In a March 2020 survey of marketers in the United States, gauging their usage of personalization, it was found that the use of machine learning or algorithmic approach to personalization was growing in popularity among respondents. In 2018, 26 percent of survey participants said they used machine learning for personalization, while in 2020 this share grew to 46 percent. At the same time triggered messages maintained a fairy steady usage rate over the three years.
Leading approaches to personalization used by marketing professionals in the United States from 2018 to 2020
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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
20
- U.S. consumer expected personalized experiences in exchange for personal data 2017
- Number of personalized message versions created for a given campaign worldwide 2016
- Impact of personalization on future online shopping behavior in the U.S. 2022
- Companies doing well at personalization offline in the U.S. 2017
- North American consumer preference of retail personalization form 2017, by gender
- North American consumer preference of retail personalization form 2017, by age group
- Awareness of personalized marketing Japan 2019
- Share of marketers personalizing by age in the U.S. 2017, by channel
- U.S. consumer view of successful offline personalization use 2017, by industry
- Attitude on the use of online activities for personalized marketing Japan 2019
- Attitude on the use of one's purchase history for personalized marketing Japan 2019
- Factors that determine interest in personalized marketing Japan 2019
- Attitude on sharing personal data for personalized marketing Japan 2019
- Awareness of personalized marketing Japan 2019, by age group
- Most effective personalization strategies in the U.S. 2017
- Colombia: number of campaigns by Instagram influencers 2020
- Digital video ad spend growth in France 2020-2021
- Digital Holdings' number of employees FY 2016-2021
- Attitudes towards online advertising in China 2022
- Industry revenue of “manufacture of grain mill products“ in Belgium 2012-2025
Further Content: You might find this interesting as well
Statistics
- U.S. consumer expected personalized experiences in exchange for personal data 2017
- Number of personalized message versions created for a given campaign worldwide 2016
- Impact of personalization on future online shopping behavior in the U.S. 2022
- Companies doing well at personalization offline in the U.S. 2017
- North American consumer preference of retail personalization form 2017, by gender
- North American consumer preference of retail personalization form 2017, by age group
- Awareness of personalized marketing Japan 2019
- Share of marketers personalizing by age in the U.S. 2017, by channel
- U.S. consumer view of successful offline personalization use 2017, by industry
- Attitude on the use of online activities for personalized marketing Japan 2019
- Attitude on the use of one's purchase history for personalized marketing Japan 2019
- Factors that determine interest in personalized marketing Japan 2019
- Attitude on sharing personal data for personalized marketing Japan 2019
- Awareness of personalized marketing Japan 2019, by age group
- Most effective personalization strategies in the U.S. 2017
- Colombia: number of campaigns by Instagram influencers 2020
- Digital video ad spend growth in France 2020-2021
- Digital Holdings' number of employees FY 2016-2021
- Attitudes towards online advertising in China 2022
- Industry revenue of “manufacture of grain mill products“ in Belgium 2012-2025
Evergage. (April 22, 2020). Leading approaches to personalization used by marketing professionals in the United States from 2018 to 2020 [Graph]. In Statista. Retrieved March 22, 2023, from https://www.statista.com/statistics/1208348/personalization-approach-use-preferences/
Evergage. "Leading approaches to personalization used by marketing professionals in the United States from 2018 to 2020." Chart. April 22, 2020. Statista. Accessed March 22, 2023. https://www.statista.com/statistics/1208348/personalization-approach-use-preferences/
Evergage. (2020). Leading approaches to personalization used by marketing professionals in the United States from 2018 to 2020. Statista. Statista Inc.. Accessed: March 22, 2023. https://www.statista.com/statistics/1208348/personalization-approach-use-preferences/
Evergage. "Leading Approaches to Personalization Used by Marketing Professionals in The United States from 2018 to 2020." Statista, Statista Inc., 22 Apr 2020, https://www.statista.com/statistics/1208348/personalization-approach-use-preferences/
Evergage, Leading approaches to personalization used by marketing professionals in the United States from 2018 to 2020 Statista, https://www.statista.com/statistics/1208348/personalization-approach-use-preferences/ (last visited March 22, 2023)
Leading approaches to personalization used by marketing professionals in the United States from 2018 to 2020 [Graph], Evergage, April 22, 2020. [Online]. Available: https://www.statista.com/statistics/1208348/personalization-approach-use-preferences/