Data Products

  This data product is estimated 2020 demographics of Canadian households covering many categories such as population, age, household and personal income, marital status, education, occupation, etc.   

• Demographic data is useful in retail location optimization planning. It helps define where the opportunity is to reach the right type of customer (by market, region, postal code, etc.).  For example, if selling a luxury item such as a Lexus where are the households that have a higher than average household income?
• Businesses can use demographic data to determine the next best steps on how to expand and optimize their product offerings.  By understanding the demographic profile and segments of consumers, business can focus  on offering the right product mix to meet needs of their customer base.
• This data is valuable in targeting top prospect households for your marketing efforts.  For example, which households have young children in a trade area around a store that will be most likely respond to a direct mail item promoting children's goods.
• This data is used for geo-spatial applications using the lat/long coordinates to build heat maps and thematic maps visually displaying the areas of highest potential for target consumers.
• Demographic data is often used to group customers into similar groups or clusters.  By grouping customers using demographic data, businesses can better understand what each segment wants and how to best  communicate product offerings with them.

 This data product estimates 2020 dollar amounts of Canadian households' spending on goods and services covering many categories such as food, shelter, clothing, pets, etc.                   

• Household Expenditure data is useful in retail location optimization planning.  It helps define where the opportunity is to reach the right type of customer (by market, region, postal code, etc.). For example, if selling pet supplies where are the households that have higher than average spending on pets?
• Businesses use Household Expenditure data to determine the next best steps on how to expand and optimize their product offerings.  By  understanding the spending behaviour of consumers and trade areas, businesses can focus on offering the right product mix to meet needs of  their customer base.
• Expenditure data is critical in determining the top prospect households most likely to spend money on a business' goods or services helping to optimize marketing spend.  For instance, a grocery store can distribute flyers to only the households around the store that spend more than average on food rather than blanketing the area with flyers.
• This data is used for geo-spatial applications using the lat/long coordinates to build heat maps and thematic maps visually displaying the areas of highest potential for the spending on goods and services.

                This data product is estimates 2020 dollar amounts of Canadian households' income, assets and debt.

• Wealth data is useful in bank, ATM and retail location optimization planning.  It helps define where the opportunity is to reach the right type of customer (by market, region, postal code, etc.). For example, if opening a new financial institution where are the households that  have a higher than average value of assets potentially for investing?
• Business can use wealth data to determine the next best steps on how to expand and optimize their product offerings.  By understanding the wealth profile and segments of consumers and the trade area, businesses  can focus on offering the right product mix to meet needs of their customer base. For example, a financial institution may offer full service brokerage services if their customer base likes to trade in stocks and bonds.
• Wealth data is useful in targeting applications when a company is trying to locate top prospect households to direct communication messages to in marketing efforts.
• Wealth data is essential in the not-for-profit sector to find out which donors have the potential to give a major gift.
• Wealth data is integral for policy development and for the implementation and evaluation across a range of areas including fiscal, monetary, taxation, social welfare and housing policy.

We offer both customer and business segmentation data products.   Each segment consists of households or businesses that share key characteristics in geography, and features and attributes.

• Customer analytics are built on the fact that acquiring a new customer is at least five times the cost, on average, of keeping an existing one. While location or market analytics looks at the external market and the opportunities and threats, customer analytics only looks at your customer base and asks questions related to retention and what more you can sell them. It's about identifying and evaluating your customer base in order to develop relationships that are profitable and sustainable. Customer segmentation begins the analytics process by making sense of your customer profile information so  that you can prioritize resources. Customer segmentation is at the core of customer analytics because it allows a firm to market to a broader range of consumers by grouping and marketing to each individual group. It also helps you discover who your best customers are, understand them better, and then turn ordinary ones into better ones. Our customer segmentation ranges from a more basis portfolio analysis that simply uses sales percentiles all the way to a customized segmentation and profile analysis based upon geography, demographics, psycho-graphics, lifestyle, product/service and transaction.