This statistic shows the most successful e-commerce personalization techniques worldwide as of June 2017, based on average uplift in revenue-per-visitor (RPV). The findings show that scarcity techniques, which highlight items that are low in stock, ranked first with an average uplift in revenue-per-visitor reaching 2.9 percent.
Most successful e-commerce marketing personalization techniques worldwide as of June 2017, based on average uplift in revenue-per-visitor (RPV)
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Statistics on Marketing personalization in the United States
Overview
4
- Premium Statistic CX personalization & optimization revenue worldwide 2020-2026
- Premium Statistic Level of integration of personalization technology within tech stacks worldwide 2021
- Premium Statistic Success of personalization among businesses worldwide 2021
- Premium Statistic Leading approaches to content-led communications worldwide 2022
Marketer insights
6
- Premium Statistic Leading marketing priorities according to U.S. CMOs 2021
- Premium Statistic Leading technologies planned to be deployed by marketers in the U.S. 2021
- Premium Statistic Share of content personalized for customers among U.S. organizations 2021
- Premium Statistic B2C revenue derived from personalization in the U.S. 2021, by company type
- Premium Statistic Leading motivations of U.S. marketers to work with retail media networks 2021
- Premium Statistic Impact of cookie deprecation on consumers in the U.S. 2020
Consumer insights
8
- Premium Statistic Consumer attitude to ads of selected products and service types in the U.S. 2022
- Premium Statistic Consumer expectations of advertising in the U.S. 2021
- Premium Statistic Attitude towards personalized ads in the U.S. 2022
- Premium Statistic Marketing technologies seen as favorable by consumers in the U.S. 2021
- Premium Statistic Share of U.S. consumers who expect personalized content 2021
- Premium Statistic Importance of marketing personalization for consumers in the U.S. 2021
- Premium Statistic Impact of personalization on future online shopping behavior in the U.S. 2022
- Premium Statistic Factors driving Gen Z engagement with new brands on social media in the U.S. 2022
Data usage
8
- Premium Statistic U.S. marketing data spend 2017-2021
- Premium Statistic Leading purposes of intent data according to marketers in the U.S. 2022
- Premium Statistic Benefits motivating consumers towards loyalty programs in the U.S. 2022
- Premium Statistic Consumers comfortable sharing data to create personalized ads in North America 2021
- Premium Statistic Data consumers share to get personalized ads in the U.S. 2021
- Premium Statistic Information advertisers can use to target ads in the U.S. 2022
- Premium Statistic Leading ways brands' actions with data can improve consumer trust in the U.S. 2022
- Premium Statistic Attractiveness of incentives to share personal data in North America 2021
Further related statistics
12
- KPIs of personalized vs. non-personalized e-mails in the U.S. 2017
- Average order value of AI personalized marketing e-mails in the U.S. 2018
- Effect of relevant content personalization on consumer view of brands U.S. 2016
- Companies U.S. consumers view as best at personalizing online experiences 2016
- Satisfaction with product recommendations in the U.S. 2016, by age
- Noticeability of purchase history based product recommendations in the U.S. 2016
- Personalization in marketing - ways of using data 2016
- Importance of marketing personalization for consumers in the U.S. 2021
- Satisfaction with purchase history based product recommendations in the U.S. 2016
- Consumer opinions online - advertising effectiveness in Q1 2013, by region
- U.S. interest in mobile shopping recommendations from selected companies 2017, gender
- Effectiveness of various mobile marketing tactics in Australia in 2012
Further Content: You might find this interesting as well
Statistics
- KPIs of personalized vs. non-personalized e-mails in the U.S. 2017
- Average order value of AI personalized marketing e-mails in the U.S. 2018
- Effect of relevant content personalization on consumer view of brands U.S. 2016
- Companies U.S. consumers view as best at personalizing online experiences 2016
- Satisfaction with product recommendations in the U.S. 2016, by age
- Noticeability of purchase history based product recommendations in the U.S. 2016
- Personalization in marketing - ways of using data 2016
- Importance of marketing personalization for consumers in the U.S. 2021
- Satisfaction with purchase history based product recommendations in the U.S. 2016
- Consumer opinions online - advertising effectiveness in Q1 2013, by region
- U.S. interest in mobile shopping recommendations from selected companies 2017, gender
- Effectiveness of various mobile marketing tactics in Australia in 2012
MarketingCharts. (July 14, 2017). Most successful e-commerce marketing personalization techniques worldwide as of June 2017, based on average uplift in revenue-per-visitor (RPV) [Graph]. In Statista. Retrieved March 30, 2023, from https://www.statista.com/statistics/809873/top-performing-e-commerce-personalization-techniques/
MarketingCharts. "Most successful e-commerce marketing personalization techniques worldwide as of June 2017, based on average uplift in revenue-per-visitor (RPV)." Chart. July 14, 2017. Statista. Accessed March 30, 2023. https://www.statista.com/statistics/809873/top-performing-e-commerce-personalization-techniques/
MarketingCharts. (2017). Most successful e-commerce marketing personalization techniques worldwide as of June 2017, based on average uplift in revenue-per-visitor (RPV). Statista. Statista Inc.. Accessed: March 30, 2023. https://www.statista.com/statistics/809873/top-performing-e-commerce-personalization-techniques/
MarketingCharts. "Most Successful E-commerce Marketing Personalization Techniques Worldwide as of June 2017, Based on Average Uplift in Revenue-per-visitor (Rpv)." Statista, Statista Inc., 14 Jul 2017, https://www.statista.com/statistics/809873/top-performing-e-commerce-personalization-techniques/
MarketingCharts, Most successful e-commerce marketing personalization techniques worldwide as of June 2017, based on average uplift in revenue-per-visitor (RPV) Statista, https://www.statista.com/statistics/809873/top-performing-e-commerce-personalization-techniques/ (last visited March 30, 2023)
Most successful e-commerce marketing personalization techniques worldwide as of June 2017, based on average uplift in revenue-per-visitor (RPV) [Graph], MarketingCharts, July 14, 2017. [Online]. Available: https://www.statista.com/statistics/809873/top-performing-e-commerce-personalization-techniques/