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Surfing Through Life Changes: comScore Report Details Consumers' Heavy Reliance On the Web During Major Life Events
4/18/2005 8:37:48 AM

Report Based on Newly Updated Audience insite Measures Tool

 

RESTON, Va., April 18 /PRNewswire/ -- comScore Networks today released an analysis of Internet usage by consumers who have recently experienced significant life events, such as getting married or buying a home. The analysis provided new details of consumers' heavy reliance on the Web to provide information related to the changes in their lives.

"While the Web has long since woven itself into the fabric of daily life, consumers are increasingly reliant upon online resources to ease and inform major life events," said Peter Daboll, president and CEO of comScore Media Metrix. "For marketers, particularly those looking to reach consumers at pivotal points in their lives, such as planning a marriage, buying a home, or having a baby, few media can match the Web's ability to facilitate communications keyed to an individual's specific needs."

comScore's analysis* was conducted using the recently released Winter 2005 edition of Audience insite Measures (AiM), a comScore Media Metrix product. AiM is the only syndicated consumer analysis tool to combine consumer-reported lifestyle data and passively observed online behavior at more than 30,000 Web sites. The foundation of the AiM system is an extensive lifestyle and product usage survey fielded to comScore panelists, which is integrated with comScore's online behavioral observation at the respondent level. By using this methodology, AiM provides more accurate and granular insight than is available from tools that rely on consumers to recall their Internet behavior.

  The report analyzes the online behavior of three consumer segments:

  -- "Online Expectants" - Consumers who have created or accessed a baby
     registry (online or offline) in the past six months
  -- "Engaged Buyers" - Consumers who have gotten engaged or married in the
     past six months or who will get married in the next six months
  -- "Movers & Shoppers" - Consumers who have reported buying their first
     home or moving more than 100 miles in the last six months


The report found, for example, that out of the 10 Web site categories with the highest relative composition of Online Expectants, seven are Retail subcategories -- a clear indication of this group's purchase propensity. Not surprisingly, the Toys subcategory tops the ranking, with a 62-percent greater relative composition of Online Expectants than the overall population. The Department Stores, Home Furnishings and Books subcategories also rank highly, likely driven by Online Expectants shopping for apparel, furniture and educational content to prepare for the new arrival. Consumers in-market for baby products are also disproportionately likely to visit the Fragrances & Cosmetics and Jewelry, Luxury Goods & Accessories subcategories.

Considering the costs involved with having a baby, it's not surprising that Online Expectants are likely to turn to the Coupon category in search of discounts. For marketers looking to reach this segment, direct marketing sites such as Coolsavings.com and Eversave.com may represent attractive opportunities.

   Top Ten Categories by Composition Index - Online Expectant Segment
   AiM Winter 2005 Release
   Source: comScore Media Metrix AiM

                                               Composition Index
   Retail - Toys                                       162
   Retail - Fragrances/Cosmetics                       144
   Retail - Dept. Stores                               127
   Retail - Home Furnishings                           123
   Health - Pharmacy                                   120
   Family                                              120
   Coupons                                             119
   Retail - Flowers/Gifts/Greetings                    118
   Retail - Books                                      117
   Retail - Jewelry/Luxury Goods/Accessories           116


Note: Composition index is the propensity of a specific segment to visit a category or property compared to the average Internet user. An index of 100 represents parity. An index of 162 can also be read as "62 percent more likely than average."


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