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First-Party vs. Third-Party Cookies

First-Party vs. Third-Party Cookies

First-Party vs. Third-Party Cookies: Key Differences and Implications First-party and third-party cookies play distinct roles in the online experience, particularly in marketing and user engagement. While they share some similarities, their creation, functionality, and reputation differ significantly. What Are Cookies? Cookies are small data files stored on a user’s device to track activity and save information from a website visit. They enhance browsing by personalizing experiences—for example, saving login credentials, remembering preferences, or enabling targeted advertisements. When a user inputs their ZIP code to check the weather or adds items to a shopping cart, cookies store this information for future convenience. Cookies fall into two main categories: first-party and third-party. First-Party Cookies: The User-Friendly Helper First-party cookies are created by the website a user is actively visiting. They enhance the experience by tracking activities such as: These cookies are widely regarded as user-friendly because they focus on improving usability and personalization for the specific site being visited. Third-Party Cookies: The Advertising Workhorse Third-party cookies are set by domains other than the one a user is browsing. Often introduced via scripts or tags, these cookies are typically used for purposes such as: Unlike first-party cookies, third-party cookies have a reputation for being invasive. These persistent cookies remain on a device until deleted and can track users across multiple websites, enabling advertisers to deliver highly targeted campaigns. Do Second-Party Cookies Exist? Second-party cookies involve data-sharing partnerships between companies. For instance, an airline might share first-party data with a car rental service to promote offers to shared customers. While this collaboration facilitates personalized marketing, second-party cookies are more accurately described as shared first-party data rather than a distinct type of cookie. Key Differences Between First-Party and Third-Party Cookies Aspect First-Party Cookies Third-Party Cookies Created By The website a user is visiting External domains added via scripts or tags Purpose Improve user experience (e.g., preferences, login) Primarily used for advertising and tracking Reputation Positive due to usability benefits Often viewed negatively for privacy concerns The Future of Cookies: What’s Next? Growing privacy concerns and stricter regulations are driving changes in cookie usage. Many browsers, including Apple’s Safari and Mozilla’s Firefox, now block third-party cookies by default. Google Chrome has also committed to phasing out third-party cookies, with its Privacy Sandbox APIs offering more user control over tracking. As the reliance on third-party cookies wanes, advertisers and publishers are shifting toward alternative strategies, such as: Last Updated: July 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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public sector and tribal governent

What is BI in Salesforce?

Salesforce BI helps to create fast, digestible reports to help you make informed decisions at the right time. Salesforce Einstein is a leading business intelligence software solution that will help streamline your operations. Read on in this insight to learn how Salesforce BI capabilities including Tableau rank in the Gartner Magic Quadrant. Make the right decision every time using analytics that go beyond business intelligence software. See why Gartner named Salesforce (Tableau) a Leader in the Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms for the 11th consecutive year. Data and analytics leaders must use analytics and BI platforms to support the needs of IT, analysts, consumers and data scientists. While integration with cloud ecosystems and business applications is a key selection requirement, buyers also need platforms to support openness and interoperability. Analytics and business intelligence (ABI) platforms enable less technical users, including business people, to model, analyze, explore, share and manage data, and collaborate and share findings, enabled by IT and augmented by artificial intelligence (AI). For several years, the Magic Quadrant for Analytic and Business Intelligence Platforms has emphasized visual self-service for end users augmented by AI to deliver automated insights. While this remains a significant use case, the ABI platform market will increasingly need to focus on the needs of the analytic content consumer and business decision makers. To achieve this, automated insights must be relevant in context of a user’s goals, actions and workflow. Many platforms are adding capabilities for users to easily compose low-code or no-code automation workflows and applications. This blend of capabilities is helping to expand the vision for analytics beyond simply delivering datasets and presenting dashboards. Today’s ABI platforms can deliver enriched contextualized insights, refocus attention on decision-making processes and ultimately take actions that will deliver business value. In addition to the increasing consumer design focus trend, we see other key market trends, including the need for improved governance of analytic content creation and dissemination, and the demand for a headless, open architecture. For example, a headless ABI platform would decouple the metrics store from the front-end presentation layer, enabling more interoperability with competitive products. ABI platform functionality includes the following 12 critical capabilities, which have been updated to reflect areas of market change, differentiation and customer demand: Gartner added three new critical capabilities as part of our metrics store evaluation criteria this year:  ABI platforms have always been about measurement. For decades, the slicing and dicing of measures by their dimensional attributes was synonymous with the act of performing business intelligence. However, over the last decade, the focus on metrics and measurement was overshadowed by data visualization. As data visualization became the most conspicuous capability, some business executives began to conflate ABI platforms with data visualization — as if ABI platforms are glorified chart wizards. This misconception minimizes much of the work performed and the business value delivered by ABI platforms. Establishing metrics stores as a critical capability to execute makes it clear that defining and communicating performance measures throughout an organization is one of the key purposes of an ABI platform. Analytics collaboration is a combination of many features (such as Slack/Teams integration, action frameworks) that collectively improve an organization’s ability to make decisions with consensus. Data science integration reflects the increasing likelihood that a business analyst may want to use data science to test certain hypotheses, and that data scientists will need to leverage features such as data prep and data visualization. In addition, Gartner is changing “catalogs” to “analytic catalogs” to emphasize a set of requirements that are not being met by ABI platform vendors today. Most large enterprises have thousands of reports built across multiple ABI platforms, but consumers in these organizations have no easy way to access these reports. The name change to analytic catalogs reflects the need for ABI platform vendors to deliver analytic content with the consumer in mind. Three critical capabilities were removed from our evaluation criteria: security, natural language generation (NLG; rolled into data storytelling) and cloud analytics (which will no longer be considered a platform capability, but instead a go-to-market strategy covered in the Magic Quadrant). And one of the security sub-criteria, about the granularity of authorization (e.g., row-based security) has been moved to the enterprise reporting capability. Salesforce (Tableau) Tableau, a Salesforce company, is a Leader in this Magic Quadrant. Its products are mainly focused on visual-based exploration that enables business users to access, prepare, analyze and present findings in their data. CRM Analytics, formerly Tableau CRM, provides augmented analytics capabilities for analysts and citizen data scientists. Tableau has global operations and serves clients of all sizes. In 2022, Tableau reinforced its augmented consumer vision to provide contextualized insights with deeper integration with Salesforce Data Cloud. IT also improved decision intelligence by bringing domain-aware insights into action with Revenue Intelligence and other Salesforce-native apps. The extensible design and x-platform integrations (Salesforce Flow, MuleSoft, UiPath and Looker) further enable composable analytics to bring insights into workflow with agility. Strengths Cautions 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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marketing cloud utm parameters

What Are UTM Parameters in Marketing Cloud

What Are UTM Parameters in Marketing Cloud? UTM parameters are essential for tracking the effectiveness of your marketing messages by linking user clicks to actions on your website within Marketing Cloud. Once set up, the Marketing Cloud Engagement tool automatically adds these parameters to the URLs in your messages, enabling detailed performance tracking. You can track five key UTM parameters: source, medium, campaign, term, and content. These parameters are captured in Google Analytics reports, offering insights into your marketing efforts, such as total goal conversions, bounce rate, and average time spent on your site. What is a UTM Code? A UTM (Urchin Tracking Module) code is a text string appended to a URL to help monitor the performance of digital marketing campaigns. UTM codes include up to five key parameters: Campaign, Source, Medium, Content, and Term. UTM Parameter Channel Support: Example URL with UTM Parameters: arduinoCopy codehttps://www.example.com?utm_source=sfmc&utm_medium=email&utm_campaign=TestCampaign&utm_term=MyLink123&utm_content=123456&utm_id=f521708e-db6e-478b-9731-8243a692c2d5&sfmc_id=245678&sfmc_activityid=598741568 Parameter Breakdown: For more on UTM parameters, refer to the Google Analytics documentation. Configuring UTM Parameters in Marketing Cloud Engagement In Google Analytics 4 (GA4), UTM parameters are automatically appended to links in all sent messages unless the domain or subdomain is not on the allowlist in Journey Builder Settings. They will also not apply if click tracking is disabled. Adding UTM Parameters in Salesforce To track UTM parameters in Salesforce, follow these steps: Tracking UTM Parameters in Salesforce There are four primary methods to track UTM parameters and attribution data within Salesforce: Content updated March 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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salesforce integrations

Salesforce Integrations

How do you make Salesforce even better? Integrate it with all the third party apps you already use. From productivity to marketing to collaboration and beyond, now you can connect your Salesforce to the other tools you need to run your business. MuleSoft is Salesforce’s integration and automation technology and offers connectivity solutions for all of your apps. Learn more about Salesforce integrations. Streamline your team’s workflow and increase productivity by syncing G Suite by Google Cloud with Salesforce. Increase team collaboration and efficiency with the Slack and Salesforce integration. Increase sales while generating accurate financial data by integrating Quickbooks and Salesforce. Make it easier to manage email lists and contact records by connecting directly MailChimp to Salesforce. Target and engage the right buyers and save valuable time with the LinkedIn and Salesforce integration. Connect DocuSign to Salesforce and send, sign and track agreements and approvals on any device. Integrate Jira and Salesforce and make it easier to monitor the progress of your projects. Use the HelloSign integration to simplify the process for preparing and tracking e-signature documents. Build customer apps lightning fast, with the Salesforce and CodeScience integration. Connect ActiveCampaign and Salesforce to accelerate business growth with automated one to one experiences that connect across all channels and through the entire customer lifecycle. Sync documents to keep files updated and organized, with the Dropbox and Salesforce integration. This is just the beginning of the ways that integrating Salesforce with your other systems can increase employee productivity, automate data transfer, reduce human error, and make everyone happier. If you have questions about integrating your systems with Salesforce, contact Tectonic today. 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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Box and Salesforce Integration

What is Box and Salesforce integration? Together, Box and Salesforce integration bring you seamless solutions that make it easy for teams to securely collaborate on the most critical content in Box, without leaving Salesforce. It easily connects with other Apps to share and store the data. Box allows users to create, edit, update, and share files/folders with Salesforce. It has a highly secured authentication process and a customizable user permission to access the files/folders. Your teams and customers expect amazing digital experiences, no matter what tools they use — which means you must deliver a consistent content experience across every app. Together, Box and Salesforce bring you seamlessly integrated solutions. The result? Better customer engagements, faster resolution on support cases, and seamless signatures so organizations can quickly go from quote to cash. Content is at the core of business today — and a driving force for your sales teams. Our integration empowers sales reps to collaborate on content directly in Salesforce, while your organization’s documents are centralized in Box to streamline processes, engage customers, and accelerate sales cycles. With Box for Salesforce, account teams can easily and securely access and share relevant files from any device, no matter if they’re at home, in the office, or out in the field. 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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Roles in AI

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 Elm furniture store on University Avenue in Palo Alto. A group of artificial intelligence enthusiasts within Salesforce, seeking to enhance the impact of machine learning models, embarked on this mission two years ago. While shoppers checked out furniture above, they developed a system to automate the creation of machine learning models. Thus Salesforce’s Quest for AI for the Masses started. Despite being initially named after the Transformers leader, the tie-in was abandoned, and Salesforce named its AI program Einstein. This move reflects the ambitious yet practical approach Salesforce takes in the AI domain. In March, a significant portion of Einstein became available to all Salesforce users, aligning with the company’s tradition of making advanced software accessible via the cloud. Salesforce, although now an industry giant, retains its scrappy upstart identity. When the AI trend gained momentum, the company aimed to create “AI for everyone,” focusing on making machine learning affordable and accessible to businesses. This populist mission emphasizes practical applications over revolutionary or apocalyptic visions. Einstein’s first widely available tool is the Einstein Intelligence module, designed to assist salespeople in managing leads effectively. It ranks opportunities based on factors like the likelihood to close, offering a practical application of artificial intelligence. While other tech giants boast significant research muscle, Salesforce focuses on providing immediate market advantages to its customers. Einstein Intelligence The Einstein Intelligence module employs machine learning to study historical data, identifying factors that predict future outcomes and adjusting its model over time. This dynamic approach allows for subtler and more powerful answers, making use of various data sources beyond basic Salesforce columns. Salesforce’s AI team strives to democratize AI by offering ready-made tools, ensuring businesses can benefit from machine learning without the need for extensive customization by data scientists. The company’s multi-tenant approach, serving 150,000 customers, keeps each company’s data separate and secure. Salesforce’s Quest for AI for the Masses To scale AI implementation across its vast customer base, Salesforce developed Optimus Prime. This system automates the creation of machine learning models for each customer, eliminating the need for extensive manual involvement. Optimus Prime, the AI that builds AIs, streamlines the process and accelerates model creation from weeks to just a couple of hours. Salesforce plans to expand Einstein’s capabilities, allowing users to apply it to more customized data and enabling non-programmers to build custom apps. The company’s long-term vision includes exposing more of its machine learning system to external developers, competing directly with AI heavyweights like Google and Microsoft in the business market. Originally published in WIRED magazine on August 2, 2017 and rewritten for this insight. 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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cloud computing

Top Ten Reasons Why Tectonic Loves the Cloud

The Cloud is Good for Everyone – Why Tectonic loves the cloud Why tectonic loves the cloud 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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