Google Analytics Archives - gettectonic.com - Page 2
Account Planning With Salesforce
25Sep

CRM Analytics Limits

When using CRM Analytics, keep these limits in mind. API Call Limits These limits apply to all supported editions. API Call Limit Maximum concurrent CRM Analytics API calls per org 100 Maximum CRM Analytics API calls per user per hour 10,000 Dataset Row Storage Allocations per License In Salesforce org, your total row storage limit for all registered datasets combined depends on your license combination. Each license allocates a different number of rows. Baseline Row Allocation Allocated Rows CRM Analytics Plus 10 billion CRM Analytics Growth 100 million Sales Analytics 25 million Service Analytics 25 million Event Monitoring Analytics 50 million B2B Marketing Analytics 25 million CRM Analytics for Financial Services Cloud 25 million CRM Analytics for Health Cloud 25 million Extra Data Rows license 100 million Your total row storage limit is a combination of your active licenses. For example: Because the CRM Analytics Plus license includes the Sales Analytics and Service Analytics licenses, your total row allocation remains 10 billion. Similarly, the CRM Analytics Growth license includes the Sales Analytics and the Service Analytics licenses, so your total row allocation remains 100 million. However, if you obtain another Sales Analytics or Services Analytics license, your row limit increases by 25 million for each added license. Dataset Row Limits Each dataset supports up to 2 billion rows. If your Salesforce org has less than 2 billion allocated rows, each dataset supports up to your org’s allocated rows. Dataset Field Limits Value Limit Maximum number of fields in a dataset 5,000 (including up to 1,000 date fields) Maximum number of decimal places for each value in a numeric field in a dataset (overflow limit) 17 decimal placesWhen a value exceeds the maximum number of decimal places, it overflows. Both 100,000,000,000,000,000 and 10,000,000,000,000,000.0 overflow because they use more than 17 decimal places. A number also overflows if it’s greater (or less) than the maximum (or minimum) supported value. 36,028,797,018,963,968 overflows because its value is greater than 36,028,797,018,963,967. -36,028,797,018,963,968 overflows because it’s less than -36,028,797,018,963,967.When a number overflows, the resulting behavior in CRM Analytics is unpredictable. Sometimes CRM Analytics throws an error. Sometimes it replaces a numeric value with a null value. And sometimes mathematical calculations, such as sums or averages, return incorrect results. Occasionally, CRM Analytics handles numbers up to 19 digits without overflowing because they are within the maximum value for a 64-bit signed integer (263 – 1). But numbers of these lengths aren’t guaranteed to process.As a best practice, stick with numbers that are 17 decimal places or fewer. If numbers that would overflow are necessary, setting lower precision and scale on the dataset containing the large numbers sometimes prevents overflow. If your org hasn’t enabled the handling of numeric values, the maximum number of decimal places for each value in a numeric field in a dataset is 16. All orgs created after Spring ’17 have Null Measure Handling enabled. Maximum value for each numeric field in a dataset, including decimal places 36,028,797,018,963,967For example, if three decimal places are used, the maximum value is 36,028,797,018,963.967 Minimum value for each numeric field in a dataset, including decimal places -36,028,797,018,963,968For example, if five decimal places are used, the minimum value is -36,028,797,018,9.63968 Maximum number of characters in a field 32,000 Data Sync Limits If you extract more than 100 objects in your dataflows, contact Salesforce Customer Support before you enable data sync. Value Limit Maximum number of concurrent data sync runs 3 Maximum number of objects that can be enabled for data sync, including local and remote objects 100 Maximum amount of time each data sync job can run for local objects 24 hours Maximum amount of time each data sync job can run for remote objects 12 hours Data sync limits for each job:Marketo Connector (Beta)NetSuite ConnectorZendesk Connector Up to 100,000 rows or 500 MB per object, whichever limit is reached first Data sync limits for each job:Amazon Athena ConnectorAWS RDS Oracle ConnectorDatabricks ConnectorGoogle Analytics ConnectorGoogle Analytics Core Reporting V4 ConnectorOracle Eloqua ConnectorSAP HANA Cloud ConnectorSAP HANA Connector Up to 10 million rows or 5 GB per object, whichever limit is reached first Data sync limits for each job*:AWS RDS Aurora MySQL ConnectorAWS RDS Aurora PostgresSQL ConnectorAWS RDS MariaDB ConnectorAWS RDS MySQL ConnectorAWS RDS PostgreSQL ConnectorAWS RDS SQL Server ConnectorGoogle Cloud Spanner ConnectorMicrosoft Azure Synapse Analytics ConnectorMicrosoft Dynamics CRM ConnectorSalesforce External ConnectorSalesforce Contacts Connector for Marketing Cloud EngagementSalesforce OAuth 2.0 Connector for Marketing Cloud Engagement Up to 20 million rows or 10 GB per object, whichever limit is reached first Data sync limits for each job*:Amazon Redshift ConnectorAmazon S3 ConnectorCustomer 360 Global Profile Data Connector (Beta)Google BigQuery for Legacy SQL ConnectorGoogle BigQuery Standard SQL ConnectorHeroku Postgres ConnectorMicrosoft Azure SQL Database ConnectorSnowflake Input Connector Up to 100 million rows or 50 GB per object, whichever limit is reached first *When using these connectors, Salesforce Government Cloud org data is protected in transit with advanced encryption and can sync up to 10 million rows or 5 GB for each connected object, whichever limit is reached first. Note When using a Salesforce local input connection, CRM Analytics bulk API usage doesn’t count towards Salesforce bulk API limits. Use of the external Salesforce connection and output connection impacts your limits. The dataflow submits a separate bulk API call to extract data from each Salesforce object. The dataflow uses a batch size of 100,000–250,000, depending on whether the dataflow or the bulk API chunks the data. As a result, to extract 1 million rows from an object, the dataflow creates 4–10 batches. Recipe and Dataflow Limits Important In Winter ‘24, recipe runs over 2 minutes are counted against the limit. Previously, the recipe run counts weren’t correct. For more information, see Known Issue – Recipe runs are not counting towards the daily maximum run limit. Value Limit Maximum amount of time each recipe or dataflow can run 48 hours Maximum number of recipes 1,000 Maximum number of dataflows definitions (with data sync enabled) 100 Maximum number of dataflow and recipe runs in a rolling

Read More
September 25, 2023in Data, Google, Google Analytics, Salesforce, Salesforce Government Cloud, Snowflake
Google Analytics 4 UTM Codes
31May

Google Analytics 4 UTM Codes

How to Generate UTM Codes Generating Google Analytics 4 UTM Codes can be done in several ways. A common method is using Google’s Campaign URL Builder, where you enter your original URL and add the desired UTM parameters. Alternatively, tools like Measureschool’s UTM Tool in Google Sheets or other free online tools can also be used to create UTM codes. Viewing UTM Data in Google Analytics 4 In Google Analytics 4 (GA4), UTM data is found in the standard Acquisition reports. Specifically, you can view this data in the Acquisition Overview, User Acquisition: First User Default Channel Grouping, and Traffic Acquisition reports. Additionally, the Explore section in GA4 allows for the creation of custom reports using UTM data. Best Practices for UTM Tagging When using UTM tags, consider the following best practices: Google Analytics 4 UTM Codes allows you to better track your customer journeys and measure ROI on your advertising and search engine optimization efforts. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
May 31, 2023in Google Analytics
Google Analytics and Salesforce Integration
18May

Google Analytics and Salesforce Integration

Syncing Google Analytics Data to CRM Analytics To integrate Google Analytics and Salesforce Integration using the Google Analytics connector, follow these steps: Important Note: As of July 1, 2023, the main product Google Analytics has been decommissioned and replaced with the new product Google Analytics 4 (GA4). The Salesforce announcement GA4 Set to Replace Universal Analytics gives an overview on this. Creating a Connection Required Settings: Google Analytics 4 Integration To sync Google Analytics 4 data to Salesforce Data Pipelines: Connector Considerations: Google Analytics Salesforce Sales Cloud Integration User Identification Analytics provides two methods to identify users: Required Salesforce Sales Cloud Objects and Fields: Integration Steps: Testing and Viewing Imported Data: Notes: Google Data Studio and Salesforce Integration Connecting Salesforce with Google Data Studio allows for powerful visualizations that combine sales and marketing data. This integration helps in understanding which channels generate the most leads and income. Google Analytics 4 Connection Setup: Connection Details: Advanced Properties: Considerations: By following these steps, you can seamlessly integrate Google Analytics data into your CRM Analytics and Salesforce Data Pipelines, ensuring robust data analysis and informed decision-making. Decide How to Identify Your Users: Analytics offers two ways to programmatically identify your users: Client ID and User-ID. To support Data Import for Salesforce Sales Cloud, you must implement Client ID. You may optionally choose to also implement User-ID. Client ID pseudonymously identifies a browser instance and is best suited for businesses focused on lead generation and new customer acquisition. User-ID enables the analysis of groups of sessions, across devices, using a unique, persistent, and non-personally identifiable ID string representing a user. This option is best for businesses with high rates of logged-in users. How to Import CRM/ERP Data with Google Analytics 4 Using a CSV File: Transitioning to Google Analytics 4: As of March 2023, Google has automatically created GA4 properties for users unless they opt-out. Until July 1, 2023, you can continue to use and collect new data in your Universal Analytics properties. After this date, you must export your historical reports as Universal Analytics will be phased out. How Does Google Help Salesforce Marketing Cloud Users? Google Analytics provides invaluable insights into user behavior, helping Salesforce Marketing Cloud users optimize campaigns and understand customer journeys. Integration with the Google platform allows businesses to combine offline sales data with digital analytics, optimizing digital marketing strategies and improving campaign effectiveness. Additional Integration: Using datasets from Google Analytics and Google BigQuery, businesses can create interactive Tableau CRM dashboards to visualize campaign activities and performance metrics. By following these guidelines, organizations can leverage Google Analytics data effectively within their Salesforce ecosystem, enhancing decision-making and strategic planning. Content updated July 2024. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
May 18, 2023in Google Analytics, Salesforce Marketing Cloud, Salesforce Sales Cloud
Salesforce Experience Cloud
12May

Nonprofit with Salesforce Experience Cloud

Transform Your Nonprofit with Salesforce Experience Cloud: A Digital Storefront for Engagement Think of Salesforce Experience Cloud as your Nonprofit’s digital storefront—always open, always inviting. This powerful Digital Experience Platform (DXP) enables you to create custom portals, communities, and hubs where donors, volunteers, and beneficiaries can seamlessly connect with your organization. Instead of juggling endless emails and spreadsheets, Experience Cloud centralizes interactions, making them self-service, intuitive, and engaging. With nonprofit-specific features, you can build customized, branded experiences without heavy development work. Here’s what makes Experience Cloud a game-changer: ✅ Drag-and-drop site builder for effortless customization✅ Prebuilt templates & Lightning components for quick deployment✅ Mobile Publisher for consistent branding across mobile apps✅ Built-in content management system (CMS)✅ Personalization tools like audience targeting & role-based access✅ Einstein AI-powered chatbots for instant responses✅ Gamification with badges & leaderboards✅ Google Analytics 4 integration for engagement insights✅ Advanced security with Lightning Locker & Clickjack protection …and much more. 🔍 Nonprofit Solutions You Can Build with Salesforce Experience Cloud 1️⃣ Program Applications & Intake Portals Managing program applications can be overwhelming without a structured system. Experience Cloud allows Nonprofits to create a self-service portal where applicants can submit forms, track status updates, and receive automated notifications—eliminating paper-based processes and endless email chains. With Dynamic Forms and Flow Builder, applications stay structured while automation accelerates approvals. Plus, since everything syncs to the Nonprofit Success Pack (NPSP), you’ll always have a real-time view of applicants and program impact. 2️⃣ Volunteer Portals Managing volunteers shouldn’t feel like a full-time job. With a Volunteer Portal, people can sign up, pick shifts, and track their hours—all without back-and-forth emails. Features like automated background checks and approval workflows ensure smooth operations. Meanwhile, Experience Cloud’s Chatter integration fosters engagement, helping you track who’s active, who’s disengaged, and who might need a little encouragement. 3️⃣ Community Partner Portals Nonprofits thrive on partnerships, and a Community Partner Portal keeps corporate sponsors, local businesses, and community groups connected. With this portal, partners can log in, access shared resources, submit funding applications, and track joint projects—all from one secure platform. Role-based access ensures that sensitive data stays protected while collaboration remains seamless. 4️⃣ Membership Portals If your nonprofit has a membership program, Experience Cloud helps you build a Member Portal where users can renew memberships, update information, and access exclusive content. Want to boost engagement? Introduce gamification with badges, leaderboards, and personalized event recommendations. Since everything is integrated with Salesforce CRM, you’ll gain real-time insights into member activity to keep engagement levels high. 5️⃣ Grant Management Portals Grant applications shouldn’t feel like a never-ending email thread. With Experience Cloud, you can create a Grant Management Portal where organizations apply for funding, track application progress, and submit reports—all in one place. Einstein AI can even prioritize applications based on predefined criteria, accelerating the review process. Grantors, in turn, can access real-time funding reports—enhancing transparency and trust. 6️⃣ E-Commerce & Donation Portals Looking to sell nonprofit merchandise or accept donations online? Experience Cloud seamlessly integrates with Salesforce Commerce Cloud, allowing you to build an e-commerce storefront for hassle-free transactions. Supporters can:💳 Make one-time or recurring donations🛍️ Purchase branded merchandise📜 Track donation history & receive personalized thank-you messages For secure transactions and easy donor tracking, you can integrate Stripe, PayPal, or other payment processors directly into your portal. 7️⃣ Voter Registration Portals If your nonprofit promotes civic engagement, Experience Cloud can power a Voter Registration Portal where users can check registration status, sign up to vote, and receive election reminders. With geolocation tools, voters can find polling places instantly, while Marketing Cloud integration allows you to send timely voter updates—ensuring higher participation in the democratic process. Implementing Salesforce Experience Cloud for Nonprofits Which Approach is Right for Your Nonprofit? Your ideal Experience Cloud implementation depends on your current CRM, budget, and long-term strategy. 1️⃣ Standalone Experience Cloud Implementation If your nonprofit already uses Salesforce CRM (but not NPSP), you can still implement Experience Cloud independently to create portals, volunteer hubs, and dashboards while maintaining your existing CRM as the system of record. Considerations:🔹 Custom Configuration – You’ll need to set up nonprofit-specific objects & automation.🔹 Permissions & Access – Well-structured security settings are crucial.🔹 CRM Integration – If using a non-Salesforce CRM, API integrations (e.g., MuleSoft, Zapier) will be required. This option is best for nonprofits that want external-facing engagement tools without fully shifting to the Salesforce Nonprofit ecosystem. 2️⃣ Experience Cloud + Nonprofit Cloud / NPSP For nonprofits already using Salesforce Nonprofit Cloud or NPSP, Experience Cloud becomes an extension of your engagement strategy. 🔹 Real-time donor, volunteer, and grant data sharing🔹 Prebuilt nonprofit features (fundraising, donor management, program tracking)🔹 Automation & AI-powered engagement 3️⃣ Experience Cloud + Third-Party Nonprofit CRMs Already using a third-party nonprofit CRM (like Raiser’s Edge NXT, Neon One, or DonorPerfect)? You can still leverage Experience Cloud, but strong integration is key. 🔹 Experience Cloud powers your donor, volunteer, or program portal🔹 API-based sync required for real-time data exchange🔹 Tools like MuleSoft or Zapier help bridge data gaps This approach is ideal for nonprofits wanting the flexibility of Experience Cloud without migrating their backend to Salesforce. Final Thought: Making Experience Cloud Work for Your Nonprofit No matter your approach, Salesforce Experience Cloud is a powerful tool to drive engagement and efficiency for nonprofits. However, successful implementation requires a well-thought-out strategy. Need expert guidance? A Salesforce implementation partner can help tailor Experience Cloud to fit your unique nonprofit needs, ensuring your digital storefront delivers maximum impact. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays

Read More
May 12, 2023in Data, Google, Google Analytics, Mulesoft, Salesforce, Salesforce Commerce Cloud, Salesforce Experience Cloud, Salesforce Nonprofit Cloud
Personalization and Third-Party Apps
15Apr

Personalization and Third-Party Apps

Marketing Cloud Personalization: Integration Capabilities Marketing Cloud Personalization seamlessly integrates with various third-party solutions beyond Salesforce. These integrations span data management platforms, email service providers, third-party campaign detection tools, analytics products, content management systems, social media platforms, and tag managers. Personalization and Third-Party Apps. Data Management Platforms (DMP) Examples: Adobe Audience Manager, BlueKai, Neustar Functionality: Email Service Providers (ESP) Examples: Yes Lifecycle Marketing, Silverpop, Cheetah Mail, Adobe Campaign Functionality: Third-Party Campaign Detection Integration Type: UTM parameter mapping Functionality: Analytics Examples: Adobe Analytics, Google Analytics Functionality: Content Management Systems (CMS) Examples: Various CMS solutions Functionality: Social Integration Type: Generic segment sync Functionality: Tag Managers Integration Type: Custom implementation based on your needs Functionality: By leveraging these integration options, Marketing Cloud Personalization enables seamless data synchronization and enhanced targeting across multiple platforms and channels. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
April 15, 2023in Google Analytics, Salesforce, Salesforce Optimization
10 Essential Email Marketing KPIs to Measure Success
31Mar

10 Essential Email Marketing KPIs to Measure Success

Is Your Email Strategy Working? These Metrics Tell the Truth Email marketing isn’t a “set it and forget it” channel—it’s a data-driven science. With evolving privacy rules (like Apple’s Mail Privacy Protection) and shifting consumer behaviors, tracking the right KPIs is crucial to optimizing engagement, conversions, and ROI. Here are the 10 most critical email marketing KPIs to measure performance—and how to use them to refine your strategy. 1. Delivery Rate What it measures: Percentage of emails that actually reach inboxes.Formula: (Emails Sent – Bounces) / Emails SentWhy it matters: If your emails aren’t being delivered, nothing else matters. Low delivery rates? Check for spam filters, authentication issues (SPF/DKIM/DMARC), or poor list hygiene. 2. Click-Through Rate (CTR) What it measures: Percentage of recipients who clicked a link in your email.Formula: Unique Clicks / Delivered EmailsWhy it matters: Indicates content relevance and CTA effectiveness. A high CTR means your message resonates; a low CTR suggests weak offers or poor email design. 3. Clicks by Link What it measures: Which links get the most engagement.Why it matters: Not all clicks are equal. If subscribers only click your unsubscribe link or a secondary CTA (instead of your main offer), you need to restructure your email flow. 4. Event Lag (Time-to-Click) What it measures: How quickly recipients engage after receiving your email.Why it matters: Fast clicks = urgent, compelling content. Slow clicks = your email got buried or lacked urgency. Use this to refine subject lines, send times, and preheaders. 5. Bounce Rate (By Type) What it measures: Percentage of emails rejected by the recipient’s server.Types: 6. Unsubscribe & Complaint Rates What they measure: 7. Web Traffic & Conversions What it measures: How many email clicks lead to desired actions (purchases, sign-ups, downloads).Pro tip: Use UTM parameters to track email-driven conversions in Google Analytics.Why it matters: The ultimate measure of ROI. If clicks don’t convert, your landing page or offer may be the issue. 8. Campaign vs. Email Performance What it measures: How individual emails perform within broader campaigns.Why it matters: Some emails (e.g., welcome series) may outperform others (promotional blasts). Compare CTR, conversions, and unsubscribe rates to identify winning templates. 9. List Growth Rate What it measures: How fast your subscriber list is expanding.Formula: (New Subscribers – Unsubscribes) / Total List SizeWhy it matters: Stagnant lists = missed opportunities. Boost growth with lead magnets, opt-in incentives, and cross-channel promotions. 10. Most & Least Engaged Subscribers What it measures: Who opens/clicks regularly vs. who ignores your emails.Why it matters: Key Takeaway: Test, Analyze, Optimize Email success isn’t static—it’s a cycle of testing, measuring, and refining. Start with these 10 KPIs, but always:✅ A/B test subject lines, CTAs, and send times✅ Segment your lists for hyper-relevant messaging✅ Clean your lists regularly to maintain deliverability “Your email metrics are a mirror—they show exactly what’s working (and what’s not). Stop guessing. Start measuring.” Need help tracking these KPIs? Contact Tectonic for marketing measurement assistance. #EmailMarketing #DigitalMarketing #KPIs #MarketingStrategy #ROI Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
March 31, 2023in Data, Google, Google Analytics
11Oct

Attribution with Google Tag Manager and Custom Code

Utilizing Google Tag Manager with Custom Code If you’re already using Google Tag Manager (GTM) on your website, you can leverage it to store UTM parameters in a browser cookie. This stored data can then be extracted and populated into hidden form fields, which are sent to Salesforce upon form submission. Attribution with Google Tag Manager and Custom Code. Here’s a step-by-step guide to the process: Attribution with Google Tag Manager and Custom Code Pros: Cons: Limitations: Implementing Attribution Snippets with GTM Across All Pages To implement attribution snippets using GTM, follow these steps: Adding Attributes in Google Tag Manager: Adding a Custom HTML Tag in GTM: Adding Code to GTM: Optimizing GTM Performance Differentiating GTM and Google Analytics Testing GTM Code Employ a Tag Debugger: Attribution with Google Tag Manager and Custom Code Changes Is your business ready for the changes coming to Google’s data measurement infrastructure? You probably rely on Google Analytics as a marvelous tool to understand your customers and better target their needs across both your web and mobile app platforms. But with changes on the way from Google, particularly with some legacy mobile app tracking and measurement platforms, the stability of your analytics might be at risk if you’re not prepared. What’s changing? The current version of Google Tag Manager (version 4, or “Legacy”) for mobile apps will no longer be supported by Google as of March 2020. But, limitations on the functionality of GTM version 4 have already begun. Due to these limitations and hard dates for deprecation, everyone will need to upgrade to Google Tag Manager version 5. This requires the implementation of new GTM and Firebase Software Development Kits and a switch from the current GTM in-app, data layer approach to the new Firebase, event-based, data collection process. When will service be affected? Here are the key dates and milestones shared by Google, subject to change (though unlikely): Will analytics measurement be affected? Yes, for your mobile applications in particular. For your business to maintain uninterrupted Google Analytics tracking, you must make changes in the app source code. You’ll have to migrate the current data layer code in-app to Firebase-syntax data collection code, install a new Firebase SDK (if not already in place), create new GTM v5 containers, and test the new set-up for reliability to avoid any interruptions. InfoTrust can provide you with assistance to make this process as painless as possible. Please note, if you are already using Firebase Analytics and/or the newer version of Google Tag Manager for mobile apps, v5 (Firebase powered events and data collection), there is nothing to worry about and you are already in the safe zone. These dates are only meant to deprecate the measurement tracking for **Google Tag Manager v4 Legacy Containers** in mobile apps. This DOES NOT mean you have to move to Firebase Analytics and it DOES NOT mean GA for mobile apps is going away. Simply the means of collecting data in the app, if using GTM, is going through an upgraded version. You will need to update your source code to use the new GTM v5 SDK and Firebase event code, as described later but feel free to continue using GA as normal (if deployed in the new GTM v5 Firebase-powered containers). Benefits of Switching It’s not all bad news. Though the migration to GTM v5 will take some work, there are some major advantages. Most importantly, switching ensures uninterupted information flow to Google Analytics, so you never lose touch with your customers. Also, this isn’t just a cosmetic change; the switch to version 5 comes with more tags, new GTM capabilities, and new Firebase analytics UI capabilities. Why InfoTrust? If you’re still using version 4 of Google Tag Manager, this could be a complex project that requires input from many different parts of your business from IT to software development to analytics to marketing. Migrating platforms may be a little annoying, but it’s much less annoying than losing access to the key analytics tools or data you rely on to understand your customers and make strategic business decisions. Switching prevents headaches later and unlocks useful new features now. InfoTrust can help your organization come up with a solid migration plan, help work with your engineers to fully test and configure all the reporting + data measurement, and partner with your team to make the most out of the data collection and mobile application data you will continue to capture. If you have any questions about any aspect of this process, don’t think twice about reaching out. We’d love to help. InfoTrust is here to make sure you’re data confident. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
October 11, 2022in Google Analytics, Salesforce
analytics 360 and journey builder
20Jun

Google Analytics 360 and Salesforce Marketing Cloud

Customers seek to engage with brands that understand and value them, offering personalized interactions. Google Analytics 360 and Marketing Cloud provide a full understanding of your customers. 67 percent express a willingness to pay more for an enhanced brand experience. However, 51 percent of consumers feel that brands are currently falling short in delivering this desired level of customer experience. Various challenges contribute to this, including disconnected data, outdated systems, disparate channels, and siloed departments. The solution to overcoming these obstacles lies in integration. Integration of Google Analytics 360 and Marketing Cloud is the fix! While the answer seems straightforward, the task of untangling data from multiple fragmented systems to create a unified and actionable view of the consumer is more complex. Salesforce and Google recognize this challenge and have joined forces to facilitate the seamless integration of cross-channel insights for marketers within the Salesforce Marketing Cloud and Google Marketing Platform. Empowering Marketers This integration offers several capabilities, empowering marketers to be more productive, analyze rich data in one place and create personalized messages. The ability to make informed marketing decisions is key for many. Key features include simplified setup, cross-channel analytics, content performance analysis, website optimization, marketing attribution, and audience activation. The simplified setup allows users to view Analytics 360 reports in one Marketing Cloud dashboard. The cross-channel analytics feature provides a comprehensive understanding of customer engagement metrics, integrating data from various sources, including web and advertising. Content performance analysis goes beyond open and click rates, offering insights into customer behavior after interacting with marketing content. Website optimization leverages Marketing Cloud engagement data to enhance web optimization tests and personalize the site experience based on a broader, cross-channel view of the consumer. Marketing attribution enriches attribution reports with Marketing Cloud engagement data for a more complete view of the channels and tactics leading to optimal results. Integration of Google Analytics 360 and Marketing Cloud Provides Simplification The integration also simplifies the process of providing additional marketing and channel engagement data to Google Marketing Platform for measurement and activation through auto-tagging of journeys. Additionally, for the first time, marketers can create audiences in Analytics 360 based on users’ web and app browsing behavior and directly share and activate them through additional Marketing Cloud channels like email, SMS, or push notifications. This coordination ensures a consistent and personalized customer journey across various channels. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
June 20, 2022in Google Analytics, Salesforce Marketing Cloud
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 Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Content Builder Salesforce Content Builder empowers you to craft compelling emails and landing page templates, complete with reusable and interactive content blocks. Read more Demandbase Salesforce Integration The integration of Demandbase with Salesforce creates a seamless connection between Demandbase One and your Salesforce CRM, establishing a bidirectional Read more What is the Contact Key in Salesforce? The contact key in Salesforce, also known as a subscriber key, is a unique identifier for a contact in Marketing Read more

Read More
November 1, 2021in Google Analytics, Salesforce Manufacturing Cloud
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 Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
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 Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
May 5, 2020in Google Analytics
gettectonic.com