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Native Advertising: An Introduction for PPC Marketers

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Consumer priorities are shifting rapidly as the world faces an unprecedented healthcare crisis.

Sensitivity to consumers’ needs is more critical than ever.

Brands must think carefully about how to engage with consumers in meaningful ways that not only increase conversions but help build brand trust.

Throughout the day, we consume content from blogs, news channels, television shows, social media channels, etc.

All of that content has the potential for native ad placements, which is why the native industry can be complex.

Advertisers know that in order to reach their target customers, they need to have a presence on channels where consumers spend their time.

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This is where native comes into play.

Native advertising has been around for about a decade, but through the use of AI and machine learning to power its audience-first targeting, it’s more powerful and effective than ever.

According to an IPG Media Lab study, 71% of consumers say they personally identify with a brand after viewing its native ads.

Is Content Network Targeting the Same as Native?

In short, no.

The content networks or yore through Microsoft Advertising and Google Ads was contextual targeting at its simplest – it predominately was keyword-based targeting on a syndicated network of content that allowed text ads to appear near various types of content such as text, videos, images.

The impression volumes were high and the click-through rates were low and the conversion rates were dismal.

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But for most the goal of the content network was never last-click attribution – it was to drive reach and awareness (at first.)

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But native today isn’t the contextual targeting of yore.

Microsoft deprecated the content network in 2017.

However, Google Ads still allows content targeting in the Google Display network.

Unlike the content network, native ad placements are not based on the keyword or the keywords within the article on page, they are based on audience targeting.

It is worth noting that Google Ads still allows content targeting in the Google Display Network based on:

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  • Topics: Pages about specific topics. Google Ads uses factors such as text, language, links and page structure to determine the topics of a page.
  • Placement: Specific websites, or subsets of a website.
  • Keywords: Just that, keywords.
  • Display expansion for search: A combination of automated bidding and smart targeting.

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What Is Native Advertising?

According to the Native Advertising Institute, native advertising is paid advertising that matches the form, feel, and function of the content media and platform upon which it appears.

The publisher controls and is responsible for rendering the ad.

Unlike display ads or banner ads, native ads don’t really look like ads; rather, they look like part of the editorial flow of the webpage.

For example, a native ad might show up within an article you’re reading on your favorite online news source, or as a post on your Facebook feed.

Native ads are intentionally non-disruptive and more contextual than display or banner ads.

According to the Interactive Advertising Bureau (IAB), there are six types of native advertising:

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  • Paid search ads appear at the top of — and look like part of — your Google search results.
  • In-feed placements appear directly in the article or blog post.
  • Recommendation widgets appear on a publisher’s website and presents recommended content or products that are related to the content you’re already consuming.
  • In-Ad with native elements look like typical ads but they are contextually relevant to the site on which they appear or the content you’re consuming.
  • Custom ads can appear within your app interface, such as a new filter in Snapchat.
  • Promoted listings, also referred sometimes as sponsored content, are designed to fit seamlessly into the browsing experience.

Sharethrough reports that native ads receive 53% more views than traditional display ads and increase purchase intent by 18%.

It’s no wonder two-thirds of all display spend ($44 billion) was spent on native advertising in the U.S. in 2019 and accounted for 61% of total digital display ad spending.

Is Native Advertising Programmatic?

It depends. (A marketer’s favorite answer.)

Programmatic is an automated way to buy the advertising placements.

Programmatic marketing uses real-time systems, rules, and algorithms to automate either targeted placements and/or creative experiences (ads themselves.)

Programmatic native ads add more power by leveraging machine learning and contextual signals to customize the ads by placing them at the appropriate place to reach the right audience and the audience preference.

Not all native advertising is programmatic.

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Is Google Display Native Advertising?

Yes, Google Display & Video 360 has native creative formats that can be integrated into a display campaign.

The native creative can target:

  • App install (Google Play or Apple App Store).
  • Site creative (square or rectangular display format).
  • Video (similar to site creative, but uses video instead of an image.)

The native creative is based on a bundle of assets and can include the following components: an image or video, headline, body text, call to action, logo or advertiser name.

” alt=”Examples of Google Display & Video 360 native ads ” width=”600″ height=”255″ data-src=”https://cdn.searchenginejournal.com/wp-content/uploads/2020/03/googledisplay-video360-example-5e8383aec78c5.png” data-=”” />

Is Microsoft Advertising Native Advertising?

Yes, Microsoft Advertising has native ads through the Microsoft Audience network.

It is a programmatic native ads platform that pulls in audience data and intent signals from the Microsoft Advertising Graph to determine optimal placements at scale.

” alt=”Visual examples of Microsoft Audience network placements for image ads, text ads, and product ads across the audience network.” width=”936″ height=”661″ data-src=”https://cdn.searchenginejournal.com/wp-content/uploads/2020/03/microsoftaudienceads-examples-5e838860b338a.png” data-=”” />

Currently, Microsoft Audience Ads are available in three formats:

  • Image ads.
  • Text Ads.
  • Product Ads.

They can be set up as part of an existing search campaign that is extended to native or as a separate audience campaign.

Even if you choose to opt into the Microsoft Audience network from within your search campaigns, the ad placement is based on audience targeting using the Microsoft Graph.

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The Microsoft Advertising Graph captures billions of signals across our consumer products, such as browsing data, search history and behavior, and deep profile data from LinkedIn.

Microsoft’s audience network spans:

  • A wide range of brand-safe environments, including MSN, Outlook.com, and Microsoft Edge.
  • Select premium partner properties such as CBS Sports, Everyday Health, Fox Business, the Atlantic, Apartment Therapy, and Reuters.

According to ComScore, the Microsoft Audience Network reaches 92% of the online audience throughout the U.S.

AI-Powered Placements Focused on Quality & Giving Complete Control to the Advertiser

The audience network was created with two priorities in mind: quality and control.

  • Quality results from high-quality placements of highly relevant ads.
  • Control encompasses its ability to provide brand-safe environments and data privacy.

Microsoft enforces strict publisher standards and reviews and publisher partners are closely managed and thoroughly vetted.

There is an ongoing ad placement quality monitoring and controls to help you manage where your ads appear, as well.

Global blocklists and the ability to exclude certain sites gives you even more control – and peace of mind.

The Success of Native Advertising Depends on Trust

Native advertising has grown in popularity because of success with engaging audiences and their ability to connect brands to consumers effectively.

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However, when consumers don’t trust a brand, native ads lose their effectiveness.

Likewise, marketers also believe that they need to trust the distribution channels and environments their ads appear.

eMarketer’s 2018 study, The Brand Saftey Dilemma, found that 57.5% of more than 100 CMOs surveyed stated that they will focus their future advertising spendings on whether a distribution channel can provide secure environments.

How do organizations establish and maintain consumer trust?

By putting long-term strategies in place for actively engaging with consumers, listening and acting on customer feedback, adhering to data privacy and protection, and being transparent and authentic.

iProspect proposes that there are three key components to consumer trust: credibility, relevance, and reliability.

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  • Is your brand competent and legitimate?
  • Do you listen to and act on customer feedback and provide relevant content, products, and services?
  • Do you deliver a consistent experience that meets customer expectations across every customer interaction?

Brands that can answer yes to these questions are earning consumer trust, and native advertising done well can reinforce this effort by helping them deliver credible, relevant and consistent messaging.

With many available offerings, it’s critical to choose the right advertising partner – one that will enable you to get the best return on your investment.

Native Case Studies: Reaching Untapped Audiences

By applying advanced AI algorithms to this set of user attributes, Microsoft can determine when and on what platforms to reach users with highly relevant content, without damaging the trust those users have in your brand.

Ads are credible, relevant and consistent – but not invasive or intrusive.

As a result, click-through rates on the Microsoft Audience Network are consistently higher than on other native platforms delivering ads on those same properties.

For example, based on partner and internal data, click-through rates are consistently higher than other native platforms that are delivering ads across the same properties:

  • 2X higher on MSN Infopane.
  • 1.2X higher on Outlook.com.
  • 3X higher on publisher partner sites.

Driving Awareness & Leads Across Volvo’s Funnel

Volvo and marketing agency Mindshare decided to test the Microsoft Audience network as a strategy to support awareness and help maintain sales for their best-seller the XC90 luxury SUV.

Mindshare used audience campaigns to scale their marketing efforts, keeping the ads visually consistent with their social media efforts and using streamlined ad copy to reach their target audiences.

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They combined LinkedIn, gender, remarketing and In-Market audience data to find new audiences to target and to uncover previously untapped audiences.

The campaign drove significant traffic and exceeded their expectations with conversions:

  • 65,000 incremental site visits.
  • 83% increase in clicks from remarketing.
  • CPA on-par with their non-brand search campaigns.

Buyzone Driving Leads & Reaching Untapped B2B Audiences

Running native campaigns in conjunction with search campaigns helped Buyerzone reach business-to-business audience.

Buyerzone connects buyers with sellers in real-time. Like many lead generation companies, they were looking for conversions they can monetize into leads that can then be sold to a seller.

They needed native to be a cost effective buy that would not only drive leads, but leads that convereted for their sellers.

Buyerzone was a beta-tester of native ads through the Microsoft Audience network and saw:

  • 1,700% increase in impressions.
  • 20% profit increase on top of their traditional search campaigns.
  • 75% decrease in CPC.

Alan Barish, senior online marketing analyst from BuyerZone said, “almost every single conversion we’ve gotten from the Microsoft Audience Network has converted into a lead, which is amazing.”

Native combined with search can help advertisers reach new audiences across the funnel to help drive growth that is incremental to their existing search campaigns.

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Maintaining Trust & Engagement in Uncertain Times

Never in modern history has it been so critical to create meaningful connections between your brand and consumers, and earn and maintain their trust.

With data privacy rising to the forefront of consumers’ consciousness and as recent global events add complexity to the consumer-brand dynamic, delivering targeted, trusted and relevant content is a critical strategy for continued business growth.

Be thoughtful with your images and your copy during these challenging times so that your native ads don’t come across as tone-deaf.

Start with a foundation of trust, success is inevitable.

Test using native as a way for your brand to make meaningful connections with consumers that build trust and drive conversions, setting the stage for ongoing credibility, relevance, and consistency, even in uncertain times.

More Resources:

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Image Credits

All screenshots taken by author, March 2020

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Tinuiti Marketing Analytics Recognized by Forrester

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Tinuiti Marketing Analytics Recognized by Forrester

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By Tinuiti Team

Rapid Media Mix Modeling and Proprietary Tech Transform Brand Performance

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Tinuiti, the largest independent full-funnel performance marketing agency, has been included in a recent Forrester Research report titled, “The Marketing Analytics Landscape, Q2 2024.” This report comprehensively overviews marketing analytics markets, use cases, and capabilities. B2C marketing leaders can use this research by Principal Analyst Tina Moffett to understand the intersection of marketing analytics capabilities and use cases to determine the vendor or service provider best positioned for their analytics and insights needs. Moffett describes the top marketing analytics markets as advertising agencies, marketing dashboards and business intelligence tools, marketing measurement and optimization platforms and service providers, and media analytics tools.

As an advertising agency, we believe Tinuiti is uniquely positioned to manage advertising campaigns for brands including buying, targeting, and measurement. Our proprietary measurement technology, Bliss Point by Tinuiti, allows us to measure the optimal level of investment to maximize impact and efficiency. According to the Forrester report, “only 30% of B2C marketing decision-makers say their organization uses marketing or media mix modeling (MMM),” so having a partner that knows, embraces, and utilizes MMM is important. As Tina astutely explains, data-driven agencies have amplified their marketing analytics competencies with data science expertise; and proprietary tools; and tailored their marketing analytics techniques based on industry, business, and data challenges. 

Our Rapid Media Mix Modeling sets a new standard in the market with its exceptional speed, precision, and transparency. Our patented tech includes Rapid Media Mix Modeling, Always-on Incrementality, Brand Equity, Creative Insights, and Forecasting – it will get you to your Marketing Bliss Point in each channel, across your entire media mix, and your overall brand performance. 

As a marketing leader you may ask yourself: 

  • How much of our marketing budget should we allocate to driving store traffic versus e-commerce traffic?
  • How should we allocate our budget by channel to generate the most traffic and revenue possible?
  • How many customers did we acquire in a specific region with our media spend?
  • What is the impact of seasonality on our media mix?
  • How should we adjust our budget accordingly?
  • What is the optimal marketing channel mix to maximize brand awareness? 

These are just a few of the questions that Bliss Point by Tinuiti can help you answer.

Learn more about our customer-obsessed, product-enabled, and fully integrated approach and how we’ve helped fuel full-funnel outcomes for the world’s most digital-forward brands like Poppi & Toms.

The Landscape report is available online to Forrester customers or for purchase here

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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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