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Upside × Census

How Upside boosted email CTR by 96% with a personalized loyalty program

Upside, a retail cash back platform, built a strong marketing technology foundation with Census + Iterable + Snowflake, then collaborated with solutions partner Ragnarok to design a personalized loyalty program that improved Click Through Rate by 96%. They leveraged their customer data to create and test 80+ message variants to optimize the program.

Stats

Industry:  Consumer Apps, Ecommerce, Fintech, Payments
Headquarters: 
Company type:  B2C, FinTech
Team:  Growth, Marketing
Use cases:  Dynamic audiences, Email personalization, Granular Segmentation, Marketing personalization
Featured integrations:  Facebook Ads, Google Ads, Iterable, Salesforce, Snowflake, Zendesk

Summary

Upside is a retail cash back platform that increases the financial power of people and businesses in the real world. Since 2016, they’ve helped millions of people get more purchasing power on the things they need, and tens of thousands of brick-and-mortar businesses earn measurable profit.

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Results

What are the results of using Census and the business impacts on the customer?

  1. Hyper-personalized loyalty program: Using Census, Upside's team now has access to all their Customer 360 data in Snowflake, and they can quickly and easily sync data to Iterable to power all their personalized emails and messaging experiments. 

  2. More powerful audience segmentation: The marketing team can now build audiences on top of Snowflake using Census Audience Hub, enabling them to target new user segments with a self-serve, no-code UI designed for marketing teams.

  3. Improved advertising ROI: Upside can easily use first-party data to exclude existing users from ad targeting to improve ROAS, and retarget churned users across marketing channels.

  4. More consistent customer experiences: Upside unified their picture of the customer across internal tools to help provide seamless brand experiences. Specifically, they synced merchant data to Salesforce so customer-facing teams have complete context during customer interactions, and enriched Zendesk with historical and real-time first-party data to improve support.

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