---
title: "Why Subscriptions Fail: The Renewal Problem | Yuno"
description: A 30-minute webinar on why renewals decline, why extra retries lower approval rates, and how to rebuild your recovery schedule. Watch on demand.
image: https://landings.y.uno/hubfs/raw_assets/public/yuno-webinars/og/why-subscriptions-fail-og-infocus.png
---

infocus[by](https://www.y.uno)Payments, AI and tech, explained

On Demand

# Why subscriptions fail: the renewal is a stranger

Your first charge earns the issuer’s trust. Your renewal arrives without it. This session shows what the bank sees at month two, and why turning retries up makes the next charge harder to approve.

Available on demand | 30 minutes + Q&A | Recorded 22 September 2026

![Piotr Sierpinski](https://landings.y.uno/hubfs/piotr.png)

**Piotr Sierpinski**Europe Business Development Manager, Yuno

## Watch the recording

Fill in your details and we’ll send the recording straight to your inbox.

About This Session

Every subscription business carries a number it would rather not look at: the share of cancellations nobody chose. The customer did not quit. A payment failed, a retry failed, and the account closed itself. The reason codes point to insufficient funds, so the standard response is to retry more often. This session argues that reading is usually incomplete – and that the response makes the next charge harder to approve.

The Challenge

## The renewal is not the same transaction as the signup

Enterprises lose 9–20% of annual revenue to payment failures, and recurring businesses carry that loss twice. A declined renewal costs the charge and the customer behind it. Yet the renewal reaches the issuer carrying almost none of the evidence that earned approval the first time – the customer context, the authentication outcome, the credential history that made the signup look legitimate.

So the bank sees a familiar card and an unfamiliar request. Merchants who respond by turning up retry frequency often watch approval rates fall on healthy traffic instead, because issuers and risk engines price how often a merchant asks. The recovery tactic and the approval problem turn out to be the same mechanism.

The question is not how many times to retry. It is which of your failed renewals were ever recoverable.

What You Will Learn

## In 30 minutes plus Q&A, you will walk away with:

00:00 → 30:00

Chapter 1

### How to Split Your Failed Renewals in Two

Separate the renewals you lost to genuinely empty accounts from the ones you lost to issuer distrust. Most merchants have never drawn that line, and it changes what you build next.

Chapter 2

### What the Renewal Drops That the Signup Carried

Walk one renewal end to end and mark every point where evidence disappears – credential identity, network transaction history, customer and device context.

Chapter 3

### Why Your Retry Schedule Is Working Against You

Recovery drops off far earlier in the sequence than most schedules assume, and burst timing feeds the risk models that score your traffic. Learn to aim retries by decline reason instead of a fixed calendar.

Chapter 4

### Why a Backup Provider Does Not Rescue Renewals

Card-on-file credentials are provider-bound, so a renewal cascaded to a second provider arrives with no history. Understand what portable credentials change.

Chapter 5

### How to Measure Subscribers, Not Attempts

The four reporting cuts that expose renewal performance: rebill approval, decline reason net of retries, recovery by attempt number, and revenue by plan.

Why It Matters

## Involuntary churn compounds every month you do not measure it

### The Split You Have Never Run

A method to separate credential distrust from genuine insufficient funds inside your own decline data.

### A Retry Schedule That Earns Approvals

What changes when attempts are aimed by decline reason and timing rather than a fixed calendar.

### Reporting at Subscriber Grain

The four cuts that make renewal performance legible to finance, support, and payments at the same time.

Who This Is For

## Built for the people who own recurring revenue

Written for Heads and VPs of Payments, billing and subscription owners, CFOs tracking revenue leakage, and CPOs measured on retention. It assumes you already run card-on-file across several markets and more than one provider. If your renewal approval rate sits below your first-charge approval rate and nobody can tell you why, this session answers that.

Head of PaymentsVP of PaymentsBilling & SubscriptionsCFOCPO / Product

About Yuno

Yuno is the AI-native intelligence system of global payments and financial services — the neutral layer the whole ecosystem runs on: every provider, every rail, every market.

Your Speaker

![Piotr Sierpinski](https://landings.y.uno/hubfs/piotr.png)

Piotr Sierpinski

Europe Business Development Manager, Yuno

Piotr has spent nearly a decade on the payment problems that recurring revenue creates. He held roles at PayU and PayPal CEE, then led Sales Engineering for EMEA. Today he leads Yuno’s business development across Central and Eastern Europe, the Baltics, Cyprus, Malta, and Israel – a region dense with subscription businesses billing customers worldwide.

[Watch the recording](https://landings.y.uno/why-subscriptions-fail#register)

infocus[by](https://www.y.uno)Payments, AI and tech, explained

Yuno is the AI-native intelligence system of global payments and financial services.

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