Salesforce Marketing Cloud Archives

04Mar

Salesforce Marketing Cloud Growth Edition for Personalization

Why Personalized Marketing Matters Personalized marketing is a game-changer for inceased customer engagement and business growth. According to a recent study, it can boost ROI by up to 20%. Yet, many marketers struggle to execute effective personalization due to fragmented data and lack of alignment across teams. To overcome these challenges, marketers must build a solid data foundation, leverage AI-driven segmentation, and utilize dynamic content strategies. This Tectonic insight outlines the essential steps to achieving personalized marketing at scale. Step 1: Build a Unified Data Foundation Marketers today have access to more data than ever before—from CRM and sales data to digital advertising, ERP, transactional, and accounting data. The challenge is unifying these sources to create a single operational customer profile. Without this, analyzing customer behavior and delivering personalized experiences is nearly impossible. How to Get Your Data in Order: Centralize customer data across teams using Marketing Cloud Growth and Advanced Editions, built on the Salesforce platform. Leverage AI-powered insights to optimize real-time personalization. Establish a “single source of truth” to align marketing, sales, and service teams. A strong data foundation not only fuels better AI-driven personalization but also enhances analytics and campaign performance. Step 2: Use AI to Segment with Precision Segmentation is the backbone of personalized marketing, allowing marketers to tailor campaigns based on customer behavior, demographics, and engagement levels. Traditionally, segmentation was a manual, time-consuming process. However, AI has revolutionized this process by enabling natural language-based segment creation. How AI Improves Segmentation: Eliminates the need for SQL expertise, making segmentation accessible to all marketers. Generates precise audience segments based on engagement and fit scores. Leverages harmonized operational profiles to build complex, data-driven segments. With AI-driven segmentation, marketers can create hyper-targeted campaigns that resonate with their audience, increasing engagement and conversion rates. Step 3: Implement Engagement and Fit Scoring One of the most effective ways to enhance personalization is by scoring leads and contacts based on their engagement and fit with your ideal customer profile. This approach helps prioritize high-value prospects and ensures marketing efforts are focused on the right audience. Understanding Engagement Scoring: Engagement Scoring evaluates how actively leads and contacts interact with your marketing campaigns. This includes actions like email clicks, form submissions, and website visits. Key Metrics Used in Engagement Scoring: Email Engagement (e.g., Click, Unsubscribe) Website Engagement (e.g., Form Submission, Button Click) Message Engagement (e.g., Subscribe, Unsubscribe) Understanding Fit Scoring: Fit Scoring assesses how well a lead or contact aligns with your ideal customer profile. This includes demographic, firmographic, and behavioral data. Key Fit Scoring Criteria: Demographics: Age, gender, income level Firmographics: Industry, company size, revenue Behavioral Patterns: Purchase history, product usage Geographics: Location-based targeting Technographics: Technology stack compatibility Step 4: Use Dynamic Content Blocks for Hyper-Personalization Once your data is structured and segments are refined, the next step is delivering personalized content. Marketing Cloud Growth and Advanced Editions offer powerful tools like Cross-Object Merge Fields and Rule-Based Dynamic Content. How to Leverage These Tools: Cross-Object Merge Fields: Pull data from operational customer profiles to create more personalized messages (e.g., referencing a webinar attended or service case status). R ule-Based Dynamic Content: Display targeted text and images based on complex customer attributes (e.g., showing a specific image to customers in New York who attended a liveevent). These tools allow marketers to go beyond basic personalization, creating highly relevant and engaging experiences for their audience. Step 5: Combine Engagement and Fit Scoring for Optimal Results By integrating Engagement and Fit Scoring, marketers can create an overall marketing score that prioritizes the most valuable prospects. This score considers both interaction levels and alignment with the ideal customer profile. How to Implement Overall Scoring: Default weighting assigns 50% to Engagement Score and 50% to Fit Score. Scores range from 0 to 100, ensuring a balanced approach to prioritization. Customization allows businesses to adjust weighting based on their specific needs. This holistic scoring model ensures marketing efforts are directed toward leads that are both highly engaged and a great fit for your business. The Future of Personalized Marketing Personalization is no longer optional—it’s essential. Businesses that embrace advanced personalization techniques see a 10-30% increase in sales and customer retention rates. By implementing the strategies outlined in this guide, marketers can: Build a strong data foundation for AI-driven personalization. Use engagement and fit scoring to prioritize high-value leads. Deliver hyper-personalized content with dynamic marketing tools. With the right foundation, tools, and AI-driven insights, marketers can unlock the full potential of personalized marketing, driving stronger customer relationships and higher ROI. Now is the time to take action and position your business for sustained success in an increasingly competitive marketplace. incorporate this. Meet the all-new Salesforce Marketing Cloud Growth edition! Recently unveiled, this platform is designed specifically to empower small businesses by seamlessly integrating CRM, AI, and data within Salesforce’s trusted customer platform – Einstein. It promises to redefine marketing automation across sales, service, and commerce. Let’s explore how Marketing Cloud Growth is set to revolutionize the way small businesses approach marketing, enabling them to drive growth and efficiency like never before. Salesforce Marketing Cloud Growth Edition On February 20, 2024, Salesforce launched the Marketing Cloud Growth edition, aimed at empowering small businesses specifically with B2B marketing needs. With advanced marketing automation tools, powered by Einstein’s Generative AI and Data Cloud, this new edition simplifies marketing tasks, allowing businesses to concentrate on strategic growth. Salesforce Marketing Cloud Growth Edition integrates seamlessly with the core Salesforce platform, known as the Einstein 1 platform to provide users with easy access to all the robust features of Marketing Cloud within the broader Salesforce ecosystem. With the Marketing Cloud Growth edition, teams can efficiently: Unify various data sources via Data Cloud Create and deliver compelling content with Digital Experiences Automate complex customer journeys using Flow Builder Improve decision-making using Einstein’s intelligent analytics and predictions Marketing Cloud Growth edition is user-friendly and built directly on the Salesforce platform, eliminating the need for external connectors. However, it does not include some advanced features found in Marketing

March 4, 2025in AI Tools, Data, Einstein 1 Platform, Enterprise, Generative AI, Marketing Automation, Salesforce, Salesforce Flow, Salesforce Marketing Cloud, Technology0 Comments

03Mar

It is Time to Implement Data Cloud

With Salesforce Data Cloud you can: With incomplete data your 360-degree customer view is limited and often leads to multiple sales reps working on the same lead. Slow access to the right leads at the right time leads to missed opportunties and delayed closings. If your team cannot trust the data due to siloes and inaccuracies, they avoid using it. It is Time to Implement Data Cloud. Unified Connect and harmonize data from all your Salesforce applications and external data systems. Then activate your data with insights and automation across every customer touchpoint. Powerful With Data Cloud and Agentforce, you can create the most intelligent agents possible, giving them access to the exact data they need to deliver any employee or customer experience. Secure Securely connect your data to any large language model (LLM) without sacrificing data governance and security thanks to the Einstein 1 trust layer. Open Data Cloud is fully open and extensible – bring your own data lake or model to reduce complexity and leverage what’s already been built. Plus, share out to popular destinations like Snowflake, Google Ads, or Meta Ads. Salesforce Data Cloud is the only hyperscale data engine native to Salesforce. It is more than a CDP. It goes beyond a data lake. You can do more with Data Cloud. Your Agentforce journey begins with Data Cloud. Agents need the right data to work. With Data Cloud, you can create the most intelligent agents possible, giving them access to the exact data they need to deliver any employee or customer experience. Use any data in your organization with Agentforce in a safe and secure manner thanks to the Einstein 1 Trust Layer. Datablazers are Salesforce community members who are passionate about driving business growth with data and AI powered by Data Cloud. Sign up to join a growing group of members to learn, connect, and grow with Data Cloud. Join today. The path to AI success begins and ends with quality data. Business, IT, and analytics decision makers with high data maturity were 2x more likely than low-maturity leaders to have the quality data needed to use AI effectively, according to our State of Data and Analytics report. “What’s data maturity?” you might wonder. Hang tight, we’ll explain in chapter 1 of this guide. Data-leading companies also experience: Your data strategy isn’t just important, it’s critical in getting you to the head of the market with new AI technology by your side. That’s why this Salesforce guide is based on recent industry findings and provides best practices to help your company get the most from your data. Tectonic will be sharing a focus on the 360 degree customer view with Salesforce Data Cloud in our insights. Stay tuned. It is Time to Implement Data Cloud Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

March 3, 2025in Data, Einstein 1 Platform, Einstein Insights, Google, Salesforce, Salesforce Data Cloud, Salesforce Implementation Services, Snowflake, Technology0 Comments

25Feb

What is Salesforce Marketing Cloud?

Salesforce has strategically expanded its marketing technology tools over the years, integrating a range of powerful technology into its CRM platform. These acquisitions have empowered businesses to manage the full customer journey, enabling digital engagement at scale. Salesforce Marketing Cloud consists of five core product offerings: Let’s dig in to these products, their capabilities, and how they help marketers drive more personalized, data-driven engagement. Marketing Cloud Engagement (MCE) MCE is a robust, cross-channel marketing automation platform designed to create personalized customer journeys. It empowers marketers with AI-driven insights, enabling them to activate customer data and deliver dynamic content across multiple touchpoints, including email, SMS, WhatsApp, push notifications, digital ads, and the web. Built for scalability, MCE provides enterprise-grade reliability and deep integration capabilities. While often associated with B2C use cases, it’s flexible enough to support various business models. With its AI-powered automation and open architecture, MCE helps marketers drive customer lifetime value while optimizing campaign efficiency. Marketing Cloud Account Engagement (MCAE) MCAE, formerly Pardot, is Salesforce’s B2B marketing automation solution, aligning sales and marketing teams with a shared customer view. It streamlines lead management with AI-powered scoring, real-time campaign insights, and automation tools that help businesses prioritize leads and accelerate sales cycles. This platform enables businesses to nurture prospects effectively through email campaigns, landing pages, and web tracking while optimizing engagement and revenue growth. By unifying marketing and sales efforts, MCAE helps teams drive higher lead conversion and sales efficiency. Marketing Cloud Growth/Advanced Editions Designed for small to mid-sized businesses (SMBs), Marketing Cloud Growth and Advanced Editions provide AI-powered marketing capabilities tailored to organizations using Salesforce Sales or Service Cloud Enterprise/Unlimited editions. These editions leverage Salesforce Data Cloud and AI to simplify campaign creation, personalize customer interactions, and offer real-time marketing insights. Key features include Einstein Co-Create for asset generation, automated segmentation, and AI-driven email engagement optimization. As these editions continue to evolve, they will likely bridge the gap between B2B and B2C marketing automation, offering an integrated experience that scales with business needs. Marketing Cloud Personalization (MCP) MCP enables real-time, AI-powered personalization across customer interactions. It uses behavioral data and a unified customer profile to deliver tailored content, offers, and experiences at the right moment. MCP’s capabilities include: By reacting instantly to customer actions, MCP helps businesses increase conversion rates, order values, and customer loyalty. While it integrates with MCE, it operates as a standalone solution to enhance customer engagement strategies. Marketing Cloud Intelligence (MCI) MCI is Salesforce’s marketing analytics solution, designed to unify data across platforms and provide a single source of truth for marketing performance. With MCI, marketers can: MCI eliminates data silos, helping marketers make data-driven decisions that maximize ROI and customer engagement. It complements Salesforce’s analytics tools like CRM Analytics (CRMA) and Tableau but is specifically designed for marketing performance measurement. Marketing Cloud & Data Cloud: A Powerful Combination All Salesforce Marketing Cloud products connect with Salesforce Data Cloud, allowing businesses to enrich customer profiles with engagement data. This integration enables highly targeted segmentation, AI-driven personalization, and automated journey orchestration. By continuously refining customer insights, businesses can create a feedback loop that optimizes engagement and improves marketing effectiveness. This dynamic data sharing allows for real-time personalization at scale, fulfilling the promise of AI-driven marketing. Solving Today’s Marketing Challenges with Marketing Cloud Marketers today face significant challenges, including: Salesforce Marketing Cloud provides a flexible, AI-powered ecosystem that addresses these challenges. Businesses can combine different Marketing Cloud products based on their specific needs, such as using MCE or MCAE for automated journeys, MCP for AI-driven personalization, and MCI for unified performance tracking. By integrating these solutions, marketers can achieve higher engagement, improved ROI, and more efficient campaign execution. Salesforce Marketing Cloud Consulting with Tectonic Optimized marketing begins with unified data and AI-driven insights. At Tectonic, we specialize in configuring Salesforce Marketing Cloud in every flavor to align with your business objectives, ensuring success through: With deep expertise in Salesforce Data Cloud, AI, and marketing automation, Tectonic helps businesses unlock the full potential of Salesforce Marketing Cloud. Learn more about our consulting services or contact us to get started today. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

February 25, 2025in Agentforce Platform, Data, Enterprise, Marketing Automation, Salesforce, Salesforce Data Cloud, Salesforce Marketing Automation, Salesforce Marketing Cloud, Salesforce Marketing Cloud Account Engagement (Pardot), Salesforce Marketing Cloud Advertising, Salesforce Personalization, Technology0 Comments

25Jan

Empowering Nonprofits with Salesforce Technology

Nonprofit organizations face unique challenges, from managing donor relationships and tracking donations to optimizing operations and driving impactful campaigns. AgentForce by Salesforce is an AI-powered solution designed to address these needs, helping nonprofits streamline workflows, enhance donor engagement, and amplify their mission impact. Why Choose AgentForce for Nonprofit Organizations? AgentForce simplifies nonprofit operations by integrating donor management, program tracking, and fundraising tools into a single platform. This allows organizations to focus on what matters most—fulfilling their mission. Powered by AI and automation, AgentForce strengthens donor relationships, improves transparency, and supports data-driven decision-making. Key Benefits of AgentForce for Nonprofits Key Features of AgentForce for Nonprofits Why Partner with Tectonic? At Tectonic, we specialize in empowering nonprofits by implementing AgentForce to meet their unique needs. With a team of Salesforce-certified experts, we ensure seamless integration that maximizes the platform’s capabilities, helping you achieve your goals efficiently. How We Help Nonprofits Real-World Impact of AgentForce in Nonprofits Ready to Transform Your Nonprofit Operations? Empower your team, engage supporters, and amplify your mission impact with AgentForce by Salesforce. Contact Tectonic Today Schedule a free meeting to learn how AgentForce can revolutionize your nonprofit’s operations and help you achieve your goals. Let’s work together to make the world a nicer place! Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

January 25, 2025in Data, Salesforce, Salesforce Marketing Cloud, Technology

14Jan

Salesforce Marketing Cloud (SFMC) Connector

The Salesforce Marketing Cloud (SFMC) is a robust digital marketing platform designed to empower marketers with tools for automating campaigns across multiple channels. By integrating assets with SFMC, organizations can streamline workflows, accelerate campaign launches, and ensure consistent brand messaging. This integration eliminates process inefficiencies, enabling marketers to deliver personalized, engaging content quickly across diverse channels—keeping pace with the increasing demand for dynamic marketing strategies. Preparation Before Integration To ensure a smooth setup, verify the following: Installing and Setting Up the SFMC Connector Once installed, this connector allows seamless access to assets directly within SFMC, helping marketers drive efficiency and deliver impactful campaigns. 🔔🔔 Follow us on LinkedIn 🔔🔔 Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

January 14, 2025in Salesforce Marketing Cloud

07Jan

Why Choose Salesforce as Your Mortgage CRM?

Centralized Data Storage & Management Salesforce Mortgage CRM consolidates all your mortgage data into a single platform, offering a unified view of client information, loan details, and transaction history. This eliminates the confusion of scattered data, ensuring brokers have quick access to crucial information. For instance, if a client calls with questions about their loan, brokers can immediately retrieve accurate details, enhancing trust and improving the client experience. Accurate Loan Forecasting With AI-driven data analytics, Salesforce provides actionable insights into future loan opportunities, potential risks, and projected income. By analyzing historical data, brokers can predict client behavior, such as the likelihood of refinancing. This proactive approach allows brokers to deliver tailored offers, increasing conversions and client satisfaction. Seamless Collaboration & Secure Data Sharing Effective communication within an organization is essential, and Salesforce Mortgage CRM excels at connecting team members across locations and devices. Features like document management ensure efficient workflows through version control, rights management, and advanced search capabilities. Brokers can also share select records or documents securely with external stakeholders by granting limited access, ensuring confidentiality while streamlining the lending process. Top-Notch Security Salesforce Mortgage CRM prioritizes data security with multi-level protocols, including multi-factor authentication, data encryption, 24/7 monitoring, and an advanced Trust Layer. These features ensure that sensitive client information, such as financial and personal data, is safeguarded, fostering confidence among potential borrowers. Personalized Client Interactions Every client’s journey is unique, and Salesforce empowers brokers to deliver personalized experiences. For example, if a client’s fixed-rate term is nearing its end, Salesforce can automate outreach with refinancing options. This level of personalization improves client satisfaction and strengthens retention strategies. In-Depth Analytics and Visualization Salesforce offers robust analytics tools to provide mortgage professionals with insights into client behavior, market trends, operational performance, and risk factors. Interactive dashboards and customizable reports enable brokers to visualize metrics like loan-to-value ratios, debt-to-income ratios, and delinquency rates. These insights help streamline operations, improve profitability, and mitigate risks. Automation and AI-Powered Assistance Salesforce integrates cutting-edge AI tools to automate routine tasks, segment clients, and deliver tailored recommendations. Brokers can use these tools to identify refinancing opportunities, streamline workflows, and increase efficiency. While advanced AI features may require premium subscriptions, Salesforce also provides no-code automation capabilities. Tools like Salesforce Flow allow users to create automated workflows for tasks such as data entry, follow-ups, and approvals. For complex workflows, Flow Orchestrator enables brokers to coordinate multi-step processes seamlessly. These automation features eliminate manual tasks, freeing brokers to focus on high-value activities. Streamline Your Lending Process with Salesforce Mortgage CRM Whether you’re looking to centralize your data, enhance client relationships, or improve operational efficiency, Salesforce Mortgage CRM offers a comprehensive solution. Its combination of AI, analytics, and automation ensures that your team can work smarter, not harder. Ready to transform your mortgage business? Let Salesforce help you achieve greater efficiency and client satisfaction today. Unlock the Full Potential of Mortgage Lending with Salesforce Mortgage CRM Automation Without AI Salesforce Mortgage CRM streamlines repetitive tasks through its no-code automation capabilities, removing the need for AI. Salesforce Flow allows brokers to create automated workflows triggered by specific events, such as follow-up tasks, reminders, or status updates. For more intricate workflows, Flow Orchestrator provides seamless coordination for multi-step processes, including approvals, ensuring a smooth lending experience. Whether sending monthly statements or routing documents between stakeholders in the approval process, Salesforce Mortgage CRM automates these tasks based on your predefined rules. For enterprises, Financial Services Cloud (FSC) offers pre-built templates to manage mortgage applications. For SMBs, building tailored flows from scratch can be a more efficient and cost-effective solution, offering greater customization without overpaying for unused FSC features. An excellent example of Salesforce’s versatility is integrating scheduling tools like Calendly with borrower portals built in Experience Cloud. These portals allow clients to book appointments while considering time zone differences and send automated reminders, ensuring seamless borrower engagement. Platform Customization and Scalability Salesforce is an agile platform that adapts to your business needs. Need custom fields for underwriting criteria? A new object to track loan pipeline opportunities? Or automated workflows to manage approvals? Salesforce’s intuitive point-and-click configuration tools empower you to customize your system without complex coding, making it a perfect fit for businesses of any size. Seamless Integration with Third-Party Tools Salesforce’s vast ecosystem, powered by the AppExchange, offers over 7,000 add-ons to enhance your CRM’s functionality. From digital signature solutions to mortgage rate comparison tools, these integrations eliminate the need for extensive custom development. If your unique needs aren’t met by existing options, Salesforce’s certified AppExchange partners can help create tailored solutions. Salesforce Products Tailored for Mortgage Lending Firms 1. Financial Services Cloud (FSC) FSC is purpose-built for the financial services industry, including mortgage lending. It provides a 360-degree view of clients, integrating their financial holdings, activities, and loan details. With FSC, lenders can offer personalized recommendations, streamline the underwriting process, and stay compliant with industry regulations using built-in risk management tools. 2. Marketing Cloud Account Engagement (Pardot) Pardot empowers lenders to engage potential borrowers effectively. For example, a mortgage firm targeting first-time homebuyers can use Pardot to create automated, personalized email campaigns, nurturing leads with tailored content about loans, interest rates, and homebuying tips.Real-time insights and Einstein-powered predictive lead scoring help mortgage professionals prioritize high-value leads and track engagement through detailed campaign performance metrics, such as Multi-Touch Attribution Reports. 3. Experience Cloud For mortgage firms looking to provide a self-service option, Experience Cloud allows for building custom portals and websites. Borrowers can use these portals to upload documents, track application statuses, and access loan details. The drag-and-drop design tools and pre-built templates make it easy to create branded, user-friendly interfaces without requiring extensive coding. 4. Service Cloud Customer service is critical in the mortgage process, and Salesforce Service Cloud enhances this experience with omnichannel support across email, chat, and phone. Borrowers can quickly get answers to questions about their applications, while automation retrieves and shares relevant data instantly. This improves response times, reduces manual effort, and ensures borrowers receive

January 7, 2025in AI Tools, Data, Enterprise, Salesforce, Salesforce Development Services, Salesforce Experience Cloud, Salesforce Financial Services Solutions, Salesforce Flow, Salesforce Marketing Cloud, Salesforce Service Cloud

03Jan

How Agentforce Augments Marketing Cloud

Key Features of Salesforce Agentforce for Marketing and Marketers AI-Powered Assistance: Agentforce leverages AI to automate and optimize marketing tasks, allowing your team to focus on strategic initiatives. From generating campaign plans to analyzing metrics, Agentforce acts as your trusted assistant working around the clock with nary a coffee break. Omnichannel Support: Engage with customers across multiple platforms, including email, social media, and messaging apps like WhatsApp. Agentforce ensures a consistent and personalized experience at every touchpoint. Recognizing your prospect and customer throughout every interaction. Real-Time Analytics and Reporting: Gain in-depth insights into your marketing performance with real-time analytics. Agentforce helps you track key metrics and make data-driven decisions to improve your campaigns. Integration with Salesforce CRM: Seamlessly connect Agentforce with your existing Salesforce CRM to leverage customer data and create more targeted and effective marketing strategies. Proactive Customer Engagement: Agentforce enables personalized, two-way conversations with customers, helping you build deeper relationships and reduce churn through proactive retention strategies. Added Value of Integrating Agentforce with Salesforce Marketing Cloud The integration of Agentforce with the Salesforce Marketing Cloud platform, whether you choose the Growth or Advanced edition, brings several benefits: Enhanced Personalization: With the power of AI and unified customer profiles, you can deliver highly personalized content and offers across every customer interaction. Scalability and Efficiency: The Growth edition supports companies looking to scale their marketing efforts with powerful data tools and content management features. The Advanced edition offers additional tools for deeper insights and more sophisticated customer engagement strategies. Seamless Campaign Management: Both editions provide tools to create, deploy, and adapt campaigns faster, with Agentforce helping to surface insights, define strategy, and generate content. Improved Customer Journeys: Use intelligent reprioritization and real-time interaction management to enhance customer journeys and drive better engagement. Elevating Customer Experience with AI-Powered Marketing Offering a great product or service is important—but have you considered how your customers feel when they engage with your brand? Beyond features and pricing, the real differentiator is the experience you create. How the customer experiences your company can be more impactful than how they experience your product or service. Salesforce research reveals that 80% of customers value their experience with a company as much as the products or services themselves. It’s not just about what you have to offer; it’s about how you make people feel at every interaction. Because in today’s competitive marketplace, customers don’t just buy products—they invest in experiences. In the go-to-market space, Salesforce Agentforce is redefining the Marketing Cloud experience by making customer interactions more intelligent, personalized, and human-like than ever before—all powered by AI. Imagine a marketing strategy where every interaction—every click, every purchase—delivers actionable insights instead of guesswork. This is the future of AI-driven marketing. In fact, recent research found that nearly half (46%) of financial services firms leveraging AI report enhanced customer experiences. With AI-driven automation, conversational intelligence, and predictive analytics, Agentforce helps businesses engage customers at the right time, in the right way, and on the right platform—building deeper, more meaningful relationships. Salesforce’s Ongoing Relationship with Data Since pioneering cloud-based CRM in 1999, Salesforce has been relentless in its pursuit of data-driven experiences. Over time, its capabilities have expanded far beyond traditional CRM, culminating in the Salesforce Data Cloud—a unified data platform that consolidates insights across Sales, Service, Commerce, and Marketing. Data, especially the data we use for ongoing marketing, lives in various platforms like email, advertising tools, social media, analytics, CRMs, and perhaps even spreadsheets. And it is completely unstructured. What began as a Data Management Platform has evolved into a real-time decision-making engine. By integrating Agentforce AI, Data Cloud moves beyond just storing information—it enables businesses to act on real-time insights with automation and intelligence that move deals closer to the goalpost. Meet Agentforce: Humanizing AI in Marketing Cloud At the heart of AI-driven marketing transformation is quality data—which is why Einstein AI is built on Salesforce Data Cloud. “AI is only as good as the data that powers it, and Salesforce is where thousands of companies across industries manage their sales, service, marketing, commerce, and IT data,” says Jayesh Govindarajan, Salesforce SVP of AI & Machine Learning. “That’s an advantage for Salesforce customers because they can use their existing data to create and deliver AI-generated content at scale, seamlessly within their current workflows.” With Agentforce, businesses go beyond access to data—they gain an AI partner that understands how to foster authentic customer connections. How AI is Humanizing the Marketing Experience Instead of generic messaging, Agentforce crafts and delivers hyper-personalized content, offers, and recommendations—at scale. The Future of AI-Driven Marketing is Here With Agentforce, Salesforce Data Cloud, and Einstein GPT, businesses can move beyond static campaigns and embrace dynamic, AI-driven experiences that feel authentic, intuitive, and deeply personal. The next era of marketing isn’t just about automation—it’s about delivering humanized AI experiences that drive lasting customer relationships. The evolution of Einstein, GPT, AI, and Data on top of a powerful marketing platform is the future of AI-driven marketing. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

January 3, 2025in Agentforce Platform, Data, Salesforce, Salesforce Data Cloud, Salesforce Marketing Cloud

23Nov

Marketing Cloud Template Editing

It sounds like you’re working with a Template-Based Email in Salesforce Marketing Cloud, and you’re encountering a locked template that limits direct edits. The lock icon in the top-left corner indicates that you can’t modify certain elements directly within the email editor.

November 23, 2024in Salesforce Marketing Cloud, Salesforce Optimization, Salesforce User Questions

08Nov

Email Nurture Guide

Nurture marketing significantly increases the chances that your ideal buyers will consider your products or services when they’re ready to purchase.

November 8, 2024in Data, Salesforce Marketing Cloud, Salesforce Marketing Cloud Account Engagement (Pardot)

25Oct

TrueDialog Adds SMS Application for Salesforce Marketing Cloud Engagement

TrueDialog Unveils SMS Integration for Salesforce Marketing Cloud

TrueDialog, a leader in SMS texting solutions, has expanded its Salesforce offerings with the launch of its SMS integration for Salesforce Marketing Cloud Engagement, complementing its existing Sales Cloud application. Now available on Salesforce AppExchange, this addition enables seamless documentation of SMS activities across the Salesforce Cloud ecosystem.

With TrueDialog’s integration for Salesforce Marketing Cloud, companies can incorporate SMS into customized, targeted marketing journeys. This includes sending promotional messages, geo-targeted offers, triggered alerts, order confirmations, account updates, and more—all as part of a cohesive customer engagement strategy.

TrueDialog’s solution uniquely enables SMS message flow across Salesforce Marketing Cloud, Sales Cloud, Service Cloud, and Education Cloud, ensuring communication continuity across platforms. “TrueDialog is the only provider offering bidirectional SMS integration between Salesforce Marketing Cloud and other Salesforce Clouds, including Sales, Service, Commerce, and Education Clouds,” said John Wright, CEO of TrueDialog. “Our solution records text messages on all relevant Salesforce Clouds, maintaining communication continuity between companies and their customers—something no other provider offers.”

The TrueDialog SMS application is fully native to Salesforce Marketing Cloud, allowing users to work within their regular workflow without switching applications to integrate SMS steps. TrueDialog also offers flexible options for short and long codes, automated 10DLC registration for long codes, and TrueDelivery, a tool for assessing SMS deliverability.

October 25, 2024in Salesforce Marketing Cloud

21Oct

How Skechers Solved Its Ecommerce Challenges

Skechers Boosts Direct-to-Consumer Sales with Ecommerce Platform Upgrades Skechers, now a global brand in 2024, credits its recent ecommerce platform upgrades for saving time and increasing direct-to-consumer sales. However, it wasn’t always equipped with the right technology to support its massive growth. During Salesforce’s Dreamforce conference in San Francisco, Eric Cheng, Skechers USA Inc.’s director of ecommerce architecture, shared insights into how key technology decisions helped the brand expand and enhance its website and content capabilities. “Today, we’re present in over 180 countries worldwide,” Cheng said, speaking on stage at the Moscone Center. Skechers’ journey began in 1992, and its expansion has taken the brand across borders, reaching millions of customers worldwide. “We connect hundreds of millions of customers through our retail stores and ecommerce platform to deliver a unique experience,” Cheng noted, emphasizing the need to meet the diverse demands of each market. Skechers ranks No. 273 in the Top 1000, Digital Commerce 360’s ranking of the largest North American e-retailers by online sales, where it is categorized as an Apparel & Accessories retailer. Digital Commerce 360 projects that Skechers will reach 0.65 million in online sales by 2024. Ecommerce Platform Challenges Cheng acknowledged that Skechers’ digital transformation wasn’t immediate: “The journey did not just happen overnight; it took time and effort.” Skechers faced challenges in three key areas: content management, scalability, and customer experience. The legacy system was inadequate, lacking robust tools for efficient content delivery, previewing scheduled content, and handling localization. As Cheng described, launching a marketing page often required the content team to be on standby at midnight—an unsustainable approach for 17 countries. How Skechers Solved Its Ecommerce Challenges To overcome these hurdles, Skechers partnered with Astound Digital. Together, they implemented Salesforce Service Cloud and Manhattan Active Omni for order management. Kyle Montgomery, senior vice president of commerce at Astound Digital, joined Cheng on stage and highlighted the goal: “Their vision was to unify, supply, and scale.” This transformation enabled Skechers to bring 17 countries in Europe, Japan, and North America onto a single platform. Jennifer Lane, Salesforce’s director of success guides, also emphasized the flexibility achieved using Salesforce’s Page Designer and localization solutions from Salesforce’s AppExchange. Integrations with Thomson Reuters for tax, CyberSource for payments, and Salesforce Marketing Cloud for personalization further enhanced Skechers’ capabilities. The Results Cheng highlighted three key improvements after the ecommerce overhaul. First, content creation and localization tools improved operational efficiency by over 500%. The time to launch in new markets was dramatically reduced from five months to just a few weeks. Additionally, Skechers saw a notable sales boost, with a 24.5% increase in its direct-to-consumer segment during Q1 2023. Skechers’ success demonstrates the significant impact of a well-executed ecommerce platform upgrade, allowing the brand to scale globally while improving customer experience and operational efficiency. Contact Tectonic to learn what Salesforce can do for you. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

October 21, 2024in Google, Salesforce, Salesforce Marketing Cloud, Salesforce Service Cloud, Technology

14Oct

Case Study: Children’s Hospital Use Cases

In need of help to implement requisite configuration updates to establish a usable data model for data segmentation that supports best practices utilization of Marketing Cloud features including Contact Builder, Email Studio and Journey Builder.

October 14, 2024in Data, Google, Life Sciences Cloud, Salesforce, Salesforce Development Services, Salesforce Health and Life Sciences Solutions, Salesforce Health Cloud, Salesforce Implementation Services, Salesforce Marketing Cloud, Salesforce Shield, Salesforce Success Stories

09Oct

Marketing Cloud Website Activity Collection

Leveraging Website Activity Data in Salesforce Marketing Cloud Understanding how users interact with your website is essential for delivering personalized customer experiences. Salesforce Marketing Cloud (SFMC) offers robust tools to capture website activity and transform this data into actionable insights, enhancing your marketing strategies. This guide walks you through the process of collecting website activity data in SFMC. Marketing Cloud Website Activity Collection Before diving into the setup process, it’s important to understand the benefits of collecting website activity data: Now, let’s explore how to set up website activity tracking in Salesforce Marketing Cloud. Set Up Marketing Cloud Website Activity Collection Step 1: Install Salesforce Marketing Cloud Tracking Code To begin collecting website activity, install the Salesforce Marketing Cloud tracking code on your website. Known as the “Web Collect” code, this script captures visitor behavior data and sends it to SFMC. Step 2: Configure Data Extensions After installing the tracking code, set up data extensions in SFMC to store the website activity data you collect. Step 3: Set Up Behavioral Triggers To maximize the value of your data, set up behavioral triggers in SFMC. These triggers can automatically send personalized communications based on specific website actions. Step 4: Leverage Advertising Studio for Retargeting To further enhance your marketing efforts, use Advertising Studio to create retargeting campaigns based on website activity data. Step 5: Monitor and Optimize After setting up website activity tracking, regularly monitor the performance of your campaigns and the quality of your collected data. Final Thoughts Collecting website activity data in Salesforce Marketing Cloud enables you to understand customer behavior better and deliver more personalized experiences. By following these steps—installing the tracking code, configuring data extensions, setting up behavioral triggers, and leveraging retargeting—you can effectively harness website activity data to elevate your marketing efforts. Start implementing these strategies today to unlock the full potential of Salesforce Marketing Cloud and drive deeper engagement and conversions. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

October 9, 2024in Analytics Builder, Data, Google, Salesforce, Salesforce Marketing Cloud

09Oct

Marketing Cloud and Commerce Cloud Innovations

What Our Dreamforce Marketing Cloud and Commerce Cloud Innovations Mean for You This year’s Dreamforce was nothing short of amazing. It was exciting to reconnect with fellow Trailblazers, exchange brilliant ideas, and showcase the innovations we’ve been crafting at Salesforce. A recurring theme throughout the event was how businesses can leverage data and AI to forge deeper customer-driven relationships by bringing internal teams closer together. These innovations are designed to transform not only how companies engage with customers but also how their teams work together. Marketing Cloud and Commerce Cloud Innovations. Seamless integration between Marketing, Commerce, Sales, and Service teams is crucial for creating unified customer experiences. Often, customers feel as though they are interacting with separate departments rather than one cohesive company—this is largely due to disconnected technology and processes. But thanks to Salesforce’s advancements in unified data, AI, and automation, those days are numbered. Now, departments can collaborate more effectively, delivering hyper-personalized, frictionless experiences across the entire customer lifecycle. Let’s explore the latest Marketing Cloud and Commerce Cloud innovations announced at Dreamforce 2024 and how they can benefit your business. What You’ll Learn Salesforce Marketing Cloud Innovations These four innovations in Marketing Cloud are built on the Salesforce Platform and powered by Data Cloud, offering marketers a seamless view of customer data across the business. This foundation makes it easier to deliver unified customer experiences, improve handoffs between teams, and measure success more effectively. 1. Agentforce Embedded in Marketing Workflows Agentforce for Marketing combines generative and predictive AI to create an end-to-end campaign experience that marketers can launch and optimize with ease. Here’s how it helps: Example: A marketer looking to prevent customer churn can launch a re-engagement campaign. Agentforce will identify the right audience, craft personalized messages, and optimize delivery based on customer behavior. 2. Empowering Small and Medium Businesses The new Marketing Cloud Advanced Edition brings enhanced AI and automation capabilities to SMBs, enabling them to scale personalization and improve productivity: 3. Automating Data Preparation and Analytics with Einstein Marketing Intelligence (EMI) EMI uses AI and Data Cloud to automate the ingestion, transformation, and analysis of marketing data: 4. Einstein Personalization for 1:1 Experiences Einstein Personalization uses AI to recommend products, content, or services based on individual customer preferences: Example: A service agent could offer a discount on a product a customer was recently viewing, creating a seamless, personalized experience. Salesforce Commerce Cloud Innovations As businesses scale and handle increasing amounts of data, managing complex commerce systems can be a challenge. The new Commerce Cloud updates simplify these complexities by extending unified commerce capabilities across the organization. 1. Simplifying Cross-Functional Commerce Tasks By unifying data from across the business, Commerce Cloud enables better cross-functional collaboration: 2. AI-Powered Commerce Agents with Agentforce Commerce Cloud introduces three AI-powered agents to streamline business processes: 3. Streamlining Checkout for a Faster, Easier Experience With new express payment options like Link by Stripe and Amazon Pay, Commerce Cloud Checkout speeds up transactions and improves conversion rates by 14%. Plus, Buy with Prime integration allows shoppers to use their Amazon Prime accounts for a faster checkout experience, complete with trusted delivery and hassle-free returns. The Future of Unified Commerce Salesforce Commerce Cloud offers a unified platform that brings together sales, service, and marketing, providing a 360-degree view of the entire customer journey. This unified commerce approach enables businesses to deliver seamless B2B and B2C experiences, all powered by a single platform. By integrating enterprise-wide data, trusted AI, and automated workflows, Salesforce helps businesses scale personalized, intelligent experiences across every touchpoint. Every interaction becomes an opportunity for growth, setting the standard for success in today’s customer-driven world. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

October 9, 2024in Data, Enterprise, Salesforce, Salesforce Commerce Cloud, Salesforce Marketing Cloud, Technology

08Oct

Data Cloud Model

While many Salesforce products like Sales Cloud, Service Cloud, Education Cloud, Health Cloud, and various industry clouds are built on a common ‘core’ platform that shares the same datastore (an Oracle relational database), Salesforce Data Cloud operates on (Data Cloud Model) a distinct architecture and technology stack. This insight explores the data models and related concepts that underpin the platform. Data Cloud Architecture and Storage Starting with the storage layer, Salesforce Data Cloud integrates multiple services: This combination enables Data Cloud to provide a petabyte-scale data store, overcoming the scalability and performance constraints of traditional relational databases. The physical architecture of Data Cloud is represented as a set of data objects, which form the foundation for how data is ingested, harmonized, and activated within the platform. Key Data Cloud Objects Data Source A Data Source is the initial data layer in Data Cloud, representing an external platform or system from which your data originates. Data Sources can include: Data Stream A Data Stream is an entity extracted from a Data Source, such as ‘Orders’ from Commerce Cloud, ‘Contacts’ from Sales Cloud, or ‘Subscribers’ from Marketing Cloud. Once a Data Source is connected to Data Cloud, Data Streams provide access to these entities and require assignment to a category: Profile, Engagement, or Other. A single Data Source can contain multiple Data Streams. Data Source Object (DSO) Data Streams are ingested into Data Source Objects (DSOs), which serve as temporary staging stores containing data in its raw, native format (e.g., CSV files). Minor transformations can be applied to fields during data ingestion. Data Lake Object (DLO) The next step in the data flow is the Data Lake Object (DLO). DLOs are typed, schema-based, materialized views that reside in the data lake (Amazon S3) and are generally stored as Apache Parquet files. This format, along with Apache Iceberg’s abstraction layer, supports efficient data storage and retrieval. DLOs are the first objects available for inspection and preparation of data, including field mapping and additional transformations. Data Model Object (DMO) Unlike DSOs and DLOs, which use a physical data store, Data Model Objects (DMOs) provide a virtual, non-materialized view into the data lake. Queries against a DMO return results based on the current data snapshot in DLOs, without storing them. DMOs can aggregate attributes from different Data Streams, Calculated Insights, and other sources. DMOs inherit their category from the first DLO mapped to them, and only DLOs with the same category can be mapped to the DMO. Like Salesforce objects, DMOs offer a canonical data model with pre-defined attributes (standard objects), and you can also create custom DMOs (custom objects). DMOs can have one-to-one or many-to-one relationships with other DMOs. Currently, there are 89 standard DMOs in Data Cloud, and this number is growing to support more use cases. DMOs are organized into various subject areas, including: Data Spaces Data Spaces offer logical partitions, allowing data to be segregated between different brands, regions, or departments, without the need for multiple Data Cloud instances. They also align with a Software Development Lifecycle (SDLC), enabling you to stage and test Data Objects in separate environments without affecting production data. Data Sources, Data Streams, and DLOs can be shared across Data Spaces, while DMOs and other platform features are isolated based on user permissions. Final Thoughts With the drop in storage costs and advancements in technology, companies now have vast datasets at their disposal. Every customer interaction, whether it’s a purchase, an email open, or a web page view, can be captured and stored. When properly organized, this data allows businesses to understand customers better, predict their needs, personalize interactions, and much more. However, one of Salesforce’s challenges is that its original platform, built over 20 years ago, was designed for a different era and struggles with handling voluminous, “big” data. Salesforce Data Cloud addresses these limitations with a modern architecture that overcomes the constraints of relational databases. Data Cloud is poised to become the backbone of the Salesforce platform, supporting the data needs of customers and products for the next two decades. If you’re interested in learning how to implement and integrate Salesforce Data Cloud in your organization, following best practices, reach out today. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

October 8, 2024in Data, Google, Salesforce, Salesforce Data Cloud, Snowflake, Technology, Unified Knowledge

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