Retyan A.

One thing I learned being on the revenue leadership side: the hardest part wasn’t finding data, it was knowing where to focus. I saw accounts with “healthy” dashboards still churn unexpectedly, while expansion opportunities were buried in signals nobody was connecting early enough. That challenge is what led us to build Riley. To help revenue teams surface changing customer signals and turn them into proactive next steps before the numbers move. The goal is simple: help teams know which accounts need attention and what to do next instead of reacting after the fact. Happy to share how we’re approaching proactive account prioritization if useful to anyone here.

Halfway through H1, how many revenue teams can confidently say they already know which accounts are most likely to churn before Q3 starts? 👀 One pattern I keep noticing: the “healthiest” accounts in dashboards are sometimes already quietly disengaging underneath. Stakeholders disappear, urgency fades, usage shifts subtly — but the health score still says green. By the time the forecast reflects the risk, the customer has usually been slipping for months. Wondering.. what signals your team actually trusts when an account looks healthy on paper but feels off operationally? 🤔

Dashboards are failing modern teams. When millions in revenue are at risk, teams need GPS-like technology to minimize risk, not static, backward-looking reports. The best companies are already shifting: From hindsight to real-time action. They’re building a GPS for revenue: Connecting customer signals directly to decisions and outcomes. We’re seeing it in action: • CPG brands shifting placement weekly • B2B teams improving close rates through live insights. This is where revenue teams are heading. Schedule time with me to see this in action.

For revenue leaders, including myself, one of the toughest challenges is identifying which customers are at risk of churning, where expansion opportunities are being missed, and what revenue risks are emerging before they show up in your pipeline or forecasts. We’re hosting in San Francisco on May 6, where we’ll explore how leading teams are using AI and real-time signals to protect and grow revenue more proactively. Joining the discussion: • Nicole Looker — Director of Revenue Operations @ Rebuy Engine • Erin Koops — Director of Product Marketing & Commercialization @ Closinglock • Simon Tiu — Principal @ Vertex Ventures US Moderated by Claudia Natasia — CEO @ Riley RSVP here https://luma.com/x9bgr0j2

Looking for RevOps leaders who want to know which customers they'll lose, before they lose them 🚨 What if your revenue team had a personalized GPS? Not just showing where accounts stand, but telling you with confidence: "change course now and you'll save this deal" or "double down here and unlock 20% more growth.” That's Riley (https://www.askriley.io) Health Signals. Since early access, teams have made 1,000+ proactive decisions and generated up to $1.5M in additional revenue, shifting from reactive firefighting to a predictable, signal-driven rhythm. One team caught a silent disengagement weeks out and saved a $280K deal with a single conversation. The signal was there. It just needed to surface at the right moment. Would love to get you to see this feature in action, and give it a try. Drop me a DM and let's find time 🙌