Pixel Joined Table
pixel_joined_tvf
The Pixel Joined table combines essential advertising and transaction data, giving users insights into how campaigns, ad sets, and ads drive revenue, customer acquisition, and ROAS. This unified view supports better marketing strategies and optimized budget allocation for improved ROI.
Key Concepts When Using Pixel Joined Table
Aggregation and Attribution
- The Ads table is the core of the Pixel Joined table. Additional tables (e.g., Orders, Email/SMS, Refunds) are outer joined dynamically based on which columns are queried.
- Data is aggregated at the ad level, with Triple Attribution model and Lifetime attribution window applied by default.
Metrics
- Channel-Reported data (e.g.,
channel_reported_conversions
,channel_reported_conversion_value
) comes directly from ad platforms, reflecting channel-specific data.- Pixel-Reported data (e.g.,
orders_quantity
,order_revenue
) is captured via Triple Whale Pixel and the shop platform (e.g. Shopify, BigCommerce, WooCommerce), providing detailed order insights from e-commerce platforms.Custom Conversion Events
- Custom conversion event columns are added as
<Event Name>_conversion
(the total count of the custom conversion event and<Event Name>_conversion_value
(the total conversion value, for events with defined value and currency properties). Learn more about Custom Conversion EventsOrder Data in Pixel Joined vs. Pixel Orders tables
- Order data in the Pixel Joined table primarily comes from the shop platform (e.g., Shopify, BigCommerce, WooCommerce) as well as via onsite channel shops (e.g. Meta Shop and TikTok Shop).
- Onsite purchase data (e.g. Meta Shop and TikTok Shop) is also included in the Pixel Orders table, but is only available at the channel level.
- The Pixel Joined and Pixel Orders tables may show different order counts for ads on platforms with onsite shops (e.g. Meta, TikTok) due to channel-reported orders that are tracked in the Pixel Orders table but not Pixel Joined table (e.g. organic orders).
Simulated Query Behavior
group by attribution_window
andgroup by model
will not work on certain complex queries, because the Pixel Joined table functions as a simulated view rather than a standard SQL table. It dynamically processes data based on user queries, which can introduce constraints compared to typical SQL behavior.
Note
event_date
is a required field for queries on this table. By default refers to the purchase date.
Parameters
Parameters can be used to customize and filter the data in the table.
Title | ID | Description |
---|---|---|
City Filter |
| Filters results by city. |
Country Filter |
| Filters results by country. |
Include Custom Ad Spend |
| Includes custom ad spend in the Possible: |
Order Tags Filter |
| Filters orders by tags. Matches any order containing the specified comma-separated tags. |
Subscription Filter |
| Filters results by subscription type. Possible values: |
Use Click Date |
| Uses click date instead of purchase date for Possible values: |
Dimensions
Dimensions are immutable properties that can be used for grouping data.
Title | ID | Type | Description |
---|---|---|---|
Event Date |
| date | The date the ad was run or the order was placed. Based on the time zone of the shop at the moment the event occurred. |
Event Day |
| date | The day on which the event occurred. Derived from |
Event Week |
| date | The Sunday of the week during which the event occurred. Derived from |
Event Month |
| date | The month during which the event occurred. Derived from |
Event Quarter |
| date | The first month of the quarter during which the event occurred. Derived from |
Event Year |
| date | The year during which the event occurred. Derived from |
Event Hour |
| string | The hour of the day on which the ad was run or the order was placed, according to a 24-hour clock. Based on the time zone of the shop at the moment of the event. Example values: |
Ad Bid Amount |
| string | The bid amount for the ad. Example values: |
Ad Copy |
| string | The full text (copy) of the ad. |
Ad ID |
| string | The unique ad ID. Assigned by the ad platform. Example value: |
Ad Image URL |
| string | The URL of the ad image. Example value: |
Ad Name |
| string | The name of the ad. Example values: |
Ad Status |
| string | The status of the ad. Example values: |
Ad Title |
| string | The title assigned to the ad, typically used to identify it in campaigns. Example values: |
Ad Type |
| string | The format of the ad. Example values: |
Ad Set Bid Amount |
| string | The bid amount for the ad set. Example values: |
Ad Set Bid Strategy |
| string | The bidding strategy for the ad set. Example values: |
Ad Set Daily Budget |
| string | The daily budget (in cents) set for the ad set within a campaign. By default shown in the shop's currency. Example values: |
Ad Set ID |
| string | The unique ID for the ad set associated with the ad click. Assigned by the ad platform. Example value: |
Ad Set Lifetime Budget |
| string | The total budget (in cents) set for the ad set within a campaign over its lifetime. By default shown in the shop's currency. Example values: |
Ad Set Name |
| string | The name of the ad set within a campaign. Example values: |
Ad Set Status |
| string | The status of the ad set. Example values: |
Ad Recommendation |
| string | This agent appears in your Pixel Page as your creative optimization specialist, analyzing Facebook ad performance metrics focusing on ads with over $100 in spend to identify winners and under-performers. By evaluating detailed engagement metrics, creative performance, and conversion data, it delivers specific recommendations for scaling successful ads and stopping inefficient ones. |
Ad Rule Recommendation |
| string | Embedded within your Pixel Page metrics, this precision-focused agent analyzes your Facebook ads' 7-day performance using Triple Whale's linear attribution model. By evaluating key metrics including spend, pixel ROAS, and average order value (AOV), it automatically identifies which ads to scale, replicate, or pause, focusing specifically on ads with significant spend (>$100) to ensure reliable recommendations. |
Adset Recommendation |
| string | This agent is your specialized analyst for Facebook adset optimization. By analyzing detailed performance metrics at the adset level, it provides specific recommendations for budget adjustments, targeting refinements, and scheduling changes to maximize the efficiency of your advertising spend. This agent can be added to your Pixel Table or other tables in Triple Whale. |
Adset Rule Recommendation |
| string | Working alongside your campaign metrics in the Pixel Page, this specialized agent analyzes Meta adset performance over a 3-day window plus today, using Triple Whale's linear attribution model. By comparing current spend against adjusted daily budgets and evaluating ROAS performance relative to 7-day benchmarks, it automatically recommends precise 20% budget adjustments for your active adsets, focusing specifically on those meeting minimum spend thresholds. |
Benchmark Analysis |
| string | Operating within your Pixel Page metrics, the Benchmark Analysis Agent compares your Facebook CPM performance over the last 7 days against industry benchmarks. By analyzing daily CPM trends and comparing them to peer averages, it automatically determines if your costs are above benchmark, below benchmark, or on trend, providing clear guidance for spend optimization. |
Campaign Delayed Attribution |
| string | |
Campaign LTV |
| string | |
Campaign Recommendation |
| string | This agent is your dedicated strategist for Facebook campaign optimization. By analyzing key performance data like spend, ROAS, and CPA across different time periods, it provides a clear view of trends and anomalies while offering actionable recommendations. This helps you confidently decide whether to scale, reduce, or pause campaigns to maximize ROI. This agent can be added to your Pixel Table. |
Campaign Rule Recommendation |
| string | This agent automatically monitors Meta campaign performance against predefined rules and thresholds, surfaced right in your Pixel Page. By analyzing spend patterns and ROAS performance relative to account averages, it delivers clear, actionable budget recommendations to maintain campaign efficiency and capitalize on opportunities. |
Conversion Pacing |
| string | This agent is your always-on analyst for tracking and evaluating Facebook campaign revenue performance. By comparing current-day conversion values against historical patterns it provides instant insights into whether your campaigns are meeting, exceeding, or falling short of typical performance, enabling quick optimization decisions. This agent can be added to your Pixel Table. |
Creative Fatigue |
| string | A specialized component of your Pixel Page analytics suite, the Creative Fatigue Agent performs daily analysis of your Facebook ads over a 14-day period. By tracking day-over-day trends in CPM, CTR, spend, and impression metrics, it automatically determines if your creative performance is improving, degrading, or maintaining consistency, providing clear signals for when to refresh or scale your ad creative. |
Creative Hooks |
| string | |
Creative Tags |
| string | |
Model Comparison |
| string | Located in the campaign metrics section of your Pixel Page, this specialized agent analyzes 7-day Facebook campaign performance using seven distinct attribution models. By comparing pixel ROAS and conversion values across Linear All, Linear Paid, Triple Attribution, First Click, Last Click, and Total Impact models, it identifies statistically significant performance variations, focusing on campaigns with minimum conversion values of $1 to ensure meaningful analysis. |
NC ROAS Pacing |
| string | This agent is your dedicated analyst for tracking and evaluating your Facebook campaign performance by tracking spend and pixel conversion values on an hourly basis for the current day. By comparing current-day new customer ROAS against historical patterns, it provides instant insights into whether your campaigns are efficiently acquiring new customers, enabling quick optimization decisions to maximize acquisition spend. This agent can be added to your Pixel Table. |
Target Spend |
| string | |
Attribution Window |
| string | The time frame for attributing conversions to the ad. By default Example values: |
Campaign Bid Strategy |
| string | The bidding strategy for the campaign. Example values: |
Campaign Daily Budget |
| string | The daily budget (in cents) for the campaign. Example values: |
Campaign ID |
| string | The unique ID for the marketing campaign associated with the ad. Assigned by the ad platform. Example values: |
Campaign Lifetime Budget |
| string | The lifetime budget (in cents) for the campaign. Example values: |
Campaign Name |
| string | The name of the marketing campaign associated with the ad. Example values: |
Campaign Status |
| string | The status of the campaign. Example values: |
Channel |
| string | The platform through which the ad was delivered. Example values: |
Creative CTA Type |
| string | The type of call-to-action (CTA) used in the ad. Example values: |
Destination URL |
| string | The destination URL where users land after clicking the ad. Example value: |
Attribution Model |
| string | The attribution model used. By default Example values: |
| |||
| |||
URL Template |
| string | A template URL used to dynamically populate ad URLs with relevant tracking parameters. Example value: |
Video URL |
| string | The URL of the ad video. Example value: |
| |||
|
Measures
Measures are numeric fields that can be aggregated and/or combined to calculate new metrics.
Title | ID | Type | Description |
---|---|---|---|
Pixel Add to Carts |
| numeric | The Pixel-reported number of Add To Carts from unique customers. |
AI Optimal Budget (MTA) |
| numeric | |
AI Optimal Budget (MTA + MMM) |
| numeric | |
AI ROAS Forecast |
| numeric | Found in your Pixel Page metrics, the ROAS Forecast Agent analyzes 30 days of historical campaign data to predict ROAS performance over the next 7 days. By generating daily ROAS forecasts and average performance predictions for each of your campaigns, it enables proactive optimization decisions before performance shifts occur. |
Pixel Bounces |
| numeric | The Pixel-reported number of single-page sessions where the visitor left the site after a single page view. |
Channel-Reported Conversion Value |
| numeric | Revenue generated from channel-reported conversions (purchases). |
Channel-Reported Conversions (Purchases) |
| numeric | Number of channel-reported conversions (purchases). |
Channel-Reported Onsite Conversion Value |
| numeric | Revenue from channel-reported purchases made on the ad channel shop (e.g. Meta Shop, TikTok Shop). |
Channel-Reported Onsite Purchases |
| numeric | Number of channel-reported purchases made on the ad channel shop (e.g. Meta Shop, TikTok Shop). |
Channel-Reported Visits |
| numeric | Number of channel-reported visits. |
Clicks |
| numeric | Number of channel-reported clicks. |
Pixel Cost of Goods |
| numeric | 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 > 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. |
SMS Messages Delivered |
| numeric | The channel-reported number of messages that successfully reached the recipients' phones. |
Pixel Email Signups |
| numeric | The Pixel-reported total number of users who signed up for the mailing list during a session. |
Pixel Gross Sales |
| numeric | Pixel-reported gross sales, before adjustments such as discounts, shipping, fees, taxes, and refunds. Gross Sales = Product Price x Units Sold |
Impressions |
| numeric | Number of channel-reported impressions. |
Pixel New Customer Cost of Goods |
| numeric | 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 > Cost of Goods. Note that Triple Whale classifies all customers as either new or returning, while the main sales platform may leave some unclassified, potentially leading to discrepancies. Also 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. |
Pixel New Customer Conversion Value |
| numeric | Pixel-reported conversion value (order revenue) derived from New Customers. Note that Triple Whale classifies all customers as either new or returning, while the main sales platform may leave some unclassified, potentially leading to discrepancies. |
Pixel New Customer Purchases |
| numeric | Number of Pixel-reported orders placed by New Customers. Note that Triple Whale classifies all customers as either new or returning, while the main sales platform may leave some unclassified, potentially leading to discrepancies. |
Pixel New Visitors |
| numeric | The Pixel-reported number of first-time visitors to the site. |
One-Day View Conversion Value |
| numeric | The total value of channel-reported purchases made within one day of viewing the ad. |
One-Day View Purchases |
| numeric | The total number of channel-reported purchases made within one day of viewing the ad. |
Opens |
| numeric | The channel-reported number of times the email/sms was opened by recipients. |
Pixel Conversion Value (CV) |
| numeric | Pixel-reported conversion value (order revenue), after adjustments such as discounts, shipping, fees, and taxes (but before refunds). Order Revenue = Gross Sales - Discounts + Shipping + Tax |
Pixel Purchases |
| numeric | 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. |
Outbound Clicks |
| numeric | Number of channel-reported outbound clicks. |
Received Messages |
| numeric | The channel-reported number of email messages successfully received by the target audience. |
Refunds |
| numeric | Refund value processed during the selected time period, based on the order date (not including refunded cost of goods, taxes, and shipping). Note that Triple Whale does not track refunds from third-party return management apps (e.g., Loop), so totals may vary from the main sales platform. |
SMS Messages Sent |
| numeric | The channel-reported number of SMS messages sent in the campaign. |
Pixel Session Page Views |
| numeric | The Pixel-reported number of pages viewed during a website session. |
Pixel Sessions |
| numeric | The Pixel-reported number of online store sessions. Note that Triple Whale defines and tracks sessions differently from the main sales platform so there may be variance between the two. Learn how Triple Whale defines and tracks sessions. |
Ad Spend |
| numeric | Channel-reported ad spend, excluding any custom expenses marked as ad spend. |
Subscribed to Mailing List |
| numeric | The channel-reported number of recipients subscribed to any mailing list. |
Pixel Time on Site |
| numeric | The Pixel-reported time spent by users on the site during a session, measured in seconds. |
Pixel Unique Visitors |
| numeric | The Pixel-reported number of unique visitors to the site. |
Unsubscribed |
| numeric | The channel-reported number of recipients who unsubscribed from any mailing list. |
Website Purchases |
| numeric | The total number of Pixel-reported purchases (orders) during a website session. Excludes recurring subscription purchases. |
Derived
Derived fields are metrics that are pre-calculated using multiple measures or advanced formulas.
Title | ID | Type | Description |
---|---|---|---|
Pixel Average Page Views Per Session |
| formula | The average number of pages viewed by users during each session. Pixel Average Page Views Per Session = Session Page Views / Number of Sessions |
Pixel Average Session Duration |
| formula | The average time users spend on your site per session. Pixel Average Session Duration (in seconds) = Time on Site / (Number of Sessions - Number of Bounces) |
Pixel Bounce Rate |
| formula | The percentage of single-page visits (bounces) out of total sessions. Pixel Bounce Rate = Number of Bounces / Number of Sessions |
Channel-Reported AOV |
| formula | The average order value as reported by the advertising channel. Channel-Reported AOV = Channel-Reported Conversion Value / Number of Channel-Reported Conversions |
Channel-Reported Conversion Rate |
| formula | The percentage of visits that convert into orders, as reported by the channel. Channel-Reported Conversion Rate = Number of Channel-Reported Conversions / Number of Visits |
Channel-Reported Cost Per Acquisition |
| formula | The cost to acquire a single conversion, as reported by the channel. Channel-Reported CPA = Ad Spend / Number of Channel-Reported Conversions |
Channel-Reported Return on Ad Spend |
| formula | Revenue generated per dollar spent on ads, as reported by the channel. Channel-Reported ROAS = Channel-Reported Conversion Value / Ad Spend |
Cost Per Click (CPC) |
| formula | The average cost for each ad click. Cost Per Click (CPC) = Ad Spend / Clicks |
Cost Per Mille (CPM) |
| formula | The cost for 1,000 ad impressions. Cost Per Mille (CPM) = Ad Spend / Impressions x 1000 |
Cost Per Visit (CPV) |
| formula | The cost for each visit driven by ads. Cost Per Visit (CPV) = Ad Spend / Number of Visits |
Click-Through Rate |
| formula | The percentage of impressions that result in a click. Click-Through Rate (CTR) = Clicks / Impressions |
Pixel Email Signup Rate |
| formula | The percentage of sessions that result in email signups. Pixel Email SUR = Number of Email Signups / Number of Sessions |
Pixel New Customer Cost Per Acquisition |
| formula | The cost to acquire a new customer, as reported by Pixel. Note that Triple Whale classifies all customers as either new or returning, while the main sales platform may leave some unclassified, potentially leading to discrepancies. Pixel NCPA = Blended Ad Spend / Number of New Customer Orders |
Pixel New Customer ROAS |
| formula | Revenue from new customers relative to ad spend. Note that Triple Whale classifies all customers as either new or returning, while the main sales platform may leave some unclassified, potentially leading to discrepancies. Pixel NC ROAS = New Customer Pixel Conversion Value / Ad Spend |
Pixel New Customers Percent |
| formula | The percentage of Pixel-reported purchases made by new customers. Note that Triple Whale classifies all customers as either new or returning, while the main sales platform may leave some unclassified, potentially leading to discrepancies. Pixel New Customers % = Number of New Customer Pixel Purchases / Total Pixel Purchases |
Outbound Click-Through Rate |
| formula | The percentage of impressions that result in outbound clicks. Outbound CTR = Outbound Clicks / Impressions |
Pixel AOV |
| formula | The Pixel-reported average order value. Pixel AOV = Pixel Conversion Value / Number of Pixel Purchases |
Pixel Conversion Rate |
| formula | The percentage of website sessions that result in purchases, as reported by Pixel. Conversion Rate = Number of Website Purchases / Number of Sessions |
Pixel Conversion Value Delta |
| formula | The difference between Pixel-reported conversion value and channel-reported conversion value. Pixel CV Delta = Pixel Conversion Value - Channel-Reported Conversion Value |
Pixel Cost Per Add To Cart |
| formula | The cost associated with each add-to-cart action as reported by Pixel. Pixel Cost Per ATC = Ad Spend / Number of Add to Carts |
Pixel Cost Per Email Signup |
| formula | The cost associated with each email signup as reported by Pixel. Pixel Cost Per ESU = Ad Spend / Number of Email Signups |
Pixel Cost Per New Visitor |
| formula | The cost to acquire a new visitor as reported by Pixel. Pixel Cost Per New Visitor = Ad Spend / Number of New Visitors |
Pixel Cost Per Visitor |
| formula | The cost to acquire a unique visitor as reported by Pixel. Pixel Cost Per Visitor = Ad Spend / Number of Unique Visitors |
Pixel Cost Per Acquisition |
| formula | The cost to acquire a purchase as reported by Pixel. Pixel CPA = Ad Spend / Number of Pixel Purchases |
Pixel New Customer Average Order Value |
| formula | The average order value for new customers as reported by Pixel. Note that Triple Whale classifies all customers as either new or returning, while the main sales platform may leave some unclassified, potentially leading to discrepancies. Pixel NC AOV = New Customer Pixel Conversion Value / Number of New Customer Pixel Purchases |
Pixel New Customer Conversion Rate |
| formula | The conversion rate for new customers as reported by Pixel. Note that Triple Whale classifies all customers as either new or returning, while the main sales platform may leave some unclassified, potentially leading to discrepancies. Pixel NC CR = Number of New Customer Pixel Purchases / Number of New Visitors |
Pixel New Visitor Percent |
| formula | The percentage of all visitors that are new as reported by Pixel. Pixel New Visitor % = Number of New Visitors / Number of Unique Visitors |
Pixel Profit |
| formula | The profit calculated as conversion value (order revenue) minus ad spend and cost of goods, as reported by Pixel. Pixel Profit = Pixel Conversion Value - Ad Spend - Pixel COGS |
Pixel Return on Ad Spend |
| formula | Pixel-reported revenue relative to ad spend. Pixel ROAS = Pixel Conversion Value / Ad Spend |
Pixel Returning Customer Purchases |
| formula | Number of Pixel-reported orders placed by Returning Customers. Note that Triple Whale classifies all customers as either new or returning, while the main sales platform may leave some unclassified, potentially leading to discrepancies. |
Pixel Returning Customer Revenue |
| formula | Pixel-reported conversion value (order revenue) derived from Returning Customers. Note that Triple Whale classifies all customers as either new or returning, while the main sales platform may leave some unclassified, potentially leading to discrepancies. |
Pixel Returning Customers Percent |
| formula | The percentage of Pixel-reported purchases made by Returning Customers. Note that Triple Whale classifies all customers as either new or returning, while the main sales platform may leave some unclassified, potentially leading to discrepancies. Pixel New Customers % = Number of Returning Customer Pixel Purchases / Total Pixel Purchases |
Updated about 22 hours ago