Aucta records member lifecycle events from your Discord server the moment they occur, so members, joins, leaves and net growth are counts of real people — not estimates.
Growth analytics for Discord communities
Turn your Discord community into a measurable growth engine.
Aucta is being built to connect acquisition, referrals, retention, member intelligence and AI — so community operators can see where members come from, who stays, and what to do next.
Measured from real Discord events. Unattributed joins are always shown, never hidden.
Growth
Every join, leave and rejoin, as it happens.
Sources & referrals
Know which invite brought each member.
Joins are attributed to the invite or referral link that brought them. When one can’t be attributed, Aucta says so and tells you why, instead of guessing.
Retention
See who is still here at day 1, 7 and 30.
Weekly join cohorts are checked for presence at each checkpoint. Cohorts too small to report are suppressed rather than overstated.
AI
Ask why — and get an answer grounded in your data.
Aucta’s AI analyst is designed to read the verified figures on your dashboard and explain what changed. If the data isn’t there yet, it says so.
In development · Illustrative previewGrowth
From Discord activity to measurable growth.
Every number on the dashboard maps to something that actually happened in your server. Aucta measures four things and is built to connect them.
Product preview · Illustrative data
Members & joins
Members, joins, leaves and net growth for the window you choose — counted from real lifecycle events, with rejoins counted honestly.
1,284Members142Joins+96NetAcquisition & sources
Joins are attributed to the invite that brought them. The ones that can’t be stay visible, with the reason, so coverage is never overstated.
Referrals
Members get their own referral links. Aucta tracks attributed and qualified referrals per link and per member, and rewards can wait for qualification.
23Links61Attributed37QualifiedRetention
Weekly cohorts checked at day 1, 7 and 30, with activation — a first message within 7 days — alongside, so you know who stays and who never really arrived.
CohortD1D7D306 wks ago88%71%58%5 wks ago86%74%61%4 wks ago90%77%63%
Attribution
From a source to an outcome you can trust.
Attribution in Aucta is a chain of observed facts. Each link is measured, and when a link can’t be made, that is recorded too — as an unattributed join with a reason.
Product preview · Illustrative data
- 01
Source
An invite link or a member’s referral link — labelled by channel, like YouTube or Instagram.
- Invite
- YouTube invite link
- Channel
- YouTube
- 02
Attributed join
The join is matched to the invite that brought it. When it can’t be, it is marked unattributed with a reason — never guessed.
- Attributed
- 54 joins
- Unattributed
- 6 · No invite snapshot
- 03
Qualification
Activation is a first message within 7 days. A referral only counts as qualified when the member actually shows up.
- Activated
- 31 of 54
- Qualified referrals
- 12
- 04
Observed outcome
Still present at day 7 and day 30. Retention is observed from real presence, not modelled.
- Present at D7
- 77%
- Present at D30
- 63%
Retention
Cohorts that tell the truth about who stays.
Every weekly join cohort is checked for presence at day 1, day 7 and day 30. Colour shows the rate; the number stays in the cell.
- Presence, not engagementA member counts as retained at a checkpoint if they are still in the server. Nothing is inferred from message volume.
- Small cohorts are suppressedA week with too few members to report shows exactly that, instead of a percentage that swings on one person.
- The future is not guessedA checkpoint that has not been reached yet is marked as not yet observable — never filled in.
Retention by weekly cohortPresence at each checkpoint
Product preview · Illustrative data
CohortD1D7D30
6 wks ago41 joined88%71%58%
5 wks ago36 joined86%74%61%
4 wks ago44 joined90%77%63%
3 wks ago8 joinedToo fewToo fewToo few
2 wks ago39 joined91%79%Not yet
Last week47 joined89%Not yetNot yet
Aucta Growth Analyst
Ask a question. Get an answer grounded in verified data.
The AI analyst is in development. It is designed to interpret the figures your dashboard already shows, explain what changed, and say plainly when the data isn’t there yet.
In development · Illustrative preview
You
Why did qualified referrals change this month?
Aucta Growth AnalystIn development · Illustrative preview
Your referral volume changed most noticeably in YouTube traffic.
Qualified referrals rose from 24 to 37 month over month. Most of the change came from two YouTube-attributed referral links, which together added 11 qualified members. Instagram and direct-invite referrals were flat.
- YouTube qualified+11
- Instagram qualified±0
- Unattributed joins24
Based on referral-link analytics and source attribution for the selected window.
Qualified referrals by weekHighlighted: this month
- Reads verified data onlyEvery figure the analyst cites is one the dashboard already shows. It interprets; it does not calculate or invent.
- Says when data is missingIf a community has no referral data yet, the honest answer is “you don’t have that data yet” — not a plausible summary.
- Points you to the right placeInsights link to where you can act in Aucta: a source to watch, a cohort to look at, a link that is working.
The full picture
One console for growth, sources, retention, referrals and members — with an AI analyst in development.
Each surface answers one question. Together they show how a community actually grows — and where to act.
Product preview · Illustrative data
- Sources → GrowthWhich invites and channels bring new members.
- Sources → ActivationWhich sources bring members who become active.
- Referrals → MembersWho is bringing in members who qualify, link by link.
- Members → RetentionActivation and lifecycle for every member Aucta knows.
- Everything → AIAn analyst being built to read all of it — and only it.
Make community growth measurable.
Aucta is being built to help paid communities understand acquisition, retention, referrals and member growth from real community data.