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How to Connect Pinterest to Tableau

Cody Schneider••9 min read

Bringing your Pinterest data into Tableau opens up a new level of analysis that Pinterest's built-in analytics simply can't match. This article will show you how to connect the two, exploring methods ranging from simple manual exports to fully automated solutions. We'll walk through the exact steps for each approach so you can start building powerful, custom Pinterest dashboards.

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Why Connect Pinterest to Tableau?

You might be wondering if it's worth the effort. Pinterest provides its own analytics dashboard, which is great for a quick overview. But when you need to dig deeper, tell a bigger story, or prove ROI, pulling that data into a robust BI tool like Tableau is a game-changer. Here's why:

  • Deeper Performance Insights: Move beyond surface-level metrics. In Tableau, you can create calculated fields to find your true click-through rate (CTR) or engagement rate per impression, and see how these metrics trend over time for specific pins or boards.
  • Custom, Interactive Dashboards: Build visualizations that answer your specific business questions. Instead of being limited by Pinterest's native reports, you can design dashboards that monitor top-performing pins, attribute outbound clicks to website traffic goals, and track campaign performance in real time.
  • Holistic Marketing View: Your Pinterest activity doesn't happen in a vacuum. By importing your data into Tableau, you can blend it with data from other sources like Google Analytics, your CRM, or your e-commerce platform (like Shopify). This lets you see the full customer journey, from a pin click to a final purchase.
  • Long-Term Trend Analysis: A common limitation of many platform-specific analytics tools is a cap on historical data. By piping your Pinterest data into Tableau, you create a historical record, allowing you to analyze seasonality and track performance trends year-over-year without losing access to older data.

Understanding the Challenge: No Direct Connector

Before jumping into the "how," it's important to know that as of now, Tableau does not have a native, out-of-the-box connector for Pinterest. Unlike Google Analytics or Salesforce, you can't simply find "Pinterest" in the data source menu and log in.

This means we need a way to act as a bridge between the two platforms. The data exists thanks to the Pinterest API (Application Programming Interface), but we need a method to extract that data and load it into a format Tableau understands. The following methods all solve this problem, just with different levels of effort, cost, and automation.

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Method 1: The Manual Approach with CSV Exports

This is the quickest and easiest way to get started, requiring no special tools or technical skills. It's perfect if you need to do a one-off analysis or are just dipping your toes into visualizing your Pinterest data. The primary drawback is that it's completely manual and not sustainable for regular reporting.

Step 1: Export Your Data from Pinterest Analytics

First, you need to grab your data from the source. Pinterest makes this fairly straightforward.

  1. Log in to your Pinterest business account.
  2. Click on Analytics in the top navigation bar and select Overview.
  3. On the analytics dashboard, adjust filters for the date range, content type (e.g., your pins vs all pins), and claimed accounts you want to analyze.
  4. Find the Export data button, usually near the top right of the dashboard.
  5. Choose your metrics (you can pull an overview or performance data for pins, boards, etc.) and select CSV as the format.
  6. Pinterest will generate the file and download it to your computer.

This CSV file will contain key metrics like Impressions, Engagements, Pin Clicks, Saves, and Outbound Clicks for the content and date range you selected.

Step 2: Connect the CSV File to Tableau

With your data in hand, it’s time to load it into Tableau.

  1. Open Tableau Desktop.
  2. On the main connection pane on the left, under "To a File," click on Text file.
  3. Navigate to where you saved your downloaded CSV file from Pinterest and open it.
  4. Tableau will automatically load the data and show you a preview of the columns and rows on the Data Source tab. It's a good idea to quickly review the data types Tableau has assigned to each column (e.g., Date, Number, String) and adjust them if needed.
  5. Once you're happy with the data preview, click on a worksheet tab at the bottom (e.g., "Sheet 1") to start building your visualizations!

Pros & Cons of This Method

  • Pros: Completely free, very easy to execute, and perfect for getting started immediately.
  • Cons: Highly manual and time-consuming for regular reporting, data is static and becomes outdated instantly, and you're at risk of copy-paste errors.
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Method 2: Using a Third-Party Connector (The Automated Way)

For anyone serious about ongoing Pinterest analysis, the manual method becomes a chore fast. This is where third-party data connectors come in. These are paid services built specifically to pull data from marketing platforms like Pinterest and push it directly into BI tools like Tableau.

Tools like Supermetrics, Funnel.io, or ETL (Extract, Transform, Load) platforms like Fivetran handle all the complex API work behind the scenes. They connect to Pinterest on one end and offer a compatible data source for Tableau on the other, often through something called a Web Data Connector (WDC).

How it Generally Works:

While the exact steps vary by provider, the workflow is fundamentally the same:

  1. Sign up and Connect: Choose a connector service and create an account. In their interface, you'll add Pinterest as a data source and securely log in to authorize access.
  2. Configure Your Data Query: You’ll select the specific metrics and dimensions you want to pull. This is a huge advantage over the manual CSV, as you can often access richer data, such as campaign-specific metrics from your Pinterest Ads account.
  3. Set a Refresh Schedule: Schedule how often you want the data updated - every hour, every day, etc. The connector will automatically fetch fresh data on this schedule.
  4. Get Your Connection Link: The tool will provide you with a unique URL. This is the endpoint for Tableau’s Web Data Connector.
  5. Connect from Tableau: In Tableau Desktop, under the "To a Server" connections menu, select Web Data Connector. Paste the URL from your third-party tool, and Tableau will load the data, which will now stay fresh automatically.

Pros & Cons of This Method

  • Pros: Fully automated, requires no manual updates, provides reliable and clean data, offers access to more granular data fields from the API.
  • Cons: Requires a paid subscription to the third-party service, and there can be a small initial setup process to configure your data queries.

Method 3: The Workaround Using Google Sheets as an Intermediary

This method splits the difference between the first two. It’s more automated than manual CSVs and can be cheaper than a dedicated third-party connector. The idea is to use an automation platform like Zapier or Make.com to ferry data from Pinterest to a Google Sheet, and then connect Tableau to that sheet.

Step 1: Set up the Automation Bridge

  1. Go to Zapier and create a new "Zap."
  2. For the Trigger, search for the Pinterest app. Depending on what Zapier supports at the moment, your trigger might be "New Pin" or an API-driven event. (Note: For pulling aggregate analytics data, you may need a scheduled Zap that uses a "Webhook" action to make a custom call to the Pinterest API).
  3. For the Action, select Google Sheets and choose the "Create Spreadsheet Row" action.
  4. Map the data fields from the Pinterest trigger to the corresponding columns in your Google Sheet. For instance, link "Pin Clicks" from Pinterest to the "Clicks" column in your sheet.
  5. Turn on your Zap. Now, as the trigger event happens, Zapier will automatically add new rows with fresh data to your Google Sheet.

Step 2: Connect Google Sheets to Tableau

  1. In Tableau Desktop, under "To a Server," select Google Sheets.
  2. A browser window will pop up asking you to sign in to your Google Account and grant Tableau access.
  3. After authenticating, Tableau will display a list of all the Google Sheets in your account. Select the sheet you set up with Zapier.
  4. Click Connect, and your data will load into Tableau’s Data Source tab, just like any other source.

The beauty of this connection is that it's live. When Zapier adds new data to the sheet, you can simply press "Refresh" in Tableau to see the latest numbers.

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Pros & Cons of This Method

  • Pros: More automated than manual importing, often more budget-friendly by using freemium tiers of automation tools.
  • Cons: Dependent on the "triggers" and "actions" available in the automation tool, can hit task limits, and may struggle to pull large amounts of historical data all at once.

Getting Started with Your Pinterest Dashboard

Once your data is flowing into Tableau, the fun begins. The goal is to turn raw numbers into actionable insights. Here are a few ideas to get you started:

  • Calculate Must-Have KPIs: Create calculated fields for key metrics not readily available in the raw data export, such as:
  • Build Essential Visualizations:

Final Thoughts

Getting your Pinterest data into Tableau is a powerful step towards making smarter, data-driven marketing decisions. While there isn't a direct connection, you can choose the method that best fits your budget and technical comfort - from simple CSV uploads for quick analyses to fully automated connector tools for robust, ongoing reporting.

Building these connections and manually putting together visualizations can still feel like a significant effort. At Graphed, we've designed our platform to eliminate this friction. We allow you to connect all your marketing and sales data sources with a few clicks and build entire dashboards in real-time just by asking for what you want in simple English. Instead of grappling with connectors and chart builders, you can get from a question to a full, live dashboard in under a minute with Graphed.

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