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3 ways B2B marketers can use generative AI

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3 ways B2B marketers can use generative AI

As technology and automation evolve, B2B marketers can access tools and information faster than ever. With the rapid adoption of generative AI, that evolution is happening in real time. As B2B marketers, we must embrace and use this technology to our advantage. 

This article will cover three ways to use generative AI: keyword research, content creation and data analysis. Doing so will completely change your approach to how you market products and services across the digital ecosystem, leaving competitors who are not up to speed in the dust.

Unleashing the power of generative AI in keyword research

Traditional keyword research includes many methods, but they all have one thing in common: It’s a manual process. Some paid tools, free tools and plug-ins can help marketers analyze keywords, but this takes time and effort. It can also be costly when outsourcing this work to an agency. Even so, keyword research is an integral part of marketing. It should never be skipped or overlooked.

Some of the tools marketers use for keyword research include Google Keyword Planner, Google Search Console, Semrush and Surfer SEO which integrate AI into the platform. Browser plugins like MozBar and Keyword Research have also come a long way and continue to add value to B2B marketers.

Up to 44.5% of marketers use generative AI for keyword research. Platforms like ChatGPT can help marketers be more efficient with keyword research. SEO automation speeds up the process and makes it easier to find keywords, but humans are still required to ensure that generated keywords are relevant, make sense and fit the context. While AI outputs are improving daily, smart prompt engineering is now becoming a critical skill marketers need to learn to achieve better results.

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Using generative AI for keyword research has many benefits, such as improving efficiency and accuracy and finding keywords that have yet to be used before. They speed up research and give users a competitive edge by letting them respond quickly to changes in search behavior.

These models also develop more specific and valuable keywords, ensuring marketing efforts reach the right people. Generative AI models can find low-volume or long-tail keywords that make it easier to rank content. 

Even though generative AI models for keyword research have plenty of potential, a few challenges should be addressed. For example, if you rely too much on AI, you might optimize content with keywords that could be taken out of context. The accidental spread of biases in the AI data could lead to keywords that could harm your brand reputation.

The biggest challenge with generative AI is that it lacks cultural context. Global multinational companies with markets everywhere could have an issue with using AI to optimize for local languages and ensure that all the content aligns culturally, considering slang and other local issues.

To overcome these challenges, finding a balance between AI-generated results and human oversight is essential.

Dig deeper: The end of marketing or a new beginning? The truth about AI

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Integrating generative AI models into content development

The significance of content in digital marketing cannot be overstated. It enables B2B and technology companies to engage with target audiences, elevate brand recognition and establish an integrated marketing program deployed across all channels.

High-quality and relevant content that delivers value results in customer trust and loyalty. Companies must always prioritize content to thrive in the highly competitive digital landscape.

Like keyword research, content creation is a labor-intensive process. Marketers frequently invest considerable effort into writing long-form content like blogs, white papers, ebooks and reports. They also write short-form content for social media, headlines and other ad copy.

It’s also common for marketers to outsource content production to agencies, freelancers or copywriting platforms like Compose.ly. This increases expenses and complicates communication. Consequently, traditional content generation methods consume substantial time and resources.

ChatGPT and similar platforms offer marketers unprecedented opportunities to enhance all content creation and production. These models can generate content that appears to be handcrafted, ensuring consistency in the brand’s voice and simplifying the creation of diverse, engaging and contextually relevant content. 

However, marketers must always balance AI with an added layer of human supervision when employing generative AI in content development. While these models can expedite content production, human context remains necessary to ensure coherence, accuracy and cultural relevance. By incorporating feedback loops and refining procedures, marketers can achieve an equilibrium between AI-generated content and human expertise, ultimately enhancing content quality and efficacy.

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The advantages of generative AI for content production include accelerated processes, increased precision and the capacity to generate substantial volumes of content. These models can rapidly create high-quality material, allowing marketers to respond to market fluctuations and seize real-time engagement opportunities.

Additionally, generative AI can generate accurate and relevant content tailored to specific audiences, ensuring the success of digital marketing campaigns. Producing high volumes of content allows marketers to think more strategically instead of writing a blog post.

Despite the transformative potential of generative AI, specific challenges exist. For instance, current AI technology can not fully grasp the cultural or business context, which could result in superficial or nonsensical content.

Ownership and copyright concerns may emerge as AI-generated content obscures the distinction between human and machine authorship. Transparency is vital in AI-generated content to preserve audience trust and mitigate misinformation.

Businesses must proceed cautiously when incorporating generative AI in content creation, ensuring that human oversight and transparency remain indispensable components.

Dig deeper: 5 AI writing assistants in action

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Using generative AI in data analysis

Generative AI models bring in a new era of advanced data visualization. These methods enable real-time data tracking and dashboard creation, complex network visualization and various data display options. As a result, organizations may obtain the most up-to-date information, make informed decisions and quickly adjust to market shifts by leveraging real-time monitoring.

Detailed network visualization reveals the complicated connections between data points, providing crucial insights into the interactions between different data points. This multidimensional data representation allows businesses to understand each component of their marketing campaign performance.

AI models can likewise help marketers extract actionable insights from data. With the right prompts, AI outputs can find anomalies and outliers, assess feelings and emotions, segment markets and develop buyer personas. 

Anomaly detection identifies unusual variances that may indicate possible problems or possibilities. This is extremely helpful when managing large paid media campaigns across paid search and display ads. 

When analyzing large conversational data sets, AI outputs can find the emotional impact of the content through sentiment analysis and emotion recognition. Market segmentation and consumer profiling help organizations focus their marketing efforts by allowing them to modify their strategy accordingly.

Generative AI models can also improve predictive analytics. For example, time series forecasting uses historical data to predict future trends and events. Machine learning algorithms are critical in generating data-driven predictive models. Generative AI models lead to more accurate forecasts by developing these methodologies, which can help predict campaign performance.

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Text analytics has also advanced significantly. Topic modeling and document clustering, network analysis, named entity recognition and relationship extraction, text summarization and content production are all tasks that use these models. 

Topic modeling identifies fundamental topics in large data sets like social media mentions, call center transcripts or media coverage. It can help find patterns of hidden context and narratives.

Network analysis reveals the connections between diverse communities, named entity identification and relationship extraction, on the other hand, reveal connections between separate entities. These text analyses can help marketers identify higher-authority influencers and content creators.

Generative AI is also making social media analysis more efficient. Social network analysis and community detection reveal the links between people in online communities, revealing user behavior and interests. 

Trend analysis and hashtag monitoring measure the popularity of specific subjects and discussions, allowing marketers to keep up with industry developments and trending topics. Influencer identification and interaction make finding notable industry individuals and future collaboration opportunities easier.

Making the most of generative AI in your B2B marketing efforts

As the digital marketing landscape changes, B2B marketers must use cutting-edge technologies to stay ahead of the curve. The good news is several generative AI statistics show marketers are starting to adopt this new technology, and for a good reason.

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Generative AI can potentially change keyword research, content creation and data analysis in ways that have never been seen before. This will usher in a new era of data-driven and integrated marketing strategies. Even though there are still challenges and limits, generative AI models can lead to incredible results when used wisely and with human expertise and oversight.


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Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed 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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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.

Want more content marketing tips, insights, and examples? Subscribe to workday or weekly emails from CMI.

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Cover image by Joseph Kalinowski/Content Marketing Institute

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