Funnel analysis example
with mobile app event data.

Three labeled event logs, the funnel chart each one produces and how every step is counted.

How every example is counted

The cohort is the unique devices whose first_open falls inside the date range.
Each stage is the unique cohort devices that sent its event inside the same range.
There is no sequence or time-window check, so a device that skips a step still counts at the stages it reached.
Step conversion divides a stage by the one before it and can pass 100%. Events without a device id are ignored.

Every device, user and timestamp is synthetic. The counts come from the same engine as the dashboard, as described in the events docs.

Conversion funnel analysis example: onboarding to purchase

Synthetic data 20 installs in one week, four onboarding steps, then the paywall. Each stage loses a similar share, except the paywall.

Step	Users	Step conversion	Overall	Lost
Installed	20		100%
Step 0: goal	18	90%	90%	2
Step 1: experience level	16	88.9%	80%	2
Step 2: weekly schedule	14	87.5%	70%	2
Step 3: notifications	12	85.7%	60%	2
Completed	11	91.7%	55%	1
Paywall shown	11	100%	55%	0
Plan selected	5	45.5%	25%	6
Purchased	2	40%	10%	3

Every onboarding stage keeps 86 to 92% of the one before, so no single step stands out.
11 of 11 devices that finish onboarding see the paywall.
Only 5 of those 11 pick a plan, the largest loss in the funnel.

Event log (111 events)

Time (UTC)	Device	User	Event	Props
09-07 01:00	d_a01	u_a01	first_open
09-07 01:03	d_a01	u_a01	onboarding_step	{"index":0,"id":"goal"}
09-07 01:06	d_a01	u_a01	onboarding_step	{"index":1,"id":"experience level"}
09-07 01:09	d_a01	u_a01	onboarding_step	{"index":2,"id":"weekly schedule"}
09-07 01:12	d_a01	u_a01	onboarding_step	{"index":3,"id":"notifications"}
09-07 01:15	d_a01	u_a01	onboarding_completed
09-07 01:18	d_a01	u_a01	paywall_shown	{"placement":"onboarding"}
09-07 01:21	d_a01	u_a01	paywall_plan_selected	{"plan":"monthly"}
09-07 01:24	d_a01	u_a01	paywall_purchased	{"plan":"monthly"}
09-07 09:00	d_a02	u_a02	first_open
09-07 09:03	d_a02	u_a02	onboarding_step	{"index":0,"id":"goal"}
09-07 09:06	d_a02	u_a02	onboarding_step	{"index":1,"id":"experience level"}
09-07 09:09	d_a02	u_a02	onboarding_step	{"index":2,"id":"weekly schedule"}
09-07 09:12	d_a02	u_a02	onboarding_step	{"index":3,"id":"notifications"}
09-07 09:15	d_a02	u_a02	onboarding_completed
09-07 09:18	d_a02	u_a02	paywall_shown	{"placement":"onboarding"}
09-07 09:21	d_a02	u_a02	paywall_plan_selected	{"plan":"monthly"}
09-07 09:24	d_a02	u_a02	paywall_purchased	{"plan":"lifetime"}
09-07 17:00	d_a03	u_a03	first_open
09-07 17:03	d_a03	u_a03	onboarding_step	{"index":0,"id":"goal"}
09-07 17:06	d_a03	u_a03	onboarding_step	{"index":1,"id":"experience level"}
09-07 17:09	d_a03	u_a03	onboarding_step	{"index":2,"id":"weekly schedule"}
09-07 17:12	d_a03	u_a03	onboarding_step	{"index":3,"id":"notifications"}
09-07 17:15	d_a03	u_a03	onboarding_completed
09-07 17:18	d_a03	u_a03	paywall_shown	{"placement":"onboarding"}
09-07 17:21	d_a03	u_a03	paywall_plan_selected	{"plan":"monthly"}
09-08 01:00	d_a04	u_a04	first_open
09-08 01:03	d_a04	u_a04	onboarding_step	{"index":0,"id":"goal"}
09-08 01:06	d_a04	u_a04	onboarding_step	{"index":1,"id":"experience level"}
09-08 01:09	d_a04	u_a04	onboarding_step	{"index":2,"id":"weekly schedule"}
09-08 01:12	d_a04	u_a04	onboarding_step	{"index":3,"id":"notifications"}
09-08 01:15	d_a04	u_a04	onboarding_completed
09-08 01:18	d_a04	u_a04	paywall_shown	{"placement":"onboarding"}
09-08 01:21	d_a04	u_a04	paywall_plan_selected	{"plan":"monthly"}
09-08 09:00	d_a05	u_a05	first_open
09-08 09:03	d_a05	u_a05	onboarding_step	{"index":0,"id":"goal"}
09-08 09:06	d_a05	u_a05	onboarding_step	{"index":1,"id":"experience level"}
09-08 09:09	d_a05	u_a05	onboarding_step	{"index":2,"id":"weekly schedule"}
09-08 09:12	d_a05	u_a05	onboarding_step	{"index":3,"id":"notifications"}
09-08 09:15	d_a05	u_a05	onboarding_completed
09-08 09:18	d_a05	u_a05	paywall_shown	{"placement":"onboarding"}
09-08 09:21	d_a05	u_a05	paywall_plan_selected	{"plan":"lifetime"}
09-08 17:00	d_a06	u_a06	first_open
09-08 17:03	d_a06	u_a06	onboarding_step	{"index":0,"id":"goal"}
09-08 17:06	d_a06	u_a06	onboarding_step	{"index":1,"id":"experience level"}
09-08 17:09	d_a06	u_a06	onboarding_step	{"index":2,"id":"weekly schedule"}
09-08 17:12	d_a06	u_a06	onboarding_step	{"index":3,"id":"notifications"}
09-08 17:15	d_a06	u_a06	onboarding_completed
09-08 17:18	d_a06	u_a06	paywall_shown	{"placement":"onboarding"}
09-09 01:00	d_a07	u_a07	first_open
09-09 01:03	d_a07	u_a07	onboarding_step	{"index":0,"id":"goal"}
09-09 01:06	d_a07	u_a07	onboarding_step	{"index":1,"id":"experience level"}
09-09 01:09	d_a07	u_a07	onboarding_step	{"index":2,"id":"weekly schedule"}
09-09 01:12	d_a07	u_a07	onboarding_step	{"index":3,"id":"notifications"}
09-09 01:15	d_a07	u_a07	onboarding_completed
09-09 01:18	d_a07	u_a07	paywall_shown	{"placement":"onboarding"}
09-09 01:21	d_a07	u_a07	paywall_dismissed
09-09 09:00	d_a08	u_a08	first_open
09-09 09:03	d_a08	u_a08	onboarding_step	{"index":0,"id":"goal"}
09-09 09:06	d_a08	u_a08	onboarding_step	{"index":1,"id":"experience level"}
09-09 09:09	d_a08	u_a08	onboarding_step	{"index":2,"id":"weekly schedule"}
09-09 09:12	d_a08	u_a08	onboarding_step	{"index":3,"id":"notifications"}
09-09 09:15	d_a08	u_a08	onboarding_completed
09-09 09:18	d_a08	u_a08	paywall_shown	{"placement":"onboarding"}
09-09 17:00	d_a09	u_a09	first_open
09-09 17:03	d_a09	u_a09	onboarding_step	{"index":0,"id":"goal"}
09-09 17:06	d_a09	u_a09	onboarding_step	{"index":1,"id":"experience level"}
09-09 17:09	d_a09	u_a09	onboarding_step	{"index":2,"id":"weekly schedule"}
09-09 17:12	d_a09	u_a09	onboarding_step	{"index":3,"id":"notifications"}
09-09 17:15	d_a09	u_a09	onboarding_completed
09-09 17:18	d_a09	u_a09	paywall_shown	{"placement":"onboarding"}
09-09 17:21	d_a09	u_a09	paywall_dismissed
09-10 01:00	d_a10	u_a10	first_open
09-10 01:03	d_a10	u_a10	onboarding_step	{"index":0,"id":"goal"}
09-10 01:06	d_a10	u_a10	onboarding_step	{"index":1,"id":"experience level"}
09-10 01:09	d_a10	u_a10	onboarding_step	{"index":2,"id":"weekly schedule"}
09-10 01:12	d_a10	u_a10	onboarding_step	{"index":3,"id":"notifications"}
09-10 01:15	d_a10	u_a10	onboarding_completed
09-10 01:18	d_a10	u_a10	paywall_shown	{"placement":"onboarding"}
09-10 09:00	d_a11	u_a11	first_open
09-10 09:03	d_a11	u_a11	onboarding_step	{"index":0,"id":"goal"}
09-10 09:06	d_a11	u_a11	onboarding_step	{"index":1,"id":"experience level"}
09-10 09:09	d_a11	u_a11	onboarding_step	{"index":2,"id":"weekly schedule"}
09-10 09:12	d_a11	u_a11	onboarding_step	{"index":3,"id":"notifications"}
09-10 09:15	d_a11	u_a11	onboarding_completed
09-10 09:18	d_a11	u_a11	paywall_shown	{"placement":"onboarding"}
09-10 17:00	d_a12	u_a12	first_open
09-10 17:03	d_a12	u_a12	onboarding_step	{"index":0,"id":"goal"}
09-10 17:06	d_a12	u_a12	onboarding_step	{"index":1,"id":"experience level"}
09-10 17:09	d_a12	u_a12	onboarding_step	{"index":2,"id":"weekly schedule"}
09-10 17:12	d_a12	u_a12	onboarding_step	{"index":3,"id":"notifications"}
09-11 01:00	d_a13	u_a13	first_open
09-11 01:03	d_a13	u_a13	onboarding_step	{"index":0,"id":"goal"}
09-11 01:06	d_a13	u_a13	onboarding_step	{"index":1,"id":"experience level"}
09-11 01:09	d_a13	u_a13	onboarding_step	{"index":2,"id":"weekly schedule"}
09-11 09:00	d_a14	u_a14	first_open
09-11 09:03	d_a14	u_a14	onboarding_step	{"index":0,"id":"goal"}
09-11 09:06	d_a14	u_a14	onboarding_step	{"index":1,"id":"experience level"}
09-11 09:09	d_a14	u_a14	onboarding_step	{"index":2,"id":"weekly schedule"}
09-11 17:00	d_a15	u_a15	first_open
09-11 17:03	d_a15	u_a15	onboarding_step	{"index":0,"id":"goal"}
09-11 17:06	d_a15	u_a15	onboarding_step	{"index":1,"id":"experience level"}
09-12 01:00	d_a16	u_a16	first_open
09-12 01:03	d_a16	u_a16	onboarding_step	{"index":0,"id":"goal"}
09-12 01:06	d_a16	u_a16	onboarding_step	{"index":1,"id":"experience level"}
09-12 09:00	d_a17	u_a17	first_open
09-12 09:03	d_a17	u_a17	onboarding_step	{"index":0,"id":"goal"}
09-12 17:00	d_a18	u_a18	first_open
09-12 17:03	d_a18	u_a18	onboarding_step	{"index":0,"id":"goal"}
09-13 01:00	d_a19	u_a19	first_open
09-13 09:00	d_a20	u_a20	first_open

Funnel analysis chart with repeated events and shared users

Synthetic data 12 installs, plus two older installs that buy during the week. Repeated events and a shared user id change no count.

Step	Users	Step conversion	Overall	Lost
Installed	12		100%
Step 0: goal	9	75%	75%	3
Step 1: experience level	8	88.9%	67%	1
Step 2: weekly schedule	7	87.5%	58%	1
Completed	6	85.7%	50%	1
Paywall shown	6	100%	50%	0
Plan selected	4	66.7%	33%	2
Purchased	2	50%	17%	2

A device counts once per stage, however many times it sends the event. Device 01 repeats step 1 three times, device 02 sends first_open twice and device 05 sees the paywall three times.
Two devices share the user id u_b06 and both count, because the funnel counts devices.
Devices 13 and 14 installed before the week began. Their paywall views and purchases are in the log and in no stage.

Event log (69 events)

Time (UTC)	Device	User	Event	Props
09-04 00:00	d_b14	u_b14	first_open
09-05 00:00	d_b13	u_b13	first_open
09-07 01:00	d_b01	u_b01	first_open
09-07 01:03	d_b01	u_b01	onboarding_step	{"index":0,"id":"goal"}
09-07 01:06	d_b01	u_b01	onboarding_step	{"index":1,"id":"experience level"}
09-07 01:09	d_b01	u_b01	onboarding_step	{"index":1,"id":"experience level"}
09-07 01:12	d_b01	u_b01	onboarding_step	{"index":1,"id":"experience level"}
09-07 01:15	d_b01	u_b01	onboarding_step	{"index":2,"id":"weekly schedule"}
09-07 01:18	d_b01	u_b01	onboarding_completed
09-07 01:21	d_b01	u_b01	paywall_shown	{"placement":"onboarding"}
09-07 01:24	d_b01	u_b01	paywall_plan_selected	{"plan":"monthly"}
09-07 12:40	d_b02	u_b02	first_open
09-07 12:43	d_b02	u_b02	first_open
09-07 12:46	d_b02	u_b02	onboarding_step	{"index":0,"id":"goal"}
09-07 12:49	d_b02	u_b02	onboarding_step	{"index":1,"id":"experience level"}
09-07 12:52	d_b02	u_b02	onboarding_step	{"index":2,"id":"weekly schedule"}
09-07 12:55	d_b02	u_b02	onboarding_completed
09-07 12:58	d_b02	u_b02	paywall_shown	{"placement":"onboarding"}
09-07 13:01	d_b02	u_b02	paywall_plan_selected	{"plan":"monthly"}
09-08 00:20	d_b03	u_b03	first_open
09-08 00:23	d_b03	u_b03	onboarding_step	{"index":0,"id":"goal"}
09-08 00:26	d_b03	u_b03	onboarding_step	{"index":1,"id":"experience level"}
09-08 00:29	d_b03	u_b03	onboarding_step	{"index":2,"id":"weekly schedule"}
09-08 00:32	d_b03	u_b03	onboarding_completed
09-08 00:35	d_b03	u_b03	paywall_shown	{"placement":"onboarding"}
09-08 00:38	d_b03	u_b03	paywall_plan_selected	{"plan":"monthly"}
09-08 00:41	d_b03	u_b03	paywall_plan_selected	{"plan":"lifetime"}
09-08 00:44	d_b03	u_b03	paywall_purchased	{"plan":"lifetime"}
09-08 01:00	d_b13	u_b13	paywall_shown	{"placement":"onboarding"}
09-08 01:03	d_b13	u_b13	paywall_plan_selected	{"plan":"monthly"}
09-08 01:06	d_b13	u_b13	paywall_purchased	{"plan":"monthly"}
09-08 12:00	d_b04	u_b04	first_open
09-08 12:03	d_b04	u_b04	onboarding_step	{"index":0,"id":"goal"}
09-08 12:06	d_b04	u_b04	onboarding_step	{"index":1,"id":"experience level"}
09-08 12:09	d_b04	u_b04	onboarding_step	{"index":2,"id":"weekly schedule"}
09-08 12:12	d_b04	u_b04	onboarding_completed
09-08 12:15	d_b04	u_b04	paywall_shown	{"placement":"onboarding"}
09-08 12:18	d_b04	u_b04	paywall_plan_selected	{"plan":"monthly"}
09-08 12:21	d_b04	u_b04	paywall_purchased	{"plan":"monthly"}
09-08 12:24	d_b04	u_b04	paywall_purchased	{"plan":"monthly"}
09-08 23:40	d_b05	u_b05	first_open
09-08 23:43	d_b05	u_b05	onboarding_step	{"index":0,"id":"goal"}
09-08 23:46	d_b05	u_b05	onboarding_step	{"index":1,"id":"experience level"}
09-08 23:49	d_b05	u_b05	onboarding_step	{"index":2,"id":"weekly schedule"}
09-08 23:52	d_b05	u_b05	onboarding_completed
09-08 23:55	d_b05	u_b05	paywall_shown	{"placement":"onboarding"}
09-08 23:58	d_b05	u_b05	paywall_shown	{"placement":"onboarding"}
09-09 00:01	d_b05	u_b05	paywall_shown	{"placement":"onboarding"}
09-09 02:00	d_b14	u_b14	paywall_shown	{"placement":"onboarding"}
09-09 02:03	d_b14	u_b14	paywall_plan_selected	{"plan":"lifetime"}
09-09 02:06	d_b14	u_b14	paywall_purchased	{"plan":"lifetime"}
09-09 11:20	d_b06	u_b06	first_open
09-09 11:23	d_b06	u_b06	onboarding_step	{"index":0,"id":"goal"}
09-09 11:26	d_b06	u_b06	onboarding_step	{"index":1,"id":"experience level"}
09-09 11:29	d_b06	u_b06	onboarding_step	{"index":2,"id":"weekly schedule"}
09-09 11:32	d_b06	u_b06	onboarding_completed
09-09 11:35	d_b06	u_b06	paywall_shown	{"placement":"onboarding"}
09-09 23:00	d_b07	u_b06	first_open
09-09 23:03	d_b07	u_b06	onboarding_step	{"index":0,"id":"goal"}
09-09 23:06	d_b07	u_b06	onboarding_step	{"index":1,"id":"experience level"}
09-09 23:09	d_b07	u_b06	onboarding_step	{"index":2,"id":"weekly schedule"}
09-10 10:40	d_b08	u_b08	first_open
09-10 10:43	d_b08	u_b08	onboarding_step	{"index":0,"id":"goal"}
09-10 10:46	d_b08	u_b08	onboarding_step	{"index":1,"id":"experience level"}
09-10 22:20	d_b09	u_b09	first_open
09-10 22:23	d_b09	u_b09	onboarding_step	{"index":0,"id":"goal"}
09-11 10:00	d_b10	u_b10	first_open
09-11 21:40	d_b11	u_b11	first_open
09-12 09:20	d_b12	u_b12	first_open

Funnel analysis example with skipped steps and incomplete journeys

Synthetic data 14 installs where people skip steps, stop early or buy without a completed event. A stage can end up larger than the one before it.

Step	Users	Step conversion	Overall	Lost
Installed	14		100%
Step 0: goal	9	64.3%	64%	5
Step 1: experience level	6	66.7%	43%	3
Step 2: weekly schedule	7	116.7%	50%	0
Step 3: notifications	6	85.7%	43%	1
Completed	6	100%	43%	0
Paywall shown	8	133.3%	57%	0
Plan selected	5	62.5%	36%	3
Purchased	3	60%	21%	2

Device 05 skips step 1 and device 10 skips steps 1 and 3, so step 2 has more devices than step 1.
Devices 09 and 10 reach the paywall without a completed event, so the paywall has more devices than completed.
Device 08's purchase is dated after the week ends, and one purchase has a user id but no device id. Neither is counted.

Event log (70 events)

Time (UTC)	Device	User	Event	Props
09-07 01:00	d_c01	u_c01	first_open
09-07 01:03	d_c01	u_c01	onboarding_step	{"index":0,"id":"goal"}
09-07 01:06	d_c01	u_c01	onboarding_step	{"index":1,"id":"experience level"}
09-07 01:09	d_c01	u_c01	onboarding_step	{"index":2,"id":"weekly schedule"}
09-07 01:12	d_c01	u_c01	onboarding_step	{"index":3,"id":"notifications"}
09-07 01:15	d_c01	u_c01	onboarding_completed
09-07 01:18	d_c01	u_c01	paywall_shown	{"placement":"onboarding"}
09-07 01:21	d_c01	u_c01	paywall_plan_selected	{"plan":"monthly"}
09-07 01:24	d_c01	u_c01	paywall_purchased	{"plan":"monthly"}
09-07 12:40	d_c02	u_c02	first_open
09-07 12:43	d_c02	u_c02	onboarding_step	{"index":0,"id":"goal"}
09-07 12:46	d_c02	u_c02	onboarding_step	{"index":1,"id":"experience level"}
09-07 12:49	d_c02	u_c02	onboarding_step	{"index":2,"id":"weekly schedule"}
09-07 12:52	d_c02	u_c02	onboarding_step	{"index":3,"id":"notifications"}
09-07 12:55	d_c02	u_c02	onboarding_completed
09-07 12:58	d_c02	u_c02	paywall_shown	{"placement":"onboarding"}
09-07 13:01	d_c02	u_c02	paywall_plan_selected	{"plan":"lifetime"}
09-08 00:20	d_c03	u_c03	first_open
09-08 00:23	d_c03	u_c03	onboarding_step	{"index":0,"id":"goal"}
09-08 00:26	d_c03	u_c03	onboarding_step	{"index":1,"id":"experience level"}
09-08 00:29	d_c03	u_c03	onboarding_step	{"index":2,"id":"weekly schedule"}
09-08 00:32	d_c03	u_c03	onboarding_step	{"index":3,"id":"notifications"}
09-08 00:35	d_c03	u_c03	onboarding_completed
09-08 00:38	d_c03	u_c03	paywall_shown	{"placement":"onboarding"}
09-08 00:41	d_c03	u_c03	paywall_dismissed
09-08 12:00	d_c04	u_c04	first_open
09-08 12:03	d_c04	u_c04	onboarding_step	{"index":0,"id":"goal"}
09-08 12:06	d_c04	u_c04	onboarding_step	{"index":1,"id":"experience level"}
09-08 12:09	d_c04	u_c04	onboarding_step	{"index":2,"id":"weekly schedule"}
09-08 12:12	d_c04	u_c04	onboarding_step	{"index":3,"id":"notifications"}
09-08 12:15	d_c04	u_c04	onboarding_completed
09-08 12:18	d_c04	u_c04	paywall_shown	{"placement":"onboarding"}
09-08 12:21	d_c04	u_c04	paywall_dismissed
09-08 23:40	d_c05	u_c05	first_open
09-08 23:43	d_c05	u_c05	onboarding_step	{"index":0,"id":"goal"}
09-08 23:46	d_c05	u_c05	onboarding_step	{"index":2,"id":"weekly schedule"}
09-08 23:49	d_c05	u_c05	onboarding_step	{"index":3,"id":"notifications"}
09-08 23:52	d_c05	u_c05	onboarding_completed
09-08 23:55	d_c05	u_c05	paywall_shown	{"placement":"onboarding"}
09-08 23:58	d_c05	u_c05	paywall_plan_selected	{"plan":"monthly"}
09-09 00:01	d_c05	u_c05	paywall_purchased	{"plan":"monthly"}
09-09 11:20	d_c06	u_c06	first_open
09-09 11:23	d_c06	u_c06	onboarding_step	{"index":0,"id":"goal"}
09-09 11:26	d_c06	u_c06	onboarding_step	{"index":1,"id":"experience level"}
09-09 23:00	d_c07	u_c07	first_open
09-09 23:03	d_c07	u_c07	onboarding_step	{"index":0,"id":"goal"}
09-10 10:40	d_c08	u_c08	first_open
09-10 10:43	d_c08	u_c08	onboarding_step	{"index":0,"id":"goal"}
09-10 10:46	d_c08	u_c08	onboarding_step	{"index":1,"id":"experience level"}
09-10 10:49	d_c08	u_c08	onboarding_step	{"index":2,"id":"weekly schedule"}
09-10 10:52	d_c08	u_c08	onboarding_step	{"index":3,"id":"notifications"}
09-10 10:55	d_c08	u_c08	onboarding_completed
09-10 10:58	d_c08	u_c08	paywall_shown	{"placement":"onboarding"}
09-10 11:01	d_c08	u_c08	paywall_plan_selected	{"plan":"monthly"}
09-10 22:20	d_c09	u_c09	first_open
09-10 22:23	d_c09	u_c09	paywall_shown	{"placement":"onboarding"}
09-11 10:00	d_c10	u_c10	first_open
09-11 10:03	d_c10	u_c10	onboarding_step	{"index":0,"id":"goal"}
09-11 10:06	d_c10	u_c10	onboarding_step	{"index":2,"id":"weekly schedule"}
09-11 10:09	d_c10	u_c10	paywall_shown	{"placement":"onboarding"}
09-11 10:12	d_c10	u_c10	paywall_plan_selected	{"plan":"lifetime"}
09-11 10:15	d_c10	u_c10	paywall_purchased	{"plan":"lifetime"}
09-11 21:40	d_c11	u_c11	first_open
09-12 09:20	d_c12	u_c12	first_open
09-12 21:00	d_c13	u_c13	first_open
09-12 21:03	d_c13	u_c13	app_open
09-12 21:06	d_c13	u_c13	workout_logged	{"type":"run"}
09-13 08:40	d_c14	u_c14	first_open
09-13 09:20	none	u_c99	paywall_purchased	{"plan":"monthly"}
09-14 05:00	d_c08	u_c08	paywall_purchased	{"plan":"monthly"}

Funnel analysis example FAQ

How do you do a funnel analysis on app events?

Pick the ordered events, set the install cohort and the date range, then count the unique devices at each step. Divide each count by the step before it for step conversion and by installs for overall conversion. To try it with typed numbers, use the funnel calculator.

What does a funnel analysis chart show?

One bar per step, sized by its share of installs, with the step conversion and the users lost beside it. The step with the largest loss is the leak to fix first. See onboarding funnel analytics for the same chart on live events.

How does ActivationPal count repeated and skipped steps?

It counts unique devices per stage and does not check the order. A device that jumps to the paywall counts at the paywall, so a stage can be larger than the one before it, as in the third example. The event names are in the events docs and the setup is in the quickstart.