GenieOS · Data

Marketing that can read the truth.

Your database already knows who activated, who upgraded and who went quiet. Connect it, choose exactly what GenieOS can see, and both halves of your marketing start using it: audiences built on live attributes, and campaigns measured against the columns you already trust.

Data sourcesFueld

GENIE · DATA

Your data, connected.

Connect a source and choose exactly which tables and columns GenieOS can see — then every campaign measures itself against what customers actually do.

SupabaseCONNECTED

FirestoreConnect

HubSpotConnect

CSVUpload

READ-ONLY · YOUR DATABASE STAYS WHERE IT IS

WHAT GENIEOS CAN SEE · YOU CHOOSE

users

emailplanactivated_atcreated_at

events

nameoccurred_at

billing_invoicesNOT SHARED

users.activated_at → campaign KPIEVERY CAMPAIGN MEASURES AGAINST IT

AudienceFueld

GENIE · AUDIENCE

Everyone you can reach.

Contacts, lists, and segments in one place. Switch between them up top — every send, sequence, and campaign draws from here.

ContactsListsSegmentsInbox65 CONTACTSFilter by name, email, phone, tag, companyNew contactConnect

CONTACTCOMPANYSOURCESSENTOPENSLAST SEEN

Sana Patel[email protected]—CSV0013m ago

Omar Diaz[email protected]—CSV0013m ago

Femi Sato[email protected]—CSV0013m ago

Xavi Cobb[email protected]—CSV0013m ago

Jack Ortiz[email protected]—CSV0013m ago

Erin Lane[email protected]—CSV0013m ago

Step 01

Connect the database you already run.

Supabase or Firestore, in the same Connect menu the rest of your audience sources live in. That placement is deliberate: the connector lives where you use it, next to Apollo prospecting and CSV import, because a database is first of all a place your audience already exists.

There is no pipeline to stand up and no warehouse export to schedule. GenieOS reads the tables you grant it, live, so the audience you target on Tuesday reflects what your product knew on Tuesday.

Data sourcesFueld

GENIE · DATA

Your data, connected.

Connect a source and choose exactly which tables and columns GenieOS can see — then every campaign measures itself against what customers actually do.

SupabaseCONNECTED

FirestoreConnect

HubSpotConnect

CSVUpload

READ-ONLY · YOUR DATABASE STAYS WHERE IT IS

WHAT GENIEOS CAN SEE · YOU CHOOSE

users

emailplanactivated_atcreated_at

events

nameoccurred_at

billing_invoicesNOT SHARED

users.activated_at → campaign KPIEVERY CAMPAIGN MEASURES AGAINST IT

Step 02

You decide exactly what it can see.

The grant is per table and per column, and the result is legible: users with four named columns, events with two, and billing left out entirely. Not a checkbox tree you configured once and forgot, but a short list you can read back at any time and defend in a security review.

What GenieOS has not been granted, it cannot read. That is the whole model, and it is why connecting a production database to a marketing tool stops being a conversation with your own conscience.

Audience · New segmentFueld

← All segments

New audienceunsaved

Describe who you want to reach — Genie builds the audience from your own profiles (traits, engagement, lists). Save it, preview the count, and activate it to email. No database or CSV needed.

REFINE YOUR BRIEF

Highly engaged contacts — engagement score over 40

Rebuild with Genie

Highly Engaged Contacts

Save audience

Contacts with an engagement score above 40, indicating strong open and click activity.

Filtered to engagementScore > 40 (composite open/click score) and excluded suppressed contacts to ensure deliverability.

MEMBERSHIP RULES

Match all of these:
engagementScore > 40
suppressed is false

PREVIEW & ACTIVATE

Step 03

Segment on what people actually did.

Once the columns are in, plain language reaches them. Users on the pro plan who have not activated. Everyone whose trial ends this week. People who fired a specific event in the last month. The segment engine writes the conditions against your own schema and shows you the rules before anything sends.

Every contact also carries its provenance: pasted, captured from a send, or added by hand. Where a person came from is data, the same way where an artefact came from is, and both are visible when you need them.

AnalyzeFueld

OverviewEmailSocialPageMessageCampaign1w2w30d60d90d

OBJECTIVE · THIS CAMPAIGN

users.activated_atwithin 7 days of sign-up

412of 500 target

Measured in your own database. Missed by 18%, so the next campaign is already drafted against what moved.

Step 04

And measure against the same columns.

The connection powers both directions. A campaign here is born bound to a column: activations within seven days, subscriptions after launch, still active a month on. When the campaign runs, GenieOS watches that column and attributes what moved, which is a different thing from counting opens and calling it success.

This is the inbound half of the loop. The measured result patches your standing strategy, and the next campaign is derived from it. Without the database connection the loop can still write; with it, the loop can learn from the truth.

Capabilities

Both halves of the loop, fed.

01
Supabase and Firestore
Connect the database your product already runs on. HubSpot and CSV cover the rest.
02
Column-level scope
Grant tables and columns individually, and read the grant back as a short list at any time.
03
Live segmentation
Build audiences on production attributes in plain language, with no export step to go stale.
04
KPI binding
Bind a campaign to a column you already trust and have movement in it attributed back.
05
Provenance on every contact
Pasted, captured or added by hand: where each person came from stays visible.
06
Feeds the loop
Measured results patch your strategy, so the next campaign is derived from what actually happened.

Part of every campaign

Every channel, one brand underneath.

See the whole story →

Prefer code? The same brief, one call.read_list({ id })Data sources for developers

Open now · first 100 get Glow free

Connect the database you already run.

You decide exactly what it can see.

Segment on what people actually did.

And measure against the same columns.

Both halves of the loop, fed.

Supabase and Firestore

Column-level scope

Live segmentation

KPI binding

Provenance on every contact

Feeds the loop

Every channel, one brand underneath.

Connect the truth.