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What’s New & Important for GA4? [2023]

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What’s New & Important for GA4? [2023]

Google Analytics 4 (GA4) marks a major shift in thinking about how web and app properties are tracked. Formerly called “App + Web properties” in beta, Google Analytics 4—announced in October 2020—builds upon the foundation of cross-device unified measurement introduced in July 2019.

GA4 is a new Google product that allows for Web and App data to be collected separately, or in one continuous property. GA4 is designed to replace both Universal Analytics (UA) and GA360, which will be deprecated in 2023. UA accounts will stop collecting data effective July 1, 2023, while GA360 accounts will stop collecting data effective July 1, 2024. At that time, GA4 will become Google’s sole analytics platform.

Acknowledging the increasing overlap between web and mobile app development and content—as well as answering marketers’ needs for unified data—Google Analytics 4 seeks to eliminate the need for manual stitching and workarounds between platforms.

Although Universal Analytics (UA) tracking is available until July 1, 2023 with historical data available for an additional 6 months later, it’s important to recognize GA4 as “the new Google Analytics.”
 

What is Google Analytics 4?

 
GA4 is not simply a redesign of Universal Analytics (UA); it’s an entirely new product that can be installed in addition to your existing UA profile. That said, if you’re setting up GA for the first time, GA4 is the “latest version” that superseded UA as the default analytics platforms in October 2020. UA can still be installed, but GA4 is to be considered a Google Analytics update.

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Previously, Analytics was divided between web properties (traditional Google Analytics) and Analytics for Firebase (to specifically cater to app needs). Perhaps most importantly, Google Analytics 4 seeks to set property owners up with flexible, yet powerful analytics tools within the bounds of cookieless tracking and consent management.

In other words: Google Analytics 4 is ready for the future, and the future is now.

 

Universal Analytics vs. Google Analytics 4

 

Q. Should Businesses Use Both Universal Analytics & GA4?

 
 Absolutely—assuming you already have an existing Universal Analytics profile. GA4 implementation does not necessitate removing your existing GA setup. You’ll want to keep that in place for all that valuable historical data, with the insights you garner from GA4 working in complement with it.

If you are setting up Google Analytics for the first time, you can get started right away with GA4; there is no need to create a new, separate Universal Analytics profile, as those will sunset in July 2023.

A number of important changes have taken place in the evolution of GA4 and the growing restrictions around data privacy. A few key items that have changed—and not just for GA4, in some cases—include:
 

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IP Address logging

 
IP logging has been deprecated as a whole, and all processing for locations will happen and be passed through to GA. This meets GDPR requirements and ensures no compliance issues arise in the form of transferring PII (personally identifiable information)
 

EU Data

 
Previously, EU data was being moved to the States to be processed. This practice has been deprecated, and all EU data is processed within the EU, which also ensures GDPR compliance
 

Google Signals Regionality 

 
Launched in 2018, Google Signals is a product that collects data for users who have opted into Ad Personalization. This data is anonymized and made available to integrate into reporting, audience building, and more. Google Signals can be disabled for specific regions (Countries, specifically), while included for others. There are a number of reasons this control is important; while not necessarily a GDPR requirement, it allows entire regions to not be a part of intake. Reasons for this are typically socioeconomic and/or political
 

Granular Location and Device Data Collection

 
A number of data points including city, device information, browser versioning, and more were previously default. Some may prefer not to collect certain data points for the sake of being tighter on compliance risk. These previously default data points can now be specified regionally if they will be collected
 

New Features & Capabilities of GA4

 
Our GA language is changing. While the reasons we use GA data largely remain the same, the available data—and the best ways to answer the questions at hand—have evolved.

A number of metrics that we’ve grown accustomed to in Universal Analytics have either changed or deprecated and been replaced with something new. Let’s explore a few of the most important updates…

 

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New metrics to track

 
 
Old user behavioral measurements are on the way out. Metrics including bounce rate and average session duration will no longer be available in GA4, requiring that we start using new metrics to understand behavior. These metrics include engagement rates and engaged sessions, which are more impactful in what they describe than previously available metrics.
 

Goals are out, Conversions are in

 
While largely a change in name, the taxonomy changes slightly due to the deprecation of the category/action/label hierarchy of previous events.

It’s important to note that GA4 will count every instance of a conversion event—even if it’s occurred multiple times in one session. For instance, if the same user fills out a form 3 times in one session, that conversion will be counted 3 times. Previously, Goals could only occur once per session.
 

Pageviews are out, Views are in

 
‘Views’ is used over ‘pageviews’ in GA4 due to the combined nature of web & app properties; ‘Views’ accounts for both screenviews and pageviews.

Repeated views of the same content are all counted, as always.
 

Session is out, Session Start is in

 
The definition of what creates a session has slightly changed; a session is now determined when a specific event ‘session start’ is triggered, which generates a session ID that is appended to each event that occurs within the session.

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Sessions end after 30 minutes or the defined timeout period. Additionally, sessions no longer restart at midnight, or when new campaign parameters are encountered.
 

Bounce Rate (while still available) is out, Engagement Rate is in

 
Bounce Rate was always based on whether someone’s session duration was 0. Engagement Rate measures in the opposite direction, communicating what we were always truly looking to learn from Bounce Rate: What percentage of people are actually interacting with the site?
 

Average Session Duration is out, Average Engagement Time is in

 
While the two metrics are calculated differently, Average Engagement Time reports on what Average Session Duration was trying to touch on, but never quite got there: user focus on web or screenpages.
 

A different way to display data

 
Universal Analytics’ data model is hit-based, characterized by sessions and pageviews. Pageviews are essentially the key to the ignition, being the starting point of data collection for Universal Analytics. In GA4, this proverbial key is instead made up of events.
 

Uncovering user information with Identity Spaces

 
GA4 is equipped with four different identity methods to help in creating a unified view of cross-device user journeys:

 

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  • User – ID
  • Google signals
  • Device ID
  • Modeling

 

All data associated with the same user—or identity—is assigned to the same identity space. These identity spaces are used across all GA4 reporting, allowing brands and advertisers to de-duplicate their users list, and gain a richer understanding of their relationship and interaction with your business.
 

Multi-purpose audience lists

 
When you create Audiences in Google Analytics 4, they are automatically imported and become available for remarketing in Google Ads on the Google Search Network, Google Display Network, and YouTube. In Universal Analytics, advertisers had to recreate the audiences in Google Ads that had been created in Google Analytics.
 

Key Business Benefits of Google Analytics 4

 
 
GA4 is a step in the right direction when it comes to providing businesses with the insights that matter—and can be acted on—today, leveraging machine learning and AI components built for the nearing cookieless future.

GA4 opens the pathway to describe and collect data in the way that is most meaningful to each business. Limitations are far fewer, and strong-arming interaction into the constraints of old events becomes obsolete. Collect what you need, and analyze it at the level that is most meaningful.

It’s also notable that the free version of GA4 allows for free product linking. Previously, a GA360 license was required to link DV360, SA360, Campaign Manager 360, and BigQuery.
 

1. Unified Metric and Dimension Scopes

 
The single biggest advantage of Google Analytics 4 is the unified view between app and web.

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Collection methodology is united to “events” with traditional pageviews on a more even scope with behavioral events. Prior versions of Google Analytics required separate tagging and separate properties, with inconsistent (by default) metrics and dimensions.

 

 

Keep in mind there won’t be historical or 24h+ data when you first get into the new GA 4, but you’ll start to see data populate over time

 

2. Simplified & Organized Reporting

 
Perhaps more importantly to marketers and web analysts, with the re-scope of methodology, GA4 has brought several new reporting tools. The existing web and app reports have also been reorganized in the platform UI. Of course, the biggest benefit is the unified user view between app and website, but Google has also revamped their custom reporting tool to an “analysis hub”, which offers a bit more flexibility with custom and ad hoc reporting.
 
User interface for Google Analytics with page-by-page engagement
 

3. New Privacy-Conscious Data Controls

 
 
Unified user journey and reporting across platforms has been a difficulty since the dawn of app and web development. Google has answered (finally!), and seems to understand that these needs will continue to increase, especially with the challenges of data collection.

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As 3rd-party data collection is criticized by privacy advocates (and we observe certain platforms implement tracking restrictions), Google is prepared to shift towards using anonymized first-party data, along with consented tracking. By unifying properties, collection scopes, and announcing significant server-side capabilities, Google is shifting away from client-side dependencies.
  

A Brief Overview of What to Expect with GA4

 
Over the last few years, we have seen Users and Sessions physically change places in GA. This subtle shift was a nod to the future, encouraging marketers to begin tracking towards users over session by session data.

This shift is fully realized in GA4. Event-based tracking over hit-based tracking allows for flexibility and granularity of data not previously possible. Old required categories, like Category/Action/Label, are deprecated, and all interactions with a website are ingested at the same level of granularity.

A pageview happens at the same level of detail as a link click—as scroll depth is tracked, as conversions are recorded. This level-setting allows for flexibility that would have been more limited, making the question less about what happened in a session, and more about the behavior of a user, and the translation of data points into human actions.
  

How to Track Important Marketing Data & Create Reports in GA4

 
Within the Property Settings, a default attribution model can be set for reporting needs. A lookback window can also be specified, leveraging 30-day as the default. This is a stark difference from UA, where Last Non-Direct Click was default, and could not be changed across the account; different models were previously only comparable in a specific tab.

Google has released important notes on attribution models:

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  • Direct visits are excluded from receiving attribution credit on all attribution models unless the conversion path was only direct visits
  • Attribution models have been, and will be, introduced at different dates, with data for those models only available from their start dates forward. If you select data outside of the available date, only partial data will be seen

 
Attribution reporting previously focused on how a website acquired a user’s session, however GA4’s attribution reporting will focus on both how the user was first acquired and how a user’s subsequent sessions were acquired. Below, you’ll see reference to a number of metrics that factor in not just current sessions, but also the original method of acquisition.

You will see a number of old dimensions and metrics that utilize language like ‘First user source’ and ‘Session source’. This is used in a number of dimensions, including channel grouping and medium, to differentiate between information specific to the user’s initial acquisition as well as subsequent sessions.

New in GA4:

  • Active Users — Number of users that have been active in a 28 day period
  • Engaged Sessions — Number of sessions that lasted longer than 10 seconds, had a conversion event, or had at least 2 views
  • Engagement Rate — Percentage of total sessions that were engaged sessions
  • Average Engagement Time — Calculated summation of user engagement durations per active user
  • Event Count — Count of triggered events or hits

 

Current GA Attribution Models

 
Data-driven models — Data-driven attribution distributes credit for the conversion based on channel data for each conversion event. It differs from other models because it uses your account’s data to calculate the actual contribution of each click interaction.

Cross-channel rules-based models —These come in a number of formats, dependent on specifics:

  • Last-click gives full credit to the last channel with a click or engagement via YouTube
  • First-click gives full credit to the first channel with a click or engagement via YouTube
  • Linear gives even credit to all channels before conversion
  • Position-based gives 40% credit to each first and last, splitting the remaining 20% across all middle channels
  • Time delay gives more credit the closer the channel is to conversion, using a 7-day half life
  • Ads-preferred model gives 100% credit to the last Google Ads channel clicked through prior to converting

 

How to Migrate to Google Analytics 4 from UA & GA360

 
Because GA4 is an entirely new product, you can’t simply hit an ‘update’ button on your existing Universal Analytics or GA360 property; a new property needs to be created for GA4, and your site will need the appropriate tagging to begin collecting data.

While Google is providing a mirroring service that translates UA tags to GA4, both our and Google’s recommendation is to not rely on this solely.  Due to the inherent differences in data structure, this will likely lead to messy setups; with any errors or issues from the old setup being carried to GA4.  With the introduction of GA4, there’s the opportunity to set yourself up for success in this new age of analytics.

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Some strategic questions you’ll need to answer before implementation include:

  • Should you migrate to server-side tracking?
  • Is your existing Tag Manager or gtag integration collecting all of the data it should?
  • Is your app running the latest version of the Firebase SDK?

 
If you want to have year over year data available in GA4 before the UA and/or GA360 deprecation, a full implementation is required before the respective date for this year (July 1, 2023 for GA360). If not completed by then, GA4 will have gaps that complicate 2023 year-over-year reviews.
 

Web Properties

 
A separate tracking code needs to be added to properties. This can be done within existing Google Tag Manager integrations, with no immediate need for code development on sites that are already successfully running Tag Manager.

Sites without Tag Manager will need to upgrade their site from analytics.js to gtag.js. We recommend considering Tag Manager if this is the case, for ease of implementation for all site tags (not just Analytics).
 

Mobile Applications

 
Existing Firebase SDK integrations will need to be updated to the latest version for Google Analytics 4, and apps without Firebase will need to be implemented.

If you already have the Firebase SDK on your site, make sure you have the latest version and link the app. If your app doesn’t yet have the Firebase SDK, get started in Google Analytics.
 

Best Practices to Make the Most of GA4

 
Data is forward-facing from the date of install, so the sooner you add GA4, the more historical data you’ll have. Adding GA4 to your site now—even if you don’t yet have the time to learn the layout, or decide how you’ll use the insights—is so important because it will start capturing data immediately. GA4 will keep running in the background so that when you are ready to explore its capabilities, you’ll have some statistically significant information to work with.
 

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Take Time to Familiarize Yourself with Newly Available Insights

 
Historically, Google Analytics data has been very pageview-driven, providing information on familiar metrics to include the number of sessions and their average duration, the number of users and new users, bounce rate, and more. The data GA4 provides is more oriented toward understanding the customer lifecycle, to include information regarding acquisition, engagement, monetization, and retention.

In short, GA4 provides an entirely new way of looking at things. And a new way of looking at things can be both wonderful and overwhelming, especially if you’ve been using Google Analytics daily for many years.

Since there are so many changes to the user interface and methodology, the sooner you start planning, the better. Even if basic code is set-up on your site/app in parallel, it will allow users to familiarize themselves with the nuances of the new platform.
 

Have Your Data Cake (and eat it, too)

 
As we mentioned—at least as long as Universal Analytics is still available—you don’t have to choose. For the time being, you can have your data cake and eat it, too.

While you still have 2 profiles—UA or GA360 and GA4—we recommend using them individually and in tandem, understanding which metrics are related, or influence one another. Chances are new connections between dots will present themselves, and those enhanced understandings of how A can impact B can impact C can be invaluable.
 

Should You Make the Switch to GA4?

 
Yes—as soon as possible.

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Once Universal Analytics (UA) is retired, site owners who haven’t yet installed GA4 will be scrambling to get it implemented. We strongly recommend exporting and maintaining hard copies of historical data for your records. Data will not be transferable from UA/GA360 to GA4 properties due to how differently their data models and definitions function and operate. If you need help with this data export, Tinuiti can help!

Avoid the panicked rush by getting your site set-up well ahead of time, especially because GA data is so important. Proper implementation—with time to work out any potential kinks—is crucial; you make a lot of decisions based on GA data, so you need to be sure the information you’re working with is accurate.

With the change of the data model and how data is organized, we’re seeing a shift in how Google Analytics will be best leveraged. GA has historically been among the best ways to view and analyze, while GA4 is far better-positioned to be the nexus point of data, ready to be leveraged, particularly within Tinuiti’s own Mobius ecosystem.
 
Get in touch now to see how Tinuiti can help you assess readiness and migrate to GA4. 
 
Editor’s Note: This post was originally published by Tom Clinton in November 2020 and has been updated for freshness, accuracy, and comprehensiveness.

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Ecommerce evolution: Blurring the lines between B2B and B2C

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Ecommerce evolution: Blurring the lines between B2B and B2C

Understanding convergence 

B2B and B2C ecommerce are two distinct models of online selling. B2B ecommerce is between businesses, such as wholesalers, distributors, and manufacturers. B2C ecommerce refers to transactions between businesses like retailers and consumer brands, directly to individual shoppers. 

However, in recent years, the boundaries between these two models have started to fade. This is known as the convergence between B2B and B2C ecommerce and how they are becoming more similar and integrated. 

Source: White Paper: The evolution of the B2B Consumer Buyer (ClientPoint, Jan 2024)

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What’s driving this change? 

Ever increasing customer expectations  

Customers today expect the same level of convenience, speed, and personalization in their B2B transactions as they do in their B2C interactions. B2B buyers are increasingly influenced by their B2C experiences. They want research, compare, and purchase products online, seamlessly transitioning between devices and channels.  They also prefer to research and purchase online, using multiple devices and channels.

Forrester, 68% of buyers prefer to research on their own, online . Customers today expect the same level of convenience, speed, and personalization in their B2B transactions as they do in their B2C interactions. B2B buyers are increasingly influenced by their B2C experiences. They want research, compare, and purchase products online, seamlessly transitioning between devices and channels.  They also prefer to research and purchase online, using multiple devices and channels

Technology and omnichannel strategies

Technology enables B2B and B2C ecommerce platforms to offer more features and functionalities, such as mobile optimization, chatbots, AI, and augmented reality. Omnichannel strategies allow B2B and B2C ecommerce businesses to provide a seamless and consistent customer experience across different touchpoints, such as websites, social media, email, and physical stores. 

However, with every great leap forward comes its own set of challenges. The convergence of B2B and B2C markets means increased competition.  Businesses now not only have to compete with their traditional rivals, but also with new entrants and disruptors from different sectors. For example, Amazon Business, a B2B ecommerce platform, has become a major threat to many B2B ecommerce businesses, as it offers a wide range of products, low prices, and fast delivery

“Amazon Business has proven that B2B ecommerce can leverage popular B2C-like functionality” argues Joe Albrecht, CEO / Managing Partner, Xngage. . With features like Subscribe-and-Save (auto-replenishment), one-click buying, and curated assortments by job role or work location, they make it easy for B2B buyers to go to their website and never leave. Plus, with exceptional customer service and promotional incentives like Amazon Business Prime Days, they have created a reinforcing loyalty loop.

And yet, according to Barron’s, Amazon Business is only expected to capture 1.5% of the $5.7 Trillion addressable business market by 2025. If other B2B companies can truly become digital-first organizations, they can compete and win in this fragmented space, too.” 

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If other B2B companies can truly become digital-first organizations, they can also compete and win in this fragmented space

Joe Albrecht
CEO/Managing Partner, XNGAGE

Increasing complexity 

Another challenge is the increased complexity and cost of managing a converging ecommerce business. Businesses have to deal with different customer segments, requirements, and expectations, which may require different strategies, processes, and systems. For instance, B2B ecommerce businesses may have to handle more complex transactions, such as bulk orders, contract negotiations, and invoicing, while B2C ecommerce businesses may have to handle more customer service, returns, and loyalty programs. Moreover, B2B and B2C ecommerce businesses must invest in technology and infrastructure to support their convergence efforts, which may increase their operational and maintenance costs. 

How to win

Here are a few ways companies can get ahead of the game:

Adopt B2C-like features in B2B platforms

User-friendly design, easy navigation, product reviews, personalization, recommendations, and ratings can help B2B ecommerce businesses to attract and retain more customers, as well as to increase their conversion and retention rates.  

According to McKinsey, ecommerce businesses that offer B2C-like features like personalization can increase their revenues by 15% and reduce their costs by 20%. You can do this through personalization of your website with tools like Product Recommendations that help suggest related products to increase sales. 

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Focus on personalization and customer experience

B2B and B2C ecommerce businesses need to understand their customers’ needs, preferences, and behaviors, and tailor their offerings and interactions accordingly. Personalization and customer experience can help B2B and B2C ecommerce businesses to increase customer satisfaction, loyalty, and advocacy, as well as to improve their brand reputation and competitive advantage. According to a Salesforce report, 88% of customers say that the experience a company provides is as important as its products or services.

Related: Redefining personalization for B2B commerce

Market based on customer insights

Data and analytics can help B2B and B2C ecommerce businesses to gain insights into their customers, markets, competitors, and performance, and to optimize their strategies and operations accordingly. Data and analytics can also help B2B and B2C ecommerce businesses to identify new opportunities, trends, and innovations, and to anticipate and respond to customer needs and expectations. According to McKinsey, data-driven organizations are 23 times more likely to acquire customers, six times more likely to retain customers, and 19 times more likely to be profitable. 

What’s next? 

The convergence of B2B and B2C ecommerce is not a temporary phenomenon, but a long-term trend that will continue to shape the future of ecommerce. According to Statista, the global B2B ecommerce market is expected to reach $20.9 trillion by 2027, surpassing the B2C ecommerce market, which is expected to reach $10.5 trillion by 2027. Moreover, the report predicts that the convergence of B2B and B2C ecommerce will create new business models, such as B2B2C, B2A (business to anyone), and C2B (consumer to business). 

Therefore, B2B and B2C ecommerce businesses need to prepare for the converging ecommerce landscape and take advantage of the opportunities and challenges it presents. Here are some recommendations for B2B and B2C ecommerce businesses to navigate the converging landscape: 

  • Conduct a thorough analysis of your customers, competitors, and market, and identify the gaps and opportunities for convergence. 
  • Develop a clear vision and strategy for convergence, and align your goals, objectives, and metrics with it. 
  • Invest in technology and infrastructure that can support your convergence efforts, such as cloud, mobile, AI, and omnichannel platforms. 
  • Implement B2C-like features in your B2B platforms, and vice versa, to enhance your customer experience and satisfaction.
  • Personalize your offerings and interactions with your customers, and provide them with relevant and valuable content and solutions.
  • Leverage data and analytics to optimize your performance and decision making, and to innovate and differentiate your business.
  • Collaborate and partner with other B2B and B2C ecommerce businesses, as well as with other stakeholders, such as suppliers, distributors, and customers, to create value and synergy.
  • Monitor and evaluate your convergence efforts, and adapt and improve them as needed. 

By following these recommendations, B2B and B2C ecommerce businesses can bridge the gap between their models and create a more integrated and seamless ecommerce experience for their customers and themselves. 

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Streamlining Processes for Increased Efficiency and Results

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Streamlining Processes for Increased Efficiency and Results

How can businesses succeed nowadays when technology rules?  With competition getting tougher and customers changing their preferences often, it’s a challenge. But using marketing automation can help make things easier and get better results. And in the future, it’s going to be even more important for all kinds of businesses.

So, let’s discuss how businesses can leverage marketing automation to stay ahead and thrive.

Benefits of automation marketing automation to boost your efforts

First, let’s explore the benefits of marketing automation to supercharge your efforts:

 Marketing automation simplifies repetitive tasks, saving time and effort.

With automated workflows, processes become more efficient, leading to better productivity. For instance, automation not only streamlines tasks like email campaigns but also optimizes website speed, ensuring a seamless user experience. A faster website not only enhances customer satisfaction but also positively impacts search engine rankings, driving more organic traffic and ultimately boosting conversions.

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Automation allows for precise targeting, reaching the right audience with personalized messages.

With automated workflows, processes become more efficient, leading to better productivity. A great example of automated workflow is Pipedrive & WhatsApp Integration in which an automated welcome message pops up on their WhatsApp

within seconds once a potential customer expresses interest in your business.

Increases ROI

By optimizing campaigns and reducing manual labor, automation can significantly improve return on investment.

Leveraging automation enables businesses to scale their marketing efforts effectively, driving growth and success. Additionally, incorporating lead scoring into automated marketing processes can streamline the identification of high-potential prospects, further optimizing resource allocation and maximizing conversion rates.

Harnessing the power of marketing automation can revolutionize your marketing strategy, leading to increased efficiency, higher returns, and sustainable growth in today’s competitive market. So, why wait? Start automating your marketing efforts today and propel your business to new heights, moreover if you have just learned ways on how to create an online business

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How marketing automation can simplify operations and increase efficiency

Understanding the Change

Marketing automation has evolved significantly over time, from basic email marketing campaigns to sophisticated platforms that can manage entire marketing strategies. This progress has been fueled by advances in technology, particularly artificial intelligence (AI) and machine learning, making automation smarter and more adaptable.

One of the main reasons for this shift is the vast amount of data available to marketers today. From understanding customer demographics to analyzing behavior, the sheer volume of data is staggering. Marketing automation platforms use this data to create highly personalized and targeted campaigns, allowing businesses to connect with their audience on a deeper level.

The Emergence of AI-Powered Automation

In the future, AI-powered automation will play an even bigger role in marketing strategies. AI algorithms can analyze huge amounts of data in real-time, helping marketers identify trends, predict consumer behavior, and optimize campaigns as they go. This agility and responsiveness are crucial in today’s fast-moving digital world, where opportunities come and go in the blink of an eye. For example, we’re witnessing the rise of AI-based tools from AI website builders, to AI logo generators and even more, showing that we’re competing with time and efficiency.

Combining AI-powered automation with WordPress management services streamlines marketing efforts, enabling quick adaptation to changing trends and efficient management of online presence.

Moreover, AI can take care of routine tasks like content creation, scheduling, and testing, giving marketers more time to focus on strategic activities. By automating these repetitive tasks, businesses can work more efficiently, leading to better outcomes. AI can create social media ads tailored to specific demographics and preferences, ensuring that the content resonates with the target audience. With the help of an AI ad maker tool, businesses can efficiently produce high-quality advertisements that drive engagement and conversions across various social media platforms.

Personalization on a Large Scale

Personalization has always been important in marketing, and automation is making it possible on a larger scale. By using AI and machine learning, marketers can create tailored experiences for each customer based on their preferences, behaviors, and past interactions with the brand.  

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This level of personalization not only boosts customer satisfaction but also increases engagement and loyalty. When consumers feel understood and valued, they are more likely to become loyal customers and brand advocates. As automation technology continues to evolve, we can expect personalization to become even more advanced, enabling businesses to forge deeper connections with their audience.  As your company has tiny homes for sale California, personalized experiences will ensure each customer finds their perfect fit, fostering lasting connections.

Integration Across Channels

Another trend shaping the future of marketing automation is the integration of multiple channels into a cohesive strategy. Today’s consumers interact with brands across various touchpoints, from social media and email to websites and mobile apps. Marketing automation platforms that can seamlessly integrate these channels and deliver consistent messaging will have a competitive edge. When creating a comparison website it’s important to ensure that the platform effectively aggregates data from diverse sources and presents it in a user-friendly manner, empowering consumers to make informed decisions.

Omni-channel integration not only betters the customer experience but also provides marketers with a comprehensive view of the customer journey. By tracking interactions across channels, businesses can gain valuable insights into how consumers engage with their brand, allowing them to refine their marketing strategies for maximum impact. Lastly, integrating SEO services into omni-channel strategies boosts visibility and helps businesses better understand and engage with their customers across different platforms.

The Human Element

While automation offers many benefits, it’s crucial not to overlook the human aspect of marketing. Despite advances in AI and machine learning, there are still elements of marketing that require human creativity, empathy, and strategic thinking.

Successful marketing automation strikes a balance between technology and human expertise. By using automation to handle routine tasks and data analysis, marketers can focus on what they do best – storytelling, building relationships, and driving innovation.

Conclusion

The future of marketing automation looks promising, offering improved efficiency and results for businesses of all sizes.

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As AI continues to advance and consumer expectations change, automation will play an increasingly vital role in keeping businesses competitive.

By embracing automation technologies, marketers can simplify processes, deliver more personalized experiences, and ultimately, achieve their business goals more effectively than ever before.

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Will Google Buy HubSpot? | Content Marketing Institute

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Why Marketers Should Care About Google’s Potential HubSpot Acquisition

Google + HubSpot. Is it a thing?

This week, a flurry of news came down about Google’s consideration of purchasing HubSpot.

The prospect dismayed some. It delighted others.

But is it likely? Is it even possible? What would it mean for marketers? What does the consideration even mean for marketers?

Well, we asked CMI’s chief strategy advisor, Robert Rose, for his take. Watch this video or read on:

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Why Alphabet may want HubSpot

Alphabet, the parent company of Google, apparently is contemplating the acquisition of inbound marketing giant HubSpot.

The potential price could be in the range of $30 billion to $40 billion. That would make Alphabet’s largest acquisition by far. The current deal holding that title happened in 2011 when it acquired Motorola Mobility for more than $12 billion. It later sold it to Lenovo for less than $3 billion.

If the HubSpot deal happens, it would not be in character with what the classic evil villain has been doing for the past 20 years.

At first glance, you might think the deal would make no sense. Why would Google want to spend three times as much as it’s ever spent to get into the inbound marketing — the CRM and marketing automation business?

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At a second glance, it makes a ton of sense.

I don’t know if you’ve noticed, but I and others at CMI spend a lot of time discussing privacy, owned media, and the deprecation of the third-party cookie. I just talked about it two weeks ago. It’s really happening.

All that oxygen being sucked out of the ad tech space presents a compelling case that Alphabet should diversify from third-party data and classic surveillance-based marketing.

Yes, this potential acquisition is about data. HubSpot would give Alphabet the keys to the kingdom of 205,000 business customers — and their customers’ data that almost certainly numbers in the tens of millions. Alphabet would also gain access to the content, marketing, and sales information those customers consumed.

Conversely, the deal would provide an immediate tip of the spear for HubSpot clients to create more targeted programs in the Alphabet ecosystem and upload their data to drive even more personalized experiences on their own properties and connect them to the Google Workspace infrastructure.

When you add in the idea of Gemini, you can start to see how Google might monetize its generative AI tool beyond figuring out how to use it on ads on search results pages.

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What acquisition could mean for HubSpot customers

I may be stretching here but imagine this world. As a Hubspoogle customer, you can access an interface that prioritizes your owned media data (e.g., your website, your e-commerce catalog, blog) when Google’s Gemini answers a question).

Recent reports also say Google may put up a paywall around the new premium features of its artificial intelligence-powered Search Generative Experience. Imagine this as the new gating for marketing. In other words, users can subscribe to Google’s AI for free, but Hubspoogle customers can access that data and use it to create targeted offers.

The acquisition of HubSpot would immediately make Google Workspace a more robust competitor to Microsoft 365 Office for small- and medium-sized businesses as they would receive the ADDED capability of inbound marketing.

But in the world of rented land where Google is the landlord, the government will take notice of the acquisition. But — and it’s a big but, I cannot lie (yes, I just did that). The big but is whether this acquisition dance can happen without going afoul of regulatory issues.

Some analysts say it should be no problem. Others say, “Yeah, it wouldn’t go.” Either way, would anybody touch it in an election year? That’s a whole other story.

What marketers should realize

So, what’s my takeaway?

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It’s a remote chance that Google will jump on this hard, but stranger things have happened. It would be an exciting disruption in the market.

The sure bet is this. The acquisition conversation — as if you needed more data points — says getting good at owned media to attract and build audiences and using that first-party data to provide better communication and collaboration with your customers are a must.

It’s just a matter of time until Google makes a move. They might just be testing the waters now, but they will move here. But no matter what they do, if you have your customer data house in order, you’ll be primed for success.

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Cover image by Joseph Kalinowski/Content Marketing Institute

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