*This marketing research information is the result of Manifold’s models using the Numeris RTS Canada survey, it is not intended to duplicate Numeris data.

This data product describes consumer Internet usage behavior. For examples, the propensity of:

• Accessing the Internet at various locations: home, workplace, school, cottage, …
• Accessing the Internet via ADSL, Cable, Satellite, …
• Mobile Internet access
• Usage of the Internet for news, fashion, automobile, food, health, weather, ….
• Time of Internet access by weekday and weekend
• Light, medium, and heavy users of the Internet
• Purchase / Intend to purchase new technology products and services, e.g., iPhone, HDTV, Tablet.

Electronic companies/retailers and telecoms use this data product to find their new customers. Other companies leverage the information to design marketing programs to reach their customers and prospects more effectively via the Internet, e.g., at what time and on which websites and with what content.

This data product is based on the Return-To-Sample survey by Numeris (formerly Bureau of Broadcast and Measurement), publications of Statistics Canada and CRTC, and Manifold’s predictive modeling techniques. We identified robust consumer product usage patterns in the survey data and extrapolated them into the propensity score for each of all 6-digit postal codes.

*This marketing research information is the result of Manifold’s models using the Numeris RTS Canada survey, it is not intended to duplicate Numeris data.

This data product describes the consumer reading habits of newspapers and magazines. For examples, the propensity of:

• Reading national and local daily newspapers by weekday and weekend
• Total time spent on reading daily newspapers
• Light, medium and heavy readers
• Reading patterns by contents: automotive, business, fashion, classified ads, food, health, movie, news, sport, travel, real estate, …
• Method of reading: all sections, selective, casual, …
• Reading magazines by type: art & antiques, automobile, babies and parents, brides/bridal, business and finance, children and youth, entertainment, fashion, food & beverage, gardening & homes, health/fitness, hobbies, home décor, men’s, music, nature, news, photo, senior, sports, travel, and women’s
• Reading patterns by the magazine: CAA, Canadian Gardening, Living, Reader’s Digest, National Geographic,
• Time spent on reading magazines
• Light, medium and heavy readers of magazines.

The precise and granular data on consumers’ reading habits enables companies to use the print media to reach their customers and prospects more effectively, e.g., which day, in which newspaper/magazine and which section.

This data product is based on the Return-To-Sample survey by Numeris (formerly Bureau of Broadcast and Measurement), publications of Statistics Canada and CRTC, and Manifold’s predictive modeling techniques. We identified robust consumer product usage patterns in the survey data and extrapolated them into the propensity score for each of the 6-digit postal codes.

This marketing research information is the result of Manifold’s models using the Numeris RTS Canada survey, it is not intended to duplicate Numeris data.

This data product describes the consumer listening habits of radio. For examples, the propensity of:

• Listening radio program by type: comedy, contests, music, news, religious, ethnic programs, sports, traffic and weather
• Time spent on listening to the radio
• Daily reach
• Hourly reach
• Light, medium and heavy users of radio
• Listenership and usage by program

The precise and granular data on consumers’ radio listening habits enables companies to identify the best radio station, program, day and time in order to reach their customers and prospects more effectively.

This data product is based on the Return-To-Sample survey by Numeris (formerly Bureau of Broadcast and Measurement), publications of Statistics Canada and CRTC, and Manifold’s predictive modeling techniques. We identified robust consumer product usage patterns in the survey data and extrapolated them into the propensity score for each of the 6-digit postal codes.

*This marketing research information is the result of Manifold’s models using the Numeris RTS Canada survey, it is not intended to duplicate Numeris data.

This data product describes the consumer viewing habits of TV. For example, the propensity of:

• Watching TV program by type: auto racing, baseball, basketball, cartoons, children, cooking, CFL/NFL, home renovation, golf, hockey, movie, news, soap dramas, talk shows, …
• Watching TV program by (digital) channel: BNN, CP24, CBC, CNN, CTV, …
• Time spent on watching TV by weekday, weekend,
• Hourly reach
• Light, medium and heavy TV viewers
• Listenership and usage by program

The precise and granular data on consumers’ TV viewing habits enables companies to identify the best TV station, program, day and time in order to reach their customers and prospects more effectively.

This data product is based on the Return-To-Sample survey by Numeris (formerly Bureau of Broadcast and Measurement), publications of Statistics Canada and CRTC, and Manifold’s predictive modeling techniques. We identified robust consumer product usage patterns in the survey data and extrapolated them into the propensity score for each of the 6-digit postal codes.

*This marketing research information is the result of Manifold’s models using the Numeris RTS Canada survey, it is not intended to duplicate Numeris data.

This database is about the consumer behaviour of flyer usage. It describes the propensity of consumers to use:

• Direct email offers by frequency
• Coupons by frequency
• Flyers in the daily newspaper by frequency
• Flyers in community newspaper by frequency
• Flyers at the door or in the mail by frequency
• Coupon from a local store by frequency
• Coupon from mail order by frequency
• Coupon from internet by frequency
• Yellow pages in print and online
• Attitude towards flyer/coupon
• Visit of a store or website upon hearing a commercial
• Avoidance of advertisement: online, print, radio and TV.

Using this data product, companies can target consumers who use flyers and coupons and reduce waste in their marketing programs.

This data product is based on the Return-To-Sample survey by Numeris (formerly Bureau of Broadcast and Measurement), publications of Statistics Canada and market research companies, and Manifold’s predictive modeling techniques. We identified robust consumer product usage patterns in the survey data and extrapolated them into the propensity score for each of the 6-digit postal codes.