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Getting Started, Marketing Cloud, New Features
August 13, 2025

How to Use AI in Next Gen Marketing Cloud to Elevate Your Campaigns

Erin Duncan

Product Note: Marketing Cloud Growth and Advanced are editions of Marketing Cloud Next and have also been referred to as Agentforce Marketing.

If you’ve ever built a marketing campaign, you know the drill: after agreeing on your brief, you still need to draft emails, nail the design, run approvals, and put it all into motion. That process often takes weeks, or even longer. And while you and your team have your heads down in the mechanics, there’s less bandwidth for the personalization and creative thinking that truly builds connection with your audience and drives growth. Which is why leaning into your tech stack and using the latest solutions, such as Marketing Cloud Growth and Advanced, to streamline the campaign creation process, so your team can be freed up to focus more on the human element, is critical to continue to scale and grow in this modern age.

Product experts and Marketing Champions, Erin Duncan and Heather Rinke led a webinar, Elevating Your Campaigns with Next Gen Marketing Cloud, to walk you through how to use Marketing Cloud Growth and Advanced to streamline your campaign creation process. In their session, they dive into the platform and take you through step by step from prompt to flow to email creation and Path Experiment configuration. Watch the full webinar on-demand and get the highlights to start exploring how you can lean into the latest tech to scale your marketing efforts and create personalized, seamless cross-channel experiences that build deeper relationships with your audience.

Elevating Your Campaigns with Next Gen Marketing Cloud
Watch On Demand

What is Next Gen Marketing Cloud?

Let’s take a step back and level set on what we mean by Next Gen Marketing Cloud. “Next Gen Marketing Cloud” refers to the latest Marketing Cloud platform, Marketing Cloud Growth and Advanced. However, at Connections 2025, you may have also heard the term “Marketing Cloud Next”, this is an umbrella term for all of the latest Marketing Cloud offerings and refers to the combined functionality of features from Marketing Cloud Growth and Advanced, Marketing Intelligence, Loyalty, and Salesforce Personalization.

Other terms that have been used are Marketing Cloud+ and Account Engagement+. This refers to using the combined features of Marketing Cloud Engagement and Marketing Cloud Growth and Advanced (Marketing Cloud+) and Marketing Cloud Account Engagement and Marketing Cloud Growth and Advanced (Account Engagement+).

Marketing Cloud Next is “a strategic reframe of marketing itself”. Its vision is to end “no-reply marketing” and help companies provide a better overall experience for their audience. The Venn diagram below illustrates how these product features work in conjunction with each other and the different product names that may be used when these products are used together.

A Venn Diagram of all the Marketing Cloud product names and how they relate to each other

Using AI to streamline campaign creation in Next Gen Marketing Cloud

Campaigns can take weeks for a marketing team to plan and launch. According to Email Vendor Selection, 35% of marketing teams take up to two weeks just for their email production process and 5% take over a month. Meaning the more that marketers can find ways to help streamline and fast-track the process, the better, which is where the AI features of Next Gen Marketing Cloud can help.

By folding AI into the campaign workflow—from brief to email draft to segmentation—it dramatically shortens campaign turnaround time. That means your team can spend more of that precious time dialing in personalization, tweaking messaging, and creating marketing that feels human—not just efficient.

Starting with a strong campaign prompt

To use the AI features in Marketing Cloud Growth and Advanced, start by drafting your campaign. First select Draft with AI, then Create a Brief and provide your prompt, AI will draft your campaign brief in seconds.

The campaign brief will include your campaign title, description, key messaging, and the target audience. Your campaign brief will only be as good as your prompt, which is why it’s important to make sure you include all the right details.

Best practices for prompts:

Be specific about audience, channel, timing, and tone.
Use clear, conversational language without unnecessary jargon.
Include parameters such as word count, required inclusions/exclusions, and target personas.

Example prompt:

“Create an email campaign inviting marketers who have engaged in the last 12 months to our ‘Elevate Your Campaigns with Next Gen Marketing Cloud’ webinar on July 10th at 1 PM ET. Highlight how attendees will learn to apply AI at each stage of campaign creation.”

Therefore, before you create your prompt, make sure you and your team are aligned on the overall strategy for the campaign so that you can provide a clear detailed prompt.

A GIF of a user walking through how to use the Draft with AI feature to use AI to create your campaign in Marketing Cloud Growth and Advanced.

Watch the full Agentforce for Marketing demo

Editing your campaign emails in Next Gen Marketing Cloud

After you review and edit your campaign brief, click Next to view the emails and SMS messages that have been created based on your prompt and campaign brief.

You can click into each message and edit the subject line, pre-header text, and the body paragraphs to ensure the messaging is exactly the way you want it. You can also provide feedback with a thumbs-up or thumbs down so the system can learn and grow each time it generates content. Again, depending on how well you specified your audience, tone, and channels in the prompt will determine how much editing and tweaking you’ll have to do.

Using Einstein Engagement Frequency to manage audience saturation

After fine-tuning your messages, configure your audience segment. An important piece of creating experiences that build meaningful connections with your audience is not over saturating them, which is where Einstein Engagement Frequency can help.

Einstein Engagement Frequency helps ensure contacts receive the right amount of communication by analyzing their engagement to generate a personalized engagement frequency score and then classifying their engagement. The classifications are as follows

Saturated
Almost Saturated
On Target
Under Saturated

Excluding Saturated contacts helps to ensure that you’re not emailing or messaging your audience too much, and this Einstein feature makes sure the evaluation is done automatically, so you don’t have to spend time tracking this manually.

Testing with Path Experiment

Another way to elevate the campaign experience for your audience is to test different journey options and lean into what is resonating and driving the most engagement.

Path Experiment is available for Marketing Cloud Advanced and expands on traditional A/B testing by allowing up to 10 different paths within a single experiment. You can test variations in content, channels, or cadence to see what produces the strongest engagement.

For example, you could create two paths consisting of an email followed by a wait period and then an SMS message. In the second path, you can add as many variations as you would like, such as adding a testimonial quote to the email, making the wait period longer, or adding a discount code to the SMS message, and then see which path performs the best.

A screenshot of a path experiment in Next Gen Marketing Cloud showing two paths with an original email, 1-day wait period, and an SMS message on the left path with a revised email, a wait period of 1 week, and an SMS message with a discount on the right path.

Engaging your audience with SMS

Next Gen Marketing Cloud supports multiple SMS approaches:

Long Code SMS – cost-effective, supports international, suited for smaller sends.
Short Code SMS – faster sends for large audiences, higher provisioning cost, and longer provisioning time.
Conversational SMS – enables two-way communication using Flow automation or chatbots. Conversational SMS is available for Advanced Edition with the Digital Engagement add on.

This flexibility allows you to select the right SMS format for your organization depending on your needs and strategy. For further guidance on setup, read Erin Duncan’s article on SMS provisioning and Marketing Cloud Growth and Advanced, it takes you through all the steps and considerations for success.

The path to start using Marketing Cloud Growth and Advanced features

The platform you have now will determine what your next steps might look like to start diving into Marketing Cloud Growth and Advanced.

Announced at Connections 2025, Marketing Cloud Engagement customers will get access to Marketing Cloud Growth/Advanced around Dreamforce (October 2025), more details around how and when customers can start diving in further with the platform is coming. Here are the requirements:

Salesforce CRM Enterprise Edition or higher
Data Cloud
- Free Data Cloud available
Credits to fuel Next Gen Marketing Cloud
- Credits are available with Salesforce Foundations

The best action to take now is to learn and build your strategy for how your team will start taking advantage of Next Gen Marketing Cloud features once you get access.

The announcement for Marketing Cloud Account Engagement customers getting access to Marketing Cloud Growth and Advanced features came back in October 2024. Our experts led a session, Unlocking Next-Gen Marketing: How to Activate New Features Available for Account Engagement Customers, on all the capabilities that marketing teams can start tapping into with Marketing Cloud Growth and Advanced. Watch On Demand.

Here are the requirements to keep in mind:

Salesforce Enterprise Edition or higher
Current edition of Account Engagement
Data Cloud
- Free Data Cloud available
Credits to fuel Marketing Cloud on Core
- Some credits are available with Salesforce Foundations

Elevate your campaigns with Next Gen Marketing Cloud

The AI capabilities in Next Gen Marketing Cloud offer significant efficiency gains for campaign creation. By starting with a clear prompt, using audience saturation data to manage send frequency, testing multiple engagement paths, and incorporating multi-channel outreach, marketers can deliver more relevant, timely, and effective campaigns. Giving your audience personalized, seamless experiences that build deeper connections and ultimately drive growth for your business.

This technology is at our fingertips. It’s up to us to educate ourselves, know what it can do, and start exploring and using it to help us all do what we do best more efficiently and give our customers the engagements they’re expecting. But the path to navigating all of this can be challenging, so if you would like an expert guide to achieve success, reach out to the Sercante team.

Marketing Cloud, New Features, Release Notes, Technology
May 16, 2025

Salesforce Summer ’25 Highlights: Marketing Cloud

Cara Weese

Product Note: Marketing Cloud Growth and Advanced are editions of Marketing Cloud Next and have also been referred to as Agentforce Marketing.

The Summer ‘25 release for Marketing Cloud Growth and Advanced Editions is here, and it’s packed with updates designed to turbocharge your team’s efforts. Think of it as a toolbox upgrade: we’re talking AI-powered reporting, slick campaign automation, revamped content tools, and stronger consent tracking. Let’s dive into what’s new and how these features can make your work smoother and your customer experiences much more impactful.

Work Smarter with Einstein

With Summer ‘25 Einstein in Marketing Cloud takes a big leap forward, offering marketers real-time insights and more innovative automation options. If you ever wished you had more time to analyze engagement or fine-tune your campaigns, this update is for you!

New Einstein Predictive Features

New Data Cloud reports enable you to dive into Einstein Engagement Frequency (EEF) and Einstein Engagement Scoring (EES) without needing to export or manually assemble data. Marketers can now create reports directly in Data Cloud using the Email Engagement Frequency and Email Engagement Score objects. Whether you’re trying to reduce fatigue by adjusting send frequency or prioritize highly engaged audiences for your next campaign, these reports help you make data-backed decisions faster and with more confidence.

Automate Flows with Einstein

You can now automate journey paths based on predicted engagement using the new Einstein Decision element in Flow. By leveraging scores from Einstein Engagement Scoring and Engagement Frequency, marketers can direct contacts down the most effective path. For example, you can send fewer messages to at-risk audiences or prioritize highly engaged contacts for conversion. Once you create a supporting data graph, just drop the Einstein Decision element into your flow and configure conditions using your data graph’s engagement fields. It’s a powerful way to build smarter, more responsive campaigns that respect your customers’ engagement signals.

Build Data Graphs for Einstein Send Time Optimization

Einstein Send Time Optimization (STO) is now more customizable thanks to updates to the underlying data model. After disabling and re-enabling STO in Einstein for Marketing Setup, you can build a custom data graph to personalize send time predictions based on your unique business data. This added flexibility lets you capture the signals that matter most to your audience, helping Einstein determine not just the best time to send, but the best time for your customers.

Use Agentforce to Get Scores for Record IDs

Agentforce users can now tap into deeper insights with the new “Get Score for Record ID” action. This feature retrieves engagement and fit scores for individual leads, contacts, and prospects, enabling marketers and sales representatives to prioritize follow-ups and personalize outreach based on real-time data. You’ll also get account-level scores, including overall and intent scores, for a more complete view of customer readiness. To get started, enable the action in the Agent Actions section of Agentforce within Salesforce Setup.

Campaign Creation Made Easy

This release introduces significant enhancements to how marketers create and manage campaigns in Marketing Cloud, providing greater flexibility and control with fewer clicks.

Explore Campaign Designer (Beta)

Marketing Cloud Advanced Edition is launching new Campaign Designer (beta) functionality, enabling you to generate multi-touch marketing briefs more quickly. All of which is powered by AI and your trusted customer data. This new functionality helps you plan campaigns that span multiple channels and moments, all grounded in the context of your existing data. When reviewing a draft brief, you can select an existing campaign to build from, and use AI to refine messaging and channel selection, making it easier to align teams, drive consistency, and launch with confidence.

Build Your Own Campaign

Looking to start from scratch? With the new “Build Your Own Campaign” option, marketers are no longer tied to quick-start templates. You can now select “Build Your Own: when creating a campaign, choose your flow type, and build as you go. Add message elements directly from the campaign record or dive into Flow Builder to design a more curated customer experience that is tailored to your goals, audiences, and data.

Edit Your Flow from the Campaign

Managing and updating your campaign flow is now easier and more seamless. If your flow includes five or fewer elements, you can add messages and wait steps directly from the campaign record without switching to Flow Builder. You can also configure key message details, like Einstein Send Time Optimization and tracking options, all within the same view, making it easier to keep everything aligned as your campaign evolves.

Streamlined Content Personalization

If content is the heart of your marketing strategy, this release gives you the tools to keep it beating stronger. From fine-tuned control over HTML and data sources to more innovative personalization powered by recommendations and dynamic elements, Summer ’25 is all about helping you create more meaningful, relevant content, without adding complexity to your workflow.

Gain Control of Your Email HTML

Gain complete control over your email design with the new HTML code view. You can now convert existing emails to HTML, make detailed structural or styling edits, and build fully customized, responsive emails all within the editor. Whether you’re troubleshooting, refining layouts, or adding advanced formatting, this feature gives marketers and developers the flexibility to go beyond drag-and-drop.

Review Your Updated Data Sources Tab

Working with dynamic content just got more intuitive. The updated Data Sources tab gives you better visibility and control over the data powering your emails. Now, instead of jumping between tools, you can add, update, and view all available data sources, including your default data graph or unified individual, directly within the email editor. This makes it easier to ensure your personalization is accurate and aligned before hitting publish.

Check Out Repeater for Email

Advanced Edition users can now take email relevance to the next level with Personalization Recommendations and the new Repeater for Email component. This feature lets you dynamically showcase recent purchases, popular products, or personalized content in a consistent card, list, or custom layout. Simply connect the repeater to a data source and utilize merge fields to display product names, images, descriptions, etc. This ensures that every message reflects what matters most to each recipient.

Personalize Links and Images in Every Email

You can now dynamically personalize images and buttons in your emails by using merge fields or dynamic URLs. This allows you to tailor visuals and calls-to-action for each audience segment, creating more relevant and engaging experiences across your campaigns.

Explore New Field Types for Forms

New form field types provide greater precision and flexibility when capturing data. You can now use Date, Date/Time, Time, Number, and Text Area (Long) fields to support more detailed, structured inputs—perfect for scheduling, time-sensitive actions, numerical data, and open-ended responses. The updated Long Text Area also features a larger input box with a draggable corner, providing users with a more seamless experience when submitting longer responses. Whether you’re collecting preferences, running surveys, or managing gated content, these enhancements make your forms smarter and more user-friendly.

Expand Your Brand Identity

The expanded Brand Identity field in Content Builder now gives you up to 1,000 characters to describe your brand’s voice, values, and unique positioning. This added detail helps Agentforce generate AI-powered content that’s more aligned with your brand’s style, whether you’re drafting emails, landing pages, or SMS messages. The result? More consistent, on-brand messaging with less manual editing.

Delete CMS Workspaces

Need to declutter your content library? Content admins can now delete outdated or unused CMS Workspaces to keep things organized. First, remove any sharing relationships and unpublish existing content. This cleanup option makes it easier to manage your content at scale and maintain a more streamlined workspace. (Note: the default Marketing Cloud workspace can’t be deleted.)

Simplify Consent Tracking and Compliance

Consent isn’t just a compliance checkbox, it’s a critical part of building trust with your audience. The Summer ’25 release introduces several updates that enable marketers to collect, manage, and format consent data more effectively across campaigns and systems.

Automate Consent Updates with Flow Actions

Consent management is now more flexible and automated. You can collect and update consent using the new Create Consent flow action in both event-triggered and Data Cloud–triggered flows. For example, when someone clicks a custom link, including a double opt-in email, you can automatically update their consent status to Opted Out or Subscribed, with no manual steps required. This update makes it easier to keep consent data current and automate compliance across your marketing programs.

Improved Consent Imports

Consent imports just got more accurate and easier to manage, especially for mobile messaging. You can now include a country code column when importing SMS or WhatsApp consent data, helping ensure that records are correctly classified by region. This is especially valuable for supporting country-specific compliance requirements. Additionally, updated phone consent formatting guidelines make it easier to standardize values during import, reducing errors and helping you maintain clean, reliable consent records across your messaging channels.

Move Faster with Smarter Marketing Automations

The Summer ’25 release introduces a set of powerful automation enhancements designed to streamline how marketers engage leads and manage campaign activity. These updates bring core actions, such as sending emails, tracking link clicks, and managing prospect lifecycles, closer to your day-to-day workflows, making it easier to move fast, stay organized, and respond to customer behavior in real-time.

Send Emails Directly from Lead and Contact List Views

You can now send marketing emails directly from any list view of Leads or Contacts. Simply click ‘Send Email’, select the ‘Marketing Email’ option, and follow the guided steps to build and send your message. Behind the scenes, Salesforce automatically creates the campaign, flow, and audience segment for you, making it easier than ever to launch quick follow-ups or targeted nurtures with minimal setup.

Attribute Clicks Beyond the Inbox

Looking to understand what happens after someone clicks through your email or ad? With Summer ’25, you can now track links to your external website and attribute that activity back to the source, whether it’s an ad, email, or other campaign asset. This provides you with deeper visibility into off-platform engagement, helping you connect the dots across the customer journey. If you set up external tracking before this release, you’ll need to update your Behavioral Events data stream to start using the enhanced tracking features.

Convert Prospects to Contacts

You can now convert qualified Prospects to Contacts in Marketing Cloud, either manually or by using automated Flows. This enhancement provides you with more control over how and when individuals progress through the sales cycle. Whether you’re ready to hand off a lead to Sales or building an automated nurture, this feature helps streamline the sales process, personalize communication, and drive higher conversion rates by associating each new contact with the correct account at the right time.

Move Faster with Smarter Marketing Automations

Every successful marketing campaign starts with a strong foundation, and that begins with how your platform is set up. In the Summer ’25 release, Marketing Cloud focuses on making setup and configuration simpler, faster, and more intuitive, so teams can spend less time managing infrastructure and more time launching impactful campaigns. Whether you’re provisioning channels, organizing data spaces, or fine-tuning identity resolution, these updates are designed to help you hit the ground running with confidence.

Unified Messaging Data Kit

Setting up messaging channels is now easier than ever. The Unified Messaging data kit installation and update process has been improved, making it faster and more intuitive to get started. Whether you’re enabling new channels or updating existing ones, the streamlined setup reduces manual steps, allowing you to focus on activating your messaging strategy, not troubleshooting the installation.

Improved SMS Provisioning Process

SMS setup is now more guided and error-proof. In Unified Messaging Setup, you’ll find clear, country-specific instructions for requesting SMS codes, registering brands, and provisioning campaigns. These updates help reduce confusion, minimize errors, and speed up approvals. If a request is rejected, you will receive a detailed explanation, allowing you to resolve issues and resubmit with confidence quickly.

Custom Data Spaces Support

New Marketing Cloud customers now have the option to set up a custom data space during initial configuration, bringing more structure and clarity to how marketing data is managed in Data Cloud. This update is beneficial for organizations managing multiple brands, teams, or product lines, as it offers enhanced data security, faster retrieval and processing, and improved overall data quality. Previously, all marketing data defaulted to a single space; however, with Summer ’25, segmentation and governance can begin on your terms, right from day one.

Identity Licenses Now Available

Marketing Cloud now supports Identity Licenses, giving you a more flexible way to add users to your marketing team without assigning full Salesforce licenses. Users with the Identity License can log in via SSO and access most Marketing Cloud features, including campaigns, segments, flows, and shared analytics reports, when granted the Marketing Cloud Manager permission set. This update makes it easier to scale access securely, while keeping centralized control over who can work in your instance. Note: Identity users will not have access to Marketing Cloud setup or Opportunity Influence features.

New Identity Resolution Rules

Salesforce now recommends adding two new custom rules to your Identity Resolution ruleset to enhance the matching and unification of customer records. These rules are designed to improve accuracy during the conversion process and help identify visitors to your tracked external websites. By refining how identities are resolved across systems, you strengthen your data foundation, supporting more personalized marketing and building greater trust with your audience.

The Summer ’25 release for Marketing Cloud Growth and Advanced Editions delivers exactly what modern marketing teams need: more speed, smarter automation, and greater personalization, all built on a stronger, more scalable foundation. From Einstein-powered insights and flexible campaign design to enhanced consent tracking and setup improvements, these updates are designed to help you move faster and create more meaningful experiences at every touchpoint.

Ready to see how these features can drive real results for your team? Reach out to the Sercante experts for a Marketing Cloud audit or consultation to assess your current setup and identify opportunities to leverage the latest capabilities. Whether you’re just getting started or looking to optimize what you already have, we’re here to help you make the most of Summer ’25.

Automations, Emails & Forms, Marketing Cloud, New Features, Technology
April 16, 2025

Step-by-Step Guide: Creating Marketing Cloud on Core Form-Triggered Flows with Autoresponder Emails

Mike Morris

Product Note: Marketing Cloud on Core is now known as Marketing Cloud Next. Marketing Cloud Growth and Advanced are editions of Marketing Cloud Next and have also been referred to as Agentforce Marketing.

Marketing Cloud on Core (aka Growth and Advanced Edition) offers simple out-of-the-box form-triggered flows that are great for lead generation and straightforward scenarios, but today we’re going to dive into something more complex! In this post, I’ll walk you through the process of building a flow that checks for existing contacts and leads before creating a new lead, creates consent records, and sends an autoresponder email. Let’s get started.

Setup Notes

All testing was conducted after the Spring ‘25 release in a demo org. The standard lead duplicate rule was active and configured to allow the creation of duplicate records with alerts.

OOTB Form-Triggered Flows

Before we begin customizing the out-of-the-box flow, it’s important to understand the capabilities and limitations of Form-Triggered Flows. This helps guide decisions concerning when customization is necessary.

OOTB Form-Triggered Flow without Lead Matching

This is the most basic flow and is what’s automatically generated when the Signup Form template is selected during the campaign creation process. No modifications were made to the flow, outside of configuring the “CreateConsent” element.

Test Results

Scenario	Result
Submitted by new person	New Lead Created
Submitted by existing lead	New Lead Created
Submitted by existing contact	New Lead Created

Summary

In all three test scenarios, a new lead record was created leading to duplicates in Salesforce.

OOTB Form-Triggered Flow with Lead Matching

In this test, a very slight, but important, modification was made to the flow—the “Check for Matching Records” option was enabled in the “LeadCreation” element.

Test Results

Scenario	Result
Submitted by new person	New Lead Created
Submitted by existing lead	Existing Lead Updated
Submitted by existing contact	New Lead Created

Summary

This small update made a significant improvement. The flow now prevents the creation of duplicate leads when an existing lead submits the form. However, a new lead record is still being created when an existing contact submits the form.

This occurs because flows are object-specific, and the OOTB flow only references the lead object. It lacks visibility into the contact object, so it creates a new lead if an existing lead is not found. In short, the flow is performing exactly as it’s designed to.

OOTB Form-Triggered Flows Summary

The OOTB Form-Triggered flows support simple use cases, but it’s important to be aware of the potential for duplicate record creation. These flows are intended as a starting point for marketers and should be customized to meet more specific requirements.

Form-Triggered Flows with Autoresponder Emails

Use Case

Your company just released its latest white paper, which is expected to have great appeal to potential and existing customers alike. The marketing team is posting the white paper on the website as a gated asset. In addition to redirecting users to a “Thank You” page, marketing also wants to send an autoresponder email. The autoresponder not only provides the recipient with easy access to the white paper should they want to view it again later but also serves as a way to validate the email address that was provided.

Why do we need to customize the OOTB flow?

Since the white paper will “appeal to potential and existing customers,” we know that the form will be submitted by new visitors, existing leads, and existing contacts. If we simply added a “Send Email Message” element to the OOTB flow, we could send the autoresponder email, but we would create new leads in Salesforce if an existing contact submitted the form.

The flow needs to be customized to check for existing contacts, in addition to existing leads, before creating a new lead and sending the autoresponder email.

The Finished Product

Before we walk through the build of the flow, let’s first take a look at the finished product. Then, we’ll review each element, discuss its function, and why it’s needed.

CreateProspect

Function: Creates a new record on the prospect object for each form submission.
Reason: Flows using the “Send Email Message” element are required to have a “Create Records” element directly after the Start element. The “Create Records” element must create a record on the Contact, Lead, or Prospect object.

If we created records on the Lead object, we would be in the exact same situation as the OOTB flow: we would create duplicate leads when contacts submitted the form. If we created records on the Contact object, we would bypass the Lead object, and submissions from new visitors would be created as contacts.

The Prospect object was introduced as part of the Spring ‘25 release and is designed to keep unqualified prospects unassigned until they meet your organization’s agreed-upon lead requirements. We can satisfy the flow requirement by creating a record on this object without involving the sales team or triggering automations.

GetContacts

Function: Retrieves all contacts who match the form submission based on the provided email address and last name.
Reason: Before we can check if a form submission is an existing contact, we must first give the flow visibility into contact records so that we have something to compare against in the “Decision” element.

Contact Match

Function: This “Decision” element is used to check if the form submission is an existing contact. If a match is found, the existing contact record is updated. If a match is not found, the existing lead record is updated (if one is found), or a new lead record will be created.
Reason: Prevent the creation of duplicate leads when existing contacts submit the form.

UpdateContact

Function: Update existing contact records based on data included in the form submission.

Reason: Update the contact record with the most current data.

LeadCreation

Function: Create new lead records or update existing lead records based on data included in the form.

Important: Make sure “Check for Matching Records” is enabled.

Reason: Create/update lead record with the most current data.

CreateConsent

Function: Creates a consent record based on the contact point for the selected channel and subscription.
Reason: Consent records are required for sending promotional emails from Marketing Cloud on Core.

TransactionalEmail

Function: Transactional emails are non-promotional, immediate, and automated communications sent in response to a user’s action or interaction.
Reason: In this use case, the transactional email is used to send the ungated link to the white paper for future reference. Transactional emails can be used as long as they contain no promotional elements.

DeleteProspect

Function: Deletes the prospect record created by the first element.
Reason: This step is optional but recommended. Since a prospect record was created solely to satisfy the requirement of having a “Create Records” element first, deleting the record helps keep the org clean. If you are using the prospect record for purposes beyond fulfilling this requirement, you can skip this step.

Other Use Cases & Next Steps

This structure can be applied and adapted to other use cases where there is a need to send autoresponder emails to leads and contacts without creating duplicate records. Examples include flows that create tasks or campaign member records in addition to sending autoresponders.

Flows might seem challenging at first, but marketers will love them once they gain more experience. The key takeaway is to get hands-on, test, and don’t hesitate to ask for help if needed. Personally, I can say that I received a lot of support from my friends at Sercante when I was starting out, and I still do today!

Marketing Cloud, Release Notes
April 8, 2025

Masterclass in Marketing Cloud Account Scoring: Spring ’25 Edition

Cara Weese

Product Note: Marketing Cloud Growth and Advanced are editions of Marketing Cloud Next and have also been referred to as Agentforce Marketing.

Welcome to your Masterclass in Account Scoring – where we take your Salesforce skills from good to guru-level! With the Spring ‘25 release, Salesforce introduces Account Scoring, a smart, customizable, and easy-to-manage scoring solution within Marketing Cloud Growth and Advanced Editions (aka “Marketing Cloud on Core” or just “Marketing Cloud”). So, grab your virtual whiteboard, and let’s dive in!

Account Scoring 101: The Fundamentals

Account Scoring is a brand-new feature in Marketing Cloud on Core, designed to give businesses deeper insights into which accounts are most likely to convert. Unlike People Scoring, which evaluates individual leads and contacts based on engagement and fit, Account Scoring takes a broader approach, analyzing entire organizations. This is especially valuable for Account-Based Marketing (ABM) strategies, where sales and marketing teams focus on targeting high-value accounts rather than individual leads.

How Does Account Scoring Differ from People Scoring?

People Scoring is focused on individual engagement and fit. Individuals are scored based on how well they fit your ideal persona and how often they engage with your Marketing initiatives.
Account Scoring aggregates data from all contacts within an organization, providing a more holistic view of an account’s likelihood to convert.
Intent Scoring (optional in Account Scoring) identifies buying signals, making it easier to target accounts actively considering a purchase.

Account Scoring is a game-changer for ABM-focused campaigns, where teams need to evaluate an entire company rather than just a single decision-maker. With this new feature, marketing and sales teams can prioritize high-value accounts, personalize outreach at the account level, and drive stronger conversion rates.

Let’s break down the core curriculum of Account Scoring in Marketing Cloud on Core:

Engagement Scoring – Think of this like a participation grade. The more someone interacts (emails, website visits, messages), the higher the score.
Fit Scoring: This is your compatibility test. Does the account match your ideal customer profile? If so, your points will increase.
Intent Scoring – This one’s all about purchase signals. If an account drops hints they are ready to buy, the score reflects that.

Now let’s discuss how to elevate your Account Scoring skills to an expert level.

Take Control of Calculated Insights

Previously, once you published scoring rules, the system would auto-refresh Calculated Insights every six hours – whether you wanted it or not. With Spring ‘25, Salesforce has introduced the power to unschedule or reschedule Calculated Insights. Now, you control when and how often your scores refresh, ensuring you’re optimizing Data Cloud service credits and keeping your system running efficiently.

Customize Your Scoring Model Like a Pro

Say goodbye to one-size-fits-all scoring. Account Scoring allows you to adjust the weighting of Engagement, Fit, and Intent Scores to align with your business strategy and ensure the scoring model fits your unique needs.

Need Engagement to weigh 70% instead of 50%? You got it.
Want Intent to be the biggest factor? Done.
Would you prefer Fit to lead the charge? No problem.

Activating Account Scoring

To start using Account Scoring:

Create a Unified Account Identity ruleset
1. Account Identity rulesets allow you to target contacts related to accounts as well as segments based on Account attributes.
Enable Account Scoring
- You can also enable Intent Scoring at this stage if you wish to use this feature.

3. Customize your scoring rules and your score ratio. Don’t forget to republish your rules once your changes are saved.

Smarter Rule Management and Publishing

No more accidental rule mishaps! Now, when you tweak your scoring rules, you’ll need to publish them again for the changes to take effect. Here’s your checklist for success:

Customize Fit and Engagement Scoring under Setup > Scoring Rules.
Fine-tune Account Scoring under the Account tab.
Republish once all your changes are set.
Remember, once published, rules cannot be unpublished – only modified.
Keep case sensitivity in mind (“Example” ≄ “example”)

Time to Put Your Skills to the Test

Congratulations, you’ve just completed your Spring ‘25 Account Scoring Masterclass! Now, it’s time to put your knowledge to work. Whether refining your scoring model or just getting started, these updates give you everything you need to optimize and win more deals.

Want expert guidance? The Sercante team is here to help. Contact us, and let’s make your scoring strategy a success!

Analytics & Reporting, Marketing Cloud, New Features
March 18, 2025

Salesforce’s New Marketing Intelligence: As Seen by a Datorama Enthusiast

Aaron Stayman

For the last seven years, I’ve been enamored by a marketing analytics tool (who among us hasn’t, I’m sure), Datorama, or Salesforce Marketing Cloud Intelligence. MCI, as we’ve come to call it, is the most seamless way my customers have found to join their data across multiple sources, built by marketers and for marketers. MCI allows users to join data together and easily create reports and dashboards using plain language from the pre-built data models. This allows for easy-to-populate smart lens dashboards, or deeply complex automated reporting triggered by specific events.

To my delight, and to the happiness of marketers, Salesforce just announced on March 18, 2025, a new version of the tool, Marketing Intelligence (MI), built on the Salesforce Platform. This new version takes the best features of existing MCI and layers them into the functionality of Data Cloud’s unified platform, while taking users to the future with agentic features that will provide down-to-earth insights with conversational agents. So without any further ado, let’s dive into this new tool, Marketing Intelligence!

What is Marketing Intelligence?

Marketing Intelligence (or MI) is a new application on the Salesforce platform designed to simplify marketing data management, deliver trustworthy, out-of-the-box insights that marketers can instantly act on, and deliver better return on investment for marketing spend. Being built on Data Cloud and connected to the Salesforce platform allows it to be fully extensible, with a toolbox for marketers at the ready- it’s everything you need to build robust, effective, and meaningful dashboards with minimal lift.

Data Cloud for Marketers Made Easy

One of the processes I have been spoiled by in Marketing Cloud Intelligence is data mapping that auto-populates based on past usage and logical guesses by the platform’s artificial intelligence. Additionally, certain APIs come with prebuilt models and mapping to build off of rather than user-defined settings. These features have helped get marketers streamlined into the world of data models and dashboarding with less lift than throwing them into a database or asking them to join various tables.

All of that, to my delight, is back in full form with Marketing Intelligence. You have the option to upload a TotalConnect file (a non-standard API, flat file of your choosing), or to use an existing API connection, with some rolled out at launch and more coming in the year ahead. Choosing a connection like Google Ads allows you to seamlessly grab that data, formatted and ready for quick mapping, and load the data you need into a dashboard in just 3 clicks.

Clean and Easy Dashboards

The dashboards look sharp and load with ease. These dashboards come prebuilt, with options to customize, and also have a key new feature compared to the existing Marketing Cloud Intelligence: generative AI summaries of your campaigns, including what’s working and what might not be. This elevates, to me, the future of dashboarding—being able not only to look at quick and easy data points and trends but also being told in plain language for what to take away or dig into. This can help marketers ask questions and dive in further, and even ask their agent to take action on what recommendations surface.

The idea of clear and plain insights especially comes up in implementations of the current dashboard tools I work in. Users looking at a dashboard want to know different information, and for dozens of users looking at a single page, the questions they’re asking are going to be different depending on needs. The option to ask your agent to recommend optimizations, and then act on it will save marketers a lot of time and headache. With Marketing Intelligence, you just need the data ready for an agent to help your end users get what they need from the data you’ve put in place.

Tidied Data Across Channels

Of course, the core goal of any marketer looking for a tool like Data Cloud, Marketing Cloud Intelligence, or this new version of Marketing Intelligence, is to tie data together across channels to tell meaningful stories they can act on. In addition to the standardized API mapping, MI creates value by uniformly harmonizing these fields across datasets and allows for a semantic model to be used on the backend to tie data together in ways that are common sense (campaign name ties across all of your channels, for instance), such as tying your campaign from paid media to your campaigns from your CRM or other tools, even when names are not exactly aligned (more on this in a moment).

I’m an existing Datorama/MCI User: What’s Worthwhile Here?

If you have been reading up to this point, you know what was probably on my mind when I first saw this tool: can I love a changed version of my favorite software of all time? (And yes, I have a favorite software of all time.) Put simply, I’m ready to love. Let’s dissect the butterflies in my stomach. (And if your heart skips a beat when you hear about normalization, semantic modeling, and ROI, there’s enough of this platform for us to share).

One Word: Normalization

When I lead implementations with clients on MCI, we talk about the ways in which their data joins. Sometimes it’s super straightforward, sometimes it’s messy. More often than not, we can devise ways to join the messy and the clean together, such as by breaking out parts of campaigns to equal full campaign names in other channels, or by using the numerous formulas Marketing Cloud Intelligence offers out of the box.

In MI, this is no longer necessary. One of my favorite surprises is seen below: you can classify and normalize data with Einstein AI, so instead of working to modify and standardize all of your data either in the platform of origin or in Intelligence, you can instead have Einstein help you set standardization of your data. This is a fantastic path forward in joining datasets together for synchronized cross-channel reporting.

Two Words: Semantic Modeling

Though users will have an out-of-the-box paid media data model ready to go, users will have free range beyond the world of pre-defined data models in MCI. In MI, you can set up a semantic model that joins datasets together across multiple objects. While you may miss some of the standardization of having ads, conversion, and web analytics data models, among countless others in MCI, you will get seamless back-end loading of data together, along with seamless joins to standard Salesforce object data. This also means that you can add fields and relationships with full customization as your datasets evolve, or as you update back-end nomenclature to more cleanly join fields from one connection to another.

Three Words: Return on Investment

Speaking of Salesforce data, what elevates a good MCI implementation to a great one, in my books, is the joining of cost/engagement data to tangible ROI and meaningful dollar results. With the new integration to the semantic model and the ease of connecting standard objects from Sales Cloud, users can handily create and easily visualize ROI metrics in MI wherever data cleanly intersects, which is now made much easier with Einstein normalization and semantic modeling.

Additionally, attribution is a more straightforward possibility with MI than in current MCI, with the framework to capture website events within Data Cloud data model objects, providing marketers end-to-end visibility into touchpoints where ads have been seen by end users. This will include attribution models for first and last touch for users, and can further be a method to validate ROI and pinpoint specific interactions with customers.

I’ve Never Used MCI or Datorama-Why Should I Explore Marketing Intelligence?

The Tool for Data Harmonization

MCI has long been the gold standard for harmonizing marketing data. When clients come to me looking for data solutions, if the core users (front and back-end) are marketers, MCI is always what I recommend. Now with MI, you have the power of what current MCI can do to enable marketers to aggregate and act on data in the same platform as your CRM and marketing data, with the added benefits of generative and agentic AI, 3 click data setup, Data Cloud, and embedded Tableau Next visualizations.

The Tool for Visualization

Current Marketing Cloud Intelligence has some great visualization options, but the two big enhancements I’ve always wanted and have tried to build guardrails for on my own are:

1. Faster load optimization for dashboards

2. Plain language recommendations for end users

With MI, you get both of those with minimal lifting. Data is smoothly joined together using Data Cloud and back-end semantic modeling, with minimal loading for calculated fields and other computing intensive processes in current MCI. Additionally, with generative AI suggestions and an agent to help you pause underperforming ads, end-users are no longer limited to looking at charts and figuring out what it means,—because actions are ready and available to springboard from on the page.

The Tool for Marketing Customization

Have you ever wanted to redefine your campaign names in reporting by extracting certain parts of your campaign names from across systems? Have you wanted to group different Google Analytics traffic sources and merge them against ad spending from the respective paid media platforms on an automated basis? What about renaming and grouping a set of campaigns based on criteria only you and your team know and then dynamically filtering for a handful of those campaigns?

That’s the sort of fun I love to explore with clients, and it’s back in full force in MI with processes like patterns to extract data points from various fields, calculated fields in the semantic layer, and the normalization processes Einstein brings to the table.

A New Era

Marketing Intelligence launched on March 18th (with Data Cloud and MI licenses required). Talk to your account executive to explore this new product. Marketing Intelligence is going to be the gateway into a new world of dashboarding intelligently (no pun intended) and is sure to streamline data for marketers in ways that have only been hinted at by Marketing Cloud Intelligence previously. I know I’m excited to take this ride, and I hope you’ll join me!

Analytics & Reporting, Industry News, Marketing Automations, Marketing Cloud, New Features, Release Notes, Setup & Admin, Strategy, Technology
February 17, 2025

Cracking the Code: How Opportunity Influence Connects Marketing to Revenue

Cara Weese

Product Note: Marketing Cloud Growth and Advanced are editions of Marketing Cloud Next and have also been referred to as Agentforce Marketing.

Marketing Cloud on Core (also known as Marketing Cloud Growth or Advanced Edition) can now track how marketing efforts contribute to revenue! With the Spring ‘25 release, Salesforce introduced Opportunity Influence, helping businesses connect marketing engagement to pipeline and revenue. But how does it work, and what’s the difference between Opportunity Influence and Campaign Influence? Let’s dive in!

Opportunity Influence vs. Campaign Influence: What’s the Real Deal?

Before we break down how to customize and report on Opportunity Influence, let’s clarify how it differs from Marketing Cloud Account Engagement’s Customizable Campaign Influence. While both models aim to connect marketing efforts to revenue, they function in distinct ways and serve different use cases.

Feature	Opportunity Influence	Campaign Influence
Data Source	Marketing Cloud Engagement (emails, ads, automation, etc.)	Salesforce Campaign Membership
Influence Scope	Tracks engagement across multiple touchpoints	Tracks Leads/Contacts who are Salesforce Campaign Members
Integration	Syncs Marketing Cloud engagement data to Salesforce Opportunities	Works within Salesforce CRM using Campaigns and Opportunities
Attribution Models	Multi-touch attribution (first-touch, last-touch)	Campaign Influence and Customized Models
Reporting & Insights	Measures marketing-driven revenue impact	Measure campaign-driven revenue impact

🚨 Important Note for Account Engagement Users 🚨

You cannot use Opportunity Influence alongside Customizable Campaign Influence. If your team already relies on Account Engagement’s Campaign Influence Models, keep this in mind when deciding which model to use.

Additionally, Account Engagement users cannot activate Opportunity Influence as it does not currently integrate with Account Engagement’s Campaign Influence model. If your organization currently tracks marketing-driven revenue using Campaign Influence reports, you’ll need to continue using that model. However, if you’re considering a shift to Marketing Cloud on Core, Opportunity Influence could offer enhanced multi-touch attribution and engagement tracking.

Battle of Influences: Campaign vs. Opportunity – Which One Wins?

Let’s say you’re running a B2B software company and you’ve executed multiple marketing campaigns using a variety of platforms, including ads, email, an e-book, and a webinar, to engage your prospects.

Campaign Influence: A prospect attends the webinar, clicks on an email, and downloads the e-book before being transitioned to sales as a marketing-qualified lead. These interactions are recorded under a Salesforce Campaign and can be manually associated with the Opportunity when created based on the Opportunity Contact Role and Campaign Member. You can assign influence weight based on your customized rules.
Opportunity Influence: Marketing Cloud on Core automatically tracks all marketing engagement, including the ad view and click, webinar attendance, and e-book download. These touchpoints are automatically associated to attribute influence based on the predefined model and associated to the Opportunity upon creation.

If Campaign Influence were a fine-dining experience, it would be a chef-curated meal—meticulously crafted with manual customization to fit your exact taste. You decide which interactions get the most credit, but it requires hands-on effort. On the other hand, Opportunity Influence is like an all-you-can-eat buffet with an expert chef behind the scenes. It automatically dishes out credit across touchpoints, giving you a full spread of marketing influence with minimal effort. If you love precision and control, Campaign Influence is for you. But if you want a seamless, automated view of your entire marketing impact, Opportunity Influence takes the crown.

How to Set Up Opportunity Influence

Setting up Opportunity Influence requires configuration in Sales Cloud to ensure marketing engagement is properly attributed to revenue-generating activities. To fully connect marketing efforts with sales outcomes, ensure that contacts engaging with marketing campaigns are linked to Opportunities. This allows for accurate tracking of marketing interactions that influence deals.

Enabling Opportunity Influence

Navigate to Salesforce Setup > Opportunity Influence
Enable Opportunity Influence
Select an Attribution Model
- First-Touch: Gives full credit to the first marketing engagement that led to the opportunity. It’s ideal for understanding which top-of-funnel efforts drive initial interest.
- Last-Touch: Assigns full credit to the last marketing interaction before the opportunity was created. It helps measure the final push that converted a lead into an opportunity.

Going Beyond Activation

Customization is key to maximizing Opportunity Influence. Marketers should align influence models with their sales cycle, ensuring critical marketing touchpoints, such as email engagements, paid ads, and automation journeys, are correctly captured. Because Opportunity Influence consumes Data Credits, it’s essential to be strategic when enabling multiple models to avoid unnecessary credit usage.

Making Sense of Your Data: Reporting on Opportunity Influence

Once Opportunity Influence is enabled and tracking data, you can start reporting on marketing’s impact. The key to unlocking valuable insights is leveraging Salesforce’s Reports & Dashboards to tell a clear story about how marketing drives revenue.

Your Treasure Map to Salesforce Reports & Dashboards

Head over to Salesforce Reports and search for Opportunity Influence Reports. This is your go-to hub for seeing which marketing touchpoints are helping close deals.
Get specific with your insights! Use filters to refine reports by timeframe, campaign, or opportunity. Want to know which emails led to the most revenue? Adjust your filters to see the impact.
Create Salesforce Dashboards to visualize Opportunity Influence. Need a quick snapshot for your leadership team? Build an easy-to-read chart that shows exactly how marketing is fueling revenue.

The Ultimate Guide to Opportunity Influence Report Types

Salesforce provides several built-in report types to help you analyze how marketing efforts contribute to revenue. Here are the key report types you can use:

Opportunity Influence Summary Report – This high-level report shows how marketing engagements are influencing revenue across all opportunities. Use it to track overall marketing impact.
Opportunity Influence Detail Report – A more granular report that breaks down individual touchpoints per opportunity, allowing you to analyze which specific marketing interactions played a role in closing deals.
Influence Attribution Model Comparison Chart – Compare first-touch and last-touch models side by side to see which one provides the best insights for your marketing strategy.
Marketing Touchpoint Analysis Report – Identifies which marketing channels (email, ads, website visits, etc.) are contributing the most to opportunity creation and pipeline growth.

By setting up and analyzing Opportunity Influence reports, marketing teams can gain deeper insights into which touchpoints matter most, optimize their strategies accordingly, and confidently demonstrate their return on investment.

Why Opportunity Influence is a Game-Changer

Opportunity Influence is a must-have tool for any marketing team looking to measure true revenue impact. No more guessing which emails, ads, or landing pages are driving pipeline – Opportunity Influence connects the dots, giving you a clear picture of how marketing fuels business growth. With built-in attribution models, you can customize insights based on what matters most to your strategy.

Whether you’re aiming to prove marketing ROI, optimize your campaigns, or align better with sales, Opportunity Influence provides automated, data-driven attribution that simplifies reporting and enhances decision-making. If you want better visibility into marketing’s role in revenue generation, this feature is your new best friend!

💡Next Steps:

Check your org to see if the new update is available.
Test Opportunity Influence tracking before rolling it out company-wide.
Monitor data service credit usage if you’re using multiple attribution models.

📣 Want to learn more? Check out the full Spring ‘25 release highlights or dive into the official release notes.

🚀 What are your thoughts on Opportunity Influence? Drop a comment below, and let’s discuss!