How we help
Data Analytics and Data Science Teams
Access credible and clean consumer spending data with customizable levels of granularity and frequency so you can focus on what matters most – communicating the story.
Discover the data you need.
Finding the right data set can be challenging. Data scientists need relevant, reliable, accurate and complete data to understand what needs to be measured and identify the challenges that offer the best opportunities. Moneris Data Services offers card-agnostic consumer payment that includes secure and anonymized data from all industries, card brands and geographic areas. Using our proprietary algorithms, you can tailor the data set to identify and compare specific elements, saving time and money from having to validate and pre-process data from different sources. Instead, we can offer custom solutions that provide reliable data with the granularity and frequency specific to your unique needs.
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Understand customer behaviours
Help drive growth and enhance customer experience by aligning marketing and strategic decisions to changing consumer trends and spending patterns.
Key insights:
Consumer Spending Trends
Buying behaviour
Moneris Analytics Token
Compare and contrast consumer buying behaviour while ensuring anonymization and security of the consumer payment data.
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Measure new or returning customers, as well as those with high attrition risk using metrics such as frequency, recency and basket size of purchases across time and different stores.
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Reveal which stores attract repeat customers and whether store’s locations are too concentrated serving the same customer base.
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Monitor performance, better predict future revenue targets, and make smarter strategic decisions to increase your customers lifetime value.
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Better manage refunds or returns by understanding transaction patterns or by searching for anomalies in customer returns.
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Assess buying patterns for specific products across multiple locations, and further understand how different types of customers (e.g. new vs. loyal) shop at your stores.
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Better understand shopping behaviour across categories or different products groups, including repeat purchases.