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Marketing Cloud Enhancements 2024

Marketing Cloud Enhancements 2024

Salesforce has introduced several important feature enhancements over the past year, enhancing the capabilities of Marketing Cloud and other tools. Marketing Cloud Enhancements 2024. Here’s an overview of the most impactful updates: Generative AI for Marketing Cloud Generative AI can now be integrated into Marketing Cloud to create brand-specific content that resonates with your audience. This technology allows businesses to project their unique voice and style while reducing the time spent on content creation. Using Einstein generative AI, you can craft subject lines and body copy directly within Einstein Copy Insights and Content Builder. In Copy Insights, you can test, copy, and download AI-generated content, while Content Builder enables seamless content creation for marketing messages. You can also leverage the Typeface integration to generate on-brand images alongside the text, further enhancing your content strategy. Salesforce’s Einstein Trust Layer ensures data privacy and security, preventing potential data breaches while using generative AI features, providing a safer alternative to external AI platforms. Enabling Einstein Generative AI To get started with Einstein generative AI, enable both Einstein Copy Insights and the generative AI features in Marketing Cloud Setup. You can customize content based on your organization’s brand identity by using Brand Center to define personalities like “Professional” or “Casual” or create up to 10 custom personalities. This allows you to ensure all AI-generated content aligns with your brand’s voice. Crafting Subject Lines and Body Copy With Einstein generative AI, you can quickly generate and test up to five subject line or body copy options for a given message. The system allows you to test, copy, and download selected options while ensuring content is protected from bias and privacy risks via the Einstein Trust Layer. Additionally, the AI-generated content is never stored, safeguarding sensitive data. Typeface Content Block for Image Creation Create visually engaging and on-brand content using the Typeface Content Block in Content Builder. The AI-powered image editor allows for quick adjustments, like adding text or swapping backgrounds, without the need for advanced design tools. You can generate creative variations for targeted campaigns and optimize performance through multivariate testing. Error Messaging for CloudPages Custom Domains Marketers can now customize error messages for CloudPages custom domains. These friendly error messages can guide customers when they encounter issues such as wrong URLs or unpublished pages. Content Recovery in Content Builder Content management is now more efficient, with the ability to restore deleted items from the Recycle Bin in Content Builder. This feature, accessible to users with delete permissions, ensures smoother content recovery processes without needing support intervention. Journey Builder Performance Optimization The new System Optimization Dashboard helps you monitor journey performance and identify inefficiencies. With real-time data, you can pinpoint issues that affect processing speed and implement recommendations for optimizing journeys. Recent Journey Builder Enhancements Several updates in Journey Builder boost productivity: Data Management Updates in Contact Builder Improvements in Contact Builder include the ability to restore deleted data extensions within 30 days and two new dashboard columns for better data retention insights. The row limit for data retention has also been increased to 500 million, offering greater scalability. Accurate Distinct Contact Counts Salesforce has improved the accuracy of Total Distinct Contact counts in Marketing Cloud. This update ensures duplicate contact records across different data sources are automatically deduplicated, providing a more accurate count of unique contacts. Marketing Cloud Enhancements 2024 These feature enhancements are designed to help businesses work more efficiently while delivering more personalized and secure customer experiences. 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce and the AI Revolution

Salesforce and the AI Revolution

In the early 2000s, Salesforce made waves in the tech world with its bold “No Software” marketing campaign, symbolized by the iconic image of the word “software” crossed out in a red circle. While it was a bit misleading—Salesforce still delivered software, just in the cloud—the campaign invited people to rethink software delivery. This marked the dawn of the cloud era, and businesses were ready for a change. Then, enter Salesforce and the AI Revolution. Today, we’re witnessing a similar shift with AI. The word “SaaS” is the latest to be crossed out in red, as AI-native applications, where AI is the core rather than an add-on, promise to disrupt service delivery at an unprecedented speed—far faster than cloud displaced on-premise software. Even Bessemer Venture Partners (BVP), a leader in identifying emerging AI trends, admits to being caught off guard by the rapid rise of AI. In its State of the Cloud 2024 report, which aptly declares “The Legacy Cloud is dead—long live AI Cloud!”, BVP highlights how even the most optimistic predictions couldn’t fully capture the pace and scale of AI’s impact. The AI Revolution: Opportunities and Disruption The AI market is evolving at breakneck speed, and entrepreneurs are scrambling to stake their claim in this quickly shifting landscape. In the early cloud era, companies like Box, Docusign, HubSpot, and Shopify found success by targeting specific business use cases with subscription-based, cloud-powered solutions. Similarly, today’s AI opportunity lies in industries where manual, repetitive tasks are still prevalent. Major AI players like OpenAI, Anthropic, and Mistral are investing billions in building large-scale language models (LLMs), but there’s a gap in the market for entrepreneurs to focus on verticals where human labor is still largely manual—such as legal, accounting, and outsourcing services. Traditionally, investors have shied away from these industries due to their reliance on manual labor, high costs, and low profit margins. But AI changes the game. Tasks once done manually can now be automated, transforming labor-intensive processes into scalable, high-margin operations. Services businesses that were once unattractive to investors will now attract attention as AI boosts profitability and efficiency. The Shift to AI-Native Applications The impact of AI-native applications will go beyond improving revenue models; they will fundamentally change how we interact with software. In the current SaaS model, users spend hours in applications, manually entering data and querying systems for answers. In contrast, AI-native B2B applications will solve problems end-to-end without requiring human input for every step. Software will work for users in the background, allowing them to focus on building relationships and making strategic decisions. However, humans won’t be removed from the equation. AI trained on real human intelligence in specific verticals will perform better than purely machine-based intelligence. The combination of human expertise and AI-native applications will drive significant, tangible business results. Avoid the “X of AI” Hype With excitement around AI reaching fever pitch, many startups are branding themselves as the “X of AI”—for instance, the “Salesforce of AI.” These claims are often surface-level, wrapping an AI solution around an existing LLM without delivering true innovation. To identify genuine AI-native solutions, look for these key characteristics: Spotting the Next AI Success Stories The AI space is noisy and crowded, and as more AI-native startups emerge, it will become even harder to separate the winners from the hype. The true innovators will be those who bring untapped data into the digital fold and streamline workflows that have historically been manual. To succeed, founders need deep knowledge of their vertical and a clear understanding of how to implement AI for real-world results. Above all, they must have the vision and drive to realize the full potential of AI-native applications, transforming industries and redefining service delivery. 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce and Microsoft

Salesforce and Microsoft

Or is it Salesforce versus Microsoft? The Salesforce and Microsoft relationship is evolving. Or is it devolving? Earlier this year, Salesforce rebranded its Einstein Copilot to Agentforce. Following this change, co-founder and CEO Marc Benioff criticized Microsoft Copilot, comparing it to the outdated rules-based assistant “Clippy” from Microsoft Office in the 1990s and 2000s. Benioff’s critiques began on August 28 during the company’s latest quarterly earnings call, where he asserted that Microsoft customers have not seen value from their Copilot investments, referring to it as a “science project.” He reiterated his stance in his Dreamforce keynote, stating that Microsoft Copilot suffers from “a lack of context, skills, and adaptability.” This raises questions about Salesforce’s relationship with Microsoft. When directly asked, Benioff’s response was tinged with sarcasm: “Very good. I love them. They’re great. An impressive company.” He then recounted several of Microsoft’s historical competitive missteps, even referencing the U.S. government’s antitrust case against the company stemming from its battle with Netscape. Microsoft chose not to comment on this story. However, in response to Benioff’s criticisms following the late-August earnings call, Jared Spataro, Microsoft’s corporate vice president for artificial intelligence at work, highlighted that both internal and third-party metrics show a doubling of Copilot daily users in the previous quarter, along with a 60% increase in sales, indicating that Copilot adds value in the workplace. Salesforce reportedly serves about 150,000 customers, while Microsoft boasts an approximately 85% market penetration for productivity applications. This theoretically means that around 127,500 customers could integrate Microsoft 365 with Salesforce for email, calendar, tasks, and contact management. Salesforce claimed more than 25 million end users in 2022, suggesting that approximately 21.5 million users depend on collaboration between Salesforce and Microsoft for their systems to function effectively. “There’s always noise in the system,” said Ian Kahn, a principal at PwC and leader of the firm’s Salesforce practice. “Frankly speaking, I don’t think our clients care about it. You tune out the noise.” Rebecca Wettemann, founder of the research and advisory firm Valoir, noted that while she agrees with some of Benioff’s points—such as the underperformance of Copilots and limited customer deployment—many Salesforce customers are hosted on Microsoft’s Azure cloud. “You’ve got to play both sides,” Wettemann remarked. “You have to be on Azure because it’s one of the biggest public clouds, and people want to be there. But you also have to take potshots at Microsoft. That’s just how it works.” Salesforce’s AI tools are designed specifically for sales, service, marketing, and e-commerce, integrated within the company’s applications. Users can create agents in Slack, and there are many industry-specific tools tailored for different sectors. In contrast, Microsoft’s Copilots are more generalized and are embedded in various applications, featuring a no-code “wizard” interface to pull in data from multiple sources, including Salesforce. Microsoft recently added Copilot agents, AI assistants that automate and execute business processes. While there are similarities between Salesforce’s Agentforce and Microsoft’s Copilot, Benioff’s comparisons may not be entirely fair. Salesforce’s AI is more focused on service, sales, and marketing, whereas Microsoft targets productivity for office workers. That said, this kind of competitive banter is par for the course in the tech industry. As Wettemann pointed out, “If they didn’t make aggressive marketing claims, it wouldn’t be Dreamforce.” 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce ERP Integration

Salesforce ERP Integration

Unlock the Power of Salesforce and ERP Integration Salesforce is known worldwide for its unmatched capabilities as a CRM platform. But when integrated with an ERP system, the potential multiplies. Together, they create a cohesive environment where workflows are streamlined, financial processes are optimized, decision-making is enhanced, and customer relationships are improved—all within one unified system. However, you might have questions like: How does ERP integration with Salesforce work? or What are the benefits of this integration? Let’s jump in and answer all your questions! What is ERP and Its Benefits? ERP (Enterprise Resource Planning) is software that integrates multiple business functions into a single platform. It enables you to manage key processes like human resources, accounting, sales, inventory, compliance, and order management. What makes ERP systems unique is the shared database that gives all employees access to the same real-time information across departments. While different from a CRM platform, ERP can be integrated with Salesforce to further boost business efficiency and productivity. Key benefits of an ERP system include: How Do Salesforce and ERP Work Together? Salesforce focuses on managing customer relationships, sales, marketing, and service operations. In contrast, ERP systems handle core business processes like finance, human resources, and supply chain management. When Salesforce and ERP are integrated, they create a seamless data flow between both systems. This integration synchronizes key data, like transactions and customer information, providing unified visibility across departments. It enhances efficiency and delivers better customer experiences by offering personalized services. Why Integrate Your ERP with Salesforce? While Salesforce helps manage customer relationships, integrating it with an ERP system offers additional advantages: Types of Salesforce – ERP Integrations There are various ways to integrate Salesforce with an ERP, depending on your business needs: Choosing the Right ERP to Integrate with Salesforce Not sure which ERP system is right for your Salesforce integration? Consider the following factors: ERP Systems Compatible with Salesforce Salesforce’s flexibility allows it to integrate with most ERP systems, including Sage Intacct, Sage X3, Sage 300, Sage 100, Sage 50 US, and Acumatica, among others. This flexibility ensures you can find the right ERP for your business operations. Key Functionalities with Salesforce – ERP Integration Here are some essential features you can expect from Salesforce and ERP integration: Best Practices for Seamless Integration To ensure a smooth Salesforce and ERP integration, follow these best practices: Conclusion Integrating an ERP system with Salesforce CRM can transform your business by unlocking new levels of productivity, efficiency, and growth. As your integration partner, Tectonic offers expertise in Salesforce and third-party ERP systems. Ready to streamline your operations and boost performance? Contact us today to start your ERP-Salesforce integration journey! 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Employees Have Different Motivations

Employees Have Different Motivations

The workforce has undergone significant changes over the last two years. Today’s employees have different motivations, seeking more flexibility and purpose, while also expecting more from corporate leaders. Employees Have Different Motivations. Similarly, customers now demand high levels of personalization and exceptional experiences. How can C-suite executives keep up with these evolving expectations? Our research highlights emerging priorities for corporate leaders in these challenging times. In a recent webinar, we asked two Inc. 5000 CEOs about shifting priorities and the critical role of enhancing employee experiences to meet rising customer demands. The message was clear: efficient growth starts with your employees. Focusing on employee satisfaction, providing clear paths for growth, establishing strong values, and investing in the right tools are key drivers of success. However, for some leaders, old habits hinder progress. Today’s executives must not only be digitally proficient but also agile, with strong emotional intelligence to manage change and new relationships effectively. A prime example of this disconnect is seen in employee engagement. Salesforce’s recent report, The Experience Advantage, found that while 71% of C-suite executives believe their employees are engaged, only 51% of employees agree. Similarly, 70% of executives think their employees are happy, but only 44% of employees share that sentiment. How can companies enable their leaders to succeed in this era of heightened expectations? Let’s explore the top priorities for CEOs today. Top Priorities for Corporate Leaders In a world where CEOs are accountable to more stakeholders than ever, they must navigate an increasingly complex landscape. They’re expected to speak on social issues, advocate for sustainability, and ensure stability in times of rapid change. Adaptability is crucial for success. Here are some current top priorities for corporate leaders: At Salesforce, they’ve found success by operating with startup-style values—centering consumer trust, fostering constant innovation, and setting clear, simple goals. Marc Benioff’s V2MOM framework exemplifies this alignment in action. The New Skills Leaders Need After reviewing research and interviewing business leaders, several trends have emerged. The most successful executives today share the following traits: A 2021 IBM Institute for Business Value survey of 3,000 global CEOs revealed similar trends, highlighting purposeful agility and making technology a priority. The study found that 56% of CEOs emphasized the need for operational flexibility, and 61% were focused on empowering remote work. Key technologies driving results over the next few years include the Internet of Things (79%), cloud computing (74%), and AI (52%). A major shift on leader agendas is the growing focus on employee experience. As Salesforce’s chief growth evangelist, Tiffani Bova, noted, “Employees are now the most important stakeholder to long-term success.” Providing seamless, consumer-like experiences for employees is now essential for business growth. Our research also uncovered a key gap: 73% of C-suite executives don’t know how to use employee data to drive change. This disconnect between leadership perception and actual employee experience is undermining growth. Emotional Intelligence (EQ) Matters To close this gap, sharpening leaders’ emotional intelligence is essential. Last year, we conducted interviews with 10 CEOs across various sectors. Many revealed plans to replace C-suite team members with more digitally savvy and emotionally intelligent leaders better equipped to manage the modern workforce. Summit Leadership Partners’ 2020 research found that 80-90% of top-performing executives excelled because of their high EQ. In fact, EQ is twice as predictive of performance as technical skills or IQ. The Changing Role of Key Executives Who do CEOs rely on most? A decade ago, IBM’s Institute for Business Value found that 47% of CEOs considered the chief innovation officer critical. Today, only 4% of CEOs agree. The chief marketing officer and chief strategy officer roles have also seen significant declines in perceived importance. The positions that have gained prominence include the chief technology officer (CTO) and chief information officer (CIO), now ranked third in importance after the chief financial officer (CFO) and chief operating officer (COO). As Jeff McElfresh, COO of AT&T, observed, “Not all leaders are comfortable managing in a distributed model. We’ve got work to do to unlock the potential.” The rise in job titles related to the future of work—up 60% since the pandemic—reflects this shift, with hybrid work models becoming more common. Diversity Drives Innovation and Profitability Diversity in leadership has become essential for driving revenue and innovation. McKinsey’s 2020 report Diversity Wins found that companies with more gender-diverse executive teams were 25% more likely to achieve above-average profitability. Similarly, those with greater ethnic diversity outperformed their peers by 36%. Diverse management teams also deliver 19% higher revenues from innovation compared to less-diverse teams, according to research from BCG. As diversity becomes increasingly tied to executive compensation, companies must support a diverse leadership pipeline by developing inclusive talent strategies. Moving Forward To thrive in today’s business world, corporate leaders must plan for change, ensure all executives have both digital literacy and emotional intelligence, and redistribute power to drive success. The healthiest C-suites will include diverse leaders in key positions like COO, CFO, and CIO/CTO. Aligning the business around common goals—like those in Salesforce’s V2MOM framework—and eliminating barriers for employees are key to staying ahead. Innovation must remain a top priority. By investing in the right tools and connected platforms, companies can reduce costs and drive sustainable growth. Reach out to Tectonic for assistance in making the innovations that recognizes Employees Have Different Motivations. 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Benefits of AI in Banking

Benefits of AI in Banking

Artificial intelligence (AI) is rapidly gaining traction in the banking and finance sector, with generative AI (GenAI) emerging as a transformative force. Financial institutions are increasingly adopting AI technologies to automate processes, cut operational costs, and boost overall productivity, according to Sameer Gupta, North America Financial Services Organization Advanced Analytics Leader at EY. While traditional machine learning (ML) techniques are commonly used for fraud detection, loan approvals, and personalized marketing, banks are now advancing to incorporate more sophisticated technologies, including ML, natural language processing (NLP), and GenAI. Gupta notes that EY is observing a growing trend of banks using ML to enhance credit approvals, improve fraud detection, and refine marketing strategies, leading to greater efficiency and better decision-making. A recent survey by Gartner’s Jasleen Kaur Sindhu reveals that 58% of banking CIOs have either deployed or plan to deploy AI initiatives in 2024, with this number expected to rise to 77% by 2025. “This indicates not only the growing importance of AI but also its fundamental role in shaping how banks operate and deliver value to their customers,” Sindhu said. “AI is becoming essential to the success of banking institutions.” Here are five key benefits of AI applications in banking: Despite the benefits, concerns about AI in banking persist, particularly regarding data privacy, bias, and ethics. AI can inadvertently extract personal information and raise privacy issues. Regulatory challenges and the potential for AI systems to perpetuate biases are also major concerns. As AI technology evolves, banks are investing in robust governance frameworks, continuous monitoring, and adherence to ethical standards to address these risks. Looking ahead, AI is expected to revolutionize banking by delivering personalized services, enhancing customer interactions, and driving productivity. Deloitte forecasts that GenAI could boost productivity by up to 35% in the top 14 global investment banks, generating significant additional revenue per employee by 2026. 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 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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Salesforce Continues to Push the Boundaries of AI Innovation

Salesforce Continues to Push the Boundaries of AI Innovation

In a strategic move to enhance its AI capabilities, Salesforce has announced the acquisition of Zoomin, a leader in unstructured data management solutions. This acquisition, expected to finalize in the fourth quarter of Salesforce’s fiscal year 2025, aligns with the company’s mission to dominate the enterprise AI landscape through its Agentforce platform. The acquisition further highlights Salesforce’s commitment to advancing AI-driven customer experiences and operational efficiency. Financial details of the transaction were not disclosed, but Salesforce confirmed that it would not affect previous earnings guidance. Previously, in discussions around Service Cloud’s push for Unified Knowledge, there were concerns about relying on partners like Zoomin. This acquisition addresses those concerns by filling a critical gap in Salesforce’s product offerings and adding new functionalities to Data Cloud. Strengthening Data Cloud for AI Zoomin’s technology will enhance Salesforce’s Data Cloud by providing improved support for managing unstructured data—a cornerstone of modern AI systems. This is a critical step in Salesforce’s AI strategy, particularly for the Agentforce platform, as it enables more comprehensive, context-aware AI capabilities. Rahul Auradkar, Salesforce’s EVP & GM of Unified Data Services & Einstein, stressed the importance of this acquisition. “Unstructured data is the key to unlocking AI’s full potential in customer interactions,” Auradkar said. “With Zoomin’s technology, we’re not just improving data management—we’re revolutionizing how AI agents understand and use information to deliver personalized experiences.” The integration of Zoomin’s Unified Knowledge technology directly addresses a key challenge in AI: managing and understanding unstructured data to create smarter AI agents. By strengthening its data foundation, Salesforce is positioning itself to deliver more sophisticated AI applications across its platform. Agentforce: A New AI Frontier Salesforce’s recently launched Agentforce platform aims to revolutionize enterprise AI with autonomous AI agents capable of advanced decision-making and task automation. By incorporating Zoomin’s technology, Agentforce will gain the ability to process and utilize unstructured data more effectively, setting it apart from competitors like Microsoft’s Copilot, which often requires significant user input and prompt engineering. The enhanced Agentforce platform will deliver a host of benefits, from improved customer service automation to more accurate sales forecasting and personalized marketing campaigns. By tapping into unstructured data, Salesforce is paving the way for AI-driven insights and actions previously unattainable with traditional approaches. A Natural Progression from Partnership to Acquisition Zoomin’s relationship with Salesforce began in 2018 as an AppExchange partner, followed by an investment from Salesforce Ventures in 2019. This acquisition marks a natural progression in their partnership, promising a smooth integration into Salesforce’s ecosystem. Zoomin CEO Gal Oron shared his enthusiasm: “Joining forces with Salesforce is a natural next step for us. Our shared vision is to make AI truly intelligent by giving it access to the vast amount of unstructured data that exists in enterprises. Together, we’ll help businesses unlock the full potential of their data and AI investments.” Implications Across the Business Spectrum The integration of Zoomin’s technology is expected to have broad implications, especially in customer service, where AI agents can use unstructured data to deliver more personalized and efficient responses. Beyond customer service, this technology is poised to impact sales, marketing, and overall business operations, enabling deeper insights into customer behavior and more targeted campaigns. Kishan Chetan, EVP and GM of Salesforce Service Cloud, highlighted the potential: “With Unified Knowledge, we’re not just improving AI—we’re transforming how businesses understand and serve their customers. Imagine AI agents that can grasp the full context of a customer’s history, preferences, and needs in real time. That’s the power we’re unlocking.” A Strategic Response to the AI Arms Race Salesforce’s acquisition of Zoomin comes amid an increasingly competitive enterprise AI landscape. By bolstering its embedded AI capabilities through strategic acquisitions, Salesforce is solidifying its position as a leader in enterprise AI, while addressing key challenges faced by rivals like Microsoft and Google. Zoomin’s expertise in processing large volumes of technical content and generating insights based on user behavior will be instrumental in helping Salesforce deliver cutting-edge, AI-driven solutions. These advancements will improve everything from customer service to digital transformation initiatives across industries. With this acquisition, Salesforce continues to push the boundaries of AI innovation, cementing its leadership in the rapidly evolving enterprise AI market. 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce Einstein Copilot Security

Salesforce Einstein Copilot Security

Salesforce Einstein Copilot Security: How It Works and Key Risks to Mitigate for a Safe Rollout With the official rollout of Salesforce Einstein Copilot, this conversational AI assistant is set to transform how sales, marketing, and customer service teams interact with both customers and internal documentation. Einstein Copilot understands natural language queries, streamlining daily tasks such as answering questions, generating insights, and performing actions across Salesforce to boost productivity. Salesforce Einstein Copilot Security However, alongside the productivity gains, it’s essential to address potential risks and ensure a secure implementation. This Tectonic insight covers: Einstein Copilot Use Cases Einstein Copilot enables users to: All of these actions can be performed with simple, natural language prompts, improving efficiency and outcomes. How Einstein Copilot Works Here’s a simplified breakdown of how Einstein Copilot processes prompts: The Einstein Trust Layer Salesforce has built the Einstein Trust Layer to ensure customer data is secure. Customer data processed by Einstein Copilot is encrypted, and no data is retained on the backend. Sensitive data, such as PII (Personally Identifiable Information), PCI (Payment Card Information), and PHI (Protected Health Information), is masked to ensure privacy. Additionally, the Trust Layer reduces biased, toxic, and unethical outputs by leveraging toxic language detection. Importantly, Salesforce guarantees that customer data will not be used to train the AI models behind Einstein Copilot or be shared with third parties. The Shared Responsibility Model Salesforce’s security approach is based on a shared responsibility model: This collaborative model ensures a higher level of security and trust between Salesforce and its customers. Best Practices for Securing Einstein Copilot Rollout Prepare Your Salesforce Org for Einstein Copilot To ensure a smooth rollout, it’s critical to assess your Salesforce security posture and ready your data. Tools like Salesforce Shield can help organizations by: By following these steps, you can utilize the power of Einstein Copilot while ensuring the security and integrity of your data. Like1 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce AI Evolves with the Generative AI Landscape

Salesforce AI Evolves with the Generative AI Landscape

Salesforce AI: Powering Customer Relationship Management Salesforce is a leading CRM solution that has long delivered cutting-edge cloud technologies to manage customer relationships effectively. In recent months, the platform has further advanced with the integration of generative AI and AI-powered features, primarily through its AI engine, Einstein. Salesforce AI Evolves with the Generative AI Landscape. To explore how AI operates within the Salesforce ecosystem and how various business teams can leverage these innovations, this guide delves into Salesforce’s AI capabilities, products, and features. Salesforce AI: Transforming CRM Capabilities Salesforce remains a top choice in the CRM software market, offering one of the most comprehensive solutions for managing relationships across departments, industries, and initiatives. Through dedicated cloud platforms, Salesforce enables teams to oversee marketing, sales, customer service, e-commerce, and more, with tools focused on delivering enhanced customer experiences supported by powerful data analytics. With the introduction of generative AI, Salesforce has significantly elevated its native automation, workflow management, data analytics, and assistive capabilities for customer lifecycle management. Einstein Copilot exemplifies this innovation, aiding internal users with tasks such as outreach, analysis, and improving external user experiences. What is Salesforce Einstein? Salesforce Einstein is an AI-driven suite of tools integrated natively into various Salesforce Cloud applications, including Sales Cloud, Marketing Cloud, Service Cloud, and Commerce Cloud. It also operates through assistive technologies like Einstein Copilot. Einstein is built on a multitenant platform and incorporates numerous automated machine learning features to unify organizational data with CRM capabilities. Designed to make intelligent, data-driven decisions, Einstein requires no additional installation, offering a seamless user experience when paired with a compatible subscription plan. 7 Key Features of Salesforce Einstein 7 Applications of Salesforce Einstein Future Trends in Salesforce AI Bottom Line: Salesforce AI Evolves with the Generative AI Landscape Salesforce continues to enhance its AI-powered features, keeping pace with advancements in generative and predictive AI. Whether new to the platform or a seasoned user, Salesforce offers innovative, AI-centric solutions to streamline customer relationship management and business operations. Like1 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Agentic AI is Here

AI Agent Myths

Myths About AI Agents Agents will transform how we work, but separating fact from fiction is essential. AI agents are revolutionizing business operations, yet misconceptions persist about their capabilities and value. Understanding these myths—and the truth behind them—can help your organization unlock their potential. Myth #1: AI Agents Are Just Glorified Chatbots While chatbots and AI agents both use artificial intelligence, their functionality and complexity differ significantly. For instance, a chatbot might provide an overview of your sales metrics, but an AI agent can analyze those metrics, forecast demand, adjust inventory levels, update marketing strategies, and even notify suppliers—all proactively and autonomously. This leap in capability allows agents to optimize workflows, make strategic recommendations, and dynamically respond to changing conditions. They’re not just answering questions—they’re driving outcomes. Myth #2: They’re unpredictable and uncontrollablePopular culture often paints AI as rogue systems—think 2001: A Space Odyssey or The Terminator—but in reality, modern AI agents are designed with safety, trust, and precision at their core. The most effective agents today use advanced techniques to prevent errors and ensure their actions stay within strict boundaries. At the heart of this is a reasoning engine. This engine doesn’t just execute tasks—it creates action plans based on the user’s goals, evaluates those plans, and refines them by pulling data from customer relationship management (CRM) systems and other platforms. It then determines the correct processes to execute and iterates until the task is completed successfully, improving with each interaction. When tasks fall outside an organization’s predefined guardrails—like user permissions or compliance rules—the reasoning engine automatically flags the task and escalates it for human oversight. “Helping an agent perform accurately while understanding what it is not allowed to do is a complex task,” says Krishna Gandikota, Manager of Solution Engineering at Salesforce. “The reasoning engine plans and evaluates the AI’s approach before it takes any action. It also assesses whether it has the necessary skills and information to proceed.” This process is further enhanced by continuous learning, enabling agents to refine their decision-making and actions over time. Grounded in DataThe best agents are contextually aware, leveraging relevant, up-to-date information to perform tasks accurately. Techniques like retrieval-augmented generation (RAG) help by sourcing the most relevant data, while semantic search ensures that agents retrieve the latest and most accurate information. Salesforce’s Agentforce employs these methods using Data Cloud, which enables agents to access real-time data without physically copying or modifying it—thanks to zero-copy architecture. This ensures speed, accuracy, and compliance across all agent-driven actions. Myth #3: They’re complicated, time-consuming, and expensive to set upIt’s easy to assume that deploying AI agents would require months of integration work and millions of dollars, but that’s no longer the case. Advances in generative AI and large language models (LLMs) have drastically simplified the process. Agents can now be deployed in minutes with prebuilt topics—specific areas of focus—and actions for common tasks in customer service, sales, and commerce. For more tailored needs, low-code tools make it easy to create custom agents. Using natural language processing (NLP), you simply describe what the agent needs to do, and the system builds it for you. For instance, Agent Builder automatically suggests guardrails and resources based on the task description. By scanning an app’s metadata, it identifies semantically similar processes, creating a smarter, context-aware agent that aligns with your business operations. “All the sophistication is already built into the platform,” Gandikota explains. “The Einstein Trust Layer, reasoning engine, and vector database for RAG and semantic search work seamlessly. With this foundation, you can build a team of agents quickly and confidently.” Myth #4: They’re always fully autonomousAI agents don’t need to operate completely autonomously to deliver value. Their autonomy depends on the complexity of their tasks and the industry they serve. “Agents don’t always need to take actions autonomously,” Gandikota explains. “They’re designed to understand requests, assess whether they can proceed independently, and involve humans when necessary.” Myth #5: They won’t deliver real business valueSome businesses using generic AI tools haven’t seen the ROI they expected. That’s because generic AI isn’t tailored to specific business needs. AI agents, on the other hand, are purpose-built to perform specialized tasks with precision. Whether it’s nurturing sales leads, brainstorming marketing campaigns, or resolving service tickets, targeted AI agents excel at solving specific problems. Unlike generic AI, they don’t just provide insights—they take action, driving measurable outcomes. For example, educational publisher Wiley improved support case resolution by over 40% after adopting AI agents. By handling routine tasks, the agents freed up Wiley’s service teams to focus on more complex cases. Similarly, early adopters like OpenTable and ADP have reported significant improvements in customer satisfaction and efficiency. According to MarketsandMarkets, AI agents are driving demand for automation by enhancing decision-making, scalability, and efficiency. The global market for AI agents is expected to grow from $5.1 billion in 2024 to $47 billion by 2030. The Bottom LineUnderstanding the myths—and realities—of AI agents is critical for business leaders. Misconceptions can lead to missed opportunities, while clarity around their capabilities can help organizations work smarter, faster, and more efficiently. With trusted, adaptable, and purpose-built agents, the future of business automation is already here. 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 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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Matching Record Check

Matching Record Check

Salesforce Matching Record Check in Flow Create Element: Summer ’24 Update With the Summer ’24 Release, Salesforce introduced a new feature allowing users to check for matching records when using the Create element in Flows. This enhancement provides more control over record creation, especially when dealing with potential duplicates. Single Record Creation with Matching Check When a matching record is identified, you have the following options: If multiple matching records are found, you can choose to: It’s important to note that the definition of a “matching record” in this context is not tied to Salesforce’s traditional matching and duplicate rules. Instead, it is determined by the criteria you set within the Create element. You can specify multiple criteria lines and combine them using AND or OR logic. For example, a match could be identified if both the phone number and last name match the values in the record you’re creating. Use Cases for Single Record Creation and Matching Check This feature can be used to create or update various types of records, such as contacts or leads. It is particularly useful in scenarios where duplicate records need to be avoided, like adding campaign members or public group members. Salesforce typically throws an error if a Flow attempts to add a member who already exists, but this new feature allows you to handle such cases more gracefully. Limitations: Creating Multiple Records with Matching Check: Winter ’25 Update With the Winter ’25 Release, Salesforce extended this functionality to handle collections of records within the Create element. When working with multiple records, you can specify the field to identify existing records: You can also decide what happens if a record creation or update fails: This feature is particularly useful for scenarios like importing leads from an external marketing tool or syncing billing and payment activities from an accounting platform. It mimics the upsert functionality found in other data import tools. Limitations: This enhancement offers more flexibility and control when managing records in Salesforce, ensuring that your data remains clean and accurate while avoiding potential errors in automated processes. 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce and SnapLogic Integration

Salesforce and SnapLogic Integration

Salesforce and SnapLogic integrations couldn’t be easier with the Tray platform’s robust Salesforce and SnapLogic connectors, which can connect to any service without the need for separate integration tools. Salesforce provides customer relationship management service software, and has a complementary suite of enterprise applications as well. These are focused on customer service, marketing automation, analytics, and application development. It is the market leader in CRM solutions. The latest Salesforce connector v8.7 exposes the v46.0 of Salesforce’s REST API. More information can be found on their primary API documentation (v1) site. Encountering issues while authenticating with Salesforce, especially during the integration of a third-party app like Tray, may result from Salesforce blocking the application. Salesforce’s default settings or specific organizational security policies can automatically block third-party apps that administrators have not pre-authorized. This is a standard precaution to prevent unauthorized access. Steps to Unblock an App in Salesforce: Use cases In each of these examples, Lead Scoring and Prioritization Objective: Automatically score and prioritize leads based on their attributes and activities.  Steps: This example leverages AI for lead classification while combining it with traditional data processing for a comprehensive lead scoring system. 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Choose Salesforce for SMS

Choose Salesforce for SMS

Why Integrating SMS with Salesforce Transforms Business Communication Effective communication is crucial in today’s fast-paced business environment. A company’s success often hinges on its ability to interact seamlessly with customers—whether through personalized service, timely updates, or the latest product offerings. Choose Salesforce for SMS. Today’s customers demand a seamless, omnichannel experience that goes beyond traditional communication methods like flyers and emails. They expect real-time, two-way interactions, which is where Salesforce SMS apps come into play. These apps, which integrate smoothly with existing CRM systems, are transforming how businesses engage with their customers. 5 Reasons to Integrate SMS with Salesforce Integrating SMS with Salesforce offers numerous benefits, primarily enhancing customer-facing efficiency and effectiveness. Here are five key advantages: SMS for Salesforce enables businesses to provide immediate customer support. For instance, logistics companies can use SMS to notify customers about delivery statuses or appointment updates in real time. SMS boasts an impressive open rate—over 95% within the first three minutes—making it a highly effective medium for increasing marketing engagement compared to email. You can even couple Salesforce SMS with tools like geofencing to send notifications via SMS when they are in the store. Integrating SMS with Salesforce allows for streamlined automation of processes such as order updates and appointment reminders. This reduces the need for manual intervention, boosts productivity, and frees up resources for more strategic tasks. Automated texts can be scheduled based on customer behavior or sales stages, optimizing workflows and enhancing efficiency. With a response rate of approximately 45%, SMS is highly effective for engaging customers. It facilitates prompt replies due to its immediate nature. Sales and marketing teams can leverage SMS for direct interactions, while retailers can use it to distribute discount codes and drive quick responses. Additionally, SMS is ideal for important notifications, enhancing customer service. By integrating SMS with Salesforce, businesses can tailor their messages to address specific customer needs and preferences. This personalization fosters stronger customer relationships and improves conversion rates. For example, a travel agency can send personalized vacation recommendations, while financial advisors can provide client-specific updates and advice. Salesforce’s integration with SMS allows for robust tracking and analysis of customer interactions and campaign effectiveness. Marketing teams can refine their strategies by reviewing metrics such as open rates, click-through rates, and conversion rates from SMS campaigns. Additionally, customer support teams can evaluate response times and resolution rates to improve service efficiency. How to Implement SMS in Salesforce To send and receive texts via Salesforce, you have several options: Salesforce offers two primary SMS solutions: Mobile Studio and Digital Engagement. For more tailored functionality, you can use Salesforce API or another API provider to develop a custom texting solution. While this offers greater flexibility and avoids extra costs, it involves significant development time and expense. Opting for a Salesforce-native SMS app from the Salesforce AppExchange can be advantageous. These apps, designed specifically for SMS within Salesforce, often offer: These native apps also come with dedicated customer support, making them a cost-effective and efficient choice. Best Practices for SMS Communication While SMS boasts high engagement rates, it’s essential to follow best practices to maintain a positive customer experience: Ensure compliance with data privacy regulations like GDPR and CCPA by securing clear consent from customers before sending SMS. Automate re-opt-in processes to maintain compliance. Send messages during the recipient’s regular business hours to avoid disturbing them at inconvenient times. Stay in touch with your audience regularly but avoid overwhelming them with excessive messages. Provide valuable content to keep engagement high. Use the same number for messaging to help customers recognize your communications and build trust. Respond promptly and courteously to customer replies. Provide clear, detailed responses to inquiries. Acknowledge and reward outstanding customer actions with thoughtful messages or gestures, such as donations to their favorite charities. Even a thank you for your purchase message can contain a surprise such as a coupon or a notification that a free gift is included with their order. Use SMS to highlight important announcements, events, or opportunities, tapping into the fear of missing out to drive engagement. SMS is the perfect omnichannel tool to incorporate into all your Salesforce journeys. Balance promotional content with conversational engagement to avoid appearing pushy and to keep the communication enjoyable for customers. People are much happier to get news they can use rather than advertisements. Encourage further engagement by including clear, actionable steps in your SMS messages, such as signing up for a free trial or using a discount code. A call to action must be designed with smaller screen views in mind. Include an easy way for recipients to unsubscribe from future messages to comply with legal requirements and respect customer preferences. By integrating SMS with Salesforce and adhering to these best practices, businesses can enhance their communication strategies, foster better customer relationships, and drive greater engagement. Like1 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Introducing Marketing Cloud Advanced

Introducing Marketing Cloud Advanced

Salesforce has unveiled a series of innovations in its Marketing Cloud, (Introducing Marketing Cloud Advanced) designed to empower businesses with AI-driven tools and enhanced data capabilities to elevate customer engagement. These new features aim to deepen customer relationships, improve team productivity, and boost operational efficiency. Introducing Marketing Cloud Advanced One of the standout innovations is Marketing Cloud Advanced, an upcoming edition that integrates advanced automation and AI. This edition is designed to connect marketing journeys with sales, service, and commerce workflows, offering a more personalized experience across multiple customer touchpoints. Additionally, the introduction of Agentforce for Marketing will bring generative and predictive AI into the marketing realm, helping marketers create comprehensive, end-to-end campaign experiences. Steve Hammond, Executive Vice President and General Manager of Marketing Cloud at Salesforce, commented: “Today’s most successful marketers engage customers on their terms and act as value multipliers across the entire customer experience—whether helping sales or service have more personalized conversations or re-engaging inactive customers. Built on Data Cloud, Marketing Cloud is the only solution that unifies data across every department and moment in the customer lifecycle, powered by Agentforce Agents and automation, driving growth, loyalty, and optimizing ROI.” Agentforce for Marketing introduces several capabilities that streamline marketing processes. Marketers can now plan, launch, and optimize campaigns with ease. Agentforce allows marketers to set campaign goals and brand guidelines, after which the AI generates campaign briefs, identifies target audience segments, and drafts initial emails and landing pages. The system continuously monitors performance and provides data-driven optimization suggestions based on key performance indicators (KPIs). A key addition is Einstein Marketing Intelligence (EMI), which helps marketers manage and optimize cross-channel campaign performance. EMI automates the process of data preparation, enrichment, harmonization, and visualization, enabling marketers to measure campaign effectiveness and make informed decisions to improve return on investment. Furthermore, Salesforce introduced Einstein Personalization, an AI-powered decision engine that delivers tailored customer experiences. This tool allows sales, service, and commerce teams to engage customers in real time based on live interactions and data. Using Flow’s A/B split testing feature, marketers can select dynamic email content for different audience segments and track performance to adjust strategies effectively. Sarah Lukins, General Manager of Digital at Fisher & Paykel Appliances, praised the new functionality: “Salesforce enables us to seamlessly access all of our marketing, commerce, service, sales, and external data in one place and leverage AI for more targeted audience engagement. We can now deliver more relevant and consistent personalized experiences across email, ads, web, social, and service engagements.” The Marketing Cloud Advanced Edition will roll out to customers in North America, Europe, and Latin America, while Agentforce Personalization is expected to become generally available by next summer. Additional releases include expanded Einstein multi-language support and unified SMS conversation capabilities. These innovations are part of Salesforce’s ongoing efforts to equip marketers with unified and actionable data, enhancing the performance of marketing teams and fostering deeper integration across organizations. Through AI and automation, Salesforce is helping businesses deliver more personalized, connected, and seamless customer experiences. 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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