“Unknown” means the auth row is gone — the account was deleted.
Table view
Week
Email
Apple
Facebook
Unknown
2026-08-31
9
5
7
0
2026-08-24
25
7
10
0
2026-08-17
29
6
10
1
2026-08-10
15
10
20
1
2026-08-03
20
3
20
0
2026-07-27
19
3
7
1
2026-07-20
17
0
4
3
2026-07-13
11
5
10
0
2026-07-06
14
3
9
3
2026-06-29
13
4
7
2
2026-06-22
6
3
4
2
2026-06-15
8
5
9
1
2026-06-08
9
1
8
0
2026-06-01
21
4
5
1
2026-05-25
16
5
16
1
2026-05-18
17
5
15
2
2026-05-11
26
6
11
2
2026-05-04
40
12
20
1
2026-04-27
50
14
20
3
2026-04-20
30
13
12
1
2026-04-13
23
6
13
4
2026-04-06
30
7
20
1
2026-03-30
40
6
33
2
2026-03-23
20
7
11
2
2026-03-16
28
2
9
0
Engagement
Active user base
How many people are actually using it?
DAU· 0WAU· 111MAU· 327
Active means any action — login, post, comment, respect, follow or event. Login-only would be blind before 2026-01-20.
Table view
Day
DAU
WAU
MAU
Actions / active user
2026-09-05
0
111
327
–
2026-09-04
22
119
340
2
2026-09-03
17
121
348
1.5
2026-09-02
26
129
350
2.1
2026-09-01
45
127
354
2.3
2026-08-31
27
115
355
1.5
2026-08-30
20
112
355
1.8
2026-08-29
14
111
352
2.6
2026-08-28
30
120
356
1.9
2026-08-27
46
134
350
1.8
2026-08-26
21
124
349
1.3
2026-08-25
22
122
346
1.4
2026-08-24
23
134
340
1.4
2026-08-23
17
130
331
1.4
2026-08-22
20
132
329
2.6
2026-08-21
42
123
322
1.3
2026-08-20
18
101
308
1.7
2026-08-19
20
102
308
1.3
2026-08-18
43
105
308
1.7
2026-08-17
22
109
296
1.5
2026-08-16
18
109
303
2
2026-08-15
15
110
302
1.5
2026-08-14
16
112
299
1.6
2026-08-13
18
113
306
1.9
2026-08-12
14
118
301
2
2026-08-11
49
132
298
1.8
2026-08-10
21
120
278
1.7
2026-08-09
15
132
289
2
2026-08-08
15
139
288
2
2026-08-07
11
139
286
1.2
Stickiness
How much of the monthly base shows up on a given day?
Its own chart rather than a second axis on the one above — two scales on one plot invent a correlation that is not in the data.
Table view
Day
Stickiness
2026-09-05
0%
2026-09-04
6.5%
2026-09-03
4.9%
2026-09-02
7.4%
2026-09-01
12.7%
2026-08-31
7.6%
2026-08-30
5.6%
2026-08-29
4%
2026-08-28
8.4%
2026-08-27
13.1%
2026-08-26
6%
2026-08-25
6.4%
2026-08-24
6.8%
2026-08-23
5.1%
2026-08-22
6.1%
2026-08-21
13%
2026-08-20
5.8%
2026-08-19
6.5%
2026-08-18
14%
2026-08-17
7.4%
2026-08-16
5.9%
2026-08-15
5%
2026-08-14
5.4%
2026-08-13
5.9%
2026-08-12
4.7%
2026-08-11
16.4%
2026-08-10
7.6%
2026-08-09
5.2%
2026-08-08
5.2%
2026-08-07
3.8%
Growth accounting
Is the active base actually growing?
RetainedNewResurrectedChurned
Net change last week: -10 users. Signups alone hide the leak — churn sits below the line.
Table view
Week
Active
New
Retained
Resurrected
Churned
Net
2026-08-31
102
19
41
42
71
-10
2026-08-24
112
36
41
35
89
-18
2026-08-17
130
43
38
49
71
21
2026-08-10
109
39
36
34
96
-23
2026-08-03
132
37
47
48
67
18
2026-07-27
114
27
25
62
36
53
2026-07-20
61
18
11
32
66
-16
2026-07-13
77
21
17
39
58
2
2026-07-06
75
25
20
30
53
2
2026-06-29
73
21
14
37
31
27
2026-06-22
45
11
14
20
55
-24
2026-06-15
69
19
25
25
49
-5
2026-06-08
74
14
28
32
78
-32
2026-06-01
106
30
34
41
89
-18
2026-05-25
123
32
39
52
87
-3
2026-05-18
126
35
34
57
96
-4
2026-05-11
130
40
47
43
121
-38
2026-05-04
168
67
56
45
130
-18
2026-04-27
186
83
47
55
88
50
2026-04-20
135
54
36
45
87
12
2026-04-13
123
41
37
45
106
-20
2026-04-06
143
55
47
40
133
-38
2026-03-30
180
79
48
53
50
82
2026-03-23
98
38
24
36
82
-8
2026-03-16
106
37
35
34
113
-42
Activation
Activation funnel
Where do new users fall out?
Strictly nested — each step is a subset of the one above, so the drop-off is real. Ordered stages, so an ordinal ramp rather than eight identities.
Table view
Step
Users
% of signups
% of previous step
Signed up
1,978
100%
–
Activated (any action)
1,764
89.2%
89.2%
Returned (2+ active days)
699
35.3%
39.6%
Habitual (5+ active days)
282
14.3%
40.3%
Feature milestones reached
Which parts of the product do people ever find?
Independent milestones, not a funnel. One colour: the bar length already carries the magnitude.
Table view
Milestone
Users
% of users
Median days to reach
Logged in at least once
1,601
80.9%
0
Has a profile photo
1,013
51.2%
–
Enabled push notifications
942
47.6%
–
Joined an event
665
33.6%
0
Uploaded their own photo
489
24.7%
–
Gave a respect
372
18.8%
3
Followed someone
309
15.6%
5
Commented
220
11.1%
19
Organised an event
53
2.7%
0
Wrote a testimonial
52
2.6%
17.5
Published a post
28
1.4%
3
Activation by signup week
Is onboarding getting better or worse?
ActedContributedCame back
Each cohort's first 7 days. Incomplete windows are excluded.
Table view
Cohort week
Users
Acted
Contributed
Came back
2026-08-24
42
85.7%
31%
26.2%
2026-08-17
45
95.6%
22.2%
13.3%
2026-08-10
45
86.7%
22.2%
15.6%
2026-08-03
43
86%
23.3%
7%
2026-07-27
29
93.1%
17.2%
13.8%
2026-07-20
21
85.7%
14.3%
28.6%
2026-07-13
26
80.8%
30.8%
7.7%
2026-07-06
26
100%
38.5%
19.2%
2026-06-29
24
87.5%
37.5%
12.5%
2026-06-22
13
84.6%
23.1%
15.4%
2026-06-15
22
86.4%
31.8%
4.5%
2026-06-08
18
83.3%
16.7%
11.1%
2026-06-01
30
100%
20%
13.3%
2026-05-25
37
86.5%
29.7%
16.2%
2026-05-18
37
94.6%
29.7%
8.1%
2026-05-11
43
93%
41.9%
11.6%
2026-05-04
72
94.4%
30.6%
11.1%
2026-04-27
84
97.6%
40.5%
15.5%
2026-04-20
55
98.2%
34.5%
9.1%
2026-04-13
42
100%
19%
7.1%
2026-04-06
57
96.5%
36.8%
17.5%
2026-03-30
79
100%
30.4%
17.7%
2026-03-23
38
100%
23.7%
13.2%
2026-03-16
39
94.9%
25.6%
15.4%
Retention
Weekly cohort retention
Do cohorts come back?
Cohort week
Users
W1
W2
W3
W4
W5
W6
W7
W8
W9
W10
W11
W12
2026-08-24
42
–
–
–
–
–
–
–
–
–
–
–
–
2026-08-17
45
9%
–
–
–
–
–
–
–
–
–
–
–
2026-08-10
45
7%
11%
–
–
–
–
–
–
–
–
–
–
2026-08-03
43
7%
9%
7%
–
–
–
–
–
–
–
–
–
2026-07-27
29
10%
7%
10%
10%
–
–
–
–
–
–
–
–
2026-07-20
21
24%
14%
14%
19%
14%
–
–
–
–
–
–
–
2026-07-13
26
–
8%
4%
4%
12%
8%
–
–
–
–
–
–
2026-07-06
26
8%
4%
4%
8%
8%
8%
4%
–
–
–
–
–
2026-06-29
24
12%
8%
–
4%
12%
–
4%
–
–
–
–
–
2026-06-22
13
8%
15%
–
15%
–
8%
15%
–
–
–
–
–
2026-06-15
22
9%
–
9%
4%
4%
4%
–
4%
–
–
–
–
2026-06-08
18
6%
–
–
–
–
–
–
6%
–
–
–
–
2026-06-01
30
10%
3%
7%
7%
3%
3%
7%
–
3%
–
–
7%
2026-05-25
37
5%
–
3%
–
–
3%
3%
–
3%
–
–
5%
2026-05-18
37
5%
3%
5%
–
3%
5%
3%
3%
3%
8%
5%
5%
2026-05-11
43
9%
14%
5%
–
2%
–
2%
–
–
2%
–
2%
0%24%
Week 0 is omitted: it is the signup week and says more about whether an account ever acted than about retention. Blank cells are weeks that have not elapsed.
Reach
Feature reach
Which features hold on to the people still here?
Ever usedUsed by 30-day actives
A feature far below its lifetime reach among current actives is losing ground.
Table view
Feature
Users ever
% of users
Users 30d
% of 30-day actives
Events 30d
Logged in
1,601
80.9%
211
64.5%
515
Joined an event
665
33.6%
144
44%
257
Gave a respect
372
18.8%
66
20.2%
189
Followed someone
309
15.6%
50
15.3%
82
Commented
220
11.1%
43
13.1%
118
Organised an event
53
2.7%
10
3.1%
28
Wrote a testimonial
52
2.6%
7
2.1%
9
Published a post
28
1.4%
4
1.2%
6
Lifecycle of the user base
How much of the base is still alive?
Active = acted in the last 14 days. Dormant = 15–60 days idle. Churned = 60+ days. One colour: these are six states of one measure, and the bar length already carries it.
Table view
State
Users
% of signups
Avg active days
Avg contributions
new
79
3.8%
1.8
1.3
active
111
5.4%
16.9
25
dormant
312
15.1%
4
4.2
churned
1,262
61.3%
2.1
1.8
never activated
214
10.4%
0
0
deleted
82
4%
0.8
1.6
Events
Events
331
28 in the last 30 days
Upcoming
7
not yet held
Organizers
59
distinct, all time
Participations
1,534
539 distinct people
Median attendance
4
18.1% drew nobody
Withdrawn
26%
539 joins pulled back
Cancelled
16.3%
54 events
Lead time
5
median days from posting to the outing
Events posted each week
Is anyone still creating outings?
Went aheadCancelled
Supply is the constraint in a marketplace this size — every participation depends on someone having posted an outing first.
Table view
Week
Created
Cancelled
Organizers
Participations
Per event
2026-08-31
8
1
6
59
7.4
2026-08-24
5
0
3
37
7.4
2026-08-17
5
1
5
49
9.8
2026-08-10
9
1
5
33
3.7
2026-08-03
9
1
8
47
5.2
2026-07-27
9
0
5
50
5.6
2026-07-20
6
0
5
21
3.5
2026-07-13
6
0
4
37
6.2
2026-07-06
4
1
3
26
6.5
2026-06-29
3
0
3
30
10
2026-06-22
3
0
3
12
4
2026-06-15
5
1
5
17
3.4
2026-06-08
5
1
5
28
5.6
2026-06-01
9
0
8
34
3.8
2026-05-25
8
1
6
51
6.4
2026-05-18
7
1
6
45
6.4
2026-05-11
8
3
8
51
6.4
2026-05-04
7
1
7
62
8.9
2026-04-27
12
3
10
79
6.6
2026-04-20
8
0
7
55
6.9
2026-04-13
10
3
8
40
4
2026-04-06
13
5
9
59
4.5
2026-03-30
11
2
6
85
7.7
2026-03-23
5
0
5
36
7.2
2026-03-16
5
0
5
32
6.4
Participations each week
And is anyone joining them?
ConfirmedWithdrawn
Withdrawn means the person joined and later pulled out — a different problem from never joining, and the one an organizer feels on the day.
Table view
Week
Confirmed
Withdrawn
Distinct people
Per event
2026-08-31
59
9
56
7.4
2026-08-24
37
12
34
7.4
2026-08-17
49
23
46
9.8
2026-08-10
33
17
29
3.7
2026-08-03
47
19
40
5.2
2026-07-27
50
15
38
5.6
2026-07-20
21
4
21
3.5
2026-07-13
37
8
36
6.2
2026-07-06
26
9
26
6.5
2026-06-29
30
4
30
10
2026-06-22
12
2
12
4
2026-06-15
17
9
16
3.4
2026-06-08
28
9
26
5.6
2026-06-01
34
15
32
3.8
2026-05-25
51
9
49
6.4
2026-05-18
45
31
42
6.4
2026-05-11
51
23
47
6.4
2026-05-04
62
19
58
8.9
2026-04-27
79
22
72
6.6
2026-04-20
55
18
48
6.9
2026-04-13
40
11
37
4
2026-04-06
59
11
51
4.5
2026-03-30
85
25
72
7.7
2026-03-23
36
9
33
7.2
2026-03-16
32
16
28
6.4
How many people actually turn up
Do posted outings draw a crowd?
Absolute attendance, not a fill rate: capacity averages 44 while the median outing draws 4, so a percentage would measure how organizers pick a number rather than demand. Cancelled and upcoming events are excluded.
Table view
Attendance
Events
% of events
Nobody joined
49
18.1%
1–2 joined
49
18.1%
3–5 joined
65
24.1%
6–9 joined
64
23.7%
10+ joined
43
15.9%
Who does the organising
How concentrated is the supply side?
Bars are events; the annotation is how many people account for them. A handful of organizers carrying most of the calendar is the single biggest fragility in a marketplace like this.
Table view
Group
Organizers
Events
% of events
Organised once
28
28
8.5%
Organised 2–4
14
38
11.5%
Organised 5–9
6
43
13%
Organised 10+
11
222
67.1%
Do participants come back
Is joining an outing a one-off or a habit?
The share stuck on a single outing is the core-loop retention number — more direct than any of the activity-based measures above, because joining an outing is what the product is for.
Table view
Group
People
% of participants
Participations
Joined once
287
53.2%
287
Joined 2–4
160
29.7%
423
Joined 5–9
59
10.9%
370
Joined 10+
33
6.1%
454
What happens to a join request
Confirmed, pulled back, or turned down?
Rejected means the organizer declined, which only happens on manual-approval outings.
Table view
Outcome
Requests
%
People
Events
confirmed
1,534
71.2%
539
257
withdrawn
539
25%
298
193
rejected
66
3.1%
63
36
pending
17
0.8%
14
13
What kind of outing
Is the catalogue varied?
Difficulty is charted; sport is not, because Randonnée accounts for 96.1% of outings — the table below carries the tail.
Table view
Dimension
Value
Events
%
level
Moyen
175
52.9%
level
Facile
80
24.2%
level
Difficile
76
23%
sport
Randonnée
318
96.1%
sport
Vélo
4
1.2%
sport
Tennis
2
0.6%
sport
Kayak
2
0.6%
sport
Ping-Pong
1
0.3%
sport
Paddle
1
0.3%
sport
Escalade
1
0.3%
sport
Padel
1
0.3%
sport
Course à pied
1
0.3%
Geography
Where the users are
Is adoption concentrated anywhere?
Derived from login IPs, so it only covers 2026-01-20 onward. Someone who logs in from two countries counts in both, so the percentages do not sum to 100. Country resolution is reliable; city-level is not, and is left out of this report.