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SaaS Data Protection from Own

Reporting With Own

In any Salesforce organization, vast amounts of data are generated constantly from sales activities, customer interactions, marketing campaigns, and more. Summarizing and digesting this information quickly is crucial, especially when presenting the big picture to leadership. This is where Salesforce reports come into play. The Salesforce Reports feature enables organizations to analyze, visualize, and summarize data in real time. By pulling data from across your Salesforce environment, reports help consolidate information into easily digestible formats, such as charts, tables, and graphs. Salesforce reports are essential for: How Historical Data Can Improve Reporting in Salesforce While real-time reports are valuable, incorporating historical data can significantly enhance reporting by offering deeper insights into your organization’s long-term performance. Here’s how: Challenges of Reporting with Historical Data in Salesforce While incorporating historical data is smart, Salesforce’s native reporting capabilities impose certain limitations: Don’t Let Salesforce Reporting Limitations Hold You Back With Own Discover, customers can effortlessly generate time-series datasets from any objects and fields over any time period in just a few clicks. These datasets can be accessed using standard query and reporting tools without requiring a data warehouse or the need to enrich existing data warehouses, overcoming Salesforce’s native limitations. 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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Einstein in Salesforce

Einstein in Salesforce

Salesforce AI and CRM Evolution Salesforce has long been a leader in customer relationship management (CRM) by pioneering cloud technologies. Recently, the platform has significantly advanced with the integration of generative artificial intelligence (AI) and AI-powered features, thanks to its Einstein technology. Einstein in Salesforce is like a super smart computer overseeing and analyzing the data in your CRM. This guide explores Salesforce’s AI strategy, exploring its specific products and features to help business teams understand and benefit from this technology. Exploring Salesforce’s Advanced AI Features Einstein, Salesforce’s AI technology, powers various advanced features within the platform. This guide will cover these capabilities, provide real-life adoption examples, and discuss their benefits. Additionally, it offers best practices, solutions, and services to facilitate your Einstein implementation. Salesforce’s Comprehensive CRM Solution Salesforce remains a number one in the CRM software world, offering robust solutions for managing relationships across various departments. Specific clouds within Salesforce enable teams to handle marketing, sales, customer service, e-commerce, and more. The platform focuses on customer experience and provides robust data analytics to support decision-making. Enhancements Through Generative AI Salesforce’s generative AI has rapidly enhanced the platform’s automation, workflow management, data analytics, and assistive capabilities for customer management. A prime example is Salesforce Copilot, which aids internal users with outreach and analysis tasks while improving the external user experience. What is Salesforce Einstein? Salesforce Einstein is the first comprehensive AI for CRM, integrating AI technologies to enhance the Customer Success Platform and bring AI to users everywhere. It is seamlessly integrated into many Salesforce products, offering generative AI built specifically for CRM. Key Features of Salesforce Einstein Comprehensive AI Capabilities of Salesforce Einstein Einstein extends its capabilities across the Salesforce CRM platform under the Customer 360 umbrella, enhancing intelligence and providing personalized customer experiences. Key Benefits of Salesforce Einstein Salesforce Einstein helps close deals faster, personalize customer service, understand customer behaviors, target audience segments better, and create personalized shopping experiences. It ensures data protection and privacy through the Einstein Trust Layer, maintaining strong data governance controls. Responsible AI Principles Salesforce is committed to responsible AI principles, ensuring Einstein is trustworthy and safe for every organization. Organizations can select from various principles to ensure ethical AI use in their operations. Implementation of Salesforce Einstein Salesforce Einstein is a powerful AI solution transforming how businesses interact with customers. By leveraging machine learning and data analysis, it personalizes experiences, predicts customer behavior, and automates tasks, boosting sales, enhancing service, and driving growth. As AI evolves, its impact on CRM will continue to grow, making it an indispensable tool for businesses aiming to stay competitive in today’s data-driven landscape. Top 4 Benefits of Salesforce Einstein in an Organization Einstein Essentials Salesforce Einstein and GPT (Generative Pretrained Transformer) technologies represent significant advancements in AI, particularly in CRM and natural language processing. Here’s a brief overview of their relevance and potential intersection: Data Handling and Ethics in Salesforce Salesforce manages a vast amount of customer data, and the ethical handling of this data is crucial. Key considerations include data privacy, secure storage, access controls, compliance with regulations like GDPR and CCPA, and the ethical use of AI and machine learning. It’s important to maintain transparency, avoid biases, and ensure AI models are making ethical decisions. Newest Einstein Features for 2024 In the rapidly evolving ecosystem of Salesforce, AI offers a suite of tools to spark innovation, streamline operations, and provide richer business insights. Explore these potentials and let Einstein AI reshape your work in 2024. Content updated June 2024. 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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Big Data and Data Visualization

Big Data and Data Visualization Explained

Data Visualization: Turning Complex Data into Clear Insights Data visualization is the practice of converting information into visual formats, such as maps or graphs, to make data more accessible and understandable. The primary purpose of data visualization is to highlight patterns, trends, and outliers within large data sets, allowing users to quickly glean insights. The term is often used interchangeably with information graphics, information visualization, and statistical graphics. The Role of Data Visualization in Data Science Data visualization is a crucial step in the data science process. After data is collected, processed, and modeled, it must be visualized to draw meaningful conclusions. It’s also a key component of data presentation architecture, a discipline focused on efficiently identifying, manipulating, formatting, and delivering data. Importance Across Professions Data visualization is essential across various fields. Teachers use it to display student performance, computer scientists to explore AI advancements, and executives to communicate information to stakeholders. In big data projects, visualization tools are vital for quickly summarizing large datasets, helping businesses make informed decisions. In advanced analytics, visualization is equally important. Data scientists use it to monitor and ensure the accuracy of predictive models and machine learning algorithms. Visual representations of complex algorithms are often easier to interpret than numerical outputs. Historical Context of Data Visualization Data visualization has evolved significantly over the centuries, long before the advent of modern technology. Today, its importance is more pronounced, as it enables quick and effective communication of information in a universally understandable manner. Why Data Visualization Matters Data visualization provides a straightforward way to communicate information, regardless of the viewer’s expertise. This universality makes it easier for employees to make decisions based on visual insights. Visualization offers numerous benefits for businesses, including: Advantages of Data Visualization Key benefits include: Challenges and Disadvantages Despite its advantages, data visualization has some challenges: Data Visualization in the Era of Big Data With the rise of big data, visualization has become more critical. Companies leverage machine learning to analyze vast amounts of data, and visualization tools help present this data in a comprehensible way. Big data visualization often employs advanced techniques, such as heat maps and fever charts, beyond the standard pie charts and graphs. However, challenges remain, including: Examples of Data Visualization Techniques Early computer-based data visualizations often relied on Microsoft Excel to create tables, bar charts, or pie charts. Today, more advanced techniques include: Common Use Cases for Data Visualization Data visualization is widely used across various industries, including: The Science Behind Data Visualization The effectiveness of data visualization is rooted in how humans process information. Daniel Kahneman and Amos Tversky’s research identified two methods of information processing: Visualization Tools and Vendors Data visualization tools are widely used for business intelligence reporting. These tools generate interactive dashboards that track performance across key metrics. Users can manipulate these visualizations to explore data in greater depth, and indicators alert them to data updates or important events. Businesses might use visualization of data software to monitor marketing campaigns or track KPIs. As tools evolve, they increasingly serve as front ends for sophisticated big data environments, assisting data engineers and scientists in exploratory analysis. Popular data visualization tools include Domo, Klipfolio, Looker, Microsoft Power BI, Qlik Sense, Tableau, and Zoho Analytics. While Microsoft Excel remains widely used, newer tools offer more advanced capabilities. Data visualization is a vital subset of the broader field of data analytics, offering powerful tools for understanding and leveraging business data across all sectors. 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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Google Search Goes AI

Google Search Secrets

Google is a veritable plethora of information. It likely doubles weekly. But getting the best search results occasionally requires knowing some Google search secrets. There are times when a story needs to be prefaced by a story. This is one of those times. I’m old. I’m so old that I remember card catalogs and going to a physical library to do research. I also remember phones hardwired to walls and a quarter being sufficient to call someone who cares. But I digress. I began using the internet as a research tool in 1992. Let me tell you, folks, in 1992 you didn’t “tell” a search engine what you were looking for an it auto-completed your query and found you results. Very often you did your searching using Boolean search. Boolean search is a structured search process that uses words and symbols to limit, broaden, or define search results. These words and symbols are called Boolean operators, and the most common ones are AND, OR, and NOT. Boolean search can be used in search engines and databases to produce more relevant and accurate results. Sounds pretty simple, right? But if I’m looking for resumes of Oracle DBAs who don’t work at Oracle, never worked at IBM, either graduated from Yale or Dartmouth, and are currently in the job market I’m writing one heck of a Boolean search string. I won’t bore you with what that looks like, my point is just that search and search engines have come a long way. Without further ado, here are some of my favorite Google search secrets. You can narrow your search by file type. If you only want to see spreadsheets or pdfs, you can add filetype:excel or filetype:pdf to your query. Then your search results only include the desired file type. What if you only want to cite resources from before a certain date? Use ‘before” to find results before a certain date. You can do this in a year-month-day or year only format. Add before:2024 to your search string. Likewise if you only want to see results after a specific date you can use the same logic with after:2024 in your search string. You might even use both if you were layering your resources by time period such as year or decade. Or you can actually search by date range. Use ‘..’. Oracle DBA 2019..2024. You can ask Google to provide results only from one specific website. If you don’t want to see everything everyone wrote about Salesforce, and only want to see a Tectonic resource add site:gettectonic.com to your search query. More and more Google is using some fuzzy logic. Essentially this means it is infering what it thinks you want to know. Just like the auto-complete feature when you begin typing in a query, that fuzzy logic will question your selection if there is a typing error or misspelling, or even if Google just thinks it is smarter than you. You can create your own variation of fuzzy logic with the OR operator. In the example above of our DBA resume we would type Yale OR Dartmouth. You can also use a wild card in your search. If you aren’t sure about a word that might be in your search phrase, you can replace ith with ‘*’. Maybe I’m looking for who makes 5G phones. I might search for 5G cell phone by *. When you want results meeting an exact search term, add quotation marks. Such as “Tectonic Solution Architects” to only see solution architects at Tectonic. Good old AND from the Boolean days still is around. If you want to see results that combine two search topics use AND in your search. Such as Solution Architect AND Tectonic AND Salesforce. What if after you run your Google search you find a lot of information you weren’t looking for? You can use ‘-‘ to signify a negative word you don’t want to see in the results. Going back to our resume example, you can use the negative operator to deal with not currently working at Oracle and never having worked at IBM. If you’ve ever read or written an IT resume you recognize that Oracle and/or IBM may very well exist other than as employment. What are your favorite Google search secrets? Comment below. Written by Tectonic Salesforce Architect, Shannan Hearne. 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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multi-channel campaigns

Multi-Channel Campaigns

Leveraging Salesforce for Multi-Channel Campaign Management with Tectonic In today’s dynamic marketing landscape, businesses need to connect with their audience across multiple channels—email, social media, web, and beyond. Managing these campaigns effectively can feel like juggling too many balls at once, especially when aiming to maintain consistent messaging, track performance, and maximize ROI. That’s where Salesforce, paired with expertise from Tectonic, makes all the difference. Salesforce simplifies multi-channel campaign management, helping businesses stay organized, boost engagement, and achieve measurable results. Let’s dive into how this powerful platform, supported by Tectonic’s expertise, takes campaign management to the next level. The Challenge Marketing teams often face obstacles like: The Solution: Streamlined Multi-Channel Campaign Management Salesforce, with Tectonic as your trusted partner, transforms the complexity of multi-channel campaigns into a streamlined and effective process. By integrating channels, automating workflows, and delivering real-time insights, businesses can engage their audience and achieve exceptional results. 1. Centralized Campaign Planning Salesforce Marketing Cloud provides a centralized platform for planning and managing campaigns across channels—email, SMS, social media, and paid ads—all from one dashboard. This unified view ensures messaging and branding stay consistent while fostering seamless collaboration across teams. Tectonic enhances this process by ensuring your Salesforce environment is optimized for your specific needs. 2. Personalized Messaging at Scale Salesforce’s AI-powered tools, such as Einstein AI, analyze customer data to craft personalized content for every audience segment. These tools allow businesses to create tailored emails, ads, and social media posts that resonate with specific groups. With Tectonic’s guidance, you can implement personalization strategies that drive engagement and conversions to new heights. 3. Real-Time Performance Tracking Salesforce consolidates campaign performance data into a single platform, providing real-time metrics like open rates, click-through rates, social engagement, and conversions. Customizable dashboards allow your team to monitor results at a glance, enabling quick adjustments for maximum impact. Tectonic can help design these dashboards for clarity and actionable insights. 4. Automation for Efficiency Managing multi-channel campaigns involves countless tasks, but Salesforce automates processes such as scheduling, triggering emails, and personalizing messaging based on user behavior. By streamlining these repetitive tasks, your team can focus on creativity and strategy. Tectonic’s expertise ensures these automations are tailored to fit your business workflows perfectly. 5. Seamless Integration Across Channels Salesforce integrates with platforms like Google Ads, Facebook, LinkedIn, and Instagram, consolidating data into one ecosystem. This eliminates the need for manual data collection, saving time and improving accuracy. Tectonic ensures these integrations are set up seamlessly, so you can focus on running impactful campaigns. Strategies for Success with Salesforce Why Tectonic + Salesforce? Tectonic combines deep Salesforce expertise with a keen understanding of marketing challenges to help you fully unlock the platform’s potential. Together, Salesforce and Tectonic empower businesses to achieve more efficient, impactful, and ROI-driven campaigns. Ready to revolutionize your multi-channel marketing strategy? Let Tectonic guide you to Salesforce success. Content updated December 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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Contact Builder is responsible for aggregating customer data from multiple source into a single customer view, known as the contact model in marketing cloud. For more information refer to the official documentation. Audience Builder is a segmentation tool, that abstracts the traditional SQL process for building segments and allows marketers to build segments by dragging and dropping them. For more information, please refer to the the documentation. Contact Builder has been moved to the Audience Builder tab

Audience Builder Contact Builder

Contact Builder, formerly known as Audience Builder, is a robust tool within Marketing Cloud designed to manage data associated with contacts, referred to as ‘people’ records. This platform provides access to both demographic and behavioral information, which is organized into ‘attribute groups’ (such as abandoned carts), ‘events,’ and ‘populations,’ allowing for efficient segmentation of data. The primary distinction between Audience Builder and Contact Builder lies in their functionalities within Marketing Cloud. While Audience Builder focuses on segmenting data, Contact Builder serves as the tool for defining the data model within the Marketing Cloud ecosystem. Contact Builder is integral to data management within Marketing Cloud and will continue to play a central role in the platform’s operations. Marketing Cloud Audience Builder has empowered marketers to create finely segmented audiences based on behavioral and demographic data. With its retirement, the question arises: “What comes next?” To address this, Marketing Cloud offers engagement marketing tools powered by AI, enabling marketers to activate their data and deliver personalized campaigns at scale to enhance customer lifetime value. These tools include: Email Marketing: Cross-Channel Analytics: “After adopting Salesforce Marketing Cloud and using it to hyper-target our audience, we are able to reduce the waste of our current marketing budget and become more efficient with spending on initiatives that deliver better results“ Kyall MaiSVP & Chief Innovation Officer, Esquire Contact Builder vs. Audience Builder Contact Builder serves as the central hub for managing attribute values associated with each contact within Marketing Cloud. It maintains a comprehensive database of contact information and facilitates the organization and linkage of data from various sources, including ERP systems, CRM systems, and POS systems. This tool offers a unified view of customer interactions with the brand, enabling personalized communication across channels such as email, SMS, and push notifications. Audience Builder, now known as Contact Builder, dynamically creates targeted audiences based on stored attribute and behavioral values of contacts. These audiences are generated according to specific rules and criteria defined by the user. Audience Builder helps marketers segment contacts effectively, allowing for precise targeting or exclusion from marketing activities within Marketing Cloud Engagement. Key Features and Functions: Contact Builder: Audience Builder: While both Contact Builder and Audience Builder are essential components of Marketing Cloud, Contact Builder takes precedence as the primary tool for managing contact data and enabling personalized customer interactions. Audience Builder, now integrated into Contact Builder, continues to play a vital role in audience segmentation and targeting within Marketing Cloud Engagement. Contact Builder is responsible for aggregating customer data from multiple source into a single customer view, known as the contact model in marketing cloud. For more information refer to the official documentation. Audience Builder is a segmentation tool, that abstracts the traditional SQL process for building segments and allows marketers to build segments by dragging and dropping them. For more information, please refer to the the documentation. Contact Builder has been moved to the Audience Builder tab. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce AI

Salesforce Einstein and Social Studio

The digital era (sometimes considered the third industrial revolution) has transformed the dynamics of customer-business interactions, demanding a proactive approach to customer engagement across diverse channels. Navigating this ever-evolving world is essential for business success, and Social Studio is a valuable asset in this endeavor. Social Studio, in conjunction with Einstein AI, plays a pivotal role in achieving social media success. Recognizing the significance of social media in shaping brand identity and fostering customer relationships, marketers are tasked with maintaining an active and responsive presence across various social media platforms. This challenge is met by Social Studio, offering a centralized hub for comprehensive social media management. This platform facilitates content planning and publication, team collaboration, content approval, audience engagement, and performance analysis. Equipped with advanced scheduling tools, user-friendly content creation features, and customizable approval rules, Social Studio ensures the safeguarding of your brand’s integrity across multiple platforms and messaging. Notably, Social Studio seamlessly integrates with Salesforce Marketing Cloud, providing an all-encompassing solution for efficient social media management. Its capabilities extend to user role management, image classification through Einstein Vision, and process automation using macros. With Social Studio, users gain access to a unified platform for content creation, scheduling, and monitoring, audience interaction, and performance analysis. Whether collaborating within a team or managing multiple accounts, Social Studio streamlines social media efforts, empowering users to achieve their goals. Embrace the advantages of this robust tool for an enhanced social media experience! Social Studio is a one-stop solution to manage, schedule, create, and monitor posts. You can organize posts by brand, region, or multiple teams and individuals in a unified interface. Social Studio offers powerful real-time publishing and engagement. Social Studio offers powerful real-time publishing and engagement platform for content marketers, plus the comprehensive content performance by social network and time frame. A single interface offers a fully customizable team-based collaboration platform that analyzes channel and content performance. Analyze current trends and recommend new content ideas. With Social Studio you can: Social Studio Components Social Studio is made up of these components: Note: Salesforce will sundown Social Studio on November 18, 2024, but some users will lose access before then if their contract expires sooner.  Salesforce recommends retrieving your Social Studio data at least 90 days before the Order End Date of your Marketing Cloud Social Studio Product(s) or November 18, 2024, whichever is sooner.  The digital, or third industrial revolution is the shift from mechanical and analogue electronic technologies from the Industrial Revolution towards digital electronics which began in the latter half of the 20th century.  This was prompted with the adoption and evolution of digital computers. (source) 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 Marketing Cloud Journey Builder

Journey Builder Explained

In B2C marketing, the focus on Journey Builder within the Marketing Cloud framework is essential to take customers on journeys with personalized interactions depending on where they are at in the buying cycle. This tool empowers marketers to craft intricate marketing journeys that deliver personalized experiences to customers. Operating within Marketing Cloud, the journey tool orchestrates comprehensive customer journeys, facilitating interactions across multiple platforms such as email, mobile, advertising, and websites. It stands as a foundational element of Marketing Cloud, primarily tailored for B2C initiatives. Salesforce Journey Builder facilitates a deeper understanding of customers by triggering actions based on their unique behaviors and ensuring consistent messaging across channels. As consumers navigate seamlessly between platforms and devices, brands must offer personalized and seamless journeys to maximize customer lifetime value. To achieve this, marketers must address key questions: Answering these questions requires a comprehensive view of the customer journey, with actions aligned to evolving customer expectations. With Salesforce Marketing Cloud Journey Builder, marketers can attain a unified view of all customer interactions, optimizing end-to-end journeys. Journey Builder provides visibility into consumer interactions across marketing channels, including email, mobile, social ads, and more. By connecting these interactions, marketers gain insights for improved message crafting, campaign design, and automation, fostering seamless customer experiences and fostering loyalty. Interactions a customer may have with the brand throughout their journey include clicking on an ad, opening an email, making a purchase, conversing with customer support, and more. Journey Builder, as an event-driven tool, initiates conversations based on customer history, preferences, and real-time behavior, supporting visual mapping of simple or complex journeys. However, Journey Builder operates within Marketing Cloud and utilizes content and audiences from Email Studio, Mobile Studio, Advertising Studio, Content Builder, and Audience Builder. It leverages event-driven triggers to react to customer actions, such as downloading an app or leaving a shopping cart abandoned, thus enabling timely and relevant responses. Key features of Journey Builder include a user-friendly drag-and-drop interface, entry and filter criteria for swift actions, and powerful add-ons for enhanced functionality. Ultimately, Salesforce Journey Builder facilitates a seamless customer experience by guiding journeys, ensuring consistent messaging, adapting to evolving needs, and maintaining brand consistency across channels. 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: Google Cloud and Tableau Ecommerce Success

An industry leader in lifesciences research and ecommerce, is tasked with integrating recent acquisitions, standardizing processes, and improving marketing return-on-investment. Ecommerce company moves to the cloud and adopts Google Cloud and Tableau to improve sales and operational efficiency. Google Cloud and Tableau Ecommerce Success to the rescue. Industry: Lifesciences and Biotechnology Research Problem: Leadership requested help driving an improved culture of proactive decision-making, rather than reactive. Implemented : Our solution? Results: Salesforce offers customized solutions for the ecommerce industry, assisting companies in this field to provide outstanding customer experiences, optimize workflows, and spur growth and brand loyalty. Salesforce offers digital transformation technology for life sciences, ecommerce, and biotechnology research industries. If you are considering a Salesforce health and life sciences implementation, contact Tectonic today. 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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Race to AI for CX

AI emerges as a transformative force revolutionizing the customer experience (CX) landscape in the dynamic world of global e-commerce. Its ability to handle extensive data and facilitate large-scale automation empowers brands to offer tailored and seamless CX journeys, fostering customer loyalty and satisfaction. The great race to AI for CX is upon us. In the era of rapid technological advancements, organizations worldwide are in a race to integrate AI-driven capabilities across their operations. The widespread adoption of AI is fueled by its recognition not just as a technological advancement but as a strategic imperative. Businesses invest in AI to enhance operational productivity, reduce costs, elevate customer experiences, and maintain competitiveness. AI’s impact on customer experience extends to substantial improvements in Customer Relationship Management (CRM) systems. Automation of tasks like data entry, lead scoring, and follow-up reminders, coupled with intelligent insights such as predicting high-converting leads, empowers sales teams to optimize their efforts. Considering the pivotal role customers play for every business, CRM has become a launchpad for AI-led transformations throughout enterprises. Businesses swiftly integrate AI-powered experiences into sales, marketing, service, and e-commerce use cases. However, for AI investments to meet expectations, they must be built on robust data practices and trust. Data readiness, reflecting an organization’s preparedness to access and use quality data across its business, is crucial for successful AI outcomes. Ensuring trust in AI, free from data-security concerns or incorrect outcomes, is equally essential. Many companies, lacking mature data practices for advanced AI capabilities like generative AI (genAI), express significant trust concerns; nevertheless, the imperative to progress prompts continued AI investments. The deployment of AI-powered chatbots enables customer service teams to deliver convenient, 24/7 support. These chatbots, exemplified by Zendesk bots, operate round the clock, offering real-time assistance even when support agents are offline. Generative AI-powered conversational bots enhance customer self-service, reduce resolution times, and improve satisfaction by maintaining case-specific tonality and context in real time. Personalized marketing, beyond being a trend, has become a cornerstone strategy for businesses aiming to establish profound connections with their audiences. Crafting messages that resonate personally not only captures attention but also cultivates conversations and fosters lasting brand loyalty. In a digital age where user experience can make or break a brand, strategic partnerships become crucial. The race to AI for CX is on and you can’t afford to be left behind. Enhancing digital user experiences often requires collaboration with specialized partners. Regpack, a versatile payment and registration solution, exemplifies this approach by collaborating with Webeo, specialists in B2B website personalization. This partnership resulted in a 565% increase in site conversion, a 302% rise in average time spent on the site, and a significant 30% drop in bounce rates. Webeo’s personalization software enabled Regpack to identify and adapt to the diverse needs of its clientele through advanced behavioral personalization techniques. Race to AI for CX AI’s impact on marketing extends beyond being an add-on tool, serving as a fundamental game-changer for crafting bespoke customer experiences. AI seamlessly bridges the digital and physical realms, particularly in ecommerce and retail sectors, dynamically adapting products and content based on consumer behavior. AI-driven technologies interpret vast data points, allowing brands to offer hyper-personalized interactions. Real-time data analysis and pattern recognition capabilities make AI a powerful tool for creating engaging and emotionally resonant personalized experiences. In essence, AI architects a new era in marketing, where experiences are not merely personalized but dynamically respond to evolving consumer desires and expectations. Leveraging AI, brands can create narratives that consumers feel intrinsically part of, fostering profound connections. For instance, Calian IT & Cyber Solutions employs personalized marketing tactics to understand and address the unique challenges and needs of each business they serve, fostering strong, long-term relationships with clients. The key takeaway for marketers is clear – the era of generic messaging is fading. A more nuanced, data-driven, and empathetic approach is emerging. Brands that embrace this shift, continuously innovate, and create experiences that customers feel a part of will thrive. As technology advances and consumer expectations evolve, mastering the art of personalization becomes crucial to redefine the marketing landscape. Key Strategies for Exceptional Customer Experience with AI: AI and Customer Experience (CX): AI impacts the entire customer journey, from predictive and prescriptive analytics to sentiment analysis, journey mapping assistance, orchestration, dynamic pricing, virtual try-ons, and augmented reality, providing an interactive and engaging shopping experience. AI and Employee Experience (EX): Efficiencies introduced by AI in employee tasks directly benefit customers. When repetitive tasks are automated, employees gain time for critical and value-added tasks, leading to increased productivity, reduced workload, fewer errors, and improved job satisfaction. Delivering Exceptional Customer Experience with AI: As customer expectations evolve, AI offers a scalable approach for brands to exceed expectations, resulting in memorable customer experiences shaped by clear communication, seamless journeys, and engaging personalized interactions. The transformative potential of AI for CX success is evident in its ability to reshape the marketing landscape. 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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Google Analytics 4 UTM Codes

Google Analytics 4 UTM Codes

How to Generate UTM Codes Generating Google Analytics 4 UTM Codes can be done in several ways. A common method is using Google’s Campaign URL Builder, where you enter your original URL and add the desired UTM parameters. Alternatively, tools like Measureschool’s UTM Tool in Google Sheets or other free online tools can also be used to create UTM codes. Viewing UTM Data in Google Analytics 4 In Google Analytics 4 (GA4), UTM data is found in the standard Acquisition reports. Specifically, you can view this data in the Acquisition Overview, User Acquisition: First User Default Channel Grouping, and Traffic Acquisition reports. Additionally, the Explore section in GA4 allows for the creation of custom reports using UTM data. Best Practices for UTM Tagging When using UTM tags, consider the following best practices: Google Analytics 4 UTM Codes allows you to better track your customer journeys and measure ROI on your advertising and search engine optimization efforts. 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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Create a Salesforce Approval Process

Create a Salesforce Approval Process

Streamlining Your Salesforce Approval Process: Top Options Create a Salesforce Approval Process – an essential for tasks such as: This insight explores the top methods for implementing a Salesforce approval process in your organization. Option 1: Manually Send Opportunities Over Email or Slack The classic approach is manually sending approval requests via email or Slack, starting with a simple “Hey, can you approve this?” message. This method can be effective if the volume of requests is low. Pros: Cons: Many businesses using this method eventually seek more efficient systems to avoid cluttered inboxes and disorganized processes. Option 2: Use a Google Sheet Another option is to manage the approval process through a Google Sheet. Sales reps and managers add new deal information to the sheet, which acts as a central repository for tracking approval statuses without email chains. Pros: Cons: The manual nature of this method often leads to abandonment, as it can slow down the sales workflow and burden reps with administrative tasks. Option 3: Salesforce Approvals Salesforce offers native approval functions, allowing users to create approval processes involving various stakeholders. Approvals can be managed via email or directly within Salesforce. Pros: Cons: While Salesforce Approvals improve upon manual methods, they still have limitations in notifying stakeholders and tracking responses efficiently. Option 4: Use Rattle Rattle is an automation tool that integrates Salesforce with Slack to streamline the approval process. Custom Slack alerts trigger when deal information in Salesforce changes, notifying sales managers of approval needs. Pros: Cons: Rattle offers a blend of accountability and speed, enabling sales reps to focus on clients while managers receive timely approval notifications and can make decisions quickly. Choosing the Best Option Now that we’ve reviewed several methods for implementing a Salesforce approval process, it’s time to determine the best fit for your organization. Consider the following steps: By selecting a dynamic approval process tailored to your needs, you’ll free up your sales team to focus on bringing in and closing more deals, enhancing overall productivity and efficiency. 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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