AI Marketing Leader Cuts Onboarding From Months to Days With Snowflake Native App
Customer's Challenge
A leader in AI-driven mobile marketing sought to accelerate revenue for their new AI Marketing product. Their primary barrier was the slow, manual process clients used to share data back to the marketing technology company. This bottleneck hindered onboarding, hampered scalability, and ultimately delayed revenue.
phData's Solution
phData designed and developed a Snowflake Native App that automated and monitored the entire data sharing process. This solution enabled the marketing technology company’s clients to effortlessly set up secure, automated data shares with no coding or manual steps required, drastically simplifying onboarding and scaling operations.
Results
Working with phData helped the client reduce new client onboarding time from months to days. This improvement dramatically accelerated the realization of product revenue and allowed over 100 customers to automate data sharing without writing a single line of code. The success of this project also deepened the client’s strategic partnership with Snowflake.
The Full Story
As an innovative, AI-powered Marketing technology company continued to grow, they quickly recognized a challenge central to their growth: onboarding new clients depended on manually establishing secure data shares in Snowflake.
From the perspective of the marketing technology company’s customers, this process was complex and error-prone, creating friction that directly delayed the time to value for both parties. Without automation, each new customer deployment could require weeks or months, stalling the company’s ambitious revenue targets.
Searching for a trusted partner to help, the client engaged phData based on its reputation for Snowflake expertise and proven ability to deliver production-ready solutions fast. phData immediately set out to develop a Snowflake Native App specifically tailored to the client’s workflow and branding.
The joint teams worked iteratively: every sprint included client demos and feedback, ensuring alignment at each stage. The technical solution featured a user-friendly, step-by-step wizard for the client’s customers. Not only did it automate private listing creation and data validation, but it also integrated with the client’s notification system, alerting them the moment a new data share was established.
Under the hood, the app managed complex Snowflake API integrations, ensured data integrity with robust validation logic, and protected sensitive information with enterprise-grade security best practices.
Additional features included real-time monitoring and notifications, branding consistent with the client’s Marketplace identity, and deep integration into Snowflake’s managed and connected app capabilities.
All deliverables (ranging from architecture diagrams, deployment scripts, and user documentation) were designed for sustainability, maintainability, and minimal client friction.
In just 16 weeks, phData delivered a production-ready app, which was successfully listed in the Snowflake Marketplace. This not only enabled easy discoverability for prospective customers but also cemented the client’s position as an innovative partner in the Snowflake ecosystem.
Why phData?
phData’s status as a six-time Snowflake Partner of the Year and successful track record of leveraging automation gave the client confidence from day one. What truly set phData apart was their exceptional documentation and thorough knowledge transfer. Deliverables like detailed architecture diagrams, deployment guides, and user manuals enabled the client to seamlessly maintain and scale their solution well beyond launch.
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