Cxorbi for Revenue

Stop guessing why they didn't buy. Watch the session where they didn't.

Funnels name the step that loses the money. Replay shows you the session that proves why. Both sit on the same session id, so the number and its evidence arrive together instead of in two different tools.

app.cxorbi.com/funnels/checkout-conversion
Save Changes

Checkout conversion

Landing page to order confirmation

All devices ⌄Jan 5 – Feb 3 ⌄All users
Funnel metrics18.4%4m
Bar chartOver time
1Landing page
2Product page
3Cart
4Checkout
5Order confirmation
100%12,480 sessions
74.3%9,270 sessions
54.8%6,840 sessions
35.7%4,455 sessions
18.4%2,296 sessions
ContinuedDropped off
StepConversionDrop offFrictionTime to conversion
2Product page74.3% (9,270)2,430 (26.2%)2.838s
3Cart54.8% (6,840)2,385 (34.9%)5.41m
4Checkout35.7% (4,455)2,159 (48.5%)7.92m
Drop-off diagnosisHigh confidenceValidate with replay
Largest drop: Checkout → Order confirmation — 2,159 dropped of 4,455 entered · 48.5% drop rate · 3 signals detected

What actually breaks a purchase?

Most teams can already name the step where conversion falls off. Far fewer can say why, because the metric and the recording that explains it live in separate products with separate identity models. Cxorbi keeps them on one record.

1

session id

The funnel step, the replay and the survey answer all hang off the same one.

3

platforms

Web, iOS and Android, from one SDK and one identity.

0

elements to tag

Screens, taps, scrolls and errors are captured automatically. Custom events still call track().

Every figure

traceable

Analyst answers link back to the sessions they were counted from.

Solve your most critical revenue challenges

Rescue the checkout

Find the step that loses the most sessions, then open the recordings of the people it lost.

Turn browsers into buyers

See which paths end in a purchase and which ones loop, stall or quietly exit.

Price and package with evidence

Settle the packaging argument with Kano, MaxDiff and Conjoint studies on real users.

app.cxorbi.com/funnels/checkout-conversion
Save Changes

Checkout conversion

Landing page to order confirmation

All devices ⌄Jan 5 – Feb 3 ⌄All users
Funnel metrics18.4%4m
Bar chartOver time
1Landing page
2Product page
3Cart
4Checkout
5Order confirmation
100%12,480 sessions
74.3%9,270 sessions
54.8%6,840 sessions
35.7%4,455 sessions
18.4%2,296 sessions
ContinuedDropped off
StepConversionDrop offFrictionTime to conversion
2Product page74.3% (9,270)2,430 (26.2%)2.838s
3Cart54.8% (6,840)2,385 (34.9%)5.41m
4Checkout35.7% (4,455)2,159 (48.5%)7.92m
Drop-off diagnosisHigh confidenceValidate with replay
Largest drop: Checkout → Order confirmation — 2,159 dropped of 4,455 entered · 48.5% drop rate · 3 signals detected

Conversion Funnels

Find the step that loses the money

Build a multi-step funnel and read conversion, drop-off and time on step for each one — ranked, so the largest leak names itself rather than waiting to be spotted.

  • Conversion and drop-off per step, with the biggest drop called out
  • Break the same funnel down by device, browser, country or audience
  • Jump from a step straight into the sessions that abandoned on it
Explore funnels
app.cxorbi.com/session-replay
Filters
WebiOSAndroid
7d14d30d90d

⚡ Friction Overview

Identifies where visitors struggle in your site: rage clicks, errors, and unresponsive elements

Total Sessions
1248
Last 7d
Sessions with Friction
412
Signs of struggle
Friction Rate
34%
of all sessions
Avg Duration
3m 12s
per session

Friction Trend

▪ Total▪ With friction▪ Friction rate %

Device Breakdown

Desktop31%
Mobile44%
Tablet18%
ActionDurationDateFrictionPageviewsBrowser
▶ Play3:47Mar 14, 4:22 PMHigh7Chrome
▶ Play1:12Mar 14, 4:18 PMElevated3Safari
▶ Play6:02Mar 14, 4:11 PMLow12Chrome
▶ Play0:48Mar 14, 4:04 PMSmooth2Edge

Session Replay

Watch the session behind the number

A percentage tells you how many people left. The recording tells you what they were looking at when they decided to.

  • Real web, iOS and Android sessions, scored by how much the user struggled
  • Rage clicks, dead clicks and errors flagged on the timeline
  • Open a replay from a funnel step, an error or a survey response
Explore session replay
app.cxorbi.com/surveys/checkout/heatmap
← Back to HeatmapsCheckout — /checkoutUnderstanding checkoutSaved ✓
HeatmapSection Insights
🖥 842 61📱 345
ClicksMovesScrollsAttentionEngagement
Total clicks ▾SingleMultiOpacity

Replay match

412clicks

4.89% of visible heatmap clicks

Element-linked replay lookup

▶ View replays
Higher activityLower activity

Clicks

Where users click

1Add to cart
412 (18%)37 rage
2Checkout
268 (12%)
3Product page hero
191 (8%)
4Size selector
154 (7%)22 dead
▶ View replays

Heatmaps

See what they looked at instead of the button

Clicks, taps, scroll depth and attention time on the page itself — so a checkout that converts badly can be read rather than guessed at.

  • Click, tap, scroll and attention maps on web and inside mobile apps
  • Compare the same page across devices, widths and orientations
  • Zone-level breakdown, including the zones nobody touched at all
Explore heatmaps
app.cxorbi.com/experiments
New experiment

Experiments

Kano · MaxDiff · Conjoint · Pricing · A/B

Start from an example

Pick the research method first, then load the wizard’s example data or replace it with your own.

KN
Feature priority studyactive

Kano Model · Feature Research

128 responsesShare link
MD
Importance rankingactive

MaxDiff Analysis · Prioritisation

96 responsesShare link
CA
Package trade-offsdraft

Conjoint Analysis · Pricing & Features

74 responses
VW
Price sensitivityclosed

Van Westendorp · Pricing Research

212 responses
AB
Concept preferenceactive

A/B Test · Concept Testing

184 responsesShare link

Market Research

Test the price before you charge it

Kano, MaxDiff and Conjoint studies with their own runner and results, so what you charge and what you bundle is decided by users rather than in a meeting.

  • Kano — which features earn goodwill and which are simply expected
  • MaxDiff — what people actually trade off when they cannot have everything
  • Conjoint — the price and package they would genuinely choose
Explore market research
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Bring the whole user story into one workflow

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