Inside the Noibu Ecommerce Analytics & Monitoring Platform
Noibu is an ecommerce analytics and monitoring platform that unifies site monitoring, experience analytics, and conversion growth opportunities in one place. Once its script is deployed, it continuously watches real shopper sessions across your site, detects the technical issues and friction points hurting conversion, estimates what each one costs in revenue, and shows you exactly where to look first. This guide walks through every part of the platform, from the Home page down to the AI plugin, so you can see how the pieces fit together.
Most monitoring tools answer one question: is the site up? For an ecommerce team, that's the wrong question. A site can return a 200 on every health check and still lose sales to a checkout error on one browser, a slow product page on mobile, or a button that does nothing when a shopper taps it. Noibu is built to catch the gap between "up" and "able to sell" — and to tell you what that gap is costing you. Here's how the platform does it, section by section.
The Home page: site health at a glance
The Home page is the first thing you see, and it's designed to answer "what needs my attention right now?" in a few seconds. It gives a real-time snapshot of overall site health: total estimated revenue loss across active issues, your top priority issues ranked by impact, and funnel disruption across key checkout stages. Instead of a wall of green dashboards, you get a short, prioritized read on where revenue is leaking today.
Issues & Alerts: find what's breaking and what it costs
Issues & Alerts is the always-on monitoring layer. Noibu detects technical issues related to your site's core ecommerce functionality — the shopping cart, checkout, product pages, contact forms, coupons — across JavaScript, HTTP, GraphQL, and image errors. Rather than dumping a raw error stream on you, it groups recurring errors into actionable Issues, and for each one it automatically tracks frequency and affected sessions, estimates funnel impact and revenue lost, and generates a plain-English summary of what's happening.
That revenue ranking is the point. It's the difference between "you have 300 errors" and "this cart error is costing you the most this week, here's the session proof, fix it first." Alerts then move you from reactive to proactive: custom alerts notify your team when new issues appear, when errors spike after a release, or when checkout and payment problems occur, delivered by email or Slack. This is the layer that answers the buyer refrain of wanting to identify errors before customers or internal teams flag them. Our guide to ecommerce error monitoring goes deeper on this layer.
Session Replay: watch the friction happen
Noibu captures 100% of user sessions as session replays — no sampling. These video-like recordings, reconstructed from event-level data with PII masked, let you watch real customer journeys exactly as they happened and see how friction affected them. Because Noibu is built for ecommerce, replays carry signals that generic tools miss: rage clicks, funnel stage, payment failures, and other hidden friction. You can search sessions with more than 50 filters or with natural-language AI search, so you find the exact session you need instead of scrubbing through hundreds.
This is what turns a vague support ticket into evidence. When a shopper says the site is "broken," the replay shows precisely what they experienced and where they got stuck. More on this in our guide to session replay without sampling.
Performance Monitoring: speed measured in conversions
Performance Monitoring tracks Core Web Vitals using real-user data, so insights reflect how customers actually experience your site rather than a synthetic lab score. Noibu monitors loading speed (LCP), interactivity (INP), and visual stability (CLS) over time, benchmarked against best-in-class ecommerce brands, and surfaces which slowdowns are actually costing conversions. The goal isn't a perfect score everywhere — it's finding the slow templates that are quietly losing you sales. See our guide to finding slow pages that hurt conversion.
Release Monitoring: know what every deploy did
Shipping code is easy. Knowing what a release actually did to your site is where most teams go blind — the buyer who says a release broke conversion and we didn't find out for two weeks is describing exactly this gap. Release Monitoring closes it by automatically connecting every deployment to changes in stability, performance, and behavior, comparing site behavior before and after each release. It validates that a release was clean and catches regressions before they quietly erode revenue, so "conversion dropped on the 1st, what did we ship that day?" becomes a one-look answer.
Page Analysis: how shoppers actually use each page
Page Analysis provides a page-by-page view of user behavior, technical issues, and performance across page groups like PDPs, PLPs, and Checkout. It brings together clicks, scroll behavior, heatmaps, and entry and exit flows, so UX, product, and growth teams can see how a template really performs and whether a redesign or experiment moved the needle. Because it sits in the same platform as errors and performance, a cluster of dead clicks, a script error, and a slow load can be read as what they usually are: one problem wearing three costumes. More in our guide to using Page Analysis to improve conversion.
The Noibu plugin for AI: your store data inside your LLM
The newest way into the platform isn't a page in the console at all. The Noibu plugin for AI gives your team live access to your Noibu data — sessions, journeys, funnels, heatmaps, errors, and performance — directly inside your LLM. After a quick install, you can ask questions about your store in plain English and get answers grounded in your actual data, not generic AI guesses.
The difference from asking a general-purpose AI is the data layer underneath. A generic LLM doesn't know your store, so it falls back on guesses. Single-platform AI only sees its own slice. Noibu is the layer that brings ecommerce-native behavioral, technical, and revenue data — modeled on real ecommerce concepts like funnel depth, cart abandonment, and checkout drop-off — into the conversation, so the answers are about your funnel, your carts, your checkout.
To make common investigations repeatable, the plugin ships with pre-built skills that run structured analyses you'd otherwise stitch together by hand:
What makes the plugin more than a chat window is where the answer leads. When an analysis points to action, your AI tool can hand the work off to other tools you've connected — drafting a Slack update, opening a Jira ticket, writing up a Notion doc, or generating a code fix as a pull request for your team to approve. Noibu provides the diagnosis and the data; your team approves what ships. You can also reference Noibu data against other connected parts of your stack — Shopify, ads, search, support tools — so a question like "which paid campaigns send traffic that doesn't convert, and what's wrong with the pages they land on?" is one conversation instead of a day across five dashboards.
A practical way to think about the boundary: Your LLM can read all of your Noibu data and can update issue states when you explicitly ask, but broader admin work — setting alerts, configuring page groups, managing teammates — stays in the console. The plugin is for asking and acting on questions; the console is for managing Noibu and its curated, in-depth views. New to it? Start with what the Noibu plugin is, then see how ecommerce teams actually use it.
Console or plugin: when to use which
Most teams use both surfaces, and they're complementary rather than competing.
Why it all lives in one platform
The reason Noibu unifies these product lines is that a single revenue leak rarely shows up in just one. A slow PDP is a performance problem, a script error on its add-to-cart button is an errors problem, and a cluster of dead clicks there is an experience problem — and they're frequently the same problem seen from three angles. Monitoring that keeps these in separate tools makes you reassemble the story by hand. Noibu hands you the story already assembled, with every issue ranked by the revenue it's costing. For the bigger picture, see our guide to ecommerce site health monitoring.
Frequently asked questions
Related topics
- What is ecommerce monitoring, and how is it different from A
- What is the Noibu plugin, and how does it connect your data to AI?
- What does complete ecommerce site health monitoring look like?
Seeing the whole platform on your own store is faster than reading about it. Noibu connects your errors, performance, sessions, and page behavior in one place and ranks everything by the revenue it's costing, so your team starts every week knowing the most valuable thing to fix.
See the platform on your own store. Get a free website audit or request a demo to see every layer connected on your real data.
