Google Analytics Archives - gettectonic.com

18Apr

ABM Road Map

An Account-Based Marketing (ABM) Roadmap is a strategic plan that outlines the steps, tactics, and timelines for executing an ABM strategy. ABM is a highly focused approach to B2B marketing where individual accounts are treated as markets in their own right. The roadmap ensures alignment between marketing, sales, and other teams to target high-value accounts effectively. Here’s a breakdown of a typical ABM Roadmap: 1. Define Objectives and Goals 2. Identify and Select Target Accounts 3. Build Cross-Functional Alignment 4. Research and Develop Account Insights 5. Create Personalized Campaigns and Content 6. Execute Multi-Channel Campaigns 7. Measure and Optimize 8. Scale and Expand Key Tools for ABM Roadmaps Example Timeline for an ABM Roadmap Phase Timeline Activities Planning & Alignment Month 1 Define goals, select accounts, align teams. Research & Insights Month 2 Gather account insights, develop personas. Campaign Development Month 3 Create personalized content and campaigns. Execution Months 4-6 Launch multi-channel campaigns. Measurement & Optimization Ongoing Track performance, optimize campaigns. Scaling Months 7+ Expand to more accounts or deepen engagement. By following an ABM roadmap, businesses can ensure a structured and effective approach to targeting high-value accounts, driving stronger relationships, and achieving measurable results. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

April 18, 2019in Data, Google, Google Analytics, Salesforce

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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

January 18, 2018in Google Analytics, Salesforce, Salesforce Sales Cloud

02Nov

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 and personal property rentals going above and beyond to surprise and delight consumers, their expectations have grown rapidly. Consumers now expect to be provided with a personalized experience. They expect that hospitality companies know their likes and needs and provide them with an experience based around those likes and needs. The speed with which companies need to respond to guests is ever increasing. Who would have predicted that 5 years ago AirBnB would have a valuation comparable with brands like Marriott? Companies are seeing value coming from frictionless customer experience and the way they use technology to lock customers in. The excitement in the travel and hospitality industry is around technology, which is now designed to help manage the customer journey and provide companies the ability to manage the guest experience across sales, service and marketing. Technology is allowing data to be more accessible and integrated, allowing companies to begin shaping customer behaviors in months, as opposed to years. We are seeing that companies that are leveraging the millions of customer touchpoints, data and analytics, are paving the way in providing a seamless, personalized customer experience and have gained a large share of consumers budgets. Companies are spreading their marketing and IT budgets around solutions that span the entire customer journey, from acquisition to cross-sell and up-sell strategies to personalized service throughout their stay. Those who know what their customers wants and needs as well as when and how they want it, are creating loyal, repeat guest visits. Caesar’s Entertainment grew from $3 billion to $12 billion by leveraging technology to deliver personalized service and marketing initiates across its many hotels and casinos. They created a repeatable model across over 90,000 employees, allowing cocktail waitresses to know a customers worth, their favorite drink and how best to interact with them. Caesar’s also enhanced their loyalty rewards program by analyzing their data and implementing rewards that their customers wanted, increasing how much these customers stayed, played and spent on their properties. The evolution of technology has made data more accessible and interpretable, allowing companies to mold customer behaviors and maximize their spending potential. Some of Tectonic’s clients have looked to us to help them shape their customers behaviors. Tectonic has developed an approach, called Insight 2 Action, to help their clients shape behaviors. Insight 2 Action (i2a) helps customers ingest and understand their data and leverage technologies that help guide and influence customer interaction – how they buy, receive services, interact today as well as tomorrow. One of Tectonic’s clients, a luxury vacation company, has grown into a several hundred million dollar organization by understanding customer needs and proactively reaching out to guests with cross-sell and up-sell opportunities. They leveraged their cloud based technologies to manage their data and analytics, marketing & CRM. The implementation took 6 months and a $2 million dollar investment. If our client had chosen to leverage non-cloud based technologies, they would have had a 3 year, $50 million dollars implementation. At the core of personalized service is the ability to react quickly. For example, a new restaurant is being built in which every floor manager and sommelier will be wearing an Apple Watch. When a VIP customer walks through the front door, their favorite bottle of wine can be immediately taken to their table by the floor manager. This also allows for personalized interactions such as greeting a customer when a new table is seated, approaching a guest who waits too long to order her or his drink, or when a menu item runs out, every manager will get an alert via the tiny computer attached to their wrist. This is not a new concept but shows the power of leveraging technology in providing a more personalized guest experience. In providing seamless customer experience it is important to look at embracing cloud technology and what it has to offer. One of our behavior shaping clients acquires, correlates & stores 10 petabytes of data at a 10th of what it cost 4 years ago. From a delivery perspective, this took 6 agile sprints of behavior shaping actions to do approximately 50 behavioral use cases to drive a m reduction in marketing expenses. Our clients are also using cloud tools such as Salesforce to deliver personalized and prescriptive actions across the globe. Our agile approach allows for clients to deploy small stories so that we can deliver quickly for clients, allowing them to measure and iterate with different stories. Content updated January 2024. #technology #travel #hospitality #bigdata #agile #analytics Like2 Related Posts Email Marketing for Hotels and the Hospitality Industry Email Marketing for Hotels

November 2, 2017in Data, Google Analytics, Salesforce, Salesforce Data Cloud, Salesforce Einstein, Salesforce Hospitality Travel and Transportation, Salesforce Marketing Cloud, Salesforce Marketing Cloud Account Engagement (Pardot), Salesforce Personalization, Salesforce Sales Cloud, Technology

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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

October 21, 2017in Google Analytics

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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

September 29, 2017in Data, Google, Google Analytics, Salesforce

05Jan

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 industry’s ever evolving circumstances, consolidating all your sales data in a unified location and utilizing technology for real-time updates is crucial. Here’s a step-by-step guide to crafting an effective sales plan. Agree on a timeline for your tactics and goals: What needs to be completed when, and in what order. What tactics can be worked on concurrently and what tactics have dependencies? Write out your company mission and values to ensure alignment: Integrate with a CRM: Assess team capacity: Identify the target audience and product or service positioning in the marketplace: Evaluate the gap: Create action plans: Present and execute: Continuously adjust: Like2 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

January 5, 2017in Data, Google Analytics, Salesforce, Technology

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Integration of Salesforce Sales Cloud to Google Analytics 360 Announced

What is Advanced Reporting in Salesforce?

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