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Headless Commerce is the Future of E-Commerce
18Oct

Headless Commerce is the Future of E-Commerce

Why Headless Commerce is the Future of E-Commerce You’ve likely heard it said time and again: the future of e-commerce is headless. But why is this prediction so widespread? Why are 35% of businesses expected to adopt a headless architecture by 2025? high-code headless solutions and commerce-oriented analytics platforms come into play. Headless commerce is the future of e-commerce. Headless commerce refers to a system where the frontend of your website—encompassing the storefront and user experience—is decoupled from the backend, which handles data, functionality, and business logic. Recent statistics reveal that businesses adopting headless commerce have reduced time to market by 50%, increased site performance by 30%, and decreased the time spent on upgrades and bug fixes by 34%. Headless Commerce – Future of E-Commerce There are four key ways in which headless commerce enhances performance: 1. Personalization at Scale Headless architecture centralizes customer data and separates content creation from delivery, enabling businesses to personalize content and experiences more effectively across multiple touchpoints. 2. Greater Control Over Experiences Decoupling the frontend from the backend gives businesses full control over website functionality, performance, SEO, design, and layout. Changes can be made to the frontend without impacting backend systems, allowing for greater flexibility and responsiveness. 3. Enhanced Performance and Flexibility With smaller, more focused frontends, data loading becomes more efficient, resulting in faster site performance and optimized media. Headless architecture also allows for seamless integration with third-party systems, enabling businesses to adapt and evolve as needed. 4. Fostering a Culture of Experimentation The flexibility and control offered by headless commerce equip teams with the tools to experiment regularly and rigorously. This fosters a culture of experimentation, which can drive continuous improvement and innovation. While the first three benefits of headless commerce are valuable on their own, it’s the ability to support a culture of experimentation that truly sets headless apart. When these advantages come together, businesses can achieve a cumulative impact that significantly enhances their performance. Let’s explore how an experimental mindset can unlock the full potential of headless commerce. Nurturing a Culture of Experimentation with Headless Commerce The agility and efficiency of a headless approach empower e-commerce brands to build a culture centered on testing and optimizing customer experiences. However, experimentation inherently involves risk. Any new experience introduced to your website will affect its performance and user experience—ideally for the better, but there are no guarantees. The challenge, then, is how to mitigate those risks effectively. The good news is that a culture of experimentation and calculated risk-taking provides brands with continuous data-gathering opportunities, leading to better decision-making and improved outcomes. The key is ensuring that your business has complete data visibility. To minimize risks during testing and address potential issues quickly, you need full visibility into how every change impacts your site and customer experience. This allows your team to identify what’s working, troubleshoot what isn’t, and make informed decisions based on real-time insights. Rapid deployment of new experiences can then become a true competitive advantage, enabling you to leverage data-backed insights to enhance your digital offerings. Experimenting Safely with Headless Commerce To illustrate this, imagine a scenario where you’re A/B testing on your headless site. Suppose you discover that your checkout abandonment rate is higher than the industry average, and you hypothesize that a lengthy checkout process is to blame. You decide to run an A/B test comparing two versions of the checkout flow to see if a shorter process yields better results. However, deploying this test introduces an unexpected error in one variation, skewing your results. Without visibility into site errors, you might not even realize the issue, leading to confusing or inconclusive test outcomes. This is where high-code headless solutions and commerce-oriented analytics platforms come into play. They provide the necessary visibility and monitoring to support a culture of experimentation while minimizing risks. A platform like Noibu, a performance and error monitoring solution designed specifically for e-commerce, can help you navigate these challenges with agility. By continuously monitoring your site, Noibu detects any issues that arise during changes, alerts your team, and provides detailed technical insights to address the root cause quickly. This ensures that your experiments remain unaffected, allowing you to test freely without fearing conversion drops or revenue loss. This type of software acts as a safety net, promoting extensive experimentation by monitoring your site for potential errors and encouraging calculated risk-taking. Case Study: Ribble Cycles and the Benefits of Headless Commerce Ribble Cycles transitioned to a headless architecture and experienced greater freedom and control. Matthew Lawson, Chief Digital Officer, shares, “Choosing a headless/composable architecture for Ribble Cycles has given us unparalleled flexibility and control… [allowing] us to decouple the front end from backend services, enabling rapid iteration and unique, customer-centric features.” To mitigate the risks associated with site changes, Ribble Cycles turned to Noibu, an error-detection platform that allowed them to experiment and test solutions with reduced risk. “While headless brings risks, such as unforeseen impacts from changes, we mitigate these with advanced analytics and monitoring tools like Noibu,” Lawson notes. “These tools help us detect and resolve issues in real time, reinforcing a positive risk-taking culture and driving better results for our brand and customers.” With complete visibility into the impact of their experiments, Lawson’s team is now in control and reaping the rewards of their headless commerce strategy. “Best decision we have made,” adds Lawson. “We have a roadmap to take it even further.” 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

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October 18, 2021in Salesforce
Salesforce Omni-Channel
28Sep

Salesforce Omni-Channel

Omni-Channel in Salesforce is a feature embedded within the Customer Service and Console, facilitating the automated routing of various work items like Leads and Cases to agents. This feature intelligently distributes work items based on agent capacity, priority, skillset, and other factors. The multichannel approach emphasizes customer engagement, whereas the omnichannel strategy prioritizes customer experience. Multichannel endeavors to engage customers across various channels to enhance interaction, a fundamental metric in this approach. Routing Work with Omni-Channel: Omni-Channel is a versatile, customizable feature that can be configured without coding. It enables the management of work item priorities, ensuring prompt assignment of critical tasks to agents. Agents’ workload can be optimized to match their capacity, ensuring they handle an appropriate number of assignments. Moreover, agents can be designated for specific types of tasks, streamlining workflows. Omni-Channel routes work requests to available and qualified support agents within the application. Real-time operational insights are provided to supervisors through Omni Supervisor, eliminating the need for manual assignment selection. This efficiency saves time, effort, and enhances productivity, enabling agents to assist customers promptly and effectively. Important Note: Routing logic is applied upon work item assignment, and subsequent changes to field values do not trigger reapplication of routing logic. Omni-Channel is compatible with both Lightning Experience (preferred) and Salesforce Classic, functioning seamlessly in standard and console apps. Enhanced Omni-Channel is recommended over Standard Omni-Channel due to its superior features and ongoing development focus. It offers enhanced experiences for agents and supervisors, aligning with future Omni-Channel advancements. Set Up and Testing: Utilize Omni-Channel to route work items to queues, agents, skills, and Einstein Bots (on supported channels). Configuration options include Omni-Channel flows, catering to diverse business needs. Ensure successful implementation by setting up Omni-Channel to route incoming work items to qualified and available support agents seamlessly across console and standard apps. Subsequently, test the implementation to verify its functionality. Agent and Supervisor Management: Leverage Omni Supervisor to manage agents, queues, and skills efficiently. This tool provides comprehensive oversight, optimizing resource allocation and performance tracking. Customer Support and Benefits: Deliver real-time customer support across preferred communication channels, such as phone, messaging, or chat. Omni-Channel enhances customer insights, satisfaction, agent productivity, and operational cost-effectiveness, differentiating your business in the competitive landscape. Limitation Awareness: In instances where Omni-Channel agents encounter “LIMIT_EXCEEDED” errors, it may indicate queue capacity constraints. Monitoring queue load and managing work item volume is essential to prevent disruptions in routing and ensure uninterrupted 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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September 28, 2021in Salesforce
Integration
12Jul

Migrate to Salesforce

How is data migrated to Salesforce? You can migrate data by importing or inserting records from another Salesforce legacy source, organization, or other external source into a new target organization. It’s important to import object data in a particular order to maintain record relationships. Salesforce Data Migration Tools. The tools that perform data migration are of the ETL type (extract, transform and load) and there are a wide variety available. Some are suitable for beginners or non-programmers, while others may be preferred by developers. How long does Salesforce migration take? Based on our previous experiences, the typical timeframe for a Salesforce data migration process ranges from 20 days to approximately 2.5 months. Automated data migration tools are available to import and export data between different Salesforce orgs. How difficult is Salesforce data migration? In the grand scheme of things migration is a more challenging project and will vary greatly depending on the format, accuracy, and size of the data source or sources. What are the phases of Salesforce data migration? The three general phases of the migration project are preparation, migration, and user acceptance testing. Preparation is the most critical step. First off you have to develop a data migration plan complete with timelines, dependencies, and milestones. Preparation of the data and cleansing and mapping to Salesforce are topics for an entire additional article. Then the migration itself begins and everyone involved must be aware of any downtime this could create. Finally once the data has been migrated to Salesforce you have to ensure it is transferred correctly and check it for accuracy. You can migrate data by importing or inserting records from another Salesforce legacy source organization or other external source into a new org as well. If this primer has you concerned about your Salesforce data migration project, contact Tectonic today. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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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July 12, 2021in Salesforce
public sector and tribal governent
10Jun

What is BI in Salesforce?

Salesforce BI helps to create fast, digestible reports to help you make informed decisions at the right time. Salesforce Einstein is a leading business intelligence software solution that will help streamline your operations. Read on in this insight to learn how Salesforce BI capabilities including Tableau rank in the Gartner Magic Quadrant. Make the right decision every time using analytics that go beyond business intelligence software. See why Gartner named Salesforce (Tableau) a Leader in the Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms for the 11th consecutive year. Data and analytics leaders must use analytics and BI platforms to support the needs of IT, analysts, consumers and data scientists. While integration with cloud ecosystems and business applications is a key selection requirement, buyers also need platforms to support openness and interoperability. Analytics and business intelligence (ABI) platforms enable less technical users, including business people, to model, analyze, explore, share and manage data, and collaborate and share findings, enabled by IT and augmented by artificial intelligence (AI). For several years, the Magic Quadrant for Analytic and Business Intelligence Platforms has emphasized visual self-service for end users augmented by AI to deliver automated insights. While this remains a significant use case, the ABI platform market will increasingly need to focus on the needs of the analytic content consumer and business decision makers. To achieve this, automated insights must be relevant in context of a user’s goals, actions and workflow. Many platforms are adding capabilities for users to easily compose low-code or no-code automation workflows and applications. This blend of capabilities is helping to expand the vision for analytics beyond simply delivering datasets and presenting dashboards. Today’s ABI platforms can deliver enriched contextualized insights, refocus attention on decision-making processes and ultimately take actions that will deliver business value. In addition to the increasing consumer design focus trend, we see other key market trends, including the need for improved governance of analytic content creation and dissemination, and the demand for a headless, open architecture. For example, a headless ABI platform would decouple the metrics store from the front-end presentation layer, enabling more interoperability with competitive products. ABI platform functionality includes the following 12 critical capabilities, which have been updated to reflect areas of market change, differentiation and customer demand: Gartner added three new critical capabilities as part of our metrics store evaluation criteria this year:  ABI platforms have always been about measurement. For decades, the slicing and dicing of measures by their dimensional attributes was synonymous with the act of performing business intelligence. However, over the last decade, the focus on metrics and measurement was overshadowed by data visualization. As data visualization became the most conspicuous capability, some business executives began to conflate ABI platforms with data visualization — as if ABI platforms are glorified chart wizards. This misconception minimizes much of the work performed and the business value delivered by ABI platforms. Establishing metrics stores as a critical capability to execute makes it clear that defining and communicating performance measures throughout an organization is one of the key purposes of an ABI platform. Analytics collaboration is a combination of many features (such as Slack/Teams integration, action frameworks) that collectively improve an organization’s ability to make decisions with consensus. Data science integration reflects the increasing likelihood that a business analyst may want to use data science to test certain hypotheses, and that data scientists will need to leverage features such as data prep and data visualization. In addition, Gartner is changing “catalogs” to “analytic catalogs” to emphasize a set of requirements that are not being met by ABI platform vendors today. Most large enterprises have thousands of reports built across multiple ABI platforms, but consumers in these organizations have no easy way to access these reports. The name change to analytic catalogs reflects the need for ABI platform vendors to deliver analytic content with the consumer in mind. Three critical capabilities were removed from our evaluation criteria: security, natural language generation (NLG; rolled into data storytelling) and cloud analytics (which will no longer be considered a platform capability, but instead a go-to-market strategy covered in the Magic Quadrant). And one of the security sub-criteria, about the granularity of authorization (e.g., row-based security) has been moved to the enterprise reporting capability. Salesforce (Tableau) Tableau, a Salesforce company, is a Leader in this Magic Quadrant. Its products are mainly focused on visual-based exploration that enables business users to access, prepare, analyze and present findings in their data. CRM Analytics, formerly Tableau CRM, provides augmented analytics capabilities for analysts and citizen data scientists. Tableau has global operations and serves clients of all sizes. In 2022, Tableau reinforced its augmented consumer vision to provide contextualized insights with deeper integration with Salesforce Data Cloud. IT also improved decision intelligence by bringing domain-aware insights into action with Revenue Intelligence and other Salesforce-native apps. The extensible design and x-platform integrations (Salesforce Flow, MuleSoft, UiPath and Looker) further enable composable analytics to bring insights into workflow with agility. Strengths Cautions 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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June 10, 2021in Artificial Intelligence, Data, Enterprise, Google, Mulesoft, Salesforce, Salesforce Data Cloud, Salesforce Einstein, Salesforce Flow, Salesforce Managed Services, Technology
Progressive Profiling in Salesforce Marketing Cloud
02Mar

Progressive Profiling in Salesforce Marketing Cloud

In the world of marketing, the primary focus revolves around data accumulation. The more data collected, the deeper the understanding of prospects or customers, leading to the creation of a more comprehensive individual profile. Enter Progressive Profiling in Salesforce Marketing Cloud. Progressive profiling emerges as an effective method for data collection, enabling the gradual enrichment of an individual’s profile over time. This approach prevents overwhelming data collection methods that could potentially drive prospects away. Or at least prevent them from filling out your forms. While Progressive Profiling is a built-in feature in Pardot, Marketing Cloud Consultants and Admins often seek ways to implement it. In this insight, we’ll demonstrate how to achieve Progressive Profiling in Marketing Cloud through a custom solution on CloudPages, deviating from conventional Smart Capture Forms. Progressive Profiling in Salesforce Marketing Cloud: Use Case Let’s outline the use case: a landing page/cloud page that unfolds as follows: First Visit: Display a simple form with fields for First Name, Last Name, and Email Address. Second Visit: Present the same form but accompany it with a ‘Welcome Back’ message. Third Visit: If the prospect submits the form and returns later, showcase a different form with additional fields like company name and service feedback, posing the question, “do you like our service?” How Progressive Profiling Works First Visit: Set a cookie when a user visits the landing page. Second Visit: Check for the existence of a cookie; if present, display the welcome message with the form. Third Visit and Beyond: Upon form submission, add values to a data extension (including the cookie). Subsequent visits involve checking for the cookie’s presence in the data extension, revealing different form fields if applicable. Setting Up Progressive Profiling in Marketing Cloud Step 1: Create a Data Extension Establish a data extension to store form values. Step 2: Create the CloudPage Utilize the provided code snippet. Step 3: Test the Progressive Profiling A demo video showcases the testing process. Considerations GDPR and Privacy: Adhere to GDPR laws; ensure explicit consent for placing cookies and tracking individuals. Consult your legal team for additional disclaimer requirements. Google Chrome Same Site Cookie Change: Be mindful of changes in Google Chrome’s Same Site Cookie policy, adjusting the code in SSJS accordingly to comply with Chrome version 76 or later. Cache and Browser Changes: Note that clearing the cache or switching browsers generates a new cookie, displaying the original form. This insight hopes to elucidate the implementation of Progressive Profiling in Marketing Cloud through a custom solution on CloudPages, leveraging SSJS and other elements. While gaining Progressive Profiling functionality, strategic consideration of the fields to request at each stage is crucial before implementing any technology. 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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March 2, 2021in Salesforce Marketing Cloud
Salesforce Einstein Vision
16Jul

Salesforce Einstein Vision

Einstein Vision: Enhancing Document Personalization with AI Introduction to Einstein Vision Harness the power of artificial intelligence (AI) to personalize documents with Salesforce Einstein Vision. The latest updates allow you to extract structured data from custom forms and invoices using Einstein OCR (beta), revolutionizing how you handle and process documents. Extract Data from Custom Forms with Einstein OCR (Beta) Einstein OCR (Optical Character Recognition) now enables rapid data extraction from custom forms such as insurance, mortgage, and healthcare documents into Salesforce records. The OCR model analyzes the layout and content of your custom forms, extracting values based on user-defined fields. Extract Data from Invoices with Einstein OCR (Beta) Similarly, Einstein OCR can quickly extract structured data from invoices, converting it into Salesforce records. The OCR model identifies and extracts values from predefined fields such as invoice number, date, due date, purchase order, total amount, total tax amount, and amount due. New Capabilities in Einstein OCR What is Einstein Vision? Einstein Vision, part of the Einstein Platform, is more than just a tool for recognizing images. It combines ease of use with powerful technology to enable innovative use cases in various Salesforce Clouds. Einstein Vision includes functionalities like Image Classification, Object Detection, and OCR, each with distinct capabilities. Setting Up Einstein Vision Applications of Einstein Vision Einstein Vision is applicable across various Salesforce Clouds: Conclusion Einstein Vision simplifies and enhances document processing and image analysis. By focusing on defining clear use cases and maintaining high data quality, you can unlock the full potential of Einstein Vision. Embrace AI to streamline your workflows and drive creative solutions in your Salesforce environment. Content updated February 2024. 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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July 16, 2020in Salesforce Einstein
Marketing Cloud Cloudpages
01Jun

Salesforce Marketing Cloud Cloudpages

Utilize the CloudPages builder in Marketing Cloud Engagement to effortlessly publish targeted marketing content across multiple channels. CloudPages, a feature within Salesforce Marketing Cloud, offers drag-and-drop tools and pre-built templates for creating and publishing landing pages, preference center pages, and more. Salesforce Marketing Cloud empowers efficient marketing processes and streamlined customer relationship management. It enables the creation of customer profiles and tracking of interactions across various channels, including email, social media, and web interactions. CloudPages facilitates the automatic saving of Smart Capture block data, addition of default content versions to multiple destinations, and the design and preview of content in the audience’s format. For customer experience, CloudPages ensures a seamless process where prospects view and convert on pages using capture forms, with their data instantly updated in relevant Data Extensions. They are efficiently added to Journey Builder flows and receive tailored marketing communications promptly. Organize information for specific destinations, such as landing pages or microsites, with a Cloud Pages collection. Landing pages, created with Cloud Pages, can include custom forms with Ampscript and can be embedded in emails and websites. CloudPages smart capture forms can be used as a Journey Builder Entry Event. The difference between landing pages and CloudPages lies in CloudPages being an application within Marketing Cloud that can publish to various destinations, including Landing Pages. Marketing Cloud Engagement, with the inclusion of Cloud Pages, aids in conversions by providing a drag-and-drop interface for easy creation of landing pages, eliminating the need for complex coding. To create a landing page in Marketing Cloud, navigate to Web Studio > Cloud Pages, create a new collection, and within it, click ‘Create’ and select ‘Landing Page.’ Building CloudPages is user-friendly, featuring a drag-and-drop interface with templated layouts, content blocks, and dynamic content options. It allows easy insertion of text, images, buttons, forms, and more. Salesforce Marketing Cloud differs from Pardot, with Pardot being closely integrated with sales on the Salesforce core platform, while Marketing Cloud operates as a separate application. Landing pages are still crucial, as research indicates that businesses with more landing pages tend to experience higher conversion rates. The term “landing page” refers to a campaign-specific page with a single call to action and no website navigation. Insider tips for using Cloud Pages include making content relevant with Dynamic Content blocks, avoiding information overload, ensuring mobile-friendliness, and experimenting with different page versions for optimal performance. Content updated September 2023. 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 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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June 1, 2020in Salesforce Marketing Cloud
Salesforce Marketing Cloud Email Studio
13Feb

Salesforce Marketing Cloud Email Studio Explained

While Journey Builder guides your customers’ journey, Salesforce Marketing Cloud Email Studio empowers you with the tools needed to craft the email content for your campaigns and journeys. Featuring robust functionalities, Email Studio facilitates the creation of polished emails, offering customizable elements, scripting languages, and personalized real-time content. With Salesforce Marketing Cloud Email Studio, you can effortlessly build and send personalized emails, ranging from basic newsletters to intricate campaigns. It allows you to deliver various types of messages, including promotional, transactional, and triggered messages, while also providing tracking and optimization tools to enhance performance. What does Email Studio offer? Email Studio enables you to automate transactional communication and send personalized messages to specific target groups. It also supports the delivery of timely triggered messages aligned with customer journey milestones across digital channels. Effortlessly manage content across distribution channels by tagging, searching, and sharing within Email Studio. Additionally, the platform simplifies the creation of a comprehensive customer view by integrating data from any source through powerful contact management. What sets Email Studio apart from Contact Builder? Email Studio introduces the capability of creating folders within your Synchronized Data Extension folder, a feature not available in Contact Builder. This distinction allows you to organize your Synched Data Extensions efficiently by moving them into subfolders. Distinguishing Email Studio from Content Builder: 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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February 13, 2020in Salesforce Marketing Cloud

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