- Introduction
-
Getting Started
- Creating an Account in Hevo
- Subscribing to Hevo via AWS Marketplace
- Subscribing to Hevo via Snowflake Marketplace
- Connection Options
- Familiarizing with the UI
- Creating your First Pipeline
- Data Loss Prevention and Recovery
-
Data Ingestion
- Types of Data Synchronization
- Ingestion Modes and Query Modes for Database Sources
- Ingestion and Loading Frequency
- Data Ingestion Statuses
- Deferred Data Ingestion
- Handling of Primary Keys
- Handling of Updates
- Handling of Deletes
- Hevo-generated Metadata
- Best Practices to Avoid Reaching Source API Rate Limits
-
Edge
- Getting Started
- Data Ingestion
- Core Concepts
-
Pipelines
- Familiarizing with the Pipelines UI (Edge)
- Creating an Edge Pipeline
- Working with Edge Pipelines
- Pipeline Job History
- Object and Schema Management
- Activity Log
-
Sources
- PostgreSQL
- Oracle
- MySQL
- SQL Server
- CockroachDB
- Troubleshooting Database Sources
- Salesforce Bulk API V2
- Ordergroove
- BambooHR
- Stripe
- NetSuite SuiteAnalytics
- Shopify
- Slack
- ClickUp
- Monday.com
- Pipedrive
- Workable
- Fathom
- HubSpot
- Salesforce Marketing Cloud
- Google Analytics 4
- Google Ads
- Facebook Ads
- Microsoft Ads
- Naming Conventions for Source Data Entities
- Destinations
- Transformations
- Alerts
- Custom Connectors
-
Releases
- Edge Release Notes - August 2026
- Edge Release Notes - July 2026
- Edge Release Notes - June 2026
- Edge Release Notes - May 2026
- Edge Release Notes - April 2026
- Edge Release Notes - March 2026
- Edge Release Notes - February 2026
- Edge Release Notes - January 2026
- Edge Release Notes - December 2025
- Edge Release Notes - November 2025
- Edge Release Notes - October 2025
- Edge Release Notes - September 2025
- Edge Release Notes - August 2025
- Edge Release Notes - July 2025
- Edge Release Notes - November 2024
-
Data Loading
- Loading Data in a Database Destination
- Loading Data to a Data Warehouse
- Optimizing Data Loading for a Destination Warehouse
- Deduplicating Data in a Data Warehouse Destination
- Manually Triggering the Loading of Events
- Scheduling Data Load for a Destination
- Loading Events in Batches
- Data Loading Statuses
- Data Spike Alerts
- Name Sanitization
- Table and Column Name Compression
- Parsing Nested JSON Fields in Events
-
Pipelines
- Data Flow in a Pipeline
- Familiarizing with the Pipelines UI
- Working with Pipelines
- Managing Objects in Pipelines
- Pipeline Jobs
-
Transformations
-
Python Code-Based Transformations
- Supported Python Modules and Functions
-
Transformation Methods in the Event Class
- Create an Event
- Retrieve the Event Name
- Rename an Event
- Retrieve the Properties of an Event
- Modify the Properties for an Event
- Fetch the Primary Keys of an Event
- Modify the Primary Keys of an Event
- Fetch the Data Type of a Field
- Check if the Field is a String
- Check if the Field is a Number
- Check if the Field is Boolean
- Check if the Field is a Date
- Check if the Field is a Time Value
- Check if the Field is a Timestamp
-
TimeUtils
- Convert Date String to Required Format
- Convert Date to Required Format
- Convert Datetime String to Required Format
- Convert Epoch Time to a Date
- Convert Epoch Time to a Datetime
- Convert Epoch to Required Format
- Convert Epoch to a Time
- Get Time Difference
- Parse Date String to Date
- Parse Date String to Datetime Format
- Parse Date String to Time
- Utils
- Examples of Python Code-based Transformations
-
Drag and Drop Transformations
- Special Keywords
-
Transformation Blocks and Properties
- Add a Field
- Change Datetime Field Values
- Change Field Values
- Drop Events
- Drop Fields
- Find & Replace
- Flatten JSON
- Format Date to String
- Format Number to String
- Hash Fields
- If-Else
- Mask Fields
- Modify Text Casing
- Parse Date from String
- Parse JSON from String
- Parse Number from String
- Rename Events
- Rename Fields
- Round-off Decimal Fields
- Split Fields
- Examples of Drag and Drop Transformations
- Effect of Transformations on the Destination Table Structure
- Transformation Reference
- Transformation FAQs
-
Python Code-Based Transformations
-
Schema Mapper
- Using Schema Mapper
- Mapping Statuses
- Auto Mapping Event Types
- Manually Mapping Event Types
- Modifying Schema Mapping for Event Types
- Schema Mapper Actions
- Fixing Unmapped Fields
- Resolving Incompatible Schema Mappings
- Resizing String Columns in the Destination
- Changing the Data Type of a Destination Table Column
- Schema Mapper Compatibility Table
- Limits on the Number of Destination Columns
- File Log
- Troubleshooting Failed Events in a Pipeline
- Mismatch in Events Count in Source and Destination
- Audit Tables
- Activity Log
-
Pipeline FAQs
- Can multiple Sources connect to one Destination?
- What happens if I re-create a deleted Pipeline?
- Why is there a delay in my Pipeline?
- Can I change the Destination post-Pipeline creation?
- Why is my billable Events high with Delta Timestamp mode?
- Can I drop multiple Destination tables in a Pipeline at once?
- How does Run Now affect scheduled ingestion frequency?
- Will pausing some objects increase the ingestion speed?
- Can I see the historical load progress?
- Why is my Historical Load Progress still at 0%?
- Why is historical data not getting ingested?
- How do I set a field as a primary key?
- How do I ensure that records are loaded only once?
- Why can't I see my Pipelines after logging in?
- Events Usage
-
Sources
- Free Sources
-
Databases and File Systems
- Data Warehouses
-
Databases
- Connecting to a Local Database
- Amazon DocumentDB
- Amazon DynamoDB
- Elasticsearch
-
MongoDB
- Generic MongoDB
- MongoDB Atlas
- Support for Multiple Data Types for the _id Field
- Example - Merge Collections Feature
-
Troubleshooting MongoDB
-
Errors During Pipeline Creation
- Error 1001 - Incorrect credentials
- Error 1005 - Connection timeout
- Error 1006 - Invalid database hostname
- Error 1007 - SSH connection failed
- Error 1008 - Database unreachable
- Error 1011 - Insufficient access
- Error 1028 - Primary/Master host needed for OpLog
- Error 1029 - Version not supported for Change Streams
- SSL 1009 - SSL Connection Failure
- Troubleshooting MongoDB Change Streams Connection
- Troubleshooting MongoDB OpLog Connection
-
Errors During Pipeline Creation
- SQL Server
-
MySQL
- Amazon Aurora MySQL
- Amazon RDS MySQL
- Azure MySQL
- Generic MySQL
- Google Cloud MySQL
- MariaDB MySQL
-
Troubleshooting MySQL
-
Errors During Pipeline Creation
- Error 1003 - Connection to host failed
- Error 1006 - Connection to host failed
- Error 1007 - SSH connection failed
- Error 1011 - Access denied
- Error 1012 - Replication access denied
- Error 1017 - Connection to host failed
- Error 1026 - Failed to connect to database
- Error 1027 - Unsupported BinLog format
- Failed to determine binlog filename/position
- Schema 'xyz' is not tracked via bin logs
- Errors Post-Pipeline Creation
-
Errors During Pipeline Creation
- MySQL FAQs
- Oracle
-
PostgreSQL
- Amazon Aurora PostgreSQL
- Amazon RDS PostgreSQL
- Azure PostgreSQL
- Generic PostgreSQL
- Google Cloud PostgreSQL
- Heroku PostgreSQL
- Upgrading Pipelines with PostgreSQL Sources to Use the pgoutput Plugin
-
Troubleshooting PostgreSQL
-
Errors during Pipeline creation
- Error 1003 - Authentication failure
- Error 1006 - Connection settings errors
- Error 1011 - Access role issue for logical replication
- Error 1012 - Access role issue for logical replication
- Error 1014 - Database does not exist
- Error 1017 - Connection settings errors
- Error 1023 - No pg_hba.conf entry
- Error 1024 - Number of requested standby connections
- Errors Post-Pipeline Creation
-
Errors during Pipeline creation
-
PostgreSQL FAQs
- Can I track updates to existing records in PostgreSQL?
- How can I migrate a Pipeline created with one PostgreSQL Source variant to another variant?
- How can I prevent data loss when migrating or upgrading my PostgreSQL database?
- Why do FLOAT4 and FLOAT8 values in PostgreSQL show additional decimal places when loaded to BigQuery?
- Why is data not being ingested from PostgreSQL Source objects?
- Troubleshooting Database Sources
- Database Source FAQs
- File Storage
- Engineering Analytics
- Finance & Accounting Analytics
-
Marketing Analytics
- ActiveCampaign
- AdRoll
- Amazon Ads
- Apple Search Ads
- AppsFlyer
- CleverTap
- Criteo
- Drip
- Facebook Ads
- Facebook Page Insights
- Firebase Analytics
- Freshsales
- Google Ads
- Google Analytics 4
- Google Analytics 360
- Google Play Console
- Google Search Console
- HubSpot
- Instagram Business
- Klaviyo v2
- Lemlist
- LinkedIn Ads
- Mailchimp
- Mailshake
- Marketo
- Microsoft Ads
- Onfleet
- Outbrain
- Pardot
- Pinterest Ads
- Pipedrive
- Recharge
- Segment
- SendGrid Webhook
- SendGrid
- Salesforce Marketing Cloud
- Snapchat Ads
- SurveyMonkey
- Taboola
- TikTok Ads
- Twitter Ads
- Typeform
- YouTube Analytics
- Product Analytics
- Sales & Support Analytics
- Source FAQs
-
Destinations
- Familiarizing with the Destinations UI
- Cloud Storage-Based
- Databases
-
Data Warehouses
- Amazon Redshift
- Amazon Redshift Serverless
- Azure Synapse Analytics
- Databricks
-
Google BigQuery
- Clustering in BigQuery
- Partitioning in BigQuery
- Structure of Data in the Google BigQuery Data Warehouse
- Loading Data to a Google BigQuery Data Warehouse
- Near Real-time Data Loading using Streaming
- Modifying BigQuery Destinations to Use Service Account Authentication
- Troubleshooting Google BigQuery
- Google BigQuery FAQs
- Hevo Managed Google BigQuery
- Snowflake
- Troubleshooting Data Warehouse Destinations
-
Destination FAQs
- Can I change the primary key in my Destination table?
- Can I change the Destination table name after creating the Pipeline?
- How can I change or delete the Destination table prefix?
- Why does my Destination have deleted Source records?
- How do I filter deleted Events from the Destination?
- Does a data load regenerate deleted Hevo metadata columns?
- How do I filter out specific fields before loading data?
- Transform
- Alerts
- Account Management
- Activate
- Glossary
-
Releases- 2026 Releases
-
2025 Releases
- Release 2.44 (Dec 01, 2025-Jan 12, 2026)
- Release 2.43 (Nov 03-Dec 01, 2025)
- Release 2.42 (Oct 06-Nov 03, 2025)
- Release 2.41 (Sep 08-Oct 06, 2025)
- Release 2.40 (Aug 11-Sep 08, 2025)
- Release 2.39 (Jul 07-Aug 11, 2025)
- Release 2.38 (Jun 09-Jul 07, 2025)
- Release 2.37 (May 12-Jun 09, 2025)
- Release 2.36 (Apr 14-May 12, 2025)
- Release 2.35 (Mar 17-Apr 14, 2025)
- Release 2.34 (Feb 17-Mar 17, 2025)
- Release 2.33 (Jan 20-Feb 17, 2025)
-
2024 Releases
- Release 2.32 (Dec 16 2024-Jan 20, 2025)
- Release 2.31 (Nov 18-Dec 16, 2024)
- Release 2.30 (Oct 21-Nov 18, 2024)
- Release 2.29 (Sep 30-Oct 22, 2024)
- Release 2.28 (Sep 02-30, 2024)
- Release 2.27 (Aug 05-Sep 02, 2024)
- Release 2.26 (Jul 08-Aug 05, 2024)
- Release 2.25 (Jun 10-Jul 08, 2024)
- Release 2.24 (May 06-Jun 10, 2024)
- Release 2.23 (Apr 08-May 06, 2024)
- Release 2.22 (Mar 11-Apr 08, 2024)
- Release 2.21 (Feb 12-Mar 11, 2024)
- Release 2.20 (Jan 15-Feb 12, 2024)
-
2023 Releases
- Release 2.19 (Dec 04, 2023-Jan 15, 2024)
- Release Version 2.18
- Release Version 2.17
- Release Version 2.16 (with breaking changes)
- Release Version 2.15 (with breaking changes)
- Release Version 2.14
- Release Version 2.13
- Release Version 2.12
- Release Version 2.11
- Release Version 2.10
- Release Version 2.09
- Release Version 2.08
- Release Version 2.07
- Release Version 2.06
-
2022 Releases
- Release Version 2.05
- Release Version 2.04
- Release Version 2.03
- Release Version 2.02
- Release Version 2.01
- Release Version 2.00
- Release Version 1.99
- Release Version 1.98
- Release Version 1.97
- Release Version 1.96
- Release Version 1.95
- Release Version 1.93 & 1.94
- Release Version 1.92
- Release Version 1.91
- Release Version 1.90
- Release Version 1.89
- Release Version 1.88
- Release Version 1.87
- Release Version 1.86
- Release Version 1.84 & 1.85
- Release Version 1.83
- Release Version 1.82
- Release Version 1.81
- Release Version 1.80 (Jan-24-2022)
- Release Version 1.79 (Jan-03-2022)
-
2021 Releases
- Release Version 1.78 (Dec-20-2021)
- Release Version 1.77 (Dec-06-2021)
- Release Version 1.76 (Nov-22-2021)
- Release Version 1.75 (Nov-09-2021)
- Release Version 1.74 (Oct-25-2021)
- Release Version 1.73 (Oct-04-2021)
- Release Version 1.72 (Sep-20-2021)
- Release Version 1.71 (Sep-09-2021)
- Release Version 1.70 (Aug-23-2021)
- Release Version 1.69 (Aug-09-2021)
- Release Version 1.68 (Jul-26-2021)
- Release Version 1.67 (Jul-12-2021)
- Release Version 1.66 (Jun-28-2021)
- Release Version 1.65 (Jun-14-2021)
- Release Version 1.64 (Jun-01-2021)
- Release Version 1.63 (May-19-2021)
- Release Version 1.62 (May-05-2021)
- Release Version 1.61 (Apr-20-2021)
- Release Version 1.60 (Apr-06-2021)
- Release Version 1.59 (Mar-23-2021)
- Release Version 1.58 (Mar-09-2021)
- Release Version 1.57 (Feb-22-2021)
- Release Version 1.56 (Feb-09-2021)
- Release Version 1.55 (Jan-25-2021)
- Release Version 1.54 (Jan-12-2021)
-
2020 Releases
- Release Version 1.53 (Dec-22-2020)
- Release Version 1.52 (Dec-03-2020)
- Release Version 1.51 (Nov-10-2020)
- Release Version 1.50 (Oct-19-2020)
- Release Version 1.49 (Sep-28-2020)
- Release Version 1.48 (Sep-01-2020)
- Release Version 1.47 (Aug-06-2020)
- Release Version 1.46 (Jul-21-2020)
- Release Version 1.45 (Jul-02-2020)
- Release Version 1.44 (Jun-11-2020)
- Release Version 1.43 (May-15-2020)
- Release Version 1.42 (Apr-30-2020)
- Release Version 1.41 (Apr-2020)
- Release Version 1.40 (Mar-2020)
- Release Version 1.39 (Feb-2020)
- Release Version 1.38 (Jan-2020)
- Early Access New
Edge Pipeline is now available for Public Review. You can explore and evaluate its features and share your feedback.
Microsoft Ads (formerly Bing Ads) is a pay-per-click (PPC) advertising platform that helps you reach customers across the Microsoft Search Network, Microsoft Audience Network, and partner networks. You can use Microsoft Ads to create and manage search, display, and shopping campaigns, monitor campaign performance, manage budgets, and optimize ads using audience and demographic insights.
Hevo uses the Microsoft Advertising API to replicate data from your Microsoft Ads account. It uses the following APIs to ingest different types of data:
-
Bulk API: Ingests core objects.
-
Reporting API: Ingests report data.
-
Campaign Management API: Ingests the Audience object.
-
Customer Management API: Ingests the Account object.
To ingest the data, you must authorize Hevo to access your Microsoft Ads account using Open Authorization (OAuth) 2.0.
Supported Features
| Feature Name | Supported |
|---|---|
| Capture deletes | Yes |
| History mode | No |
| Custom data (user-configured tables & fields) | Yes |
| Data blocking (skip objects and fields) | Yes |
| Resync (objects and Pipelines) | Yes |
| API configurable | No |
Prerequisites
-
An active Microsoft Ads account exists from which you want to ingest the data.
-
You have the required user role in your Microsoft Ads account to authorize Hevo’s access.
Configure Microsoft Ads as a Source in your Pipeline
Perform the following steps to configure your Microsoft Ads Source:
-
Click Pipelines in the Navigation Bar.
-
Click + Create Pipeline in the Pipelines List View.
-
On the Select Source Type page, select Microsoft Ads.
-
On the Select Destination Type page, select the type of Destination you want to use.
-
On the Select Pipeline Type page, click Edge, and then click Continue.

This page appears only if the selected Destination type is supported in Edge and your Team has an existing Microsoft Ads Pipeline with the same Destination type. Otherwise, you can proceed to create an Edge Pipeline.
-
In the Connect to your Microsoft Ads account section, click Authenticate your Microsoft Ads account, log in to your Microsoft Ads account, and click Allow to grant Hevo access to your account.

-
In the Configure Source screen, specify the following:

-
Select Account: Choose whether to sync data from all accessible accounts or only specific accounts.
- Sync All Accounts: Hevo syncs data for all ad accounts accessible to your authorized Microsoft Ads account, including any accounts added later.
- Sync Specific Accounts: Hevo ingests data only for the accounts you select from the Select Ad Accounts drop-down.
-
Additional Settings
-
Show Advanced Options: Enable this toggle to configure the following additional settings:
-
Rollback Window (days): Specify the number of days for which Hevo re-fetches previously ingested reports to capture updated report data within Microsoft Ads’s 30-day conversion-attribution window. Default: 35 days.
This value should be greater than the conversion window configured in your Microsoft Ads account.
-
-
-
Historical Sync Duration: The duration for which you want to ingest existing data from the Source. This cannot be changed after the Pipeline is created. Default: 6 months.
-
-
Click Test & Continue to test the connection to your Microsoft Ads Source.
Data Replication
Hevo replicates data for all the objects selected on the Configure Objects page during Pipeline creation. By default, all supported objects and their available fields are selected. However, you can modify this selection while creating or editing the Pipeline.
Selecting a parent object automatically includes all its associated child objects for replication. Child objects cannot be selected or deselected individually.
Hevo ingests the following types of data from your Source objects:
-
Historical Data: The first run of the Pipeline ingests historical data for the selected objects, based on the Historical Sync Duration specified when creating the Pipeline, and loads it into the Destination.
-
Incremental Data: Once the historical load is complete, new and updated records for objects are ingested as per the sync frequency.
For all objects, Hevo ingests only the incremental data in subsequent Pipeline runs:
-
For all core objects, Hevo detects incremental changes using the modified_time field.
-
For all reports, Hevo detects incremental changes using the date field.
For Report objects, Hevo also re-fetches data from the number of days specified in the Rollback Window (days) field during each sync. This captures any updates made to previously ingested report data and keeps your Destination up to date. Events ingested through data refresh are not billable.
Microsoft Ads enforces a rate limit on the number of calls that can be made to its APIs in a given time period. To understand how Hevo handles such scenarios, read Handling Rate Limit Exceptions.
Note: You can create a Pipeline with this Source only using the Merge load mode. The Append mode is not supported for this Source.
Schema and Primary Keys
Hevo uses the following schema to upload the records to the Destination. For a detailed view of the objects, fields, and relationships, click the ERD.
Data Model
The following is the list of tables (objects) that are created at the Destination when you run the Pipeline:
Core Objects
| Object | Description |
|---|---|
| Account | Contains details of your Microsoft Ads accounts, including account name, number, currency code, time zone, financial status, and billing information. |
| Campaign | Contains details of your ad campaigns, including campaign name, status, budget, campaign type, bid strategy, network distribution, and tracking settings. This object has the following child objects: - Campaign Label - Campaign Custom Parameter |
| Ad Group | Contains details of the ad groups within your campaigns, such as the ad group name, status, bid settings, network distribution, and start and end dates. This object has the following child objects: - Ad Group Label - Ad Group Custom Parameter |
| Ad | Contains details of the ads within your ad groups, such as the ad copy (title and text), ad type, display and final URLs, and editorial status. This object has the following child objects: - Ad Label - Ad Custom Parameter - Ad Publisher Country - Ad Attribute |
| Keyword | Contains details of the keywords associated with your ad groups, such as the keyword text, match type, bid, destination URL, and editorial status. This object has the following child objects: - Keyword Label - Keyword Custom Parameter - Keyword Publisher Country |
| Label | Contains details of the labels you create to organize and categorize your campaigns, ad groups, ads, and keywords, such as the label name, color, and description. |
| Budget | Contains details of the shared budgets that can be applied to one or more campaigns, such as the budget amount, budget type, and name. |
| Conversion Goal | Contains details of the conversion goals configured in your account, such as the goal type, attribution model, conversion window, and revenue tracking settings. |
| Asset Group | Contains details of the asset groups used in Performance Max campaigns, such as the business name, final URL, call to action, and editorial status. This object has a child object, Asset Group Attribute. |
| Audience | Contains details of the remarketing and custom audiences configured in your account, such as the audience name, type, scope, and network size. Note: The Audience object includes multiple audience types. Hevo stores all supported audience types in this object and uses the Type field to identify the audience type. CustomAudience, InMarketAudience, and ProductAudience are not fetched. |
Reports
Reports provide metrics about user activity and ad performance. To support both daily and hourly analysis, Hevo creates two Destination tables for each report.
| Object | Description |
|---|---|
| Account Performance Report | Contains performance metrics, such as, impressions, clicks, click-through rate (CTR), spend, conversions, and return on ad spend aggregated at the account level, broken down by device, network, and match type. |
| Campaign Performance Report | Contains performance and quality-score metrics, such as, impressions, clicks, spend, conversions, quality score, ad relevance, and landing page experience, aggregated at the campaign level. |
| Ad Group Performance Report | Contains performance metrics aggregated at the ad group level, broken down by device, network, language, and match type. |
| Ad Performance Report | Contains performance metrics aggregated at the individual ad level, broken down by device, network, language, and match type. |
| Keyword Performance Report | Contains performance metrics for individual keywords, broken down by device, network, language, and match type. |
| Account Impression Performance Report | Contains impression-share metrics aggregated at the account level. |
| Campaign Impression Performance Report | Contains impression-share metrics aggregated at the campaign level. |
| Ad Group Impression Performance Report | Contains impression-share metrics aggregated at the ad group level. |
| Search Query Performance Report | Contains performance metrics for the actual search terms that triggered your ads, mapped to the corresponding keyword, ad, ad group, and campaign. |
| Conversion Performance Report | Contains conversion and revenue metrics, such as, conversions, conversion rate, revenue, and return on ad spend aggregated at the account, campaign, ad group, and keyword level. |
| Age Gender Audience Report | Contains performance metrics broken down by the age group and gender of the audience viewing your ads, aggregated at the account, campaign, and ad group level. |
| Professional Demographics Audience Report | Contains performance metrics broken down by the company, industry, and job function of the professional audience viewing your ads, aggregated at the account, campaign, and ad group level. |
| Audience Performance Report | Contains performance metrics for the remarketing and custom audiences you have associated with your campaigns and ad groups, including the association status and bid adjustment applied. |
| Geographic Performance Report | Contains performance metrics broken down by the country, state, metro area, and city from which your ads received impressions and clicks. |
| User Location Performance Report | Contains performance metrics broken down by the physical location of the users who viewed or clicked your ads, as well as the location referenced in their search query. |
| Destination Url Performance Report | Contains performance metrics for the destination (landing) URLs used in your ads, aggregated at the account, campaign, ad group, and ad level. |
| Ad Extension Detail Report | Contains performance metrics for the ad extensions (such as sitelinks, callouts, and call extensions) associated with your ads, including the extension type and property values. |
| Ad Dynamic Text Performance Report | Contains performance metrics for ads that use dynamic text parameters, aggregated at the account, ad group, and ad level. |
| Product Dimension Performance Report | Contains performance metrics for Shopping and Performance Max campaigns, broken down by product attributes such as brand, condition, and custom labels. |
| Product Search Query Performance Report | Contains performance metrics for the search queries that triggered your Shopping ads, mapped to the corresponding product. |
| Product Partition Performance Report | Contains performance metrics for the product groups and partitions used to organize products within your Shopping campaigns. |
Additional Information
Read the detailed Hevo documentation for the following related topics:
Handling of Deletes
Hevo uses a full data refresh approach to capture delete actions. During each Pipeline run, Hevo compares the data fetched from the Source object with the data present in the Destination table. If a record exists in the Destination but is no longer returned by the Source, the record is marked as deleted by setting the value of the metadata column __hevo__marked_deleted to True. This applies only to the following core objects:
-
Campaign
-
Ad Group
-
Ad
-
Keyword
-
Label
-
Campaign Label
-
Ad Group Label
-
Ad Label
-
Keyword Label
-
Budget
-
Conversion Goal
-
Asset Group
For all reports, Hevo does not support capturing deletes.
Source Considerations
-
Report data includes both attributes and performance metrics. By default, Hevo replicates all available attributes and metrics. If Microsoft Ads does not allow certain attributes and metrics to be used together in the same report, Hevo excludes only the conflicting attributes and continues to replicate all supported metrics. Read Column Restrictions to know about the conflicting columns in reports.
-
Microsoft Ads retains report data for different lengths of time depending on the report type and its granularity. Most daily and monthly reports are available for up to 36 months, while some reports and hourly data are retained for shorter periods. For more information, see Reporting Data Retention Period.
Revision History
Refer to the following table for the list of key updates made to this page:
| Date | Release | Description of Change |
|---|---|---|
| Aug-03-2026 | NA | New document. |