Your KPIs, split by the channel that drove them.

Track any KPI, then split it by the property behind the event. Ask for one in plain English and it is built, saved and kept fresh.

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

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Asked in plain EnglishExamples
ForQuestion and answer
E-commerce
What are my headline numbers, and which one moved?
Revenue per visitor is down 10.8%. Traffic is up 5.1% and order value is flat, so conversion fell 10.3%.
SaaS
Show me signup to paid, split by acquisition channel, for the last 90 days
Blended 14.5%. Organic search runs 18.0%, Google Ads 9.5%, and the gap is activation.
B2B
How long does it take a lead to become an opportunity, and is that getting worse?
Six days at the median, down from eight. The slow tail is entirely outbound leads.

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

Start freeSee every report

A metric is a sentence, not a query.

Pick what you are counting, chain the events, add a condition, split it by anything. The name writes itself.

New metricthe sentence is the metric
CountPeopleConversionRevenueRateAverageSegmented
People whostarted trial signup+ andupgraded to paid+ whereplan is not free+ split bychannel
Name
Trial to paid, by channel
Create metricReset
Previewsample data
1,262
people, last 30 days
Organic528
Google Ads412
LinkedIn190
Email132

The preview uses sample data while you write. Run it on your own data when you are ready.

Build your first metric on your own events.

Start free

What it is good for

A metric turns "signups are up" into "signups are up because organic is up, and paid is flat". It is the number you would put on a wall, built from your own events, and every one can be split by any property you track.

  • Putting a single, agreed number behind each part of the business
  • Splitting any number by channel, plan, device or country without rebuilding it
  • Watching a KPI move week over week against the prior period
  • Saving a metric once and reusing it as a dashboard widget

Same report, different questions

E-commerce

Keep the few numbers that decide the quarter on one screen.

What you set up

Revenue per visitor, weekly, split by first channel, with visitors, conversion and order value beside it.

What you get to decide

Revenue per visitor is down 10.8%. Traffic is up 5.1% and order value is flat (-0.5%), so conversion fell 10.3%. Fix that before buying more traffic.

Visitors
201,100
+5.1% vs previous 8 weeks
Visitor to order
2.60%
-10.3% vs previous
Average order value
$72.70
-0.5% vs previous
Revenue per visitor
$1.89
-10.8% vs previous
Revenue per visitorDollars
Sample online store · Aug 3 to Sep 27
Dollars
$3.20$2.40$1.60$0.80$0.00
First channel
metaMeta Ads
googleGoogle Ads
searchOrganic search
klaviyoEmail (Klaviyo)
3
$2.00
$1.37
$1.94
$2.58
$3.01
10
$2.01
$1.38
$1.94
$2.60
$3.05
17
$1.98
$1.36
$1.92
$2.55
$2.98
24
$2.01
$1.38
$1.94
$2.59
$3.03
31
$1.83
$1.25
$1.76
$2.36
$2.77
7
$1.79
$1.23
$1.73
$2.31
$2.71
14
$1.77
$1.22
$1.70
$2.28
$2.68
21
$1.75
$1.21
$1.69
$2.26
$2.64
Previous$2.12-10.8%vs previous$1.89This period
Total
$1.30
$1.82
$2.43
$2.85

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.
MetricsUpdatePinEmail
  • Weekly, Mondays, Last 7 days, to maya@acmeapp.com, sam@acmeapp.comRemove
WeeklyLast 7 daysEmails (blank: just me)Schedule

Read next

Funnels

Where people drop off before they paySee Funnels

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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