Explo & Snowflake — Accelerating Modern Analytics for Retail SaaS Apps

May 21, 2025
Moving Customer-Centric Experiences Forward with Data and AI for Retail
Table of Contents

Moving Customer-Centric Experiences Forward with Data and AI

The retail landscape is undergoing a massive transformation. From eCommerce to brick-and-mortar stores, consumer expectations have changed. Today’s shoppers expect personalized, seamless, and real-time experiences. For Retail SaaS providers, this means building tools that empower their customers—retail brands—to act on data faster than ever before.

To meet this challenge, Explo and Snowflake have partnered to create a modern data and analytics stack tailored for Retail SaaS. Together, they’re enabling customer-centric retail by delivering real-time, AI-powered analytics that are easy to integrate, scale, and customize.

The Retail Data Challenge

Retail generates massive volumes of data: online shopping behavior, point-of-sale transactions, loyalty program interactions, customer service tickets, and more. But this data is often siloed and slow to analyze. Traditional BI systems are internal-facing, slow to update, and require technical teams to support custom reporting.

Retail SaaS platforms that want to stay ahead need a way to:

  • Aggregate data from multiple sources
  • Power real-time insights and personalization
  • Offer analytics capabilities to non-technical business customers

Enter Snowflake + Explo

Snowflake’s cloud-native data platform offers the scalability and flexibility Retail SaaS companies need to unify all their customer and operational data. Whether it's structured or semi-structured data, Snowflake handles it with ease and delivers fast query performance.

Explo, built to embed into SaaS applications, turns this unified data into interactive, customer-facing dashboards and AI powered reports. Retail SaaS platforms can now offer powerful analytics to their end users—brand marketers, merchandisers, and CX teams—without the need to build and maintain a custom reporting infrastructure.

Use Case: Embedded Customer Analytics for eCommerce

Imagine a retail analytics platform serving eCommerce brands. With Explo and Snowflake, it can offer embedded dashboards that show:

  • Sales trends by region, product category, or campaign
  • Customer retention and churn forecasts
  • Loyalty program effectiveness
  • Real-time funnel drop-off rates

All of this is powered by live queries to Snowflake, ensuring up-to-date data with every view.

Explo + Snowflake for embedded analytics

Developer Benefits

Retail SaaS teams often struggle with dev bandwidth. Explo removes the need to build analytics UIs from scratch. Developers can connect Explo directly to Snowflake and embed fully interactive dashboards using simple configuration—not custom code.

This means:

  • Faster time to market for new analytics features
  • Minimal maintenance overhead
  • More time spent on core product development

Business Outcomes

Retail SaaS providers using Explo + Snowflake can:

  • Differentiate their products with built-in analytics
  • Drive user engagement and stickiness
  • Enable faster decision-making for their end customers
  • Empower non-technical users to create custom reports with AI

Move Faster, Serve Smarter

With Explo and Snowflake, Retail SaaS platforms gain the tools they need to turn data into a competitive advantage. By delivering intuitive, real-time, customer-facing analytics, they empower their users to create the kind of shopping experiences that drive loyalty and growth.

Andrew Chen

Founder of Explo

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ABOUT EXPLO

Explo, the publishers of Graphs & Trends, is an embedded analytics company. With Explo’s Dashboard and Report Builder product, you can a premium analytics experience for your users with minimal engineering bandwidth.
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