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Why we care about adtech: The complete guide

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Why we care about adtech: The complete guide

The boom for marketing technology has not left behind advertising technology, or adtech, but the digital acceleration wrought by the COVID pandemic has sped things up more. In fact, between the third quarter of 2020 and the third quarter of 2021, there was a 125% increase in M&A activity for adtech platforms, including several high-profile deals in 2021 like Mediaocean’s acquisition of Flashtalking for $500 million and AdTheorent’s $1 billion SPAC deal to go public.

Advertisers are willing to invest in adtech for its ability to attract a target audience and generate strong insights. But, there is another reason marketers are taking a fresh look at these technologies.

The pending loss of third-party cookies means contextual advertising will become more important than in the past and adtech is essential to marketers who are looking for ways to access customers through contextual data.

Adtech also gives marketers incredible reach since it connects them to all media. These technologies are especially powerful as most media transforms to digital or digital-first.

This guide is meant to give marketers a comprehensive overview of not only what adtech is, but how it is evolving and shaping the future of marketing. We’ll cover:

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Estimated reading time: 14 minutes

What is adtech?

Advertising technology describes the software and the tools used by advertisers to deliver targeted digital ads to consumers. Adtech aims to create data-driven marketing strategies tailored to match the target audience’s preferences. It streamlines the increasingly complex processes of buying and selling digital advertisements and enables brands to make the best use of their budget, maximizing their ROI.

Adtech includes various tools and technologies that help advertisers, agencies, and brands achieve greater efficiency, targeted reach, and real-time analysis and optimization. It can help marketers improve omnichannel engagement by targeting customers across many channels. What’s more, adtech may encompass programmatic technologies that use automation to enhance the media buying process.

Ultimately, adtech is a set of technologies and platforms brands and agencies can use to optimize their advertising operations. Successful campaigns use it to glean actionable data and send audiences the most relevant ads.

The components of adtech

Advertising technology is relatively straightforward, but there are a few key components that show why it’s a great asset for brands.

Programmatic ad-buying

Adtech uses programmatic ad buying to increase the efficiency and reach of digital advertising. At its core, programmatic ad buying is software-driven technology that seeks to automate all or parts of the ad buying process that were previously done manually. This has two benefits:

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  • Ad buying efficiency: Programmatic advertising improves the speed and scale of the ad buying process. This speed cannot be achieved manually. 
  • Ad targeting relevancy: Programmatic advertising allows advertisers to embed large amounts of data from multiple sources. This leads to users seeing more relevant ads based on their psychographic, demographic, and behavioral patterns. As users see more relevant ads, click-through rates improve, leading to a better ROI.

Programmatic ad-buying makes decisions regarding the placement and buying of ads using AI and real-time bidding (RTB) for online display, mobile, and video campaigns.

Programmatic ad-buying makes it easier to target your ideal audience since you’re essentially buying ad space that reaches a focused demographic instead of purchasing a prime time TV spot and hoping your target market is watching. Programmatic ad-buying also gives companies a unique and real-time insight into the reach of their advertisements. So, in turn, it ensures efficient spending and improves branding.

Finally, programmatic branding is often cheaper than traditional alternatives and is a good ground for experimentation. For example, you could use YouTube ads to test their effectiveness and use the results to help you decide which ads to air on TV.

Unfortunately, programmatic advertising is still susceptible to a fair share of fraud. Ad fraud typically refers to the following:

  • The presence of non-human traffic, which can range from simple to sophisticated bots to even entirely botnet servers.
  • Zero percent viewability caused by invisible ads, arbitrage, domain spoofing, site bundling, click farms, etc.
  • Intentionally misrepresented ads.

The open nature of programmatic advertising may, unfortunately, allow bad-faith actors to defile and actively cheat the system. Since anyone can offer or buy an ad, it runs the risk of fraud, which these bad-faith actors get away with since ad fraud laws are yet murky in many countries.

John Wanamaker quote on advertising

Demand and supply-side platforms

Adtech comprises two primary platforms: demand and supply-side. While demand-side platforms (DSPs) are used by digital advertising buyers to manage programmatic ad buying, supply-side platforms (SSPs) are used by publishers to sell digital ads in online auctions.

demand and supply side platform process in adtech

Demand-side platforms. DSPs automate the ad-buying process by deciding how much to bid on an ad impression in real-time. This decision is made the instant an ad impression is available on a publisher’s website or app, depending on the advertiser’s requirements. DSPs often use the outcomes of ad clicks, such as ROI and cost per acquisition, to ensure ad campaigns are optimized.

They reduce the need for constant back and forth communication between advertisers and publishers, increasing the efficiency of the ad buying process. DSPs analyze the best ad impressions as well as the price at which they should be bought through real-time bidding (RTB). This entire process takes just a few milliseconds.

If you are confused about the differences between DSPs and Google’s AdWords, here are a few key differentiators:

  • The extent of their reach: DSPs can reach over 15 billion impressions a day, a number that AdWords does not come close to. 
  • Targeting options: The targeting ability of DSPs is more advanced than AdWords due to real-time bidding.
  • Data freshness and granularity: Advertisers can check the performance of their campaigns better through DSPs.
  • Pricing: The pricing mechanism is different. AdWords functions on a CPC model.
  • Accessibility: While DSPs are difficult to use for most companies because of the high monthly minimums, AdWords is relatively easier because of the ease of use and the CPC (cost per click) model.

Some of the major players in the DSP market are XandrAudienceScienceMediaMath, and LiveRamp. Some companies also have agency trading desks (ATDs), which in essence act as in-house DSPs.

Supply-side platforms. Supply-side platforms (SSP), or yield-optimizing platforms, are mainly used by digital publishers to manage the sale of their advertising supply while maximizing prices. SSPs are similar to their demand-side counterparts, but instead, they are designed for publishers to sell ad impressions at the highest CPM (cost-per-thousand impressions).

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SSPs operate by opening up publishers’ inventories to bidding from advertisers on ad exchanges and ad networks. The core principle is to drive up prices of ad impressions by inviting a large number of bidders. This ultimately yields higher CPMs.

By automating the process of selling ads, SSPs increase the functional efficiency of the process in two ways. Firstly, they cut out the need for traditional back-and-forth negotiations between publishers and advertisers, making the process faster and cheaper. And secondly, they allow publishers to use a large amount of data that isn’t available in the manual buying process.

While many SSPs have amassed publishers whose inventories they manage and sell (effectively acting as an ad exchange), they are not the same as ad exchanges. For example, SSPs often connect to multiple ad exchanges, ad networks, and DSPs. They also grant publishers the ability to set price floors on some bids or make some inventory exclusive to specific buyers.

How is adtech changing the marketing landscape?

Some argue that advertising, and adtech by extension, refer to purchasing media for exposure to potential customers. On the other hand, marketing implies the communication of products and services with identifiable prospects and consumers. In other words, adtech is for media buys, and martech is for customer personalization.

But consumers don’t distinguish between adtech and martech. Most users interact with brands across multiple touchpoints and prefer to receive a seamless, coherent brand message across all platforms. It, therefore, makes sense for advertising and marketing teams to join forces. For example, businesses could use CRM data to promote brand awareness campaigns or personalize websites using adtech data management platforms or DMPs.

The unique insight into customer data provided by martech stacks can be used in adtech through email address, physical address, IP address, or UDID to reach customers at the right time. The issue is that this data is often separated from the adtech stack due to department silos — a remnant of non-digital media. But, with increasing privacy concerns, marketers will have to develop more people-centric solutions to get buy-in.

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People-centric marketing

People-centric marketing combines adtech and marketing technology and can reach potential customers by integrating their individual preferences and past behavior into advertisements. This strategy seeks to optimize sales and increases the chances of eliciting a positive response from customers.

This data-driven approach aims to foster brand loyalty among existing customers while also appealing to new ones. However, this is possible only if the marketing strategy adopted by the brand focuses on utilizing data to reach their customers rather than opting for more traditional approaches.

Improving addressability and eliminating silos

Addressable advertising refers to the advertising that links individual consumers with brands across multiple online channels, social media, OTT, etc. This is a direct outcome of the personalization of ad content – since consumers are used to ads being specifically targeted at them, anything that falls short of this metric will be rendered ineffective.

Advertisers could provide their ad agencies or in-house DSPs with more accurate measures of their inventory and programs. In combination with programmatic ad-buying, the outcome would be genuinely addressable impressions that could eventually generate revenue and sales.

Adtech can create people-centric marketing platforms by utilizing individual and household data about demographics, purchase history, digital engagement, and other attributes like consumption of media. This can link the brand’s existing customer data, third-party data, and ad platform user data to create a people-centric strategy for advertising. The retargeting and engagement potential of such a combination can transform campaigns.

The challenges of adtech

Despite being the next big thing in marketing and having shown incredible ROI, one of the main reasons brands have chosen to stay distant from adtech in the past is monopolization. Google and Facebook retain their positions as the dominant forces in the adtech sector.

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Both Google and Facebook have taken a massive lead in adtech by amassing vast amounts of data. And while the cost of advertising on Facebook fell during the pandemic, it has begun rapidly rising again. Facebook also faced criticism due to allegedly misrepresenting data to make their ad spots seem more lucrative to brands.

But no company can match Google in their acquisition of user data. It controls a large number of ad platforms and marketplaces for ad transactions, including YouTube. And Meta isn’t far behind.

Why we care about adtech The complete guide

The result is that many advertisers are compelled to make deals with Google and other large advertisers due to the lack of viable alternatives.

The death of the third-party cookie

For many decades now, marketers have relied on third-party cookies to track and store consumer data online. In 2019, Apple’s Intelligent Tracking Prevention (ITP) and Firefox’s Enhanced Tracking Protection (ETP) started blocking third-party cookies by default. In the same year, Google Chrome offered users the ability to block cookies on websites they visit. While Google’s initial plan was to deprecate cookies by 2022, they have recently updated their plans to phase out cookies by 2023.

Google is the leading collector of user data. Users’ information is tracked any time they watch a video, browse through posts online, or even casually surf the web. Given Google’s dominance in the advertising market and control of over 63% of the browser market, their optional version of the ITP will surely spell death for third-party cookies.

Since this transition could put them under fire from antitrust laws, Google has been cautious in marketing their version of the ITP as a privacy benefit to users. Engineering VP Prabhakar Raghavan explained this shift in a blog post: “Our experience shows that people prefer ads that are personalized to their needs and interests—but only if those ads offer transparency, choice, and control.”

So, what happens in the absence of third-party cookies?

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Contextual ad targeting

GDPR, CCPA, and other data privacy regulations spell the end of behavioral audience targeting, leaving many marketers searching for alternatives. Enter contextual ad targeting, an advertising method that uses the digital content audiences experience to serve up relevant ads.

Contextual advertising isn’t a new concept, but new machine learning and natural language processing (NLP) capabilities have opened up new opportunities. GumGum, a contextual advertising company, and SPARK Neuro, a neuroanalytics company, performed a study on just how effective this process can be. Using biometric sensors to monitor participants’ brain activity while viewing articles with ads related to the content, the study found that these ads generated 43% more neural engagement and 2.2 times better ad recall.

It should be noted that contextual advertising isn’t just about providing relevant ad content – marketers should consider which types of ads will perform best based on device, time, location, and other factors. Identity resolution technology can help ensure the insights gained from audiences are accurate and actionable, allowing for greater ad contextualization and personalization.


Why we care about adtech The complete guide

Identity resolution is not only critical to marketing success but is essential for compliance with consumer privacy laws such as CCPA and GDPR. Explore the platforms essential to identity resolution in the latest edition of this MarTech Intelligence Report.

Click here to download!


First-party cookies

First-party cookies have been essential to the web-browsing experience for a while now. They are codes generated and stored on a brand’s website whenever a user visits the site. First-party cookies are often essential to a user’s web browsing experience.

First-party cookies are used to remember passwords, basic information, and preferences. They are paramount to most e-commerce websites; for example, when users save an item in their cart on Amazon, they expect to see the same cart upon logging back in. However, in the absence of first-party cookies, the cart would be refreshed and empty every time they visit Amazon.

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The deprecation of the cookie refers solely to the third-party cookies, leaving first-part cookies as a means of collecting user information relatively untouched. This allows marketers to continue accessing and storing user information and use it in their ads.

Consent management platforms

Consent management platforms (CMPs) will still be relevant in the marketing sphere, with a greater emphasis on user consent and privacy. It has been seen that customers who restrict the information they share with brands show better ROI for advertisers.

The demise of cookies does not mean a lack of user data collection. As Zack Meszaros, marketing privacy engineer at OneTrust PreferenceChoice, says: “It’s [the death of cookies] not equal to the death of us collecting information … some of that first- and zero-party data we get could still be shared with third parties.”

CMPs allow marketers to build proprietary data sets from information that consumers have consented to part with. Clearly, data collection will continue even if it isn’t in the third-party format.

What is the future of adtech?

The consolidation of marketing technology with adtech holds immense potential. Advertising is an extremely dynamic industry, and constantly adapting to the times is the only way for marketers to survive and thrive.

Personalized ads make all the difference and are an integral part of the customer journey. But, to ensure this messaging resonates with audiences, brands must rely on technologies that deliver actionable first-party customer data and insights. We believe adtech tools and platforms will continue to adopt greater privacy compliance and data consolidation functionalities to help brands connect with their target markets. In fact, we already see the big tech brands moving in this direction.

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The data-driven, customer-centric approach of adtech is the future of advertising. It leads to more relevant ads for the users and better ROI for advertisers — a big win-win scenario for all!

Ways to learn more about adtech

The adtech landscape is in a state of constant flux. The increasing privacy concerns, coupled with advancing digital technologies, means marketers need to be aware of the assets available to keep their campaigns going strong.

Here are some helpful adtech resources to help you choose the best solution for your organization:

If you have any other questions regarding adtech and the digital advertising landscape as a whole, we encourage you to explore our resource library.


About The Author

1647397546 471 Why we care about adtech The complete guide
Akshat Biyani is a Contributing Editor to MarTech, a former analyst who has a strong interest in writing about technology and its effect on marketing.


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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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