Google Analytics Archives - gettectonic.com - Page 3
Salesforce Marketing Cloud Journey Builder
01Nov

Google Analytics 360 and Journey Builder Analytics

Meet the New Journey Analytics Dashboard Imagine having a centralized platform where you can effortlessly discover how consumers engage with your messages and content across various channels. Google Analytics 360 and Journey Builder give3 you just that. The integration of Salesforce Marketing Cloud and Google Analytics 360 makes this a reality, providing access to cross-channel and content engagement data within Journey Builder. This integration empowers you to easily track the effectiveness of your marketing campaigns. Google Analytics 360 and Journey Builder To go deeper into the insights offered by the new dashboard, let’s explore each component: 1. Google Analytics Goal Tile: 2. Email Performance Tile: 3. Google Analytics Ecommerce Tile: 4. Google Analytics Site Usage Tile: 5. Google Analytics Content Tab: This integration provides a comprehensive view of customer journeys, enabling you to optimize marketing strategies based on real-time data and valuable insights. What is the difference between Google Analytics and Google Analytics 360? Google Analytics 360 increases data sampling thresholds for ad-hoc analysis compared to the standard version of Google Analytics and also provides the option to export unsampled data, which the standard version does not. Data sampling limits analysis to a subset of data and then draws conclusions about the whole. Content updated January 2024. Like1 Related Posts Guide to Creating a Working Sales Plan Creating a sales plan is a pivotal step in reaching your revenue objectives. To ensure its longevity and adaptability to 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 Web Pages That Helped With My Google Data Engineer Exam Google Data Engineer Exam It seems like every day more resources appear to help you study for the Google Data Read more What is Advanced Reporting in Salesforce? Cross Filters, Summary Formulas, and More: Advanced Reporting in Salesforce Salesforce comes with report types out-of-the-box for all standard objects Read more

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November 1, 2021in Google Analytics, Salesforce Manufacturing Cloud
Capturing UTM Parameters in Your Form
22Apr

Capturing UTM Parameters in Your Form Fields

Are you eager to unravel the origins of your website visitors and distinguish between paid and organic sources? A strategic approach involving UTM parameters and discreet form fields stored in cookies presents a practical solution. Capturing UTM Parameters in Your Form is really easy. Here’s how. Incorporating UTM parameters for source information significantly amplifies the depth of tracking data, providing valuable insights into online presence and visitor interests. While analytics tools like Google Analytics typically offer source information, integrating this data into Customer Relationship Management (CRM) systems enriches the overall dataset. However, for inclusion in Google Analytics, it is advisable to refer to a separate guide on tracking UTM codes in GA4. Despite the benefits of source information on the landing page, challenges arise when users navigate to subsequent pages. Addressing this involves associating source information with users through hidden form fields. However, concerns about user experience and cluttering views with tracking data may emerge. The solution lies in the strategic use of cookies. Storing source information in a cookie allows marketers to seamlessly transfer the information to populate a form field when users are ready to submit, without disrupting the user experience. Here’s a step-by-step guide: When applied effectively, this technique seamlessly captures UTM parameters using form fields from the landing page. For those seeking assistance, professional support from entities like Tectonic is recommended to facilitate the integration of marketing channel attribution data into the CRM. Like1 Related Posts Guide to Creating a Working Sales Plan Creating a sales plan is a pivotal step in reaching your revenue objectives. To ensure its longevity and adaptability to Read more Web Pages That Helped With My Google Data Engineer Exam Google Data Engineer Exam It seems like every day more resources appear to help you study for the Google Data Read more What is Advanced Reporting in Salesforce? Cross Filters, Summary Formulas, and More: Advanced Reporting in Salesforce Salesforce comes with report types out-of-the-box for all standard objects 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

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April 22, 2021in Google Analytics
marketing cloud utm parameters
07Apr

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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April 7, 2021in Data, Google, Google Analytics, Salesforce, Salesforce Marketing Cloud
persist campaign data
05May

Persist Campaign Data

This tag stores data in both the page referrer and URL parameters within a browser cookie. This cookie proves useful, particularly on conversion pages or when user consent has been obtained, allowing the session to be correctly attributed to the relevant campaign. Furthermore, this template offers a solution to the rogue referral issue. By enabling the “Store campaign data in a browser cookie” option, you can specify the URL parameters that trigger a cookie write. If any of these parameters are present in the page URL when the tag is activated, the page URL is recorded in the browser cookie. In scenarios where the page referrer hostname does not match the current page hostname (indicating the user’s arrival from another domain), the referrer is also stored in a cookie. Opting for the “Push original location in dataLayer” feature results in the tag pushing the current URL into the dataLayer. This can be leveraged to address the rogue referral problem effectively. Persist Campaign Data For single-page sites or apps, which typically involve content loading without refreshing the page, there is a specific challenge in Google Analytics tracking when configured through Google Tag Manager. The issue arises because, with every hit using a unique tracker object, the Document Location field is updated, causing problems in attributing sessions correctly. To resolve this, the tag template offers a comprehensive solution, ensuring proper session attribution even on single-page sites. Explore the Google Tag Manager Template Gallery at https://tagmanager.google.com/gallery/ for easy access to this template and others. 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 5, 2020in Google Analytics
catch initial traffic source with Google Analytics
18Jan

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 360, Salesforce Sales Cloud, and Salesforce Marketing Cloud. This collaboration marks the first time that sales, marketing, and advertising data will seamlessly converge. Integration of Salesforce Sales Cloud to Google Analytics 360 Announced. Integration of Salesforce Sales Cloud to Google Analytics 360 Announced Today, we at Tectonic are thrilled to introduce the inaugural integration: direct importation of sales pipeline data from Sales Cloud (including leads and opportunities) into Analytics 360. This integration empowers marketers within any business managing leads to gain a comprehensive understanding of the customer’s journey to conversion, enabling swift and targeted engagement at crucial touchpoints. Leading enterprises like Rackspace and Carbonite are already reaping the rewards of this integration, streamlining data analysis and reaching higher-value audiences. A Holistic View of the Customer Journey Marketers often struggle to bridge the gap between online and offline customer interactions to achieve a comprehensive view of the customer journey. With the seamless integration between Sales Cloud and Analytics 360, marketers can effortlessly amalgamate offline sales data with digital analytics data, gaining insights into the entire conversion funnel. This facilitates a deeper understanding of customer engagement with brands and the performance of marketing initiatives. For instance, marketers can examine the correlation between online lead sources (such as organic search, paid search, or email) and lead quality based on their progression through the sales pipeline. Enhanced Marketing Outcomes While increased visibility into the customer journey is invaluable, the true value lies in actionable insights. For example, if a particular source of site traffic consistently generates higher-quality leads, marketing budgets can be reallocated to optimize traffic acquisition. Moreover, the built-in connections between Analytics 360 and Google’s media buying platforms offer additional avenues to acquire new customers and drive incremental revenue. Marketers can leverage Adwords and DoubleClick Search tools to optimize search ad bidding based on actual sales data (offline conversions tracked in Salesforce) rather than just website leads. Additionally, they can create audience lists in Analytics 360 comprising qualified leads from Sales Cloud, leveraging Adwords or DoubleClick to target display ads to individuals with similar characteristics. Real-world Success Stories – Integration of Salesforce Sales Cloud to Google Analytics 360 Announced Rackspace, a leading provider of managed cloud services, has already experienced significant benefits from beta testing the Sales Cloud to Analytics 360 integration. By seamlessly integrating sales pipeline reporting with digital marketing analytics, Rackspace has gained deeper insights into marketing performance, saving time and accelerating decision-making processes. Similarly, Carbonite, a provider of cloud data backup services, is gearing up to transform its media activation strategy by leveraging insights derived from Salesforce data in Google Analytics and AdWords campaigns. What’s on the Horizon? In the coming months, Google will expand the availability of Sales Cloud data in Analytics 360, providing marketers with even deeper intelligence. For instance: Product-specific data will enable remarketing campaigns tailored to cross-sell or up-sell offers based on previous orders. Lead conversion likelihood data will facilitate the creation of audience lists of prospects with a high probability of purchasing, ideal for remarketing or prospecting campaigns. Lifetime value data will serve as a diagnostic tool, shedding light on the most valuable marketing channels. As 2018 progresses, Google will continue to roll out additional integrations between Salesforce and Analytics 360, enabling more accurate attribution modeling, comprehensive campaign performance analysis, and seamless audience activation across marketing channels. Integration of Salesforce Sales Cloud to Google Analytics 360 Announced If you’re not yet leveraging Analytics 360 and are eager to learn more, please reach out to us. Existing customers can engage with their account team or Certified Analytics Partner to devise a plan for implementing these integrations. 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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January 18, 2018in Google Analytics, Salesforce, Salesforce Sales Cloud
Salesforce
21Oct

What is Advanced Reporting in Salesforce?

Cross Filters, Summary Formulas, and More: Advanced Reporting in Salesforce Salesforce comes with report types out-of-the-box for all standard objects and standard object relationships eg. “Contacts & Accounts” or “Opportunities with Products”. You can view a list of report types when creating a new report. For the custom objects we build, Salesforce also creates report types automatically. Salesforce Reporting is one of the most powerful features, used to give users many different views into their data, and for Admins to demonstrate the value Salesforce has upon the organization’s productivity. Building reports in the Lightning Report Builder, a drag and drop interface, is extremely effective – as a Salesforce Admin, you should have a solid idea of all the options available to you when reporting requirements come up. What are advanced reporting features in Salesforce? These are the tricks Salesforce power-users should know to ultimately create the reports users need – even with challenging data models – in the most efficient and scalable way (with minimal additional configuration). Let’s have a look at some of the more advanced reporting options that Salesforce offers. 1. Custom Report Types Salesforce provides out-of-the-box report types for standard objects and their relationships. When creating a new report, you can choose from a list of available report types. For custom objects, Salesforce automatically generates report types. These report types establish a “with” or “and” relationship based on whether the two objects have a Lookup or Master-detail relationship. Custom Report Types become essential when you need to report on: To create a custom report type: Bonus: You can now automatically add fields to Custom Report Types without manually adding them to each report type. 2. Cross Filters (Exception Reports) When filtering reports, Cross Filters help identify records with or without related records, creating exception reports. They are added like regular filters, using the format: “Show me — [primary object] — with/without — [related object].” Example: “Show me — Contacts — without — Campaign History.” Enhance Cross Filters with additional sub-filters to narrow down related records further. For instance, “Show me — Contacts — without — Activities — with status: ‘open’” will generate a report of contacts with no open activities. Salesforce Admins can master Cross Filters to avoid unnecessary creation of custom report types or rollup fields. 3. Summary Formulas Summary Formulas handle complex calculations at all summary levels, acting like fields once created. In Salesforce Lightning, they are referred to as Summary Formula Columns. To use them: Summary Formulas offer powerful capabilities for in-depth calculations. 4. Row-level Formulas Row-Level Formulas, distinct from Summary Formulas, are applied to single records and displayed on the row itself. An example is checking if two fields on the same record have the same value. 5. Reporting Snapshots Reporting Snapshots capture a snapshot of Salesforce records, freezing data for future reference. Commonly used for tracking Opportunity Pipeline Change over time. 6. Historical Trend Reporting Historical Trend Reporting glances back at historical field values on a specific date. Limited to certain objects and fields, it provides a targeted view of historical data changes. 7. Field-to-field Filters These filters allow the comparison of values in different fields on a Salesforce report, refining report filter criteria. 8. Stacked Summaries Stacked Summaries summarize extensive data for quick review and comparison, activated when adding fields to both rows and columns. 9. Joined Reports Joined Reports combine two reports with different report types into a single view, offering a holistic data view. 10. Report URL Hack Report URL Hacking is a technique to set filter values via URL parameters, supported in Lightning Experience. It allows dynamic filtering without the need for multiple reports, enhancing user experience. This URL hacking can be used to launch specific reports with predefined filters, adding efficiency to report navigation. 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 21, 2017in Google Analytics
Salesforce Certifications
29Sep

Web Pages That Helped With My Google Data Engineer Exam

Google Data Engineer Exam It seems like every day more resources appear to help you study for the Google Data Engineer certification, so I thought in the interests of being helping you aspiring data engineers with some URLs I found helpful. Life of a BigQuery streaming insert When to use different types of storage in Google cloud The Google Study Guide for the Data Engineer Exam A quick guide on Apache Hadoop (several questions on this) The content on this mobile gaming scenario was covered extensively. This Spotify architecture is helpful because if similar to the scenarios you will deal with on the test This example gives you an idea of what to use Big Table versus Big Query Data Transfer Options for Google Cloud Lots and Lots of Case Studies Look for more helpful posts on studying for your Data Engineer Exam! A Professional Data Engineer makes data usable and valuable for others by collecting, transforming, and publishing data. This individual evaluates and selects products and services to meet business and regulatory requirements. A Professional Data Engineer creates and manages robust data processing systems. This includes the ability to design, build, deploy, monitor, maintain, and secure data processing workloads. Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google 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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September 29, 2017in Google Analytics, Salesforce

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