Dev Guide: Building a Custom Bot Detection Dashboard with the AdPurity API and Looker Studio

For the data-driven growth team, the standard "Blocked" vs. "Clean" chart is only the beginning. To truly optimize a high-scale ad account in 2026, you need to correlate fraud data with your actual business metrics—LTV, trial-to-paid conversion rates, and sales cycle length.

While the AdPurity dashboard is powerful, building a Custom Bot Detection Dashboard in Google Looker Studio allows you to blend your traffic security data with Google Analytics 4 (GA4), your CRM, and your raw ad spend. This creates a single source of truth that helps you prove the exact ROI of your fraud prevention efforts.

The Architecture: How the Data Flows

To build this dashboard, we use a lightweight server-side bridge to pull data from the AdPurity API and push it into a BigQuery table or a Google Sheet, which then serves as the data source for Looker Studio.

The Data Stack

1. AdPurity API: Provides real-time logs of blocked IPs, bot types (e.g., Headless Browser, Data Center, SIVT), and associated Click IDs.
2. Middleware (Google Apps Script or Python): A small script that polls the AdPurity API endpoints every hour.
3. BigQuery: Acts as your long-term data warehouse for historical fraud analysis.
4. Looker Studio: The visualization layer where you build your "Security Cockpit."

Step 1: Connecting to the AdPurity API

First, you need to grab your API Key from the AdPurity settings panel. We will use the GET /v1/traffic-logs endpoint to retrieve our data.

// Example: Basic API Fetch (Google Apps Script)
function fetchAdPurityData() {
  const apiKey = 'YOUR_API_KEY';
  const url = 'https://api.adpurity.com/v1/traffic-logs?limit=1000';
  const options = {
    'method' : 'get',
    'headers': { 'Authorization': 'Bearer ' + apiKey }
  };
  const response = UrlFetchApp.fetch(url, options);
  const data = JSON.parse(response.getContentText());
  // Push data to your destination (Sheets or BigQuery)
}

Step 2: Designing Your "Security Cockpit" in Looker Studio

Once your data is flowing into Looker Studio, focus on creating high-impact visualizations that drive decision-making.

Key Visualization 1: The "Bot vs. Human" Funnel

Create a funnel chart that shows the drop-off from Total Clicks to Verified Humans to Qualified Leads. This highlights exactly how much of your "top-of-funnel" is actually synthetic noise.

Key Visualization 2: Fraud by Geo & Data Center

Use a Geo-Map to plot where your blocked traffic originates. If you see a massive bubble in a region where you don't sell, you can immediately add that location to your Google Ads exclusion list.

Key Visualization 3: The "SIVT" Breakdown

Not all fraud is equal. Use a pie chart to categorize the types of Sophisticated Invalid Traffic (SIVT) AdPurity is catching.

• Headless Browsers: Indicates automated scrapers.
• Residential Proxies: Indicates sophisticated click farms.
• User-Agent Spoofing: Indicates mobile-emulated fraud.

Step 3: Blending Data for "True ROAS"

The real magic happens when you blend your AdPurity data with your Google Ads spend.

By joining these datasets on the Campaign Name or Ad Group ID, you can create a calculated field for "Clean CPA" ($Spend / Verified Humans$). This metric is much more accurate than the standard CPA provided by ad platforms, as it removes the "Ghost Leads" that would never have converted.

Advanced Feature: Real-Time Alerting with Looker Studio

In 2026, you can't wait for a weekly report. Use Looker Studio’s "Scheduled Emails" or a third-party connector to send a Slack alert if the Fraud Rate for a specific campaign exceeds 15% in a single hour.

This acts as a "Circuit Breaker" for your budget, allowing you to automate bot detection and pause failing ad sets before they burn through your daily limit.

Why Custom Dashboards Beat Native Reporting

1. Cross-Platform Visibility: See your TikTok bot stats right next to your Meta and Google data.
2. Stakeholder Transparency: Easily share a read-only link with your CMO or clients, showing them exactly how many "Ghost Leads" you have filtered out of the CRM.
3. Historical Benchmarking: Over time, you can see if your fraud rates are increasing as you scale, helping you adjust your security and privacy best practices accordingly.

Troubleshooting Your API Connection

If you see discrepancies between your Looker Studio dashboard and the AdPurity UI, check for these common issues:

• Timezone Mismatch: Ensure both AdPurity and BigQuery are using the same UTC offset.
• Sampling: Make sure your API call is retrieving all records, not just a sampled subset.
• Caching: Looker Studio often caches data for 15 minutes. Set your data freshness to "Every Hour" for more responsive reporting.

Take Your Growth Data to the Next Level

Building your own dashboard isn't just about security; it is about taking full ownership of your marketing data. By piping AdPurity insights into Looker Studio, you turn "ad fraud" from a mysterious tax into a manageable, optimized KPI.

Explore the AdPurity API documentation today and start building your custom security cockpit. Stop guessing about your traffic quality and start seeing the truth in real-time.