For high-traffic e-commerce teams

Conversion
Intelligence Platform

Detects conversion friction. Diagnoses the cause. Delivers the fix.

Sneaker Store
New opportunities

2

in last 3 days

Open opportunities

24

Est. revenue loss

$18.5K

/week

from open opportunities

Completed opportunities

84

4 in last 7 days

Opportunities

Status
To Do
$144.0K
/checkout
14 Apr 2026
To Do
$433.5K
/checkout
14 Apr 2026
Ignored
โ€”
/checkout
08 Dec 2024
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Imagine true automation.
Friction found. Revenue impact calculated.
Fix ready to be implemented.
All before your morning coffee.

Automated Friction Detection

Your funnel, monitored 24/7. Issues surfaced the moment they appear โ€” with revenue loss calculated in dollars.

55%23%34%
Entry point
Homepage3,450 visits
78% click through rate
Product list1,947 visits
34% click through rate
Category page814 visits
23% click through rate
Category page814 visits
23% click through rate
High drop off
Product detail662 visits
19% click through rate
545 (88% of users) drop at this stage
New opportunities

2

in last 3 days

Est. revenue loss

$18.5k

/week

from open opportunities

Open opportunities

24

Completed opportunities

84

4 in last 7 days

3 newTo Do$5.1k

Root Cause Diagnosis

Not just what's broken, why it's broken. We trace the problem back through user behaviour, traffic sources, and on-page interactions.

Drop Off

High cart abandonment
on checkout page

Detected: 3 days ago (24 April 2025)
Updated: 2 hours ago
Root cause:

Users are experiencing form validation errors when entering payment information, particularly on mobile devices. This is causing many visitors to give up and leave before completing their purchase.

Why do we believe this?
How can I fix it?
AI Debrief
Session summary

User navigated through 5 pages with smooth interactions. Spent most time on the product page (2:15).

Generate more

Optimisations built
on behavioural science

We don't just spot problems, we recommend fixes based on how people actually make decisions. Cognitive biases. Consumer psychology. UX heuristics. The patterns that move the needle.

Our suggested actions:
Generate new suggestions

Simplify payment form

Reduce the number of required fields in the payment form from 12 to 6 by removing optional fields and using autofill suggestions.

Details
Dev required

Add trust signals

Display security badges, SSL certification, and customer testimonials near the payment section to build trust.

Details
No dev required โ†’

Implement Progress Indicator

Display security badges, SSL certification, and customer testimonials near the payment section to build trust.

Details

Current

John Doe
john@example.com
(555) 123-4567
1234 5678 9012 3456
John Doe
MM/YY
123
123 Main Street
Apt 4B (optional)
New York
NY
10001
Complete Payment
AI Assistant

Generate AI powered suggestions to fix this issue

Analysis complete:

Users are experiencing form validation errors when entering payment information. The payment form requires 12 fields, but mobile keyboards make it difficult to input data accurately. Additionally, the form lacks clear error messaging, causing users to abandon the checkout process.

๐Ÿ”ญ Loss Aversion
๐Ÿš› Cognitive Load
๐Ÿฐ Progressive Disclosure
๐Ÿ‘€ Hick's Law

You don't analyse.
You decide.

Cart abandonment spike on iOS 17

Drop off
$4.2k
2h ago

Slow LCP on product detail pages

Revenue Leak
$45.9k
5h ago

Missing add-to-cart tracking on mobile

Traffic Opportunity
$0.3k
3d ago

Dig in when you want to.
Friction is surfaced automatically.
But the full toolkit is always there โ€”
trace user paths, watch recordings,
and see exactly where users click.

Scroll indicator
Screen recording preview
Play
Date
Duration
Page views
Traffic source
Geolocation
Browser
Screen size
Play
2024/01/15
3:56
6
Open AI
๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur, ML
Google Chrome
16:9
Play
2024/01/15
1:56
3
Claude
๐Ÿ‡ซ๐Ÿ‡ท Villefranche-sur..., FR
Google Chrome
16:9
Play
2024/01/15
8:32
10
Meta
๐Ÿ‡บ๐Ÿ‡ธ New York, US
Google Chrome
16:9

โ€œ61K recovered in first 6 months from fixes
we wouldnโ€™t have found on our own.
Paid for itself on week 1.โ€

Nicholas Hoddevik, CEO

Built for high-traffic sites.
Millions of sessions. Every friction
point caught. Zero blind spots.

2,500,000+

Revenue loss detected

$132M+

Sessions analysed

100+

Companies optimised

24/7

Monitoring, Always on

No dashboards. No guesswork.
Just what to fix.