What Happens to Revenue If We Do This? Meet Forecast Studio

Forecast Studio

You’re making high-stakes revenue decisions with half-tested assumptions and a deadline you can’t move. This release is built for exactly that moment.

Forecast Studio: From Questions to Revenue Impact

Forecast Studio is built for the moments when someone asks, “If we do this, what happens to revenue?”, and you don’t have weeks (or even days) to find out.

For example:

• Launching a Q2 marketing campaign targeting 18–34 year olds in the Midwest and measuring its projected revenue impact for the rest of the year
• Modeling how temperature changes affect regional beverage sales
• Simulating the impact of a new AI competitor entering the mid-market by adjusting win rates and pipeline outcomes

On Riley, you can now use built-in decision modeling to generate charts and statistically grounded projections in seconds, work that previously took weeks of manual analysis, custom models, and cross-team coordination.

Watch the full tour of Forecast Studio

The Interface You’ll Actually Want to Work In

We redesigned the Riley experience to get out of your way and let you move faster, especially when you’re exploring data, pressure-testing ideas, or preparing for decisions.

What’s new:

• Dark Mode, for long sessions and late-night thinking
• One-page workflows, so everything you need lives in a single, focused view
• Your data, in one place, without jumping between tabs or modals
• Faster load times (2.5x improvement), even with large datasets
• Faster search, so answers show up when you’re actually looking for them

Watch a complete walkthrough of the new interface

Model Updates: Faithful to Your Data, and Its Context

The model that analyzes your data is now more accurate and more precise.

We’ve improved how Riley processes and interprets large, messy datasets so it can pick up on subtle signals that were previously easy to miss; small mentions, side

comments, and low-frequency patterns that often carry outsized importance.

This means Riley is better at:

• Picking up on small but relevant mentions that materially change the interpretation of your data
• Connecting related details across long conversations, documents, and datasets, even when they’re not repeated or emphasized
• Preserving context so insights reflect what was actually said or observed, not just the most frequent or obvious signals

The result is analysis that stays faithful to your data and its context, so subtle but important signals aren’t lost, averaged away, or misinterpreted when you’re making decisions.

You’re committing the roadmap and the number at the same time. This release helps you defend both.

“What happens to revenue if we do X?”

Riley is built for that moment.

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If you’re curious, we’re happy to walk through how it works: Book a demo