Profiles · customer profiles

One profile for each person, from every source

Profiles keeps what people do and who they are in one record. Use it to build segments and decide who gets which message.

Create a workspace See segments

Included with Journeys. You pay for the people you message, not for seats.

Journeys / Trial onboardingLive

ProfileViewing one person

[I]usr_2041[email]

Traits

plantrial

company[COMPANY]

AudiencesTrial usersViewed pricing 2+ times

Channels

EmailSubscribed

SMSSubscribed

PushAllowed

Whentrial_started

EmailWelcome to [Product]

Wait untilproject_createdor 3 days

BranchOpened the welcome email?

Yes

PushPick up where you left off

SMSNeed a hand getting started?

usr_2041 is here

Sent to usr_2041

Email · 3 days agoWelcome to [Product]Delivered, not opened

SMS · just nowNeed a hand getting started?Delivered

Goalproject_createdNot reached yet

[Your brand] · Today 10:42

Hi [first name], need a hand getting started? Reply HELP and we’ll get back to you.
Reply STOP to opt out.

Where it sits in Argon

Identity

Anonymous visitors become known people

Before sign-up, calls carry an anonymous ID. When identify arrives, Argon joins that history to the person, so nothing they did is lost.

Email, user ID, anonymous ID and phone number
Traits from your calls and your warehouse
Events and messages on one timeline

People / usr_2041

Traits5

TraitValueSource

plantrialSnowflake

company[COMPANY]Snowflake

lifetime_value[N]Snowflake

last_order_at[DATE]Snowflake

last_seen[DATE]Events

Segments

High-intent trialsJoined [DATE]

Journeys

Trial onboardingIn progress

Segments

Segments without SQL

Combine events, traits and other segments with plain rules. Membership updates as events arrive, and a journey can start the moment someone qualifies.

Count and recency rules on any event
Trait filters on any field you send or sync
Use a segment to start, filter or exit a journey

Segments / High-intent trialsLive

WHOdidpricing_viewedat least 2 timesin the last 7 days

ANDtraitplanistrial

ANDnot in segmentCustomers

Membership, last 14 days people

Membership updates as events arrive. Used by 3 journeys.

From your warehouse

Bring traits in from Snowflake

Argon reads people and traits from your Snowflake tables on a schedule. Pick the columns to keep, and they appear on each profile.

Segment on warehouse columns like plan or lifetime value
Branch journeys on them, like any other trait

See the Snowflake integration

Data sources / SnowflakeConnected

TableANALYTICS.PUBLIC.CUSTOMERS

Identify people byuser_id→User ID

Traitsplancompanylifetime_valuelast_order_at

Schedule[SCHEDULE OPTIONS]

Recent runs[N] total

[DATE], [TIME][N] profiles changedSucceeded

Build your first profile

Create a workspace, send an identify call and watch the profile fill in.

Create a workspace Read the docs