Integrating Adobe Analytics (AA) with OpenCart can be a powerful way to unlock deep behavioral insights, including cart flow, product engagement, and conversion attribution. This guide provides two methods to implement Adobe Analytics in OpenCart:

1. Using Google Tag Manager (GTM)
2. Using Direct Code Injection (fallback or parallel setup)

We’ll cover tracking essentials: page views, product views, cart actions, checkout events, and purchases—along with eVars, props, and events.

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🧰 Prerequisites

Requirement	Purpose
OpenCart 3.x or 4.x	Your eCommerce platform
Adobe Analytics Suite	With Report Suite & RSID
GTM Installed	For scalable tag-based deployment
Adobe Launch (optional)	Tag management by Adobe

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📦 Step 1: Define Data Layer in OpenCart

Design a clean dataLayer so GTM or direct scripts can use structured data.

Example – Add this to product.twig:

<script>
window.dataLayer = window.dataLayer || [];
dataLayer.push({
  event: 'view_item',
  ecommerce: {
    item_id: '{{ product_id }}',
    item_name: '{{ heading_title }}',
    item_category: '{{ category }}',
    price: {{ price }}
  },
  user: {
    logged_in: {{ customer_id ? 'true' : 'false' }},
    customer_id: '{{ customer_id }}'
  },
  page: {
    page_type: 'product',
    page_title: '{{ heading_title }}'
  }
});
</script>

Repeat similarly for:

• Cart page: add_to_cart
• Checkout: begin_checkout
• Success page: purchase

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📥 Step 2: Install Adobe Analytics via GTM

A. Create Adobe Analytics Tag in GTM

1. Go to Tags > New
2. Choose Custom HTML
3. Insert your AppMeasurement.js (you can also host it externally)

<script src="https://assets.adobedtm.com/YOUR_APPMEASUREMENT.js"></script>
<script>
var s = s_gi("YOUR_RSID"); // Replace with Report Suite ID
s.pageName = '{{DL - page.page_title}}';
s.channel = 'OpenCart';
s.prop1 = '{{DL - page.page_type}}';
s.eVar1 = '{{DL - ecommerce.item_name}}';

if ('{{DL - event}}' === 'view_item') {
  s.events = 'prodView';
}

s.t(); // Send tracking call
</script>

4. Set Trigger: Page View or Event (e.g., view_item)

Optional: Use Adobe Launch container in GTM instead

• Add <script src="https://assets.adobedtm.com/launch-XYZ.min.js"></script> in GTM tag
• Use Adobe Rules inside Launch to define triggers and data mapping

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🔌 Step 3: Direct Code Injection (Without GTM)

For environments without GTM, insert tracking code directly in Twig templates.

A. Product Page (product.twig)

<script src="https://assets.adobedtm.com/YOUR_APPMEASUREMENT.js"></script>
<script>
var s = s_gi("YOUR_RSID");
s.pageName = "{{ heading_title }}";
s.channel = "product";
s.eVar1 = "{{ product_id }}";
s.events = "prodView";
s.t();
</script>

B. Order Confirmation (success.twig)

<script>
var s = s_gi("YOUR_RSID");
s.pageName = "Order Confirmation";
s.purchaseID = "{{ order_id }}";
s.events = "purchase";
s.products = "{{ product_id }};{{ price }};1";
s.eVar10 = "{{ email | sha256 }}"; // Optional: hashed
s.t();
</script>

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📋 Step 4: Recommended eVars, Props, and Events

Variable	Description
eVar1	Product ID
eVar10	Hashed Email (optional)
prop1	Page Type
prop5	Cart Action
events	prodView, scAdd, purchase

You must pre-configure these in your Adobe Admin console.

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🔐 Step 5: Consent-Aware Tag Firing (GTM)

If using a Consent Management Platform (CMP), wrap Adobe firing inside a conditional block:

<script>
if (window.Cookiebot && Cookiebot.consents.given.marketing) {
  var s = s_gi("YOUR_RSID");
  s.pageName = 'Consent-Based Page';
  s.events = 'eventX';
  s.t();
}
</script>

Or configure GTM Tag Consent Settings for "ad_storage" and "analytics_storage".

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🧪 Step 6: Debugging Tools

Tool	Use Case
Adobe Debugger Chrome Extension	See real-time beacon activity
Network Tab	Look for requests to b/ss/ URLs
Adobe Experience Platform Debugger	End-to-end Launch debugging

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🧠 Pro Tips

• Use product string format in s.products:
  ";productID;price;quantity;eVar;event"
• Consider using s.linkTrackVars and s.linkTrackEvents for click tracking
• Use s.clearVars() to prevent data leakage between pages
• Hash PII client-side before sending (e.g., email, phone)

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📈 Strategic Benefits

• Granular visibility into product-level interactions
• Marketing channel attribution via eVars
• Cart abandonment and checkout funnel insight
• Future-ready for Adobe CJA integration

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