Why?

Why Customer-Facing Analytics Matters

Analytics has become part of the core value of an online platform.

Stripe’s dashboard, for example, became the industry benchmark for payments. Spotify Wrapped turned data into a cultural moment.

These are no longer just “nice extras.” They’re reasons people remember your product - and choose it over others. Great analytics make products sticky. They create delight. They drive growth.

The Problem

The challenge is that building great analytics experiences is really hard.

While creating charts and data endpoints can be simple, delivering that to your customers isn’t the finish line - it’s the starting point. When you give someone data, they inevitably have follow-up questions, want new views, and expect it all to match their workflow. Needs diverge, and over time it becomes painful and time-consuming to maintain, let alone extend or improve.

That’s why companies run into walls. Most end up choosing between two bad options:

1. Build it yourself - gives you tight integration, but the costs add up fast. You’re committing engineering resources to build and maintain a system that’s never “done”:

1. Every new customer request spawns another round of engineering work.
2. Scaling across datasets, tenants, and permissions gets increasingly complex.
3. UX polish and performance tuning always lag behind because core product work takes priority.
4. Over time, analytics becomes a maintenance burden that slows the whole team down.

‍2. Buy off-the-shelf - fast to ship, but clunky, slow, and never feels like your product. These tools come from the world of internal business intelligence (BI) – built for analysts, not your customers:

1. They prioritise querying power and rigid UX, and frequently have a steep learning curve.

2. They’re often architected for single-tenant databases, making scale painful.
3. They’re typically embedded via iFrames, producing dashboards that feel bolted-on and disconnected.
4. They lack product-engineering essentials like code versioning, CI/CD, and QA.

For internal data teams, these tradeoffs are tolerable. But for customer-facing apps, they’re dealbreakers. Users expect lightning-fast load times, seamless on-brand experiences, and analytics that feel like part of your product – not an afterthought.

In essence, both approaches force compromise. Neither delivers the experience your users deserve.

The Solution: Embeddable

We built Embeddable as a better, next-generation alternative.

It’s a purpose-built customer-facing analytics platform that makes it simple to deliver analytics your users love, at scale:

• Fully native to your product.
• Secure and lightning fast.
• Full control over the UI, in code.
• Live in 10% of the time.

With Embeddable, you don’t have to choose between speed and quality. You get both.

Our Mission

We’re building more than a platform. We’re building a community of engineers, designers, and product leaders who care about user-facing analytics done right.

Our mission is simple:

• Make analytics feel native.
• Help teams move much faster.
• Raise the standard for data experiences everywhere.

Join Us

Are you ready to raise the bar?

Let’s shape the future of embedded analytics, together.

— Tom, Harry & Co.

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