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Published by: Mintel International Group Ltd.
Published: Jun. 1, 2010 - 100 Pages
Table of Contents- SCOPE AND THEMES
- What you need to know
- Definition
- Data sources
- Sales data
- Consumer survey data
- Advertising creative
- Abbreviations and terms
- Abbreviations
- Terms
- EXECUTIVE SUMMARY
- E-commerce still grows in recession
- Electronics the most resilient product category
- Consumers warm to e-commerce and value its convenience
- Sales tax advantage in jeopardy
- Amazon leads e-commerce with strong value propositions
- Other major retailer brands strategize to catch Amazon
- Retailers increase focus on lead generation
- Television ads push lifestyle, gifting
- E-commerce adoption skews with gender, age, and household income
- Key demographic for e-commerce: 25-34-year-olds
- Decreased concern over using personal information to make purchases
- Price comparison users are fragmented among multiple sites
- Mobile shopping still in infancy
- Developers innovate as smartphone penetration rises
- MARKET SIZE AND FORECAST
- Market still growing through recession
- Figure 1: Total U.S. e-commerce retail sales, 2004-14
- Figure 2: Total U.S. e-commerce retail sales, at inflation-adjusted prices*, 2004-14
- COMPETITIVE CONTEXT
- Key points
- Online share growing but adoption may see a plateau
- Figure 3: E-commerce sales as a percentage of total retail, 2001-10
- Web-only retailers growing faster than retail chain web sales
- Figure 4: Online sales of top 500 sites, by type of retailer, 2007 and 2009
- Decreasing interest in wish lists, but interest in gift cards on the rise
- Figure 5: Attitudes toward online gift shopping, February 2009 and March 2010
- SEGMENT PERFORMANCE
- Key points
- Electronics, recorded entertainment, toys post large gains in recession
- Figure 6: U.S. e-commerce sales at electronic shopping/mail order houses, by type of merchandise, 2007 and 2008
- E-shoppers make purchases in fewer categories in 2009
- Figure 7: Categories of internet purchase, 2006-09
- LEADING RETAILERS
- Key points
- Amazon far in the lead
- Lower prices
- Shipping charges
- Widest selection of products
- Convenience
- Staples outperforms with a focus on small business customers
- Walmart takes aim at Amazon with aggressive pricing
- Apple’s web traffic pushes it to fourth place
- Figure 8: Sales and related statistics of top ten internet retailers, 2009
- Amazon receives monthly business from a third of e-shoppers
- Figure 9: Popularity of online retailers, March 2010
- Youngest respondents 18-24 show greater skew toward Amazon and eBay
- Figure 10: Popularity of online retailers, by age, March 2010
- Value-oriented brands see lower traffic from $100K+ respondents
- Figure 11: Popularity of online retailers, by household income, March 2010
- eBay rebrands as fixed-price vendor of new merchandise
- INNOVATION AND INNOVATORS
- Mobile app developers innovate as smartphone penetration rises
- Hardware
- Software
- Conversion rates improved through personalized site navigation
- Overstock promotes local business
- Social shopping sites target women who share trends
- Other social sites harness the power of group buying
- TELEVISION ADVERTISING
- Top e-commerce brands place emphasis on customer lifestyles
- Figure 12: Amazon—Diverse Customers, December 2009
- Figure 13: eBay—Chevy Motors, August 2009
- General merchandiser sites incorporate theme of gift giving
- Figure 14: Zappos—Gift Exchange, March 2010
- Figure 15: Overstock—Dad Knows Best, May 2010
- Vendors of groceries and apparel reach out to family demographic
- Figure 16: Peapod—Frantic Family, March 2010
- Figure 17: JCPenney—Kids Matter, August 2009
- ONLINE PROMOTION
- Key points
- Web retailers rely on lead generation for traffic
- Email
- Price-comparison sites
- Search engines
- Improved targeting helps display ads make a comeback
- Targeting improves through tracking web behavior
- More respondents across the board click on display ads
- Figure 18: Clicking on internet ads, by various demographic factors, February 2009 and March 2010
- Limited appetite for social network marketing
- Figure 19: Attitudes toward online promotions and coupons, March 2010
- MARKET DRIVERS
- Consumer confidence undermined by high unemployment and foreclosures
- Figure 20: Consumer confidence and U.S. unemployment rate, January 2008-May 2010
- Decline in revolving credit puts pressure on consumer expenditures
- Figure 21: Outstanding consumer credit, January 2008-May 2010
- Convenience is internet’s top value proposition
- Figure 22: Motivations behind online shopping, March 2010
- Consumers warm to e-commerce for broader range of purchases
- Figure 23: Barriers to online purchase, February 2009 and March 2010
- Free shipping encourages more regular purchases
- States move to collect sales tax on online purchases
- Broadband access
- Smartphone ownership
- USAGE
- Key points
- Recession stalls growth of online consumer base in 2009
- Figure 24: Incidence of internet purchase, 2006-09
- Penetration skews female, younger, and higher income
- Figure 25: Incidence of internet purchase, by various demographic factors, 2008 and 2009
- Online spending is both routine and significant in dollar amount
- Convenience of internet also facilitates in-person purchases
- Figure 26: Type and frequency of purchases made, March 2010
- Key demographic for e-commerce: 25-34-year-olds
- Figure 27: Type and frequency of purchases made, by age, March 2010
- MOTIVATIONS
- Key points
- Price savings, lack of local availability decline in importance
- Convenience central driver
- Figure 28: Motivations behind online shopping, February 2009 and March 2010
- Convenience more important than low prices for over-35s
- Figure 29: Motivations behind online shopping, by age, March 2010
- Female-oriented sites would benefit from wish lists and wide selection
- Figure 30: Motivations behind online shopping, by gender, March 2010
- REASONS NOT TO SHOP ONLINE
- Key points
- Key reasons for not shopping online not diminished
- Figure 31: Reasons not to shop online, February 2009 and March 2010
- Shipping charges more likely to deter women
- Figure 32: Reasons not to shop online, by gender, March 2010
- Older shoppers more resistant to purchasing remotely and shipping fees
- Figure 33: Reasons not to shop online, by age, March 2010
- Lower-income respondents may be less willing to take online risk
- Figure 34: Reasons not to shop online, by household income, March 2010
- COMFORT WITH ONLINE SHOPPING
- Key points
- Increasing comfort with online shopping leading to more purchases
- Figure 35: Comfort with online shopping, February 2009 and March 2010
- Under-35s more concerned about delivery times
- Figure 36: Comfort with online shopping, by age, March 2010
- Highest earners more willing to try unfamiliar web stores
- Figure 37: Comfort with online shopping, by household income, March 2010
- ROLE OF ONLINE REVIEWS
- Reviews represent a strategic draw
- Figure 38: Attitudes toward online product feedback, by household income, March 2010
- MOBILE SHOPPING
- Key points
- Mobile shopping still limited to early adopters
- Figure 39: Attitudes toward mobile shopping, March 2010
- 25-34-year-olds, higher earners most likely to use phones for shopping
- Figure 40: Attitudes toward mobile shopping, by age, March 2010
- Figure 41: Attitudes toward mobile shopping, by household income, March 2010
- PRICE-COMPARISON SITES
- Key points
- Price comparison users are fragmented among multiple sites
- Figure 42: Popularity of price-comparison sites, March 2010
- Men more likely to use price-comparison sites
- Figure 43: Popularity of price-comparison sites, by gender, March 2010
- 25-34-year-olds are key demographic for price-comparison sites
- Figure 44: Popularity of price-comparison sites, by age, March 2010
- Higher-income household members sophisticated at price comparison
- Figure 45: Popularity of price-comparison sites, by household income, March 2010
- CHECKOUT SERVICES
- Online payment usage follows from frequency of purchase
- Figure 46: Usage of checkout services, by gender and age, March 2010
- PayPal remains dominant provider of checkout services
- Figure 47: Popularity of checkout services, by age, March 2010
- RACE AND HISPANIC ORIGIN
- Key points
- Skew in online adoption strongly linked to income disparity
- Figure 48: Incidence of internet purchase, by race/Hispanic origin, 2009
- Asians early adopters but financially risk-averse
- Figure 49: Comfort with online shopping, by race/Hispanic origin, March 2010
- Online Asians and Hispanics more likely users of price-comparison sites
- Figure 50: Popularity of price-comparison sites, by race/Hispanic origin, March 2010
- Asian respondents more active in searching for online coupons
- Figure 51: Attitudes toward online promotions and coupons, by race/Hispanic origin, March 2010
- Asians and Hispanics more likely to adopt cell phone commerce
- Figure 52: Attitudes toward mobile shopping, by race/Hispanic origin, March 2010
- APPENDIX: OTHER USEFUL CONSUMER TABLES
- Motivations
- Figure 53: Motivations behind online shopping, by household income, March 2010
- Comfort with online shopping
- Figure 54: Comfort with online shopping, by gender, March 2010
- Popularity of online retailers
- Figure 55: Popularity of online retailers, by gender, March 2010
- Shopping with cell phones
- Figure 56: Attitudes toward shopping with cell phones, by gender, March 2010
- Checkout services
- Figure 57: Use of checkout services, by household income, March 2010
- APPENDIX: TRADE ASSOCIATIONS
AbstractBrands must be wholly transparent. Or else.
The ongoing fallout of the credit crunch has provided a series of reminders that there are dangers everywhere, and few organizations in which consumers can place total trust. The world of politics has been suffering from a transparency deficit pretty much from day one.
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