Export Instacart Ads to BigQuery

Setup guide

How to Connect Instacart to BigQuery

Connect your Instacart account, set up BigQuery, and run your first report.

Connect Instacart Ads to Adzviser

Connect your Instacart Ads account in an Adzviser workspace and select the advertiser you want to analyze.

Set up BigQuery

Create a BigQuery pipeline in Adzviser. Connect your Google Cloud project with a service account and select a dataset prefix. BigQuery setup guide →

Run your first report

Select Spend, Impressions, Clicks and a date range. Export the data to BigQuery for your reporting workflow.

Why this connection

Why Export Instacart Ads to BigQuery?

Keep Instacart reporting data in your own BigQuery project for custom analysis and downstream reporting.

What you can do

Choose which data to export

Export ad spend, attributed sales, and new-to-brand performance, with the account and reporting detail your downstream tools need.

Query data in your own project

Use SQL to analyze the exported tables alongside the data already in your Google Cloud project.

Build cross-channel reports

Combine Instacart exports with your other advertising or sales data in your reporting system.

AUTOMATED EXPORTS

Export Instacart Ads data to BigQuery tables

Export reporting data into BigQuery tables for SQL analysis and dashboards. Join it with your sales or CRM data in your own Google Cloud project.

Choose the columns to export

Export Spend, Impressions, Clicks, Attributed sales linear, NTB attributed sales linear by Campaign ID, Campaign name, Ad group ID, Ad format. Use daily granularity for time-series analysis.

Query data from multiple sources

Join reporting tables to your product or campaign lookups using stable IDs, then query the combined data in SQL.

Keep the table current

Run a backfill and set a schedule. Matching reporting dates are replaced on subsequent exports, so use separate dataset prefixes for independent reports.

Field availability depends on ad format. Keep linear and last-touch attribution separate when comparing sales or ROAS.

Reporting coverage

Instacart reporting coverage for BigQuery

48supported metrics

54supported breakdowns

Complete field catalogBrowse all metrics & breakdowns for Instacart

Trusted by Agencies, Freelancers, and Founders

See how data teams are using Adzviser to analyze their Instacart data in BigQuery.

Ryan Whiteside

Adzviser is the Supermetrics replacement we've been looking for. Adzviser delivers the same essential functionality at a much better price point, with far superior customer support. The added bonus of a ChatGPT connector allows for seamless data analysis in a way that enhances workflow efficiency.

Digital Marketing DirectorTwo Wheels Marketing

Jared Laidlaw

I appreciate Adzviser's per-client workspace setup, which simplifies organizing data sources compared to setting them up via channels. The customer support is excellent and responsive, addressing my issues swiftly. The pricing is competitive and scales nicely with business growth, which is crucial for me.

Managing DirectorOrchard Financial Marketing

Adam Orris

It is so simple to create your integration with all the supplied connectors. I also love the ability to send data to Gsheets and Looker for automation. The best part is being able to chat with your data inside of ChatGPT's. Adzviser really helps you along the way as well. The customer support is superb.

Director of Data and AnalyticsDisruptive Advertising

Saar Bell

Adzviser completely transformed the way I handle marketing data! Connecting all my sources to Google Sheets, Looker, and ChatGPT was unbelievably simple — no endless setup or technical headaches. Everything runs fast, accurate, and at a fraction of the cost compared to other tools I’ve tried. The customer support is extremely personal and responsive.

Company OwnerBellaPOINT

Powering data-driven decisions for 15K+ companies across 100 countries

Instacart to BigQuery Integration FAQs

Spend, impressions, clicks, attributed sales, and new-to-brand performance, with campaign, ad-group, or product detail. Sponsored Product, Display, and Video reports are supported; available fields vary by format. View supported Instacart Ads fields →

Connect your Instacart Ads account in an Adzviser workspace and select the advertiser you want to analyze. Create a BigQuery pipeline in Adzviser. Connect your Google Cloud project with a service account and select a dataset prefix. BigQuery setup guide →

Yes. Choose Schedule in your Adzviser pipeline, set the frequency and date range for each run, and save the schedule. Adzviser then delivers the selected data to your BigQuery tables automatically.

Yes. Choose Run Once and select the date range you need. You can export data from before you connected Adzviser, as far back as your source account makes it available.

Yes. Export your other connected sources through separate Adzviser pipelines, then use SQL to combine the tables with sales, CRM, or other data in your project. Use the results in your BI dashboards.

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