iGoDigital Technology Intelligence

What is iGoDigital?

iGoDigital (now part of Salesforce Marketing Cloud) was a personalization and recommendation platform for e-commerce that provided product recommendations, behavioral targeting, and email personalization. The platform used machine learning to analyze customer behavior and deliver individualized experiences across web, email, and mobile channels. iGoDigital was acquired by ExactTarget, which was subsequently acquired by Salesforce.

The platform's core capability was predictive product recommendations. Algorithms analyzed browsing behavior, purchase history, and product attributes to suggest relevant items. Recommendations appeared on product pages, in shopping carts, and throughout the site. This personalization increased conversion rates and average order values.

Email personalization extended recommendations beyond the website. Abandoned cart emails included personalized product suggestions. Post-purchase emails recommended complementary items. Triggered emails responded to specific customer behaviors. This cross-channel personalization created cohesive customer experiences.

Today, iGoDigital's capabilities live within Salesforce Marketing Cloud as "Personalization Builder" and related features. Retailers using Salesforce's marketing platform access these recommendation and personalization capabilities as part of the broader marketing cloud suite.

Detection of iGoDigital on a website indicates historical use of advanced personalization technology. Organizations may still be running legacy iGoDigital implementations or have migrated to Salesforce Marketing Cloud. The presence suggests sophisticated e-commerce personalization capabilities.

iGoDigital Platform Features

Product Recommendations: AI-powered product suggestions. "You may also like" recommendations. "Frequently bought together" bundles. "Similar items" alternatives. Recommendation types for various placements.

Behavioral Targeting: Real-time behavior analysis. Visitor segment identification. Dynamic content based on behavior. Personalized experiences per visitor.

Email Personalization: Product recommendations in emails. Abandoned cart reminders with suggestions. Post-purchase recommendations. Dynamic email content.

Predictive Analytics: Customer purchase prediction. Churn risk identification. Next best action suggestions. Predictive customer insights.

A/B Testing: Recommendation strategy testing. Algorithm comparison. Performance optimization. Data-driven improvements.

Analytics Dashboard: Revenue attribution. Recommendation performance. Conversion tracking. ROI measurement.

Cross-Channel: Web, email, and mobile consistency. Unified customer view. Coordinated personalization. Omnichannel experience.

iGoDigital Use Cases

E-commerce Personalization: Online retailers personalize shopping experiences. Product recommendations drive discovery. Personalized homepages engage visitors. Shopping journeys optimized per customer.

Cross-Sell Optimization: Related products suggested at purchase. Complementary items recommended. Basket size increases. Cross-sell revenue grows.

Email Marketing Enhancement: Transactional emails include recommendations. Promotional emails personalized. Cart abandonment recovery improved. Email engagement increases.

Customer Retention: Personalization builds loyalty. Relevant experiences encourage returns. Customer lifetime value increases. Retention improved through relevance.

New Visitor Conversion: First-time visitors see trending items. Popular products featured. Cold-start problem addressed. New visitor conversion improved.

Mobile Commerce: Mobile app personalization. Smaller screens need focused recommendations. Mobile experience optimized. Mobile conversions increase.

iGoDigital Integration Examples

Tracking Implementation

<!-- iGoDigital tracking (legacy) -->
<script type="text/javascript">
    var _igo = _igo || [];
    _igo.push(['_setAccount', 'YOUR_ACCOUNT_ID']);
    _igo.push(['_trackPageview']);

    (function() {
        var ig = document.createElement('script');
        ig.type = 'text/javascript';
        ig.async = true;
        ig.src = '//cdn.igodigital.com/js/igo.js';
        var s = document.getElementsByTagName('script')[0];
        s.parentNode.insertBefore(ig, s);
    })();
</script>

Product View Tracking

// Track product views
_igo.push(['_trackProduct', {
    sku: 'SKU-12345',
    name: 'Product Name',
    price: 99.99,
    category: 'Electronics'
}]);

// Track add to cart
_igo.push(['_trackAddToCart', {
    sku: 'SKU-12345',
    quantity: 1,
    price: 99.99
}]);

// Track purchase
_igo.push(['_trackPurchase', {
    orderId: 'ORDER-123',
    items: [
        { sku: 'SKU-12345', quantity: 1, price: 99.99 }
    ],
    total: 99.99
}]);

Recommendation Widget

<!-- Recommendation placement -->
<div id="igo-recommendations"
     data-recommendation-type="similar"
     data-product-sku="SKU-12345"
     data-limit="4">
</div>

<!-- Cart recommendations -->
<div id="igo-cart-recommendations"
     data-recommendation-type="bought-together"
     data-cart-skus="SKU-12345,SKU-67890"
     data-limit="3">
</div>

Email Recommendations

<!-- Email recommendation block -->
<!-- Dynamic content replaced at send time -->

%%[
var @recommendations
set @recommendations = igoRecommendations("similar", @productSku, 4)
]%%

<table>
%%[ for @i = 1 to RowCount(@recommendations) do ]%%
    <tr>
        <td>
            <img src="%%=Field(Row(@recommendations, @i), 'ImageUrl')=%%" />
            <p>%%=Field(Row(@recommendations, @i), 'ProductName')=%%</p>
            <p>$%%=Field(Row(@recommendations, @i), 'Price')=%%</p>
        </td>
    </tr>
%%[ next @i ]%%
</table>

Salesforce Marketing Cloud (Current)

// Modern Salesforce Marketing Cloud Personalization
// Einstein Recommendations

// Collect behavioral data
_etmc.push(['trackPageView', {
    item: 'SKU-12345',
    category: 'Electronics',
    search: searchTerm
}]);

// Get recommendations
_etmc.push(['recommend', {
    zone: 'product-page-similar',
    productCode: 'SKU-12345',
    callback: function(recommendations) {
        renderRecommendations(recommendations);
    }
}]);

Why Teams Chose iGoDigital

AI-Powered Recommendations: Machine learning drove relevance. Algorithms improved over time. Personalization automated. Sophisticated recommendations accessible.

Cross-Channel Consistency: Web and email personalization unified. Consistent experience across touchpoints. Coordinated customer journey. Omnichannel personalization.

Email Integration: Deep email platform integration. Dynamic email content. Recommendation emails automated. Email marketing enhanced.

Revenue Impact: Measurable conversion increases. Average order value growth. Clear ROI demonstration. Business value evident.

Enterprise Scale: Built for large retailers. High traffic volumes handled. Enterprise security and compliance. Scale without performance issues.

Salesforce Ecosystem: Now part of Marketing Cloud. Integrated with Salesforce CRM. Unified customer data. Platform consolidation benefits.

Note: iGoDigital as standalone product no longer exists. Capabilities now available through Salesforce Marketing Cloud Personalization (formerly Interaction Studio) and Einstein Recommendations. Consider Salesforce Marketing Cloud for current implementations.