Zipy Blog | Engineering, Product, Marketing, Support Teams

.svg)

Welcome to Zipy Blog

Get the best lessons, observations, and stories on Customer Experience, Developer Tools, Debugging, Monitoring and more, delivered to your inbox.

Thank you! Your submission has been received!

How Zipy AI Funnels Fix E-commerce Conversion

Most analytics tools tell you where users drop off — but not why. This post breaks down how Zipy AI-powered funnels help e-commerce teams across fashion, electronics, grocery, D2C, and multi-vendor marketplaces identify the exact reasons behind conversion drop-offs. From a broken size selector losing thousands of units a week to a silent JavaScript error killing EMI selections, each category gets a real funnel example with drop-off data and how Zipy's session replays, AI analysis, and Oopsie AI agent turn those numbers into fixable problems — in minutes, not days.
Customer Experience

The 11 Best Android Error Handling Tools for Java Developers

A crashing Android app doesn't just frustrate users - it drives them away for good. This guide compares the 11 best error handling tools for Java developers in 2025, including Zipy, Sentry, Datadog, and Firebase Crashlytics. From crash context and ANR detection to session replay and self-hosting options, learn which platform fits your debugging needs, pricing model, and tech stack to keep your APK stable and user retention high.
Engineering

AI Summaries in Zipy: Fix Issues Instantly

Zipy AI Summaries eliminate the guesswork from debugging by automatically analyzing session replays, error logs, API failures, and UI events in one place. Powered by Oopsie AI, Zipy's intelligent agent, it delivers ready-to-fix diagnostic context without manually comparing logs and recordings. This guide walks you through how AI Summaries work, what makes Zipy's "First Context" method unique, and how it can cut your Mean Time to Resolution by up to 50%.
Engineering

How To Master Zipy Custom Alerts: A Step By Step Guide

Zipy Custom Alerts are real-time, smart triggers that notify engineering teams the moment an error occurs - with Session Replays attached instantly for faster root cause analysis. Unlike basic log monitoring, Zipy shows you the full user journey leading up to a crash. This step-by-step guide covers how to configure custom alerts, set flexible trigger conditions, apply granular filters, and integrate with Slack, Teams, or webhooks to cut MTTR and eliminate reactive debugging.
Engineering

How to Use Zipy to Make Funnels in Steps

Zipy Funnels help you visualize exactly where users drop off — whether during signup, checkout, or feature adoption. Unlike standard analytics tools, Zipy combines quantitative funnel data with Session Replays, so you can watch real user sessions at the exact drop-off point. This guide walks you through setting up Zipy Funnels step by step, configuring URL filters, and using error monitoring context to pinpoint whether drop-offs are caused by bugs, broken UI, or confusing flows.
Engineering

Top 7 Best Monitoring Tools for Kotlin Apps: Expert Comparison & Pricing 2026

Keeping a Kotlin app stable requires more than fixing crashes after they happen. This guide explores the top 7 monitoring tools for 2026 and shares proven architectural strategies to reduce ANRs, handle coroutine failures, improve observability, and lower MTTR. From smart exception handling to session replay and release tracking, learn how to build a crash-resistant Android app that protects user retention and delivers consistent performance at scale.
Engineering

Stop Guessing Why Your Mobile App Crashes and When: The Mobile Session Replay Revolution

Zipy revolutionizes mobile debugging by turning crash logs into full session replays that show exactly what users did before an app crashed. It eliminates guesswork, helping developers fix crashes and ANRs in minutes instead of days. The result: faster fixes, happier teams, and more stable mobile apps with higher user retention.
Engineering

How Zipy Helps You Solve Customer Issues Within 5 Minutes: A Veteran Engineer's Take

Back in my early engineering days, nights like this were all too common. It’s 3 AM. The e-commerce platform is down. Customers can’t complete purchases. Money is bleeding out - about $10,000 every minute.
User Experience

Stop Watching Sessions. Let AI Agents Like ZipyAI Debug and Prioritize Them for You

.avif)

Imagine these magical revenue agents (Except they are not magical in reality - they are just smart) - coming in and telling you “Team - While adding new brands and new pages, you actually broke one of your payment integrations and that’s what is causing you the drop off” - fix it and you will see 10% jump in your revenue next week.
Engineering

The Role of AI in Next-Gen Mobile Debugging

When you debug an app today, you're not really debugging code. You're debugging behavior. Behavior of users, systems, networks, even the code itself, interacting in ways you didn’t anticipate. And in mobile, where everything is opaque and messy, that gets 10x worse.
Engineering

Why Flutter Developers Need Better Debugging Than Just Logs

Flutter lets you ship good‑looking apps fast. The catch is that when something snaps, it often does so quietly. Crashlytics, DevTools handy as they are don’t dig deep enough. Flutter’s own complexity demands sharper tools.
Engineering

Why Mobile Developers Need More Than Just Crashlytics

We live in a world that’s not just mobile-first anymore, it’s AI-first too. And in this new landscape, mobile apps aren’t side projects or support channels. They are the business. They drive growth, keep users engaged, and increasingly, open the door to revenue.
Engineering

Wanna try Zipy?

Zipy provides you with full customer visibility without multiple back and forths between Customers, Customer Support and your Engineering teams.