Title
AIR MILES brings brands closer to customers with Databricks
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Description
AIR MILES (LoyaltyOne) migrated its loyalty program data to the Databricks Data + AI Platform to unify billions of collector and retail partner records, building over 250 ML models for personalized marketing, revenue forecasting and fraud detection. This cut pipeline development time from 3-4 months to 2 days, delivered 100 million personalized offers per month, increased product sales 4x through personalized campaigns, and doubled collector response rates using reinforcement learning models.
…ore than 300 retailers, generating $70 billion in revenue across their network. With billions of data records from collectors and retail partners at their disposal, AIR MILES had an opportunity to foster stronger touch points with each of its loyal customers to improve retention and customer lifetime value. To achieve this, they needed…
…s 80TB Of retail consumer data ingested to support the AIR MILES Reward Program 100M Personalized offers per month powered by machine learning $600M In redemption value, contributing to $70 billion in total sales Watch vid…
Company
AIR MILES / LoyaltyOne
…00M In redemption value, contributing to $70 billion in total sales Watch video Since 1992, LoyaltyOne has owned and operated the AIR MILES Reward Program, with nearly 10 million active collector accounts earning rewards through everyday purchases at more than 300 retailers, generating $70 billion in revenue across their network. With billions of data…
Industry
Retail
…Vice President, Data Platforms & Products at AIR MILES. Share this post Details Industry : Marketing , Retail and Consumer Goods Use Case : Data Science Cloud : AWS Product : Agent Bricks Ready to get started…
Problem
AIR MILES had an opportunity to foster stronger touch points with each of its loyal customers to improve retention and customer lifetime value. To achieve this, they needed to modernize their lagging legacy infrastructure, which struggled to provide a holistic view of their customers, preventing the company from making more intimate connections. The company's data scientists couldn't access data older than 5 years, and pipeline development alone took 3 to 4 months.
…the data live every time — but the tools we were using couldn’t get us there.” The company’s data scientists couldn’t access data older than 5 years, which hindered their ability to gain a complete view into the customer. Plus, complicated queries limited what they could do with the data they did hav…
…d queries limited what they could do with the data they did have access to, and pipeline development alone took 3 to 4 months, which stifled their ability to deliver innovative solutions to market in a timely manner. Despite their clear vision and mission to productize data, AIR MILES needed a m…
Solution
With the Databricks Data + AI Platform, AIR MILES is tapping into their data across all facets of their business. The data science team is now able to quickly build, test and deploy machine learning (ML) models to deliver various use cases: the marketing team uses ML to better understand web traffic performance, the finance team more accurately forecasts revenue, customer care improves support through ML-powered dashboards, and the fraud department detects patterns and outlier behavior to ensure promotional offers are redeemed as intended.
…eliver various use cases serving a wide variety of internal teams and partners. The marketing team is using ML to better understand web traffic performance across their mobile and web platforms and how to optimize the user experience. The finance team is able to more accurately forecast revenue, and the customer care team can improve customer support through ML-powered dashboards that help them understand how agent performance metrics are tracking to their c…
…nderstand how agent performance metrics are tracking to their call center SLAs. And the fraud department can detect patterns and outlier behavior to ensure promotional offers are redeemed as intended. Menard explains, “Regardless of a user’s technical knowledge, they can access,…
Business value
Data pipeline development that used to take 3 to 4 months now takes just 2 days with Databricks. Using its product recommendation models, AIR MILES has been able to increase product sales 4x through personalized email marketing campaigns, and with reinforcement learning models has increased collector response rates to promotional offers by 2x. Through the delivery of 100 million personalized offers per month, they have driven $600 million in redemption value, contributing to $70 billion in AIR MILES sales across their network.
…performance of the platform, which results in faster insights to the end users. Data pipeline development that used to take 3 to 4 months now takes just 2 days with Databricks. Now, AIR MILES has over 100 data pipelines that deliver faster time-to-insights…
…have developed over 250 ML models to hone personalization for business growth. Using its product recommendation models, AIR MILES has been able to increase product sales 4x through personalized email marketing campaigns targeting 4.7 million opted-in collectors. With their reinforcement learning models, AIR MILES has also increased collector response rates to promotional offers by 2x. Through the delivery of 100 million personalized offers per month, they have driven $600 million in redemption value, contributing to $70 billion in AIR MILES sales across their network. “You can have a million customers, but if you don’t know who they are, you can’…
AI capabilities
Recommendation & Personalization, Predictive Analytics
…have developed over 250 ML models to hone personalization for business growth. Using its product recommendation models, AIR MILES has been able to increase product sales 4x through personalized email marketing campaigns targeting 4.7 million opted-in c…
…across their mobile and web platforms and how to optimize the user experience. The finance team is able to more accurately forecast revenue, and the customer care team can improve customer support through ML-powered das…
Technology
Agent Bricks, Databricks SQL
…try : Marketing , Retail and Consumer Goods Use Case : Data Science Cloud : AWS Product : Agent Bricks Ready to get started? Try Databricks for free Learn more about our product Talk…
…ess of a user’s technical knowledge, they can access, query and apply the data. From data analysts using Databricks SQL to execute advanced queries, to novice users accessing data insights within Tableau and Looker dashboards,…
Deployment model
AWS
…etails Industry : Marketing , Retail and Consumer Goods Use Case : Data Science Cloud : AWS Product : Agent Bricks Ready to get started? Try Databricks for free Learn more…
Deployment options
cloud
…etails Industry : Marketing , Retail and Consumer Goods Use Case : Data Science Cloud : AWS Product : Agent Bricks Ready to get started? Try Databricks for free Learn more…
Headline outcome
…S Reward Program 100M Personalized offers per month powered by machine learning $600M In redemption value, contributing to $70 billion in total sales Watch video Since 1992, LoyaltyOne has owned and operated the AIR MILES Reward…
Use case type
Personalisation
…s 80TB Of retail consumer data ingested to support the AIR MILES Reward Program 100M Personalized offers per month powered by machine learning $600M In redemption value, contributing to $70 billion in total sales Watch vid…
Capture details
- Captured
- 19 Sept 2026, 19:40 UTC
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- fetch-strip@1
- Snapshot hash
- 13f32ebf34af43e04320d766413beb931c092ae73413018fef76b5d0efe2927a