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Sending Emails Through Salesforce

Journey Builder or Automation Studio

Both Journey Builder and Automation Studio are robust tools available to Marketing Cloud customers. However, determining when to use each one and how they complement each other can sometimes be confusing. Automation Studio primarily focuses on ETL (Extract, Transform, Load) processes in marketing automation. It enables marketers to integrate data from various systems and automate tasks for segmentation and email campaign deployment. With Automation Studio, marketers can create highly advanced automated segmentation using data filters and queries, making it ideal for repetitive processes. It also allows users to execute SQL queries to retrieve and store data extension information. On the other hand, Journey Builder is a user-friendly, drag-and-drop tool designed for creating personalized, engagement-based customer journeys. It facilitates individualized, multi-channel communications at scale and provides goal and success measurements for monitoring and management. Unlike Automation, Journey Builder offers more opportunities for testing strategies and optimizing messages based on real-time engagement and interaction. One key difference between the two tools is that Journey Builder offers built-in goal reporting, providing real-time insights into campaign performance and customer engagement. Another distinction is that while Automation Studio relies on batch processing, Journey Builder allows individuals to enter journeys on an individual level, enabling real-time monitoring and action based on customer behavior. To decide which tool to use, consider the following questions: In many cases, it’s not a matter of choosing between Journey Builder vs Automation Studio but rather leveraging both tools together. By combining the powerful segmentation capabilities of Automation Studio with the personalized journey creation features of Journey Builder, marketers can deliver highly targeted and personalized messaging to their customers. Automation Studio is best for complex segmentation at scale, while Journey Builder guides customers through customized journeys based on Marketing Cloud data. Ultimately, using both tools together allows marketers to create seamless, personalized experiences for their customers. Like1 Related Posts 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 Data Studio Data Studio Overview Salesforce Data Studio is Salesforce’s premier solution for audience discovery, data acquisition, and data provisioning, offering access Read more Marketing Cloud Account Engagement and Salesforce Campaigns The interplay between Account Engagement and Salesforce Campaigns often sparks confusion and frustration among users. In this insight, we’ll demystify Read more Integration of Salesforce Sales Cloud to Google Analytics 360 Announced In November 2017, Google unveiled a groundbreaking partnership with Salesforce, outlining their commitment to develop innovative integrations between Google Analytics Read more

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Slack and Salesforce

Salesforce Acquires Slack

The buzz surrounding the Salesforce Acquires Slack announcement has been ongoing, culminating in the official approval on December 1, 2020, with Salesforce, a leading CRM entity, acquiring Slack for a substantial $27.7 billion. Salesforce’s CEO, Marc Benioff, hailed the acquisition as a ‘match made in heaven,’ and this sentiment resonates widely. While Salesforce had previously ventured into the collaboration space with Chatter, Community Cloud, and Quip, the results weren’t as impactful as desired. However, the incorporation of applications and data integration through Mulesoft and business intelligence via Tableau bolstered Salesforce’s toolkit. The addition of Slack solidifies Salesforce’s entry into the communication and collaboration domain. This acquisition signals a transformative shift in the digital work landscape, particularly for digital natives. It signifies a strategic move by Salesforce to enhance its focus on customer-facing tools and delve into the employee engagement market. The collaboration with Slack positions Salesforce to address the market dynamics more effectively. The integration of Salesforce’s CRM capabilities with Slack’s platform, which unites people, data, and tools for seamless collaboration, is poised to reshape the market. Slack’s open platform, with integration capabilities spanning 2400 apps, positions Salesforce to tap into a broad user base. The collaboration will contribute revenue and data to fuel Salesforce’s AI projects, amplifying its capabilities. The impact on Microsoft is noteworthy, as Slack becomes a formidable competitor to Microsoft’s Teams. This intensifies the competition in the cloud services arena, particularly amid the accelerated shift towards remote work. For users, the amalgamation of Salesforce and Slack promises to create a new ‘operating system’ for businesses navigating the digital landscape. This unified platform aims to simplify organizational workflows, connecting employees, customers, and partners seamlessly. Key implications for users include the ability to: Salesforce’s plan to integrate Slack with its Customer 360 software and designate Slack as its new interface underscores its commitment to revolutionizing communication, collaboration, and action on customer information. The user benefits extend to facilitating conversations among sales teams, customers, and playing a pivotal role in customer service. The recent introduction of Slack Connect, enabling communication and collaboration with external partners, further expands Slack’s utility. Salesforce’s extensive enterprise app ecosystem combined with Slack’s capabilities sets the stage for a robust open ecosystem of apps and workflows. This collaborative environment empowers developers to innovate and create applications that align with customer preferences. While Salesforce envisions future revenue and growth through the integration of Slack, the operational intricacies of this merger may pose challenges. Salesforce’s past strategies suggest an initial hands-off approach, allowing Slack to operate independently. This acquisition marks the initial steps toward reshaping how we work, collaborate, and automate workflows and business processes in the cloud. Content updated December 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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persist campaign data

Persist Campaign Data

This tag stores data in both the page referrer and URL parameters within a browser cookie. This cookie proves useful, particularly on conversion pages or when user consent has been obtained, allowing the session to be correctly attributed to the relevant campaign. Furthermore, this template offers a solution to the rogue referral issue. By enabling the “Store campaign data in a browser cookie” option, you can specify the URL parameters that trigger a cookie write. If any of these parameters are present in the page URL when the tag is activated, the page URL is recorded in the browser cookie. In scenarios where the page referrer hostname does not match the current page hostname (indicating the user’s arrival from another domain), the referrer is also stored in a cookie. Opting for the “Push original location in dataLayer” feature results in the tag pushing the current URL into the dataLayer. This can be leveraged to address the rogue referral problem effectively. Persist Campaign Data For single-page sites or apps, which typically involve content loading without refreshing the page, there is a specific challenge in Google Analytics tracking when configured through Google Tag Manager. The issue arises because, with every hit using a unique tracker object, the Document Location field is updated, causing problems in attributing sessions correctly. To resolve this, the tag template offers a comprehensive solution, ensuring proper session attribution even on single-page sites. Explore the Google Tag Manager Template Gallery at https://tagmanager.google.com/gallery/ for easy access to this template and others. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce Trailheads

Salesforce Trailheads

Salesforce (or “sforce”) is open to all, whether you’re an admin, user, or developer, with dedicated learning paths available for each role. Salesforce Trailheads Trails are curated learning journeys consisting of modules and projects, designed to guide users through various topics, develop relevant skills, and gain hands-on experience with Salesforce products. Modules break down complex subjects into manageable units, offering insights into features, their functionalities, and step-by-step instructions. Interactive challenges provide opportunities to test your comprehension. Salesforce Trailheads are an integral part of the company’s free online learning platform. This resource assists developers in transitioning from Salesforce Classic to Salesforce Lightning Experience, a modern development platform that utilizes declarative code, making it accessible to individuals with limited coding knowledge. Trailhead’s guided learning paths are freely available, aligning with Salesforce’s commitment to democratize industry knowledge. While some specialized courses are offered through Trailhead Academy for a fee, the majority of content is accessible at no cost. Salesforce’s official learning platform, Trailhead, offers comprehensive interactive learning paths called “trails.” Covering basic to advanced topics, these trails are free and often include hands-on practice through projects and challenges. The time required to learn Salesforce varies based on the area of focus. For Admin skills, it may take three to four months, while Salesforce Developer and Consultant skills may require five-plus months and six or more months, respectively. Trailhead, utilized by over 3 million individuals, is a recommended platform to embark on this learning journey. Trailhead is accessible to anyone with an internet connection, regardless of background, age, gender, or beliefs. Creating a free Trailhead account (no Salesforce CRM account required) is quick and easy at Trailhead.com. Operating on a gamification model, Trailhead awards badges and points to users as they progress through ranks. Achieving the highest rank, ‘Ranger,’ requires earning 100 badges and accumulating 50,000 points, signifying a significant accomplishment for Trailblazers. Trailhead empowers individuals to become Trailblazers by providing in-demand skills for career transformation, globally recognized credentials, and opportunities for connection within the vibrant Trailblazer Community. Learning is made flexible with the Trailhead mobile app, enabling users to upskill anytime and connect from anywhere. Content updated November 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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Sales Cloud Einstein Forecasting

Sales Cloud Einstein Forecasting

Salesforce, the global leader in CRM, recently unveiled the next generation of Sales Cloud Einstein, Sales Cloud Einstein Forecasting, incorporating AI into every phase of the sales cycle, from pipeline building and deal closing to business growth. The new Einstein Forecasting tool enhances visibility and intelligence, enabling sales leaders to more accurately predict sales revenue at each stage. Additionally, Einstein Opportunity Scoring prioritizes high-value opportunities, and Einstein Email Insights identifies critical emails, allowing sales reps to sell faster and smarter. Introducing Einstein Forecasting Einstein Forecasting revolutionizes business predictability, benefiting everyone from the head of sales to the CFO. Traditional forecasting methods, often reliant on incomplete spreadsheets and outdated systems, result in inaccurate projections, underperformance, and business disconnection. In fact, less than half of deals close as forecasted, leading to missed quotas and revenue shortfalls. Sales Cloud Einstein Forecasting Einstein Forecasting is a fully automated, out-of-the-box solution utilizing a company’s historical CRM data to eliminate guesswork. By combining data mining and machine learning, it analyzes factors like seasonality and historical performance to deliver highly accurate, individualized sales forecasts. Its self-learning algorithms assess individual and team forecasting behaviors, adjusting for optimism or pessimism to provide unbiased analysis. Moreover, Einstein translates forecast data into human language, helping sales leaders understand pipeline expectations and reasons. For example, a regional manager for a trucking company can use a dashboard to see if the team is on track or if any deals are in jeopardy of not closing or being lost. This foresight allows for timely intervention. Similarly, a CFO considering expansion can use Einstein Forecasting to predict funding availability for new regions. Enhancing Sales Reps’ Efficiency with AI In addition to Einstein Forecasting, Salesforce introduced Einstein Opportunity Scoring and Einstein Email Insights to keep sales reps focused on vital deals. Einstein Opportunity Scoring Einstein Opportunity Scoring identifies, surfaces, and prioritizes the most valuable deals within Sales Cloud, such as those with large deal sizes and significant executive engagement. It monitors deals in progress, flagging high-value deals at risk, allowing reps to concentrate on building the pipeline and closing deals efficiently. For instance, sales reps can focus on the most promising deals instead of spending hours sifting through opportunities. Einstein Email Insights Einstein Email Insights acts as a personal email assistant for sales reps, powered by natural language processing (NLP). It identifies crucial emails and recommends actions or responses, helping reps prioritize their inbox and quickly address customer needs. This proactive approach ensures that deals continue moving forward, from scheduling meetings to sending quotes. For example, a sales rep returning from a day of meetings can quickly find and address important emails without sifting through their inbox. Benefits of Einstein Forecasting Einstein Forecasting leverages AI technology to bring certainty and visibility to forecasts, enhancing accuracy, predicting outcomes, and tracking team performance. Salesforce Einstein Celebrates One Year of Innovation Since its launch in September 2016, Salesforce Einstein has brought AI capabilities to every business user, transforming customer experiences across the Customer Success Platform. Today, Einstein delivers over 475 million daily predictions, enabling companies like U.S. Bank, Room&Board, FareCompare, Silverline, and Black Diamond to operate smarter and more productively. Additionally, Einstein Platform Services empower developers to build AI-powered CRM apps using computer vision and NLP, with over 7,000 developers already creating Einstein-powered apps. Under Chief Scientist Dr. Richard Socher, Salesforce Research has published 10 academic papers, advancing deep learning technology for Salesforce customers. Einstein Predictions Enabling Einstein Forecasting displays the Einstein prediction column on the forecasts page, showing median predicted amounts for each manager’s team based on opportunities within the Best Case and Commit forecast categories. Predictions may not appear if there is insufficient historical data or a large prediction range. Predictions are typically in US dollars unless multiple currencies are used, in which case amounts are converted based on the static conversion rate set by the Salesforce admin. Selecting a prediction value reveals detailed information in the side panel, including the prediction range, a breakdown of wins from existing and new deals, and top factors contributing to the prediction. The Forecast Changes Chart offers a visualization of predicted closings within a forecast period, highlighting key performance indicators. New Salesforce AI Innovation Fund To foster next-generation AI solutions, Salesforce Ventures announced a $50 million Salesforce AI Innovation Fund. Fast-growing AI startups Highspot, Squirro, and TalkIQ are the first recipients, accelerating their development of transformative AI solutions on Salesforce. Additionally, Salesforce Ventures has invested in All Turtles, an AI startup studio partnering with founding teams to create AI-centric products. Salesforce will collaborate with All Turtles to co-create advanced AI solutions on the Salesforce platform. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce Success Story

Case Study: Health Payer/Provider Onboarding/Network Growth

After doing their initial Sales Cloud implementation and SAP integration over 12 years ago, this company was only leveraging Salesforce in a basic capacity, being a predominantly SAP and Microsoft shop. Fast forward to about a year ago, with a change in leadership, Salesforce became the desired platform to build and expand on. With the need to support multiple lines of business, provide more accurate forecasting and quoting and close the gap between sales and supply chain there was a lot to tackle both immediately and long term.

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Salesforce CRM for AI driven transformation

Salesforce Artificial Intelligence

Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust AI technologies directly into users’ workspaces. The Einstein Platform offers administrators and developers a comprehensive suite of platform services, empowering them to create smarter applications and tailor AI solutions for their enterprises. What is the designated name for Salesforce’s AI? Salesforce Einstein represents an integrated array of CRM AI technologies designed to facilitate personalized and predictive experiences, enhancing the professionalism and attractiveness of businesses. Since its introduction in 2016, it has consistently been a leading force in AI technology within the CRM realm. Is Salesforce Einstein a current feature? “Einstein is now every customer’s data scientist, simplifying the utilization of best-in-class AI capabilities within the context of their business.” Is Salesforce Einstein genuinely AI? Salesforce Einstein for Service functions as a generative AI tool, contributing to the enhancement of customer service and field service operations. Its capabilities extend to improving customer satisfaction, cost reduction, increased productivity, and informed decision-making. Salesforce Artificial Intelligence AI is just the starting point; real-time access to customer data, robust analytics, and business-wide automation are essential for AI effectiveness. Einstein serves as a comprehensive solution for businesses to initiate AI implementation with a trusted architecture that prioritizes data security. Einstein is constructed on an open platform, allowing the safe utilization of any large language model (LLM), whether developed by Salesforce Research or external sources. It offers flexibility in working with various models within a leading ecosystem of LLM platforms. Salesforce’s commitment to AI is evident through substantial investments in researching diverse AI areas, including Conversational AI, Natural Language Processing (NLP), Multimodal Data Intelligence and Generation, Time Series Intelligence, Software Intelligence, Fundamentals of Machine Learning, Science, Economics, and Environment. These endeavors aim to advance technology, improve productivity, and contribute to fields such as science, economics, and environmental sustainability. Content updated April 2023. 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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