Insights - gettectonic.com

21Jun

Lead Assignment Automation for Salesforce

Automating Lead Assignment for Salesforce Platforms with Lead Assignment Automation for Salesforce Effective lead assignment within Salesforce is critical to ensure that sales-ready leads are directed to the appropriate individuals at the right moment. This process should never be overlooked. Lead assignment ensures that when a lead is marketing qualified or sales qualified it is contacted. Lead assignment plays a pivotal role in ensuring that sales-ready leads are promptly delivered to the right sales representatives, which underscores the significance of automating this process across various Salesforce platforms, from Account Engagement to Sales Cloud and Marketing Cloud to Sales Cloud. The primary goal for marketers is to assign inbound leads in the most efficient manner possible, and Salesforce’s lead assignment features empower us to achieve precisely that. With automation! Whether to queues or designated account representatives, this frees up your time to go back to marketing. If you’ve been manually assigning leads up until now, get ready for a transformative experience. Lead Assignment Automation for Salesforce And for those already leveraging automated lead assignment features in your Salesforce accounts, don’t rush to stop reading just yet. Stay tuned to ensure you’re adhering to best practices and making lead assignment (also known as lead routing) as seamless as possible with this insight from Tectonic. For this insight, we’ll assume you’re using Sales Cloud alongside Account Engagement and/or Marketing Cloud. This involves two essential components to ensure smooth lead assignment: integrating and configuring your Salesforce products to work harmoniously together and setting up Lead Assignment Rules in Salesforce. Part 1 – Configuring Your Salesforce Products Integration The initial crucial step is to establish connectivity between your platforms using the Salesforce Connector for Account Engagement or Marketing Cloud Connect, depending on your usage. Connecting Marketing Cloud Account Engagement and Sales Cloud via the Salesforce Connector is relatively straightforward, enabling the two platforms to communicate and share data seamlessly, eliminating the need for manual data imports and exports by marketers. You’ll find the Salesforce Connector on the AppExchange, and Salesforce provides an implementation guide, which includes pre-installation considerations. Tectonic can assist. Ensure you’re utilizing the V2 Connector; if you’re currently using the connector but haven’t upgraded, make that your first step. Marketing Data Sharing Upon installing the Account Engagement-Salesforce Connector, you’ll encounter ‘Marketing Data Sharing,’ which allows you to control which Leads, Contacts, Opportunities, or custom objects are eligible for syncing from Salesforce to Account Engagement. This feature is ideal for organizations with multiple Business Units and can also benefit those with a single unit. MDS offers greater control over when prospect and lead records are created, contributing to effective lead management. Understanding Sync Behaviors Once your platforms are connected, make time to fully understand how data syncs between them. You can designate either Account Engagement or Salesforce as the ‘master’ values, ensuring consistency in case of discrepancies between the platforms. Additionally, you can opt to use the ‘most recently updated record’ as the standard. This option ensures data is up to date regardless of which platform it was last updated in. For Account Engagement and Sales Cloud, prospects’ records typically sync every two to four minutes, with immediate syncing for most records. However, Account Engagement processes sync queues with over 400 records in batches. Standard batch processing syncs 12,000 records per hour. Certain activities can trigger a sync, which can occur at a prospect, trigger, or system level. We recommend reviewing a comprehensive guide to Account Engagement and Salesforce sync behaviors for newcomers to this topic or to validate your current sync settings for accuracy and error-free operations. Part 2 – Setting Up Lead Assignment Planning Lead Assignment and Criteria Assuming successful integration and syncing of accounts, you’re now poised to plan and implement lead assignment using predefined criteria. Differentiate between implicit and explicit leads based on lead scoring and grading: The perfect sales-ready or marketing qualified lead will meet both explicit and implicit criteria. Therefore, your first task is to collaboratively define and document what constitutes a qualified lead, involving both marketing and sales teams. Only after establishing a clear definition of a sales-ready lead can you proceed to map out who should receive such leads, when, and how. Consider the following: Utilize these considerations to outline more precise criteria: Document your lead assignment plan offline before implementing changes in Salesforce accounts. This aids in gaining a clear understanding of the workflow and allows for validation before modifying settings that could lead to issues later. For that matter you should always document system modifications. Creating a Lead Assignment Rule in Salesforce Navigate to the ‘Marketing’ section in Salesforce and access ‘Lead Assignment Rules.’ Here, you can create a Lead Assignment Rule; note that only one rule can be active at a time. Specify the processing order for each criterion when creating a rule, prioritizing the most important criteria first. Once criteria are entered (ensuring you have necessary data values to match the rule), select the assignment action: To assign a lead to a ‘Queue,’ first create the Queue in Salesforce’s Administration > Users > Queues section. For instance, set up Queues for each region’s sales team with relevant users as members (e.g., ‘Leads – UK’ or ‘Leads – Germany’). Once activated, all leads will be assigned based on the active rule. Consider adding a final criteria to catch all other leads and assign them to a default user or queue for review and manual assignment if needed. Triggering LARs from Account Engagement/Marketing Cloud Lead assignment complexities arise when determining how leads are assigned in Salesforce via Account Engagement or Marketing Cloud. Account Engagement In Account Engagement, formerly Pardot, prospects must have an assigned user to sync with Salesforce initially. However, an assigned user bypasses the Salesforce Lead Assignment Rule. For organizations preferring a Lead Assignment Rule in Salesforce to automate large lead volumes among multiple users, select ‘Assign Prospect Via Salesforce Active Assignment Rule’ within the Completion Actions (for forms, form handlers, custom redirects, emails, and page actions), Automation Rules, or Engagement

June 21, 2023in Einstein Insights, Salesforce, Salesforce Marketing Cloud, Salesforce Marketing Cloud Account Engagement (Pardot), Salesforce Optimization, Salesforce Sales Cloud

20Jun

Key Metrics of a Sales Pipeline

Key Metrics of a Sales Pipeline ensure you measure statistics that drive the needle to results. Initiate the optimization of your sales pipeline by incorporating vital elements that span distinct stages and pivotal metrics. Here are essential considerations: Lead Source: Determine how potential clients discover your business, whether through digital advertisements, print marketing, email campaigns, customer referrals, or alternative methods. Evaluate the effectiveness of each source in terms of conversion rates, enabling a focused approach on the most productive channels. Industry: Identify industries where your product resonates more effectively with clients. Concentrate marketing efforts on specific industries, tailoring strategies to align with their preferences and needs. Decision Makers Involved: Quantify the number of client-side contacts participating in the decision-making process. Customize strategies based on the roles of each contact, adapting approaches for CEOs, finance directors, or CTOs. Deal Size: Categorize buyers based on their willingness to invest, distinguishing between those with substantial budgets and those with more conservative ones. Tailor your presentations to accommodate the budget constraints and preferences of different segments. Probability to Close: Evaluate the likelihood of each lead transitioning into a customer. Consider factors like the sales pipeline stage, team interactions, and other criteria indicating the lead’s readiness to finalize a deal. Ensure the adaptability of your sales pipeline design, allowing for diverse analyses and inquiries. Regularly review and adjust your template to detect data anomalies, enabling the resolution of issues in your sales funnel and the maximization of opportunities to expedite your sales process. Key Metrics of a Sales Pipeline 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 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 Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

June 20, 2023in Salesforce Sales Cloud

19Jun

Writing and Sending Marketing Automation in Salesforce

Marketing automation refers to technology that efficiently manages various marketing processes and multifaceted campaigns across multiple channels. It automates the targeting of customers through messages delivered via email, web, social media, and text. These messages are sent automatically based on predefined sets of instructions known as workflows. These workflows can be template-defined, custom-built, or adjusted during a campaign for improved outcomes. Marketing automation in Salesforce is the same, only better. The primary functions of marketing automation encompass lead generation, nurturing, scoring, and measuring the overall return on investment (ROI) of campaigns. As an organization grows in size and complexity, the time- and cost-saving benefits of automation become more apparent. Robust marketing automation systems are designed to seamlessly scale alongside the evolving needs of your business. Why Marketing Automation By employing marketing automation, you can execute a digital marketing strategy without the need to manually send every email, message, campaign, or post. Efficient automation tools aid in audience identification, content design, and the automatic triggering of actions based on schedules and customer behavior. This allows you to focus on other tasks while your campaign unfolds, enabling subsequent analysis and adjustments to your marketing plan based on emerging results. An automated marketing strategy proves invaluable in saving time and resources, driving revenue and ROI, while enabling you to concentrate on business growth. Customer data is collected through various interactions, such as emails, website visits, app usage, and social media engagement. Marketing automation leverages this data to create a comprehensive 360-degree view of each customer. The system streamlines segmentation and targeting processes, enabling quick and scalable identification of the right audiences. It tailors messaging automatically based on individual customer profiles, creating relevant and personalized content across email, mobile, social media, web experiences, and more. Whether dealing with a customer base of 100 or 100 million, marketing automation efficiently delivers personalized experiences. At scale. Marketing automation plays a pivotal role in crafting relevant content and messaging across diverse channels. It goes beyond mere personalization by dynamically customizing email subject lines, integrating mobile messaging with email and social campaigns, generating targeted digital ads, and automatically recommending suitable products on websites. Marketing Automation in Salesforce This approach allows businesses to engage customers throughout their journey, irrespective of where they are in the customer lifecycle — from acquisition to advocacy. Marketing automation ensures the delivery of timely, pertinent content that aligns with customer preferences, converting prospects into lifelong brand advocates. Emphasizing ease of use, marketing automation enables the creation of campaigns with a single click and centralizes control over all aspects of the digital marketing strategy. User-friendly interfaces and drag-and-drop functionality, reminiscent of everyday apps, make the process straightforward. Moreover, marketing automation with Salesforce serves as a central hub for customer data, ensuring a consistent brand identity across all teams — seamlessly bringing together marketing, sales, and customer service to create a unified and seamless customer experience. Automation Assistance Tectonic looks forward to assisting you in implementing a marketing automation platform, such as Marketing Cloud or Account Engagement (formerly Pardot), and providing consulting services to optimize your emails for maximum impact. Contact us today. Like2 Related Posts Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more 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 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 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

June 19, 2023in Marketing Automation, Salesforce Communications Cloud, Salesforce Marketing Automation, Salesforce Marketing Cloud Advertising, Salesforce Optimization

18Jun

AI in Salesforce Service Cloud

Deliver personalized service and save time with AI built directly into your flow of service work. Utilize Salesforce’s trusted AI for customer service to create seamless conversational, predictive, and generative AI experiences for your agents and customers. Service Cloud has everything you need to scale now and drive immediate value. Salesforce launched Service Intelligence, a powerful new analytics app for Service Cloud designed to boost agent productivity, cut costs, and enhance customer satisfaction. And now you have AI in Service Cloud. Powered by Data Cloud, Salesforce’s real-time hyperscale data engine, Service Intelligence gives users access to all of their data directly within Service Cloud, eliminating the need to toggle between screens for information. Pre-built, customizable dashboards inside Service Intelligence provide a view of essential metrics like customer satisfaction and individual and team workloads. And, with Einstein Conversation Mining, service professionals can use AI to analyze customer chat and email conversations to uncover insights — like specific challenges customers face during service interactions — assess the likelihood of complaint escalation, and proactively address the issue with the customer. To add AI in Service Cloud to your instance, contact Tectonic today. Service Intelligence, a new analytics app for Service Cloud is designed to boost productivity, cut costs, and enhance customer satisfaction. AI is gaining prominence among service professionals, with an 88% increase in AI adoption from 2020 to 2022. This is no surprise, as 63% of service professionals say AI will help them serve customers faster. By embracing AI, service professionals can make informed decisions fast and enhance customer satisfaction, securing a competitive edge. Like Related Posts 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 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

June 18, 2023in Salesforce Einstein, Salesforce Manufacturing Automotive Energy, Salesforce Service Cloud

Salesforce Quip Sales Cloud Service Cloud

17Jun

Salesforce Records in Quip

Integrate your Salesforce records directly into Quip, enabling streamlined collaboration and efficient workflows. With Quip, you can customize record views, perform bulk updates, and sync changes seamlessly to Salesforce. Additionally, you can add notes and define next steps to share with your team, keeping everyone aligned. The Salesforce Record Live App in Quip connects your free-form content with Salesforce data. This integration ensures your records stay up to date and readily accessible for collaboration. To enhance team productivity, import your Salesforce records into Quip and customize them to fit your needs. Using Salesforce Template Records in Quip Template Records allow dynamic integration between Salesforce data and Quip templates. When a document is created from an embedded template, the Template Records automatically populate with relevant data and stay synced to Salesforce. Control which fields are displayed to ensure information remains relevant, fostering better adoption of tools like Account Plans. Setting Up Salesforce Template Records Key Considerations By leveraging Salesforce Template Records in Quip, you can ensure your team has real-time access to relevant data while maintaining streamlined processes for document creation and collaboration. 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

June 17, 2023in Data, Salesforce Development Services, Salesforce Optimization

16Jun

Codescan Salesforce

Codescan Salesforce by AutoRABIT is a static code analysis solution that provides visibility into code health from the first line written through final deployment into production. Reliable code analysis directly on the AutoRABIT DevSecOps platform drives Salesforce development quality, speed, and security. The quick code scan tool is free of charge at this time. Code Scanning Definition Code scanning is the process of examining code to identify bugs, errors, and security flaws. Any issues found are displayed, enabling you to address them quickly and enhance the security of your application. What is the CodeScan tool for Salesforce? CodeScan Shield is the leading end-to-end static code analysis solution for code security and quality. Lightning ready and exclusively for the Salesforce platform, CodeScan increases productivity, quality, and security for all Salesforce DevOps teams. What does static code analysis do? Static analysis is a method of debugging that is done by automatically examining the source code without having to execute the program. This provides developers with an understanding of their code base and helps ensure that it is compliant, safe, and secure. The most comprehensive code analysis tool supporting SF languages and metadata. Track and control your SF code quality with CodeScan. Robust Analysis for High-Quality Code and Intuitive Governance Total visibility over the health of your environment reduces costs and increases time to market. 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

June 16, 2023in Salesforce

15Jun

Scale Data and Analytics in the Cloud

Winning in the Data Economy In the rapidly growing data economy, enterprises are eager to gain a competitive edge. This data economy, which revolves around the global supply and demand for data and data-driven applications, continues to expand as more organizations seek critical insights to drive their success. Scale Data and Analytics in the Cloud. The value of data isn’t a new concept. Companies acquired other companies for the sole purpose of obtaining their data – customers, prospects, etc. The value of actionable data is a bit newer. Whereas we once marketed to prospects based primarily on historical data, data-driven applications let us market at the right time on the right channel with the right message. To understand what it takes to excel in the new data economy, Tableau partner Snowflake surveyed business and technology leaders. Their research highlighted the characteristics of the leaders and laggards, emphasizing the importance of a strong data strategy for achieving successful outcomes. Industries like financial services, health and life sciences, and retail are still struggling to fully benefit from the data economy, often finding it challenging to unlock the full value of their data. Here are four key actions that can help organizations win in today’s data economy and achieve tangible results: 1. Create a Strong Data Culture A robust data culture is foundational for realizing the value of data. Organizations that prioritize becoming data-driven see significant benefits: Jennifer Belissent, Principal Data Strategist at Snowflake, emphasizes how a cloud-enabled data culture accelerates time-to-value by breaking down organizational silos. Tableau offers a playbook to help organizations build, expand, and mature their data capabilities. 2. Adopt an AI-Driven, Enterprise-Ready Analytics Platform Data leaders utilize AI-driven enterprise analytics platforms like Tableau, which provide trusted predictions and insights to scale decision-making. Traditional solutions often fall short in delivering speed to insight and self-service capabilities. Tableau, particularly with Tableau Cloud, offers an easy-to-scale solution that manages and analyzes data across various sources, supporting meaningful impact and agility. Tableau Cloud’s Advanced Management capabilities enhance security, usability, and scalability. Additionally, Tableau Accelerators—over 100 ready-to-use, in-product dashboard starters—support various industries, enabling comprehensive analysis and problem-solving. 3. Migrate to the Cloud Cloud adoption is accelerating as organizations pursue data-driven digital transformations. The cloud offers flexibility, agility, scalability, reduced IT overhead, and increased resilience and performance. Key considerations for cloud migration include: Whether opting for on-premise, hybrid, or full cloud migration, Tableau connects to data wherever it resides, fueling insights across the business. Tableau’s own journey to the cloud involved evaluating criteria, enhancing collaboration, and applying new data management processes, resulting in a unified source of truth. 4. Choose the Right Partners to Scale Cloud-Native Analytics Selecting partners that facilitate cloud-native analytics is crucial. Ideal partners should offer: Snowflake and Tableau exemplify these qualities, addressing data and organizational demands. Snowflake provides extensive data storage and processing, while Tableau offers intuitive, self-service analytics. This partnership has helped enterprises like Cart.com achieve significant revenue growth by embedding Tableau analytics in Snowflake’s platform. Embrace the Data Economy with Cloud-Native Analytics Regardless of where your organization stands in the data economy, taking steps to leverage cloud-native analytics can unlock numerous opportunities. Tableau continues to invest in its platform to help organizations thrive with data in the cloud, offering expert advice, solutions, and valuable partnerships. By adopting these strategies, your organization can become a leader in the data economy and achieve remarkable results. 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

June 15, 2023in Salesforce Data Cloud, Snowflake

14Jun

Marketing GPT and Commerce GPT Announcement

Salesforce Introduces Marketing GPT and Commerce GPT to Revolutionize Personalized Campaigns and Shopping Experiences with Generative AI San Francisco — June 7, 2023 — Salesforce (NYSE: CRM), the global CRM leader, announced today at Connections its latest innovations, Marketing GPT and Commerce GPT, which combine generative AI with real-time data from Data Cloud. These groundbreaking products aim to transform how businesses engage with customers by delivering personalized experiences across every touchpoint. Significance: Generative AI is driving efficiency and productivity for businesses, with 60% of marketers acknowledging its transformative potential. However, concerns about accuracy and quality remain prevalent, highlighting the importance of trusted customer data for effective generative AI implementation. What’s new: Marketing GPT empowers marketers to create personalized, relevant experiences using generative AI and trusted first-party data from Data Cloud. With Marketing GPT and Data Cloud, marketers can: Commerce GPT enables companies to deliver customized shopping experiences throughout the buyer’s journey with auto-generated insights and recommendations based on unified real-time data from Data Cloud. With Commerce GPT and Data Cloud, brands can: Salesforce partners like DEPT®, Media.Monks, NeuraFlash, and Slalom are building a generative AI ecosystem with new accelerators, language models, and integrations to simplify Marketing GPT and Commerce GPT implementation for businesses. Soundbites: Availability: 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

June 14, 2023in Generative AI, Salesforce Einstein

13Jun

Account Engagement Optimizer

Introducing Account Engagement Optimizer: Elevating Account Engagement Performance Account Engagement, formerly Pardot, Optimizer is a powerful tool designed to deliver actionable insights for improving the performance of your Account Engagement application. This automated recommendation tool concentrates on streamlining email send times, expediting automation processing, and ensuring the optimal functionality of your application. It aids administrators by categorizing recommendations into critical and lower-priority actions, facilitating efficient management. To explore and implement Account Engagement Optimizer’s recommendations, follow these straightforward steps: For pausing or resuming actions, follow these steps: For efficient management of dynamic lists, proceed as follows: Account Engagement, aka Pardot, Optimizer provides a comprehensive view of your business units, flagging items needing attention and offering proactive recommendations for swift action. The tool includes a table featuring suggested actions, enabling prioritization based on urgency and potential impact on your organization. Features like email send time monitoring and visitor tracking contribute to an enhanced overall account health score gauge chart. Introduced as a pilot in Spring ’23, Pardot Optimizer is now available in beta. Access to this tool is limited to Pardot Administrators, while Marketing users in Pardot can request Admin privileges to leverage this feature. To access Pardot Optimizer: Enabling Optimizer is a permanent action and cannot be undone. Once enabled, the Optimizer page displays recommendations, allowing you to take necessary actions and efficiently manage critical tasks. Pardot Optimizer proves to be a valuable tool, aiding administrators in optimizing system bandwidth, improving efficiency, and ensuring a seamless processing experience. With four Maintenance Resources – Table Action Manager, Inactive Automation Rules, Inactive Dynamic Lists, and Unused Dynamic Lists – administrators can uphold their Account Engagement business unit in top-notch condition. 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

June 13, 2023in Salesforce Marketing Cloud Account Engagement (Pardot)

12Jun

Data Management in Salesforce Marketing Cloud Account Engagement

Data Management in Salesforce Marketing Cloud Account Engagement by Tectonic Salesforce Marketing Consultant, Shannan Hearne One of the most critical aspects to begin on the right foot within Salesforce Marketing Cloud Account Engagement (Pardot) is the organization of your data—comprising lists, prospects, email assets, campaigns, and forms. Properly “filing” these elements is essential for maximizing the tracking and reporting capabilities inherent in your Salesforce Marketing Cloud Account Engagement digital marketing tool. Failure in data organization poses significant risks to your business, including: To maintain an organized instance of Marketing Cloud Account Engagement, regularly check for sync errors between Salesforce and Account Engagement. Ensure that the Salesforce connector has all necessary permissions, preventing future issues with automation or reporting features. By consistently monitoring the connector, data synchronization across platforms can be assured, avoiding discrepancies between sales and marketing information. Enable features like email send result reporting back to your Salesforce database for daily insights into campaign results and connector health. Data Management in Salesforce Marketing Cloud Account Engagement Associating assets with the correct Marketing Cloud Account Engagement campaigns is crucial for effective tracking and reporting. Remove irrelevant campaigns to declutter your Marketing Cloud Account Engagement instance, promoting transparency. Periodically review and streamline custom fields, eliminating redundant ones and identifying fields needed for segmenting data or pulling additional data from Salesforce. Organization of Content Maintain a clear and logical folder structure for efficient asset management, saving time and preventing lost or duplicated assets. Organize marketing assets into logical folders and sub-folders, ensuring transparency and accessibility for Marketing Cloud Account Engagement users. Establish and enforce proper naming conventions for assets, promoting easy retrieval and future reviews. Many administrators will go a step farther with a standard naming convention such as year-month-line of business-campaign-asset. Utilize Marketing Cloud Account Engagement tags for sorting, organizing, and searching content, enhancing overall asset management. Apply tags to prospects for efficient reviewing or reporting, and maintain consistency in naming conventions organization-wide. Employ dynamic lists to automatically segment prospects based on defined criteria, ensuring ease of management and organization. Use rules to add and remove tags based on completion or actions taken by prospects. Data Management in The Recycle Bin of Account Engagement Leverage the Marketing Cloud Account Engagement recycle bin to retain deleted items and easily restore them if needed. Keep an eye on usage limits through the admin panel, especially file storage limits. Utilize the recycle bin to free up space by placing unnecessary items, like outdated Marketing Cloud Account Engagement-hosted files or inactive prospects, in the bin. Regularly check and enable features like Handlebars Merge Language (HML) for advanced personalization in emails and landing pages. Stay updated on new features to maximize the benefits of your Marketing Cloud Account Engagement. Tectonic, through managed services, ensures Marketing Cloud Account Engagement instances are up-to-date, offering customization and training for optimal utilization. Contact us for a Marketing Cloud Account Engagement analysis and cleanup tailored to your company’s needs. Like1 Related Posts Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. 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 Advantages of a Cloud Managed Service Provider Considering outsourcing your IT management to a cloud managed service provider? Here are several benefits of opting for a cloud Read more

June 12, 2023in Salesforce Managed Services, Salesforce Marketing Cloud Account Engagement (Pardot)

12Jun

Subscription Models

In today’s business world, numerous companies are either adopting or considering the implementation of paid subscription models. A subscription model involves providing products or services to customers on a recurring basis, usually monthly or annually, in exchange for a regular and likely reduced fee. This approach helps companies establish predictable revenue streams, foster customer loyalty, and offer flexibility to customers. Successfully refreshing the pricing strategy for your subscription business requires two essential components: a clear picture of what success looks like and a customer-first approach. Recurring revenue serves as a cornerstone for growth and predictability in business operations. By incorporating Subscription Models, companies can initiate each quarter with a baseline revenue, providing a foundation for continued growth. Customers benefit from flexible payment options, such as pay-as-you-go, facilitating easier commitment to purchases. Subscription Models While building recurring revenue through subscriptions is advantageous, success is not guaranteed solely by its implementation. Traditional billing methods may hinder the full potential of subscription selling, necessitating collaboration between sales and finance teams to introduce new processes and technology to capture maximum value. The first step to refreshing your pricing strategy is to identify what’s not currently working. Signals of dysfunction, such as excessive discounts, constant promotions, and static price rates, indicate areas for improvement. A thorough review of these red flags helps identify the goal of your pricing refresh. Have a clear picture of the metric you are trying to move, whether it’s increasing customers in a particular segment or improving the upsell path. Paralysis of Analysis After the initial analysis stage, many companies find themselves in a state of paralysis. We call that paralysis of analysis. It’s crucial to be cautious with existing customers while applying new pricing to new customers. Set a timeline for when your new subscription pricing will be available to new customers and work backward from there. Pilot your new pricing with both new and existing customers, supporting both old and new pricing in your catalog for testing, iteration, and repetition. For new customers, test the right price point and packaging strategy, then roll it out to all new customers after the launch date. For existing customers, identify those who will benefit from the new pricing strategy and start with them. It’s imperative to pilot your new pricing with both new and existing customers, ensuring a smooth transition. Salesforce’s Next Best Action tool will help you automate this process. The adoption of recurring revenue models extends beyond technology companies. Michelin, for instance, successfully transitioned to a recurring revenue model by charging customers based on mileage instead of selling tires outright. This strategic shift increased profits and maintained Michelin’s competitive edge in the tire industry. This example underscores that any company, regardless of industry, can develop a subscription-based model for their existing lines of business. Recurring Revenue In a subscription model, customers are charged on a recurring basis for a product or service. They choose how long and how often they want to receive each offer, with the option to renew or cancel at any time. This approach creates a contract between the business and the customer, providing a steady and predictable revenue stream. It also has been proven to enhance customer loyalty and satisfaction. A subscription business model is one in which customers are charged a recurring fee for access to a product, replacing a one-time expense. This recurring fee is typically paid monthly or yearly, offering customers the flexibility to choose the frequency of their purchases. In some cases customers can even choose the delay period between shipments. 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

June 12, 2023in Salesforce

11Jun

Interaction Studio (Marketing Cloud Personalization)

Marketing Cloud Personalization, a component of Salesforce Marketing Cloud, serves as a real-time personalization and interaction management solution. Formerly known as Interaction Studio, this tool empowers organizations, particularly marketers, to dynamically promote relevant products and services in real-time across various channels such as web, email, and mobile. Website and App Personalization Leverage machine learning and AI to craft personalized experiences across webpages, in-app interfaces, product recommendations, and content. Tailor each customer interaction to drive specific key performance indicators (KPIs), from acquisition to customer retention, utilizing a blend of real-time user behavior and historical customer data. Enhance page personalization with machine learning for elements like banners or pop-ups, and conduct targeting and testing at the pace customers browse, with personalization decisions occurring in milliseconds. AI-Driven Journey Triggers Initiate relevant, real-time experiences guiding customers along their buying journey. Utilize AI-driven decisions to identify the most fitting next engagement, based on real-time customer behavior, historical data, and business-specific datasets such as pricing and inventory. Deliver predefined experiences, such as browsing or cart abandon journeys, while employing real-time customer interactions to determine the appropriate content, channel, or offer. Sales and Service Personalization Integrate real-time engagement data seamlessly into sales and service consoles to enhance customer and prospect interactions. Empower service teams to preempt queries and offer more effective case resolutions by gaining faster access to a customer’s recent interactions across various business touchpoints. Provide sales teams with insights into an account or prospect’s purchase journey, enabling more relevant conversations and offers based on real-time knowledge of content consumed, products viewed, or time spent on your site. Real-Time Affinity Profiling Utilize AI to synthesize in-the-moment intent data and past business engagements, identifying customer affinities, interests, and preferences. Enhance personalization capabilities with a fully customizable affinity graph, mapping and visualizing real-time customer profiles. Develop nuanced perspectives on customers to deliver custom messaging and offers, resulting in higher conversion rates across website, app, and other channels. Open-Time Email Personalization Engage customers with relevant email campaigns using real-time personalization. Deliver timely, customized messages with Open-Time Email Personalization, optimizing emails dynamically at the time of open with changeable sections. Personalize any aspect of the email, including offers, product selection, and general content, based entirely on the real-time understanding of the customer’s journey. AI Automated Offers Enhance the relevance of every customer engagement with Einstein Decisions. Powered by a contextual bandit algorithm, these decisions use real-time and historical profile data alongside predetermined business logic to identify dynamic offers throughout the customer journey. Continuously improve decision-making by feeding new data into Einstein, optimizing future decisions across various dynamic scenarios. Behavioral Data and Analytics Access real-time analytics across key performance indicators, monitoring transactions, responses, conversions, and revenue. Analyze data at the individual, segment, and campaign levels, utilizing dashboards with deep analytics on customer trends across channels and touchpoints to enhance website and app experiences. AI Test and Learn Optimize web and app experiences with A/B and multivariate testing, targeting tests based on real-time, behavioral, contextual, and historical data. Act confidently on results using randomized tests that employ Bayesian modeling to assess confidence levels for both out-of-the-box and custom KPIs. Integrate data to optimize personalization across channels, including the website, mobile app, email, service, and sales interactions. Survey Management Leverage profile data to deliver highly targeted surveys across websites and apps, capturing zero-party data that enriches customer insights. Utilize individual responses to shape subsequent content and improve the effectiveness of different calls to action. Related Products Enhance the effectiveness of your Personalization Studio with related products such as Data Cloud for Marketing, Marketing Cloud Engagement, Marketing Cloud Account Engagement, and Marketing Cloud Intelligence. Marketing Cloud Personalization was previously also known as Evergage. Salesforce bought Evergage for its personalization engine, which predicts marketing offers based on customer history and behavioral data with AI. “They were pretty clear that this is quite separate from their CDP project,” Raab said, adding that Salesforce B2C customers will benefit the most. 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 Salesforce Data Studio Data Studio Overview Salesforce Data Studio is Salesforce’s premier solution for audience discovery, data acquisition, and data provisioning, offering access Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more 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

June 11, 2023in Marketing Automation, Salesforce Marketing Cloud, Salesforce Personalization

Salesforce Einstein and Einstein Automate

10Jun

AI Fundamentals

The concept of Artificial Intelligence (AI) has long been a fascination for storytellers and sci-fi enthusiasts. However, for a considerable period, most individuals didn’t give AI much serious consideration, perceiving it as a distant futuristic sci-fi possibility. Nevertheless, researchers and computer scientists have been actively working to transform the dream of AI into a tangible reality, leading some to insist that we have already entered the Age of AI. The AI Fundamentals explained. While the extent of AI’s integration into our daily lives remains uncertain, it is evident that meaningful conversations about AI require a shared vocabulary and a solid foundation of core concepts. Presently, asking ten people to define artificial intelligence is likely to yield ten different answers. This insight attempts to establish a common understanding by exploring AI’s current capabilities and digging into the methodologies employed by computer scientists in creating remarkable AI systems. AI Fundamentals Defining AI proves challenging due to distorted perceptions influenced by science fiction narratives portraying AI as a potentially malevolent force. Additionally, our tendency to benchmark AI against human intelligence contributes to this challenge. And I don’t want AI to be able to write a blog post as well as me! Acknowledging the vast spectrum of intelligence in the animal kingdom, as well as the diversity in human intelligence, prompts a need to view artificial intelligence through a similar lens. As humans we may think we are a lot smarter than a bird. But I don’t know how to fly, do you? AI Capabilities Recognizing specific AI capabilities tailored to distinct tasks is crucial, dispelling the notion of a universally proficient AI, known as general AI, which remains a distant goal. AI currently exists in specialized forms, each excelling at particular jobs. Key AI capabilities fall into several categories: It’s safe to say, artificial intelligence encompasses computer abilities associated with human intuition, inference, and reasoning. Presently, AI skills are highly specialized, covering categories like numeric predictions and language processing. The evolving landscape of AI offers a glimpse into the transformative potential of this technology, emphasizing its current application in specific domains. 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

June 10, 2023in Salesforce, Salesforce Einstein, Salesforce Financial Services Solutions, Salesforce Health and Life Sciences Solutions

09Jun

Salesforce Communications Cloud

Salesforce’s Communications Cloud enables the delivery of digital-first journeys and seamless order processes, offering time and cost savings while enhancing operational efficiencies. In collaboration with Tectonic, this Salesforce tool empowers the creation of straightforward yet powerful digital experiences. It aids in streamlining product and service launches, adhering to industry standards, architectures, and leveraging predictive analytics to reduce churn. Communications Cloud Formerly Vlocity Built on the world’s leading CRM platform, Communications Cloud, formerly known as Vlocity for communications, empowers B2C, B2B, and wholesale communications service providers (CSPs) to transition to a catalog-driven digital BSS (digital business support system). With purpose-built industry functionality and the comprehensive capabilities of Sales Cloud and Service Cloud, service providers can swiftly adapt to changing customer expectations, achieve faster time-to-value, and integrate every aspect of their organization, from marketing and retail channels to customer care and operations. B2B, B2C, and Multi-Channel Salesforce Communications Cloud ensures businesses exceed customer expectations across B2B, B2C, and multiple channels. It seamlessly integrates with Salesforce Marketing, Sales, and Service Clouds, offering industry-specific functionality. Utilizing analytics and artificial intelligence (AI), it delivers personalized services, enabling omnichannel marketing across various channels. Get Help Today Collaborating with Tectonic ensures the seamless integration of Communications Cloud functionality with other Salesforce systems, promoting smooth data flow and cohesive organizational processes. For specific business operations, like number reservation systems or credit check applications, that are not directly supported by Salesforce Customer 360, OmniStudio and APIs can be employed to integrate third-party applications. This solution provides industry-standard APIs, including TMF620 and TMF645 APIs. Thereby automating processes for faster and more accurate service. Tailored Customer Interactions Communications Cloud allows tailoring customer interactions based on individual preferences, providing notifications about promotions, service activations, outages, billing information, product changes, and feedback opportunities. Each communication is tracked on the customer account. Thus enabling Einstein Analytics to monitor interactions for efficient and personalized service. Commercial and technical teams collaborate using a shared catalog to design and develop customer-specific offers. With reusable components in the shared catalog, teams can efficiently build, test, and connect offer elements, reducing time-to-market. Customers can order products and services through various channels, and Communications Cloud, being omnichannel, processes and stores information using a master data source. It ensures that products and services offered are relevant, correctly configured, priced, available, and deliverable before the order is placed. Integration with Marketing and Service Clouds facilitates order fulfillment, service scheduling, and customer communication. Call center interactions become opportunities to build relationships and make informed suggestions. What used to be complaints now enhancing the customer experience. In the communications industry, changes to plans and services, known as move, add, change, delete (MACD), are managed through Communications Cloud integration with Salesforce Service and Marketing clouds. Sales reps create MACD orders with industries CPQ, keeping customers informed of progress and scheduling relevant service appointments. Tectonic, as a Salesforce Consulting Partner, assists companies in utilizing Communications Cloud effectively. Through the discovery process, roles and responsibilities are mapped to determine how key employees can best leverage Salesforce Communications Cloud. Tectonic comprises a skilled team of Salesforce-certified Consultants, Developers, Analysts, and Project Managers. Specializing in innovative Salesforce solutions, the team brings custom Salesforce technology to various business aspects. Always ensuring strategic services align with specific needs. Like Related Posts Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. 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 Advantages of a Cloud Managed Service Provider Considering outsourcing your IT management to a cloud managed service provider? Here are several benefits of opting for a cloud Read more Best CPQ for Salesforce Many businesses, once they select the best Salesforce CPQ tool for their business, turn to an implementation partner like Tectonic Read more

June 9, 2023in Salesforce Communications Cloud, Salesforce Managed Services

08Jun

Benioff Dreams of AI Making Messaging Intelligent

During the company’s recent earnings call, Salesforce CEO Marc Benioff spoke about the “revolutionary” impacts of generative AI, emphasizing the immense potential it holds for the tech industry. Benioff Dreams of AI Making Messaging Intelligent. Benioff highlighted Salesforce’s integration of OpenAI’s ChatGPT platform into Slack, the workplace messaging app owned by Salesforce. This integration aims to enhance Slack’s capabilities by enabling features such as conversation summarization, research assistance, and message drafting directly within the platform. Benioff expressed his vision for Slack to become intelligent itself, leveraging the wealth of data stored within the platform. He emphasized the transformative potential of generative AI in providing intelligent support to users, potentially revolutionizing customer service interactions and business operations. Salesforce’s clients, including Gucci, are already leveraging AI to enhance customer service experiences, reflecting the growing adoption of AI-driven solutions across various industries. Generative AI offers benefits such as time-saving automation of routine tasks, efficient research gathering, and concise information delivery, benefiting individuals in personal, professional, and academic contexts. However, concerns regarding the ethical implications of generative AI have also surfaced, including issues related to deepfake images, bias, and potential job displacement. Some advocate for stricter regulation and careful assessment of AI’s risks before further development. Benioff Dreams of AI Making Messaging Intelligent Despite these concerns, Benioff remains optimistic about the transformative potential of generative AI, describing it as a revolution that will reshape the world in unprecedented ways. He believes that we are only at the beginning of this AI revolution, with much more innovation and transformation yet to come. 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

June 8, 2023in Generative AI, Salesforce, Salesforce Einstein

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