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Top-performing e-commerce marketing personalization tactics worldwide 2017
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Top-performing e-commerce marketing personalization tactics worldwide 2017
Most successful e-commerce marketing personalization techniques worldwide as of June 2017, based on average uplift in revenue-per-visitor (RPV)
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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Description
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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.
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- Release date
- July 2017
- Region
- Worldwide
- Survey time period
- June 2017
- Special properties
- based on 2 billion e-commerce user journeys and 120 million purchases primarily in the retail and travel sectors
- Supplementary notes
-
The source provided the following terminology definitions:
Scarcity = techniques that highlight items that are low in stock
Social proof = techniques that leverage the behavior of other users to provide information about trending products and items currently popular
Urgency = techniques that use a time limit to promote urgency to complete an action before a deadline
Abandonment = techniques that aim to capture users before they leave the site after indicating purchase intention
Product recommendation = techniques that recommend alternative products to users
Source
- Show sources information
- Show publisher information
- Release date
- July 2017
More information
- Region
- Worldwide
- Survey time period
- June 2017
- Special properties
- based on 2 billion e-commerce user journeys and 120 million purchases primarily in the retail and travel sectors
- Supplementary notes
-
The source provided the following terminology definitions:
Scarcity = techniques that highlight items that are low in stock
Social proof = techniques that leverage the behavior of other users to provide information about trending products and items currently popular
Urgency = techniques that use a time limit to promote urgency to complete an action before a deadline
Abandonment = techniques that aim to capture users before they leave the site after indicating purchase intention
Product recommendation = techniques that recommend alternative products to users
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Marketing personalization
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Statistics on "Marketing personalization"
- Overview & usage
The most important statistics
- Digital channels in which personalized communication is used worldwide as of March 2018Usage of personalization in digital marketing channels worldwide 2018
- Leading types of personalization experiences used by marketers worldwide as of March 2017Most used types of personalization experiences by marketers worldwide 2017
- Most used formats of personalization according to marketing professionals worldwide as of March 2018Personalization format usage worldwide 2018
- Leading digital marketing personalization technologies used by large companies worldwide as of May 2016Digital marketing personalization technologies used by companies worldwide 2016
- Share of marketing budgets devoted to personalized digital marketing communications worldwide as of May 2016Share of marketing budget spent on digital personalization worldwide 2016
- Leading criteria used for targeting visitors or users to personalize experiences according to marketing professionals worldwide as of March 2018Data used by marketers when targeting for personalization worldwide 2018
- Share of marketers using age data for content personalization in the United States as of September 2017, by channel Share of marketers personalizing by age in the U.S. 2017, by channel
- Marketer perspective
The most important statistics
- Leading benefits from website and in-app personalization according to marketing professionals worldwide as of March 2017Leading website and in-app personalization benefits worldwide 2017
- Leading obstacles to using personalization according to marketers in North America as of October 2017Main obstacles to using personalization among North American marketers 2017
- Perceived level of ROI generated by selected digital marketing channels according to marketers worldwide as of June 2017Perceived ROI level from digital marketing channels worldwide 2017
- Company adoption level of selected marketing technologies according to ad and marketing executives in North America as of June 2017North American company adoption levels of selected marketing technologies in 2017
- Share of marketing professionals satisfied with levels of personalization in digital marketing channels worldwide as of March 2017Degrees of satisfaction with online channel personalization levels worldwide 2017
- Leading ways of using data to facilitate marketing personalization according to industry professionals worldwide as of November 2016Personalization in marketing - ways of using data 2016
- Consumer perspective
The most important statistics
- Consumer interpretations of marketing content personalization in the United States as of April 2017Understanding of personalization in marketing among U.S. consumers 2017
- Attitudes towards marketing content personalization the United States as of April 2017Opinions on personalization in marketing in the U.S. 2017
- Consumer attitude towards companies using their purchase history for shopping recommendations sent to mobile phones in the United States as of December 2017U.S. consumer view of purchase history based mobile shopping recommendations 2017
- Appreciation of personalized recommendations on selected online platforms according to consumers in the United States as of May 2017U.S. consumer appreciation of personalized recommendations on selected platforms 2017
- Preferred form of retail personalization among shoppers in North America as of November 2017, by genderNorth American consumer preference of retail personalization form 2017, by gender
- Preferred form of retail personalization among shoppers in North America as of November 2017, by age groupNorth American consumer preference of retail personalization form 2017, by age group
- Share of U.S. consumers who expect to be delivered personalized experiences within one hour of identifying themselves to a brand as of September 2017U.S. consumer expected personalized experiences in exchange for personal data 2017
- Share of consumers who think companies are successful at delivering online personalized experiences in the United States as of April 2017, by industryU.S. consumer view of successful online personalization use 2017, by industry
- Effectiveness
The most important statistics
- Most effective personalization tactics according to marketing executives in the United States as of April 2017Most effective personalization strategies in the U.S. 2017
- Most successful e-commerce marketing personalization techniques worldwide as of June 2017, based on average uplift in revenue-per-visitor (RPV)Top-performing e-commerce marketing personalization tactics worldwide 2017
- Share of consumers who expect personalized shopping experiences vs. their actual experiences as of September 2017, by channelU.S. personalized shopping experiences: expectations vs. reality 2017, by channel
- Ways in which companies are successful at personalization on websites and mobile apps according to consumers in the United States as of April 2017Companies doing well at personalization online in the U.S. 2017
- Ways in which companies are successful at personalization in physical locations according to consumers in the United States as of April 2017Companies doing well at personalization offline in the U.S. 2017
- Share of consumers who find online store product suggestions matching their buying interests in the United States as of May 2017U.S. consumers view of online store product suggestions 2017
- Frequency of purchasing items suggested by online stores in the United States as of May 2017, by incomeFrequency of purchasing items suggested by online stores in the U.S. 2017, by income
The most important statistics
- Key performance indicators (KPIs) of personalized vs. non-personalized e-mail content in the United States as of April 2017KPIs of personalized vs. non-personalized e-mails in the U.S. 2017
- Most effective e-mail tactics in driving conversions according to online retailers as of June 2016E-mail tactics seen as driving conversions according to online retailers 2016
- Planned changes in e-mail marketing strategies according to retailers in North America between 2016 and 2018North America: planned changes in e-mail marketing strategies 2016-2018
- Average conversion rate of triggered e-mails in the United States in 2016, by order value Triggered e-mails average conversion rates in the U.S. in 2016, by order value
- Revenue per triggered e-mail in the United States in 2016, by type (in U.S. dollars)Revenue per triggered e-mail in the U.S. in 2016, by type
- Personalized e-mail marketing target groups in North America as of September 2016North America: personalized e-mail marketing target groups 2016
- Share of marketers using age data for content personalization in the United States as of September 2017, by channel Share of marketers personalizing by age in the U.S. 2017, by channel
- Share of consumers who find selected e-mail marketing practices annoying in the United States as of July 2017U.S. consumers annoyance with selected e-mail marketing practices in 2017
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Further Content: Statistics, Studies, and Topic Pages
Statistics
- Noticeability of purchase history based product recommendations in the U.S. 2016
- Satisfaction with purchase history based product recommendations in the U.S. 2016
- Effect of relevant content personalization on consumer view of brands U.S. 2016
- Satisfaction with product recommendations in the U.S. 2016, by age
- Importance of content personalization among U.S. consumers in 2016, by industry
- North America: effective e-mail marketing triggers 2016
- Distribution of personalized B2B shopping experience in the Benelux 2016
- Most valuable measures of success in video campaigns worldwide 2016
- Personal recommendations - effectiveness in Q1 2013, by region
- Search engine advertising - effectiveness in Q1 2013, by region
- U.S. interest in mobile shopping recommendations from selected companies 2017, gender
- Cinema advertising- effectiveness in Q1 2013, by region
- Canada: ad recall 2015, by channel
- Ireland: ad recall 2015, by channel
- Super Bowl: time of visiting advertiser's website 2016, by age
- Annual growth in gross merchandise volume of China's mobile shopping market 2013-2020
- Romania: ad recall 2015, by channel
Studies
- Marketing personalization
- The Power Of Me
- 2018 Trends in Personalization
- 2017 Trends in Personalization
- Data usage in marketing and advertising
- The Personalization Imperative For Content Marketing
- B2C Marcomm Personalization
- Global Data Market Size 2016-2018
- State of Data Report December 2017
- The Data-Centric Organization 2018
Statistics on "Marketing personalization"
- Digital channels in which personalized communication is used worldwide as of March 2018
- Leading types of personalization experiences used by marketers worldwide as of March 2017
- Most used formats of personalization according to marketing professionals worldwide as of March 2018
- Leading digital marketing personalization technologies used by large companies worldwide as of May 2016
- Share of marketing budgets devoted to personalized digital marketing communications worldwide as of May 2016
- Leading criteria used for targeting visitors or users to personalize experiences according to marketing professionals worldwide as of March 2018
- Share of marketers using age data for content personalization in the United States as of September 2017, by channel
- Leading benefits from website and in-app personalization according to marketing professionals worldwide as of March 2017
- Leading obstacles to using personalization according to marketers in North America as of October 2017
- Perceived level of ROI generated by selected digital marketing channels according to marketers worldwide as of June 2017
- Company adoption level of selected marketing technologies according to ad and marketing executives in North America as of June 2017
- Share of marketing professionals satisfied with levels of personalization in digital marketing channels worldwide as of March 2017
- Leading ways of using data to facilitate marketing personalization according to industry professionals worldwide as of November 2016
- Consumer interpretations of marketing content personalization in the United States as of April 2017
- Attitudes towards marketing content personalization the United States as of April 2017
- Consumer attitude towards companies using their purchase history for shopping recommendations sent to mobile phones in the United States as of December 2017
- Appreciation of personalized recommendations on selected online platforms according to consumers in the United States as of May 2017
- Preferred form of retail personalization among shoppers in North America as of November 2017, by gender
- Preferred form of retail personalization among shoppers in North America as of November 2017, by age group
- Share of U.S. consumers who expect to be delivered personalized experiences within one hour of identifying themselves to a brand as of September 2017
- Share of consumers who think companies are successful at delivering online personalized experiences in the United States as of April 2017, by industry
- Digital companies perceived as successful at personalizing online experiences according to consumers in the United States as of October 2016
- Most effective personalization tactics according to marketing executives in the United States as of April 2017
- Most successful e-commerce marketing personalization techniques worldwide as of June 2017, based on average uplift in revenue-per-visitor (RPV)
- Share of consumers who expect personalized shopping experiences vs. their actual experiences as of September 2017, by channel
- Ways in which companies are successful at personalization on websites and mobile apps according to consumers in the United States as of April 2017
- Ways in which companies are successful at personalization in physical locations according to consumers in the United States as of April 2017
- Share of consumers who find online store product suggestions matching their buying interests in the United States as of May 2017
- Frequency of purchasing items suggested by online stores in the United States as of May 2017, by income
- Key performance indicators (KPIs) of personalized vs. non-personalized e-mail content in the United States as of April 2017
- Most effective e-mail tactics in driving conversions according to online retailers as of June 2016
- Planned changes in e-mail marketing strategies according to retailers in North America between 2016 and 2018
- Average conversion rate of triggered e-mails in the United States in 2016, by order value
- Revenue per triggered e-mail in the United States in 2016, by type (in U.S. dollars)
- Personalized e-mail marketing target groups in North America as of September 2016
- Share of consumers who find selected e-mail marketing practices annoying in the United States as of July 2017
- Leading e-mail personalization errors that consumers find frustrating in the United States as of July 2017
- Within the past 6 months, have you noticed if each of these retailers or companies have made recommendations and offers to you based on your past purchase history?
- How satisfied are you with recommendation and offers retailers have made to you based on your past purchase history?
- Consumer attitudes towards brands providing personally relevant content in the United States as of October 2016
- How satisfied are you with recommendation and offers retailers have made to you based on your past purchase history?
- Consumer view of importance of relevant content personalization in the United States as of October 2016, by industry
- Most effective triggers in e-mail marketing in North America as of September 2016
- Do you personalize the online B2B shopping experience?
- What do you feel are the most valuable measures of success in video campaigns?
- Effectiveness of personal recommendations worldwide in 1st quarter of 2013, by region
- Effectiveness of search engine advertising worldwide in 1st quarter of 2013, by region
- Consumer interest in selected companies using their purchase history for shopping recommendations sent to mobile phones in the United States as of December 2017, by gender
- Effectiveness of cinema advertising worldwide in 1st quarter of 2013, by region
- Where do you remember seeing/hearing advertising for this product/offer first?
- Where do you remember seeing/hearing advertising for this product/offer first?
- When do you typically visit a Super Bowl advertiser's website?
- Annual growth in gross merchandise volume (GMV) of the mobile shopping market in China from 2013 to 2020
- Where do you remember seeing/hearing advertising for this product/offer first?
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