- Media & Advertising›
- Advertising & Marketing ›
Top-performing e-commerce marketing personalization tactics worldwide 2017
Premium statistics
Industry-specific and extensively researched technical data (partially from exclusive partnerships).
A paid subscription is required for full access.
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)
by A. Guttmann,
last edited
Feb 27, 2018
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)
| Percent uplift in revenue-per-visitor | |
|---|---|
| - | - |
| - | - |
| - | - |
| - | - |
| - | - |
| Percent uplift in revenue-per-visitor | |
|---|---|
| - | - |
| - | - |
| - | - |
| - | - |
| - | - |
Exclusive Premium statistic
You need a Premium Account for unlimited access.
Full access to 1m statistics
Incl. source references
Available to download in PNG, PDF, XLS format
Premium Account
only $49 / month
*
Exclusive content
Exclusive Premium statistic
You need a Premium Account for unlimited access.
Full access to 1m statistics
Incl. source references
Available to download in PNG, PDF, XLS format
Premium Account
only $49 / month
*
© Statista 2019
About this statistic
Show source
Download
Settings
Share
Chart type
Datalabels
Share on Social Media
Download started
Please be patient - this may take a moment
Please be patient - this may take a moment
Description
Source
More information
by A. Guttmann,
last edited
Feb 27, 2018
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.
- Show sources information
- Show publisher information
- 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
Other statistics on the topic
Personalized marketing
Advertising & Marketing
Perceived ROI level from digital marketing channels worldwide 2017
+Advertising & Marketing
Usage of personalization in digital marketing channels worldwide 2018
+Advertising & Marketing
Personalization in marketing - ways of using data 2016
+Advertising & Marketing
Opinions on personalization in marketing in the U.S. 2017
Statista Accounts:
Access All Statistics. Starting from $588 / Year
Basic Account
Get to know the platform
You only have access to basic statistics.
This statistic is not included in your account!
Premium Account
Your perfect start with Statista
- Instant access to 1m statistics
- Download in XLS, PDF & PNG format
- Detailed references
$49 / Month *
Corporate Account
Full access
Corporate solution including all features.
* All products require an annual contract.
Prices do not include sales tax.
Prices do not include sales tax.
Leading companies trust Statista:
Related Studies: Available to Download in PDF or PPTX Format
All Information
in one Presentation
Marketing personalization
- 87 page/s
- English
- pptx
- Detailed references
Everything On "Marketing personalization" in One Document: Edited and Divided into Handy Chapters. Including Detailed References.
Statista has been my savior on several occasions. The site is easy to maneuver and the data is in a format that can go right into a report or presentation.Marlene Greenfield
Vice President, Hearst Magazines
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
Discover Statista
Need help with using Statista for your research?
Tutorials and first steps
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
- Satisfaction with product recommendations in the U.S. 2016, by age
- Effect of relevant content personalization on consumer view of brands U.S. 2016
- Importance of content personalization among U.S. consumers in 2016, by industry
- North America: effective e-mail marketing triggers 2016
- U.S. interest in mobile shopping recommendations from selected companies 2017, gender
- U.S. view of purchase history-based mobile shopping recommendations 2017, by gender
- Personalized online presence by companies in the Netherlands 2016, by channel
- Programmatic advertising: benefits in Europe 2014
- Impact of relevant content personalization on U.S. consumer purchase intent 2016
- Flipkart's funding value India 2009-2017
- Most valuable measures of success in video campaigns worldwide 2016
- Methods of measuring media effectiveness in the U.S. 2016
- Digital video advertising effectiveness in the U.S. 2016, by video type
- Marketer opinion on effectiveness of video advertising in the UK 2017
- Canada willingnes to share personal data with companies 2015, by type
- Bulgaria: ad recall 2015, by channel
Studies
- Marketing personalization
- The Power Of Me
- 2019 Trends in Personalization
- 2018 Trends in Personalization
- Data usage in marketing and advertising
- The Personalization Imperative For Content Marketing
- Digital Advertising 2020
- 2017 Trends in Personalization
- B2C Marcomm Personalization
- Global Data Market Size 2016-2018
- State of Data Report December 2017
- The Data-Centric Organization 2018
Statistics on "Marketing personalization"
- Usage of personalization in digital marketing channels worldwide 2018
- Most used types of personalization experiences by marketers worldwide 2017
- Personalization format usage worldwide 2018
- Digital marketing personalization technologies used by companies worldwide 2016
- Share of marketing budget spent on digital personalization worldwide 2016
- Data used by marketers when targeting for personalization worldwide 2018
- Share of marketers personalizing by age in the U.S. 2017, by channel
- Leading website and in-app personalization benefits worldwide 2017
- Main obstacles to using personalization among North American marketers 2017
- Perceived ROI level from digital marketing channels worldwide 2017
- North American company adoption levels of selected marketing technologies in 2017
- Degrees of satisfaction with online channel personalization levels worldwide 2017
- Personalization in marketing - ways of using data 2016
- Understanding of personalization in marketing among U.S. consumers 2017
- Opinions on personalization in marketing in the U.S. 2017
- U.S. consumer view of purchase history based mobile shopping recommendations 2017
- U.S. consumer appreciation of personalized recommendations on selected platforms 2017
- North American consumer preference of retail personalization form 2017, by gender
- North American consumer preference of retail personalization form 2017, by age group
- U.S. consumer expected personalized experiences in exchange for personal data 2017
- U.S. consumer view of successful online personalization use 2017, by industry
- Companies U.S. consumers view as best at personalizing online experiences 2016
- Most effective personalization strategies in the U.S. 2017
- Top-performing e-commerce marketing personalization tactics worldwide 2017
- U.S. personalized shopping experiences: expectations vs. reality 2017, by channel
- Companies doing well at personalization online in the U.S. 2017
- Companies doing well at personalization offline in the U.S. 2017
- U.S. consumers view of online store product suggestions 2017
- Frequency of purchasing items suggested by online stores in the U.S. 2017, by income
- KPIs of personalized vs. non-personalized e-mails in the U.S. 2017
- E-mail tactics seen as driving conversions according to online retailers 2016
- North America: planned changes in e-mail marketing strategies 2016-2018
- Triggered e-mails average conversion rates in the U.S. in 2016, by order value
- Revenue per triggered e-mail in the U.S. in 2016, by type
- North America: personalized e-mail marketing target groups 2016
- U.S. consumers annoyance with selected e-mail marketing practices in 2017
- U.S. consumers' frustration with e-mail personalization errors in 2017
- Noticeability of purchase history based product recommendations in the U.S. 2016
- Satisfaction with purchase history based product recommendations in the U.S. 2016
- Satisfaction with product recommendations in the U.S. 2016, by age
- Effect of relevant content personalization on consumer view of brands U.S. 2016
- Importance of content personalization among U.S. consumers in 2016, by industry
- North America: effective e-mail marketing triggers 2016
- U.S. interest in mobile shopping recommendations from selected companies 2017, gender
- U.S. view of purchase history-based mobile shopping recommendations 2017, by gender
- Personalized online presence by companies in the Netherlands 2016, by channel
- Programmatic advertising: benefits in Europe 2014
- Impact of relevant content personalization on U.S. consumer purchase intent 2016
- Flipkart's funding value India 2009-2017
- Most valuable measures of success in video campaigns worldwide 2016
- Methods of measuring media effectiveness in the U.S. 2016
- Digital video advertising effectiveness in the U.S. 2016, by video type
- Marketer opinion on effectiveness of video advertising in the UK 2017
- Canada willingnes to share personal data with companies 2015, by type
- Bulgaria: ad recall 2015, by channel
Statista Accounts:
Access All Statistics. Starting from $588 / Year
Related topics
About Statista
Statista offers dossiers and reports on over 170 industries. With Statista you are always able to make informed decisions and boost your work efficiency.
Internet & Telecommunications
- Social Media
- E-Commerce
- Online Video & Entertainment
- Advertising & Marketing
Consumer Goods & FMCG
- Alcoholic Beverages
- Cleaning Products
- Cosmetics & Personal Care
- Food & Nutrition
Retail & Trade
- Health & Hygiene
- International Trade
- Shopping Behavior
- Sports & Leisure
Travel, Tourism & Hospitality
- Business Travel
- Leisure Travel
- Accomodation
- Restaurants
Society
- Demographics
- Economy
- Education & Science
- Politics & Government
Transportation & Logistics
- Aviation
- Rail Transport
- Vehicles & Road Traffic
- Water Transport
Save statistic in .XLS format
You can only download this statistic as a Premium user.
Save statistic in .PNG format
You can only download this statistic as a Premium user.
Save statistic in .PDF format
You can only download this statistic as a Premium user.
Show source references
As a Premium user you get access to the detailed source references and background information about this statistic.
Show details about this statistic
As a Premium user you get access to background information and details about the release of this statistic.
Bookmark statistics
As soon as this statistic is updated, you will immediately be notified via e-mail.
Change statistics options
You need at least a Premium Account to use this feature.
Exclusive Corporate feature
This feature is limited to our corporate solutions.
Please contact us to get started with full access to dossiers, forecasts, studies and international data.
Corporate Account
We use cookies to personalize contents and ads, offer social media features, and analyze access to our website. In your browser settings you can configure or disable this, respectively, and can delete any already placed cookies. For details, please see your browser’s Help section (by pressing F1). Please see our privacy statement for details about how we use data.