Einstein Insights - gettectonic.com
Sales Cloud Unlimited Plus Edition Call-out Features

Sales Cloud Unlimited Plus Edition Call-out Features

Sales Cloud Unlimited Plus Edition Call-out Features Sales Inspection Pipeline Pipeline Inspection gives sales teams a consolidated view of pipeline metrics, opportunities, week-to-week changes, AI-driven insights, close date predictions, and activity information. With this intelligence, sales teams can focus on the most important opportunities and forecast revenue more accurately. Einstein Converstion Insights Give sales teams insights about their customer calls and surface coachable moments. Managers and reps can play recordings of conversations to gain visibility into mentions of competitors, products, custom keywords, pricing discussions, and next steps. Sales leaders can extract conversation trends and visualize insights related to voice and video calls. Einstein Relationship Insights Explore interconnected relationships between people and companies on the web. Einstein Relationship Insights helps discover critical relationships by exploring disparate data sources, from unstructured web pages, and structured information like Salesforce records. Use these insights to prioritize contacts and accounts, enrich leads, and accelerate productivity of your sales team. With evidence documents that explain the relationship, sales teams can target the right people and companies, source more opportunities, and close deals. 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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Predictive Lead Scoring

Predictive Lead Scoring

Traditional lead scoring relies on predefined criteria and subjective assumptions, whereas predictive lead scoring (PLS) harnesses machine learning algorithms to analyze extensive data and identify key predictors of lead quality.  Traditional lead scoring only learns from data if you revise your scoring methodology for it.  Predictive lead scoring constantly reworks the machine learning model based on more and newer data. Traditional lead scoring can be impacted by human error and bias. PLS analyzes from historical data eliminating bias and error. PLS employs a machine learning model to assign scores to open leads based on historical data, enabling sales teams to prioritize effectively and improve lead qualification rates while reducing the time spent on lead qualification. Discover how AI can elevate PLS to new heights and transform various organizational functions amidst shrinking budgets and heightened performance expectations across sales and marketing teams. Key Benefits of Predictive Lead Scoring: PLS leverages data science and machine learning to analyze and predict future outcomes based on historical and current data, guiding businesses in identifying high-potential leads and optimizing resource allocation. Implementing Predictive Lead Scoring: AI CRM and PLS: AI-enabled CRM platforms like Salesforce’s Einstein Lead Scoring automate lead scoring processes, leveraging extensive data to predict lead quality and prioritize effectively for sales and marketing teams. Benefits of Predictive Lead Scoring: AI and Machine Learning in Lead Scoring: AI and machine learning enhance lead scoring by analyzing vast data sets, identifying patterns, and predicting behaviors for more accurate lead qualification and prioritization.  A data-driven enterprise is a smarter enterprise acting on data and insights. Salesforce’s Intelligent Lead Scoring: Salesforce’s Einstein Lead Scoring automates lead scoring processes within Sales Cloud and Marketing Cloud, providing tailored metrics and insights for informed decision-making. Generative AI and Predictive Lead Scoring: Generative AI streamlines processes like email personalization and content creation, enhancing marketing effectiveness and productivity. Good PLS with AI and machine learning transforms lead management by leveraging data insights for efficient and accurate lead qualification, ultimately driving improved sales and marketing performance. 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 Einstein

Use AI to Prep for Meetings

Sales is fundamentally a relationship-oriented endeavor, where representatives invest substantial time delving into lead interests, needs, and behaviors to fortify connections. What if you could Using AI to prep for meetings? Imagine a tool that assumes this responsibility, endowing you with the ability to swiftly acquaint yourself with pertinent information. Here’s what AI can accomplish: it undertakes the arduous research, analyzing both public and CRM data to succinctly encapsulate vital prospect details essential for pre-meeting preparation. If you have specific queries, just pose a question, and AI promptly provides a powered response. Consider this scenario: A sales representative steps in for a colleague on leave, aiming to catch up on major accounts. They leverage Einstein in Sales Cloud, filtering deals with a revenue exceeding $100,000. Many of these deals boast extensive historical data, a formidable amount to sift through. Einstein streamlines the process by presenting deal summaries encompassing crucial information such as involved parties, recent activities, potential risks, and recommended next steps. How to use AI to prep for meetings Einstein goes a step further, flagging an email from a customer with pricing queries awaiting a response. The rep seeks guidance: “What key information should I know about this customer before addressing the email?” Einstein synthesizes the deal in plain language, offering key account details and insights from past meetings to seamlessly resume the conversation. In other words, Einstein answers the reps question – in seconds. Sales Summaries for Sales Cloud becomes the go-to solution for instant meeting preparation, enabling sellers to navigate meetings with agility. Elevate your selling velocity with integrated AI directly in your CRM. Provide each seller with an AI assistant to turbocharge sales across the cycle, automating tasks, expediting decisions, and steering sellers towards swift closures. Einstein 1 allows effortless customization and integration of AI into various workspaces. Here are some key functionalities: 1. Call Summaries & Exploration: Bid farewell to tedious note-flipping. Ask Einstein to synthesize critical call information swiftly, generating concise summaries or identifying pivotal takeaways and customer sentiment from sales calls. 2. Prospect and Account Research: Streamline research on prospects and accounts. Summarize CRM records to gauge deal viability, competitor involvement, and more. Fetch real-time data updates from the news, and direct Einstein to update lead or opportunity records effortlessly. 3. Call Insights: Identify crucial moments from sales conversations. Instantly recognize objections, pricing attitudes, and questions asked without sifting through entire calls. Accelerate deal progression with conversation insights related to opportunities. 4. Relationship Graphs: Discern relationship networks effortlessly. Grasp prospect and customer networks for each deal, with automatic population of contacts and relevant details to fortify relationships with decision-makers. 5. Relationship Insights: Unearth new relationship insights with support from external data. Gain vital context from diverse sources across the web, seamlessly integrated into your CRM, and automatically update existing records with newfound information. Generative AI for Sales: Generative AI employs straightforward prompts to craft copy (e.g., prospecting emails) and provide recommendations (e.g., suggestions for quick-win deals). It analyzes existing sales and customer data to assist in drafting emails and determining messages or resources that would propel a sales conversation forward. Integration into a CRM, the hub of sales and customer data, is the likely destination for these capabilities. And while we’re at it – Real-Time Improvement of Sales Presentations: Crafting compelling presentations demands significant time and effort. Generative AI, activated through text-based prompts in presentation tools, facilitates the creation of customized decks and pitches within minutes. Early versions of real-time coaching are emerging, where AI-based guidance, embedded in video conferencing tools, evaluates live presentations to ensure they address the prospect’s pain points effectively. This advanced system, triggered by specific keywords, can recommend prospect-specific information, transforming your presentation into a tailored and impactful experience. Like Related Posts 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 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 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 Sales Cloud Einstein Forecasting Salesforce, the global leader in CRM, recently unveiled the next generation of Sales Cloud Einstein, Sales Cloud Einstein Forecasting, incorporating Read more

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add-ons for public sector solutions salesforce

Add-Ons for Salesforce Public Sector

Enhance your Public Sector Solutions implementation by incorporating add-ons. For instance, consider obtaining an add-on license for CRM Analytics, featuring prebuilt dashboards with predictive analytics to enhance constituent service. Alternatively, opt for an add-on license for Intelligent Document Reader, utilizing optical character recognition to extract data from paper-based forms and supplementary documents directly into Salesforce records. Further, explore add-on licenses for Einstein Relationship Insights, additional calls for the Business Rules Engine, or extra business and individual application forms.

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Sales Cloud Einstein

How Einstein Lead Scoring Works on Your Prospect Data

How Einstein Lead Scoring Works on Your Prospect Data By Shannan Hearne, Tectonic Marketing Consultant The love hate relationship between sales and marketing is based on lead quality.  Each party is tempted to blame the other for deals that fail to close.  Either marketing thinks the sales team dropped the ball following up with the prospect. Or the sales team thinks marketing failed to properly qualify the lead.  With Einstein Lead Scoring, the relationship between sales and marketing can improve. Not every lead holds the same significance, and relying on arbitrary details for accurate scoring is ineffective. Clicks, opens, and form fills vary in value for each lead, and visiting the Careers page does not necessarily diminish a lead’s potential.  Humans from both sales and marketing have to work together to craft scoring criteria that reflects behavior that great customers took before becoming customers.  The development of the scoring model is key to making Einstein Lead Scoring Works on Your Prospect Data. Einstein Lead Scoring, integrated with Sales Cloud Einstein, leverages artificial intelligence to enhance sales conversion efficiency. By automatically analyzing historical sales data and identifying key factors influencing lead conversion, sales reps can effectively segment and prioritize leads. With data supplied by Einstein running lead scoring in the background.  While the human factor is important, the speed of artificial intelligence to analyze data cannot be beaten. Tailored to individual business needs, Einstein Lead Scoring models analyze both standard and custom fields associated with the Lead object. By using predictive models like Logistic Regression, Random Forests, and Naive Bayes (definitions below). The system autonomously selects the best model based on a sample dataset, eliminating the need for statistical or mathematical expertise.  No more pouring through hours of spreadsheets sorting and creating pivot tables. Model Updates Regular model updates ensure accuracy. With leads being scored every hour using the latest model. This allows quick response to changes, ensuring that the prioritization of leads remains effective. The scoring factors are prominently displayed on the lead record page. Thus enabling sales reps to prepare for calls or emails efficiently with accurate engagement data. The true strength of Einstein Lead Scoring lies in its machine learning capabilities. Einstein is continuously refining predictions based on the latest Salesforce data. If new patterns emerge, such as VP titles in a specific industry showing interest in demos, Einstein automatically rescores leads meeting this criteria. Key benefits of Einstein Lead Scoring include increased connection and conversion rates, accelerated engagement with top leads, and a clear understanding of lead scoring factors. Important features encompass zero setup requirements, custom lead score-driven workflows for task assignments, and smart lead lists that prioritize the best leads for reps. Einstein Lead Scoring Works on Your Prospect Data For businesses utilizing or considering Salesforce Sales Cloud, consulting with Tectonic about integrating Einstein Lead Scoring can lead to faster implementation and deal closures. As your Salesforce implementation partner, Tectonic ensures a tailored Salesforce solution. Remaining aligned with your business needs, incorporating the powerful capabilities of Einstein tools within your Salesforce ecosystem.  Contact Tectonic today. Logistic regression estimates the probability of an event occurring, such as voted or didn’t vote, based on a given dataset of independent variables. Random forest is a commonly-used machine learning algorithm trademarked by Leo Breiman and Adele Cutler. It combines the output of multiple decision trees to reach a single result. Its ease of use and flexibility have fueled its adoption, as it handles both classification and regression problems. The Naïve Bayes classifier is a supervised machine learning algorithm, which is used for classification tasks, like text classification. It is also part of a family of generative learning algorithms, meaning that it seeks to model the distribution of inputs of a given class or category. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce AI

Salesforce Einstein and Social Studio

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

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Salesforce Einstein

Customize Forecast Insights

Tailor your forecasts page to align with your specific business requirements by leveraging Lightning App Builder. Craft bespoke forecasts pages that integrate all necessary information crucial for your sales leaders to generate precise forecasts tailored to your unique business demands. Construct pages comprising both standard and custom components meticulously tailored to complement your distinct sales processes. Customize Forecast Insights in Salesforce. For precise forecasting based on the Opportunity, Opportunity Product, or Line Item Schedule objects, utilize a custom number field as a measure. The forecasts grid provides insights into forecasts for individual months or quarters and offers flexibility in defining the range of months or quarters, catering to your preferences. While a default one-month forecast period is established, it can be adjusted as needed to suit your requirements. Forecast categories categorize opportunities within the sales cycle based on their respective opportunity stages. Standard forecast categories such as Pipeline, Best Case, Commit, Omitted (excluded from forecasts), and Closed are available. Salesforce administrators can further enhance forecasting capabilities by introducing a Most Likely category in Lightning Experience and renaming categories for both single category rollups and cumulative category rollup scenarios. Customize Forecast Insights to see the information most important. Different users can have different views. To modify forecast categories in Salesforce: Customize the presentation of standard and custom forecast columns on the forecasts page, allowing for tailored visualization. For instance, arrange a custom Most Likely column to be positioned alongside the Open Pipeline column. For adjusting forecasts in Salesforce: Like 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 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 Integration of Salesforce Sales Cloud to Google Analytics 360 Announced In November 2017, Google unveiled a groundbreaking partnership with Salesforce, outlining their commitment to develop innovative integrations between Google Analytics Read more

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Salesforce Einstein and Einstein Automate

Einstein Lead Scoring is Based on:

Understanding What Lead scoring looks at explains how Einstein gives each lead a score based on how well the lead matches the company’s conversion patterns. Einstein Scoring Model considers: Einstein Lead Scoring uses data science and machine learning to discover the patterns in your business’ lead conversion history, and to predict which current leads to prioritize. By using machine learning, Einstein Lead Scoring provides a simpler, faster, and more accurate solution than traditional rules-based lead scoring approaches. The Scoring Model Einstein analyzes your past converted leads, including custom fields and activity data, to determine your conversion patterns. It then identifies which of your current leads have the most in common with your prior converted leads. Based on this analysis, Einstein builds one or more scoring models for your organization. During setup, Salesforce admins can choose to score all of your leads together, or group leads into segments based on field criteria. Einstein builds a separate scoring model for each lead segment. For each lead segment, admins can also choose to omit certain lead fields. When Einstein builds your scoring model, the omitted fields are ignored. When you score all leads together without creating segments, and you don’t have enough lead conversion data to build your own predictive model, Einstein uses a global model. The global model uses anonymous data from many Salesforce customers. When you accumulate enough lead data, Einstein builds a scoring model with your data and uses the model with the better results. Einstein models are refreshed every 10 days, or whenever the admin updates how Lead Scoring is configured. Lead scores are updated at least every six hours as needed. Factors That Contribute to Scores With each lead score, Einstein displays the lead’s field values that have the most significant positive and negative effects on its score. These fields are the lead’s top positives and top negatives. Sometimes, a lead’s score is due to a combination of several fields with only slight positive or negative effects, rather than a few very positive or very negative fields. In this case, Einstein doesn’t display top positives or top negatives for the lead. Like Related Posts 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 Public Sector Salesforce Solutions Public Sector Solutions revolutionize public service delivery through flexible and secure e-government tools supporting both service providers and constituents. Designing Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more Salesforce AI Einstein Next Best Action Salesforce AI Einstein Next Best Action is a feature designed to identify the most effective actions available to agents and Read more

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Marketing Cloud Lead Scoring

Marketing Cloud Lead Scoring

The acquisition of Exacttarget, now known as Salesforce Marketing Cloud, in 2012 caused a stir in the industry. It wasn’t due to Salesforce’s reputation for acquiring top martech products and teams, but rather because Salesforce had predominantly focused on B2B2B, while Exacttarget was firmly established in the B2C realm. Nonetheless, the acquisition also brought in Pardot, one of the leading marketing automation platforms for B2B marketing at that time. So, why did Salesforce make this move? They recognized that B2C-style marketing was on the verge of becoming the norm in B2B environments. This approach emphasizes storytelling and creating experiences over simple transactions. Salesforce Marketing Cloud enriches email journeys with SMS, advertising, social engagement, and more. Today, it ranks among the top three choices for enterprises, counting clients like Adidas and American Express among its roster. However, like any product, Marketing Cloud has its acknowledged limitations, especially when competing with Marketo, Eloqua, or Hubspot in fiercely contested deals. One significant challenge for B2B marketers is Marketing Cloud’s lead scoring and website tracking functionalities—critical tools for achieving superior sales and marketing alignment and executing client-driven, behavioral marketing campaigns. Lead scoring is a tactic used in marketing and sales to prioritize potential customers (leads) based on their likelihood to convert into paying customers. The aim is to focus the sales team’s efforts on leads most likely to convert, thereby enhancing the efficiency of the sales process and maximizing revenue. Lead scoring involves assigning a numerical value or score to each lead based on various factors and behaviors indicating their level of interest and engagement with your products or services. These factors include demographics, behavioral data, engagement metrics, lead source, intent, scoring models, explicit data, and negative signals. Once leads are scored, they can be categorized into different segments or tiers, such as “Hot,” “Warm,” and “Cold,” or Marketing Qualified or Sales Qualified, allowing sales teams to prioritize their efforts accordingly. Lead scoring facilitates more effective collaboration between marketing and sales teams, leading to improved conversion rates and overall revenue generation. The significance of lead scoring cannot be overstated. According to Marketing Sherpa, 61% of B2B marketers send any lead directly to sales without a lead qualification strategy, while sales reps ignore 70% of all leads from marketing, leading to significant inefficiencies and considered a top-three time-waster for sales teams. To address this issue and achieve sales and marketing alignment, businesses can take several steps, including defining their Ideal Customer Profile (ICP or Persona), tailoring communication and content to attract the right leads, collecting necessary data to qualify leads effectively, and identifying which leads match their profile and are ready to be handed over to the sales team. Analyze the steps in your customer jouneys by ICP or Persona and assign a score to the possible disposition of each step. While a bit stressful this is a great exercise in measuring historical data to see what really moves the needle in your sales cycles. While some steps are within a company’s control, others require technological support. One key tool for this is lead activity tracking, which collects data on lead engagement. Additionally, a lead scoring mechanism is needed to quantify lead interest and fit objectively. Unfortunately, Salesforce Marketing Cloud doesn’t offer satisfactory native functionality for activity tracking and lead scoring. However, there are several options to successfully track lead scoring within Salesforce, such as SalesWings, Marketing Cloud Connect and Process Automation, Marketing Cloud Journey Builder, and Marketing Cloud Personalization Builder and Predictive Intelligence, among others. Each option offers unique features and advantages, enabling businesses to tailor their lead scoring strategies to their specific needs and objectives. While Salesforce Marketing Cloud may lack native lead scoring capabilities, there are powerful ways to drive sales and marketing interactions effectively. The key is to base decisions on core marketing automation features and keep the goal of lead scoring in mind to align sales and marketing teams and personalize the customer experience based on intent. When a visitor goes to your website with the tracking code installed, a cookie is dropped with a unique ID and session ID. The cookie adds an ID to all Collect calls. The cookie tracks the user until it’s removed or cleared. The Collect Tracking Code pixel identifies itself as an invisible image, and it doesn’t affect the user experience of website visitors who use a screen reader. Configurations vary by product and use case. Collect Tracking Code monitors the variables and events that you select at the contact level. Considerations Salesforce Marketing Cloud may lack native lead scoring capabilities, there are powerful ways to drive sales and marketing interactions effectively. Base your decision on core marketing automation features and keep the goal of lead scoring in mind to align your sales and marketing teams and personalize the customer experience based on intent. All solution product descriptions are provided by their respective owners. Content updated May 2024. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce Einstein and Einstein Automate

Lead Conversion at the Speed of Einstein

The primary challenges faced by businesses today revolve around lead generation and conversion. Lead conversion with Einstein is fast. Tectonic proudly offers comprehensive solutions for both challenges through the implementation and customization of Salesforce Einstein Lead Scoring. Salesforce Einstein Lead Scoring, a pivotal feature within Sales Cloud Einstein, leverages artificial intelligence to empower sales representatives in converting leads more efficiently. By analyzing historical sales data, Einstein Lead Scoring determines the likelihood of a lead converting into an opportunity. This predictive intelligence enables sales teams to segment and prioritize leads for faster conversion. Tectonic and Lead Conversion with Einstein Let Tectonic’s’ customization and implementation services ensure that your company maximizes the value derived from Sales Cloud Einstein, setting your sales representatives up for success. The factors influencing lead conversion, as predicted by Einstein Lead Scoring, are conveniently displayed on each lead record in Salesforce, aiding sales reps in quick preparation for calls and interactions. Lead Conversion with Einstein Einstein Lead Scoring models are uniquely built for each customer and organization, analyzing standard and custom fields through various predictive models. The machine learning behind Einstein continuously improves accuracy by updating models monthly. This ensures that leads are scored every hour using the latest model, promptly adapting to any changes in lead data. Truly, the power of Einstein Lead Scoring lies in its ability to discover insights, predict lead conversion likelihood, and provide automatic insights into the newly determined score. Studies indicate that AI-powered companies spend less time prospecting and more time actively growing revenue. Einstein Lead Scoring allows your company to focus more on selling and less on prospecting, leading to faster lead conversion and shorter sales cycles. Tectonic assists in automating sales and marketing processes, integrating the capabilities of Einstein Lead Scoring into your business. With zero setup requirements, custom lead score-driven workflows, and smart lead lists. Einstein Lead Scoring ensures that your sales teams work smarter and faster. The Lead Score Your Lead Score field added by Einstein Lead Scoring in your Salesforce org lets sales and marketing teams prioritize leads. This is based on similarities to prior converted leads. Through data science and machine learning, Einstein Lead Scoring offers a faster and more accurate solution. When compared to traditional rules-based lead scoring. Your Salesforce admin, or Tectonic’s Salesforce team, can set up Einstein Lead Scoring to score all leads together. Or group them into segments based on field criteria. The dashboard provides key lead score metrics. By offering insights into average lead score by lead source, conversion rate by lead score, and lead score distribution across converted and lost opportunities. Sales Cloud Einstein Sales Cloud Einstein, with Einstein Lead Scoring, is a ready-to-use set of tools that learn from Salesforce CRM data and activities, continuously enhancing its predictions. Because Sales Cloud Einstein includes additional features such as Salesforce Inbox and Einstein Activity Capture. Einstein Opportunity Insights offers smart reminders or tasks for nurturing customer relationships. Einstein Lead Scoring helps prioritize leads for conversion. Incorporating Sales Cloud Einstein and Einstein Lead Scoring into your sales and marketing strategy can yield a great return. Your Salesforce investment will fill your opportunity pipeline. Contact Tectonic for a free consultation to explore how Sales Cloud Einstein can accelerate lead conversion for your business. 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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Einstein Opportunity Scoring Boosts Sales

Einstein Opportunity Scoring Boosts Sales

Your business thrives on seizing the right opportunities to drive more deals. Identifying these pivotal sales chances is crucial for prioritizing and capitalizing on prospects to secure successful outcomes. Enter Einstein Opportunity Scoring Boosts Sales. Enter Salesforce’s Einstein Opportunity Scoring system, designed to gauge the likelihood of an opportunity’s success, ranging from scores of 1 to 99, powered by artificial intelligence analysis. These scores offer a clear indication of each opportunity’s potential, empowering you to prioritize effectively and maximize your business’s deal closure rates. So, how does this innovative system function? In today’s digital age, Salesforce’s Einstein Opportunity Scoring leverages AI to analyze past opportunities, scrutinizing both closed-won and closed-lost instances to identify key factors influencing scores. These factors encompass various opportunity details, historical data, and product information, culminating in accurate scoring models refreshed every few hours to ensure precision. Moreover, you have the flexibility to customize your scoring model to align with specific business needs, modifying criteria by adding or removing records or custom fields. This adaptability extends further with regular scoring model updates every 10 days, reflecting the dynamic nature of the business landscape. Accessing this feature is simple—users with a Sales Cloud Einstein license can leverage Einstein Opportunity Scoring. And even if you lack this specific license or the Sales Cloud Einstein product suite, fret not, as this feature gradually rolls out to all customers, irrespective of license status. What advantages does Opportunity Scoring offer your business? Firstly, the opportunity scorecard presents a comprehensive overview of each deal, highlighting positive and negative influencing factors, aiding in focused deal analysis. Additionally, the system offers actionable suggestions for score improvement, ensuring optimal deal management. Furthermore, Opportunity Scoring aids in opportunity tracking, preventing deal slippage, and facilitating informed decision-making. Sales representatives can leverage low opportunity scores to seek guidance from sales managers, ultimately boosting deal conversion rates. To maximize the effectiveness of Einstein Opportunity Scoring, continuous improvement is key. Ensure proper opportunity segregation, timely entry of opportunities, and accurate data updates to enhance scoring accuracy and increase deal success rates. In instances where scores may not appear, reasons could range from initial feature setup time to opportunity closure or admin exclusion. Meeting specific data requirements, including closed-won and closed-lost opportunities, and regular updates, ensures robust scoring outcomes. In conclusion, harness the power of Salesforce’s Einstein Opportunity Scoring to unlock valuable insights and predictive capabilities, driving sales success and propelling your business forward. For further insights into Einstein Opportunity Scoring, explore our blogs section for comprehensive information. 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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Opportunity Scoring with Einstein

Opportunity Scoring with Einstein

Salesforce has placed significant emphasis on developing their new Artificial Intelligence engine, Einstein, in recent years. One standout feature that has garnered attention is Einstein Opportunity Scoring, which will become available for free following the Summer ’20 release. This feature is offered to all Salesforce customers. So, what exactly is Einstein Opportunity Scoring? It’s a system that leverages data science and machine learning to score sales opportunities, enabling users to prioritize their actions effectively. Here’s how it works: The advantages of opportunity scoring are manifold: So, how does Einstein Opportunity Scoring operate? To implement Einstein Opportunity Scoring, certain prerequisites must be met: Building the prediction set involves defining positive and negative examples based on various criteria such as past outcomes, opportunity progress, and account activity. Implementation entails setting up the prediction using the Einstein Prediction Builder, defining the segment, specifying prediction outcomes, and selecting relevant fields. After deployment, users can monitor the prediction set status and review the predictions to ensure they align with business objectives. Over time, real-life data can be analyzed to assess the accuracy and effectiveness of the predictions. To enhance opportunity scores, users are advised to maintain accurate data, progress opportunities through stages promptly, and ensure completeness of opportunity records. Access to Einstein Opportunity Scoring is included in the Sales Cloud Einstein product suite at no additional cost, accessible through the Sales Cloud Einstein For Everyone permission set. By leveraging Einstein Opportunity Scoring, Salesforce customers can optimize their sales processes, improve efficiency, and make more informed decisions to drive business success. 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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Einstein Relationship Insights

Einstein Relationship Insights

Setting Up Einstein Relationship Insights: Configure ERI Insights to empower your sales team in managing relationships among individuals, companies, and their interactions. Follow these steps for enabling and configuring: Enabling Einstein Relationship Insights: To enable ERI, follow these steps: Understanding Einstein Relationship Insights (ERI): ERI, serves as an AI-powered research assistant, enhancing sales processes. ERI operates as a desktop plugin with a browser extension, exploring diverse data sources to provide relevant insights for expediting deal closures. Key Features of ERI: Salesforce Einstein Relationship Insights Implementation: Sales representatives benefit from ERI’s relationship intelligence, providing: Accelerating Sales with ERI: Supercharge Sales with Intelligent Relationship Management: Salesforce ERI improves customer understanding. AI-driven relationship management aids in forming deeper connections. Salesforce offers various tools and capabilities to enhance sales productivity. Salesforce introduced Einstein Relationship Insights, a new AI-powered research agent that autonomously explores the internet and internal data sources to discover relationships between customers, prospects, and companies, assisting sales reps in closing deals faster. Einstein Relationship Insights functions as a virtual assistant, scanning the web, social media, collaboration apps, email, and other online sources to uncover and recommend related people and companies. Why it matters: Einstein Relationship Insights showcases how AI collaborates with, rather than replaces, salespeople to enhance deal closure and increase revenue. AI-powered tools are crucial for over-burdened reps, automating critical relationship research and network analysis around key decision-makers. For further details on how Salesforce solutions can address your business needs, consult the Tectonic team for comprehensive assistance Content updated February 2024. Like1 Related Posts 50 Advantages of Salesforce Sales Cloud According to the Salesforce 2017 State of Service report, 85% of executives with service oversight identify customer service as a Read more Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust 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 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

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