6 Useful Applications of AI to Empower Your B2B Marketing

AI, Marketing, AI Marketing, 

AI in B2B marketing transforms how enterprises collect data, predict outcomes, and personalize content. It makes your marketing team more efficient and effective, boosting your ROI from their efforts.

However, integrating AI solutions can be challenging, and if you’re not sure how to apply them, you might actually create an adverse effect — making your team less productive.

But don’t worry. We’ll help you on your way.

We’ll discuss the applications, benefits, and AI implementation practices to get you started on the right foot. We’ll also introduce iovox, a high-end AI call-tracking tool to bolster your B2B marketing.

Further Reading:

  • Curious about the broader applications of AI marketing? Explore the best tools and their use cases.
  • Interested in the finer details of conversational intelligence? Discover everything you need to know to boost your business.

This Article Contains:

6 Ways to Use AI for B2B Marketing: Applications and Benefits

You can leverage numerous AI-powered marketing tools for your B2B marketing, but some will give you more ROI than others. Below, we’ll review the top 5 use cases you can implement. 

  1. Data Collection

    Enterprises use specialized AI software to collect and analyze data from marketing campaigns quickly. This automation reduces the labor time of your marketing and sales team.

    AI-powered data collection software can handle large volumes of data from multiple sources, providing deeper insights faster. This allows larger businesses to stay agile, respond to market trends more quickly, and confidently make data-driven decisions.

    For example, iovox’ Transcripts automatically converts audio data from all your sales calls to text. You can then use our conversational AI to spot trends, measure customer experience, and increase conversions.

  2. Predictive Analytics

    AI algorithms can analyze your business’ data to uncover insights into customer behavior, preferences, and pain points. The tool can then predict if a potential customer will likely convert based on past interactions with your company.

    You can also use an AI-powered tool to forecast when your marketing campaigns will be most effective. For example, a B2B company providing software for supply chain management could leverage AI tools to analyze customers’ purchasing patterns, seasonal trends, and inventory management challenges.

    The company can predict when specific industries or clients need upgrades or additional features. This allows it to launch its marketing campaigns when its customers are most receptive.

  3. Content Creation

    Generative AI software can speed up content generation in several ways:

    • Content marketing: It can help you create drafts for articles to publish on your website.
    • Social media marketing: It can repurpose your articles for various social media, such as FB, Instagram, or X (formerly Twitter).
    • Email marketing: It can help you write promotional or onboarding emails to improve conversion, upsells, or activation rates.

    This reduces delivery time and allows your team to focus on higher-level strategic tasks like determining the best content distribution channels, planning a content calendar, measuring performance, etc.

  4. Personalization

    AI-driven tools can use customer data to provide personalized customer experiences.

    For example, it can analyze how leads interact with your website or email marketing and predict relevant content or product recommendations to send to different target audiences, e.g., small businesses vs enterprises.

    This AI solution can greatly enhance customer engagement with your company’s marketing.

    These AI-driven tools leverage demographic customer data to deliver personalized messages to your target audience, enhancing customer engagement.  

    For example, an AI solution can provide a personalized customer experience by optimizing email marketing through the analysis of recipient behavior. This application can also determine the best times to send emails and target businesses across time zones.  

  5. Automated Integrations

    AI-driven tools for marketing automation perform manual administrative tasks, allowing teams to focus on more revenue-driving duties.

    Your marketing team can use these automation tools to integrate customer data from several sources and platforms (email, lead management, social media, etc.) to streamline workflows.

    For example, the iovox API integrates your customer data with your CRM. You’ll get a broad view of all your prospects without needing a separate customer data platform. This marketing automation tool can access call data, create call flows, track email engagement rates, and more.

  6. Customer Engagement

    AI-based engagement tools enable direct customer interaction through chatbots and other interactive platforms.

    With the help of machine learning, they handle conversations across various channels, providing consistent, round-the-clock customer support. AI engages with every potential customer, responds to inquiries, and offers information beyond regular customer support hours.

Now that you know the essential AI-powered marketing tools and their benefits, let’s examine some implementation challenges.  

4 Noteworthy Challenges of Using AI for B2B Marketing

As we mentioned, implementing artificial intelligence in your B2B sales and marketing strategy isn’t always an easy task. You need to be aware of these common challenges and how to tackle them:

  1. Poor Data Quality

    Insufficient data quantity and quality can hinder your AI software’s performance and reduce the accuracy of its predictions. Relying on these predictions ultimately affects decision-making processes by providing skewed results. 

    To maximize its potential, organize your data before implementation. Regularly update and curate your data sets to ensure your AI-powered tool generates insights based on current market trends.

  2. Data Privacy

    Enterprises must ensure they comply with data privacy laws governing the regions in which they operate. This often involves hiring legal assistance to guarantee compliance.

    You should also conduct regular audits, train staff on data privacy practices, and establish clear data handling and storage protocols. This will protect your enterprise from legal repercussions and build customer trust.

  3. Requires Onboarding & Training

    While some tools are easy to leverage from the start, using specific AI applications may require guidance. Your marketing team must also engage in ongoing learning and adaptation as AI technology progresses. It’s essential to stay informed about current advancements.

    However, companies typically provide customer support and onboarding assistance if their software requires it. So this needn’t be a significant roadblock.

  4. Reduces Human Accountability

    With the variety of AI capabilities, it’s easy to become over-reliant on your software. However, human input is still necessary when making decisions based on AI output.

    Clearly outline your employees’ duties and performance expectations to ensure they maintain responsibility for their outcomes, regardless of the level of AI assistance.

Want to get started on the right foot with AI implementation?

Here are some essential guidelines.

4 Best Practices for Implementing AI into Your B2B Marketing Processes

Most challenges can be overcome, and you shouldn’t let them keep you from gaining the benefits of using AI in your B2B marketing. Below are some tips for a seamless AI technology adoption:

  1. Set Clear Goals

    Clarify what you want to achieve with your tool. This will help you decide which solution to purchase, which features to acquire, how to integrate its functionalities into your B2B company, and who you’ll need to train. 

  2. Conduct Thorough Product Research

    Research and, ideally, trial test the various solutions you’re considering to ensure your AI system helps you meet your goals.

    Purchasing a ready-to-go option involves less research than acquiring a customized software solution. In this case, you’ll need to assess the reliability of your third-party provider in far more detail.

  3. Train and Guide Your Teams

    Provide each marketing and sales team training before going live and collect feedback on their difficulties for future optimization of training.

    You can hire an expert if necessary; however, it is also helpful to know what training and support your software provider offers.

  4. Prepare Your Data

    Prepare your data before AI implementation to ensure you obtain accurate insights and predictions from your software.

    Analyzing your data before implementation also gives you a better idea of where to start your AI integration. For example, if you’re struggling with high churn rates, you can focus on data collection regarding user behavior to discover the common reasons for abandonment.

3 Intriguing Trends in the Use of AI for B2B Marketing

If you want to stay competitive as a B2B company, you must remain aware of emerging trends in AI. The following AI applications in B2B digital marketing show the most significant promise in terms of becoming standard practices:

  1. Integrating AI and the Internet of Things

    The Internet of Things (IoT) is a network of objects (devices, machines, etc.) with technology that connects and exchanges data via the Internet.

    Integrating artificial intelligence and IoT enables real-time data collection and analysis from several devices your clients use (e.g., laptops, phones, industrial machinery).

    The benefit?

    An AI system can examine device usage data to forecast when customers may require maintenance services or upgrades. This enables a proactive, personalized, and anticipatory marketing strategy.

  2. Increased Account-Based Marketing and Hyper-Personalization

    Personalization is already a critical application of AI marketing tools. However, increasing artificial intelligence sophistication allows B2B organizations to leverage individual customer behavior data in addition to broader demographic data.

    The purpose?

    Identifying key decision-makers within target accounts, understanding their individual preferences and delivering highly tailored content that resonates personally. This is transforming “B2B marketing” into “business-to-decision-maker marketing.” 

  3. Greater Emphasis on Product-Led Growth

    In a product-led growth strategy, the product serves as the primary engine for driving revenue and customer engagement.

    With AI-driven insights, enterprises can continuously refine their products to meet customer needs in real-time. This creates immediate value for users without requiring heavy sales intervention.

    AI-powered data analysis identifies user pain points and preferences, leading to a more streamlined onboarding process and the development of features that directly address customer demands.

    This way, the product develops based on actual usage patterns, driving increased customer retention and organic growth.

    This reduces the need for traditional marketing efforts while increasing B2B sales through product adoption and expansion.

Now that you’re familiar with the numerous marketing applications of AI let’s look at a specific AI tool to increase your B2B sales.

iovox: Your High-End B2B Marketing Tool

iovox is a cutting-edge AI-driven marketing tool that transforms call data into meaningful insights to enhance your B2B marketing strategy.

It enables the efficient collection of call data and increased understanding of your target audience, ultimately improving your marketing campaigns.

Whether your objective is to enhance customer interaction, improve customer experience, or automate time-consuming, repetitive tasks, iovox offers innovative AI capabilities designed to address your digital marketing requirements.

Here’s an overview of how iovox is redefining the landscape of B2B digital marketing:

  1. Improve Lead Segmentation

    B2B enterprises targeting multiple regions need robust data concerning where their leads are coming from. iovox offers two highly effective lead-tracking tools:

    • Dedicated Numbers: This feature assigns a unique telephone number to each marketing channel and enables you to track and optimize ad spending based on which channels generate the most leads. 
    • Dynamic Numbers: To track website visitors, Dynamic Numbers allocates a number to each lead, providing crucial information regarding which web pages they visit, source type (Google PPC, organic, etc.), and referrals.

    By correlating lead source data with conversion rates, each marketer will be better able to segment and prioritize the most promising leads. 

  2. Create a Seamless Data Flow

    Data collection and analytics are the primary functions of AI marketing tools. However, with increased data collection comes a greater need for advanced organization. You don’t want to waste time manually transferring information from your customer data platform.

    Fortunately, the iovox API takes care of this for you by integrating data with your CRM. This provides a broad view of all your leads data – call outcomes, times, sources, and more.

  3. Gain Valuable Insights

    iovox delivers more than basic call data concerning duration, time, and length. It offers tools like Transcripts and Conversational AI to uncover the content of your calls.

    After generating transcripts of all your customers’ calls, AI algorithms analyze the text for essential keywords tailored to your needs.

    For example, if you want to understand the reasons for product abandonment, you can use the tool to target keywords like “unsatisfied” or “irrelevant.” Once you know the reasons behind low customer satisfaction with your product, you can make the necessary updates to improve retention.

Wrapping Up

Integrating AI into your B2B digital marketing processes improves customer service, increases customer satisfaction, and enhances your product development.

AI tools for automation, personalization, and predictive analytics are already an integral part of enterprises’ marketing efforts. However, the importance of using AI software to remain competitive will only increase.

Looking for an AI tool to bolster your B2B marketing strategy?

iovox is the solution for every marketer.

To connect, simply click the call button below, and we’ll be in touch with you shortly. You can also email us at hello@iovox.com or give us a call toll-free from within the US at +1 888 369 9519.

From outside the US, please reach us at one of these numbers:

London, UK +44 (0)20 7099 1070
Sydney, Australia +61 (0)2 8520 3530
Paris, France +33 (0)1 84 88 46 40

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