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  • Supported Data Sources
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  1. Data model templates

Klaviyo: Persons

Last updated 1 year ago

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Description

  • Table of unique person profiles, enhanced with event, campaign, flow, and revenue metrics. Counts of instances of triggered events and sums of the numeric value (i.e. revenue) associated with events (total vs organic/not attributed to flows or campaigns) will be pivoted out into columns, as configured by the klaviyo__count_metrics and klaviyo__sum_revenue_metricsvariables, respectively. See the dbt_project.yml file for the default metrics used. These columns will be prefixed with total_count_, total_sum_revenue_ (organic + attributed), and organic_sum_revenue_ (not attributed to a campaign or flow).

Supported Data Sources

  • Klaviyo

Columns

Type
Name
Description

STRING

person_id

Unique ID of the user if you use your own unique identifier. Otherwise, Klaviyo recommends using the email as the primary key.

STRING

address_1

First line of the person's address.

STRING

address_2

Second line of the person's address.

STRING

city

City they live in.

STRING

country

Country they live in.

STRING

zip

Postal code where they live.

DATETIME

created_at

Timestamp of when the person's profile was created.

STRING

email

The email address for a profile.

STRING

full_name

Person's full name.

STRING

latitude

Latitude of the person's location.

STRING

longitude

Longitude of the person's location.

STRING

organization

Business organization they belong to.

STRING

phone_number

Associated phone number.

STRING

region

Region or state they live in.

STRING

timezone

Timezone they are situated in.

STRING

title

Title at their business or organization.

DATETIME

updated_at

Timestamp of when the person profile was last updated.

DATETIME

last_event_date

STRING

source_relation

The source where this data was pulled from. If you are making use of the union_schemas variable, this will be the source schema. If you are making use of the union_databases variable, this will be the source database. If you are not unioining together multiple sources, this will be an empty string.

INTEGER

count_total_campaigns

Count of the number of campaigns this person has interacted with.

INTEGER

count_total_flows

Count of the number of flows this person has interacted with.

DATETIME

first_event_at

Timestamp of when the user first triggered an event (not limited to campaign and flow interactions).

DATETIME

last_event_at

Timestamp of when the user last triggered an event (not limited to campaign and flow interactions).

DATETIME

first_campaign_touch_at

Timestamp of when the user first interacted with a campaign.

DATETIME

last_campaign_touch_at

Timestamp of when the user last interacted with a campaign.

DATETIME

first_flow_touch_at

Timestamp of when the user first interacted with a flow.

DATETIME

last_flow_touch_at

Timestamp of when the user last interacted with a flow.

INTEGER

total_sum_revenue_refunded_order

INTEGER

organic_sum_revenue_refunded_order

INTEGER

total_sum_revenue_placed_order

INTEGER

organic_sum_revenue_placed_order

INTEGER

total_sum_revenue_ordered_product

INTEGER

organic_sum_revenue_ordered_product

INTEGER

total_sum_revenue_checkout_started

INTEGER

organic_sum_revenue_checkout_started

INTEGER

total_sum_revenue_cancelled_order

INTEGER

organic_sum_revenue_cancelled_order

INTEGER

total_count_active_on_site

INTEGER

total_count_viewed_product

INTEGER

total_count_ordered_product

INTEGER

total_count_placed_order

INTEGER

total_count_refunded_order

INTEGER

total_count_received_email

INTEGER

total_count_clicked_email

INTEGER

total_count_opened_email

INTEGER

total_count_marked_email_as_spam

INTEGER

total_count_unsubscribed

INTEGER

total_count_received_sms

INTEGER

total_count_clicked_sms

INTEGER

total_count_sent_sms

INTEGER

total_count_unsubscribed_from_sms