Deliver 1:1 customer moments with Personalization (2024)

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Marketing Cloud Personalization

Personalize every customer experience with AI and real-time data to optimize conversions and reduce costs.

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What can you do with Marketing Cloud Personalization?

Treat every customer as an individual and drive ROI across your marketing programs with our personalization engine.

Personalize moments across the customer journey.

Create personalized experiences with machine learning and AI. Customize everything, from webpages to in-app experiences, product recommendations, content, and more. Tailor each customer experience for driving a specific KPI, from acquisition to customer retention, using a mixture of real-time user behavior and historical customer data. Improve page personalization with machine learning, informing CTAs like banners or pop-ups. You can even target and test at the speed your customers are browsing, with personalization decisions happening in milliseconds.

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Trigger relevant, real-time experiences that move customers along their buying journey. Use AI-driven decisions to determine the most relevant next engagement for your customers with recommendations based on real-time customer behavior, historical customer data, and business specific data sets, such as pricing and inventory. Deliver predefined experiences to your customers, such as browsing or cart abandon journeys — all while using real-time customer interactions to determine the right content, channel or offer for them.

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Feed real-time engagement data directly into your sales and service consoles to improve customer and prospect interactions. Empower service teams to preempt queries and provide more effective case resolutions, with faster access to a customer’s recent interactions across different business touchpoints. Enable your sales teams with more insight into an account or prospect’s purchase journey — fueling more relevant conversations and offers, using real-time knowledge of content consumed, products viewed, or time spent on your site.

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Engage with real-time recommendations.

Use AI to synthesize in-the-moment intent data and past business engagements to identify customer affinities, interests, and preferences. Grow your personalization capabilities with a fully customizable affinity graph — allowing you to map and visualize rich, real-time customer profiles. Develop nuanced perspectives on your customers based on individual preferences and use these insights to deliver custom messaging and offers — bringing you higher conversion rates across your website, app, and other channels.

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Use real-time personalization to engage your customers with relevant email campaigns. Send timely, custom messages with Open-Time Email Personalization that can optimize an email at the time of open with dynamic, changeable sections. Any aspect of the email can be personalized — including offers, product selection, and general content — all based entirely on the real-time understanding of the customer’s journey.

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Improve the relevance of every customer engagement across your website and app with Einstein Decisions. Einstein Decisions are powered by a contextual bandit algorithm that uses real-time and historical profile data, alongside your predetermined business logic, to identify relevant, dynamic offers throughout the customer journey. As you deliver content and offers to your customers, new data will continually feed into Einstein — allowing the algorithm to improve its ability to deliver more optimal future decisions across a range of dynamic scenarios.

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Maximize return on marketing campaigns.

See real-time analytics across a range of key performance indicators — including transactions, responses, conversions, and revenue. Dig into your data at the individual, segment, and campaign level. Monitor dashboards with deep analytics on customer trends across channels and touchpoints, and improve your website and app experiences.

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Optimize your web and app experience with A/B and multivariate testing. Leverage real-time, behavioral, contextual, and historical data to target tests, based on either segment membership or rule-based test triggers. Act on results with confidence, using randomized tests that employ Bayesian modeling to assess confidence levels for both out-of-the-box and custom KPIs. Integrate data to optimize personalization across channels — including your website, mobile app, email or service, and sales interactions.

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Use profile data to deliver highly targeted surveys across your website and apps. Capture zero-party data that enriches your customer insights and personalization opportunities through progressive profiling. Leverage individual responses to inform the next piece of content your customer receives and improve the effectiveness of different CTAs across your website and apps.

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Extend the power of Marketing Cloud Personalization with these related products.

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First, choose the right Marketing Cloud Personalization edition for your business needs.

Enable personalized content and offers across every channel.

Growth

Personalize every interaction across channels like your website and email

$ 108,000

Org / Year

USD (billed annually)

  • Web and Email Personalization
  • Segmentation, Rule Based Decisioning, A/B/N Testing and Reporting
  • Product and Content Recommendations
Contact us

Premium

Supercharge cross-channel personalization with AI driven, next-best actions in real-time

$ 300,000

Org / Year

USD (billed annually)

  • Web, Email and App Personalization
  • Segmentation, Rule Based Decisioning, A/B/N Testing and Reporting
  • Product and Content Recommendations and AI-Driven Next-Best Actions and Offers
Contact us

This page is provided for information purposes only and subject to change. Contact a sales representative for detailed pricing information.

View detailed pricing

Get the most out of your personalization engine with partner apps and experts.

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Hit the ground running with marketing tips, tricks, and best practices.

Guide

See how personalized marketing can lift loyalty and raise ROI.

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Infographic

Learn what marketers say about the value of personalization to their business.

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Blog

Frustrated by personalization challenges? Learn 3 ways to improve your customer experience.

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On Demand Webinar

Deliver world-class personalization to prospects and customers. Learn how.

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Marketing Cloud Personalization FAQ

A personalization engine is a kind of technology solution that ingests customer engagement and profile data, then — using machine learning and AI — determines relevant messages, segmentation, and content for each customer, based on their preferences and affinities. These insights can then be ingested into various marketing touchpoints to power the customer experience.

Increase the ROI of every site visit with 1-to-1 personalization.

Many Marketing Cloud products offer the ability to personalize customer engagements, however, “Personalization” in Marketing Cloud refers specifically to the product that allows you to unify customer engagements across your website, app, email and other touchpoints, to generate preferences and affinities that power real-time one-to-one offers, messages, and experiences.

- Improved CSAT and customer experience
- Increased conversions on your website and across your email marketing
- Improved website and app experience, including increased time spent on-site and reduced bounce rate
- Reduced overall acquisition costs
- Improved marketing performance from smarter marketing segmentation
- Real-time triggers and intent driving engagements

Yes, Marketing Cloud Personalization and Salesforce Interaction Studio are one and the same. Interaction Studio was rebranded as Marketing Cloud Personalization in 2022.

Yes, Marketing Cloud Personalization and Evergage are one and the same. From increased innovations, feature improvements, and the evolution of the product, the name evolved twice from Evergage, to Interaction Studio, and then from Interaction Studio to Marketing Cloud Personalization.

Deliver 1:1 customer moments with Personalization (2024)

FAQs

What is 1 on 1 experiences on personalization? ›

1-to-1 Personalization describes the practice of delivering a unique, optimal digital experience for each customer using all available data from 1st and 3rd party sources.

What is an example of customer service personalization? ›

You can set up live chats or in-app messages to be triggered based on the customer's behavior. For example, if someone stays on a product page for over 10 minutes, you could trigger a live-chat bot to pop up and ask if they have questions about the product they're looking at.

What is personalization in customer experience? ›

Personalization refers to the practice of customizing experiences, content, products, or services to meet the specific preferences and needs of individual customers. It involves leveraging data and technology to deliver targeted and relevant interactions, making customers feel valued.

What is an example of personalization? ›

Personalization takes on many forms, from creating made-to-order products to leveraging AI and technology and offering strong in-store personal relationships. Grammarly, an app that helps catch grammar mistakes and improve writing, sends weekly reports to users on how their writing has improved.

What is an example of personalization thinking? ›

Personalization is a cognitive distortion in which a person places blame on themselves in a way that is disproportionate to the effects of an outcome. For example, if a family moves to a new town and a child experiences difficulty making friends, a parent might blame themself for the situation.

How to provide a personalized experience? ›

Use data to ensure your content is relevant

Your customers are looking for product or service suggestions that are relevant to their interests. Use customer data and feedback to ensure that the outreach and offers you make along the customer journey are specific to their needs or wants.

How do you Personalise customer journey? ›

Create data-driven personalization strategies

Begin by collecting pertinent information such as demographics, customer behavior, and purchase history. This data forms the foundation for crafting personalized customer journeys that cater to individual needs.

How do you explain personalization? ›

Personalization is the act of tailoring a service or a product to accommodate a specific individual or group. As the name suggests, personalization is centered on the person, fulfilling a particular customer's needs and reflecting them in the product or service.

Why do customers want personalization? ›

Customers want convenience, and part of that is being able to connect with a brand the way they want to connect.

Which of the following can be used to personalise customer experience? ›

You can use data and analytics to segment your customers based on various criteria, such as demographics, behavior, feedback, and loyalty. This will help you create customer personas that represent the different types of customers you serve and their expectations, goals, and pain points.

What are the three levels of personalization? ›

But there are different levels in which personalization can be executed: reactive, selected customer, and proactive.

What are the two types of personalization? ›

Personalization customizes the users' interaction by bringing to the foreground content that is of greater relevance to them. The goal is to deliver the right content, to the right person, at the right time. There are broadly two types of personalization — prescriptive personalization and adaptive personalization.

What are personalized learning experiences? ›

Personalized learning is an educational approach that aims to customize learning for each student's strengths, needs, skills, and interests. Each student gets a learning plan that's based on what they know and how they learn best.

Why is personalization important or one to one customer service? ›

Personalization benefits both brands and customers in several ways: For Brands: It provides deeper insights into customer preferences, evaluates the effectiveness of marketing efforts in influencing customer behavior, and enhances marketing efficiency through the automation of personalized campaigns.

What is personalized user experience? ›

The personalized experience offers relevant content, such as personalized product recommendations, after analyzing the user behaviors and attributes. b. Customization is managed by the user: Users make changes to the product/website as per their priorities and interests by rearranging the content around an interface.

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