Fullstory Shows You Sessions. It Won't Show You Lost Revenue.

FullStory is a powerful digital-experience and session-analytics platform — strong autocapture, searchable session replay, and frustration signals like rage clicks. But it's a general behavioral tool used across many industries, not one built for ecommerce, and it shows teams what shoppers did without telling them what each problem is costing in revenue. Ecommerce teams looking for a FullStory alternative usually want the same visibility translated into dollars at risk and a prioritized fix queue — plus checkout and cart treated as first-class, not just another page.

What Fullstory does well

Give credit where it's due, because it shapes when you should and shouldn't switch. Fullstory's autocapture (Fullcapture) records the full DOM without manual tagging, so you can search sessions by behavior — "clicked Add to Cart but didn't check out" — and watch the exact journeys that match. It surfaces frustration signals, has matured its AI session summaries, and is polished enough to serve product, UX, and support teams across a business. For a cross-functional team that needs deep, flexible behavioral analysis across a whole digital product, it's a serious platform.

If your question is "show me what users did and let me slice it any way I want," Fullstory answers it well. Ecommerce asks a narrower, sharper question — "which of these problems is costing us the most money, and what do we fix first?" — and that's where a general tool leaves you doing the translation yourself.

Where Fullstory leaves ecommerce teams guessing

1. It shows behavior, not dollars at risk

This is the core gap. Fullstory will show you that shoppers rage-click a step, or that a segment abandons after an error. What it won't do is tell you that this issue is costing roughly $12,000 a month and that one is costing $400 — so you can rank the fix queue by revenue. Without that, prioritization comes down to which session looked most dramatic, and engineering time gets spent on the loudest problem rather than the most expensive one.

2. Session-based pricing and caps at ecommerce scale

Fullstory prices by monthly session volume, and capture pauses when you hit your plan's ceiling. At real ecommerce traffic — and especially during a sale or peak event, exactly when the stakes are highest — that model means either rising cost or gaps in what you captured. For a store that needs to see every checkout, "we hit the cap on Black Friday" is an expensive sentence.

3. It's built for general digital experience, not ecommerce

Fullstory competes in horizontal product analytics and DXA. That breadth is a strength for a general product org and a weakness for a store: checkout, cart, payment failures, and revenue impact aren't first-class concepts you get out of the box — they're things you configure and interpret yourself. A purpose-built ecommerce tool starts where Fullstory asks you to end up.

4. Retention windows are short by default

Standard data retention typically runs 30–90 days, with longer windows costing more. For seasonal analysis — comparing this peak to last year's, or investigating an issue that surfaced a quarter ago — that can mean the sessions you need are already gone.

What to look for in a Fullstory alternative for ecommerce

• Revenue-impact prioritization — every issue ranked by the dollars it's costing, so you fix the most expensive thing first.
• 100% session capture, no caps or sampling — full coverage through peak events, not a metered percentage.
• Checkout and cart as first-class — funnel depth built around where revenue is actually won or lost.
• Technical root cause tied to the fix — not just that shoppers struggled, but the error or failed call underneath it, so engineering can act.
• Proactive surfacing — the tool tells you what to look at, instead of making you hunt through sessions.

"Noibu allows us to apply that same rigor to error management, ensuring we only spend effort on the 5-10% of issues that drive real impact."
— Sébastien Ribeil, Head of Digital Factory, ETAM Group

How Noibu compares

The simplest framing: Fullstory shows you sessions. Noibu shows you what those sessions are costing you — and what to fix first. Noibu is an ecommerce analytics and monitoring platform with 100% session capture and session replay carrying ecommerce signals, issue detection that ranks every problem by revenue impact, and checkout treated as the center of the funnel rather than one more page to configure.

"It's not just about what's broken — it's about what we can improve. Noibu helps us uncover what's costing us money, even if no one's reporting it."
— Eric Kelsey, Sr. Technical Product Manager, Champion

When Fullstory is still the right call

If you're a large cross-functional product organization that needs deep, flexible behavioral analysis across web and mobile apps — and ecommerce is only one part of what you do — Fullstory's breadth and autocapture are hard to beat, and it may be the better fit. The case for a switch is specifically about ecommerce depth: revenue-impact prioritization, full capture at peak, checkout as the center of the funnel, and technical cause tied to the fix. If those are the things you keep wishing Fullstory did, that's the signal.

Related topics

• How to find where customers drop off in checkout
• What is customer experience monitoring for ecommerce?
• How does Noibu compare to Lucky Orange?

FullStory is a strong tool for seeing what shoppers do. If what you actually need is to know what those behaviors are costing you — and which fix protects the most revenue — that's a different job, and it's the one an ecommerce-purpose-built platform is built for.

Get a free website audit → See the issues on your store ranked by the revenue they're costing you — not just the sessions behind them.