---
updatedAt: 2026-07-28T09:47:49.000Z
agentTools:
  projectIndex: https://triplewhale.readme.io/llms.txt
---

# Creatives Table

creatives_table

The Creatives table tracks advertising creative performance at the asset level, including images, videos, and ad copy. One row per asset per ad per day; assets reused across multiple ads produce multiple rows.

> 📋 Table Guide
>
> **What You Can Answer With This Table**
>
> * Which creatives drive the most engagement? — use `clicks`, `impressions`, `asset_id`
> * Which video creatives have the strongest watch-through rates? — use `asset_type`, `video_p100_watched`, `thruplays`
> * Which creatives score best on creative effectiveness? — use `hook_score`, `click_score`, `convert_score`
>
> **Before You Query**
>
> * **Required fields:** `event_date` and `asset_type`
> * `asset_type` must be set to exactly one of: `image`, `video`, `copy`. You cannot query across asset types in a single query.
>
> **Key Relationships**
>
> | Table                                                                 | Join Key | Use This Join To                                                          |
> | :-------------------------------------------------------------------- | :------- | :------------------------------------------------------------------------ |
> | [Pixel Joined](https://triplewhale.readme.io/docs/pixel-joined-table) | `ad_id`  | Compare creative assets by attributed revenue and ROAS                    |
> | [Ads](https://triplewhale.readme.io/docs/ads-table)                   | `ad_id`  | Explain creative performance with campaign, ad set, and targeting context |
>
> <br />
>
> **When to Use a Different Table**
>
> * Use [Ads table](https://triplewhale.readme.io/docs/ads-table) when you need campaign, ad set, or ad-level platform metrics without per-creative breakdown. The Creatives table is for creative asset-level performance.
> * Use [Pixel Joined table](https://triplewhale.readme.io/docs/pixel-joined-table) when you need attributed revenue or ROAS by channel, campaign, ad set, or ad. The Creatives table is for creative asset-level performance.
>
> *[View the full Triple Whale Data Ontology →](https://triplewhale.readme.io/docs/triple-whale-data-ontology)*

***

# Dimensions

Dimensions are immutable properties that can be used for grouping data.

<Table align={["left","left","left","left"]}>
  <thead>
    <tr>
      <th>
        Title
      </th>

      <th>
        ID
      </th>

      <th>
        Type
      </th>

      <th>
        Description
      </th>
    </tr>
  </thead>

  <tbody>
    <tr>
      <td>
        Event Date
      </td>

      <td>
        `event_date`
      </td>

      <td>
        date
      </td>

      <td>
        The date the ad was run. Based on the shop time zone at the moment of the event (or the user time zone, if no sales platform is connected).
      </td>
    </tr>

    <tr>
      <td>
        Event Day
      </td>

      <td>
        `event_date.day`
      </td>

      <td>
        date
      </td>

      <td>
        The day on which the event occurred. Derived from `event_date`.
      </td>
    </tr>

    <tr>
      <td>
        Event Week
      </td>

      <td>
        `event_date.week`
      </td>

      <td>
        date
      </td>

      <td>
        The Sunday of the week during which the event occurred. Derived from `event_date`.
      </td>
    </tr>

    <tr>
      <td>
        Event Month
      </td>

      <td>
        `event_date.month`
      </td>

      <td>
        date
      </td>

      <td>
        The month during which the event occurred. Derived from `event_date`.
      </td>
    </tr>

    <tr>
      <td>
        Event Quarter
      </td>

      <td>
        `event_date.quarter`
      </td>

      <td>
        date
      </td>

      <td>
        The first month of the quarter during which the event occurred. Derived from `event_date`.
      </td>
    </tr>

    <tr>
      <td>
        Event Year
      </td>

      <td>
        `event_date.year`
      </td>

      <td>
        date
      </td>

      <td>
        The year during which the event occurred. Derived from `event_date`.
      </td>
    </tr>

    <tr>
      <td>
        Ad Copy
      </td>

      <td>
        `ad_copy`
      </td>

      <td>
        string
      </td>

      <td>
        The full text (copy) of the ad.
      </td>
    </tr>

    <tr>
      <td>
        Ad ID
      </td>

      <td>
        `ad_id`
      </td>

      <td>
        string
      </td>

      <td>
        The unique ID of the ad associated with the creative asset.

        Example value: 220227808044480670
      </td>
    </tr>

    <tr>
      <td>
        Ad Image URL
      </td>

      <td>
        `ad_image_url`
      </td>

      <td>
        string
      </td>

      <td>
        The URL of the ad image.

        Example value: `https://www.example.com/ad-image.jpg`
      </td>
    </tr>

    <tr>
      <td>
        Ad Title
      </td>

      <td>
        `ad_title`
      </td>

      <td>
        string
      </td>

      <td>
        The external, published title that viewers see when the ad is served.

        Example values: `UP TO 50% OFF`, `The Hype Is Real`, `Trusted by 4 Million+ Women Worldwide`
      </td>
    </tr>

    <tr>
      <td>
        Ad Type
      </td>

      <td>
        `ad_type`
      </td>

      <td>
        string
      </td>

      <td>
        The format of the ad.

        Example values: `video`, `image`, `carousel`, `link`, `VIDEO`, `GRAPHIC`

        Currently available for Meta and Axon.
      </td>
    </tr>

    <tr>
      <td>
        Asset ID
      </td>

      <td>
        `asset_id`
      </td>

      <td>
        string
      </td>

      <td>
        The unique ID of the asset used in the ad.
      </td>
    </tr>

    <tr>
      <td>
        Asset Type
      </td>

      <td>
        `asset_type`
      </td>

      <td>
        string
      </td>

      <td>
        The type of asset used in the ad.

        Must be set to exactly one of: `image`, `video`, `copy`
      </td>
    </tr>

    <tr>
      <td>
        Attribution Window
      </td>

      <td>
        `attribution_window`
      </td>

      <td>
        string
      </td>

      <td>
        The time frame for attributing conversions to the ad. By default `lifetime`.

        Example values: `1_day`, `7_days`, `14_days`, `28_days`, `lifetime`
      </td>
    </tr>

    <tr>
      <td>
        Channel
      </td>

      <td>
        `channel`
      </td>

      <td>
        string
      </td>

      <td>
        The platform through which the ad was delivered.

        Example values: `facebook-ads`, `google-ads`, `tiktok-ads`
      </td>
    </tr>

    <tr>
      <td>
        Creative CTA Type
      </td>

      <td>
        `creative_cta_type`
      </td>

      <td>
        string
      </td>

      <td>
        The type of call-to-action (CTA) used in the ad.

        Example values: `SHOP_NOW`, `LEARN_MORE`, `SIGN_UP`
      </td>
    </tr>

    <tr>
      <td>
        Creative Distribution Format
      </td>

      <td>
        `creative_distribution_format`
      </td>

      <td>
        string
      </td>

      <td>
        The ad creative distribution format.

        Example values: `Standard Ad`, `Dynamic Creative Ad`, `Unknown`
      </td>
    </tr>

    <tr>
      <td>
        Creative Format
      </td>

      <td>
        `creative_format`
      </td>

      <td>
        string
      </td>

      <td>
        The format of the ad creative.

        Example values: `SHARE`, `VIDEO`
      </td>
    </tr>

    <tr>
      <td>
        Creative ID
      </td>

      <td>
        `creative_id`
      </td>

      <td>
        string
      </td>

      <td>
        The unique identifier assigned to the creative asset by the ad platform.

        Example value: `1326015151986179`
      </td>
    </tr>

    <tr>
      <td>
        Attribution Model
      </td>

      <td>
        `model`
      </td>

      <td>
        string
      </td>

      <td>
        The attribution model used. By default `Triple Attribution`.

        Possible values: `Total Impact`, `Triple Attribution`, `Triple Attribution + Views`, `Clicks & Views`, `Linear All`, `Linear Paid`, `First Click`, `Last Click`
      </td>
    </tr>

    <tr>
      <td>
        Shop ID
      </td>

      <td>
        `shop_id`
      </td>

      <td>
        string
      </td>

      <td>
        The unique ID of the shop (often corresponds to the shop domain). Can be used to group or filter data by shop in multi-store reports.

        Example values: `example-US.myshopify.com`, `example-EU.myshopify.com`
      </td>
    </tr>

    <tr>
      <td>
        Shop Name
      </td>

      <td>
        `shop_name`
      </td>

      <td>
        string
      </td>

      <td>
        The name of the shop. Can be used to group or filter data by shop in multi-store reports.

        Example values: `example-US`, `example-EU`
      </td>
    </tr>

    <tr>
      <td>
        Video Duration
      </td>

      <td>
        `video_duration`
      </td>

      <td>
        string
      </td>

      <td>
        The length of the video ad.
      </td>
    </tr>

    <tr>
      <td>
        Video URL
      </td>

      <td>
        `video_url`
      </td>

      <td>
        string
      </td>

      <td>
        The URL of the ad video.

        Example value: `https://www.youtube.com/embed/example`
      </td>
    </tr>

    <tr>
      <td>
        Video URL Iframe
      </td>

      <td>
        `video_url_iframe`
      </td>

      <td>
        string
      </td>

      <td>
        The iframe embed code for displaying the video ad within a web page or app.

        Example value: `https://www.facebook.com/plugins/ video.phpwidth=1080&href=https:// www.facebook.com/123456789/videos/987654321`
      </td>
    </tr>
  </tbody>
</Table>

# Measures

Measures are numeric fields that can be aggregated and/or combined to calculate new metrics.

<Table align={["left","left","left","left"]}>
  <thead>
    <tr>
      <th>
        Title
      </th>

      <th>
        ID
      </th>

      <th>
        Type
      </th>

      <th>
        Description
      </th>
    </tr>
  </thead>

  <tbody>
    <tr>
      <td>
        Channel-Reported Conversion Value
      </td>

      <td>
        `channel_reported_conversion_value`
      </td>

      <td>
        numeric
      </td>

      <td>
        Revenue generated from channel-reported conversions (purchases).
      </td>
    </tr>

    <tr>
      <td>
        Channel-Reported Conversions (Purchases)
      </td>

      <td>
        `channel_reported_conversions`
      </td>

      <td>
        numeric
      </td>

      <td>
        Number of channel-reported conversions (purchases).
      </td>
    </tr>

    <tr>
      <td>
        Clicks
      </td>

      <td>
        `clicks`
      </td>

      <td>
        numeric
      </td>

      <td>
        Number of channel-reported clicks.
      </td>
    </tr>

    <tr>
      <td>
        Pixel Cost of Goods
      </td>

      <td>
        `cogs`
      </td>

      <td>
        numeric
      </td>

      <td>
        The cost of goods for Pixel-reported purchases within the selected time frame (before refunds).

        Imported from the main sales platform, or edit these in [Cost Settings](https://app.triplewhale.com/cost-settings) > Cost of Goods.

        Note that COGS for Pixel data is set at attribution time and does not get updated subsequently, so may vary from COGS data in the Orders table.
      </td>
    </tr>

    <tr>
      <td>
        Impressions
      </td>

      <td>
        `impressions`
      </td>

      <td>
        numeric
      </td>

      <td>
        Number of channel-reported impressions.
      </td>
    </tr>

    <tr>
      <td>
        Pixel New Customer Cost of Goods
      </td>

      <td>
        `new_customer_cogs`
      </td>

      <td>
        numeric
      </td>

      <td>
        The cost of goods for Pixel-reported purchases by new customers within the selected time frame (before refunds).

        Imported from the main sales platform, or edit these in [Cost Settings](https://app.triplewhale.com/cost-settings) > Cost of Goods.

        Note that COGS for Pixel data is set at attribution time and does not get updated subsequently, so may vary from COGS data in the Orders table.

        [Learn how Triple Whale classifies new/returning customers](https://triplewhale.readme.io/docs/is-new-customer#/).
      </td>
    </tr>

    <tr>
      <td>
        Pixel New Customer Conversion Value
      </td>

      <td>
        `new_customer_order_revenue`
      </td>

      <td>
        numeric
      </td>

      <td>
        Pixel-reported conversion value (attributed order revenue) derived from New Customers.

        [Learn how Triple Whale classifies new/returning customers](https://triplewhale.readme.io/docs/is-new-customer#/).
      </td>
    </tr>

    <tr>
      <td>
        Pixel New Customer Purchases
      </td>

      <td>
        `new_customer_orders`
      </td>

      <td>
        numeric
      </td>

      <td>
        Number of Pixel-reported orders placed by New Customers.

        [Learn how Triple Whale classifies new/returning customers](https://triplewhale.readme.io/docs/is-new-customer#/).
      </td>
    </tr>

    <tr>
      <td>
        Ads
      </td>

      <td>
        `number_of_ads`
      </td>

      <td>
        numeric
      </td>

      <td>
        Total number of ads containing the creative asset.
      </td>
    </tr>

    <tr>
      <td>
        One-Day Click Comments
      </td>

      <td>
        `one_day_click_comments`
      </td>

      <td>
        numeric
      </td>

      <td>
        Number of comments within one day of clicking the ad.
      </td>
    </tr>

    <tr>
      <td>
        One-Day Click Likes
      </td>

      <td>
        `one_day_click_likes`
      </td>

      <td>
        numeric
      </td>

      <td>
        Number of likes within one day of clicking the ad.
      </td>
    </tr>

    <tr>
      <td>
        One-Day Click Reactions
      </td>

      <td>
        `one_day_click_reactions`
      </td>

      <td>
        numeric
      </td>

      <td>
        Number of reactions within one day of clicking the ad.
      </td>
    </tr>

    <tr>
      <td>
        One-Day Click Shares
      </td>

      <td>
        `one_day_click_shares`
      </td>

      <td>
        numeric
      </td>

      <td>
        Number of shares within one day of clicking the ad.
      </td>
    </tr>

    <tr>
      <td>
        One-Day View Conversion Value
      </td>

      <td>
        `one_day_view_conversion_value`
      </td>

      <td>
        numeric
      </td>

      <td>
        The total value of channel-reported conversions (purchases) made within one day of viewing the ad.
      </td>
    </tr>

    <tr>
      <td>
        One-Day View Conversions (Purchases)
      </td>

      <td>
        `one_day_view_purchases`
      </td>

      <td>
        numeric
      </td>

      <td>
        The total number of channel-reported conversions (purchases) made within one day of viewing the ad.
      </td>
    </tr>

    <tr>
      <td>
        Onsite Conversions (Purchases)
      </td>

      <td>
        `onsite_purchases`
      </td>

      <td>
        numeric
      </td>

      <td>
        The total number of purchases reported by the ad channel for orders completed directly in that channel's shop.
      </td>
    </tr>

    <tr>
      <td>
        Pixel Conversion Value
      </td>

      <td>
        `order_revenue`
      </td>

      <td>
        numeric
      </td>

      <td>
        Pixel-reported conversion value (attributed order revenue) after shipping, taxes, and discounts (before refunds).

        Note: This value is calculated based on the attribution model, and may be a fractional number.
      </td>
    </tr>

    <tr>
      <td>
        Pixel Purchases
      </td>

      <td>
        `orders_quantity`
      </td>

      <td>
        numeric
      </td>

      <td>
        The total number of Pixel-reported purchases (orders) within the selected timeframe.

        Note: This value is calculated based on the attribution model, and may be a fractional number.
      </td>
    </tr>

    <tr>
      <td>
        Outbound Clicks
      </td>

      <td>
        `outbound_clicks`
      </td>

      <td>
        numeric
      </td>

      <td>
        Number of channel-reported outbound clicks.
      </td>
    </tr>

    <tr>
      <td>
        Seven-Day Click Comments
      </td>

      <td>
        `seven_day_click_comments`
      </td>

      <td>
        numeric
      </td>

      <td>
        Number of comments within seven days of clicking the ad.
      </td>
    </tr>

    <tr>
      <td>
        Seven-Day Click Likes
      </td>

      <td>
        `seven_day_click_likes`
      </td>

      <td>
        numeric
      </td>

      <td>
        Number of likes within seven days of clicking the ad.
      </td>
    </tr>

    <tr>
      <td>
        Seven-Day Click Reactions
      </td>

      <td>
        `seven_day_click_reactions`
      </td>

      <td>
        numeric
      </td>

      <td>
        Number of reactions within seven days of clicking the ad.
      </td>
    </tr>

    <tr>
      <td>
        Seven-Day Click Shares
      </td>

      <td>
        `seven_day_click_shares`
      </td>

      <td>
        numeric
      </td>

      <td>
        Number of shares within seven days of clicking the ad.
      </td>
    </tr>

    <tr>
      <td>
        Ad Spend
      </td>

      <td>
        `spend`
      </td>

      <td>
        numeric
      </td>

      <td>
        Channel-reported ad spend, excluding any custom expenses marked as ad spend.
      </td>
    </tr>

    <tr>
      <td>
        Video Views
      </td>

      <td>
        `total_video_view`
      </td>

      <td>
        numeric
      </td>

      <td>
        The number of times a video ad was viewed for any amount of time.
      </td>
    </tr>

    <tr>
      <td>
        Video 100% Watched
      </td>

      <td>
        `video_p100_watched`
      </td>

      <td>
        numeric
      </td>

      <td>
        The number of times a video ad was watched for 100% of the video.
      </td>
    </tr>

    <tr>
      <td>
        Video 25% Watched
      </td>

      <td>
        `video_p25_watched`
      </td>

      <td>
        numeric
      </td>

      <td>
        The number of times a video ad was watched for 25% of the video.
      </td>
    </tr>

    <tr>
      <td>
        Video 50% Watched
      </td>

      <td>
        `video_p50_watched`
      </td>

      <td>
        numeric
      </td>

      <td>
        The number of times a video ad was watched for 50% of the video.
      </td>
    </tr>

    <tr>
      <td>
        Video 75% Watched
      </td>

      <td>
        `video_p75_watched`
      </td>

      <td>
        numeric
      </td>

      <td>
        The number of times a video ad was watched for 75% of the video.
      </td>
    </tr>

    <tr>
      <td>
        Video 95% Watched
      </td>

      <td>
        `video_p95_watched`
      </td>

      <td>
        numeric
      </td>

      <td>
        The number of times a video ad was watched for 95% of the video.
      </td>
    </tr>
  </tbody>
</Table>

# Derived

Derived fields are metrics that are pre-calculated using multiple measures or advanced formulas.

<Table align={["left","left","left","left"]}>
  <thead>
    <tr>
      <th>
        Title
      </th>

      <th>
        ID
      </th>

      <th>
        Type
      </th>

      <th>
        Description
      </th>
    </tr>
  </thead>

  <tbody>
    <tr>
      <td>
        Channel-Reported AOV
      </td>

      <td>
        `channel_reported_aov`
      </td>

      <td>
        formula
      </td>

      <td>
        The average order value as reported by the advertising channel.

        Channel-Reported AOV = Channel-Reported Conversion Value / Number of Channel-Reported Conversions
      </td>
    </tr>

    <tr>
      <td>
        Channel-Reported Cost Per Acquisition
      </td>

      <td>
        `channel_reported_cpa`
      </td>

      <td>
        formula
      </td>

      <td>
        The cost to acquire a single conversion, as reported by the channel.

        Channel-Reported CPA = Spend / Number of Channel-Reported Conversions
      </td>
    </tr>

    <tr>
      <td>
        Channel-Reported Return on Ad Spend
      </td>

      <td>
        `channel_reported_roas`
      </td>

      <td>
        formula
      </td>

      <td>
        The ratio of channel-reported conversion value to ad spend.

        Channel-Reported ROAS = Channel-Reported Conversion Value / Spend
      </td>
    </tr>

    <tr>
      <td>
        Cost Per Click (CPC)
      </td>

      <td>
        `cpc`
      </td>

      <td>
        formula
      </td>

      <td>
        The average cost for each ad click.

        Cost Per Click (CPC) = Spend / Clicks
      </td>
    </tr>

    <tr>
      <td>
        Cost Per Mille (CPM)
      </td>

      <td>
        `cpm`
      </td>

      <td>
        formula
      </td>

      <td>
        The cost for 1,000 ad impressions.

        Cost Per Mille (CPM) = Spend / Impressions x 1000
      </td>
    </tr>

    <tr>
      <td>
        Click-Through Rate
      </td>

      <td>
        `ctr`
      </td>

      <td>
        formula
      </td>

      <td>
        The percentage of impressions that result in a click.

        Click-Through Rate (CTR) = Clicks / Impressions
      </td>
    </tr>

    <tr>
      <td>
        Pixel New Customer Cost Per Acquisition
      </td>

      <td>
        `ncpa`
      </td>

      <td>
        formula
      </td>

      <td>
        The cost to acquire a new customer, as reported by Pixel.

        Pixel NCPA = Blended Ad Spend / Number of New Customer Orders

        [Learn how Triple Whale classifies new/returning customers](https://triplewhale.readme.io/docs/is-new-customer#/).
      </td>
    </tr>

    <tr>
      <td>
        Pixel New Customer ROAS
      </td>

      <td>
        `new_customer_roas`
      </td>

      <td>
        formula
      </td>

      <td>
        Revenue from new customers relative to ad spend.

        Pixel NC ROAS = Pixel New Customer CV / Spend

        [Learn how Triple Whale classifies new/returning customers](https://triplewhale.readme.io/docs/is-new-customer#/).
      </td>
    </tr>

    <tr>
      <td>
        Pixel New Customers Percent
      </td>

      <td>
        `new_customers_percent`
      </td>

      <td>
        formula
      </td>

      <td>
        The percentage of Pixel-reported purchases made by new customers.

        Pixel New Customers % = Number of New Customer Pixel Purchases / Total Pixel Purchases

        [Learn how Triple Whale classifies new/returning customers](https://triplewhale.readme.io/docs/is-new-customer#/).
      </td>
    </tr>

    <tr>
      <td>
        Outbound Click-Through Rate
      </td>

      <td>
        `outbound_ctr`
      </td>

      <td>
        formula
      </td>

      <td>
        The percentage of impressions that result in outbound clicks.

        Outbound CTR = Outbound Clicks / Impressions
      </td>
    </tr>

    <tr>
      <td>
        Pixel AOV
      </td>

      <td>
        `pixel_aov`
      </td>

      <td>
        formula
      </td>

      <td>
        The Pixel-reported average order value.

        Pixel AOV = Pixel CV / Pixel Purchases
      </td>
    </tr>

    <tr>
      <td>
        Pixel Cost Per Acquisition
      </td>

      <td>
        `pixel_cpa`
      </td>

      <td>
        formula
      </td>

      <td>
        The cost to acquire a purchase as reported by Pixel.

        Pixel CPA = Spend / Number of Pixel Purchases
      </td>
    </tr>

    <tr>
      <td>
        Pixel New Customer Average Order Value
      </td>

      <td>
        `pixel_nc_aov`
      </td>

      <td>
        formula
      </td>

      <td>
        The average order value for new customers as reported by Pixel.

        Pixel NC AOV = Pixel New Customer CV / Pixel New Customer Purchases

        [Learn how Triple Whale classifies new/returning customers](https://triplewhale.readme.io/docs/is-new-customer#/).
      </td>
    </tr>

    <tr>
      <td>
        Pixel Profit
      </td>

      <td>
        `pixel_profit`
      </td>

      <td>
        formula
      </td>

      <td>
        The profit calculated as conversion value (order revenue) minus ad spend and cost of goods, as reported by Pixel.

        Pixel Profit = Pixel CV - Spend - Pixel COGS
      </td>
    </tr>

    <tr>
      <td>
        Pixel Return on Ad Spend
      </td>

      <td>
        `pixel_roas`
      </td>

      <td>
        formula
      </td>

      <td>
        Pixel-reported revenue relative to ad spend.

        Pixel ROAS = Pixel CV / Spend
      </td>
    </tr>

    <tr>
      <td>
        Pixel Returning Customer Purchases
      </td>

      <td>
        `returning_customer_orders`
      </td>

      <td>
        formula
      </td>

      <td>
        Number of Pixel-reported orders placed by Returning Customers.

        [Learn how Triple Whale classifies new/returning customers](https://triplewhale.readme.io/docs/is-new-customer#/).
      </td>
    </tr>

    <tr>
      <td>
        Pixel Returning Customer Conversion Value
      </td>

      <td>
        `returning_customer_revenue`
      </td>

      <td>
        formula
      </td>

      <td>
        Pixel-reported conversion value (attributed order revenue) derived from Returning Customers.

        Pixel Returning Customer CV = Pixel CV - Pixel New Customer CV

        [Learn how Triple Whale classifies new/returning customers](https://triplewhale.readme.io/docs/is-new-customer#/).
      </td>
    </tr>

    <tr>
      <td>
        Pixel Returning Customers Percent
      </td>

      <td>
        `returning_customers_percent`
      </td>

      <td>
        formula
      </td>

      <td>
        The percentage of Pixel-reported purchases made by Returning Customers.

        Pixel New Customers % = Number of Returning Customer Pixel Purchases / Total Pixel Purchases

        [Learn how Triple Whale classifies new/returning customers](https://triplewhale.readme.io/docs/is-new-customer#/).
      </td>
    </tr>
  </tbody>
</Table>

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