AT MANIFOLD WE LIVE FOR DATA We take numbers and turn them into actionable results
Behaviour & Psychographics Behaviour
This data product provides information on consumers’ interests, values, opinions, attitudes, interests, and lifestyles.
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*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 actions toward environment and energy conservation, for example, propensity score of
- Owning energy-efficient appliance, HVAC
- Using low water showerhead/toilet
- Using programmable thermostat
- Using appliance in off-peak times
- Recycling
- Composting
- Taking public transit
- Upgrading windows/doors, insulation.
Utility companies use this data product to target their market better. Government agencies can use it to refine economic plans. Manufacturers and retailers can use the data to gain consumer insight and tailor communications with them.
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*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 behaviour of home improvement and renovation, for examples, the propensity of
- Adding living space
- Renovating deck/fencing, floor, garage, window, HVAC, …
- Remodeling bathroom, kitchen, other room
- Roofing, landscaping, …
- Renovating by do-it-yourself or with family/ friend or use contractor/tradesperson
It also includes information on
- Household spending on home improvement in the last two years
- Length of residence
- Plan for moving
- Area intend to move if plan to move
- Home buy/rent plan if plan to move
- Ownership of cottage/recreational properties.
Retailers and manufacturers of home hardware and moving companies can use this data product to gain customer insight; perform trade area analysis; estimate market potential; tailor communication and identify the best prospects.
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*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 provides a propensity score of consumer leisure activities, including:
- Video/DVD rentals: channel, frequency, and spending
- Purchase of lottery tickets: type, frequency, and spending
- Visit of Casinos: type and frequency
- Attendance of schools and learning centers
- Search for jobs
- Dating activities
- Live events like weddings, a child born, retirement, promotion, career change
- Attendance of local attractions: type and frequency
- Attendance of concerts/theatre: type and frequency
- Attendance of live sports events: type and frequency
- Visits of consumer shows: type and frequency
- Participation of general leisure activities: type and frequency
- Participation in sports activities & events, e.g., golfing, skiing, jogging, …
This data product reflects consumer lifestyles from various perspectives. Through leisure activities, companies can gain a better understanding of what their customers may like, value and participate, and then optimize their approaches for engagement. This database is indispensable for companies striving for holistic engagement with their customers and prospects. It can help companies segment their customers better and tailor their products/services by lifestyles.
This data product is mainly based on 8 years of the Return-To-Sample survey by Numeris (formerly Bureau of Broadcast and Measurement). We have also integrated research publications on consumer lifestyles and behaviour, and Manifold’s predictive modeling techniques. We identified robust consumer leisure activity patterns in the survey data and extrapolated them into the propensity score for each of the 6-digit postal codes.
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*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 provides information on consumers’ interests, values, opinions, attitudes, interests, and lifestyles. It includes propensity score on consumers’
- Attitude about advertising
- Health consciousness
- Opinion about new products
- Brand loyalty
- Cost sensitivity
- Social networks and activities
- Lifestyle
- Opinion about work
- Interests and family life
- Attitude regarding self-esteem.
The psychographic information in this data product is complementary to the demographics, spending, behaviour data products. It tells companies what customers may think and value their products and services. Thus leveraging the power of psychographics can help companies position their products and services to the right consumers at the right time (life stage and location).
This data product is mainly based on 8 years of the Return-To-Sample survey by Numeris (formerly Bureau of Broadcast and Measurement). We have also integrated research publications on consumer psychographics, lifestyles and behaviours, and Manifold’s predictive modeling techniques. We identified robust consumer psychographic patterns in the survey data and extrapolated them into the propensity score for each of the 6-digit postal codes.
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*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 describes the propensity score of consumer traveling activities, including
- Spending on vacations
- Accommodation by types: resort, bed, and breakfast, boat, camping, cottage, cruise ship, hotel, motel, package tours, …
- Vacation by location: Vancouver, Banf, Ottawa, Toronto, PEI, Alaska, Hawaii, …, and over 40 domestic and oversea locations
- Booking methods: full-service agent, direct via hotel, online, etc.
- Use of major airlines: Air Canada, British Airways, Asian Airlines, etc.
- Traveling distance as driver or passenger
- Usage of local bus and streetcar.
This data product is not only useful to the travel industry. It also reveals consumer lifestyles, e.g., people who prefer package tours, cruise ship and use full-service agents are quite different from those who like camping and travel more locally. Insight of consumer’s traveling pattern can help companies to engage their customers more effectively.
This data product is mainly based on the Return-To-Sample survey by Numeris (formerly Bureau of Broadcast and Measurement). We have also integrated publications of provincial tourist ministries, and Manifold’s predictive modeling techniques. We identified and confirmed robust consumer product usage patterns in the survey data and extrapolated them into the propensity score for each of the 6-digit postal codes.
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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 describes consumers’ working related activities, e.g., the propensity of
- Time driving to work by the minute
- Number of people in the vehicle when driving to work
- Public transit time to work by the minute
- Commute to work by mode of transit
- Involvement of business purchase decisions and value
- Involvement of business purchase decisions by category:
– Traveling
– Computer hardware, software, education/training
– Convention arrangement
– Courier services
– Handheld communications
– Long-distance telephone services
– Office equipment
– Office food catering
– Office supplies and phones
– Office furniture - Security services
- Business size
- The number of business trips by mode of transportation: Air, rail, car, bus, etc.
This data product is important for public transportation and economic development. It is also very useful for B-to-B companies to identify decision-makers. Knowing driving time is strongly correlated to radio listenership, companies can use information in this database to identify best prospects reachable via radio.
This data product is mainly based on 8 years of the Return-To-Sample survey by Numeris (formerly Bureau of Broadcast and Measurement). We also integrated Census and NHS 2011 (National Housing Survey), and Manifold’s predictive modeling techniques. We identified and confirmed robust consumer product usage patterns in the survey data and extrapolated them into the propensity score for each of the 6-digit postal codes.
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*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 propensity score of consumer restaurant visits, including:
- Frequency of coffee restaurant visits, e.g., Coffee Time, Tim Hortons, Starbucks, etc.
- Frequency of fast food restaurant visits, e.g., A&W, Burger King, McDonald’s, Subway, Wendy’s, etc.
- Frequency of restaurant visits, e.g., Boston Pizza, Pizza Hut, Swiss Chalet, etc.
- Frequency of restaurant visits by type: breakfast style, burger/pizza restaurant, high quality formal dine-in restaurant, etc.
- Usage of food services like take-out, home delivery, online order, etc.
- Spending on restaurants: business and personal.
Information in this database is very useful to food and catering companies for customer insight, trade area and competitive analysis, and optimization of flyer distributions.
This data product is based on 8 years of the Return-To-Sample survey by Numeris (formerly Bureau of Broadcast and Measurement). We also integrated Manifold’s CanaCode lifestyle clusters and predictive modeling techniques in developing this database. We identified and confirmed robust consumer restaurant visiting 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 provides a propensity score of consumer leisure activities, including:
- Video/DVD rentals: channel, frequency, and spending
- Purchase of lottery tickets: type, frequency, and spending
- Visit of Casinos: type and frequency
- Attendance of schools and learning centers
- Search for jobs
- Dating activities
- Live events like weddings, a child born, retire, promotion, change job,…
- Attendance of local attractions: type and frequency
- Attendance of concerts/theatre: type and frequency
- Attendance of live sports events: type and frequency
- Visits of consumer shows: type and frequency
- Participation of general leisure activities: type and frequency
- Participation in sports activities & events, e.g., golfing, skiing, jogging, …
This data product reflects consumer lifestyles from various perspectives. Through leisure activities, companies can gain a better understanding of what their customers may like, value and participate, and then optimize their approaches for engagement. This database is indispensable for companies striving for a holistic engagement with their customers and prospects. It can help companies segment their customers better and tailor their products/services by lifestyles.
This data product is mainly based on 8 years of the Return-To-Sample survey by Numeris (formerly Bureau of Broadcast and Measurement). We have also integrated research publications on consumer lifestyles and behaviour, and Manifold’s predictive modeling techniques. We identified robust consumer leisure activity patterns in the survey data and extrapolated them into the propensity score for each of the 6-digit postal codes.
Most Recent Update |
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2023
Available Geographic Levels |
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6-digit postal code, FSA, DA, CT, CSD, CD, and custom geography
Update Frequency |
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Annual
Methodology |
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This data product is based on the Return-To-Sample survey by Numeris, publications of Statistics Canada and market research companies, and Manifold’s predictive modeling techniques. We identified robust consumer media usage patterns in the survey data and built hundreds of predictive models to extrapolate them into the propensity score for each of the 800,000 6-digit postal codes in Canada.
Validation is performed with in- and out-of-phase survey data to ensure accuracy of the predictions.
Data Format |
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CSV
Sample Reports |
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Please complete the form below to access our data dictionaries and sample reports
Data Dictionary |
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Please complete the form below to access our data dictionaries and sample reports
How To Get It |
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