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Salesforce Data Cloud Explained
15May

Salesforce Data Cloud Explained

Salesforce Data Cloud, previously recognized as Salesforce CDP/Genie, made its debut at Dreamforce 2022, hailed by Salesforce as one of the most significant innovations in the company’s history. A hyperscale data platform built into Salesforce. Activate all your customer data across Salesforce applications with Data Cloud. Data Cloud facilitates the intake and storage of real-time data streams on a massive scale, empowering automated tasks that result in highly personalized experiences. Data can be sourced from diverse Salesforce data outlets, including Mulesoft, Marketing Cloud, and others, along with customers’ proprietary applications and data sources. Subsequently, it can dynamically respond to this real-time data by automating actions across Salesforce CRM, Marketing Cloud, Commerce, and more, inclusive of automating actions through Salesforce Flow. What is the Salesforce data cloud? Data Cloud is the fastest growing organically built product in Salesforce’s history (i.e. Salesforce built it themselves, not via acquisitions). Data Cloud could be described as the ‘Holy Grail of CRM’, meaning that the data problem that’s existed since the infancy of CRM is now finally solvable. Data Cloud is the foundation that speeds up the connectivity between different ‘clouds’ across the platform. However, Data Cloud is also a product that can be purchased. While not all Salesforce customers have licensed Data Cloud, being at the foundation means they are still taking advantage of Data Cloud to a degree – but this all becomes even stronger with Data Cloud as a personalization and data unification platform. What is the history of Data Cloud? Salesforce has gone through several iterations with naming its CDP product: Customer 360 Audiences → Salesforce CDP → Marketing Cloud Customer Data Platform → Salesforce Genie → Salesforce Data Cloud. In some instances, changes were made because the name just didn’t stick – but what’s more important to note, is that some of the name changes were to indicate the significant developments that happened to the product. Salesforce Data Cloud Differentiators Data Cloud, in itself, is impressive. While many organizations would consider it expensive, if you were to flip the argument on its head, by buying your own data warehouse, building the star schema, and paying for ongoing compute storage, you’d be looking to spend 5 to 10 times more than what Salesforce is charging for Data Cloud. Plus, data harmonization works best when your CRM data is front and center. There are other key differentiators that helps Data Cloud to stand out from the crowd: Is data cloud a data lakehouse? That means that Data Cloud is now not just a really good CDP, it’s now a data lake which will be used in sales and service use cases. But it also means that we can start to fundamentally move some of our higher-scale consumer products like Marketing and Commerce onto the platform. Is Snowflake a data Lakehouse? Snowflake offers customers the ability to ingest data to a managed repository, in what’s commonly referred to as a data warehouse architecture, but also gives customers the ability to read and write data in cloud object storage, functioning as a data lake query engine. What is the benefit of Salesforce data cloud? Data Cloud empowers Salesforce Sales Cloud with AI capabilities and automation that quickly closes deals and boosts productivity across every channel. It drives customer data from all the touchpoints and unifies it separately in individual customer profiles. Salesforce Data Cloud is a powerful data warehouse solution that allows companies to effectively manage and analyze their data. What is the difference between Salesforce CDP and data lake? Talking abut Salesforce CDP is a little bit like a history lesson. While a CDP provides a unified, structured view of customer data, a data lake, on the other hand, is more of a raw, unstructured storage repository that holds a vast amount of data (more than just customer data) in its native format until it’s needed. 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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May 15, 2023in Data, Generative AI, Mulesoft, Salesforce, Salesforce Data Cloud, Salesforce Einstein, Salesforce Flow, Salesforce Implementation Services, Salesforce Sales Cloud, Snowflake, Technology
Salesforce Flow
05May

Einstein GPT Integration with Flow and Data Cloud Now Available

Salesforce has recently unveiled exciting new capabilities for Flow, Einstein GPT Integration with Flow and Data Cloud. Introducing Einstein GPT and Data Cloud features to its growing family of automation tools. This development empowers everyday administrators, eliminating the need for extensive engineering teams to harness large datasets for automation purposes. The groundbreaking aspect lies in the ability to achieve this in real-time, using a user-friendly interface without the need for coding. Introduction to Einstein GPT: Einstein GPT builds upon ChatGPT technology, combining public and private AI models with CRM data within Salesforce. This allows users to pose natural-language prompts directly within Salesforce CRM, receiving AI-generated content that adapts continuously to changing customer information and needs. The learning capability of Einstein GPT ensures ongoing improvement based on user input, aligning with best practices. Einstein GPT for Flow: When integrated with Salesforce Flow, Einstein GPT enables users to create and modify automations through a conversational interface, simplifying the flow creation process significantly. This fusion lowers barriers for non-technical users, enhancing the overall experience with Flow Builder and ensuring adherence to best practices. Key benefits of Einstein GPT for Flow include: Pricing details for Einstein GPT products are pending confirmation, and Salesforce will soon announce pilot program dates to broaden accessibility. Data Cloud for Flow: Introduced at Dreamforce 2022, Salesforce Data Cloud, formerly Genie, facilitates highly personalized customer experiences in real-time. Serving as a command center for customer data, Data Cloud integrates real-time data streams with Salesforce data, powering Flow with actionable insights. By combining Data Cloud with Flow, users can automate complex workflows and trigger actions based on real-time changes without the need for extensive IT involvement. This approach streamlines the process of designing, building, and testing custom integrations, reducing the burden on IT teams. Key advantages of Data Cloud for Flow include: These announcements bring forth transformative capabilities, making data utilization more accessible and streamlining the automation process within Salesforce. The combination of Einstein GPT and Data Cloud for Flow opens up possibilities for creating personalized and interconnected customer experiences across different sectors. 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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May 5, 2023in Salesforce Data Cloud, Salesforce Einstein
Salesforce Big Data and Travel and Hospitality
03Apr

Utilizing Generative AI

Taking advantage of generative AI requires complete, unified, and accurate data, according to over half of IT leaders. Yet roadblocks remain. A recent survey found most IT leaders don’t have a unified data strategy and can’t integrate generative AI into their current tech stack. Technical requirements aside, generative AI also surfaces serious ethical considerations. Utilizing Generative AI. Nearly three-quarters of IT leaders are wary of biased or inaccurate results, yet fewer than a third consider ethical use guidelines critical. As an IT practitioner, it’s your job to understand the tech landscape and educate your organization about the power and risks of certain technology solutions, regardless of their application. Generative AI is no different. At this stage, you should be thinking about generative AI from a board-level perspective, looking beyond the near term and well into the future. What are all the risks and rewards? What are the ways your organization might win or lose? How will your people react or respond? How might generative AI make your organization more competitive and effective? Don’t assume anyone within your organization is thinking strategically about how or where generative AI should be applied. Developing a proprietary generative AI solution will take months to deliver (if not longer), but if done correctly, the resulting model would be highly secure and likely very impactful for your specific organization. Most organizations will lean toward buying or leasing a base model and fine-tuning as needed. This approach would still consume time and resources but be optimized for use cases and maintain a level of security. Generative AI focuses on creating new and original content, chat responses, designs, synthetic data or even images. It’s particularly valuable in creative fields and for novel problem-solving, as it can autonomously generate many types of new outputs. How can we use generative AI? Generative AI models can create graphs that show new chemical compounds and molecules that aid in drug discovery, create realistic images for virtual or augmented reality, produce 3D models for video games, design logos, enhance or edit existing images, and more. Which tasks uses generative AI? Generative AI or generative artificial intelligence refers to the use of AI to create new content, like text, images, music, audio, and videos. Generative AI is powered by foundation models (large AI models) that can multi-task and perform out-of-the-box tasks, including summarization, Q&A, classification, and more. Like1 Related Posts 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 3, 2023in Salesforce Einstein
data cloud and marketing cloud personalization
30Mar

Data Cloud and Marketing Cloud Personalization

Choosing the correct Customer Data Platform (CDP) for your organization is crucial for adapting to challenges and capitalizing on opportunities in the evolving marketing technology landscape. While AI, behavioral patterns, and infrastructure play pivotal roles in this decision-making process, it’s essential to understand the landscape. However, the same factors, including AI, behavioral habits, and infrastructure, can influence this decision. Data Cloud and Marketing Cloud Personalization together capture and utilize customer data. Selecting the right tools makes it easier to know and cater to your prospects and customers. Without them, you are firing into the darkness. You must understand the necessary infrastructure for a marketing technology team to meet challenges and leverage new opportunities. It integrates four essential AdTech (Advertising Technology) principles applicable to MarTech in the evolving landscape. The external market poses challenges, notably the discontinuation of third-party cookies by major browsers like Google. This shift impacts prospecting and underscores the significance of first-party data. The rise of AI, exemplified by technologies like ChatGPT and integrated into platforms like Salesforce’s Einstein, further complicates the landscape. The AI era raises concerns about data usage and collection, employment risks, and the ethical consideratins. Organizations rush to incorporate AI, with Salesforce introducing Einstein GPT shortly after the emergence of ChatGPT. In this dynamic environment, organizations grapple with managing diverse data sources, implementing AI/ML, and ensuring privacy. AdTech principles become imperative in MarTech for effective targeting, personalization, and measurement. The focus shifts to the role of a Customer Data Platform (CDP) within the MarTech stack. Distinguishing between Data Management Platforms (DMPs), CDPs, Data Warehouses, and Data Lakes sets the stage. The article explores three CDP types: Enterprise, Event-Based, and Real-Time Personalization. The significance of a Customer Data Platform (CDP) like Salesforce’s Data Cloud cannot be stressed enough. Bear in mind there are differences between DMPs, CDPs, Data Warehouses, and Data Lakes, each with their own use cases. And for your situation a DMP, Data Warehouse, or Data Lake might be required. Salesforce’s CDP platform undergoes scrutiny, aligning its features with AdTech principles. Read more about Tectonic’s thoughts on Data Cloud here. The CDP’s contribution to targeting, personalization, and both deterministic and probabilistic measurement is detailed. Salesforce’s Data Cloud and Marketing Cloud Personalization (Interaction Studio) emerge as solutions catering to distinct needs. In conclusion we must underscore the criticality of choosing the right CDP for organizational resilience, superior customer experiences, and addressing privacy concerns. A robust infrastructure facilitates efficient data management, collaboration, and scalability, empowering organizations to make informed decisions with AI/ML and business intelligence. #data-cloud-and-marketing-cloud-personalization Like2 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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March 30, 2023in Data, Enterprise, Google, Salesforce, Salesforce Data Cloud, Salesforce Marketing Cloud, Technology
Salesforce CDP
21Feb

When Was Salesforce CDP Released?

Customer Data Platforms (CDPs) allow marketing organizations to have a single and complete source of truth around their customer data.  Salesforce CDP Released to address this need. Salesforce CDP Released In May 2021, Salesforce launched their own Customer Data Platform (CDP), an enhancement of the product formerly known as Customer Audience 360 (CA360). The customer data platform (CDP) is one of the fastest-growing categories of marketing technology today. Customer Data Platform, formerly Salesforce CDP, helps you connect and unify customer data. Across systems, power the connected and personalized marketing experiences that your customers expect, and analyze cross-channel engagement behavior. Activate loyalty, transaction, engagement attributes, and more from Customer Data Platform. Marketers can send additional customer profile information to marketing platforms, like Marketing Cloud Engagement, to enhance personalized communications. As a developer, you can use the CDP Python connector to leverage the power of Query API to extract data from Customer Data Platform into your environment. What is the difference between Salesforce CRM and CDP? Ultimately the difference between a CDP and CRM comes down to who primarily uses these tools and how each collects data. In short, CRMs organize and manage customer-facing interactions with your team while CDPs collect data from across your tech stack to understand customer behavior and traits more broadly. Is Salesforce Genie the same as CDP? Although Salesforce CDP and Genie are both beneficial tools for organizations, they have different functions. Salesforce CDP is certainly a superior option if you’re trying to increase your marketing and sales activities. Salesforce CDP Is Now Customer Data Platform The name change doesn’t change the functionality of Customer Data Platform. Is Salesforce CDP now data cloud? Salesforce Data Cloud is not a replacement for formerly Salesforce CDP – you will still be able to purchase, and use, Salesforce CDP. No doubt that there’s plenty on the horizon for Data Cloud, arguably Salesforce’s hottest product. Salesforce’s CDP offering was has been renamed a few times: Customer 360 Audiences → Salesforce CDP → Marketing Cloud Customer Data Platform → Salesforce Data Cloud. Content updated November 2023. Like1 Related Posts CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more Salesforce Government Cloud: Ensuring Compliance and Security Salesforce Government Cloud public sector solutions offer dedicated instances known as Government Cloud Plus and Government Cloud Plus – Defense. 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 Tectonic’s Successful Salesforce Track Record Salesforce Technology Services Integrator – Tectonic has successfully delivered Salesforce in a variety of industries including Public Sector, Hospitality, Manufacturing, Read more

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February 21, 2023in Salesforce Data Cloud
Salesforce CDP
16Nov

CDP Salesforce

What is a CDP in Salesforce? A customer data platform (CDP) is an application that gathers, organizes and enriches data from multiple sources, while being marketer-centric, versus sales/service-centric like a CRM. It is a key enabler to organizations that want to maximize return on all the data they have collected and own around their customers. The CDP combines all the data from all the sources in real time so you can make hyper-personalized offers and experiences that feel like magic. This means connecting all the customer data back to email engines, demand-side platforms, and content management systems. What is the difference between Salesforce Genie and CDP? SFDC CDP follows the audience segmentation + data activation protocols. Salesforce Genie allows for data unification and identity resolution. Is CDP same as data cloud? Data Cloud shares the same purpose and benefits that CDPs deliver – however Data Cloud is not the same as the technology that was formerly Salesforce CDP. Data Cloud takes CDP’s capabilities, and extends the benefits right across the “Customer 360” (i.e. Salesforce’s product portfolio). What can a Customer Data Platform do for your brand? CDPs connect customer data so every team has insight into how a customer interacts with you on every platform. 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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November 16, 2022in Data, Google, Salesforce, Salesforce Hospitality Travel and Transportation, Salesforce Implementation Services, Technology
Salesforce Genie
31Oct

Genie Salesforce

Salesforce Genie is a real-time platform that synthesizes customer data, enabling organizations to meet their customer requirements and expectations as and when they change. What is the difference between Salesforce Genie and CDP? Data activation protocols are followed by the Salesforce Customer Data Platform. This helps in order to segment the audience and activate the data. With Genie, you are able to unify your data and resolve customer identity issues. What is the Genie platform? Genie is an online sales platform that allows you to leverage the strengths of traditional marketing. With online marketing and direct mail into successful multi-channel campaigns. Combine data, marketing and tracking in one place. Always with a team of data marketing experts only a phone call away for support. It makes it easier for businesses to decode and make sense of all their data from all systems, channels, or data streams. It also integrates data from each step in the customer’s experience into a unified customer profile record. Therefore helping create one single view of the customer. Have you ever called a support line and spent unnecessary time talking the agent through your purchase history to get the right level of support? Or when an ecommerce site states the shirts that you have been eyeing for are finally in stock, but they’re still out of stock when you get to the store? These are familiar scenarios for most of us. We expect every experience to be connected and updated in real time. When they aren’t, we’re disappointed. Salesforce Genie was first announced by Salesforce at Dreamforce ‘22. 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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October 31, 2022in Data, Salesforce
Marketing Cloud Intelligence
01Jun

Salesforce Marketing Cloud Intelligence Explained

What is Marketing Cloud Intelligence? Salesforce’s Marketing Cloud Intelligence, formerly known as Datorama, is an analytics tool designed to integrate and visualize marketing performance data across various platforms. It caters to analytically driven marketers and seasoned analysts, providing an easy-to-use interface while offering connections to traditional BI tools like Tableau. Marketing efforts generate extensive data across multiple platforms, and Marketing Cloud Intelligence consolidates all these marketing tools into a centralized source. It serves as a comprehensive solution for reporting, measurement, and optimization. Market intelligence involves gathering real-time data from the market to understand customers, trends, behaviors, and more, enabling a company to stay competitive and meet market demands. By leveraging out-of-the-box connections, Marketing Cloud Intelligence seamlessly links platforms like Google, YouTube, Instagram, and others without the need for complex coding. The tool, now known as Marketing Cloud Intelligence, reveals trends, tracks progress against goals, and quantifies the ROI of marketing initiatives once connected. The system features a connected library of over 170 connectors for acquiring data from major advertising, commerce, CRM, and database vendors. The unique universal connector, powered by AI, allows effortless connection of any data stream within minutes, even from sources lacking an API connection. Marketing Cloud Intelligence addresses the challenge of data consistency by providing an out-of-the-box marketing data model. It helps organize data into a clear and consistent taxonomy, enriching it with naming conventions, data classification, and automated maintenance alerts for trustworthy decision-making. Beyond reporting and dashboards, Marketing Cloud Intelligence, with the assistance of Einstein, provides actionable insights. Marketers can select a KPI to improve and create a perpetual pipeline of AI insights, addressing overarching questions or specific areas like reducing spend or analyzing creative impacts. What can marketers do with Marketing Cloud Intelligence? Marketers can efficiently compile multiple sources of data in Marketing Cloud using various KPIs, creating at-a-glance and visually appealing dashboards and reports. Marketing Cloud Intelligence, powered by Datorama, facilitates the organization and analysis of diverse data within Marketing Cloud. What does Marketing Cloud Intelligence do? Marketing Cloud Intelligence integrates data from marketing and advertising platforms, web analytics, CRM, e-commerce, and more. It offers a unified view for optimizing campaign performance and real-time insights. The tool optimizes marketing spend and customer engagement with unified performance data, automated reporting, and AI-driven insights. Why is marketing intelligence important in Salesforce? Marketing intelligence tools help businesses gather and analyze market data. CRM and CDP tools, such as Salesforce Marketing Cloud Intelligence, unite data from disparate sources to provide a fuller picture of their customers and the 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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June 1, 2022in Data, Google, Salesforce, Salesforce Marketing Cloud, Technology
Salesforce Data Cloud
11Apr

Drive Sales and Service With Real Time Data

Sales and Service Personalization: drive sales with real time data Enhance customer and prospect interactions by integrating real-time engagement data directly into your sales and service consoles. Provide service teams with the ability to proactively address queries and deliver effective case resolutions by swiftly accessing a customer’s recent interactions across diverse business touchpoints. Empower your sales teams with deeper insights into an account or prospect’s purchase journey, enabling more relevant conversations and offers based on real-time knowledge of consumed content, viewed products, or time spent on your site. Know your buyers. Attain a comprehensive view of your buyers by combining 1st and 3rd party data with the robust capabilities of Salesforce’s industry-leading Customer Data Platform (CDP). Imagine closing prospects instantly. With real-time data, it’s possible! Real-time sales data enables you to identify recent changes, such as mergers, acquisitions, new job openings, or promotions. Equip your sales team with a competitive advantage, allowing them to promptly contact potential customers and initiate sales activities. So, what is real-time data, how does it work, and how can you implement it without a complex data infrastructure? This article explores all these aspects and highlights the benefits of utilizing accurate B2B data for real-time sales. What is real-time data? Real-time data refers to immediate and continuous access to information about sales activities, customer interactions, and market trends. For your sales and marketing teams, this means capturing, analyzing, and utilizing up-to-date data to make informed decisions, enhance sales processes, create personalized experiences, and strengthen customer relationships. Real-time data is crucial because it offers numerous benefits for B2B businesses. This insight will explore some tangible benefits that real-time data can provide for your company: Access up-to-the-minute information on customer behaviors, preferences, and buying patterns, allowing your B2B sales team to engage with prospects immediately. Real-time insights into events like funding, promotions, or team expansions can trigger timely sales activities, such as emails, LinkedIn messages, or call invitations. Immediate updates from real-time sales insights enable businesses to adjust pricing based on market fluctuations or competitive moves. Real-time data collection helps track competitor pricing, customer demand, and inventory levels, allowing for optimized pricing strategies and instant adjustments with minimal effort from your sales team. Incorporate robust key management for data security to safeguard sensitive information and avoid additional risks. When a prospect expresses interest or takes specific actions, such as visiting a website or filling out a form, you can immediately engage with them. Define sales triggers and actions, such as emailing to schedule a demo after a prospect visits your pricing page. Real-time data processing allows for automated nurturing of prospects, eliminating the need for manual tracking and outreach. Gain real-time actionable insights into sales performance, leading to accurate sales forecasting. Sales managers can monitor sales data in real time, track progress against targets, adjust strategies, and manage pipeline visibility for more precise financial projections aligned with future financial planning. Instant data offers the opportunity to personalize customer interactions more effectively. Access real-time data analytics on customer preferences, purchase history, and previous interactions to tailor relevant recommendations and provide a personalized customer experience. Real-time data analysis provides instant visibility into sales performance metrics. Sales representatives can monitor their performance, including call activity, conversion rates, and revenue generated, in real time. Immediate feedback enables reps to course-correct, improve sales techniques, and achieve better results. By monitoring real-time market trends, competitor activities, and customer feedback, sales managers can make data-driven decisions, adjust sales strategies, and seize emerging opportunities. Business intelligence tools offering real-time data services help sales teams promptly address customer issues or concerns. By tracking customer behavior, feedback, complaints, and inquiries in real time, sales reps can proactively contact customers and help resolve issues. How does real-time data work? Real-time data involves capturing specific actions on the go, such as customers’ activities on your website or offsite, like visiting sales pages, checking your company’s LinkedIn profile, or exploring similar sites. Events are collected before storing any information, allowing for instant management of sales data and predictive analytics. Marketing and Sales Use of Real-Time Data: Updating lead records in real time results in better sales performance and cost savings across the entire business. Real-time big data can be used in various ways for better business decisions, such as: Examples of Real-Time Data: Real-time intent data helps identify potential customers actively researching or showing interest in products like you are selling. This data can be gathered from various sources, including website tracking, social media monitoring, and content consumption patterns. Ultima used a real-time data solution to access intent data and direct dials, resulting in ROI in just 8 weeks. Real-time data is a valuable asset for B2B businesses, offering timely opportunities, dynamic pricing, immediate lead engagement, accurate forecasting, personalized customer interactions, instant sales performance insights, agile sales strategies, and prompt issue resolution. Understanding how real-time data works and leveraging it effectively can significantly enhance the performance and efficiency of your sales and marketing teams. How do you use data to drive sales? What is an example of a data-driven sales? A B2B company that manufactures and sells industrial equipment can use a data-driven approach that involves analyzing purchasing data from their CRM, tracking industry trends, and using customer feedback surveys to understand what customers truly value. To drive sales with real time data, you need a tool like Salesforce and Salesforce Data Cloud. A real-time data sales strategy is a strategy that focuses on delivering immediate responses from customers. The methodology of real time selling is a way for brands to interact with their customers using stuff that’s actually happening at that time. The real time sales are based on insights into a customer’s online actions. The insights are analyzed and utilized quickly with AI. Drive sales real time data. 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

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April 11, 2022in Einstein Insights, Salesforce, Salesforce Commerce Cloud, Salesforce Sales Cloud, Salesforce Service Cloud
Salesforce Marketing Cloud Advertising Studio
04Oct

What is the Difference Between a CRM and a DMP?

A DMP uses first-, second-, and third-party data, stored temporarily, creating an audience profile. Data is obtained from various online and offline sources, and mobile sources. A CRM system is typically managed by a sales team, with limited data integration. Is CRM a DMP? While a DMP uses anonymous, third-party data, a CRM and a CDP use first-, second-, and third-party data. Goal. DMPs are built for prospecting, CRMs are built to manage and nurture customers, and CDPs help engage and personalize all phases of the customer experience. Is Salesforce a DMP? Salesforce DMP, called Audience Studio, is a platform that collects, stores, organizes, and centralizes data from different sources, own or external. It works in real time, unifying user data collected from multiple sources into a single profile for each customer. Salesforce proper, the database, is a CRM, not a DMP. Who uses DMP? Marketers who are getting started with audience segmentation for digital advertising can get the most utility out of a DMP. A DMP organizes all the data collected about a prospect or customer. Do you need a DMP? Use a DMP if you want to build marketing campaigns for audiences that are unfamiliar with your business. DMPs are best for this because of their use of third-party data. They can give you access to audiences that you don’t know. Why is CDP better than DMP? DMPs are effective for digital channels and audience segmentation. CDPs, on the other hand, are beneficial for social media websites, offline interactions, and insights into customer needs and purchase behavior. 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 4, 2021in Data, Salesforce, Salesforce Data Cloud
Salesforce CDP Explained
29May

Salesforce CDP Explained

What is a Customer Data Platform (CDP)? A Customer Data Platform (CDP) is one of the most transformative tools in modern marketing. Salesforce CDP Explained. If you’re exploring whether your business needs a CDP and how to begin using one, this guide will walk you through the essentials. CDPs have quickly become a go-to solution in marketing, popping up in reports and strategies everywhere. According to the 2020 State of Marketing Report, 86% of marketers who use CDPs are maintaining or increasing their usage, making many companies wonder: Do we need a CDP too? This insight serves as your step-by-step guide to help you determine whether your business should invest in a CDP, and how to successfully implement one for smarter marketing. What is a CDP? A Customer Data Platform (CDP) is a sophisticated piece of marketing technology designed to collect and organize customer data from various sources into centralized profiles. It helps businesses manage and draw actionable insights from data in real time, making it easier to personalize customer interactions. A typical CDP includes tools for customer data management, marketing automation, multichannel campaign execution, and real-time interaction management. It’s particularly useful when businesses need a database of user-level data to understand customer behaviors across touchpoints. Why Does Your Business Need a CDP? Salesforce CDP Explained CDPs excel in four core tasks: collecting, unifying, activating, and analyzing data. Introducing Salesforce’s CDP: Data Cloud Salesforce’s Data Cloud is a powerful CDP that integrates with Customer 360 to provide real-time customer profiles. It collects and unifies customer data in real time, ensuring businesses can deliver personalized customer experiences and foster stronger relationships. Data Cloud is scalable and designed for businesses of all sizes, with built-in security, compliance, and privacy features through Hyperforce. Benefits of a CDP Beyond basic segmentation, CDPs offer three major benefits: CDPs vs. CRM vs. DMP It’s important to understand the distinction between different data tools. While CRMs focus on managing customer relationships and interactions, and Data Management Platforms (DMPs) handle anonymous data for targeted advertising, CDPs are designed to unify and activate first-party data for personalized marketing. How to Choose a CDP When selecting a CDP, focus on two key areas: insights and engagement. Some CDPs specialize in integrating and analyzing customer data (insights), while others focus on delivering real-time personalized experiences (engagement). Salesforce’s Data Cloud combines both capabilities, offering real-time insights and activation to power personalized experiences across channels. To choose the right CDP for your business, ask these questions: Success Stories with CDPs CDPs have transformed the way businesses engage with their customers. One example involves a regional food and convenience store chain that implemented a CDP to enhance personalized digital experiences. By using customer data to tailor marketing emails and online interactions, the business saw a 16% increase in conversion rates on one of its key products. Getting Started with a CDP CDPs are essential tools for businesses looking to unify customer data, personalize marketing, and drive smarter marketing strategies. To get started, consider building a business case for CDP adoption, assembling a cross-functional team, and researching the right CDP to fit your organization’s needs. The journey to smarter, data-driven marketing begins with the right CDP. Make sure to explore Salesforce’s Data Cloud and other leading platforms to find the best fit for your organization’s growth and success. Content updated April 2023. 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 29, 2021in Data, Hyperforce, Marketing Automation, Salesforce, Salesforce Data Cloud, Technology
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
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