Salesforce Certified Marketing Cloud Personalization Accredited Professional – Complete Winter '26 Guide

Catalog and Unified Profile

Marketing Cloud Personalization (formerly Interaction Studio) builds Unified Profiles by tracking individual behaviour across channels. The Catalog stores product, article, or content items with attributes — forming the basis for recommendation algorithms. Item types (Products, Articles, Blog Posts) can be configured with custom attributes. Catalog data can be ingested via sitemap, feeds, or API. The Unified Profile aggregates engagement history across web, email, mobile, and in-store touchpoints.

Einstein Recipes and Recommendation Strategies

Einstein Recipes define how the ML algorithm selects recommended items. Recipe types: Collaborative Filtering (users who viewed/bought X also liked Y), Content Affinity (attributes the individual user prefers), User Trending (popular among similar users). Strategies combine multiple Recipes with explicit rules (exclude viewed items, include only in-stock items, boost by margin). The exam tests how to configure a Strategy for a given personalisation scenario — e.g., homepage recommendations vs cart page cross-sell vs post-purchase email.

Web Campaigns and Server-Side Personalisation

Web Campaigns are the delivery mechanism for personalised experiences. Server-Side Campaigns run before the page renders — for personalising page content without DOM flicker. Client-Side Campaigns inject content after page load — for overlays, pop-ups, and callouts. A/B testing is built into campaigns — control group receives the default experience, treatment group receives the personalised version. The exam tests when to use server-side vs client-side delivery and how to configure campaign targeting rules.

Segmentation and Triggered Campaigns

Segment Builder creates real-time audience segments based on Unified Profile attributes — engagement score, category affinity, lifecycle stage. Segments update in real time as users engage. Triggered Campaigns fire when a user enters or exits a segment, or performs a specific action (abandons cart, views a product). Triggered messages can fire via email (via Marketing Cloud Journey Builder), mobile push, or real-time web experiences. The exam tests segment design and trigger condition configuration.

Channel Integration: Email and Salesforce

Email Integration connects Personalization with Marketing Cloud — Einstein Recipe recommendations appear in email templates via AMPscript or Open Time Email. Journey Builder integration enables triggered journeys based on Personalization segment entry. Salesforce CRM integration surfaces personalised recommendations in Sales and Service Cloud records. The exam tests how recommendation blocks are implemented in emails, how to pass user context between channels, and how to measure personalisation lift (revenue per recommendation shown).

Web SDK Implementation

Know how to implement the Personalization web SDK (Evergage beacon), configure sitemap mappings for page types and item catalog, and how event data is sent to the Personalization platform.

Catalog & User Profile

Understand the Personalization catalog (Products, Articles, Blog Posts) and how item attributes drive recommendations. Know how User Profile attributes are built from behavioral events and how they power segmentation.

Campaign Types

Know the four campaign types: Web (in-page personalization), Triggered Email, Open-Time Email, and Server-Side (API-based). Understand when to use each and how they integrate with Marketing Cloud.

Einstein Recipes & Recommendations

Know how to configure Einstein Recipe types (Trending, Recently Viewed, Similar Items, Collab Filtering) and how Boosters and Exclusions customize recommendation logic for specific use cases.

Reporting & A/B Testing

Know how to interpret campaign performance reports (impressions, CTR, revenue per impression) and configure A/B tests against a control group to measure the lift from personalization.