Where people drop off

Build a funnel from any sequence of events, then read the exact step that leaks and slice it by the segment that leaks worst.

Try it on your own data. Free to start, no card.

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FunnelsCounts people
Sample B2B SaaS · Jul 1 to Sep 30
StepsBreak the funnel down by
People
4,8003,6002,4001,2000
4,010
Started trial
4,010
46%1,851
Connected data source
1,851
87%1,618
Created first report
1,618
36%582
Upgraded to paid
582
Start4,01014.5%Conversion582End
Overall
Trials stall at setup, not at the price. 31% of Google Ads trials connect a data source, against 57% from Organic search. Once connected, they upgrade at the same rate: 30.7% and 31.6%.

Illustrative numbers, fully clickable. Nothing here queries your data.

Asked in plain EnglishExamples
ForQuestion and answer
SaaS
Where do trials from paid search stall before they pay us?
Before they connect a data source. 31% of Google Ads trials connect, against 57% from Organic search. Once connected, they upgrade at the same rate: 30.7% and 31.6%.
E-commerce
How much of my checkout drop-off is mobile, and at which step?
Mobile loses 68% between Started checkout and Placed order, against 41% on desktop. That one step is the whole gap.
Marketplace
How many buyers ever get as far as listing something themselves?
4.1% overall. Referral buyers do it at 9.4%, paid social at 2.1%.

Ready the day you install. It fills in as your data arrives.

What it is good for

A funnel answers the question that matters about a journey: of the people who did X, how many went on to do Y. Because Kissmetrics ties every event to a person, the funnel counts people, so someone who starts on mobile and finishes on desktop is one person, not two.

  • Finding the step that loses the most people
  • Comparing the same funnel across channels, devices or plans
  • Constraining a step by a property to study one specific path
  • Proving a fix worked by watching the step recover

Same report, different questions

E-commerce

Model the whole path from product view to paid order, then split by device.

What you set up

Viewed product → Added to cart → Started checkout → Placed order, broken down by device.

What you get to decide

Mobile loses 68% between checkout and order, against 41% on desktop, so you fix that one screen and leave the rest of the checkout alone.

FunnelsCounts people
Sample online store · Sep 1 to Sep 30
StepsBreak the funnel down by
People
80,00060,00040,00020,0000
Mobile
Desktop
Tablet
78,100
Viewed product
78,100
52,40067%
21,80028%
3,9005.0%
10%7,820
Added to cart
7,820
5,19066%
2,24029%
3905.0%
57%4,474
Started checkout
4,474
2,96066%
1,30029%
2144.8%
41%1,823
Placed order
1,823
94752%
76742%
1096.0%
Start78,1002.3%Conversion1,823End
Overall
1.8%
3.5%
2.8%

Shape it to your question.

Start from the ready-made report, then change it to fit what you want to know.

Ready-made, or asked

Open the report as built, or ask for it in plain English and refine it with a follow-up.

Your own events

Every event and property comes from your own schema, never a fixed list.

Any group of people

Filter it by a population, such as paying customers or one plan.

Any date range

Pick the window once and every report on the page follows it.

In your inbox, on your schedule.

Save the report and send it daily, weekly on the day you pick, or monthly, to up to 10 people.

  • Email. Any saved report, on a schedule. Free includes 2 scheduled reports.
  • Slack or webhook. The same schedule, sent to a channel or to your own endpoint.
  • Export. The report and its data as a CSV, on Growth, with no history limit.
  • API. Pull the same numbers into your own tools, on every plan.
  • Pin. Keep it on a dashboard next to the numbers you watch.
FunnelsUpdatePinEmail
  • Weekly, Mondays, Last 7 days, to maya@acmeapp.com, sam@acmeapp.comRemove
WeeklyLast 7 daysEmails (blank: just me)Schedule

Read next

Metrics

Your KPIs, split by the channel that drove themSee Metrics

Cohorts

Who keeps coming back, week after weekSee Cohorts

Activity

Any event over time, next to the period beforeSee Activity

Try it on your own data. Free to start, no card.

Install with AI in about 5 minutes.

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