Compare online and offline shopping habits with ClickSpend™
ClickSpend™ Powered by J.C. Williams Group allows retailers to compare the online and in-store market share of the average retailer operating in the same area. Retailers can use this database to understand their customers’ shopping habits to optimize their merchandising mix and provide offers that are more relevant to their target market. The database considers the online and offline shopping habits of consumers across 14 different product categories, including clothing, health products and food. ClickSpend is derived from the Canadian E-tail Report, a semi-annual online survey conducted by the J.C. Williams Group and is modelled to be consistent with HouseholdSpend.
- Understand the online and offline behaviour of your key customer segments in order to communicate with them more effectively and provide them with relevant offers
- Optimize the merchandise mix of bricks-and-mortar stores by focusing on items that consumers prefer to buy in-store and plan your real estate strategy to suit local markets
- Identify stores most at-risk of online sales erosion and adjust merchandise and overall experience to retain business
- Understand the marketing preferences and mindset of the offline shopper to retain those consumers near your bricks-and-mortar stores
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Create a comprehensive picture of your customers according to their shared demographic, lifestyle and behavioural traits. Discover where they live and understand their preferences to create more effective marketing strategies. In addition to custom segmentation services, we offer four off-the-shelf segmentation systems, including PRIZM, Canada’s leading consumer segmentation system.
Develop engaging media and marketing strategies by understanding the behaviours, preferences and attitudes of your target market. We partner with leading data and survey providers to produce 12 databases that offer insights on a range of topics, from media and shopping habits to attitudes on charitable giving and the environment. All of our behavioural data can be linked to PRIZM segments and are available at the postal code level.
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