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can-spam act

CAN-SPAM Act

Do you use email for your business? The CAN-SPAM Act, a law that regulates commercial email, sets requirements for these messages, grants recipients the right to stop receiving emails, and imposes significant penalties for non-compliance. The FTC enforces the CAN-SPAM Act and the associated CAN-SPAM Rule. Contrary to what its name might suggest, the CAN-SPAM Act isn’t limited to bulk email. It applies to all commercial messages, which are defined as any electronic mail message primarily intended to advertise or promote a commercial product or service, including emails that promote content on commercial websites. The law also applies to business-to-business email, meaning every email, such as one announcing a new product line to former customers, must adhere to CAN-SPAM regulations. Each individual email that violates the CAN-SPAM Act can result in penalties of up to $51,744, making compliance crucial. Fortunately, following the law is straightforward. Here’s an overview of CAN-SPAM’s key requirements: Frequently Asked Questions: Q: How do I know if the CAN-SPAM Act applies to the emails my business sends? A: The law applies based on the “primary purpose” of the message. An email can contain three types of content: If the message’s primary purpose is commercial, it must comply with CAN-SPAM. If it’s transactional or relationship-based, it must still avoid false or misleading routing information but is otherwise exempt from most CAN-SPAM requirements. Q: How can I determine if an email is a transactional or relationship message? A: An email is transactional or relationship-focused if it: These categories are interpreted narrowly, so be careful when assuming that any message sent to subscribers or members is transactional or relationship-based. Consider whether a reasonable recipient would view the email’s primary purpose as fitting into one of these categories. If not, the email must comply with CAN-SPAM. Q: What if an email combines commercial and transactional/relationship content? A: When an email includes both commercial and transactional/relationship content, the primary purpose determines its status. If the subject line leads a recipient to believe the message is primarily commercial or if the transactional/relationship content isn’t prominent at the beginning, the email is considered commercial and must comply with CAN-SPAM. Need More Information? For more detailed guidance on CAN-SPAM compliance, refer to the full CAN-SPAM Act or consult the FTC’s resources. Q: What if a message contains both commercial content and content classified as “other”? A: If a message includes both commercial content and other types of content, the CAN-SPAM Act applies if the primary purpose of the message is commercial. This determination is made if: Factors that influence this interpretation include the placement of the commercial content (e.g., whether it appears at the beginning of the message), the proportion of the message dedicated to commercial content, and how elements like color, graphics, and text style are used to emphasize the commercial aspects. Q: What if an email includes content from more than one company? Who is responsible for CAN-SPAM compliance? A: When an email promotes the products, services, or websites of multiple marketers, the responsible “sender” under the CAN-SPAM Act is typically determined by agreement among the marketers. The designated sender must: If the designated sender fails to meet these obligations, all marketers involved may be held liable as senders. Q: My company sends emails with a “Forward to a Friend” feature. Who is responsible for CAN-SPAM compliance for these forwarded messages? A: Whether a seller or forwarder is considered a “sender” or “initiator” under the CAN-SPAM Act depends on the situation. Typically, the Act applies if the seller offers an incentive for forwarding the message, such as money, discounts, or sweepstakes entries. In such cases, the seller is likely responsible for compliance. If a seller provides any benefit in exchange for forwarding an email or generating traffic, they are likely subject to CAN-SPAM regulations. Q: What are the penalties for violating the CAN-SPAM Act? A: Each email that violates the CAN-SPAM Act can result in penalties of up to $51,744, with the possibility of multiple parties being held responsible. Both the company whose product is promoted and the company that sent the message can be liable. Additionally, emails that contain misleading claims may be subject to other laws, like Section 5 of the FTC Act, which prohibits deceptive advertising. The CAN-SPAM Act also includes aggravated violations that could lead to additional fines and even criminal penalties, including imprisonment, for: Civil penalties may also require restitution to consumers under Section 19 of the FTC Act, covering not just what consumers paid, but also the value of their lost time. Q: Are there specific rules for sexually explicit marketing emails? A: Yes, the FTC has rules under the CAN-SPAM Act for emails with sexually explicit content. These emails must start with “SEXUALLY-EXPLICIT:” in the subject line. The body of the email must initially display only this warning and the standard CAN-SPAM information: the message’s commercial nature, the sender’s physical address, and an opt-out method. No images or graphics are allowed in this part of the message, ensuring that sexually explicit content isn’t viewable without an affirmative action, like scrolling or clicking. This requirement doesn’t apply if the recipient has previously given consent to receive such messages. About the FTC The FTC is dedicated to preventing fraudulent, deceptive, and unfair practices affecting businesses and consumers. You can report scams and unethical business practices at ReportFraud.ftc.gov. For guidance on legal compliance, visit business.ftc.gov. Understanding and fulfilling your compliance obligations is smart business practice, regardless of your organization’s size or industry. For updates on cases and initiatives, subscribe to the FTC’s Business Blog. Your Opportunity to Comment The National Small Business Ombudsman and 10 Regional Fairness Boards collect feedback from small businesses regarding federal compliance and enforcement activities. The Ombudsman evaluates these activities annually and rates each agency’s responsiveness to small businesses. Comments can be submitted without fear of reprisal by calling 1-888-REGFAIR (1-888-734-3247) or visiting www.sba.gov/ombudsman. Content updated January 2024. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a

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Contact Builder is responsible for aggregating customer data from multiple source into a single customer view, known as the contact model in marketing cloud. For more information refer to the official documentation. Audience Builder is a segmentation tool, that abstracts the traditional SQL process for building segments and allows marketers to build segments by dragging and dropping them. For more information, please refer to the the documentation. Contact Builder has been moved to the Audience Builder tab

Audience Builder Contact Builder

Contact Builder, formerly known as Audience Builder, is a robust tool within Marketing Cloud designed to manage data associated with contacts, referred to as ‘people’ records. This platform provides access to both demographic and behavioral information, which is organized into ‘attribute groups’ (such as abandoned carts), ‘events,’ and ‘populations,’ allowing for efficient segmentation of data. The primary distinction between Audience Builder and Contact Builder lies in their functionalities within Marketing Cloud. While Audience Builder focuses on segmenting data, Contact Builder serves as the tool for defining the data model within the Marketing Cloud ecosystem. Contact Builder is integral to data management within Marketing Cloud and will continue to play a central role in the platform’s operations. Marketing Cloud Audience Builder has empowered marketers to create finely segmented audiences based on behavioral and demographic data. With its retirement, the question arises: “What comes next?” To address this, Marketing Cloud offers engagement marketing tools powered by AI, enabling marketers to activate their data and deliver personalized campaigns at scale to enhance customer lifetime value. These tools include: Email Marketing: Cross-Channel Analytics: “After adopting Salesforce Marketing Cloud and using it to hyper-target our audience, we are able to reduce the waste of our current marketing budget and become more efficient with spending on initiatives that deliver better results“ Kyall MaiSVP & Chief Innovation Officer, Esquire Contact Builder vs. Audience Builder Contact Builder serves as the central hub for managing attribute values associated with each contact within Marketing Cloud. It maintains a comprehensive database of contact information and facilitates the organization and linkage of data from various sources, including ERP systems, CRM systems, and POS systems. This tool offers a unified view of customer interactions with the brand, enabling personalized communication across channels such as email, SMS, and push notifications. Audience Builder, now known as Contact Builder, dynamically creates targeted audiences based on stored attribute and behavioral values of contacts. These audiences are generated according to specific rules and criteria defined by the user. Audience Builder helps marketers segment contacts effectively, allowing for precise targeting or exclusion from marketing activities within Marketing Cloud Engagement. Key Features and Functions: Contact Builder: Audience Builder: While both Contact Builder and Audience Builder are essential components of Marketing Cloud, Contact Builder takes precedence as the primary tool for managing contact data and enabling personalized customer interactions. Audience Builder, now integrated into Contact Builder, continues to play a vital role in audience segmentation and targeting within Marketing Cloud Engagement. Contact Builder is responsible for aggregating customer data from multiple source into a single customer view, known as the contact model in marketing cloud. For more information refer to the official documentation. Audience Builder is a segmentation tool, that abstracts the traditional SQL process for building segments and allows marketers to build segments by dragging and dropping them. For more information, please refer to the the documentation. Contact Builder has been moved to the Audience Builder tab. 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 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

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phi vs ephi

PHI vs ePHI

PHI vs. ePHI: Navigating Healthcare Data Security Established in 1996, HIPAA predates the era of high-speed internet access, cloud computing, and ubiquitous smartphones. During the 90s, healthcare providers relied on fax, paper forms, and traditional mail to transmit Protected Health Information (PHI). In today’s digital landscape, providers leverage electronic means to transmit a greater volume of patient data more efficiently. Gone are the days of sending a fax with a cover page asking whoever picks it up on the receiver end not to read it. PHI vs ePHI have changed the way healthcare data is handled forever. Electronic Protected Health Information (ePHI) refers to digitized PHI transmitted, received, or stored electronically. This encompasses data in online patient records, applications, PDFs, emails, medical devices, flash drives, and other electronic formats. Despite the transition to electronic storage and transmission, the standards for safeguarding PHI and ePHI remain the same, differing only in the medium used by providers. While digital tools enhance healthcare convenience, they present a new, dual challenge. The digital format and storage and sharing of ePHI on company networks and the internet make it susceptible to cyber theft. Unlike traditional PHI, which can be physically secured, protecting ePHI poses greater challenges, particularly for large hospitals and distributed healthcare organizations. Given the various ways ePHI can be accessed, modified, and stolen, HIPAA mandates robust cybersecurity measures to safeguard digital patient information. The Security Rule, an extension of HIPAA, stipulates physical, administrative, and technical safeguards specifically tailored for ePHI. In an era where cybercriminals can exploit vulnerabilities with a few keystrokes, coupled with the growing trend toward decentralized healthcare delivery and data-driven practices, healthcare organizations must develop a distinct strategy for ePHI protection in collaboration with their cybersecurity teams. As the digitization of patient care increases, securely sharing ePHI emerges as the next frontier in healthcare compliance. If you work with PHI or ePHI contact Tectonic for assistance in keeping your data secure and compliant. Like1 Related Posts 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 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 50 Advantages of Salesforce Sales Cloud According to the Salesforce 2017 State of Service report, 85% of executives with service oversight identify customer service as a Read more Salesforce Government Cloud: Ensuring Compliance and Security Salesforce Government Cloud public sector solutions offer dedicated instances known as Government Cloud Plus and Government Cloud Plus – Defense. Read more

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Salesforce Marketing Cloud Personalization

AI and Marketing Personalization

AI Personalization Marketing: The Future of Customized Advertising Artificial intelligence (AI) is revolutionizing advertising by replacing generic mass marketing campaigns with highly targeted and relevant ads personalized through AI technology. Advanced AI and machine learning capabilities enable businesses to tailor and optimize marketing messages at scale. By leveraging extensive data insights, AI empowers businesses to understand customer needs and preferences on a personal level, allowing for customized messages and recommendations throughout the buyer’s journey. 5 Benefits of AI Personalization in Marketing Practical Applications of AI-Based Personalization in Marketing AI significantly enhances marketing effectiveness by analyzing extensive customer data to inform targeted campaigns. According to Babak Hodjat, CTO of Cognizant, integrating AI with business data empowers decision-making and drives key performance indicators. Explore more insights from Babak Hodjat in eWeek’s interview on AI’s transformative impact on marketing. AI-Powered Tools for Enhanced Personalization Challenges and Considerations for AI Personalization Implementation Implementing AI personalization presents challenges such as costs, ethical concerns, and data privacy considerations. Businesses must ensure transparent data practices and compliance with regulations like GDPR and CCPA to mitigate risks associated with data security and bias in AI algorithms. Best Practices for Effective AI Personalization Marketing Successful AI personalization strategies begin with clearly defined goals, ethical data practices, and the strategic use of AI tools to optimize marketing efforts. Regular monitoring and refinement based on data-driven insights ensure continuous improvement in campaign effectiveness and customer engagement. Conclusion AI personalization is reshaping marketing by delivering tailored experiences that drive customer engagement and business growth. Strategic implementation of AI tools enables marketers to unlock new levels of personalization while navigating ethical considerations and regulatory requirements. Embracing AI in marketing empowers brands to connect with customers on a deeper level, fostering loyalty and driving sustainable business success. 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

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Layers of the AI Stack

The AI stack refers to the layered architecture of technologies and components that work together to build, deploy, and manage artificial intelligence (AI) systems. Each layer of the stack plays a critical role in enabling AI capabilities, from data collection to model deployment and beyond. Here’s a breakdown of the key layers of the AI stack: 1. Data Layer The foundation of any AI system is data. This layer involves collecting, storing, and managing the data required to train and operate AI models. Key Components: 2. Infrastructure Layer This layer provides the computational power and hardware needed to process data and run AI models. Key Components: 3. Framework and Tools Layer This layer includes the software frameworks and tools used to build, train, and optimize AI models. Key Components: 4. Model Layer This is the core layer where AI models are developed, trained, and fine-tuned. Key Components: 5. Application Layer This layer focuses on deploying AI models into real-world applications and integrating them with existing systems. Key Components: 6. Orchestration and Management Layer This layer ensures that AI systems are scalable, reliable, and efficient in production environments. Key Components: 7. Business Layer This layer focuses on the business value of AI, including use cases, ROI, and ethical considerations. Key Components: 8. Ecosystem Layer This layer includes the external tools, services, and communities that support AI development and deployment. Key Components: How the Layers Work Together Why the AI Stack Matters The AI stack provides a structured approach to building and deploying AI systems. By understanding and optimizing each layer, organizations can: Conclusion The AI stack is a comprehensive framework that enables organizations to harness the power of AI effectively. By mastering each layer—from data collection to business value—you can build robust, scalable, and impactful AI solutions. Whether you’re a startup or an enterprise, understanding the AI stack is key to staying competitive in the age of artificial intelligence. Content updated March 2025. 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

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ai watermarking

AI Watermarking

What is AI Watermarking? AI watermarking is the process of embedding a unique, identifiable signal—called a watermark—into the output of an artificial intelligence model, such as text or images, to mark it as AI-generated. This watermark can then be detected by specialized algorithms designed to scan for it. An effective AI watermark should be: AI watermarking has gained attention with the rise of consumer-facing AI tools like text and image generators, which can produce highly realistic content. For instance, in March 2023, an AI-generated image of the Pope wearing a puffer coat went viral, misleading many into believing it was real. While some AI-generated content is harmless, the technology also poses risks, such as: To combat these risks, researchers are developing watermarking techniques to help distinguish AI-generated content from human-created material. How AI Watermarking Works AI watermarking involves two key stages: Example: Text Watermarking in LLMs A technique proposed by OpenAI researcher Scott Aaronson involves: Similarly, image generators could embed watermarks by: Benefits of AI Watermarking Limitations & Challenges Despite its potential, current AI watermarking has significant drawbacks: Conclusion AI watermarking is a promising but imperfect solution for identifying AI-generated content. While it could help mitigate misinformation and verify authenticity, current methods remain unreliable. Future advancements will need to address removal resistance, false detection, and ethical implications before watermarking becomes a widely adopted standard. 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

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What is Health Cloud

What is Health Cloud?

Salesforce Health Cloud, a specialized platform designed for healthcare organizations, aims to streamline operations and provide personalized care. By leveraging cloud technology, mobile capabilities, and social integration, Health Care Cloud enhances productivity, reduces costs, and offers a comprehensive view of patient data. Salesforce keeps electronic personal health information (ephi) safe and secure. Since its inception, Salesforce Health Cloud has evolved significantly to meet the unique and challenging needs of the healthcare sector. The introduction of Customer 360 for Health marks a milestone in fostering empathetic care and promoting collaboration among healthcare teams. What is Salesforce Health Cloud? At its core, Health Cloud facilitates seamless collaboration among healthcare teams to ensure optimal patient care. With robust security measures in place, patient data remains secure and accessible only to authorized personnel. Salesforce Health provides care teams with convenient access to both clinical and non-clinical patient information, including health conditions, medications, appointment history, communication preferences, and data from Electronic Health Records (EHRs). Categorized under Salesforce Industry Clouds, Health Cloud combines CRM capabilities with specialized features tailored for healthcare providers, payers, medical device companies, and pharmaceutical manufacturers. Its goal is to deliver personalized, connected care across the entire, sometimes disjointed healthcare ecosystem. Why Use Salesforce Health Cloud? Salesforce Health offers benefits to various stakeholders within the healthcare industry, including providers, payers, manufacturers, and research organizations. In a challenging healthcare landscape, Health Cloud addresses concerns such as managing complex patient data and enhancing patient experiences effectively. Success stories from organizations like New England Biolabs and John Muir Health highlight the impact of Health Salesforce in streamlining operations, improving customer satisfaction, and enhancing care coordination. Despite its transformative potential, widespread adoption and success require rebuilding patient trust, delivering empathetic care, and prioritizing data security. Tools like Health Cloud play a crucial role in achieving these goals. The Health Cloud Data Model Central to Salesforce Health is the flexible Health Cloud Data Model, built atop the Salesforce Platform. This model organizes diverse healthcare data sources, leveraging standard objects like Accounts and Contacts alongside custom objects tailored for healthcare applications. The data model revolves around organizing data around the patient, providing care teams with a holistic view for informed decision-making and personalized care. It supports interoperability and adheres to healthcare data standards like HL7 and FHIR, enabling seamless integration with EHRs and other healthcare applications. Key Features of Salesforce Health Salesforce Health Cloud offers a suite of robust features, including: Patient 360: Provides a unified view of the patient, consolidating demographics, clinical data, and interactions for informed decision-making and personalized care. Care Plans: Enables care teams to create, track, and manage personalized care plans, incorporating goals, tasks, and milestones to monitor patient progress. Care Coordination: Facilitates collaboration among care teams, supporting secure messaging and information sharing across providers. Health Timeline: Offers an interactive visualization of a patient’s medical history, including encounters, lab results, and medications, aiding in understanding and decision-making. Einstein Analytics for Healthcare: Utilizes AI to deliver advanced insights and predictions, empowering organizations to enhance patient outcomes and operational efficiency. Patient 360 for Health In addition to existing features, Salesforce introduces new innovations under Patient 360 for Health, powered by AI. These updates include: Advanced Therapy Management: Streamlines treatment processes for pharmaceutical companies, offering full visibility into patient treatment. Salesforce Genie for Healthcare: Integrates real-time clinical and non-clinical data to create comprehensive patient profiles. AI-Supported Health Timeline: Enhances navigation and accessibility of patient records and journeys through AI. Home Health: Automates intake and scheduling for in-home treatment, optimizing patient preferences. Data Cloud for Healthcare: Connects clinical and non-clinical patient data from multiple sources into a real-time patient profile. MuleSoft Direct for Health Cloud: Provides out-of-the-box connectors to access EHR data, facilitating smoother integration. Tableau Accelerators for Health Cloud: Offers ready-to-use dashboards for various use cases, empowering teams with data-driven insights. Integration With MuleSoft Salesforce Health seamlessly integrates with MuleSoft, enabling organizations to connect with existing EHRs, billing systems, and healthcare applications. MuleSoft’s Anypoint Platform provides pre-built connectors and APIs to simplify integration and unlock the full potential of healthcare data. Salesforce Health Cloud is not only a powerful platform for healthcare organizations but also a catalyst for positive change in patient care and operational efficiency. By leveraging HC’s capabilities, healthcare organizations can deliver exceptional patient experiences, streamline processes, and ensure data security and compliance. With continuous integration and innovation within the Salesforce ecosystem, Health Cloud remains positioned to drive transformative change in the healthcare industry, addressing challenges and paving the way for a brighter future in healthcare. Considering Salesforce Health Cloud for your practice? Contact Tectonic today. 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 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

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Shifting KPIs With Real-Time Intelligence

Shifting KPIs With Real-Time Intelligence

Marketing without metrics is akin to driving blindfolded. To gauge the effectiveness of their efforts, marketers are investing in analytics capabilities to gain a precise understanding of how their messages, campaigns, and marketing expenditures impact their objectives. The ability to swiftly unlock these insights empowers marketers to promptly address customer needs and make well-informed decisions to propel business growth. This is bringing about Shifting KPIs With Real-Time Intelligence In contrast to 61% of underperforming marketers, a significant 72% of high-performing marketers can analyze marketing performance in real time. This real-time analysis provides them with a distinct advantage in responding to and optimizing campaign performance. However, a notable 33% of marketers still rely on manual processes for marketing attribution, a figure that has seen marginal improvement from 34% in 2020. In 2022, 68% of marketers claim they can analyze marketing performance in real time. For organizations aiming to enhance efficiency and maximize value, identifying the right metrics to track is imperative. As marketing budgets face rigorous scrutiny, analytics offer leaders the insights needed to optimize spending and reduce acquisition costs, reinforcing the value of marketing efforts. Shifting KPIs With Real-Time Intelligence The landscape of analytics has expanded, with marketers now monitoring a comprehensive set of metrics, including year-over-year revenue and customer satisfaction. Personalization and customer touchpoints have gained prominence, leading to increased tracking of web/mobile analytics, content engagement, and customer lifetime value. Marketers are now monitoring an extensive array of key performance indicators (KPIs), encompassing revenue, customer satisfaction metrics (CSAT), web and mobile analytics, customer acquisition costs, B2B sales funnel statistics, content engagement, customer retention rates, customer referral rates, and customer lifetime value. Despite the growing sophistication in tracking various metrics, marketers highlight measuring marketing ROI/attribution as their second most significant challenge. This indicates a continued need for streamlining the reporting process to enhance efficiency and effectiveness. 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

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Salesforce Managed Services

Confidential Computing

Confidential computing is a technology that protects data in use by isolating and encrypting it within a secure hardware-based environment, preventing unauthorized access or modification, even by cloud providers.  Details: 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

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Row-Level Formulas in Salesforce

Row-Level Formulas in Salesforce

Mastering Row-Level Formulas in Salesforce Reports What Are Row-Level Formulas? Row-level formulas perform calculations on individual records in your report, displaying results for each row. Unlike summary formulas that aggregate data across records, row-level formulas analyze one record at a time. Key Characteristics Creating a Row-Level Formula: Step-by-Step 1. Build Your Base Report 2. Add the Formula Column 3. Writing the Formula 4. Finalize & Save Practical Applications Row-level formulas help answer critical business questions: Important Limitations Be aware of these constraints when working with row-level formulas: Best Practices Troubleshooting Common Issues Problem: Formula Not Calculating Correctly Problem: “Too Many Fields” Error Problem: Formula Validation Fails Advanced Techniques For more sophisticated analysis: Permission Requirements To create and modify row-level formulas: Conclusion Row-level formulas provide powerful, granular analysis capabilities in Salesforce reports. While they have specific limitations, their ability to perform record-by-record calculations makes them indispensable for detailed operational reporting. By mastering these formulas, you can unlock deeper insights into your business processes while maintaining data accuracy and relevance. 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

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AI All Grown Up

Understanding Generative AI and Predictive AI

Understanding Generative AI and Predictive AI: A Synergistic Approach Artificial Intelligence (AI) is broadly categorized into two key branches: Generative AI and Predictive AI. Both play a crucial role across various industries, from healthcare and fintech to logistics and education. Their impact is undeniable, driving efficiency, accuracy, and innovation. However, this is not a debate about Generative AI versus Predictive AI. Instead, it is an exploration of both branches and how they contribute to technological advancement. Let’s dive in. Generative AI vs. Predictive AI: An Overview Generative AI has been around for decades, with early iterations like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). While these earlier models saw limited enterprise adoption, the success of ChatGPT demonstrated the vast potential of Generative AI in producing articulate, human-like content. Conversely, Predictive AI is widely used across industries to correlate data and support decision-making. It is particularly prevalent in applications like cybersecurity, inventory management, and digital twin technology. Businesses increasingly recognize the benefits of both AI branches. From automating processes to creating digital replicas for scenario testing, AI applications continue to evolve. The goal now is not to compare Generative AI and Predictive AI, but to understand their mechanisms and potential for seamless integration. Are you fully leveraging AI in your enterprise? If not, or if you have questions, feel free to reach out. Now, let’s delve into how these AI branches work. What is Generative AI? Generative AI is transforming industries by producing text, code, music, and even videos. Companies use it to analyze vast datasets and generate content instantaneously. Key Applications of Generative AI: By 2026, over 80% of businesses are expected to incorporate Generative AI into their workflows. While implementation can be complex, expert guidance can help streamline the process. How Does Generative AI Work? Generative AI leverages machine learning (ML) and big data to analyze input forms—such as text, images, or sound—and learn their structures. Once trained, it generates new content without merely replicating existing data, making it a powerful tool for innovation. Generative AI in Action: If you’re uncertain about how to implement Generative AI in your business, consulting with experts can provide clarity. What is Predictive AI? Predictive AI, or predictive analytics, forecasts future outcomes based on historical data. It empowers businesses to make informed decisions by identifying patterns and trends. Key Applications of Predictive AI: Predictive AI improves decision-making capabilities by analyzing large datasets and refining machine learning algorithms. Integrating it with other analytics tools enhances its effectiveness and mitigates implementation challenges. Predictive AI in Action: Predictive AI’s ability to anticipate market trends and consumer behavior makes it a valuable tool for businesses looking to stay ahead. Generative AI vs. Predictive AI: Key Differences While Generative AI focuses on creating new content based on learned data patterns, Predictive AI forecasts future outcomes using historical data. These two models are not competing forces; rather, they complement each other in building comprehensive business strategies. Both models require a strong foundation in data governance and cybersecurity to ensure ethical and effective AI implementation. The Future of AI: Generative vs. Predictive According to McKinsey, the combined impact of Generative and Predictive AI could contribute up to $4.4 trillion annually to the global economy. What’s Next for AI? Generative AI: Predictive AI: Both Generative and Predictive AI are poised to shape the future of AI-driven industries. Businesses that embrace both models will gain a competitive edge in innovation and strategic decision-making. Conclusion Generative and Predictive AI are not opposing technologies; they are complementary forces that drive efficiency, accuracy, and creativity. Their applications span numerous industries, proving their immense value in today’s tech-driven world. Navigating AI implementation can be complex, but expert guidance can simplify the process. If you have questions about integrating AI into your business, consulting with professionals can help you harness its full potential. The future of business is deeply intertwined with AI—taking the right steps today will ensure success in the years ahead. Let Tectonic take you to the AI 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

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Salesforce Data Cloud

Key Components of Salesforce Data Cloud

Salesforce Data Cloud organizes and unifies data across Salesforce and other external data sources.  After ingestion, it can drive personalization and engagement. Components of Salesforce Data Cloud to explore. Data Cloud expands Salesforce capabilities by using the best pieces of the developer-friendly Salesforce Platform and adding a highly scalable infrastructure. Data Cloud is an evolution of Customer Data Platform—which was originally designed for marketers but now caters to broader use cases beyond marketing.  The magic of Data Cloud is in creating experiences that wow customers. Key features and components of Salesforce Data Cloud include: 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

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Salesforce Service Cloud

Differences Between Salesforce Sales Cloud and Salesforce Service Cloud Explained

Salesforce Sales Cloud focuses on the sales process, while Salesforce Service Cloud is dedicated to customer service and support. Sales Cloud is designed for managing leads, opportunities, and sales forecasts, whereas Service Cloud is tailored for handling customer inquiries and cases. Both Sales Cloud and Service Cloud share critical features as they are built on the core Salesforce Platform. If your business primarily emphasizes sales, Sales Cloud is the ideal choice. If your focus is more on customer service, then Service Cloud is the preferred option. For businesses involved in both sales and customer service, both Sales Cloud and Service Cloud may be the best Salesforce solution. Difference Between Sales Cloud and Service Cloud: Sales Cloud streamlines sales and marketing efforts, focusing on lead management and increasing sales. Service Cloud helps support agents provide excellent customer service, resolving issues proactively. Functions Included in Service Cloud but not in Sales Cloud: Service Cloud includes specialized functions for customer support, such as omnichannel case routing, Web-to-Case and Email-to-Case conversion, and configurable assignment rules to streamline support agents’ work. Sales Cloud Features: Service Cloud Features: Agent Productivity (Service Cloud): Call Center Management (Service Cloud): Live Chat (Service Cloud): Customer Portal (Service Cloud): Ticket Management (Service Cloud): Like2 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

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revenue cloud

CPQ Revenue Cloud Billing Salesforce

Unleash the Power of Salesforce CPQ for Seamless Product Configuration: CPQ Revenue Cloud Billing Salesforce Maximize the potential of Salesforce CPQ to effortlessly configure all your products. Empower sales representatives with the knowledge to provide accurate quotes through guided product discovery, solution selling, and advanced configuration logic. Boost sales productivity by seamlessly integrating configure, price, and quote capabilities into your CRM system. Quickly generate quotes with guided selling flows, product bundles, and discounting rules while ensuring business risk mitigation through built-in controls, approval workflows, and compliance measures. CPQ Revenue Cloud Billing Salesforce: Elevate your sales operations with Salesforce CPQ and Revenue Cloud, driving growth and efficiency across all sales channels while ensuring seamless customer interactions and comprehensive revenue management. 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 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

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