Turning Payment Data into Action: Inside Yuno's New Payments Concierge

Issues don't announce themselves. By the time you notice, revenue is gone.

Declining approval rates, underperforming PSPs, and the wrong payment methods for the wrong markets are hard to catch until it's too late. Most heads of payments know something is failing — but not why, and not what to do next.

It's time to move from guesswork to clear, AI-driven recommendations.

In 30 minutes, you'll learn practical frameworks for analyzing your payment operations, and see how Payments Concierge automates each one.

• 01

  Smarter Routing Starts with the Right Segmentation

  Learn how to segment approval rates by country, card brand, and payment method to spot which PSP actually performs best where — and why aggregated approval rates hide the real picture. We'll share the variables you should be comparing and the ones that mislead (e.g., mixing 3DS and non-3DS transactions, or comparing tokenized vs. non-tokenized flows across countries distorts your benchmarks).

  Then we'll show how Payments Concierge runs this analysis continuously across your full provider stack and surfaces a specific routing recommendation.

• 02

  Rejection Analysis: Reading Between the Decline Codes

  Most payment leaders stop at "transaction declined." We'll walk through how to build a useful rejection analysis manually — grouping by issuer, isolating soft vs. hard declines, and identifying which rejection codes are actionable vs. noise.

  From there, we'll walk through how the Concierge maps rejection patterns at the issuer level and recommends specific next steps for each failure cluster.

• 03

  PSP Performance Comparison Without the Spreadsheet Chaos

  We'll share a framework for comparing PSPs fairly: which variables to hold constant (country, card type, transaction type), which timeframes produce reliable data, and why you can't compare providers without normalizing for traffic mix.

  That's where Payments Concierge comes in, standardizing this comparison automatically across all your providers in one view.

• 04

  Building Your Own Early Warning System (and Its Limits)

  Learn what a basic anomaly detection process looks like: setting approval rate baselines by segment, defining meaningful thresholds, and checking week-over-week trends to catch gradual PSP degradation. We'll share the practical limits — most merchants catch issues 2–7 days late because nobody's watching dashboards at 2 AM.

  This is exactly what Payments Concierge solves: 24/7 monitoring that alerts you the moment something shifts, with a recommended course of action attached.

• 05

  Is Your Payment Method Mix Right for Each Market?

  We'll share a quick regional checklist: what payment methods actually dominate in each LATAM market (Pix in Brazil, A2A in Colombia, cash-based methods still at ~35% in Mexico), and how to audit whether your current mix matches local consumer behavior.

  We'll then demo how Payments Concierge flags mismatches and recommends adjustments by market using built-in regional intelligence.

• 06

  From Analysis to Report in Seconds

  We'll discuss what a good payment operations report should include and how most teams spend hours pulling data from multiple PSP dashboards into a single view.

  And finally, watch Payments Concierge generate a ready-to-share Excel, PDF, or PowerPoint directly in WhatsApp, Slack, or the dashboard — no exporting, no formatting.

Built for payment operations that can't afford to wait

Built for senior payment and commerce leaders

Built for Heads of Payments, VPs of Product, CFOs, and commercial leaders at companies scaling across markets. Managing multiple PSPs? Dealing with regional complexity? This session is for you.