IaaSimov Convert

See where your user
experience diverges from
your intent.

Not another recording tool. IaaSimov Convert captures how users interact with your product, connects every interaction to cross-stack data, identifies where the journey diverges from expected behaviour — and proposes what to test to fix it.

The shift

You don’t need more recordings.
You need the diagnosis.

Existing tools show you what happened. They leave you to figure out why, whether it matters, and what to do about it. IaaSimov Convert closes the loop.

Your reality today
You are the integration layer
📹Session recordings in one tool. You watch them manually.
📊User journey data in GA4. You cross-reference it yourself.
📝Website copy and UX evaluated separately. Disconnected from behaviour data.
🗺️Landing page dynamics, SEO, sitemaps — another data source, another tab.
🔄You combine 4–5 sources to assemble a picture. You are the glue.
IaaSimov Convert
The unified view — capture, connect, diagnose
Sessions, interactions, rage clicks, journey flow — captured automatically.
Analyzed against behavioural benchmarks — not raw data for you to review.
Every interaction connected to campaign source, tracking quality, and cross-stack data.
Real UX friction distinguished from measurement artefacts.
A/B tests proposed to validate findings. The loop closes.
The Convert loop

Capture. Connect. Diagnose. Test.

IaaSimov’s divergence engine applied to user experience. Every observation connected. Nothing analyzed in isolation.

01

Capture the full journey

Session recordings, click density, rage clicks, scroll depth, funnel progression, page-to-page navigation, time to cart, checkout interactions. All captured automatically. Privacy-first with built-in controls.

Session replay with privacy masking
Rage click and fury detection
Click density and scroll depth maps
Funnel progression tracking
02

Connect across the stack

Every session is connected to its campaign source, its tracking integrity (was the signal complete?), its identity chain (is this one user or three fragmented sessions?), and its cross-platform data. No data point exists in isolation.

Session stitching across devices and channels
Campaign source attribution validated
Signal quality overlay — was this session fully tracked?
Complete customer profile across every touchpoint
03

Diagnose and propose

IaaSimov identifies where the journey diverges from expected behaviour, separates genuine UX friction from tracking artefacts, quantifies the business impact, and proposes specific A/B tests to validate and resolve.

Divergence detection against behavioural benchmarks
Friction vs artefact separation
Business impact quantified per friction point
A/B test proposals with expected impact
What deploys with Convert

Everything you need.
Nothing you need to stitch together.

When Convert deploys, these capabilities activate automatically. No separate tools to configure. No data to manually combine.

🎯

Session replay and analysis

Full session recordings with privacy masking. But you're not expected to watch them — IaaSimov analyzes them and surfaces the sessions that matter, with the diagnosis already attached.

Connected to: campaign source, tracking quality, identity chain
🔥

Rage click and fury detection

Identifies where users are frustrated — rapid clicks, repeated interactions, erratic scroll patterns. Not just the location of the fury — the cause. Is the CTA not responding? Is the page slow? Is a consent banner blocking the action?

Connected to: page speed data, consent state, element visibility
📊

Funnel progression and drop-off

Full funnel analysis from landing to purchase. But with the critical layer other tools can't provide: how much of the apparent drop-off is genuine friction versus tracking artefact. 215 drop-offs that are really 106.

Connected to: conversion tracking, signal completeness, payment processor data
🧩

Session stitching and identity

One customer, three devices, five sessions — stitched into a single journey. Not probabilistic matching — connected through IaaSimov's cross-platform identity layer. The complete picture of how one person actually moved through your stack.

Connected to: cross-device data, platform identity signals, consent state
🗺️

Sitemap and journey architecture

Automated analysis of your site structure against e-commerce conversion patterns. Are CTAs visible in the viewport? Are there competing navigation paths? Does the journey architecture match what your category benchmarks show works?

Connected to: Surface Scan data, category benchmarks, viewport analysis
🧪

A/B test generation

Experience divergence is mostly stochastic — it requires evidence, not just diagnosis. Convert generates specific A/B test proposals based on diagnosed friction points, with predicted impact ranges and recommended test duration.

Connected to: divergence severity, business impact estimate, traffic volume
Why this is different

A session replay on its own is a recording.
Connected to the full stack, it becomes evidence.

Fragmented analysis
Each tool sees one slice
Session recordings exist in one silo. Journey data in another. Campaign data in a third.
Funnel reports show drop-off numbers — not whether the drop-off is real friction or a tracking gap.
No connection between what the user experienced and what the tracking layer captured.
No connection between the journey and the campaign that drove the user there.
The CRO team becomes the integration layer — manually combining sources, manually connecting dots.
Unified diagnosis
Every observation connected
Sessions captured AND analyzed — divergence surfaced, not raw footage to review.
Every interaction connected to its campaign source, tracking integrity, and identity chain.
Funnel drop-offs separated into genuine friction vs measurement artefact — the distinction no isolated tool can make.
Journey analysis fed by structural data — IaaSimov knows if this session was fully captured before diagnosing it.
A/B tests proposed automatically based on diagnosed divergence. Analysis to action in one system.

Stop analyzing recordings.
Start diagnosing divergence.

Deploy Convert and see where your user experience diverges from your intent — with every observation connected to the full stack.

Or start with a free Surface Scan to see structural divergence first.