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Salesforce Marketing Cloud Advertising Studio
04Oct

What is the Difference Between a CRM and a DMP?

A DMP uses first-, second-, and third-party data, stored temporarily, creating an audience profile. Data is obtained from various online and offline sources, and mobile sources. A CRM system is typically managed by a sales team, with limited data integration. Is CRM a DMP? While a DMP uses anonymous, third-party data, a CRM and a CDP use first-, second-, and third-party data. Goal. DMPs are built for prospecting, CRMs are built to manage and nurture customers, and CDPs help engage and personalize all phases of the customer experience. Is Salesforce a DMP? Salesforce DMP, called Audience Studio, is a platform that collects, stores, organizes, and centralizes data from different sources, own or external. It works in real time, unifying user data collected from multiple sources into a single profile for each customer. Salesforce proper, the database, is a CRM, not a DMP. Who uses DMP? Marketers who are getting started with audience segmentation for digital advertising can get the most utility out of a DMP. A DMP organizes all the data collected about a prospect or customer. Do you need a DMP? Use a DMP if you want to build marketing campaigns for audiences that are unfamiliar with your business. DMPs are best for this because of their use of third-party data. They can give you access to audiences that you don’t know. Why is CDP better than DMP? DMPs are effective for digital channels and audience segmentation. CDPs, on the other hand, are beneficial for social media websites, offline interactions, and insights into customer needs and purchase behavior. 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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October 4, 2021in Data, Salesforce, Salesforce Data Cloud
Salesforce Stakeholders
02Sep

Who Are Your Salesforce Stakeholders?

Understanding the intricacies of Salesforce and using it effectively to support business processes is crucial for admins and developers. However, the significance of communication skills is often overlooked in technical training. Beyond technical expertise, vital non-technical skills, such as active listening and extracting relevant information from business stakeholders, play a pivotal role in addressing Salesforce users’ true needs. Here is an approach that enables working more efficiently in a proactive mode rather than reactive. Once you identify your key salesforce stakeholders, here are some great ways to keep the doorways of communication open. Start by putting yourself in your stakeholders’ shoes, be it business users, customers, or consulting clients. Transitioning into Salesforce there is a need to gather information, empathize, and build a compelling case for change. Following are insights and strategies for effectively collaborating with stakeholders to understand business requirements, pain points, and objectives. If you’re keen on enhancing these skills, read on! Importance of Stakeholders As a Salesforce Administrator, collecting information from diverse stakeholders with varying knowledge levels is inevitable. It’s essential to recognize that the required information may not be thoroughly documented or held by a single individual. Engaging with individuals beyond primary users, such as those in supply chain and training, broadens the understanding of business processes. Maximizing the value of every interaction is crucial, considering the time constraints of both yourself and stakeholders. Determining Stakeholder Numbers The number of stakeholders to engage with depends on the project’s scope. Successful benchmarks have demonstrated varying needs: Identifying Stakeholder Groups Consider speaking with stakeholders in four directions: upwards, downwards, inside, and outside. Each group includes: The 3 Types of Stakeholders to Involve Locating Stakeholders Establishing a network within the organization is beneficial. For newcomers or consultants, navigating the terrain may be challenging. Start with the project sponsor for direction and inquire about additional contacts after each conversation. Preparation and Respecting Stakeholders’ Time Request meetings based on stakeholders’ availability, typically ranging from 15 to 45 minutes. Allocate an hour in your calendar to accommodate potential extensions. Prepare thoroughly, understanding whom you’re speaking to and having insights into the discussed system or process. Leaving the Door Open: Saying Thank You Upon closing a meeting, express gratitude and leave the door open for future conversations. Encourage stakeholders to contact you if they have further thoughts, and reciprocate by offering to send a quick note if additional insights emerge. Send a follow-up email expressing thanks and summarizing key takeaways. Incorporating these practices ensures effective communication with stakeholders, facilitating a more successful and collaborative Salesforce implementation. 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 2, 2021in Salesforce
Quest to be Data-Driven
14Jul

Quest to be Data-Driven

“Data-driven” is a business term that refers to the utilization of data to inform or enhance processes, decision making, and even the revenue model. The quest to be data-driven is afoot. In recent years, a data-driven business approach has gained a great deal of traction. It is true that every business deals with data — however, data-driven businesses systematically and methodically use data to power business decisions. Incorporating the notion of being a data-driven enterprise enriches the understanding of how data can profoundly impact business operations. Leveraging data not only offers valuable insights but also enhances adaptability, thereby sharpening the competitive edge of an organization. These insights serve as a foundation for making market predictions and adapting business strategies accordingly, often leading to revenue growth. While data may not provide solutions to all organizational challenges, embracing a data-driven approach lays a solid groundwork for achieving organizational goals. Data-driven contrasts with decision making that may be driven by emotions, external pressure, or instinct. So, what exactly constitutes a data-driven enterprise? It transcends mere number-crunching; it involves creating sustainable value for customers and innovating efficiently in the digital economy. Encouraging a data-driven approach across all facets of the business is paramount to success. Gaining data insights from data is invaluable. It allows organizations to reshape customer interactions, provided the data is accurate, accessible, and integrated into existing processes. However, many struggle to extract value from their data due to the complexity of transforming raw data into actionable insights. Understanding the hierarchy of data, information, and insights is crucial, as actionable insights drive data-driven success. Furthermore, adaptability emerges as a crucial factor in today’s rapidly evolving landscape. The ability to swiftly respond to changes and leverage data for informed decision-making is paramount. Data-driven insights serve as powerful tools for facilitating change and fostering agility, ensuring organizations remain competitive. Moreover, data serves as a catalyst for revenue generation through various business models such as Data as a Service (DaaS), Information as a Service (IaaS), and Answer as a Service (AaaS). By putting customer satisfaction at the forefront and leveraging data-driven insights, organizations can evolve their products proactively and drive growth. Building a data-driven enterprise involves a strategic approach encompassing nine key steps, including defining end goals, setting tangible KPIs, and fostering a data-driven culture across the organization. However, challenges such as deciding what to track, lack of tools or time for data collation, and turning data into meaningful insights may arise. Overcoming these challenges requires a cultural shift towards data-driven decision-making and the adoption of modern data architectures. Walking (or perhaps running) the data-driven journey with Tectonic involves connecting and integrating various data sources to ensure seamless data flow. By embracing a data-driven approach, organizations can unlock the full potential of their data, driving innovation, enhancing customer experiences, and achieving long-term success in today’s dynamic, rapidly evolving business landscape. Expanding upon this foundation, let’s go deeper into the transformative power of data-driven enterprises across various industry sectors. Consider, for instance, the retail industry, where data-driven insights revolutionize customer experiences and optimize operational efficiency. In the retail sector, understanding consumer behavior and preferences iscrucial to daily, quarterly, and annual success. By harnessing data analytics, retailers can analyze purchasing patterns, demographic information, and social media interactions to tailor marketing strategies and product offerings. For example, through personalized recommendations based on past purchases and browsing history, retailers can enhance customer engagement and drive sales. Moreover, data-driven insights enable retailers to optimize inventory management and supply chain operations. By analyzing historical sales data and demand forecasts, retailers can anticipate fluctuations in demand, minimize stockouts, and reduce excess inventory. This not only improves operational efficiency but also enhances customer satisfaction by ensuring products are readily available when needed. Furthermore, in the healthcare industry, data-driven approaches revolutionize patient care and treatment outcomes. Electronic health records (EHRs) and medical imaging technologies generate vast amounts of data, providing healthcare professionals with valuable insights into patient health and treatment efficacy. By leveraging predictive analytics and machine learning algorithms, healthcare providers can identify patients at risk of developing chronic conditions, enabling early intervention and preventive care. Additionally, data-driven approaches facilitate personalized treatment plans tailored to each patient’s unique medical history, genetic makeup, and lifestyle factors, improving treatment outcomes and patient satisfaction. In the manufacturing sector, data-driven strategies optimize production processes, enhance product quality, and reduce operational costs. By implementing Internet of Things (IoT) sensors and connected devices on the factory floor, manufacturers can collect real-time data on equipment performance, energy consumption, and production efficiency. Analyzing this data enables manufacturers to identify inefficiencies, minimize downtime, and proactively schedule maintenance to prevent costly equipment failures. Moreover, data-driven insights inform process improvements and product innovations, enabling manufacturers to stay competitive in an increasingly globalized market. The ultimately transformative impact of data-driven enterprises extends across various industry sectors, revolutionizing business operations, enhancing customer experiences, and driving innovation. By embracing a data-driven approach and leveraging advanced analytics technologies, organizations can unlock new opportunities for growth, efficiency, and competitive advantage in today’s data-loaded digital economy. Becoming data-driven requires harnessing the full potential of your data, transforming it into actionable insights, and iteratively refining your processes. Remember, data itself is not the ultimate goal but rather a powerful tool to drive informed decision-making and organizational growth. To establish a truly data-driven organization, consider the following nine steps: By following these steps, your organization can effectively harness the power of data to drive innovation, improve decision-making, and achieve sustainable growth in today’s data-driven landscape. Tectonic recognizes the challenges in the quest to be data-driven. We’ve launched a Data Cloud Salesforce Implementation Solution to help you. Content updated May 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,

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July 14, 2021in Data, Enterprise, Salesforce, Salesforce Data Cloud, Salesforce Health and Life Sciences Solutions, Salesforce Hospitality Travel and Transportation, Salesforce Manufacturing Automotive Energy, Technology
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
Python Alongside Salesforce
17Jun

Salesforce and Python

Python is not essential for Salesforce, but it can be extremely useful for various tasks, such as data analysis, automation, and integration: Salesforce’s Primary Programming Languages Salesforce’s primary programming language is Apex, which is used for backend development. For the frontend, Visualforce is used to build the user interface. Apex is similar to Java and allows developers to embed business logic within system events. Automating Data Extraction for Analysis In many organizations, analysts often need to automate the process of extracting data from Salesforce objects to perform data analysis or build reports locally. Previously, analysts followed a manual and time-consuming process to create KPI reports, which included: This method was prone to errors and inefficiencies. Fortunately, Python scripts and Salesforce’s API can automate the entire process. Retrieving Salesforce Data Using Python To get started, install the Simple Salesforce package, an open-source Python library that enables easy interaction with Salesforce’s REST API. This allows users to either download pre-built reports directly from Salesforce or create custom datasets using SOQL (Salesforce Object Query Language). Set Up Your Python Package and API Access Accessing Salesforce Data There are two primary methods for retrieving Salesforce data into a Python DataFrame: Automating Data Processing and Reporting Once you have your data in a DataFrame, you can perform data wrangling and aggregation tasks. You can export the results to a Google Sheet using the Google Sheets API and the pygsheets package, or ingest the data into a database table. aFurthermore, you can schedule your Python script to run automatically using a tool like Apache Airflow, which will run the script at designated intervals, aggregate the data, and update dashboards with the latest information. This approach automates the entire reporting process, saving time and reducing the likelihood of errors in your workflow. 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 17, 2021in Data, Google, 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
Salesforce CDP Explained
29May

Salesforce CDP Explained

What is a Customer Data Platform (CDP)? A Customer Data Platform (CDP) is one of the most transformative tools in modern marketing. Salesforce CDP Explained. If you’re exploring whether your business needs a CDP and how to begin using one, this guide will walk you through the essentials. CDPs have quickly become a go-to solution in marketing, popping up in reports and strategies everywhere. According to the 2020 State of Marketing Report, 86% of marketers who use CDPs are maintaining or increasing their usage, making many companies wonder: Do we need a CDP too? This insight serves as your step-by-step guide to help you determine whether your business should invest in a CDP, and how to successfully implement one for smarter marketing. What is a CDP? A Customer Data Platform (CDP) is a sophisticated piece of marketing technology designed to collect and organize customer data from various sources into centralized profiles. It helps businesses manage and draw actionable insights from data in real time, making it easier to personalize customer interactions. A typical CDP includes tools for customer data management, marketing automation, multichannel campaign execution, and real-time interaction management. It’s particularly useful when businesses need a database of user-level data to understand customer behaviors across touchpoints. Why Does Your Business Need a CDP? Salesforce CDP Explained CDPs excel in four core tasks: collecting, unifying, activating, and analyzing data. Introducing Salesforce’s CDP: Data Cloud Salesforce’s Data Cloud is a powerful CDP that integrates with Customer 360 to provide real-time customer profiles. It collects and unifies customer data in real time, ensuring businesses can deliver personalized customer experiences and foster stronger relationships. Data Cloud is scalable and designed for businesses of all sizes, with built-in security, compliance, and privacy features through Hyperforce. Benefits of a CDP Beyond basic segmentation, CDPs offer three major benefits: CDPs vs. CRM vs. DMP It’s important to understand the distinction between different data tools. While CRMs focus on managing customer relationships and interactions, and Data Management Platforms (DMPs) handle anonymous data for targeted advertising, CDPs are designed to unify and activate first-party data for personalized marketing. How to Choose a CDP When selecting a CDP, focus on two key areas: insights and engagement. Some CDPs specialize in integrating and analyzing customer data (insights), while others focus on delivering real-time personalized experiences (engagement). Salesforce’s Data Cloud combines both capabilities, offering real-time insights and activation to power personalized experiences across channels. To choose the right CDP for your business, ask these questions: Success Stories with CDPs CDPs have transformed the way businesses engage with their customers. One example involves a regional food and convenience store chain that implemented a CDP to enhance personalized digital experiences. By using customer data to tailor marketing emails and online interactions, the business saw a 16% increase in conversion rates on one of its key products. Getting Started with a CDP CDPs are essential tools for businesses looking to unify customer data, personalize marketing, and drive smarter marketing strategies. To get started, consider building a business case for CDP adoption, assembling a cross-functional team, and researching the right CDP to fit your organization’s needs. The journey to smarter, data-driven marketing begins with the right CDP. Make sure to explore Salesforce’s Data Cloud and other leading platforms to find the best fit for your organization’s growth and success. Content updated April 2023. 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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May 29, 2021in Data, Hyperforce, Marketing Automation, Salesforce, Salesforce Data Cloud, Technology
Case Management in Salesforce
19May

Case Management in Salesforce

What does Salesforce Case Management entail? Salesforce Case Management, as explained in the Service Cloud Introduction session, provides a platform for recording, tracking, and resolving customer issues across sales, service, and support. Advantages of utilizing a case management system: Case Management in Salesforce Salesforce Case Management allows the automatic collection of cases from various sources like email, social media, support centers, or web forms. It provides tools for categorizing, filtering, and adding notes to cases stored in the database. How can I establish case management in Salesforce? Utilize queues and automated rules to assign cases to your team without constant monitoring. By assigning cases to a queue, specific team members can select cases from a list, helping prioritize work. Auto-assign cases to queues or team members based on conditional rules. Distinguishing case management from CRM: While both case management and CRM assist in managing customer data and interactions, the key distinction lies in the fact that case management is tailored to monitor the progress of individual cases. Visibility of cases in Salesforce: If the organization-wide sharing default access for Cases is set to ‘Private,’ and ‘Grant Access Using Hierarchies’ is enabled, only the Case owner, the owner’s managers in the role hierarchy, Salesforce admins, and user profiles with the ‘View All’ object permission on Cases can view a Case. Can leads have cases in Salesforce? To associate a Lead with a Case, create a custom lookup field on Cases to the Leads object. This allows for a Cases related list on the Lead record. 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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May 19, 2021in Data, Salesforce, Salesforce Service Cloud
Salesforce Sales Cloud
07May

Salesforce for the Inside Sales Team

Inside sales serves as the cornerstone of a thriving sales organization. The efficient model using Salesforce for the inside sales team enables the delivery of personalized human interactions. Salesforce facilitates rapid scalability. Inside sales involves sales representatives engaging with and selling to customers via phone or digital channels rather than face-to-face interactions. This approach not only streamlines business operations but also fosters organizational and personal growth. Modern technology enhances the productivity and effectiveness of inside sales teams by providing valuable data and insights. Whether your team is making or receiving calls, employing the inside sales methodology, business development, or a similar approach yields results. This strategy, known as Sales Engagement, focuses on promptly connecting with customers through their preferred channels. In today’s fast-paced environment, buyers expect personalized engagement and that it aligns with their needs. Inside sales teams, often responsible for initial contact and research, play a crucial role in setting the stage for a successful sales process. Salesforce for the inside sales team provides that personalized engagement,. This example is actually how Salesforce itself handles inside sales. Inside sales teams can be structured as generalized, specialized, or segmented entities, catering to diverse business needs. Salesforce, following a Quantity and Quality approach, emphasizes multiple touches to nurture leads effectively. Leveraging advanced tools and strategic timing, Salesforce maximizes sales touches, ensuring engagement during opportune moments. The organization has mastered the art of striking while the iron is hot, reaching out to potential leads promptly after engagement. Salesforce combines quantity with quality, recognizing that 64% of customers expect personalized engagement based on past interactions and interests. Salesforce representatives meticulously research target companies to tailor personalized sales communications. Sales Engagement Of particular interest are the tools employed by Salesforce for inside sales. Sales Engagement, a solution automating record-keeping and streamlining the selling process, is accessible to all Salesforce customers as an add-on to Sales Cloud. With features like email integration, automated activity logging, Sales Dialer, and AI-driven tools like Einstein Lead Scoring and Einstein Conversation Insights, Salesforce empowers its inside sales teams. They work smarter, not harder. High Velocity Sales Salesforce’s Sales Engagement tool, formerly known as High Velocity Sales, enhances inside sales reps’ ability to engage buyers more efficiently, effectively, and with greater agility. With the right tools at their disposal, inside sales teams can provide a seamless experience, essential for winning and retaining new business. Tectonic recognizes the pivotal role of inside sales and supports our clients in optimizing their processes with Salesforce’s Sales Engagement tool, ensuring a more streamlined and productive approach to closing deals. Contact Tectonic today to discuss how Salesforce Sales Engagement can empower your inside sales team. 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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May 7, 2021in Data, Salesforce, Salesforce Einstein, Salesforce Sales Cloud, Technology
salesforce marketing cloud interaction studio
28Apr

Ampscript

What is AMPscript used for in Salesforce? What is its purpose? AMPscript is a useful scripting language that you can use across emails, landing pages, SMS, and push notifications in Salesforce Marketing Cloud Builders. AMPscript is Marketing Cloud‘s proprietary scripting language for advanced dynamic content in emails, landing pages, SMS, and push messages. Why use Marketing Cloud AMPscript? AMPscript allows you to extend Marketing Cloud functionality beyond its out-of-the-box capabilities because you can develop code and custom solutions, tailored to your own specific needs and requirements. What are some functions you can perform with AMPscript? Types of Functions in Marketing Cloud AMPscript: What are advantages of AMPscript compared to Ssjs? For the web developer who are new to both languages, for them AMPscript has a shorter learning curve compared to SSJS. AMPscript should be preferred for simple inline personalization, which includes content like name, salutation and simple IF ELSE loops. Using AMPscript To use AMPscript, you insert it into the content body of your messages at the point where you want it to render. When you send a message that contains AMPscript, Marketing Cloud Engagement interprets the code and substitutes it with the output of the AMPscript function. 3 Way to Add There are three ways to add AMPscript code to your content: by using inline code, by adding code blocks, or by using tag-based scripting. The first two of these methods use special delimiters to denote the beginning and ending of the code that you want Marketing Cloud Engagement to interpret. In the third method, you delineate the AMPscript code with <script> tags. When you close an AMPscript block, use the same type of closing delimiter as you used to open the block. For example, if you open a block using tag-based scripting, you can’t close it by using the closing code block delimiter. Use the %%= and =%% delimiters to add AMPscript code inline with your content. Inline AMPscript is frequently used within HTML tags to dynamically populate the content of a message. In this basic example, a section of AMPscript is included inline within an HTML <p> tag. You can also include multi-line blocks of AMPscript code in your messages. Use the %%[ and ]%% delimiters to begin and end a code block, respectively. With a code block, you can define multiple variables and execute multiple functions. Code blocks use the syntax shown in this example. Tag-based syntax for AMPscript standardizes the syntax used to declare AMPscript blocks with the syntax of Server-Side JavaScript (SSJS). This syntax makes it easier for developers to switch between AMPscript and SSJS. 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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April 28, 2021in Salesforce Marketing Cloud
Einstein Discovery
21Apr

Einstein Discovery Analysis

Elevate Your Business Outcomes with Einstein Discovery Analysis Einstein Discovery revolutionizes your approach to predictive analytics, allowing you to effortlessly build reliable machine learning models without any coding. Reduce reliance on data science teams with an intuitive model-building wizard and streamlined monitoring process. Transition swiftly from data to actionable insights, ensuring every decision is guided by intelligence. Enhance Your Business Intelligence with Einstein Discovery Incorporate statistical modeling and machine learning into your business intelligence with Einstein Discovery. Seamlessly integrated into your Salesforce environment, operationalize data analysis, predictions, and enhancements with clicks, not code. Developers can utilize the Einstein Prediction Service to access predictions programmatically, while data specialists can predict outcomes within recipes and dataflows. Tableau users can also leverage Einstein Discovery predictions and improvements directly within Tableau. Advanced Analytics Made Simple with Einstein Discovery Einstein Discovery offers a comprehensive suite of business analytics tailored to your specific data needs. Licensing and Permission Requirements for Einstein Discovery To utilize Einstein Discovery, your organization needs the appropriate license, with user accounts assigned relevant permissions. Supported Use Cases and Implementation Tasks Einstein Discovery solutions effectively address common business use cases, typically involving a series of defined implementation tasks. Key Differentiation: Einstein Analytics vs. Einstein Discovery While Einstein Analytics integrates predictive and analytical capabilities within Sales, Service, and Marketing clouds, Einstein Discovery is specifically focused on providing actionable insights and data-driven stories. Key Benefits of Einstein Discovery Supported Data Integration and Functionality Einstein Discovery enables direct integration and import of data from external sources like Hadoop, Oracle, and Microsoft SQL Server. It extracts data from diverse sources, leveraging AI, ML, and statistical intelligence to identify patterns and generate informed predictions. Enhanced Features Einstein Discovery seamlessly integrates insights into Tableau workflows, unlocks insights from unstructured data, fine-tunes prediction accuracy with trending data, handles missing values in datasets, accelerates prediction processing with high-volume writeback, and offers enhanced settings panels for efficient prediction management. Partner with Tectonic for Expert Guidance Collaborate with experienced Salesforce services providers like Tectonic to maximize the benefits of Einstein Discovery, ensuring a seamless implementation process and ongoing support. Empower Your Business with Einstein Discovery Einstein Discovery delivers automated data analysis, interactive visualizations, and predictive insights to elevate decision-making and optimize business operations. Unlock the power of AI-driven analytics within your Salesforce ecosystem to accelerate growth and gain a competitive edge. 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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April 21, 2021in Data, Google, Salesforce, Salesforce Einstein, Unified Knowledge
marketing cloud utm parameters
07Apr

What Are UTM Parameters in Marketing Cloud

What Are UTM Parameters in Marketing Cloud? UTM parameters are essential for tracking the effectiveness of your marketing messages by linking user clicks to actions on your website within Marketing Cloud. Once set up, the Marketing Cloud Engagement tool automatically adds these parameters to the URLs in your messages, enabling detailed performance tracking. You can track five key UTM parameters: source, medium, campaign, term, and content. These parameters are captured in Google Analytics reports, offering insights into your marketing efforts, such as total goal conversions, bounce rate, and average time spent on your site. What is a UTM Code? A UTM (Urchin Tracking Module) code is a text string appended to a URL to help monitor the performance of digital marketing campaigns. UTM codes include up to five key parameters: Campaign, Source, Medium, Content, and Term. UTM Parameter Channel Support: Example URL with UTM Parameters: arduinoCopy codehttps://www.example.com?utm_source=sfmc&utm_medium=email&utm_campaign=TestCampaign&utm_term=MyLink123&utm_content=123456&utm_id=f521708e-db6e-478b-9731-8243a692c2d5&sfmc_id=245678&sfmc_activityid=598741568 Parameter Breakdown: For more on UTM parameters, refer to the Google Analytics documentation. Configuring UTM Parameters in Marketing Cloud Engagement In Google Analytics 4 (GA4), UTM parameters are automatically appended to links in all sent messages unless the domain or subdomain is not on the allowlist in Journey Builder Settings. They will also not apply if click tracking is disabled. Adding UTM Parameters in Salesforce To track UTM parameters in Salesforce, follow these steps: Tracking UTM Parameters in Salesforce There are four primary methods to track UTM parameters and attribution data within Salesforce: Content updated March 2023. 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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April 7, 2021in Data, Google, Google Analytics, Salesforce, Salesforce Marketing Cloud

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