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Connect Pinterest Ads to BigQuery

Connect Pinterest Ads to BigQuery with Coupler.io to unlock SQL-based advertising analytics at scale. Warehouse campaign, ad group, and pin-level performance data alongside your other channels. Automate refreshes on your own schedule, no coding required.

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What data you can export from Pinterest Ads?

Categories:
  • Campaign performance
  • Ad group performance
  • Ad (promoted pin) performance
  • Ad account performance
  • Product group performance
  • Product item performance
  • Keywords performance
  • Ad account targeting analysis
  • Campaign targeting analysis
  • Ad group targeting analysis
  • Ad (promoted pin) targeting analysis
  • Product group targeting analysis
  • List of ad accounts
  • List of campaigns
  • List of ad groups
  • List of ads
  • List of keywords

All-in-one tool for Pinterest Ads data exports and analytics

Pull Pinterest Ads campaign metrics into BigQuery alongside data from Meta, Google Ads, and other paid channels. Unify spend and conversion records in one warehouse to enable multi-platform attribution and holistic advertising analysis.

Collect data from Pinterest Ads and enrich it with information from other sources image

Shape Pinterest Ads exports with built-in transformations before they reach BigQuery. Apply filters, rename columns, and aggregate metrics so your warehouse tables arrive clean and ready for SQL queries without additional processing.

Organize raw Pinterest Ads data in the form of a ready-to-use data set image

Keep BigQuery tables populated with the latest Pinterest Ads results through scheduled data loads. Choose monthly, daily, hourly, 30-minute, or 15-minute refresh intervals to match reporting cadence and ensure analysts always work with up-to-date figures.

Automate data refresh on a custom schedule image

Pair your Pinterest Ads data with Coupler AI integrations to ask plain-language questions about ad performance. Get instant answers on spending efficiency and audience engagement without writing a single SQL statement.

Connect Pinterest Ads data to AI to query and analyze data using natural language conversations image
Collect data from Pinterest Ads and enrich it with information from other sources image
Organize raw Pinterest Ads data in the form of a ready-to-use data set image
Automate data refresh on a custom schedule image
Connect Pinterest Ads data to AI to query and analyze data using natural language conversations image

Why connect Pinterest Ads to BigQuery - real life cases

Multi-channel paid media warehouse icon

Multi-channel paid media warehouse

Centralize Pinterest Ads data in BigQuery alongside other advertising platforms to create a unified paid media warehouse. Run cross-channel SQL queries comparing cost-per-acquisition and conversion rates to identify which platforms deliver the highest return on ad spend.
Audience segmentation and behavioral analysis icon

Audience segmentation and behavioral analysis

Store audience-level Pinterest Ads reports in BigQuery to segment users by demographics, interests, and engagement patterns at scale. Apply clustering techniques and cohort analysis to discover high-value audience segments and inform targeting decisions with data-backed precision.
Pin creative performance benchmarking icon

Pin creative performance benchmarking

Load ad-level reports into BigQuery to build a historical archive of pin creative performance data. Compare standard, video, and carousel pin formats over time using SQL window functions to determine which creative approaches generate the strongest engagement and conversion metrics.
Budget optimization through predictive modeling icon

Budget optimization through predictive modeling

Warehouse historical campaign spend and outcome data in BigQuery to power forecasting models. Use BigQuery ML to predict optimal budget allocation across campaigns and ad groups based on historical cost and conversion patterns.

How to connect Pinterest Ads to BigQuery

Step 1. Connect to your Pinterest Ads account and select the data to export
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Step 2. Organize data using transformation options such as filters, column management, aggregation, etc.
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Step 3. Connect your BigQuery project and specify where to load your data
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Step 4. Schedule data refresh to automate data flow from Pinterest Ads to BigQuery
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Automate data exports with the no-code Pinterest Ads BigQuery integration

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Quick start with PPC dashboard templates

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Pinterest Ads monthly dashboard
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Talk to AI about your Pinterest Ads data

Ad performance questions can skip the pivot table entirely. Coupler AI integrations let you ask about your Pinterest Ads data in plain language and get an answer pulled straight from the same warehouse your BigQuery reports use.

Examples of questions you can ask about Pinterest Ads data:
  • "Which ad groups had the lowest cost per conversion last month and what audience did they target?"
  • "Compare carousel versus standard pin performance across our top campaigns"
  • "Are there audience segments where spend is rising but conversions are flat?"
  • "Summarize creative performance trends for our top-performing pin formats this quarter"
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Customer success stories

At Coupler.io, our mission is simple: to help our customers succeed by unlocking the full potential of their data. Check out how using Coupler.io has helped businesses like yours scale and achieve better ROI.

Fable saved $60k+/year on data analytics
Pineapple Consulting Firm onboards a client dashboard in 1 hour
Productive cut 20+ hours of development time
ULTRA\OPS cut reporting build time by 90%
View customer success stories

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Frequently asked questions
You connect Pinterest Ads to BigQuery in Coupler.io in three steps: authorize Pinterest Ads, choose the data you need, and set a schedule. Coupler.io creates the tables on the first run and keeps them updated automatically, with no code.
No, Coupler.io is the BigQuery integration built for business teams, not data teams, so you connect Pinterest Ads to BigQuery without SQL, Python, or a data engineer.
Pinterest Ads limits how long it keeps your reporting, but BigQuery doesn't. Coupler.io writes Pinterest Ads data to BigQuery on a schedule so your history accumulates and stays yours after the platform's own window rolls off.
You choose the schedule. Coupler.io refreshes Pinterest Ads data in BigQuery automatically, as often as your plan allows.
Yes, Coupler.io can blend Pinterest Ads with your other platforms before the data lands. Compare Pinterest's cost per result against your other channels and decide where the next budget goes.
BigQuery is a destination on every Coupler.io plan, not a paid add-on and not locked behind a higher tier.
The simplest way to get Pinterest Ads into BigQuery is a no-code connector: connect the account, pick your fields, set a schedule, and BigQuery fills itself. Coupler.io does this for Pinterest Ads plus 400+ other sources.
Yes, Coupler.io is SOC 2 Type II certified and writes directly into your own BigQuery project, so your data stays in your warehouse.
Pinterest Ads data in BigQuery becomes the basis for deciding which campaigns to scale and which to cut, how much performance history to keep past the platform's own reporting window, and how Pinterest compares against your other ad platforms.

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