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demand generation web use cases for personalization

Demand Generation Web Use Cases for Personalization

Utilize effective personalization techniques adopted by businesses in online campaigns to stimulate demand generation. The term “demand generation” has somewhat faded from the marketing lexicon due to the emphasis on analytics, AI, and metrics for lead conversion. However, where does personalization fit into the broader scope of demand generation? Demand generation web use cases for personalization. Personalization plays a pivotal role in various aspects of demand generation: In lead nurturing, personalization is equally vital: Moreover, personalization is instrumental in lead acquisition efforts by delivering relevant experiences to all of your prospects. To effectively implement personalization, real-time insights into individual behaviors and interactions are essential. A comprehensive personalization solution should unify data from various channels and systems, enabling seamless cross-channel personalization. This includes “stitching” together anonymous and known user profiles, integrating data with complementary systems like CRMs and marketing platforms, and facilitating real-time omni-channel personalization. The key to successful personalization lies in understanding and addressing each individual’s unique needs and preferences. By adopting a customer-centric approach and setting clear objectives aligned with business goals, organizations can leverage personalization to enhance customer experiences, boost conversion rates, and drive measurable business growth. To execute a successful personalization strategy, organizations must: By following these steps and continuously optimizing personalization efforts, organizations can build stronger customer relationships, drive business growth, and maximize marketing ROI. Website personalization serves as the starting point for many companies embarking on their personalization journey. This entails ensuring that returning visitors encounter pages tailored to their previous experiences or recent purchases. It can also involve presenting new customers with product recommendations based on their current browsing session. The return on this initial investment can be substantial, with many companies witnessing a significant increase in conversion rates, sometimes by as much as 50% or more. For instance, a site converting 2% of visitors might see that figure rise to 3%, a dream scenario for digital marketers. Moreover, this boost in conversion rates can have far-reaching effects across marketing programs, leading to a reduction in overall customer acquisition costs. Tectonic now offers Personalization Implementation Solutions. The next stage in personalization maturity involves integrating a customer’s web and email experiences. This seamless connection between two major channels for customer engagement brings organizations closer to achieving an omni-channel personalization experience. Timely and relevant follow-up messages after a customer’s website visit or purchase can deepen relationships and enhance lifetime value without significant additional marketing expenditure. Finally, the ultimate goal is to extend personalization across all channels, ensuring consistent and tailored experiences wherever customers interact with your brand. However, achieving this can be challenging due to fragmented customer data across multiple channels, teams, and systems. An effective personalization solution should consolidate and synthesize this cross-channel information by maintaining unified customer profiles and enabling real-time omni-channel personalization. Testing is a crucial aspect of successful personalization efforts, allowing organizations to optimize campaigns and maximize engagement, conversions, and revenue. A robust personalization solution should facilitate A/B testing, measuring lift over control, evaluating impacts against specific goals, and filtering results by segment. Effective website personalization lays the foundation for broader personalization efforts across channels. By seamlessly integrating web and email experiences and extending personalization to all touchpoints, organizations can deliver tailored experiences that drive engagement, loyalty, and ultimately, business growth. By Tectonic’s Salesforce Marketing Platform Architect Shannan Hearne 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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Personalization With Customized AI-Driven Journeys

Personalization With Customized AI-Driven Journeys

AI-Enabled Triggers for Guiding Customer Journeys – Personalization With Customized AI-Driven Journeys Initiate timely and relevant customer experiences that seamlessly lead individuals through their purchasing journey. Employ AI-powered decision-making to identify the most suitable next steps for customers, offering personalized suggestions based on real-time behavior, historical data, and business-specific datasets such as pricing and inventory. Deliver predefined experiences, such as browsing or cart abandonment journeys, while utilizing real-time interactions to determine the optimal content, channel, or offer for each customer. Efficiently extract insights by harnessing behavioral data and advanced analytics to visualize cross-channel customer journeys for both individuals and segments, identifying and resolving key friction points. Elevate customer acquisition, loyalty, and lifetime value by crafting personalized, omni-channel journeys that align with both customer desires and business objectives. Enable trigger-based customer journeys that facilitate immediate responses to customer actions, whether in the physical realm, such as entering a store and connecting to Wi-Fi, or in the virtual space, like visiting a shopping website. The Role of AI in Elevating the Customer Journey AI significantly contributes to heightened customer satisfaction, ultimately leading to improved retention. Address customer pain points in their preferred language and provide solutions tailored to their needs based on purchasing history and previous interactions with customer service. AI’s Influence Across Customer Journey Stages At each stage of the customer journey, AI transforms experiences by delivering personalized interactions from awareness to post-purchase. This transformation is made possible through automation, predictive analytics, and intelligent virtual agents. Transformative Impact of Generative AI on Customer Journeys Generative AI, exemplified by advanced language models like GPT-4, has the potential to revolutionize customer journeys. These models automate communication and content creation, dynamically adjusting tone and style to match customer preferences. For instance, Grammarly’s tone detector adapts communication based on the recipient’s profile and interaction history. Continuous Iteration and AI in Customer Journey Mapping In the era of digitization, AI-driven personalization surpasses traditional customer journey mapping based on a few personas. Organizations must harness AI and machine learning to create personalized journeys that enhance user experiences. The iterative improvement process involves collecting comprehensive data, utilizing AI for analysis and insights, implementing changes, and evaluating results through key performance indicators. Netflix: An AI Success Story Netflix serves as a prime example of AI success, continuously analyzing user behavior and preferences to refine content recommendation algorithms. This approach enhances personalization, leading to increased customer engagement and satisfaction. Integrating Generative AI into Existing Systems To fully capitalize on generative AI, integration into existing systems and processes is crucial. This may entail developing APIs to connect AI tools with customer relationship management (CRM) systems and content management systems. Testing and Continuous Enhancement Implementing AI-driven personalization necessitates a robust testing and evaluation process. Clearly defined key performance indicators and analytics capabilities are essential for measuring effectiveness and making continuous improvements. Like1 Related Posts Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more Salesforce Data Studio Data Studio Overview Salesforce Data Studio is Salesforce’s premier solution for audience discovery, data acquisition, and data provisioning, offering access Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more Integration of Salesforce Sales Cloud to Google Analytics 360 Announced In November 2017, Google unveiled a groundbreaking partnership with Salesforce, outlining their commitment to develop innovative integrations between Google Analytics Read more

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Marketing Cloud Engagement

Personalization vs Privacy in Marketing

The marketing landscape is evolving rapidly, with brands increasingly relying on data to drive customer engagement. Personalization vs Privacy in Marketing. While organizations anticipate a surge in data sources, achieving a comprehensive view of customers remains a challenge for many. Privacy regulations like GDPR and changes in tech policies, such as Apple’s, have significantly impacted how marketers utilize data. Despite efforts to transition away from third-party data, many still partially depend on it, necessitating a shift towards zero- and first-party data. Marketers are exploring various strategies to adapt, including incentivizing customers to share information and investing in AI technologies to enhance customer experiences and operational efficiency. However, there’s a concerning decline in the proportion of marketers going beyond regulatory requirements to safeguard customer privacy. As customer preferences continue to evolve, bridging online and offline experiences remains a priority, with AI playing a pivotal role in integrating these channels seamlessly. This Tectonic insight highlights several key trends and challenges in the realm of marketing and customer engagement, particularly focusing on data utilization, privacy regulations, AI adoption, and the integration of online and offline channels. Here’s a breakdown of the main points: Overall, this insight highlights the complex landscape of modern marketing, where data, privacy regulations, AI, and omnichannel integration play crucial roles in shaping customer engagement strategies. Marketers must navigate these challenges while prioritizing customer privacy and delivering personalized experiences across various touchpoints. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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MC Personalization Tips and Tricks

MC Personalization Tips and Tricks

Salesforce Marketing Cloud Personalization, formerly Interaction Studio, offers incredible power for personalization. MC Personalization Tips and Tricks below will help you level up your game. Einstein Recipes: Enhancements and Challenges Multiple Dimensional Variations for Products in Einstein Recipes Einstein Recipes offer powerful and flexible tools for creating recommendations. However, the fourth step, Variations, falls short compared to other options. Currently, you can configure only a single Dimensional Variation. While multiple Item Types are available, once you select one, you cannot limit recommended products to specific numbers per category or brand. This limitation hinders control over product recommendations, especially for e-commerce sites with diverse catalogs. Unlike Dimensional Variations, multiple Boosters or Exclusions of the same type can be configured differently, which would be a valuable feature to add for Variations. Department Variation for Products in Einstein Recipes Einstein Recipes allow Dimensional Variations at the Category level, but only for primary categories. There is no option for Department (master category) level, which is limiting for e-commerce sites with broad category trees, such as: Recommendations with Category Variation set can still be dominated by similar products due to similar primary categories. Two solutions could address this: Price Reduction Ingredient in Einstein Recipes Triggered Campaigns in Journey Builder can target various events, including Catalog Triggers. Some triggers, like Product Expiring Soon, are available for Web with Einstein Recipes Ingredients. However, there is no Ingredient for the common e-commerce use case of Price Reduction. Marketing Cloud Personalization (Interaction Studio) has the required price and listPrice attributes for Triggered Campaigns. A workaround involves calculating price reductions externally and passing this information to a Related Catalog Object. More efficient solutions would be: Rating Count in Recipe’s Rating Exclusion Marketing Cloud Personalization offers Exclusions/Inclusions on Recipes to fine-tune recommendations. One option is to exclude/include items based on their rating, with an optional zero rating capture. It would be beneficial to include an option to filter based on rating count, allowing for: Currently, such filters can only be applied on the server side in the Template, which can limit recommendations. Having this feature at the recipe level would be more powerful. Abandoned Cart Retention Setting Marketing Cloud Personalization captures cart information for Einstein Recipes recommendations. However, cart content remains indefinitely unless managed proactively. A workaround involves a Web Campaign that checks cart age and pushes a clear cart action if necessary. A better solution would be a configurable option in MCP settings to automatically remove old cart data. Catalog Enhancements Full MCP Category Hierarchy Support for ETL Marketing Cloud Personalization can create a hierarchical tree of categories with automatic summing of views and revenue. However, this is currently possible only under specific conditions, such as having one Category per product and using a Sitemap format. This limitation is problematic, as ETL is often a better way to manage it. The Category ETL already provides detailed information using department and parentCategoryId attributes, but this data does not replicate the drill-down hierarchy in the Catalog UI or pass data from the bottom Category up. Ensuring feature parity between Sitemap and ETL would be beneficial. Segmentation Enhancements MCP Action Name Management Marketing Cloud Personalization captures actions from multiple sources but does not allow managing created actions. An option to view and remove unnecessary actions would improve user experience by reducing the number of options in the segmentation/targeting picklists. An even better solution would be to merge existing actions, preserving behavioral data after refactoring action names. MCP Hourly-Based Segmentation Rules Currently, segmentation rules in Marketing Cloud Personalization are based on days, limiting on-site campaign targeting. For example, to display an infobar for abandoned cart users, the current segmentation can only show users who have not performed a Cart Action today. Hourly-based segmentation rules would allow more precise targeting, showing users who have not performed a Cart Action in the last hour. Adding a picklist to choose between day or hour-based rules would enhance segmentation capabilities. Full MCP Catalog Export Marketing Cloud Personalization supports manual catalog export but only with limited data. The current export file lacks complete catalog data (e.g., promotable and archived attributes), making it unsuitable for ETL sources. An option to export the full catalog data, matching the ETL schema and including hidden items, would greatly benefit debugging and batch-modifying items for subsequent ETL import. Full MCP Catalog Metadata Visibility Marketing Cloud Personalization supports viewing custom attribute metadata in the Catalog but is limited to ETL updates. Extending this to built-in attributes and including origin and lastUpdated values for all sources (Sitemap, Mobile App, Manual update, API) would simplify debugging Catalog metadata issues, reducing admin/developer work and support tickets. ETL Enhancements External Email Campaign ETL Experience Name & ID External Email Campaign ETL allows passing behavioral data but is limited to Campaign ID and Campaign Name. To fully leverage this data in segmentation, it should also support Email ID and Email Name. Adding Experience ID and Experience Name fields to the ETL would enable targeted personalization, allowing segmentation on entire campaigns or specific emails within campaigns. External Email Campaign ETL Send Segmentation External Email Campaign ETL passes Send, Click, and Open data but does not support segmentation based on Send events. Enabling segmentation rules for Send events would unlock use cases like targeting Web or Push campaigns to users who received an email campaign but did not open it, fully leveraging cross-channel and real-time personalization. External Email Campaign ETL Unsubscription Event Type External Email Campaign ETL passes Send, Click, and Open data but cannot pass unsubscriptions. Including the Unsubscribe event would enable targeted campaigns like surveys about unsubscription reasons, win-back campaigns, or replacing email subscription prompts with other channel recommendations. By addressing these enhancements and challenges, Salesforce Marketing Cloud Personalization (Interaction Studio) can further improve its capabilities and provide more precise, effective, and user-friendly tools for personalized marketing. Reporting Enhancements: Direct Attribution at the MCP Campaign Level Current Reporting in Marketing Cloud Personalization (MCP) Marketing Cloud Personalization (Interaction Studio) offers various reports based on Activity, Results, and Visits. However, it

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Cloud Based Business Solutions

Data Strategies in AI

The demand for reliable data has been a longstanding requirement. Driven by the continuous pursuit of real-time personalization and improved business efficiencies. The advent of Generative AI has further intensified these needs, prompting analytics and IT leaders to strengthen their data foundations. Data Strategies in AI A significant 86% of analytics and IT leaders acknowledge that the effectiveness of AI’s outputs hinges on the quality of its data inputs. Encouragingly, technical leaders express confidence in their standing. Assessing factors such as data capabilities, processes, sponsorship, investment, and vision, more than a third of analytics and IT leaders categorize their data maturity as best-in-class. Despite this optimism, only 6% of these leaders admit to having data maturity below industry standards or nonexistent. This statistic may reflect the challenges of benchmarking maturity against peers or, at worst, an overconfidence in data strategy and capabilities. Data Strategies in AI In today’s fast-paced work environment, characterized by a flood of data and constant communications, individuals are grappling to keep up. Simultaneously, business leaders face mounting pressure to enhance productivity amid unpredictable economic conditions. The list of challenges continues to expand: An AI Data assessment offers several benefits, empowering organizations to: Four key strategies for AI impact are: vision, value-realization, risk, and adoption plans. 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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Data Collection

Improved Engagement with Salesforce Personalization

Salesforce Personalization: Transforming Engagement into Personal Connections. Gain improved engagement with Salesforce Personalization. In the current business environment, customers demand personalized experiences across various channels. They are seeking to be recognized and valued by the brands they choose. The absence of such tailored interactions can lead customers to opt for competitors who fulfill this expectation. Enter Salesforce Personalization to the rescue. Salesforce Personalization is a dynamic tool designed to enable companies to craft personalized experiences for their customers. By employing AI-driven automation, this solution caters to billions of individuals globally. By making each recipient feel valued and significant. And by capturing individual insights and delivering optimized experiences. Salesforce Personalization is instrumental in boosting conversion rates, enhancing engagement, and nurturing brand loyalty. How Salesforce Personalization Improves Engagement To comprehend how Salesforce Personalization operates, it’s essential to first define marketing ROI (Return on Investment). This metric gauges the effectiveness of a company’s marketing endeavors comparing the revenue generated against the campaign’s operational costs. Calculating marketing ROI empowers companies to identify the most successful campaigns and allocate resources accordingly. Salesforce Personalization initiates its process by capturing individual insights through comprehensive behavioral tracking, data aggregation, and affinity modeling. These insights are then processed by marketer-friendly, customizable algorithms that make real-time decisions in less than 30 milliseconds, ensuring relevance at a 1-to-1 level in every interaction. With Salesforce Personalization, companies gain the ability to synchronize engagement across all channels. Information gathered about a customer’s interactions on one channel can be utilized to enhance their experiences on the same channel or any other. This seamless integration results in a personalized customer experience, regardless of the current engagement channel. Furthermore, Salesforce Personalization empowers companies to conduct tests and analyses of experiences. With continuous A/B testing, reporting, and analysis, companies can optimize personalization campaigns and customer engagement strategies. This iterative process allows you to enhance your marketing ROI continually and deliver increasingly personalized experiences to their customers. Get improved engagement with Salesforce Personalization. Salesforce Personalization is as a targeted tool for companies to elevate conversion rates, amplify engagement, and cultivate customer loyalty. By capturing individual insights and delivering optimized experiences, it establishes a seamless, personalized journey for customers across all channels. With ongoing optimization and analysis, companies can refine their marketing ROI, delivering ever more personalized experiences. Connect with Tectonic today to explore how Salesforce Personalization can elevate engagement with your customers, community, constituents, patients, or anyone you communicate with. 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 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 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

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Salesforce AI Einstein Next Best Action

Salesforce AI Einstein Next Best Action

Salesforce AI Einstein Next Best Action is a feature designed to identify the most effective actions available to agents and customers in real-time. Operating as a recommendation engine powered by extensive data analysis, it facilitates a dynamic workflow aimed at optimizing the customer pipeline. Tailoring recommendations to specific individuals at opportune moments is made effortless with Einstein Next Best Action. This Salesforce Platform feature enables the configuration of business rules and filters to present the most suitable course of action for any user. It offers a diverse range of recommended actions directly accessible within Salesforce, enhancing decision-making processes. Salesforce AI Einstein Next Best Action for Personalization Personalizing the customer experience: Next Best Action (NBA) empowers organizations to customize their interactions with customers based on individual preferences, behaviors, and historical data. This fosters a more personalized and pertinent experience, ultimately boosting customer satisfaction and fostering loyalty. What is Einstein’s Next Best Action for upselling? NBA continuously evaluates real-time customer data to deliver personalized recommendations for the most effective actions to take, whether it involves cross-selling, upselling, or addressing a customer concern. These recommendations consider various factors such as customer history, product usage, and behavioral patterns. Salesforce AI Einstein Next Best Action Cost Is Einstein Next Best Action free? Einstein Next Best Action operates on a usage-based entitlement model. Every organization receives a monthly allotment of free Next Best Action requests. If usage exceeds this free allowance or any purchased entitlements, Salesforce communicates with the organization to discuss additional options for their contract. Next Best Action is a paid Salesforce product but also offers free usage for up to 5000 requests each month. What is the Next Best Action strategy? Next-best-action marketing, also known as best next action or recommended action, is a customer-centric marketing approach that assesses various actions applicable to a specific customer and determines the most favorable course of action. It’s a subset of next-best-action decision-making focused on optimizing customer interactions. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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