{"id":1340,"date":"2024-05-02T10:23:34","date_gmt":"2024-05-02T10:23:34","guid":{"rendered":"https:\/\/dotlabs.ai\/blogs\/?p=1340"},"modified":"2024-05-02T10:37:04","modified_gmt":"2024-05-02T10:37:04","slug":"maximize-engagement-salesforce-data-cloud-for-exceptional-customer-experiences","status":"publish","type":"post","link":"https:\/\/dotlabs.ai\/blogs\/2024\/05\/02\/maximize-engagement-salesforce-data-cloud-for-exceptional-customer-experiences\/","title":{"rendered":"Maximize Engagement: Salesforce Data Cloud for Exceptional Customer Experiences."},"content":{"rendered":"\n\n\n\n

In today\u2019s data-rich world, decoding and\nharnessing customer data to deliver tailored experiences poses a significant\nchallenge across industries. The amount of data created annually has grown\ntremendously, especially since 2010, predicting an even steeper curve in the\nyears ahead.<\/span>
<\/p>\n

Along with this remarkable growth, customer\ndata analysis complexities have followed the same pace over the last few years.\nThese heterogeneous data streams, sourced from several channels like e-commerce\nor social media, present a formidable challenge for most enterprises seeking\nconsolidation. Particularly within mid to large-scale companies, grappling with\nmultiple customer data sources such as CRM, Marketing Cloud, and B2C Commerce\nCloud aggregation and unification become markedly complex.<\/span><\/p>\n\n\n

Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s.<\/p>\n\n\n

<\/o:p><\/span><\/p>\n

\n\n<\/v:imagedata><\/v:shape><\/span><\/o:p><\/span><\/p>\n

Salesforce Data Cloud, a hyper-scale data\nplatform, comes into play to address all these challenges. It aims to\nfacilitate customer consolidation of data over different sources. More than\nthat, Data Cloud is crucial in extracting insights and leveraging AI\ncapabilities (using Salesforce Einstein) to create the most personalized\nexperiences for each individual who engages with your business.

<\/o:p><\/span><\/p>\n

How Data Cloud Operates:<\/span><\/h2>\n\n\n

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<\/span><\/p>\n

Data Sources:<\/span><\/span> <\/span>It defines any source where customer (and\nrelated) data is stored, and you can connect to Data Cloud. It could be:<\/o:p><\/span><\/p>\n

o  \n<\/span><\/span>Sales\/Service Cloud.<\/o:p><\/span><\/p>\n

o  \n<\/span><\/span>Marketing Cloud.<\/o:p><\/span><\/p>\n

o  \n<\/span><\/span>B2C Commerce Cloud.<\/o:p><\/span><\/p>\n

o  \n<\/span><\/span>File Cloud Storage (Amazon S3, Google Cloud\nPlatform, etc.)<\/o:p><\/span><\/p>\n

o  \n<\/span><\/span>Snowflake, Google Big Query.<\/o:p><\/span><\/p>\n

o  \n<\/span><\/span>Custom Applications (APIs & SDKs).

<\/o:p><\/span><\/p>\n

Connect:<\/span><\/span>  <\/span>Once you\ndefine your data source, you can use out-of-the-box connectors to connect to\nyour Data Cloud instance and start ingesting data. If no connector supports\nyour use case, you can leverage Ingestion API and\/or SDK to ingest data from\nyour custom data source.<\/o:p><\/span><\/p>\n

There are two different ingestion types:<\/o:p><\/span><\/p>\n

o  \n<\/span><\/span>Batch Ingestion:<\/span><\/span> <\/span>This involves processing data in predefined\nsets or batches. It typically occurs at scheduled intervals, processing a large\nvolume of data in one go.<\/o:p><\/span><\/p>\n

o  \n<\/span><\/span>Streaming Ingestion:<\/span><\/span> <\/span>This involves processing data in real-time or\nnear real-time, providing a continuous flow of data as it becomes available.\nFor example: Customer engagement data (page views, clicks on page, etc.)

<\/span><\/p>\n\n\n

Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s.<\/p>\n\n\n

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\n\n\n<\/w:wrap><\/v:imagedata><\/v:shape>Harmonize:<\/span><\/span> <\/span>Post connection, objects will be created\nfollowing the same schema defined in Data Sources. It is necessary to map those\nsource objects into Data Cloud entities (called Data Model\nObjects), aiming to define a comprehensive and unified view of customer\ninformation that consolidates data from different sources into a single model,\ncalled 360-customer data model.<\/o:p><\/span><\/p>\n

It is also critical in this phase to define\ncriteria and reconciliation rules to consolidate data from the customer in a\nunified individual entity within the data cloud. We can leverage identity\nresolution functionality to achieve this goal.
<\/span>
Identity Resolution:<\/span><\/span> <\/span>It is a process of linking and consolidating\ndata, following criteria and consolidation rules to create a unified and\ncomprehensive profile for a specific individual. Check the example below to\nillustrate a case scenario:<\/span><\/span><\/p>\n\n\n

Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s.<\/p>\n\n\n

The feature has two parts:<\/span>
<\/p>

o\u00a0\u00a0 <\/span><\/span>Matching Rules:<\/span><\/span>\u00a0<\/span>Where you can define which profiles to unify during the identity resolution process. Each matching rule contains one or more criteria, and profiles are matched when all criteria are satisfied. When you want to prioritize data consolidation, reduce the number of criteria to allow profiles to be matched more easily.<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Consolidation Rules:\u00a0<\/span><\/span>By defining matching rules, you can choose which criteria to prioritize for determining the most reliable customer field data. For instance, you can prioritize the most recent or updated value or specify which data source holds the highest priority among others.

<\/span><\/p>

Analytics and Insights:<\/span><\/h2>

After gathering and unifying data, Data Cloud lets you define and create multidimensional metrics from your entire digital state stored within. These metrics include\u00a0customer lifetime value (LTV), Most Viewed Categories,\u00a0and\u00a0customer satisfaction score (CSAT)\u00a0at profile, segment, and population levels.<\/span><\/p>

Those insights are categorized into two different types:<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Calculated Insights:<\/span><\/span>\u00a0Involve predefined computations and analyses applied to existing data to derive specific metrics or indicators. For instance, we can consider those metrics mentioned before (LTV, CSAT) as calculated insights.<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Streaming Insights:<\/span><\/span>\u00a0<\/span>Continuously processing and analyzing data in real-time or near real-time, offering immediate observations and predictions based on the latest information flowing into the system.

<\/span><\/p>

Act on Data:<\/span><\/h2>

After segmenting and building insights over customer data, it is possible to perform actions and send data for several external systems based on criteria you can define within Data Cloud. Two different functionalities are possible to leverage to achieve such a result:<\/span><\/p>

Activation Target<\/span><\/span>:\u00a0<\/span>Once the data segment is created, it is possible to set up an activation target to define where to publish this segmented data. Here are some options that you can configure on an activation target:<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>File Storage (Amazon S3, Google Cloud Storage, Azure Storage).<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>External Platform Account (Google Ads, Meta, Amazon Ads).<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Marketing Cloud.<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Data Cloud.

<\/span><\/p>

Data Action:<\/span><\/span>\u00a0<\/span>By triggering alerts or events based on streaming insights and engagement data, data action facilitates automation or data integration. Also, you can define criteria to filter when dispatching those events and which fields to include in the message. The supported targets are:<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Salesforce Platform Events (custom flows).<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Webhooks.<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Marketing Cloud.

<\/span><\/p>

Benefits of Embracing Data Cloud<\/span><\/h2>

o\u00a0\u00a0 <\/span><\/span>Comprehensive Customer Insights.<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Enhanced Targeting and Personalization.<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Optimized Sales and Marketing Strategies.<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Streamlined Data Processes and Workflows.<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Automation and Productivity Gains.<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Scalability and Agility.<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Predictive Analytics and Proactive Decision-Making.

<\/span><\/p>

When to Use It<\/span><\/h2>

o\u00a0\u00a0 <\/span><\/span>Consolidate data from different data sources.<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Provide a more personalized customer experience.<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Leverage data across the enterprise to forecast better.<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Provide a single view of your customer.<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Improve productivity through process automation.<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Access engagement data to trigger incredible real-time experiences for customers.

<\/span><\/p>

Final Thoughts:<\/span><\/h2>

Salesforce Data Cloud is more than a solution; it is a transformative force that presents boundless possibilities. It empowers companies to sculpt unmatched experiences from data riches. However, accessing its full potential demands strategic collaboration with certified specialists. Harnessing the right insights for a strategic transformation and profound business evolution sets the stage for unparalleled success in customer-centricity<\/span><\/p>

Learn more about the benefits of the cloud and its best practices in data engineering in our blogs. Follow these links to read more:<\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Future of Cloud Computing.<\/span><\/a><\/span><\/p>

o\u00a0\u00a0 <\/span><\/span>Best practices for data engineering.<\/span><\/a><\/p>\n\n\n\n

Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s.<\/p>\n\n\n

Dot Labs is an IT\noutsourcing firm that offers a range of services, including software\ndevelopment, quality assurance, and data analytics. With a team of skilled professionals,\nDot Labs offers nearshoring services to companies in North America, providing\ncost savings while ensuring effective communication and collaboration.

<\/o:p><\/span><\/p>

Visit our website: <\/span>www.dotlabs.ai<\/span><\/a>, for more information on how Dot\nLabs can help your business with its IT outsourcing needs.

<\/o:p><\/span><\/p>

\n\n\n\n<\/p>

For more informative\nBlogs on the latest technologies and trends <\/span>click\nhere<\/span><\/a>

<\/o:p><\/span><\/p>\n\n\n\n","protected":false},"excerpt":{"rendered":"

Elevate customer engagement with Salesforce Data Cloud. Learn how to harness data-driven insights and optimize strategies for exceptional experiences and business success. Explore the benefits and best practices in data engineering today.<\/p>\n","protected":false},"author":2,"featured_media":1342,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"pagelayer_contact_templates":[],"_pagelayer_content":"","footnotes":""},"categories":[2,5],"tags":[],"class_list":["post-1340","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-emergingtech","category-trends"],"yoast_head":"\nSalesforce Data Cloud Unusual Customer Experience | Dot Labs<\/title>\n<meta name=\"description\" content=\"Learn how Salesforce Data Cloud maximizes engagement for exceptional customer experiences through insightful data-driven strategies.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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