The routes people take on the way to buying.

Pick a starting event and look forward to see what happens next, or backward to see how people arrived.

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

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Included in Growth, $99 a month. Funnels and Activity stay free.

Path AnalysisCounts people
Sample B2B SaaS · Jul 1 to Sep 30Starting event: Upgraded to paid · 582 people
DirectionRepeats of a step count once
Previous event
Invited teammate
355
61.0%
Viewed pricing
108
18.6%
Created a report
61
10.5%
Booked a demo
34
5.8%
Connected data source
24
4.1%

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

Asked in plain EnglishExamples
ForQuestion and answer
E-commerce
Do shoppers who open the size guide go on to buy?
More often than the rest. 26.0% of the 9,050 who open it add to cart next, against 6.7% of shoppers straight from a product page.
SaaS
What do people do just before they upgrade?
They invite a teammate. It comes straight before 61.0% of 582 upgrades, and nothing else comes close.
Media
Which article leads to a subscription most often?
The explainers. They come straight before 38.1% of subscriptions, news stories before 19.8%.

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

What it is good for

A funnel tests a path you already suspect. Paths shows you the ones you did not. Looking forward from a page tells you what it leads to; looking backward from a conversion tells you what comes before it, which is often not the journey in the strategy deck.

  • Finding the route to conversion nobody designed
  • Seeing what a key page leads to
  • Working backward from a purchase to the pages that precede it
  • Spotting the loop where people get stuck

Same report, different questions

E-commerce

Find the browse route that ends in a purchase.

What you set up

What next? from Viewed product, opened a step further on Viewed size guide.

What you get to decide

26.0% of the 9,050 shoppers who open the size guide add to cart next, against 6.7% straight from a product page. You promote the route that works.

Path AnalysisCounts people
Sample online store · Sep 1 to Sep 30Starting event: Viewed product · 78,100 people
DirectionRepeats of a step count once
Next event
Viewed another product
31,200
39.9%
Viewed size guide
9,050
11.6%
Next eventPeopleShare of viewed size guide
Viewed another product3,88042.9%
Added to cart2,35026.0%
Viewed product1,72019.0%
Read reviews
6,480
8.3%
Added to cart
5,240
6.7%
Searched
4,310
5.5%

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.
PathsUpdatePinEmail
  • 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

Funnels

Where people drop off before they paySee Funnels

Cohorts

Who keeps coming back, week after weekSee Cohorts

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

Install with AI in about 5 minutes.

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