How can Manufacturers and Engineering Companies Experiment with AI Marketing?

How can Manufacturers and Engineering Companies Experiment with AI Marketing?

You've probably heard a great deal about AI, but as a marketer, where does it truly make sense to incorporate it? Let's explore and discover the answers with Agrim Yog ...

Over the past five to 10 years, artificial intelligence (AI) has transitioned from a topic mainly discussed in media and science-fiction literature to becoming a regular part of discussions surrounding marketing technology and strategy. However, whether referred to as "machine learning," "big data deep learning," or using different terms, the utilization of computers to process vast amounts of information has been a fundamental aspect of our marketing technology setups for as long as we can recall. In simpler terms, to some extent, we are already engaged in AI marketing. Nonetheless, what new advancements can we employ to enhance our marketing endeavors?

Today, we will delve into the subject of ChatGPT and explore the latest developments and excitement surrounding artificial intelligence in manufacturing marketing!

5 Areas Where BI & AI Marketing Can Make an Impact

1. Analytics and Feedback Loops?

The potential of BI & AI lies in its ability to offer precise and comprehensive insights into customer behavior and preferences. This can assist marketers in automating tasks and establishing a feedback loop that enhances their products and services. Some of the benefits include:

  • Predictive analytics?– One of the promises of?Google Analytics 4?is to analyze large amounts of data to identify patterns and trends to help predict future customer behavior. This can be used to optimize marketing campaigns and improve lead generation and conversion rates.
  • Automated campaigns?– AI can help automate many tasks, such as identifying target audiences, creating and sending messages, and tracking results.
  • Customer feedback analysis?– AI can help you identify patterns and trends in customer sentiment. This will help you decide what to put more resources into and what to retreat from.

2. Customer Engagement and Interaction

AI has the potential to accelerate the evolution of all sorts of marketing functions that involve customer interactions. That includes:?

  • Conversational marketing?– More personalized, efficient and human-like interactions with customers.?
  • Lead qualification?– AI can analyze customer interactions and behavior to identify leads that are most likely to convert. Companies will have a better handle on their most valuable leads.
  • Personalization?– AI can help create highly personalized marketing messages, which helps move prospects and customers along in the buying journey. It also can make personalized product recommendations.
  • Virtual assistants?– AI marketing chatbots can provide instant, 24/7 customer service and support, answering frequently asked questions and directing customers to the appropriate resources.

3. Content Creation & Experimentation

The true advantages of utilizing AI content generation tools stem from aligning your value proposition with your target audience. The commonly known saying, "garbage in, garbage out," holds true for AI tools as well. Their effectiveness solely relies on the quality of instructions provided.

In certain cases, the pricing models of these tools are based on cost-per-word, which emphasizes the importance of approaching proof of concepts with a well-defined strategy. Experimenting with various input parameters allows you to observe how the tool adjusts, while exploring different applications unveils its capabilities.

However, it is important to manage your expectations. For longer form content, it is realistic to anticipate a preliminary version at best. The AI marketing tools we have tested thus far have not demonstrated exceptional creativity and differentiation abilities.

4. Research?

Our experience with?ChatGPT from OpenAI?is that it is like having a great research assistant. It is a definite strength of the tool as it will answer a query as opposed to how search engines find an existing answer. As you might expect, it does better on a micro level than a macro level, though it can find pertinent industry statistics. Note that there have been concerns expressed, especially from academia, about the legitimacy of some source material.?

But other AI tools have been used promisingly for some time on keyword research and idea generation. Digital marketing tools like?Semrush?have the ability to review topics and content types that rank highly for terms (and groups of terms) and provide starting direction on the most opportunistic keyword clusters and even the content types that would accommodate rankings for those terms —?once again, acting in a similar capacity to a research assistant or junior SEO team member providing keyword universe reports. Taking the logical next step and using the information provided by a keyword research tool into something like ChatGPT could be a one-two punch to save a marketing content creator time, allowing for better targeted outputs.?

5. Efficiency & Time Saving?

As mentioned earlier, AI has a wide range of applications that can save time in various marketing tasks, such as creating target lists and automating nurturing sequences. This has been a significant achievement for AI thus far.

Another area where AI content tools excel is in generating summaries and lists of bullet points, including strengths, challenges, and more. You can provide instructions to AI tools to produce a concise 100-word summary or outline the top five benefits of a specific tool or service. While it may not yet possess the capability to effectively write a complete blog post, by providing the right instructions, you can obtain a reasonably viable rough draft. This alone can be enough to ignite enthusiasm about the potential of AI.

Listen to the Podcast to Learn More About BI & AI Business and Marketing with Agrim Yog

Do share your feedback with me on [email protected] or speak to me on 9850555795.

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