者數據,但信任是決定消費者是否愿意分享相關數據的貨幣。
消費者越信任某個品牌,樂意分享個人信息的可能性就越高。不過根據該報告調查,只有一半消費者對公司利用其購物歷史打造個性化體驗感到滿意。相信公司使用其網站訪問、聊天機器人互動和客戶服務電話提供定制服務的人則更少,因此企業要正視并解決這一差距。
建立信任始于透明度。消費者想知道正在收集哪些數據,如何使用數據,以及可能有什么回報。對數據實踐持開放和坦率態度的品牌獲得消費者信任機會更大。具體做法包括把選擇權交給消費者,讓他們選擇參與數據收集并個性化設置偏好,而不會感到受到脅迫。
實現個性化的三種方法
隨著消費者對自身數據越發重視,企業必須找到新方法滿足對個性化體驗的期望:
以同意為前提收集數據。該方法重視消費者的控制權,他們能決定共享哪些信息以及如何使用。通過提供相關選項,企業可以將消費者直接反饋的意見與其他數據源相結合,加深與消費者的關系,提供有意義的個性化服務。
零方數據——即消費者愿意向公司提供的信息。第三方數據通常是在消費者不知情的情況下收集和共享的數據,與之不同,零方數據由消費者明確分享。如此不僅能確保遵守數據保護法規,也能通過讓消費者控制信息建立信任。零方數據的例子包括客戶的郵件、電話號碼和忠誠度計劃信息等。
分析客戶行為模式的人工智能(AI)工具。基于人工智能的推薦引擎無需訪問敏感的個人數據,就能根據消費者的購買歷史定制產品建議。
實現實時洞察后,通信技術公司Lumen能根據客戶特定需求和最近經歷量身定制與客戶互動。現在呼叫中心客服能看到客戶健康評分,該評分每天都會根據實時運營輸入波動。平臺從二十多個來源獲取客戶互動和服務績效等數據。洞察加深后,坐席人員與客戶溝通時能做到更有的放矢,也更有同理心。因此,Lumen已經超越客戶體驗(CX)瓶頸,凈推薦值得分(NPS)同比激增17分。Lumen是Qualtrics客戶之一。
個性化還是隱私?答案應該是兼而有之。
品牌不應該假定不刻意挽留客戶時,客戶仍會保持忠誠。
接受調查的消費者都明確表示,履行基本承諾最重要。他們希望能相信企業的承諾。公司新舉措可能會考驗用戶的舒適區,因此堅持基礎承諾至關重要。
面臨消費者充滿期望的新時代,如果企業想保持客戶信任和忠誠度,就要解決個性化悖論。
個性化和隱私不應相互排斥。只要找到合適的方法,公司就能在尊重隱私的前提下提供消費者想要的定制化體驗。
這不僅是為了滿足當前消費者的期望,也是為未來做好準備。隨著個性化需求增長,人們只會更加期待企業以合乎道德和透明的方式管理其數據。(財富中文網)
Qualtrics是《財富》科技頭腦風暴大會贊助商。伊莎貝爾·茲達特尼(Isabelle Zdatny)是Qualtrics XM研究所思想領導力負責人。
譯者:馮豐
審校: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.