Discover how we are helping organizations use data analytics for evidence-based decision making to improve marketing, guide their high-level strategic planning and drive operational improvements.
To understand the impacts of COVID-19 lockdown measures on key business and retail corridors, the DVBIA needed data on their visitor base to compare with pre-pandemic levels.
To attract a larger and more diverse audience, TPP required actionable data to gain a detailed understanding of their different visitor segments and the best ways to engage with each of these groups.
A segmentation analysis helped provide TNSE with a more complete view of their fans, who attended games and what the market potential was for TNSE’s brand at large. Leveraging these data resulted in generating greater ROI for their direct mail campaign.
CWAS linked mobile movement data with customer and third party data to generate consumer insights that influenced every aspect of CWAS managed properties, from the design and amenities to the retailers and special events that attract shoppers.
Tyndale University maximized limited resources for its admissions and fundraising programs by investing in data and analytics tools which helped to improve its enrollment funnel and prospect pool.
For the first time, Tourism New Brunswick was able to link the customer segments it targeted in its campaigns to actual visitation to the province with the help of mobility analytics.
Small business owners in York Region needed the right tools to quickly and easily access market intelligence to help grow their business. ENVISION is helping with this journey.
With the help of the Harry Rosen loyalty program, the retailer maintains detailed purchase histories for each customer, which allows staff to predict what products customers may be interested in next.
Using a win-back model, the Heart & Stroke Lottery reduced marketing spend, increased response rates and realized a 54 percent increase in year-over-year profit.
See how Union Gas accelerated adoption of their paperless-billing campaigns by creating consumer segments and sending targeted incentives through the most effective channels.
J. Richard Hill & Co used data and analytics to determine the ideal luxury retail tenants to approach for its client, Wai Kai Commercial Development, LLC.
To deliver on its promise to be a community leader that puts its members first, Westoba needed to develop a clear picture of its member base by identifying their needs and serving them effectively.
Using gap analysis Atlantic Central was able to help its members find opportunities, inform their regional marketing plans and identify which products to focus on by region.
Using data and analytics the Mackenzie Health Foundation was able to significantly improve campaign response rates, reduce costs and increase donations.
Before launching a nationwide online grocery business, Walmart Canada wanted to better understand the shoppers who had been using the service in test markets.
To better understand its urban buyers General Motors created a local segmentation model, which informed the automakers' marketing and sales strategy in Toronto.
Using data and analytics SickKids Foundation was able to develop a multicultural fundraising plan to engage ethnic communities and expand its donor base.
Using data and analytics, Branded Cities created a new tool to identify the optimum locations to place out-of-home ads to help its clients reach their target audiences.
The Royal Canadian Mint used lifestyle-based segmentation to quickly develop targeted marketing campaigns and help grow its customer base.
Using data-driven profiles the University of British Columbia was able to identify a new donor population who had the wealth and ability to make a major gift.