TL;DR: Geo-Pixel adds three capabilities to EdgeTag: region-based pixel splitting so local teams control their own audiences, no-code offline purchase attribution via Shopify POS, and real-time currency conversion for unified global reporting. All configured server-side at the edge with no engineering work required.

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D2C companies are evolving. They’re going global with eCommerce, but also local with retail expansion. To keep up, marketing infrastructure needs to handle multi-region campaigns, offline attribution, and unified reporting.

That’s why we’re excited to announce Geo-Pixel: A new Blotout EdgeTag capability with three powerful features:

  1. GEO-Based Pixels: Split audiences by region for local team control
  2. Offline C-API Purchases: Attribute offline sales automatically with no-code pipelines
  3. Currency Conversion: Standardize reporting across currencies

Why Geo-Pixel? The New Reality for D2C Brands

  • Going Global: Brands need to scale across multiple regions.
  • Geo-Pixel: Regional teams need their own channels and insights.
  • Geo-Pixel: Retail stores are becoming core revenue drivers.

Geo-Pixel bridges these realities with a flexible, server-side infrastructure powered by Edge-hosted smart placement via Cloudflare.

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Feature 1: GEO-Based Pixels

With Geo-Pixel, you can split your site traffic by region and allocate it to local marketing accounts.

This means:

  • Local teams control their own audiences
  • Regional attribution remains accurate
  • Consumers’ data stays within their geography for compliance + speed

Setup Steps:

  1. Create a new Meta channel
  2. Select region (country, continent, or combination)
  3. Configure destination settings
  4. Done

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Feature 2: Offline C-API Purchases

Offline attribution is a huge gap for retail-heavy D2C brands. With Geo-Pixel, Shopify customers can now automatically attribute offline sales.

We use an Airflow-managed pipeline to process POS data—no dev work required.

Setup Steps:

  1. Open configuration tool
  2. Select CRM
  3. Choose which stores are online vs. offline
  4. Done

Now, offline purchases flow seamlessly into your attribution models.

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Feature 3: Currency Conversion

Global brands struggle with multi-currency reporting. Geo-Pixel solves this with real-time or static currency conversion, ensuring unified financial views.

Setup Steps:

  1. Schedule a meeting with your Account Manager
  2. Confirm your desired currency transform
  3. AM updates configuration
  4. Done ✔️

This way, marketing ROI is reported consistently across all regions.

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How It Works: Fast Setup in EdgeTag

Because Blotout EdgeTag runs server-side at the edge:

  • Data is isolated by region automatically
  • Configuration is no-code, handled in the dashboard
  • Teams can move from setup to live use in minutes

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Conclusion: Scaling Global D2C with Local Precision

With Geo-Pixel, Blotout EdgeTag gives D2C brands the tools to:

  • Localize marketing across regions
  • Attribute offline sales with no extra engineering
  • Normalize reporting across currencies

As brands continue to go global + local, Geo-Pixel makes scaling easier, faster, and smarter.
Ready to set up your first Geo-Pixel? ‍

Reach out to us today →

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FAQs

1) Can I use different ad accounts per region?

YES! Each pixel can be split and mapped to a local team’s marketing accounts.

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2) How does offline attribution work with non-Shopify stores?

Currently, we support Shopify POS. Additional platforms are on the roadmap.

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3) Is currency conversion per event or per report?

You can choose—either dynamic (per event) or static (all reporting in one currency).