Marketing Cloud Personalization
Marketing Cloud Personalization is the Salesforce real-time personalization product that captures customer behavior across web, mobile app, email, call center, and physical store interactions, builds a unified visitor profile, and decides what content or offer to surface to each customer in real time.
Definition
Marketing Cloud Personalization is the Salesforce real-time personalization product that captures customer behavior across web, mobile app, email, call center, and physical store interactions, builds a unified visitor profile, and decides what content or offer to surface to each customer in real time. Salesforce launched the product as Interaction Studio in 2020 after acquiring Evergage, then rebranded it to Marketing Cloud Personalization in 2022. The product''s core capability is millisecond-latency decisions powered by machine-learning models trained on the visitor''s historical and live behavior.
Personalization sits in the broader Marketing Cloud product family as the real-time activation layer on top of unified profile data. Marketing Cloud Engagement handles email and journey orchestration; Marketing Cloud Personalization handles the moment-of-truth decisions when a customer lands on the website or opens the app. Data Cloud increasingly underpins both products as the unified profile platform, with Personalization sourcing visitor profile data from Data Cloud rather than maintaining its own silo.
How Personalization decides what to show each visitor
The Evergage acquisition and rebrand history
Salesforce acquired Evergage in 2020 and rebranded the product as Interaction Studio. In 2022, Salesforce rebranded again to Marketing Cloud Personalization. The underlying product stayed the same throughout the rebrands; documentation older than 2022 uses Interaction Studio or Evergage interchangeably.
Real-time visitor tracking
Personalization captures every visitor interaction via a JavaScript tag on the website and SDKs on mobile apps. Page views, clicks, scrolls, form submissions, video plays, product views, and cart adds all flow into the visitor profile in real time. Anonymous and known-user profiles unify when the visitor authenticates, preserving the pre-login behavior.
Unified visitor profile
The visitor profile combines on-site behavior, email engagement history, mobile app activity, integrated CRM data, and (increasingly) Data Cloud-supplied attributes. The profile is the foundation for every real-time decision: which product to recommend, which banner to show, which email to trigger.
Real-time decisioning
When a visitor lands on a page, Personalization evaluates the configured campaigns against the visitor''s profile in real time. The machine-learning model picks the variant most likely to engage that specific visitor (recommended product, content variant, banner). The decision happens in milliseconds; the page renders with the personalized content.
Cross-channel orchestration
Beyond on-site personalization, the product orchestrates next-best-action across channels. A visitor who abandons a cart on web may trigger an email reminder, a push notification, or a banner on the next visit. The orchestration logic uses ML-driven likelihood scoring rather than fixed rules.
Data Cloud integration
Salesforce''s strategic direction unifies Personalization with Data Cloud and the broader Customer 360. Modern Personalization deployments source visitor profile data from Data Cloud rather than maintaining the older standalone profile silo. This is the long-term architecture; existing standalone deployments can migrate.
Pricing and licensing
Marketing Cloud Personalization is licensed per monthly active profile, with tiered pricing based on profile volume. Enterprise deployments routinely run in the seven-figure annual range. The licensing is separate from Marketing Cloud Engagement, Pardot, and Data Cloud; bundled pricing is available.
Roll out Marketing Cloud Personalization
Personalization rollouts are multi-month projects. Technical setup is a few weeks; campaign and personalization design takes longer.
- Provision the dataset
Coordinate with the Salesforce account team to provision a Personalization dataset (formerly known as a Mass account).
- Deploy the JavaScript tag
Add the Personalization JavaScript tag to every page on the website. The tag captures page views and events.
- Add mobile SDKs
Install the iOS and Android SDKs in the mobile app. They send the same event stream as the web tag.
- Connect to CRM and Marketing Cloud
Configure the Salesforce connector for known-user identity sync. Plan Data Cloud integration where applicable.
- Design personalization campaigns
Build campaigns that decide what each visitor sees. Start simple (recommended products, content rotation) before complex orchestration.
- Pilot, measure, expand
Launch one campaign at a time. Measure lift via A/B testing. Expand to more campaigns once baselines exist.
- The Interaction Studio name persists in older documentation. Treat Interaction Studio and Marketing Cloud Personalization as synonyms.
- Visitor profile volume drives licensing cost. High-traffic sites can blow through licensed volume; size the contract with realistic forecasts.
- JavaScript tag deployment requires coordination with the web team. Missed tags miss events, producing under-personalized experiences.
- Data Cloud is the strategic direction. New deployments should evaluate the Data Cloud-first architecture.
Trust & references
Cross-checked against the following references.
- Marketing Cloud PersonalizationSalesforce Help
- Personalization Product PageSalesforce
Straight from the source - Salesforce's reference material on Marketing Cloud Personalization.
- Marketing Cloud OverviewSalesforce Help
About the Author
Dipojjal Chakrabarti is a B2C Solution Architect with 29 Salesforce certifications and over 13 years in the Salesforce ecosystem. He runs salesforcedictionary.com to help admins, developers, architects, and cert/interview candidates sharpen their fundamentals. More about Dipojjal.
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