SaaS leaders face pressure to differentiate, grow revenue, and keep customers engaged. Product analytics offers a direct path to do all three. By embedding insights into their products, companies can create premium feature tiers, sell analytics as add-ons, and increase retention through daily reliance. Customers now expect self-service, branded, and intelligent dashboards as part of the experience. Meeting these expectations requires SDK-first integration, white-labeling, scalable pricing, and trusted connections to data. Platforms like Reveal enable product teams to embed analytics inside the product, turning it from a cost center into a revenue engine.

In SaaS, speed to launch determines market success. Yet analytics often becomes the slowest part of the roadmap. Customers expect dashboard analytics at launch but developing that in-house can put a drain on resources which often leads to significant delays Embedded analytics solves this by integrating reporting directly into the product, cutting development cycles and improving adoption. Beyond launch, it supports retention, monetization, and advanced capabilities like AI. With SDK-first integration, self-service dashboards, white-label control, and predictable pricing, Reveal helps SaaS leaders reduce time to market and deliver analytics that scale with their product.

Product leaders need analytics that scale with their app, not retrofitted BI tools. Looker offers strong visualizations and tight Google Cloud integration. But its use of LookML, iFrames, and user-based pricing makes it hard to embed in customer-facing products. 

As SaaS teams grow, these constraints slow development, increase costs, and limit flexibility. That’s why more teams are replacing Looker with Reveal—an embedded analytics platform built for speed, scale, and predictable pricing. 
This article breaks down where Looker fits, where it falls short, and why modern SaaS teams are moving on.

Churn happens when users lose sight of value. Customer retention with embedded analytics means showing outcomes where they matter—inside your product. This guide breaks down how SaaS teams use real-time dashboards, role-based insights, and self-service tools to keep users engaged and reduce churn. See how platforms like Reveal make retention scalable, measurable, and built into the experience.

For SaaS companies, user growth should accelerate success, not burden your analytics infrastructure. Yet for many SaaS leaders, BI costs surge faster than customer acquisition, and legacy systems struggle to cope with growing data volumes and concurrent user demands. The result? Your analytics can’t keep pace with product momentum, turning scalable analytics into a distant […]

Most enterprise BI platforms were built for internal reporting, not for modern SaaS products utilizing customer-facing analytics. They sit outside your application, fragment your UX, and delay decision-making. Modern enterprise software requires analytics that are intuitive, embedded, and self-service by design. Reveal was built to deliver exactly that—with no iFrames, no handoffs, and no compromises.

Embedded analytics has become a critical requirement for modern SaaS products. Whether you’re building an application from the ground up or adding dashboards into an existing application, the ability to seamlessly integrate analytics into your UX—without compromising speed, scale, or flexibility—can significantly impact user experience and development velocity.

Learn how dashboard linking can provide seamless navigation between interconnected dashboards and enhance your data exploration.

Embedded analytics tools like Reveal help users create beautiful, high-effective dashboards with the right purpose, chart type, essential data, and effective interactions in half the time.  

Making Reveal accessible to all types of business users, regardless of their experience and expertise, has always been our priority. Here’s how we achieve that: