Customer Lifetime Value - gettectonic.com
AI FOMO
26Oct

AI FOMO

Enterprise interest in artificial intelligence has surged in the past two years, with boardroom discussions centered on how to capitalize on AI advancements before competitors do. Generative AI has been a particular focus for executives since the launch of ChatGPT in November 2022, followed by other major product releases like Amazon’s Bedrock, Google’s Gemini, Meta’s Llama, and a host of SaaS tools incorporating the technology. However, the initial rush driven by fear of missing out (FOMO) is beginning to fade. Business and tech leaders are now shifting their attention from experimentation to more practical concerns: How can AI generate revenue? This question will grow in importance as pilot AI projects move into production, raising expectations for financial returns. Using AI to Increase Revenue AI’s potential to drive revenue will be a critical factor in determining how quickly organizations adopt the technology and how willing they are to invest further. Here are 10 ways businesses can harness AI to boost revenue: 1. Boost Sales AI-powered virtual assistants and chatbots can help increase sales. For example, Ikea’s generative AI tool assists customers in designing their living spaces while shopping for furniture. Similarly, jewelry insurance company BriteCo launched a GenAI chatbot that reduced chat abandonment rates, leading to more successful customer interactions and potentially higher sales. A TechTarget survey revealed that AI-powered customer-facing tools like chatbots are among the top investments for IT leaders. 2. Reduce Customer Churn AI helps businesses retain clients, reducing revenue loss and improving customer lifetime value. By analyzing historical data, AI can profile customer attributes and identify accounts at risk of leaving. AI can then assist in personalizing customer experiences, decreasing churn and fostering loyalty. 3. Enhance Recommendation Engines AI algorithms can analyze customer data to offer personalized product recommendations. This drives cross-selling and upselling opportunities, boosting revenue. For instance, Meta’s AI-powered recommendation engine has increased user engagement across its platforms, attracting more advertisers. 4. Accelerate Marketing Strategies While marketing doesn’t directly generate revenue, it fuels the sales pipeline. Generative AI can quickly produce personalized content, such as newsletters and ads, tailored to customer interests. Gartner predicts that by 2025, 30% of outbound marketing messages will be AI-generated, up from less than 2% in 2022. 5. Detect Fraud AI is instrumental in detecting fraudulent activities, helping businesses preserve revenue. Financial firms like Capital One use machine learning to detect anomalies and prevent credit card fraud, while e-commerce companies leverage AI to flag fraudulent orders. 6. Reinvent Business Processes AI can transform entire business processes, unlocking new revenue streams. For example, Accenture’s 2024 report highlighted an insurance company that expects a 10% revenue boost after retooling its underwriting workflow with AI. In healthcare, AI could streamline revenue cycle management, speeding up reimbursement processes. 7. Develop New Products and Services AI accelerates product development, particularly in industries like pharmaceuticals, where it assists in drug discovery. AI tools also speed up the delivery of digital products, as seen with companies like Ally Financial and ServiceNow, which have reduced software development times by 20% or more. 8. Provide Predictive Maintenance AI-driven predictive maintenance helps prevent costly equipment downtime in industries like manufacturing and fleet management. By identifying equipment on the brink of failure, AI allows companies to schedule repairs and avoid revenue loss from operational disruptions. 9. Improve Forecasting AI’s predictive capabilities enhance planning and forecasting. By analyzing historical and real-time data, AI can predict product demand and customer behavior, enabling businesses to optimize inventory levels and ensure product availability for ready-to-buy customers. 10. Optimize Pricing AI can dynamically adjust prices based on factors like demand shifts and competitor pricing. Reinforcement learning algorithms allow businesses to optimize pricing in real time, ensuring they maximize revenue even as market conditions change. Keeping ROI in Focus While AI offers numerous ways to generate new revenue streams, it also introduces costs in development, infrastructure, and operations—some of which may not be immediately apparent. For instance, research from McKinsey & Company shows that GenAI models account for only 15% of a project’s total cost, with additional expenses related to change management and data preparation often overlooked. To make the most of AI, organizations should prioritize use cases with a clear return on investment (ROI) and postpone those that don’t justify the expense. A focus on ROI ensures that AI deployments align with business goals and contribute to sustainable revenue growth. 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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October 26, 2024in Generative AI
Salesforce Rollups
16Aug

Salesforce Rollups

70% of Sales Teams Rely on CRM Systems, but 43% Struggle with Data Management—Here’s a Solution CRM platforms like Salesforce have become indispensable tools for modern sales teams aiming to optimize workflows and gain critical insights. Despite their importance, many teams still face challenges with data management, often due to the sheer volume of data that must be processed, organized, and analyzed. This growing need for streamlined data management has paved the way for innovative solutions like automated rollups in Salesforce. Ksolves has developed RollUp Magic, a one-stop solution for seamless Salesforce data management. Why RollUp Magic? RollUp Magic is designed to enhance the efficiency and effectiveness of sales teams by automating the calculation of rollup summaries based on specific criteria. This tool significantly reduces the burden of manual data handling, providing instant access to key metrics and ensuring the power of CRM systems is fully realized. In this insight, we’ll explore how RollUp Magic works, its key features, and how it can boost the efficiency of your sales team. Introduction to Automated Rollups Automated rollups in Salesforce aggregate data across related records without manual intervention, continuously updating key metrics like sums, averages, or counts. This automation not only saves time but also ensures consistency and accuracy in reporting, empowering organizations to make decisions based on the most current data. Manual vs. Automated Rollups Manual Rollups: Automated Rollups: Automated rollups offer a more efficient, accurate, and reliable way to manage and analyze Salesforce data compared to manual methods. Benefits of Automated Rollups for Sales Teams RollUp Magic: The Ultimate Tool for Automated Data Insights RollUp Magic simplifies and automates the data rollup process in Salesforce, allowing businesses to create custom rollups for any data, including lookup relationships. Here’s how RollUp Magic enhances Salesforce capabilities: Key Features of RollUp Magic for Sales Teams Metrics Sales Teams Can Track with RollUp Magic Conclusion Investing in Salesforce automation is a strategic move for any sales team. As industries move towards modern practices, Ksolves’ RollUp Magic emerges as a crucial tool, enabling teams to create rollup summaries for objects with lookup relationships, overcoming the limitations of standard fields. By leveraging Salesforce, sales teams can streamline workflows, enhance cross-department collaboration, and deliver exceptional client experiences. From optimizing deal forecasting to ensuring compliance, Salesforce equips sales professionals with the tools needed to succeed in a rapidly evolving marketplace. 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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August 16, 2024in Salesforce
Data Cloud Features and Connectors
27Jun

Data Cloud Features and Connectors

Leveraging New Features and Connectors in Salesforce’s Data Cloud Salesforce’s Data Cloud is rapidly evolving with continuous updates and new functionalities, including AI advancements. Keeping pace with these changes can be challenging. This insight explores the latest features and how to effectively utilize them to enhance your Salesforce environment. Data Cloud Features and Connectors. Are CDP and data Cloud the same? Data Cloud is more than just your traditional CDP. It’s the only data platform native to the world’s #1 AI CRM. This means that marketers can quickly access and easily action on unified data – from across the entire business – to drive growth and increase customer lifetime value. Introducing the Feature Manager The Winter ‘24 update introduced the Feature Manager, a powerful tool that simplifies managing Data Cloud’s features. It allows you to easily enable, disable, and monitor AI and beta features within the platform. Where to Find It You can find the Feature Manager in the navigation pane under the Features section, providing a centralized and intuitive way to manage your Data Cloud capabilities. Enable Data Cloud Features Using the Feature Manager, you can enable Data Cloud features. This screen is visible only when there are one or more features to enable or disable. Advantages of Enabling Beta Features One standout capability of the Feature Manager is its support for enabling beta versions of connectors and AI features. Here’s why you should consider using beta features: Early Access to Innovations Beta features give you early access to the latest tools, allowing you to experiment with new functionalities before their official release. This can provide a competitive edge and enhance your Salesforce environment. Feedback and Influence Using beta features allows you to provide valuable feedback to Salesforce, helping shape the final versions of these tools. This feedback loop ensures that the features are refined to meet user needs. How to Enable Beta Features Enable and Disable Data Cloud AI and Beta Features with Feature Manager Easily enable, disable, and monitor Data Cloud AI and beta features using the new Feature Manager, found in the navigation pane under Features. Where: This change applies to Data Cloud in Developer, Enterprise, Performance, and Unlimited editions. Steps to Enable Beta Features: Real-World Example: Adobe Marketo Connector A prime example of a beta feature available in the Winter ’24 release is the Adobe Marketo connector. This connector is currently in beta, allowing users to enable and test it through the Feature Manager. Steps to Enable the Adobe Marketo Connector By enabling and testing this connector, you can explore its functionalities and see how it integrates with your existing Salesforce setup. Staying Updated with Salesforce Data Cloud Keeping up with the latest features in Salesforce Data Cloud doesn’t have to be overwhelming. With tools like the Feature Manager, you can easily manage, enable, and experiment with new features and connectors, including those currently in beta. This not only keeps you at the forefront of innovation but also allows you to directly influence the development of these tools. Dive in, utilize the new capabilities, and make the most of what Salesforce Data Cloud has to offer. 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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June 27, 2024in Salesforce Data Cloud
Understanding and Growing Your Monthly Recurring Revenue
11Jun

Understanding and Growing Your Monthly Recurring Revenue

Understanding and Growing Your Monthly Recurring Revenue (MRR) Monthly Recurring Revenue (MRR) is a vital metric for subscription-based and managed services businesses. It indicates whether your business is growing or shrinking and is crucial for making strategic decisions. Understanding and Growing Your Monthly Recurring Revenue is a key to building, monitoring, and exploding your pipeline. What is Monthly Recurring Revenue (MRR)? While revenue represents your company’s total income, MRR is the predicted monthly revenue from active subscriptions. It includes all recurring charges such as subscriptions, service retainers, promos, discounts, and add-ons, but excludes one-time fees. Why is MRR Important? MRR provides insights into financial performance, growth potential, churn, and customer value. It is essential for strategic planning and investor relations. Benefits of Calculating MRR: Types of MRR: How to Calculate MRR: The basic formula for MRR is: MRR=Number of active accounts×Average monthly revenue per accounttext{MRR} = text{Number of active accounts} times text{Average monthly revenue per account}MRR=Number of active accounts×Average monthly revenue per account Steps to Calculate MRR: Example Calculation: MRR=(100×$50)+(50×$100)=$5,000+$5,000=$10,000text{MRR} = (100 times $50) + (50 times $100) = $5,000 + $5,000 = $10,000MRR=(100×$50)+(50×$100)=$5,000+$5,000=$10,000 So, the MRR for that month would be $10,000. Advanced MRR Calculations: Growing Your MRR: MRR is a crucial metric for understanding your customers, finances, and growth potential. By tracking and managing MRR, you can make informed decisions and drive sustainable business growth. As the subscription-based and managed services landscape evolves, prioritizing MRR is essential for improving and innovating revenue streams. 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 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

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June 11, 2024in Salesforce Financial Services Solutions, Salesforce Hospitality Travel and Transportation, Salesforce Manufacturing Automotive Energy, Salesforce Revenue Cloud, Salesforce Sales Cloud
Salesforce and Loop
10May

Salesforce and Loop

Loop, the premier returns and reverse logistics platform, has extended its acclaimed returns management software to merchants using Salesforce Commerce Cloud, marking a significant expansion beyond Shopify’s realm. This integration offers enterprise merchants on Salesforce Commerce Cloud access to Loop’s renowned returns management solution, effectively easing the complexities associated with customer returns. Merchants leveraging Salesforce Commerce Cloud will now have the advantage of Loop’s user-friendly returns management software, facilitating streamlined reverse logistics processes. This integration aims to bolster profit margins by reducing the costs associated with returns and providing customers with a modern, exchange-centric returns experience. Key benefits for merchants include: Jonathan Poma, CEO of Loop, expressed enthusiasm about extending Loop’s acclaimed returns solution to Salesforce Commerce Cloud merchants, citing the increasing demand from brands outside the Shopify ecosystem. He highlighted Loop’s commitment to delivering a seamless experience characterized by ease of use, operational efficiency, and cost savings. Loop’s integration with Salesforce Commerce Cloud enables merchants to effortlessly manage item exchanges, synchronize order data, automate returns processes, leverage analytics for continuous improvement, and more. Merchants operating on Salesforce Commerce Cloud can explore early adoption opportunities by scheduling a demo with Loop’s team. Loop will also be present at Salesforce Connections 2024 in Chicago, inviting interested parties to schedule meetings to discover how Loop can streamline reverse logistics processes and reduce costs associated with returns. About Loop: Loop is a leading post-purchase platform specializing in returns, exchanges, and reverse logistics for over 3,500 renowned brands worldwide. With innovative features like Workflows, Instant Exchanges, Shop Now, and Bonus Credit, Loop empowers brands to unlock cost savings, enhance customer lifetime value, and retain more revenue. Having processed over 40 million returns to date, Loop continues to redefine post-purchase experiences. Learn more at www.loopreturns.com. 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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May 10, 2024in Salesforce Commerce Cloud
Salesforce Revenue Summer 24 Release Notes
25Apr

Salesforce Revenue Summer 24 Release Notes

Automate and scale your revenue operations with a robust portfolio of Revenue Cloud products. Use Revenue Lifecycle Management to empower your organization’s sales and revenue management processes. Salesforce Billing offers efficient resolutions to all invoice processing issues. Salesforce Revenue Summer 24 Release Notes. 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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April 25, 2024in Salesforce, Salesforce Asset Management, Salesforce CPQ, Salesforce Optimization, Salesforce Revenue Cloud, Salesforce Sales Cloud
The State of Loyalty
10Oct

The State of Loyalty

You’ve likely seen the headlines proclaiming “Loyalty is dead,” reflecting declining customer and brand loyalty, exacerbated by post-pandemic shifts and uninspiring loyalty programs. As of 2022, active participation in loyalty programs has dropped, indicating a disconnect between consumer expectations and program offerings. The State of Loyalty. The issue lies with outdated and repetitive loyalty programs that fail to evolve with consumer needs. Many programs offer little beyond basic incentives like points or discounts, which no longer suffice in a saturated market where every brand seems to offer a similar scheme. Modern consumers demand mutual loyalty: personalized interactions, anticipation of needs, and alignment with personal values. To meet these expectations, companies are redefining loyalty success. A significant 82% plan to increase investment in loyalty programs, focusing on deeper connections that foster lasting customer loyalty. Redefining Loyalty: Permanence: Brands strive to maintain a permanent position in consumers’ minds, becoming their default choice in a competitive landscape. Forgiveness: Strong existing trust allows brands to recover from mistakes without losing loyal customers. Championship: Beyond advocacy, customers champion brands by recommending them to their closest networks, cementing their personal reputation with the brand’s reliability. Loyalty Model Options: Four baseline models—Transactional, Experiential, Experience-led, and Perpetual—guide loyalty strategies, each offering unique outcomes based on customer engagement and program design. Transactional Loyalty: Rewards based on purchases, enhancing customer lifetime value, purchase frequency, and brand preference. Experiential Loyalty: Emotional connections through personalized experiences, enhancing spending and earned media ROI. Experience-led Loyalty: Anticipating customer needs through enhanced interactions across the customer journey, fostering efficiency and scalability. Perpetual Loyalty: Seamless integration into daily life, aligning brand purpose with customer values, and overcoming operational challenges through targeted design and personalization. Operational Considerations: Successful loyalty strategies require alignment across vision, investment, and operational capabilities, spanning experience, data, technology, organization, process, and monetization. Key Recommendations: Conclusion: Building a successful loyalty strategy requires a comprehensive understanding of customer dynamics and a commitment to adaptability. Beyond mere programs or platforms, true loyalty inspires enduring customer actions—commitment, advocacy, and forgiveness—that reflect a brand’s ability to co-create value with its customers. Explore diverse loyalty models to meet these evolving consumer demands and secure lasting brand loyalty in today’s dynamic market. Content updated March 2024. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more 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

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October 10, 2023in Salesforce Optimization, Salesforce Sales Cloud
Shifting KPIs With Real-Time Intelligence
25Apr

Shifting KPIs With Real-Time Intelligence

Marketing without metrics is akin to driving blindfolded. To gauge the effectiveness of their efforts, marketers are investing in analytics capabilities to gain a precise understanding of how their messages, campaigns, and marketing expenditures impact their objectives. The ability to swiftly unlock these insights empowers marketers to promptly address customer needs and make well-informed decisions to propel business growth. This is bringing about Shifting KPIs With Real-Time Intelligence In contrast to 61% of underperforming marketers, a significant 72% of high-performing marketers can analyze marketing performance in real time. This real-time analysis provides them with a distinct advantage in responding to and optimizing campaign performance. However, a notable 33% of marketers still rely on manual processes for marketing attribution, a figure that has seen marginal improvement from 34% in 2020. In 2022, 68% of marketers claim they can analyze marketing performance in real time. For organizations aiming to enhance efficiency and maximize value, identifying the right metrics to track is imperative. As marketing budgets face rigorous scrutiny, analytics offer leaders the insights needed to optimize spending and reduce acquisition costs, reinforcing the value of marketing efforts. Shifting KPIs With Real-Time Intelligence The landscape of analytics has expanded, with marketers now monitoring a comprehensive set of metrics, including year-over-year revenue and customer satisfaction. Personalization and customer touchpoints have gained prominence, leading to increased tracking of web/mobile analytics, content engagement, and customer lifetime value. Marketers are now monitoring an extensive array of key performance indicators (KPIs), encompassing revenue, customer satisfaction metrics (CSAT), web and mobile analytics, customer acquisition costs, B2B sales funnel statistics, content engagement, customer retention rates, customer referral rates, and customer lifetime value. Despite the growing sophistication in tracking various metrics, marketers highlight measuring marketing ROI/attribution as their second most significant challenge. This indicates a continued need for streamlining the reporting process to enhance efficiency and effectiveness. 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 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

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April 25, 2023in Salesforce Einstein
Salesforce CDP Innovations
12May

Salesforce CDP Innovations

New Salesforce CDP Innovations: Smarter, Faster, and More Personalized Customer Interactions Salesforce has launched new innovations for its Customer Data Platform (CDP), designed to help businesses leverage first-party data for more personalized customer experiences. Leading brands like Bank of Montreal and convenience store retailer Casey’s are already using Salesforce CDP to create a unified source of customer truth, streamlining interactions and providing frictionless customer experiences. The world is gradually recovering from the pandemic, and consumer behavior is shifting as shops, hotels, restaurants, and other establishments reopen. While customers are eager to engage in the experiences they’ve missed, companies recognize that digital innovations, such as curbside pickup and direct-to-consumer websites, which fueled pandemic-era growth, are here to stay. As expectations for personalized, connected experiences grow—with 70% of customers demanding this—many businesses struggle to unify customer data across systems, teams, and devices. This data fragmentation makes it difficult to create a single source of truth for customers. Salesforce CDP: Built on the World’s Leading CRM Salesforce CDP solves this challenge by capturing, unifying, and activating customer data across various touchpoints to drive more personalized experiences. Today’s new CDP features make data smarter, more connected, and easier to activate securely. Built on Salesforce’s #1 CRM platform, the CDP unifies data from sales, service, marketing, loyalty, and commerce systems, creating a comprehensive single source of truth. Businesses can then leverage this unified view for personalized marketing, advertising, analytics, and relationship-building strategies that increase customer loyalty and revenue. New Innovations in Salesforce CDP Include: How Businesses Are Using Salesforce CDP Availability of New Features: This insight helped you learn more about these innovations and how Salesforce CDP can enhance customer engagement from anywhere. 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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May 12, 2021in Data, Mulesoft, Salesforce, Technology
AI-driven propensity scores
20May

AI-Driven Propensity Scores

AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables through machine learning, without explicit programming. This insight has gone through numerous updates as the information and use of AI-driven propensity scores evolved. In many cases, writers give a brief overview of the what of a tool. Today, we are going way beyond “what the sausage tastes like” to “how the sausage is made” Tectonic hopes you will enjoy learning how propensity models and AI driven propensity scores improve your data. Propensity Model in Artificial Intelligence: Propensity modeling generates a propensity score, representing the probability that a visitor, lead, or customer will take a specific action. For instance, a propensity model, using data science or machine learning, can help predict the likelihood of a lead converting to a customer. AI-driven propensity scores take an existing data model and improve its predictions, speed, and analysis with AI. Propensity Score in CRM: In CRM, a propensity score is the model’s probabilistic estimate of a customer performing a specific action. Grouping customers by score ranges allows for effective comparison and analysis within each bucket. Enhancing Propensity Modeling with AI: Traditional statistical propensity models might lack accuracy, but integrating machine learning technologies, as demonstrated by Alphonso, can significantly optimize ad spend and increase prediction accuracy from 8% to 80%. That’s a whopping 72% improvement. Propensity Modeling Overview: Propensity modeling involves predictive models analyzing past behaviors to forecast the future actions of a target audience. It identifies the likelihood of specific actions, aiding in personalized marketing. Role of Machine Learning in Propensity Models: Propensity models rely on machine learning algorithms, acting as binary classifiers predicting whether a certain event or behavior will occur. Logistic regression and Classification and Regression Tree Analysis are common methods for calculating propensity scores. Characteristics of Effective Propensity Models: For robust predictions, propensity models should be dynamic, scalable, and adaptive. Dynamic models adapt to trends, scalable for diverse predictions, and adaptive with regular data updates. Propensity Modeling Applications: Propensity models find applications in predicting customer behavior, such as purchasing, converting, churning, or engaging. Real-time predictions, data analysis, and AI integration contribute to successful implementations. AI-driven propensity scores are extremely useful in that they can be coupled with many other models to give additional insights to your data. Types of Propensity Score Models: Various models include propensity to purchase/convert, customer lifetime value (CLV), propensity to churn, and propensity to engage. Combining models can enhance the effectiveness of marketing campaigns. When to Use Propensity Scores: Propensity scores are beneficial when random assignment of treatments is impractical. They help estimate treatment effects in observational studies, providing an alternative to traditional model-building methods. Limitations of Propensity Score Methods: While propensity scores help achieve exchangeability between exposed and unexposed groups, they do not claim to eliminate confounding due to unmeasured covariates. Findings from observational studies must be interpreted cautiously due to potential residual confounding. Content updated October 2021. Content updated February 2024. Like3 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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May 20, 2019in Salesforce Einstein

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