November, 2022 - gettectonic.com
Salesforce Marketing Cloud Advertising Studio
30Nov

How to Connect Pardot and Ad Studio in Salesforce

How to Establish Connectivity Between Pardot and Ad Studio-Connect Pardot and Ad Studio in Salesforce Requirements Connecting Pardot and Ad Studio involves tasks across Salesforce, Pardot, and Marketing Cloud. Unfortunately, it’s not a straightforward ‘plug and play’ solution and may necessitate a Salesforce Partner like Tectonic, especially for those less advanced in the platform. If you choose to proceed independently, ensure you meet the following requirements: If any of these requirements are not met, collaboration with other Salesforce admins and Pardot/Marketing Cloud users may be necessary to complete the following tasks. It is advisable to follow the tasks in order, as those within Salesforce and Pardot must be done before finalizing the setup in Marketing Cloud. Salesforce Tasks Pardot Tasks Decide how Pardot prospects sync with the Salesforce campaign. Options include: Choose a method based on your Pardot setup. For example, adding new subscribers to a LinkedIn advertising campaign using Automation Rules. Marketing Cloud Tasks Configuration involves three parts: The setup is now complete, and Pardot and Advertising Studio are connected. New prospects in Pardot added to the Salesforce campaign will automatically update the Advertising Audience based on the sync frequency set. Connect Pardot and Ad Studio in Salesforce Like Related Posts 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 How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains 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 Overlooked Costs of a Salesforce Implementation Let’s look at some frequently overlooked Salesforce costs. The goal is to provide businesses and decision-makers with a comprehensive understanding Read more

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November 30, 2022in Salesforce Marketing Cloud, Salesforce Marketing Cloud Advertising
What's Up With Whatsapp
29Nov

Whats Up With Whatsapp?

Salesforce and WhatsApp Forge Alliance to Revolutionize Global Customer Engagement. Whats Up With Whatsapp today? In a groundbreaking collaboration, Salesforce and Meta have joined forces to redefine how individuals and businesses interact on a global scale. Salesforce will introduce WhatsApp-first business messaging to its customers, presenting a novel avenue for sales, marketing, and support initiatives directly within conversational threads. This strategic partnership aims to elevate customer engagement, expedite sales processes, and enhance customer support outcomes through seamless, real-time interactions. Messaging represents the forefront of customer engagement, emerging as the preferred channel for communication among consumers worldwide. A staggering 90% of customers emphasize the significance of the experience a company offers, placing it on par with the quality of its products or services. Moreover, a substantial 66% of online adults across the globe favor messaging as their primary mode of communication with businesses. At Dreamforce 2022, Salesforce and Meta announced their strategic collaboration, paving the way for Salesforce customers to establish direct connections with their clientele and craft innovative messaging experiences on WhatsApp. This integration will facilitate modern, convenient, and personalized interactions between individuals and businesses, transcending traditional boundaries across marketing, commerce, and service domains. Leveraging the groundbreaking Salesforce Genie data platform, companies can engage their customers through tailored, real-time interactions, bolstered by seamless integration with Facebook and Instagram. Whats Up With Whatsapp This transformative integration empowers brands to effortlessly customize their interactions, delivering timely responses, comprehensive support, and effective product promotions. By catering to customer preferences for convenience and personalization, businesses can significantly enhance engagement, loyalty, and overall satisfaction. Leading brands like L’Oréal are poised to revolutionize customer engagement through WhatsApp-branded experiences, enabling faster, more immersive interactions and 24/7 support within messaging threads. As Asmita Dubey, Chief Digital & Marketing Officer at L’Oréal, affirms, this innovative solution presents an unparalleled opportunity to drive conversational commerce and foster deeper engagement with customers in the beauty industry. Messaging represents a pivotal frontier in customer engagement, offering a direct and preferred channel for interaction. With the integration of WhatsApp into Salesforce’s Marketing Cloud, Service Cloud, and Commerce Cloud applications, businesses can seamlessly integrate promotional and customer service messaging, further enhancing customer engagement and loyalty globally. The innovative features offered through WhatsApp-first business messaging, coupled with the robust capabilities of Salesforce’s suite of applications, enable brands to craft personalized customer experiences at scale. By leveraging AI-driven insights and automation, businesses can streamline sales and service conversations, leading to improved efficiency and customer satisfaction. Furthermore, customizable message templates, interactive elements, and stringent privacy measures ensure that every interaction on the platform is tailored, secure, and aligned with customer preferences. Through this strategic alliance, Salesforce and WhatsApp are poised to empower businesses worldwide to deliver personalized, conversational experiences that drive sales, enhance customer service, and foster lasting connections with customers across diverse markets. As Michael Affronti, General Manager of Messaging at Salesforce, succinctly summarizes, “WhatsApp-first business messaging enables every Salesforce customer to provide personal and conversational experiences that increase sales, improve customer service, and engage customers wherever they are.” Availability: The Salesforce Integration with WhatsApp Business Platform for Marketing Cloud is slated to be generally available in December 2022, with additional integrations expected to follow in subsequent months. *Based on Business Messaging Usage Research by Kantar; April 2022. Get in touch with your customers via the world’s most popular messaging app. Connect your business to the WhatsApp Business API. And unlock all the features that will boost your business. Setting Up WhatsApp in Service Cloud Enable your support team to assist customers via WhatsApp by creating a Messaging channel. Customers can reach out to your company through the mobile or desktop app, and agents can respond directly from the Service Console. Required Editions: Available in Lightning Experience. Explore Enhanced WhatsApp Channel Capabilities: In an enhanced WhatsApp channel within Salesforce, your support team gains access to a suite of messaging tools designed to efficiently resolve customer issues. Agents and enhanced bots can communicate with customers using various formats, including voice messages, different file types, and questions with clickable options. If necessary, agents can transfer customers to other agents, queues, or Omni-Channel routing flows, or mark a session as inactive if the customer becomes unresponsive. Additional features such as read and delivery receipts, typing indicators, flag raise, and supervisor whisper empower agents to manage their workload effectively. Moreover, agents can initiate messaging sessions with customers, while administrators can utilize flows to send automated notifications based on approved WhatsApp templates. Starting an Active WhatsApp Conversation from the Service Console: You can create one or multiple enhanced WhatsApp channels via the Messaging Settings page in Setup, with each channel associated with a distinct messaging platform number. Important Notes: Standard WhatsApp channels are set to retire in mid-2025 due to WhatsApp API changes. As of July 1, 2024, creating new standard WhatsApp channels is no longer possible. To prevent service disruptions, it’s recommended to upgrade existing standard channels to enhanced ones before July 30, 2025. Refer to Considerations for Upgrading or Migrating to Enhanced WhatsApp for further details. Getting Started: From the WhatsApp VP of Business Messaging at Meta New integration will help businesses build experiences to chat with customers on WhatsApp, while being able to manage communication directly from the Salesforce platform. We want more people to benefit from faster, richer interactions, and we continue to invest in ways to make it quick and easy for businesses to get up and running on the platform. Today we’re taking a big step in making our WhatsApp Cloud API’s powerful capabilities easily available to all Salesforce customers globally, through a new partnership that will enable these businesses to offer new experiences right on WhatsApp and easily manage these across Salesforce Customer 360 applications. Messaging is quickly becoming the go-to way for businesses to communicate with their customers. Already, more than one billion users connect with a business account across Meta’s messaging services every week, and this pace is only accelerating. Earlier this year, we opened up the WhatsApp Business Platform to

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November 29, 2022in Salesforce
revenue cloud
28Nov

CPQ Revenue Cloud Billing Salesforce

Unleash the Power of Salesforce CPQ for Seamless Product Configuration: CPQ Revenue Cloud Billing Salesforce Maximize the potential of Salesforce CPQ to effortlessly configure all your products. Empower sales representatives with the knowledge to provide accurate quotes through guided product discovery, solution selling, and advanced configuration logic. Boost sales productivity by seamlessly integrating configure, price, and quote capabilities into your CRM system. Quickly generate quotes with guided selling flows, product bundles, and discounting rules while ensuring business risk mitigation through built-in controls, approval workflows, and compliance measures. CPQ Revenue Cloud Billing Salesforce: Elevate your sales operations with Salesforce CPQ and Revenue Cloud, driving growth and efficiency across all sales channels while ensuring seamless customer interactions and comprehensive revenue management. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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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November 28, 2022in Salesforce, Salesforce CPQ, Salesforce Manufacturing Automotive Energy, Salesforce Revenue Cloud, Salesforce Sales Cloud
Einstein Chatbot Salesforce
23Nov

Einstein Chatbot Salesforce

Salesforce users have two options for creating a chatbot: either using an external platform and integrating the final product through Salesforce Lightning, or directly developing it within Salesforce Einstein Bot. Salesforce prioritizes empowering customers to create applications without the need for coding. Einstein Chatbot Salesforce. Einstein Bots utilize Artificial Intelligence (AI) to enhance the customer service experience across various channels such as SMS, Chat, Slack, Facebook Messenger, and WhatsApp, supporting conversations in multiple languages. They offer personalized and intelligent service by leveraging AI-powered chatbots integrated directly into the CRM. With just a few clicks, users can expedite issue resolution and boost productivity by utilizing AI-generated responses or automating routine tasks with bots integrated into Salesforce data. These secure, multilingual bots can be deployed on enhanced messaging channels, including in-app, web, and third-party platforms, as well as Slack and the Einstein Bots API. Creating an Einstein Bot: Enhanced Features for Einstein Bots: Einstein Bots offer various benefits: Salesforce Einstein Chatbots provide a valuable solution for organizations aiming to streamline customer service, reduce case volume, and enhance overall customer experience across diverse channels and languages. 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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November 23, 2022in Salesforce Einstein
Salesforce Sales Cloud
22Nov

Preparing Salesforce Sales Cloud Data for Salesforce Einstein

Data quality holds significant importance in your CRM, even in the absence of AI, as it aids sales representatives in enhancing efficiency, fostering customer trust, and utilizing Salesforce more effectively. preparing Sales Cloud Data for Salesforce Einstein When AI is integrated, the significance of data quality is further heightened. The predictive models underlying Sales Cloud Einstein rely on your Salesforce data; hence, having complete and accurate data is crucial for Einstein to provide optimal predictions, recommendations, and insights. However, data quality isn’t the sole factor in the AI equation—data quantity is equally vital. Sales Cloud Einstein leverages machine learning to identify patterns in vast data sets, and these patterns yield reliable intelligence. To facilitate pattern identification, Sales Cloud Einstein requires a substantial amount of historical data. Einstein Readiness Assessor The Einstein Readiness Assessor is a tool that evaluates whether you meet the prerequisites for specific Sales Cloud Einstein features. This tool analyzes your Salesforce implementation, generating a personalized report indicating which Einstein features you can use immediately and which ones need further preparation. When analyzing your data, your Salesforce administrator should focus on identifying missing records, duplicate records, data standardization issues, incomplete records, and stale data. Dimensions such as age, completeness, accuracy, consistency, duplication, and usage can be used to assess data quality. To address data quality issues, the Salesforce AppExchange offers various packages and tools that provide access to reports and dashboards with just a few clicks. Once you’ve assessed the health of your data, you can develop and implement a data management plan. A typical plan establishes standards for creating, processing, and maintaining data, including naming conventions, formatting for dates and money, and standardizing field data with picklists. Workflows and Automations Workflows and automations should be implemented around processes for record creation, reviewing, updating, and archiving to maintain data integrity. Company-wide standards for data quality, ownership, responsibility for changes, and notifications for data changes should be established. Appropriate privacy levels for data, considering regulatory, legal, and contractual requirements, along with roles and permission sets for users, should be determined and set up. Monitoring, with an outlined process for quality control of data, is essential to ensure that your Salesforce data remains Sales Cloud Einstein ready. This includes determining the frequency, scope, owners, and checks for updating data, preventing duplicates, merging records, adding records, and archiving records. Preparing Sales Cloud Data for Salesforce Einstein Salesforce’s flexibility allows customization to support your company’s data management plan. Ensure all required fields for your business are mandatory in Salesforce, and use validation rules and data governance to enforce correct entries for numeric fields. Workflow rules can automate standard internal procedures and processes, saving time and preventing human error. Modify page layouts to display only relevant data to users, and use data enrichment tools available through Data Apps on the AppExchange to append data accurately. Duplicate management tools built into Salesforce help prevent the creation of new duplicates, contributing to accurate and healthy data. Data integrity, encompassing security, accuracy, and overall data quality, is crucial for every measurable success metric in your business, whether you use Salesforce as a standalone tool or in conjunction with add-ons like Sales Cloud Einstein. If the task of getting your Salesforce data Sales Cloud Einstein ready is overwhelming, the Tectonic team offers assistance. For those starting to implement Salesforce, Tectonic’s Salesforce Quickstarts are worth exploring. 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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November 22, 2022in Einstein Insights, Salesforce Sales Cloud
Email Objectives
21Nov

Email Objectives

Gain clarity on your email marketing objectives. What specific targets does your email program need to achieve? Is it aiming for a 5% increase in the subscriber base over the next six months? Or perhaps it’s focused on reducing unsubscribes or boosting clicks to conversions? Understanding your email marketing objectives is akin to wielding a secret weapon for small businesses and B2B marketing, enabling them to cultivate and nurture robust relationships with their audience. Every successful email marketing campaign owes its triumph to well-defined goals and objectives. Without these guiding stars, even the most compelling emails risk falling flat or veering off course. This article delves into the pivotal importance of establishing clear targets in email marketing and provides insights into crafting them for optimal impact. Without a clear direction, you may inadvertently inundate your subscribers with emails solely focused on immediate conversions. Over-emailing without established objectives can lead to subscriber fatigue, ultimately tarnishing your customer file. Email marketing objectives revolve around creating and disseminating valuable content that resonates with the audience. Whether it’s newsletters, product updates, helpful information, or industry insights, the aim is to deliver content that adds value to the recipient’s experience. Understanding SMART Goals for Email Campaigns Your email campaign goals should be SMART: Specific: Define precise goals like “Increase email open rates by 15%.” Measurable: Quantify your objectives, such as “Generate 500 new leads through email sign-ups.” Achievable: Ensure your goals are feasible with the resources at your disposal. Relevant: Align your goals with your overall marketing strategy and business objectives. Time-Bound: Set deadlines, for instance, “Achieve a 10% click-through rate within the next two months.” Incorporating SMART email campaign goals allows you to plan activities effectively and allocate resources for success. Here are some examples of SMART email marketing goals: Increase email open rates by 10% within the next six months. Generate $10,000 in revenue from email marketing within the next three months. Achieve a 5% conversion rate on our email marketing campaigns within the next year. Grow our email list by 500 subscribers within the next quarter. Improve customer engagement with our emails by sending at least two emails per month to our subscribers. Regularly monitor your progress by reviewing the performance of your emails. Analyze aggregated data, campaign categories, and individual email sends to identify top-performing content. Incorporate successful strategies into other campaigns and compare your findings against benchmarks. Share insights with your broader organizational partners. What is a KPI in Email Marketing? Key Performance Indicators (KPIs) are measures of various aspects of an email campaign’s performance. Tracking email KPIs provides insights into who opens your marketing emails and who forwards them to other contacts. The Consequences of Ambiguous Objectives in Email Marketing In online communication, having clear objectives is paramount. Unclear goals are akin to embarking on a journey without a map, leading to significant challenges in email marketing. Here’s why: Mixed-Up Marketing: Unclear goals can result in scattered marketing efforts, confusing or deterring potential customers. Wasting Time and Money: Lack of clarity may lead to misallocation of resources, causing missed opportunities and inefficiencies. Loss of Trust: Subscribers expect valuable content. Unclear goals may result in content that doesn’t meet expectations, eroding trust and credibility. In summary, while the pace of email marketing may be swift, unclear goals can precipitate numerous challenges. Clarity and focus are essential to mitigate these issues and drive better results. Email marketing transcends mere message exchange; it represents a strategic journey laden with specific goals. Inform: Provide subscribers with useful and pertinent information to establish trust and credibility. Attract: Expand the subscriber base by creating engaging campaigns and leveraging lead magnets. Engage: Foster active interaction with subscribers by delivering compelling content that prompts them to open, click, and respond. Guide: Lead subscribers through various stages of the customer journey, nurturing leads and facilitating conversions. Nurture: Build and maintain relationships with subscribers by understanding their needs and preferences, tailoring content to cultivate long-term loyalty. Convert: Prompt recipients to take specific actions, solidifying the impact of the email marketing strategy. Each email serves as a narrative and an opportunity for businesses to connect with their audience. By setting clear goals, email marketing campaigns can be purposeful, effective, and aligned with overarching business objectives. 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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November 21, 2022in Salesforce
Salesforce Integration
19Nov

Salesforce Implementation Services

As certified experts, Tectonic offers comprehensive Salesforce implementation, management, and support services. Seek professional guidance from a trusted Salesforce Partner. Tectonic’s Salesforce implementation services encompass consulting, configuration, customization, migration, integration, support, and more. With over a decade of experience in CRM development, Tectonic assists companies in implementing robust Salesforce solutions that empower their sales, customer service, and marketing processes. Who participates in Salesforce implementation? The implementation team should include sales agents, customer service representatives, IT experts, marketers, general users, and business administrators. And of course, your Salesforce implementation partner. As an experienced Salesforce Partner, we follow a proven six-phase approach to ensure project success: Kickoff, Discovery, Build, Test, Deploy, and Service. Is it possible to implement Salesforce independently? Yes, but, we strongly discourage attempting a solo Salesforce implementation, especially if you are new to the platform. While Salesforce provides an admin-friendly interface, the risk of creating a non-scalable solution is high without expert guidance. Do you need a Salesforce implementation partner? In cases involving large-scale projects requiring a team of 10+ Consultants, engaging a Certified Implementation Partner is recommended. What are the critical success factors for Salesforce implementation? A well-defined strategy aligned with business goals, user training, effective data migration, proper customization, ongoing support, user adoption, clear communication, and commitment to continuous improvement are crucial elements. How long does Salesforce implementation take? On average, implementation for core products like Sales Cloud takes 5 to 12 weeks. The timeline may extend for a few months with add-ons or highly customized projects. How challenging is Salesforce implementation? Implementing Salesforce can be challenging and overwhelming, with up to 70% of CRM platform implementations facing difficulties. Salesforce itself recommends working with a Salesforce Implementation partner. One of the biggest challenges with the Salesforce platform is that it is highly customizable, this is not software you install and run with. Being highly customizable, however, is also why Salesforce is the number one CRM solution in the world. Why do Salesforce implementations fail? Failures in Salesforce implementations can result from fundamental data problems such as incomplete, inaccurate, or duplicative data, leading to issues like poor customer experience and incorrect budget forecasting. The lifecycle of Salesforce development involves planning, design, development, testing, deployment, and maintenance phases. The development process includes analyzing requirements, designing a solution, building and testing, and deploying it to end users. Is it time to explore bringing in a Salesforce implementation partner? Contact Tectonic today. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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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November 19, 2022in Data, Salesforce, Salesforce Implementation Services
Journey to Data-Driven
17Nov

Journey to Data-Driven

Data is the new fuel for business, powering your ability to report, analyze, and optimize processes, ultimately unlocking significant value. With the advent of technologies like AI, you can mine your data even more thoroughly, uncovering white space opportunities and identifying new markets. Data empowers you to evolve into a responsive, intelligent enterprise. However, achieving this transformation requires more than just collecting data and pressing play. Becoming a Data-Driven Intelligent Enterprise To truly become a data-driven and data-centric intelligent enterprise, there are several critical steps you must take. First, you need an intelligent platform that integrates your data across the entire value chain, breaking down silos between lines of business (LOBs) and their respective applications. This platform should offer transparency and generate real-time, data-driven insights to support fast decision-making and continuous improvement. It should not only enhance your processes but also predict and improve the quality of your products or services. The journey begins with establishing a powerful platform that integrates business processes and provides a single source of truth. The next step is leveraging cloud technologies to advance your data-driven capabilities. This architecture allows you to quickly adopt and integrate innovative technologies like AI, blockchain, or IoT. To fully realize the potential of an intelligent enterprise, you need an intelligent and automated platform—specifically, a modern data platform that unifies all your data. Why is this important? An integrated data platform enables you to identify cross-references between data sets from diverse sources, uncovering insights that manual analysis might miss. This platform should integrate data from sensors, documents, social media, IT applications, production lines, machinery, external sources, and other media. Integrating data across silos unlocks insights you didn’t know you needed and ensures you maintain high standards for the quality of your processes, products, and services. However, to effectively extract and analyze this wealth of data, you’ll need a robust framework that delivers faster, more precise, and more efficient insights. Our experts are here to help you build this framework and guide your journey toward becoming a truly intelligent enterprise. 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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November 17, 2022in Salesforce
Salesforce CDP
16Nov

CDP Salesforce

What is a CDP in Salesforce? A customer data platform (CDP) is an application that gathers, organizes and enriches data from multiple sources, while being marketer-centric, versus sales/service-centric like a CRM. It is a key enabler to organizations that want to maximize return on all the data they have collected and own around their customers. The CDP combines all the data from all the sources in real time so you can make hyper-personalized offers and experiences that feel like magic. This means connecting all the customer data back to email engines, demand-side platforms, and content management systems. What is the difference between Salesforce Genie and CDP? SFDC CDP follows the audience segmentation + data activation protocols. Salesforce Genie allows for data unification and identity resolution. Is CDP same as data cloud? Data Cloud shares the same purpose and benefits that CDPs deliver – however Data Cloud is not the same as the technology that was formerly Salesforce CDP. Data Cloud takes CDP’s capabilities, and extends the benefits right across the “Customer 360” (i.e. Salesforce’s product portfolio). What can a Customer Data Platform do for your brand? CDPs connect customer data so every team has insight into how a customer interacts with you on every platform. 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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November 16, 2022in Data, Google, Salesforce, Salesforce Hospitality Travel and Transportation, Salesforce Implementation Services, Technology
tectonic logo
14Nov

AI Large Language Models

What Exactly Constitutes a Large Language Model? Picture having an exceptionally intelligent digital assistant that extensively combs through text, encompassing books, articles, websites, and various written content up to the year 2021. Yet, unlike a library that houses entire books, this digital assistant processes patterns from the textual data it undergoes. This digital assistant, akin to a large language model (LLM), represents an advanced computer model tailored to comprehend and generate text with humanlike qualities. Its training involves exposure to vast amounts of text data, allowing it to discern patterns, language structures, and relationships between words and sentences. How Do These Large Language Models Operate? Fundamentally, large language models, exemplified by GPT-3, undertake predictions on a token-by-token basis, sequentially building a coherent sequence. Given a request, they strive to predict the subsequent token, utilizing their acquired knowledge of patterns during training. These models showcase remarkable pattern recognition, generating contextually relevant content across diverse topics. The “large” aspect of these models refers to their extensive size and complexity, necessitating substantial computational resources like powerful servers equipped with multiple processors and ample memory. This capability enables the model to manage and process vast datasets, enhancing its proficiency in comprehending and generating high-quality text. While the sizes of LLMs may vary, they typically house billions of parameters—variables learned during the training process, embodying the knowledge extracted from the data. The greater the number of parameters, the more adept the model becomes at capturing intricate patterns. For instance, GPT-3 boasts around 175 billion parameters, marking a significant advancement in language processing capabilities, while GPT-4 is purported to exceed 1 trillion parameters. While these numerical feats are impressive, the challenges associated with these mammoth models include resource-intensive training, environmental implications, potential biases, and more. Large language models serve as virtual assistants with profound knowledge, aiding in a spectrum of language-related tasks. They contribute to writing, offer information, provide creative suggestions, and engage in conversations, aiming to make human-technology interactions more natural. However, users should be cognizant of their limitations and regard them as tools rather than infallible sources of truth. What Constitutes the Training of Large Language Models? Training a large language model is analogous to instructing a robot in comprehending and utilizing human language. The process involves: Fine-Tuning: A Closer Look Fine-tuning involves further training a pre-trained model on a more specific and compact dataset than the original. It is akin to training a robot proficient in various cuisines to specialize in Italian dishes using a dedicated cookbook. The significance of fine-tuning lies in: Versioning and Progression Large language models evolve through versions, with changes in size, training data, or parameters. Each iteration aims to address weaknesses, handle a broader task spectrum, or minimize biases and errors. The progression is simplified as follows: In essence, large language model versions emulate successive editions of a book series, each release striving for refinement, expansiveness, and captivating capabilities. 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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November 14, 2022in Data, Salesforce, Salesforce Einstein, Technology
Salesforce Managed Services
11Nov

Salesforce Managed Services

Salesforce is as a powerful CRM platform, streamlining operations, boosting productivity, and enhancing customer satisfaction. Nevertheless, the task of maintaining and optimizing a Salesforce org poses challenges for any business, no matter how large the IT team. To surmount these obstacles, many enterprises are turning to SFDC Managed Services.  Managed Services are a cost-effective solution to remote system administration and development providing maximum flexibility. Salesforce Managed Services Managed Services is the outsourcing of Sales, Marketing, and/or Customer Success functions to a certified Salesforce partner.   Your Salesforce MSP will provide optimal functionality to your Salesforce instance with minimal costs and hassle.  A Managed Services Provider can handle everything from installation and customization to ongoing administration and configuration in your org. Managed services entail an outsourcing model that delegates specific processes and functions to a third-party provider, aiming to optimize operations and reduce costs. This proactive approach concentrates on averting issues before they arise. With Managed Services, businesses gain access to the expertise of a dedicated Salesforce team, alleviating the complexities of hiring, managing, and retaining in-house employees. Avoiding the knowledge loss associated with employee turnover. This continuous support and maintenance solution enables businesses to keep their Salesforce org in optimal condition, aligned with their evolving needs. It also delivers essential consulting expertise to maximize the platform’s business value. Given that over 90% of Salesforce implementations involve enterprise-wide integrations and 60% utilize multiple Salesforce products, maintaining and optimizing a Salesforce org demands a broad skill set and a consulting mindset. By embracing SFDC Managed Services, businesses ensure they possess the necessary resources to fully capitalize on their Salesforce investment. What are managed services? Managed services for Salesforce are the best solution for businesses irrespective of their size and scope. It empowers organizations to reduce operational costs while aligning more specialized experts for implementation, training, administration, and support. Managed Service Provider The Managed Service Provider (MSP) Track is designed for partners that connect with their customers in entirely new ways by offering managed services. Unlike consulting partners who engage with customers during sales and implementation only, MSP Partners offer services post-implementation or on an ongoing basis. Your Salesforce Managed Service Provider keeps your Salesforce working at optimal performance levels allowing you to deliver world-class customer service to your customers. For a tailored Salesforce Managed Services solution for your business, reach out to Tectonic today. Tectonic is ready to partner with you, offering Salesforce support at every stage of your journey. 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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November 11, 2022in Salesforce, Salesforce Managed Services
10Nov

Connecting Data Strategies to Business Goals

Getting a handle on organizational data may not pay off until business and technical stakeholders agree on the core objectives. Connecting Data Strategies to Business Goals ensures the goals are met. Many leaders admit they need tighter alignment: Forty-one percent of line-of business leaders say their data strategy has only partial or no alignment with business objectives. Similarly, 37% of analytics and IT leaders see room for improvement. Part of the disconnect may stem from a lack of shared KPIs. Over six in 10 analytics and IT leaders are in the dark about line-of business teams’ data utilization or speed to insight. Fewer than one-third of analytics and IT leaders track the value of data monetization. This raises the issue of whether the majority of teams can effectively quantify the ROI of data initiatives for business stakeholders in the first place. Bring together known and unknown data from all your sources, for a true 360 customer view. Connecting Data Strategy to Business Goals: A 5-Step Approach 1. Identify Business Objectives and Goals Start by clearly identifying your organization’s business objectives and goals. Review your mission statement, conduct a SWOT analysis, define SMART goals, and engage with stakeholders to understand their priorities. Prioritize these goals based on their importance and impact. 2. Assess Current Data Landscape Conduct a comprehensive assessment of your current data landscape. Perform a data inventory, assess data quality, identify any gaps, evaluate data governance policies, and determine your organization’s data analytics capabilities. 3. Identify Gaps and Pain Points Identify gaps and pain points by conducting a gap analysis, analyzing customer feedback, reviewing operational processes, evaluating data analytics capabilities, and engaging with stakeholders. This step is crucial for tailoring your data strategy to address specific needs. 4. Develop a Data Strategy Develop a data strategy aligned with your business goals. Define your data vision, identify relevant data sources, develop data governance policies, define data analytics capabilities, and prioritize data initiatives based on their impact. Ensure that your strategy addresses the identified gaps and pain points. 5. Implement Data Governance Implement robust data governance to ensure the effectiveness and sustainability of your data strategy. Define data ownership, develop policies and procedures aligned with business goals, implement data quality controls, monitor data usage, and provide training to employees on data governance principles. By following these steps, you can establish a strong connection between your data strategy and business goals, enabling your organization to leverage data effectively to achieve its objectives. Current Trends Shaping the Future of Data and Business Strategy: What are the 6 key components of a data strategy? These components may differ among data assets depending on their priority and relationship to institutional goals and operational needs. An investment in data strategy is an investment in the achievement of your company’s strategic vision. 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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November 10, 2022in Salesforce
Salesforce Managed Services
09Nov

Automation Tools in Salesforce

What are the types of automation in Salesforce? What are the Automation Tools in Salesforce? The automation capabilities offered by Salesforce are based on two main categories: process automation (workflows) and data operations (data loading and cleansing). There are four main automation tools that Salesforce offers, each tailored to a specific purpose. What is an automation tool in Salesforce? Automation provides the tools necessary to automate repetitive processes and tasks for your business, such as creating a follow-up task, sending a reminder email, or updating a record. Automations can help users save critical time and reduce errors by creating processes to complete repetitive tasks. The Top 8 Best Salesforce Automation Tools What is data automation in Salesforce? Healthy automation enables users to focus on high-value work and reduces time spent on repetitive, manual tasks or complex data entry. Most often, automation means translating business processes from one form to another: from paper-based form to digital form, from an old system to a new one. What is the power of automation in Salesforce? By adopting Salesforce automation, you save time and resources, which can be redirected to more productive tasks. Sales automation can reduce daily administrative time by 14%. Moreover, it significantly enhances deal closure rates by 30% and boosts sales productivity by 14.5%. Why is Salesforce difficult to automate? Here are some of the reasons why Salesforce is difficult to automate from a technical perspective: Frequent system updates: Salesforce regularly update their platform to enhance user experiences or fix underlying issues. Unfortunately, these changes can impact user customizations and even standard uses of the platform. This is one reason many Salesforce customers opt to have a Salesforce Managed Service Provider. Disadvantages of Salesforce Flow Limited Customization and Complexity: While Salesforce Flow is considered user-friendly, it may not offer the customization and complexity required for some advanced automation tasks. Businesses with highly specific needs might find Flow somewhat restrictive. Which three components are used to automate a process in Salesforce? Use Flow Builder to automate most of your organization’s repetitive business processes. More features can provide further automation functionality, including approval processes, Flow Orchestration, Einstein Next Best Action, and Apex. Note: Use Flow Builder instead of Process Builder and workflow rules. Content updated January 2024. 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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November 9, 2022in Data, Salesforce, Salesforce Development Services, Salesforce Flow, Salesforce Implementation Services, Salesforce Managed Services
Salesforce Slack
09Nov

Enable Salesforce for Slack Integrations

Seamlessly integrate Salesforce and Slack to unlock enhanced collaboration through Slack apps, tools, and services. Follow these admin procedures to enable Salesforce for Slack integrations. Required User Permissions To set up and use Salesforce for Slack, ensure users have the appropriate permissions or permission sets: Action Required Permissions/Permission Sets Connect Salesforce and Slack Connect Salesforce with Slack (system permission on supported Salesforce licenses) Use the Sales Cloud for Slack app Slack Sales User Use the PRM for Slack app PRM for Slack app Salesforce User or PRM for Slack Partner app User Use the Service Cloud for Slack app Connect Salesforce with Slack, Slack Service User, Run Flows Use the CRM Analytics for Slack app Connect Salesforce with Slack Also recommended: Note: Salesforce for Slack apps are not supported in Government Cloud or Government Cloud Plus orgs. Do not enable this feature in such environments. Contact your Salesforce Account Executive for more details. Steps to Enable Salesforce for Slack Integrations Follow these steps to set up and enable the integration: 1. Navigate to Slack Apps Setup 2. Accept Terms and Conditions 3. Enable Applications 4. Set Up Required Permissions 5. Configure Object Permissions 6. Install Slack Apps 7. Complete Additional App Setup 8. Customize Field Access (Optional) For Individual Users After the integration is complete, instruct users to: By following these steps, you can ensure seamless Salesforce and Slack integration, enhancing productivity and collaboration across your organization. Content updated October 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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November 9, 2022in Enterprise, Salesforce, Salesforce Slack
ChatGPT and Einstein GPT
08Nov

ChatGPT and Einstein GPT

Artificial intelligence (AI) has been rapidly advancing globally, with breakthroughs captivating professionals across various sectors. One milestone that has gained significant attention is the emergence of ChatGPT, a cutting-edge language model revolutionizing the tech landscape. This development has profoundly impacted businesses relying on Salesforce for their customer relationship management (CRM) needs. In March 2023, Salesforce unveiled its latest AI innovation, Einstein GPT, promising to transform how companies engage with their clientele. In this article, we explore what Salesforce Einstein GPT entails and how it can benefit teams across diverse industries. When OpenAI introduced ChatGPT in November 2022, they didn’t expect the overwhelming response it received. Initially positioned as a “research preview,” this AI chatbot aimed to refine existing technology while soliciting feedback from users. However, ChatGPT quickly became a viral sensation, surpassing OpenAI’s expectations and prompting them to adapt to its newfound popularity. Developed on the foundation of the GPT-3.5 language model, ChatGPT was specifically tailored to facilitate engaging and accessible conversations, distinguishing it from its predecessors. Its launch attracted a diverse user base keen to explore its capabilities, prompting OpenAI to prioritize addressing potential misuse and enhancing its safety features. As ChatGPT gained traction, it caught the attention of Salesforce, a leading CRM provider. In March 2023, Salesforce unveiled Einstein GPT, its own AI innovation, poised to transform customer engagement. Built on the GPT-3 architecture and seamlessly integrated into Salesforce Clouds, Einstein GPT promised to revolutionize how businesses interact with their clientele. Einstein GPT boasts a range of features designed to personalize customer experiences and streamline workflows. From generating natural language responses to crafting personalized content and automating tasks, Einstein GPT offers versatility and value across industries. By leveraging both Einstein AI and GPT technology, businesses can unlock unprecedented efficiency and deliver superior customer experiences. Despite its success, OpenAI acknowledges the need for ongoing refinement and vigilance, emphasizing the importance of responsible deployment and transparency in the development of AI technology. Exploring Einstein GPT Salesforce presents Einstein GPT as the premier generative AI tool for CRM worldwide. Utilizing the advanced GPT-3 architecture, Einstein GPT seamlessly integrates into all Salesforce Clouds, including Tableau, MuleSoft, and Slack. This groundbreaking technology empowers users to generate natural language responses to customer inquiries, craft personalized content, and compose entire email messages on behalf of sales personnel. With its high degree of customization, Einstein GPT can be finely tuned to meet the specific needs of various industries, use cases, and customer requirements, delivering significant value to businesses of all sizes and sectors. Objectives of Salesforce AI Einstein GPT Salesforce AI Einstein GPT is designed to achieve several key objectives: Distinguishing Einstein GPT from Einstein AI Einstein GPT represents the latest evolution of Salesforce’s Einstein artificial intelligence technology. Unlike its predecessors, Einstein GPT integrates proprietary Einstein AI models with ChatGPT and other leading large language models. This integration enables users to interact with CRM data using natural language prompts, resulting in highly personalized, AI-generated content and triggering powerful automations that enhance workflows and productivity. By leveraging both Einstein AI and GPT technology, businesses can achieve unparalleled efficiency and deliver exceptional customer experiences. Features of Einstein GPT in Salesforce CRM Key features and capabilities of Salesforce Einstein chatbot GPT include: Utilizing Einstein GPT for Business Improvement Einstein GPT can be leveraged across various domains to enhance business operations: Integration with Salesforce Data Cloud Salesforce Data Cloud, a cloud-based data management system, enables real-time data aggregation from diverse sources. Einstein GPT utilizes unified customer data profiles from the Salesforce Data Cloud to personalize interactions throughout the customer journey. OpenAI on ChatGPT Methods We trained this model using Reinforcement Learning from Human Feedback (RLHF), using the same methods as InstructGPT, but with slight differences in the data collection setup. We trained an initial model using supervised fine-tuning: human AI trainers provided conversations in which they played both sides—the user and an AI assistant. We gave the trainers access to model-written suggestions to help them compose their responses. We mixed this new dialogue dataset with the InstructGPT dataset, which we transformed into a dialogue format. To create a reward model for reinforcement learning, we needed to collect comparison data, which consisted of two or more model responses ranked by quality. To collect this data, we took conversations that AI trainers had with the chatbot. We randomly selected a model-written message, sampled several alternative completions, and had AI trainers rank them. Using these reward models, we can fine-tune the model using Proximal Policy Optimization. We performed several iterations of this process. ChatGPT is fine-tuned from a model in the GPT-3.5 series, which finished training in early 2022. You can learn more about the 3.5 series here. ChatGPT and GPT-3.5 were trained on an Azure AI supercomputing infrastructure. Limitations ChatGPT and Einstein GPT Salesforce Einstein GPT signifies a significant advancement in AI technology, empowering businesses to deliver tailored customer experiences and streamline operations. With its integration into Salesforce CRM and other platforms, Einstein GPT offers unprecedented capabilities for personalized engagement and automated insights, ensuring organizations remain competitive in today’s dynamic market landscape. When OpenAI quietly launched ChatGPT in late November 2022, the San Francisco-based AI company didn’t anticipate the viral sensation it would become. Initially viewed as a “research preview,” it was meant to showcase a refined version of existing technology while gathering feedback from the public to address its flaws. However, the overwhelming success of ChatGPT caught OpenAI off guard, leading to a scramble to capitalize on its newfound popularity. ChatGPT, based on the GPT-3.5 language model, was fine-tuned to be more conversational and accessible, setting it apart from previous iterations. Its release marked a significant milestone, attracting millions of users eager to test its capabilities. OpenAI quickly realized the need to address potential misuse and improve the model’s safety features. Since its launch, ChatGPT has undergone several updates, including the implementation of adversarial training to prevent users from exploiting it (known as “jailbreaking”). This technique involves pitting multiple chatbots against each other to identify and neutralize malicious behavior. Additionally,

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November 8, 2022in Generative AI, Mulesoft, Salesforce, Salesforce Data Cloud, Salesforce Einstein
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