Le-Ko — How chat is being used

A simple snapshot for people who finished onboarding: who chats, how often, and whether conversations go both ways

All-time numbers · Generated 2026-07-30 19:35 UTC

The big picture Finished onboarding · all time

Who this report is about

We only look at people who finished onboarding (including older accounts marked onboarded under the previous signup flow). Finishing onboarding does not create a chat — someone has to actually start messaging. Until then, that person counts as “has never chatted.” A conversation only counts once at least one real message was sent.

Almost everyone has never used chat (94.1%)

Out of 2,493 people who finished onboarding, 2,345 have never been in a conversation. Only 148 (5.9%) have been in at least one chat, and 129 (5.2%) have written at least one message. (People who wrote a message are already included in “been in a chat” — don’t add the two numbers together.)

Those people created 189 conversations

Among people who finished onboarding and sent a message: 121 conversations had both sides talking, and 68 had only one person writing (total 189). Most are private chats (184); 5 are workout chats. On average each person who messages is in about 1.5 conversation(s). When someone replies, the average wait for the first reply is about 5.4 days.

App analytics don’t see the full chat yet

In the app we can see when someone taps “Message” on a profile, and when a chat notification is delivered or opened (72 taps · 810 notifications delivered · 268 opened, 33.1% open rate). We do not yet track every message send inside the app — the conversation numbers above come from the product database.

People

Finished onboarding
2,493
Everyone we measure against
Never chatted
2,345
94.1% of them
Been in a chat
148
5.9% of them
Wrote a message
129
5.2% of them

Conversations (among people who finished onboarding)

Conversations
189
121 both sides · 68 one side only
Messages
2,952
Average 15.6 messages per conversation
Both sides talking
121
64.0% of conversations
Only one person writing
68
36.0% of conversations
Someone usually replies
64.0%
Average first reply ~5.4 days
Chats per person who messages
1.5
Average
Chat requests accepted
112
128 still waiting for an answer · none declined so far

How chat use changes over time Totals by week and day

Messages, new conversations, and people who started chatting — by week

Messages and people who wrote — last 30 days

Are conversations healthy? Among real conversations only

People who never chatted are already counted in “Never chatted” above. Here we only look at conversations where someone actually wrote.

Both sides talking
121
64.0% of conversations
Only one person writing
68
36.0% of conversations
Average time to first reply
5.4 days
When the other person does reply (a few very slow replies can pull this up)
Long conversations (20+ messages)
29
Deeper back-and-forth

How many conversations have 1–2, 3–5, 6–19, or 20+ messages

Private vs workout chats

Who is talking to whom

Chat requests & safety checks Asking to chat · message review

Chat requests sent
240
Someone asked to start a chat
Still waiting
128
No yes or no yet
Accepted
112
Declined
0
Safety statusMessages
Approved1,314
Posted1,283
Flagged for review303
In review52

We never read message text in this report — only counts.

Coaches and athletes Who is using chat

RolePeople in a chatPeople who wroteMessages written
Coach5444791
Athlete94852,161
Who is in the conversationConversations
Coach and athlete80
Athletes only45
Coaches only20

When do people chat? Time of day and day of week

Messages by hour of day

Messages by day of week

What we see in the app Taps and notifications (not full message history)

Taps on “Message”
72
From someone’s profile
People who tapped
39
Chat notifications sent
810
Notifications opened
268
Open rate
33.1%
38 people opened one

Weekly taps and chat notifications

What’s missing in the app tracking

We can improve this later by also tracking when someone opens a chat inbox or successfully sends a message in the app — so product analytics match the database.

Plain-English glossary Quick definitions