April, 2023 - gettectonic.com - Page 2
Designing the Salesforce Approval Request Page

Designing the Salesforce Approval Request Page

Designing the Salesforce Approval Request Page The approval request page allows approvers to respond to approval requests. Customize which fields appear on the page and their order specifically for this approval process. Required Editions: Options for Designing the Salesforce Approval Request Page: Designing the Approval Request Page 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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Sending Emails Through Salesforce

Email Segmentation

How to Initiate Email Segmentation: A Guide to Personalized Marketing Illustration depicting email segmentation: Three individuals seated on envelopes of different colors. Email segmentation serves as your marketing GPS, directing your message precisely to its intended destination. Customers increasingly seek personalized, relevant messages from brands. Here’s how a robust email segmentation strategy can achieve just that. Personalization is paramount in effective email marketing. While it’s widely acknowledged, executing it is another matter entirely. This is where email segmentation becomes invaluable. By categorizing your email list effectively, you lay the groundwork for delivering targeted content to the right audience. But what exactly entails segmentation, and how can you ensure its efficacy? Let’s dig into the details. Explore how brands like Mastercard and Grammarly leverage email marketing to foster enduring customer relationships. What Is Email Segmentation? Segmentation involves organizing your email recipients into smaller groups to deliver tailored information. These groups are typically based on behavioral or demographic data, such as geographical location, past purchases, or specific website interactions. For instance, imagine I’m an enthusiastic fitness buff residing in California who recently subscribed to a fitness newsletter. The segmentation possibilities abound: California residents, new subscribers, fitness enthusiasts, and those interested in particular workout types. As a member of such a segmented group, I might receive emails about exclusive California-based fitness events, personalized workout plans for beginners (reflecting my recent subscription), or promotions on fitness gear tailored to my preferences. This targeted approach fosters a more engaging and relevant experience for recipients. Segments can vary in scope, ranging from all individuals who purchased a product via your business’s Instagram site to more nuanced groups. Regardless, segmentation enables personalized and targeted content delivery, leading to increased conversions and a more satisfied customer base. Why Is Email Segmentation Important? Think of segmentation as your marketing GPS, guiding your message directly to its intended destination. By tailoring content to specific segments, you ensure that your audience receives information aligned with their interests, behaviors, and preferences. For instance, a large fashion retailer planning a sneaker sale can exclusively target an audience segment interested in athletic footwear. However, even small businesses can leverage segmentation effectively. Consider my local bakery, which identified my fondness for their cinnamon rolls. Instead of bombarding my inbox with irrelevant promotions, they sent me a coupon for a complimentary treat during my birthday month. This gesture transformed me from a casual customer into a loyal one, as it demonstrated care and personalized attention. Segmentation enables brands to speak their customers’ language. Different segments may respond better to varied tones, styles, or promotional offers. For instance, loyal customers may appreciate exclusive early access to sales, while new subscribers may value welcome discounts. Whether it’s appointment reminders from healthcare clinics or personalized shopping tips, segmentation facilitates meaningful conversations with each audience member. In the digital marketing realm, such interactions translate into lasting connections and business growth. Primary Types of Email Segmentation Several segmentation types warrant attention as you embark on your email marketing journey: Demographic segmentation: Organizing your email list based on attributes like age, income, gender identity, language, or ethnicity. For instance, a travel company may segment subscribers by age groups to tailor offerings, such as adventurous backpacking trips for younger demographics and relaxing cruises for older ones. Behavioral segmentation: Categorizing recipients based on actions and interactions, including purchase history, website interactions, and email engagement. For example, frequent purchasers of running shoes might belong to a “Running Enthusiasts” segment, receiving emails about the latest running gear. Geographic segmentation: Tailoring emails based on recipients’ locations to ensure content relevance. For instance, a clothing retailer may target customers in colder regions with promotions for winter apparel. Psychographic segmentation: Focusing on lifestyle, interests, values, and attitudes to deliver personalized content. For instance, a tech sales company may craft emails promoting gaming devices for one segment and productivity tools for another. Customer lifecycle segmentation: Recognizing subscribers’ positions in the customer journey to deliver appropriate content. For instance, new subscribers may receive onboarding emails, while loyal customers receive exclusive rewards. Waterfall segmentation: Prioritizing segments based on importance, ensuring targeted messaging without overwhelming recipients. Explore Email Segmentation Tools: Discover how customer relationship management (CRM) systems, analytics tools, and email marketing platforms facilitate effective segmentation. Key Tools for Email Segmentation Effective email segmentation relies on robust tools for data gathering, analysis, and execution: Customer relationship management (CRM) systems: Centralize and manage customer data, facilitating targeted campaigns. Analytics tools: Extract meaningful insights from data to inform segmentation strategies.Email marketing platforms: Utilize advanced segmentation features for creating targeted campaigns.Marketing automation tools: Streamline workflows based on segmentation criteria for efficient campaign execution. Integration between these tools ensures seamless data flow, enabling precise and personalized segmentation strategies. Harness the Power of AI for Segmentation Artificial intelligence (AI) enhances segmentation efforts through predictive analytics and machine learning: Predictive analytics: Forecast customer behaviors based on vast datasets, guiding segmentation strategies. Machine learning: Analyze customer interactions to identify patterns and predict future actions.AI-driven segmentation simplifies the process, allowing marketers to create segments effortlessly. Natural language prompts enable intuitive segmentation instructions without technical complexity. AI also enables dynamic and responsive strategies, continuously refining segmentation based on changing trends and customer preferences. By leveraging AI, marketers can adapt to evolving landscapes and ensure campaign relevancy. Future Trends in Email Segmentation As privacy regulations render cookies obsolete, email segmentation will rely on first-party data obtained directly from customers. Personalized, relevant content based on willingly shared information will be pivotal in building trust and comfort with customers. AI-driven tools will continue to revolutionize segmentation, offering predictive capabilities and automation for enhanced precision and efficiency. Predictive AI will forecast customer behaviors, enabling proactive targeting and refined segmentation. Email segmentation will remain a powerful force multiplier in the digital marketer’s pocket, amplifying the impact of personalization and customer journey mapping. By tailoring content to nuanced segments, marketers can foster deeper engagement and navigate the digital landscape with award winning customer experiences. Email segmentation empowers marketers to deliver personalized, relevant content to targeted audiences, fostering

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Salesforce Data Cloud

Salesforce Data Cloud vs Salesforce CDP

Salesforce Genie, hailed as the most significant innovation in Salesforce’s history, has morphed into Salesforce Data Cloud. Operating on a grand scale, Data Cloud seamlessly processes and stores real-time data streams, integrating them with Salesforce data to unlock highly personalized customer experiences. Salesforce Data Cloud vs Salesforce CDP – which one is for me? You might wonder if this aligns with what Data Cloud (formerly Salesforce CDP) accomplishes—unifying versions of individuals across applications and providing customer experiences based on diverse data sources. To clarify, while Data Cloud shares similar goals and benefits with CDP, it represents an evolution beyond the technology of the former Salesforce CDP. In the words of Eric Stahl, EVP Marketing at Salesforce, “With [Data Cloud], we moved the real-time data capabilities into the [Salesforce] platform so we can ingest, manage and activate data from anywhere. It’s also nested with Einstein for AI and Flow for automation.” Data Cloud vs. Salesforce CDP: Key Differences Data Cloud inherits the capabilities of Salesforce CDP but extends its benefits across the entire “Customer 360,” covering Salesforce’s product portfolio. Here are key differences: Data Cloud, the successor to Salesforce CDP, extends beyond traditional CDP definitions. With a focus on diverse use cases beyond marketing and a zero-data copy architecture, Data Cloud stands as one of Salesforce’s most promising products. While Data Cloud shares purposes and benefits with CDPs, it represents a new era in Salesforce’s commitment to customer data unification, activation, and insight generation. Salesforce CDP remains available and operational, providing users with distinct options tailored to their specific needs. If it is time to explore the power of Salesforce Data Cloud to your sales and marketing efforts, contact Tectonic today. Like2 Related Posts CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to 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 Marketing Cloud Account Engagement and Salesforce Campaigns The interplay between Account Engagement and Salesforce Campaigns often sparks confusion and frustration among users. In this insight, we’ll demystify Read more Consent Management Analytics and Data Quality Understanding Data Analytics Consent and Consent Management Why Consent Management is Crucial Consent Management Analytics and Data Quality. With laws Read more

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Customer 360 Data Model

Customer 360 Data Model

The Customer 360 Data Model simplifies the integration of data across cloud applications by providing standardized guidelines. It enables the extension of the data model for various purposes such as creating data lakes, generating analytics, training machine-learning models, and establishing a unified view of the customer. Organized into subject areas, the Customer 360 Data Model categorizes data into major business activities like customer information, product details, and engagement data. Each subject area comprises data model objects (DMOs), which serve as views of imported data from various sources such as data streams and insights. DMOs utilize attributes, or fields, to organize data in meaningful ways. They can be either standard DMOs, based on predefined schemas, or custom DMOs created directly within an organization. To utilize data imported into Data Cloud, it must be mapped to a DMO. This mapping process involves connecting a data source to Data Cloud and creating mapping sets between objects and fields within the source and the Customer 360 Data Model. The relationships between DMOs further consolidate disparate data, facilitating comprehensive analysis and utilization. The Customer 360 Data Model includes subject areas such as Case, Engagement, Loyalty, Party, Privacy, Product, and Sales Order, each serving specific organizational needs. Additionally, it encompasses individual and contact point objects, essential for complete data streams and ensuring consistency across applications and processes. Key object types within the Customer 360 Data Model include Individual, representing individuals dealt with in the system, and Contact Point objects like Email, Phone, Address, App, OTT Service, and Social handles. These objects capture essential information about individuals and their interactions. Moreover, attributes like Party Identification and Individual ID play crucial roles in data segmentation and identity resolution within Data Cloud. Individual ID Imported data customer identifiers must be mapped to the Individual ID field to drive identity resolution behavior and to receive accurate data when creating data segments. The Individual ID object is important to ensuring successful data in Data Cloud. When importing any customer information, it’s mapped to this object and remains consistent throughout the entire product. Data Cloud has a variety of data objects including data source objects (DSO), data lake objects (DLO), and data model objects (DMO). The Data Model offers a structured framework for organizing and utilizing data effectively, enabling organizations to derive actionable insights and enhance customer experiences across various applications and business processes. Tectonic is your source for Customer 360 Data Model from Salesforce. 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 Telephony Integration

Aircall and Salesforce Integration

Aircall offers inbound screen-pop and automation call logging.  Run outbound list dialer campaigns from any Salesforce list of records or reports. Aircall and Salesforce Integration. Use the Aircall Salesforce integration to place and receive phone calls directly in Sales Cloud or Service Cloud. With the Aircall Salesforce integration all calls are automatically logged directly into Salesforce and each caller’s history is saved. You can now very easily connect Salesforce with Aircall to ramp-up your CRM. Log calls will be created for any type of calls and will be assigned to the person who picks up the call. Does Salesforce have VOIP? Telephony in Salesforce is done through a VOIP (voice over internet protocol) service. Many offerings on the market provide this, including RingCentral, Natterbox, and Salesforce’s own Service Cloud Voice. What makes Aircall different? Aircall uses cloud-based technology so no more physical desk phones. Set up whole teams, in moments, no matter where they’re based. Benefit from performance insights and integrate Aircall with all your existing systems for better productivity. Salesforce CTI, or Computer Telephony Integration, is a feature that allows you to integrate your telephone system with your Salesforce account. This integration enables you to make and receive calls, view call history, and log call information directly from within Salesforce. 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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Custom List Views With LWC and Apex

Custom List Views With LWC and Apex

Creating a Custom List View in Salesforce Using LWC and Apex In this blog post, we’ll guide you through the process of creating a custom list view in Salesforce using Lightning Web Components (LWC) and Apex. This will enable you to fetch, display, and print Task records based on specific filters. We’ll cover the step-by-step development of the Apex controller, LWC component, and the creation of a list layout button to enhance your Salesforce interface. Prerequisites Step 1: Create a Visualforce Page Start by creating a Visualforce page that connects to the LWC, named ListviewPage. htmlCopy code<apex:page standardController=”Task” recordSetVar=”tasks” extensions=”CustomListViewInLwcCtrl”> <apex:includeLightning /> <style> #lightning { height: 100vh; } @media print { #lightning { height: auto; overflow: visible; } .print-section { height: auto; overflow: visible; } } </style> <div id=”lightning”></div> <script> console.log(‘work6’); var filterId = ‘{!filterId}’; console.log(‘Filter ID:’, filterId); $Lightning.use( “c:ExampleLWCApp”, function() { $Lightning.createComponent( “c:listviewpage”, { ‘filterId’: filterId }, “lightning” ); } ); </script> </apex:page> Step 2: Create an Aura Component htmlCopy code<aura:application extends=”ltng:outApp”> <aura:dependency resource=”listviewpage” /> </aura:application> Step 3: Create an Apex Controller Next, you’ll need an Apex controller to manage the fetching of list views and their associated records. apexCopy codepublic with sharing class CustomListViewInLwcCtrl { private String filterId; public CustomListViewInLwcCtrl(ApexPages.StandardSetController controller) { filterId = controller.getFilterId(); System.debug(‘FilterId–> ‘ + filterId); } public String getFilterId() { return filterId; } @AuraEnabled(cacheable = true) public static List<ListView> fetchTaskListView(String objectApiName) { try { return [ SELECT Id, Name, DeveloperName FROM ListView WHERE SObjectType = :objectApiName ORDER BY DeveloperName ASC ]; } catch (Exception e) { System.debug(‘Error fetching list views: ‘ + e.getMessage()); return new List<ListView>(); } } @AuraEnabled(cacheable = true) public static List<sObject> getTaskListviewRecord(String objectName, String listViewId, String limitsize, String offsize) { // Logic to fetch Task records } @AuraEnabled(cacheable = true) public static List<Map<String, String>> getTaskListviewLabel(String objectName, String listViewId) { // Logic to fetch Task record labels } } Step 4: Create a Lightning Web Component Create the LWC listviewPage that will interact with the Apex controller. HTML Template htmlCopy code<template> <div class=”slds-grid slds-wrap” style=”width: 280px;”> <div class=”slds-m-around_medium”> <lightning-combobox name=”listViewSelect” label=”Select List View” value={selectedListView} placeholder=”Select a List View” options={listViewOptions} onchange={handleListViewChange}> </lightning-combobox> </div> </div> <br> <div class=”slds-grid slds-wrap”> <div class=”slds-col slds-size_1-of-4″></div> <div class=”slds-col slds-size_3-of-4 slds-text-align_right”> <lightning-button variant=”brand” label=”Print” onclick={handlePrint}></lightning-button> </div> </div> <br> <div if:true={isLoading}> <lightning-spinner alternative-text=”Loading”></lightning-spinner> </div> <template if:false={isLoading}> <div class=”print-section”> <template if:true={records.length}> <lightning-datatable key-field=”Id” data={records} columns={columns} hide-checkbox-column></lightning-datatable> <div class=”slds-m-top_medium slds-text-align_center”> <lightning-button-group> <lightning-button class=”previous” label=”Previous” onclick={handlePrevious} disabled={disablePrevious}></lightning-button> <lightning-button class=”next” label=”Next” onclick={handleNext} disabled={disableNext}></lightning-button> </lightning-button-group> </div> </template> <template if:false={records.length}> <div class=”slds-text-align_center”> No records to display </div> </template> </div> </template> </template> JavaScript Controller javascriptCopy codeimport { LightningElement, track, wire, api } from ‘lwc’; import fetchListView from ‘@salesforce/apex/CustomListViewInLwcCtrl.fetchTaskListView’; import getTaskListviewRecord from ‘@salesforce/apex/CustomListViewInLwcCtrl.getTaskListviewRecord’; import getTaskListviewLabel from ‘@salesforce/apex/CustomListViewInLwcCtrl.getTaskListviewLabel’; const PAGE_SIZE = 100; export default class ListviewPage extends LightningElement { @api filterId; @track listViewOptions = []; @track selectedListView = ”; @track records = []; @track columns = []; @track isLoading = true; @track limitsize = PAGE_SIZE; @track offset = 0; connectedCallback() { console.log(‘Filter ID:’, this.filterId); } @wire(fetchListView, { objectApiName: ‘Task’ }) fetchListViewHandler({ data, error }) { if (data) { this.listViewOptions = data.map(listView => ({ label: listView.Name, value: listView.Id })); this.selectedListView = this.filterId || this.listViewOptions[0].value; this.fetchRecords(); } else if (error) { console.error(‘Error fetching list views:’, error); } } fetchRecords() { this.isLoading = true; getTaskListviewRecord({ objectName: ‘Task’, listViewId: this.selectedListView, limitsize: this.limitsize.toString(), offsize: this.offset.toString() }) .then(result => { console.log(`${result.length} records`, result); this.records = this.formatRecords(result); this.fetchLabels(); }) .catch(error => { console.error(‘Error fetching records:’, error); this.records = []; this.isLoading = false; }); } formatRecords(records) { return records.map((record, index) => ({ …record, Count: this.offset + index + 1, // Additional field mappings })); } fetchLabels() { getTaskListviewLabel({ objectName: ‘Task’, listViewId: this.selectedListView }) .then(labels => { this.columns = [ { label: ‘ ‘, fieldName: ‘Count’, type: ‘number’ }, …labels.map(labelInfo => ({ label: labelInfo.label, fieldName: labelInfo.fieldApiName, type: ‘text’ })) ]; this.isLoading = false; }) .catch(error => { console.error(‘Error fetching labels:’, error); this.isLoading = false; }); } handleListViewChange(event) { this.selectedListView = event.detail.value; this.offset = 0; this.fetchRecords(); } handlePrint() { if (confirm(‘Are you sure you want to print?’)) { window.print(); } } handlePrevious() { if (this.offset >= PAGE_SIZE) { this.offset -= PAGE_SIZE; this.fetchRecords(); } } handleNext() { this.offset += PAGE_SIZE; this.fetchRecords(); } get disablePrevious() { return this.offset === 0; } get disableNext() { return this.records.length < PAGE_SIZE; } } Step 5: Handle Remote Site Settings To allow your Apex class to make callouts, add your Salesforce org’s URL to the Remote Site Settings: Step 6: Create a List Layout Button To create a button that opens your custom list view Visualforce page: Conclusion This custom list view component in Salesforce allows for enhanced record handling, display, and printing, offering greater flexibility than the standard list views. By leveraging LWC and Apex, you can create a tailored experience for your users, improving their efficiency and overall satisfaction. If this was tl;dr, contact Tectonic for assistance 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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AI Drives Insights

AI Drives Insights

Innovations from Salesforce, HubSpot, and One AI are driving deeper insights and streamlining processes. Key Takeaways: AI is transforming the way businesses operate, and customer relationship management (CRM) is no exception. AI has been influencing the CRM space for years, but its impact is now reaching new heights. By harnessing AI algorithms, modern CRM systems offer predictive analytics and deeper insights, enabling brands to understand their customers on an unprecedented level. Advanced AI-enabled CRMs even incorporate sentiment analysis to gauge customer perceptions and provide automation tools to free marketers from mundane tasks. The global AI market, currently valued at $142.3 billion, continues to expand rapidly. From 2020 to 2022, annual corporate investments in AI startups increased by $5 billion, reflecting the growing demand for AI-driven innovations. As CRM vendors introduce more AI capabilities, it’s important to understand the unique approaches each one takes to differentiate themselves and deliver specific benefits. Salesforce and Einstein GPT: A New Era with OpenAI’s ChatGPT On March 7, 2023, Salesforce introduced Einstein GPT, a generative AI technology integrated into its CRM platform. Combining real-time data from Salesforce’s Data Cloud with OpenAI’s ChatGPT, Einstein GPT allows users to input natural-language prompts to streamline tasks and decision-making. Salesforce has long invested in AI. In 2017, it launched its Einstein AI as part of Service Cloud. By 2019, Salesforce had partnered with OpenAI to explore AI research and integrate advanced models into its ecosystem. The acquisition of Slack in 2020 further strengthened its AI capabilities by incorporating advanced messaging and communication tools into the CRM environment. Marc Benioff, CEO of Salesforce, highlighted the significance of AI’s growth: “The world is experiencing one of the most profound technological shifts with real-time technologies and generative AI. This comes at a pivotal moment as every company is focused on connecting with their customers in more intelligent, automated, and personalized ways.” Einstein GPT is set to transform customer engagement, with applications across Salesforce’s various platforms, including Tableau, MuleSoft, and Slack. HubSpot CRM: AI-Powered Content Assistant A day before Salesforce’s AI announcement, HubSpot revealed its own AI-powered features: the Content Assistant and ChatSpot.ai. These tools aim to enhance CRM users’ productivity while creating stronger connections with customers. HubSpot’s Content Assistant helps marketing and sales teams ideate, create, and share content through generative AI capabilities. It can suggest blog titles, create content outlines, and assist with crafting content for blogs, emails, landing pages, and websites. ChatSpot.ai, on the other hand, offers a natural-language chat experience to simplify CRM tasks for HubSpot users. HubSpot has also invested in AI for other functions, including conversation intelligence, data enrichment, predictive analytics, and content optimization, solidifying its position in the AI-driven CRM landscape. With AI advancements from companies like Salesforce, HubSpot, and One AI, the future of CRM is poised for enhanced efficiency, automation, and personalized customer interactions. 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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hospitality

Salesforce Einstein and Your Data

Einstein Lead Scoring is a robust tool, equipping sales teams to accelerate deal closures. Integrated into Salesforce’s Sales Cloud Einstein platform, this tool harnesses the power of artificial intelligence (AI) to analyze historical sales data, identifying leads with the highest likelihood of conversion. Salesforce Einstein and Your Data. Utilize AI to score leads based on their alignment with your company’s historical successful conversion patterns. Empower your sales team to prioritize leads according to their lead scores, and understand which fields most influence each lead score. Einstein Lead Scoring employs data science and machine learning to show patterns in your business’s lead conversion. Predicting which current leads to prioritize based on your business’s conversion patterns, Einstein offers a more straightforward, faster, and accurate solution compared to traditional rules-based lead scoring approaches. The tool examines past leads to identify commonalities with previously converted leads, scoring leads using various lead fields. Admins can exclude fields that don’t impact lead quality. Einstein also categorizes certain lead text fields, such as job titles or industries, creating associations for better pattern recognition. Einstein creates a predictive model for your organization, reanalyzing lead data every 10 days to ensure it captures emerging trends. Whether using a global model or a personalized one based on your data, Einstein Lead Scoring adds a Lead Score field to leads, allowing sales reps to prioritize work effectively. Sales representatives benefit from Einstein Lead Scoring’s ability to effortlessly identify and prioritize promising leads. The system, utilizing machine learning algorithms, scrutinizes data linked to lead records, recognizing patterns indicative of a heightened probability of conversion. Salesforce Einstein and Your Data Crafting a lead scoring model becomes a streamlined process with Einstein’s automated approach. The tool examines standard and custom fields associated with the Lead object, employing diverse predictive models like Logistic Regression, Random Forests, and Naive Bayes. Monthly model updates ensure ongoing accuracy and relevance, while leads receive scores hourly for the latest predictions. Einstein Lead Scoring facilitates lead segmentation and prioritization, offering insights into factors influencing conversion probabilities. These factors are prominently displayed on each lead record, enabling sales reps to prepare swiftly for every call, essentially providing each representative with a personal data scientist, elevating connection and conversion rates. Learn more about the lead prioritization process facilitated by Einstein Lead Scoring. Einstein Lead Scoring utilizes data science and machine learning to unveil patterns in your business’s lead conversion history, predicting which current leads to prioritize. This approach, leveraging machine learning, provides a simpler, faster, and more accurate solution compared to traditional rules-based lead scoring. The Scoring Model: Einstein analyzes past converted leads, including custom fields and activity data, to determine conversion patterns. Identifying current leads with commonalities to prior converted leads, Einstein builds one or more scoring models for your organization. During setup, Salesforce admins can choose to score all leads together or group them into segments based on field criteria. A separate scoring model is built for each lead segment, allowing admins to omit certain lead fields if necessary. The global model, utilizing anonymous data from multiple Salesforce customers, is employed when there isn’t enough lead data initially. As your organization accumulates sufficient lead data, Einstein shifts to a personalized model for better results. Einstein models are refreshed every 10 days or whenever admins update Lead Scoring configurations. Lead scores are updated at least every six hours for real-time predictions. Factors That Contribute to Scores: Einstein displays the lead’s field values with the most significant positive and negative effects on its score. These fields, known as top positives and top negatives, offer insights into why leads are likely to convert or not. However, in some cases, a lead’s score may be influenced by multiple fields with slight effects, and in such instances, top positives or top negatives may not be displayed. When Scores Don’t Appear: Several reasons may lead to a score not appearing on a particular lead: When Scores Don’t Change: Scores may not change on some leads for reasons such as: In medium to large enterprises, Sales agents manage numerous leads from various channels, and sorting through them can be overwhelming. Lead Scoring, assigning a score to a lead based on its ranking among prospects, provides a valuable indicator for Sales teams looking to focus on promising leads. Lead Scoring Definition: Lead Scoring is a score assigned to a lead, ranking it in relation to others, indicating the likelihood of conversion. In the vast sea of leads, a higher lead score serves as a handy indicator, helping Sales teams prioritize their attention effectively. While Lead Scoring has been a longstanding practice, the challenge lies in creating a consistent and effective lead scoring model. Without a reliable framework, ranking leads becomes arbitrary, leading to issues such as unknown or undocumented conversion patterns, models based on incorrect assumptions, or reliance on stale or non-relevant data. Sales Cloud Einstein addresses these challenges with Einstein Lead Scoring, utilizing machine learning and data science to discover patterns in lead conversion history. The tool autonomously selects the best predictive model for each customer, eliminating the need for statistical or mathematical expertise. Monthly model updates ensure ongoing accuracy, and leads receive scores hourly, providing businesses with the latest and most precise predictions. Einstein Lead Scoring, a key capability of Sales Cloud Einstein, revolutionizes lead conversion for sales reps. It automates the analysis of historical sales data, identifying top factors determining lead conversion likelihood. Sales reps can segment and prioritize leads, gaining insights into the factors influencing conversion probabilities, displayed prominently on each lead record. Einstein Lead Scoring acts as a personal data scientist for each sales representative, enhancing connection and conversion rates. Tectonic, as your Salesforce implementation success partner, can tailor Salesforce solutions aligned with your business needs, leveraging the power of tools like Einstein Lead Scoring. Based in Colorado, Tectonic is a Salesforce Consulting Partner, boasting a skilled team of certified Consultants, Developers, Analysts, and Project Managers. Contact us today to explore innovative Salesforce solutions for your business. Like1 Related Posts Salesforce OEM

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Einstein GPT and AI-Powered CRM

Einstein GPT and AI-Powered CRM

As many of you are already aware, ChatGPT has become a prominent term in AI chatbot systems. It leverages predictive computing to respond to user questions and queries, spanning from recipes for favorite dishes to new song lyrics or even code writing assistance. It’s quite thrilling, isn’t it? Einstein GPT and AI-Powered CRM bring forth the world’s first generative AI tool for customer relationship management. In this insight, we’ll introduce you to Einstein GPT, a fusion of proprietary Einstein AI models with ChatGPT or other leading large language models. We’ll dig into its applications across sales, service, marketing, and development. Firstly, GPT stands for Generative Pre-Trained Transformer, an AI framework that generates text from datasets and offers human-like responses to user queries. Einstein GPT and AI-Powered CRM. Einstein GPT marks the world’s inaugural implementation of generative AI CRM technology, delivering AI-generated content across sales, service, marketing, commerce, and IT interactions, at scale. Although currently in a closed pilot phase, it’s set to transition to the BETA phase soon. Now, let’s explore how Einstein GPT can assist sales representatives in composing emails. How Einstein GPT Can Enhance Sales?Imagine you’re an Account Executive (AE) charged with engaging the prospect account, Escape LTD. You can kickstart by asking Einstein Assistant to provide an overview of the account, including recent news. It furnishes details instantly, eliminating the need for manual research (Time saver#1). Based on the information provided, it appears they are expanding operations to the US. You can delve deeper by exploring top contacts for the US expansion initiative. Mara Williams, the VP of sales, emerges as a key contact. Einstein has already identified the corresponding contact record for you (Time saver#2) and conveniently offers a “Compose Email” button to draft a personalized email to Mara instantly. Clicking on it generates a tailored email for you, ready to be copied into the email composer (Time saver#3). If you prefer a less formal tone, you can request Einstein to adjust accordingly (Time saver#4). You can also instruct Einstein to create a private Slack channel for real-time communication with Mara. Notably, it not only generates the link but also includes it in the email (Time saver#5). Once satisfied with the email, simply hit “Send,” and it’s on its way. We’ve added “Time saver#” just for fun, but truthfully, these are genuine time savers that you’ll appreciate when using Einstein GPT. As we know, an AE’s time is better spent interacting with customers than on email composition, meeting scheduling, or CRM data entry. As demonstrated above, composing emails is a breeze, showcasing how Einstein GPT streamlines sales processes. There’s much more Einstein GPT can do for Sales: Retrieve information on top contacts.Integrate sign-up forms.Extract insights about new accounts.Generate leads, and much more. As mentioned earlier, Einstein GPT extends its benefits to Service, Marketing, and Developers too: Einstein GPT for Service: Generate knowledge articles from past case notes, and auto-generate personalized agent chat replies for enhanced customer satisfaction. Einstein GPT for Marketing: Dynamically generate personalized content to engage customers across various channels. Einstein GPT for Developers: Boost developer productivity by generating code and addressing queries in languages like Apex. Pretty cool, right? We’re equally excited at Tectonic to witness Einstein GPT’s general availability. If you’re eager to learn more or need additional information about Einstein GPT, feel free to reach out— Tectonic is here to assist. 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 chatter app

Chatter Feed Tracking in Public Sector Solutions

Understanding Chatter Feed Tracking Chatter Feed Tracking in public sector solutions is a robust feature designed to detect changes to specific record fields and broadcast them as updates in the What I Follow feed. Users following a record witness these updates in their What I Follow view, with the exception of updates made by users themselves, which are visible in their profile feeds. Benefits of Chatter Feed Tracking Activation Enabling Chatter Feed Tracking introduces powerful collaboration and information-sharing capabilities. Users gain the ability to follow updates to objects (records), enhancing their engagement with accounts, opportunities, and cases. This feature facilitates seamless collaboration and document sharing directly on the objects. Chatter Feed Tracking in Public Sector Solutions Activate Chatter Feed Tracking to foster collaboration and keep users and constituents informed about applications, pending tasks, and workflow processes. This feature enables users to follow record updates in a dedicated feed on the record page. For instance, enabling feed tracking on objects such as Business License Application, Individual Application, and Regulatory Code Violation allows application reviewers to effortlessly monitor updates to license and permit applications, as well as violations discovered during inspections. Constituents can utilize the Chatter feed on public portals to seek additional information from reviewers or compliance officers. Enabling Chatter Feed Tracking – Public Sector Solutions Required Editions and User Permissions Available in: Enterprise, Performance, Unlimited, and Developer Editions with Public Sector Solutions User Permissions Needed To view the feed tracking Setup page: Customizing Feed Tracking for Objects Customize feed tracking for specific objects by following these steps: Chatter Feed vs. Chatter Publisher Chatter Feeds in Lightning Experience offer more formatting options and attachment capabilities compared to Chatter Publisher. The Chatter publisher provides enhanced controls for styling and content addition, including features like inline images, hyperlinks, links to records, and code snippets. Chatter Feed Tracking in Public Sector Solutions Capabilities Key features of Chatter include: 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 and Google Calendar

8 Must-Have Google Calendar Integrations for Workflows

Google Calendar Integrations for Workflows Increase Your Sales Reps’ Productivity Your sales reps use Gmail and Google Calendar. And they use Salesforce. Isn’t it time reps use those applications together? According to McKinsey & Company, sales reps spend up to 28% of their day in email and calendars. That’s the case with sales reps Erin Donaghue and Lance Park, who work at an emerging solar company, Ursa Major Solar. It’s important for them to bring Salesforce data to the place where they spend so much of their time. When you integrate Gmail and Google Calendar with Salesforce, you help your reps spend less time entering data and switching between applications. You also help sales teams track important email conversations relevant to Salesforce records. These perks help your reps: Setting up the Gmail integration and Einstein Activity Capture isn’t difficult, but it does require some time. And if you don’t administer the Google account for your company, you can get that admin to work with you. Let’s review the productivity features that reps can use in their email when you add Inbox to the Gmail integration. The Things Reps Do With Inbox Features, Reps Can Schedule meetings with customers and prospects, often going back and forth trying to get something scheduled. Insert open time slots from their calendar directly in an email message. Recipients select which time works best for them, and the integration schedules the meeting. The suggested times update as a rep’s availability changes, even after they receive the email. Wonder whether the email reps sent was ever opened, or whether it’s too soon to follow up. See when customers open an email and whether they clicked any links inserted in the email. Reps know with certainty when their customers engaged with what they sent. Type the same phrases again and again when promoting your company’s products and services. Create shortcuts for the phrases they use most and easily add them to the body of their email messages. Reps say goodbye to potentially embarrassing typos and hello to saving time! Engage with customers and prospects at the best time. Draft an email message and send it when the customer is most likely online. Because timing is everything, reps can schedule when their customers receive the email, so that it makes the greatest impact for a potential sale. Like1 Related Posts 50 Advantages of Salesforce Sales Cloud According to the Salesforce 2017 State of Service report, 85% of executives with service oversight identify customer service as a Read more Marketing Cloud Account Engagement and Salesforce Campaigns The interplay between Account Engagement and Salesforce Campaigns often sparks confusion and frustration among users. In this insight, we’ll demystify Read more Mapping Your Customer Journey Creating a customer journey map is a crucial undertaking for businesses aiming to improve the customer experience and foster long-term Read more Marketing Automation Marketing automation is software tool that handles routine marketing tasks without the need for human action. Common marketing automation workflows Read more

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Salesforce Big Data and Travel and Hospitality

Utilizing Generative AI

Taking advantage of generative AI requires complete, unified, and accurate data, according to over half of IT leaders. Yet roadblocks remain. A recent survey found most IT leaders don’t have a unified data strategy and can’t integrate generative AI into their current tech stack. Technical requirements aside, generative AI also surfaces serious ethical considerations. Utilizing Generative AI. Nearly three-quarters of IT leaders are wary of biased or inaccurate results, yet fewer than a third consider ethical use guidelines critical. As an IT practitioner, it’s your job to understand the tech landscape and educate your organization about the power and risks of certain technology solutions, regardless of their application. Generative AI is no different. At this stage, you should be thinking about generative AI from a board-level perspective, looking beyond the near term and well into the future. What are all the risks and rewards? What are the ways your organization might win or lose? How will your people react or respond? How might generative AI make your organization more competitive and effective? Don’t assume anyone within your organization is thinking strategically about how or where generative AI should be applied. Developing a proprietary generative AI solution will take months to deliver (if not longer), but if done correctly, the resulting model would be highly secure and likely very impactful for your specific organization. Most organizations will lean toward buying or leasing a base model and fine-tuning as needed. This approach would still consume time and resources but be optimized for use cases and maintain a level of security. Generative AI focuses on creating new and original content, chat responses, designs, synthetic data or even images. It’s particularly valuable in creative fields and for novel problem-solving, as it can autonomously generate many types of new outputs. How can we use generative AI? Generative AI models can create graphs that show new chemical compounds and molecules that aid in drug discovery, create realistic images for virtual or augmented reality, produce 3D models for video games, design logos, enhance or edit existing images, and more. Which tasks uses generative AI? Generative AI or generative artificial intelligence refers to the use of AI to create new content, like text, images, music, audio, and videos. Generative AI is powered by foundation models (large AI models) that can multi-task and perform out-of-the-box tasks, including summarization, Q&A, classification, and more. Like1 Related Posts Guide to Creating a Working Sales Plan Creating a sales plan is a pivotal step in reaching your revenue objectives. To ensure its longevity and adaptability to Read more Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more

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Web-to-Case

Web-to-Case

What is Web-to-Case in Salesforce? Salesforce Web-to-Case (WTC) is a feature that allows organizations to capture cases directly from their website. This process involves generating a WTC form, which can be integrated into the company’s website. Customers can use this form to create a case in Salesforce.com effortlessly. Enabling and Customizing Web-to-Case With Web-to-Case, you can gather customer support requests from your website and automatically generate new cases in Salesforce. Here’s how to set it up: Steps to Set Up WTC Additional Customization Options WTC Limitations Custom Server Concept for Web-to-Case WTC allows automatic capture of support requests from your website, turning them into cases using a simple, customizable form. This form can be styled and embedded on a public case submission page, making it easy for customers to submit support requests. Difference Between Web-to-Lead and Web-to-Case Changing a WTC Form in Salesforce To modify a WTC form: Why Use WTL in Salesforce? Web-to-Lead captures prospects who provide contact information, aiding in lead generation and allowing redirection to other internet pages critical to campaign success. 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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