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Connect Microsoft Ads to Snowflake

Connect Microsoft Ads to Snowflake and export selected accounts, metrics, and dimensions to your Google BigQuery project.

Configure the historical window, destination table, and recurring schedule without maintaining a Microsoft Ads API pipeline.

Used by the world's leading companies

Export Microsoft Ads data to Snowflake

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Microsoft (Bing) Ads data in PostgreSQL

Bring all your Microsoft (Bing) Ads data into your warehouse and make it available for analytics, machine learning, and internal applications.

Data freshness

Keep your Snowflake tables up to date

Automatically sync new data from Microsoft (Bing) Ads so every dashboard, model, and report works with fresh information.

Analysis

Unify Microsoft Ads with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

Microsoft Ads metrics and dimensions available in Snowflake

Access 67 metrics and 190 dimensions from Microsoft Ads connectors including Spend, Clicks, Impressions, Conversions, Revenue, Return On Ad Spend, Cost Per Conversion, Conversion Rate, CPC, Ctr, Account Name, Campaign Name, Campaign Type, Campaign Status, Ad Group Name, Ad Group Status, Keyword Id, Device Type, Country, Network and many more...

67

Metrics availables

190

Dimensions availables

Connect Microsoft Ads to Snowflake in minutes

Move your data from Microsoft Ads to Snowflake with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your Microsoft Ads account

Authenticate your Microsoft Ads account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Client A · Connected sources
5 sources ready
Microsoft Ads Microsoft Ads 3 advertising accounts Connected
Google Ads 2 advertising accounts Connected
Google Analytics 4 1 web property Connected
HubSpot 1 CRM portal Connected
Step two

Choose the Snowflake destination

Add the account host, user, and database schema. Use a password for compatible users or a PEM private key for service accounts and stricter policies.

Destination / Snowflake Required fields
Authentication Choose one
Password
Key pair
Host Required
xy12345.eu-west-1
Username Required
catchr_service
Database Required
MARKETING.RAW
Private key passphrase Optional
••••••••••••
Private key Required for key pair
-----BEGIN ENCRYPTED PRIVATE KEY----- MIIE6TAbBgkqhkiG9w0BBQMw... -----END ENCRYPTED PRIVATE KEY-----
Step three

Keep your Snowflake tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.

Export job / PostgreSQL Example
Schema Destination
marketing_raw
Table Per job
linkedin_ads_daily
Recurring schedule Choose a cadence
Every 6 hours
Daily · 07:00
Weekly · Mon
First sync scheduledSelected fields · configured history
07:00 UTC

Review 30-day Microsoft Ads campaign delivery in SQL.

This example summarizes spend, impressions, clicks, and click-through rate by campaign.

Microsoft (Bing) Ads.sql
BigQuery SQL
30-day window
SELECT
  campaign_name,
  SUM(spend) AS spend,
  SUM(impressions) AS impressions,
  SUM(clicks) AS clicks,
  SAFE_DIVIDE(
    SUM(clicks),
    SUM(impressions)
  ) AS ctr
FROM `your_project.marketing_raw.bing_ads_microsoft_ads_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY campaign_name
ORDER BY spend DESC;
Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Choose what to load into Snowflake.

Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.

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Before you schedule the job.

Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.

How does a Microsoft Ads-to-Snowflake workflow work in Catchr?

Connect Microsoft Ads and add Snowflake as the stored destination. Create a datastream, then save a job that sends the required records to the "advertisers" table.

Can I choose the Microsoft Ads columns loaded into Snowflake?

Select concrete Microsoft Ads fields such as Absolute Top Impression Rate Percent, Absolute Top Impression Share Lost To Budget Percent, Absolute Top Impression Share Lost To Rank Percent, and Account Id. You can rename the chosen columns, preview the result, and write them to Snowflake tables such as accounts, advertisers, and campaigns.

Can I choose both history and frequency for a Microsoft Ads Snowflake job?

Choose how far back the first Microsoft Ads load should go and how much recent data each "advertisers" run should refresh. Catchr splits large backfills into smaller intervals.

Can Catchr refresh only the recent Microsoft Ads rows in Snowflake?

For recurring Microsoft Ads loads, assign an eligible partition field to "advertisers". Otherwise Catchr cannot match the refresh window and will append the returned records.

What business questions can Microsoft Ads data answer in Snowflake?

With Microsoft Ads data, a Snowflake query can summarize spend, impressions, clicks, and click-through rate by campaign. Join Absolute Top Impression Rate Percent and Absolute Top Impression Share Lost To Budget Percent with shared account or date keys to build a reusable performance model in Snowflake.

Does my Snowflake database need to exist before I connect it?

Yes. Connect an existing Snowflake database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Snowflake database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

Still have a question ? 

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