Supermetrics for BigQuery
Connect Yandex Direct to BigQuery — Russian Search Advertising at Warehouse Scale
Warehouse your Yandex Direct search and display campaigns in BigQuery. Analyze keyword performance, ad positions, and conversions for Russian-market PPC.
Why Connect Yandex Direct to BigQuery?
Warehouse your Yandex Direct data in BigQuery for unlimited historical analysis and cross-source SQL.
Position and cost analysis
Track average click and impression positions alongside CPC trends over time for bid optimization.
Search vs network performance
Compare search and display network performance by campaign for budget allocation decisions.
Cross-search engine comparison
JOIN Yandex Direct with Google Ads for unified search advertising analysis across markets.
How to Connect Yandex Direct to BigQuery
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and BigQuery as your destination.
- 2
Authorize and configure
Connect your data source account, choose your BigQuery project and dataset, and select the data you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your data begins flowing into BigQuery automatically.
Yandex Direct Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Yandex Direct data looks like in BigQuery.
Data Freshness & Scheduling
Yandex Direct data typically available within 6-12 hours. Daily transfers recommended.
What Yandex Direct Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full Yandex Direct reporting data — metrics and dimensions you already know from the Yandex Direct interface.
Key Metrics
- Impressions
- Clicks
- Cost
- CTR
- CPC
- Avg. click position
- Avg. impression position
- Conversions
- Conversion rate
- Cost per conversion
- Revenue
- Bounce rate
Key Dimensions
- Campaign name
- Campaign type
- Ad group name
- Ad network type
- Targeting criteria
- Keyword match type
- User device type
- User region name
- Gender
- Age
Resources & Guides
Why Supermetrics for BigQuery?
Purpose-built for marketing data since 2009. 200,000+ companies trust Supermetrics to move 15% of global ad spend into reporting and analytics destinations.
No Vendor Lock-In
Your data lands in BigQuery — infrastructure you own and control. Use any BI tool, any transformation layer, any ML platform. If you ever switch providers, your data and dashboards stay with you.
170+ Marketing Data Sources
Purpose-built for marketing data — not a generic ETL tool. Supermetrics covers 99% of metrics and dimensions from each source, with pre-structured tables ready for analysis. No transformation layer required.
Managed Schema
Supermetrics creates and maintains your Yandex Direct tables automatically. Schema changes from the source API are handled for you — no broken pipelines, no manual migrations.
Your Data, Your Infrastructure
Supermetrics moves data directly to your destination — nothing is stored on our servers. SOC 2 Type II certified, GDPR and CCPA compliant. Your data stays in infrastructure you control, simplifying privacy and compliance reviews.
Flat-Rate, Predictable Pricing
Fixed annual pricing regardless of data volume — no per-row charges, no surprise bills during peak campaign seasons. Transfer as much Yandex Direct data as you need without worrying about cost spikes.
No Data Limits
Query any date range, any number of campaigns, any level of granularity. No row limits, no sampling, no restrictions on the data you can pull.
Frequently Asked Questions
How do I connect Yandex Direct to BigQuery with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select Yandex Direct as the source and BigQuery as the destination. Authorize your Yandex Direct account, choose your BigQuery project and dataset, pick the fields you want, set a schedule, and start the transfer. No code or SQL knowledge required — Supermetrics creates and manages the tables automatically.
Is my Yandex Direct data secure when transferring to BigQuery?
Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Yandex Direct credentials are encrypted at rest and in transit. Data flows directly from the Yandex Direct API to your own BigQuery project — Supermetrics does not store your marketing data on its servers. Your BigQuery IAM policies control who can access the tables.
Can I combine Yandex Direct data with other sources in BigQuery?
That is one of the biggest advantages of warehousing your data. Once Yandex Direct lands in BigQuery, you can JOIN it with any other table — GA4 sessions, CRM deals, revenue data, other ad platforms — using standard SQL. Supermetrics supports 170+ data sources, and they all land in the same BigQuery project for easy cross-source analysis.
What Yandex Direct metrics and dimensions are available in BigQuery?
All standard Yandex Direct reporting fields are available, including Impressions, Clicks, Cost, CTR, CPC, Avg. click position, and many more. You select exactly which metrics and dimensions to transfer during setup, and you can add or remove fields at any time without losing historical data.
How fresh is Yandex Direct data in BigQuery?
Data freshness depends on your transfer schedule. You can run transfers hourly, daily, or weekly. Most users schedule daily transfers so yesterday's complete data is ready each morning. Supermetrics uses incremental loading — only new and updated records are transferred — so even large accounts refresh quickly.
Does it include ad position data?
Yes. Average click position and average impression position are available as metrics.
Can I segment by demographics?
Yes. Gender, age, and user region are available as dimensions for audience-level analysis.
Also Connect to BigQuery
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