AI in Marketing: 7 Ways to Work with Artificial Intelligence for Effective and Productive Results

AI in Marketing - Diggles Creative

As artificial intelligence (AI) continues to revolutionize various industries, the marketing sector has begun to embrace its potential. However, there is a common misconception that working with AI in marketing is a simple, one-click solution that requires minimal effort from the marketing team.

In reality, collaborating with AI is much like working with another team member – it involves a thoughtful, iterative process that demands input and evaluation from both human and AI perspectives. In this article, we will explore the key aspects of working with AI in marketing and how a collaborative approach can lead to effective results.

1. Asking the Right Questions to Guide AI in Marketing

To harness the power of AI effectively, marketers must ask well-crafted, specific questions that guide the AI towards the desired outcomes. This requires a deep understanding of the marketing objectives and the target audience. For example, when developing a brand identity, a marketer might engage with AI to explore questions such as:

  • "What are the key elements of a brand vision, and how can we craft a unique and compelling vision for our company?"
  • "Can you provide examples of different brand voice styles, such as lighthearted, businesslike, or empathetic, and explain how each style might resonate with our target audience?"
  • "What are the psychological effects of various color schemes, and how can we select colors that align with our brand values and evoke the desired emotions in our customers?"
  • "How can we develop a strong value proposition that sets us apart from competitors and clearly communicates the benefits of our products or services?"
  • "What are the pros and cons of using an icon, wordmark, or crest for our logo, and which type would best represent our brand identity?"

By engaging in a thoughtful dialogue with AI around these questions, marketers can gain valuable insights and ideas to shape their brand identity in a more authentic and effective manner.

2. The Iterative Process of Working with AI in Marketing

Working with AI is not a one-time task but rather an iterative process that involves multiple rounds of back-and-forth communication. Marketers must refine the inputs and evaluate the outputs to ensure the AI-generated content aligns with the marketing goals. For example, when crafting persuasive copy for a product description, a marketer may collaborate with AI through the following steps:

  • Provide the AI with an initial brief outlining the product features, benefits, and target audience.
  • Review the AI-generated copy and provide feedback on tone, clarity, and persuasiveness.
  • Iterate on the copy by asking the AI to make specific improvements, such as highlighting a key benefit or using more emotionally engaging language.
  • Continue the process until the copy meets the desired standards and effectively communicates the product's value proposition.

3. The Importance of Human Evaluation in AI-Generated Marketing Content

While AI can generate content quickly, it is crucial for human team members to review and assess the output critically. This involves checking for accuracy, relevance, and adherence to brand guidelines. In the context of social media marketing, human evaluation plays a crucial role:

  • When generating hashtags or social media posts, AI can provide suggestions based on trending topics and audience preferences. However, human marketers must review these suggestions to ensure they align with the brand's voice and values.
  • Human marketers should critically assess AI-generated social media content for potential errors, insensitive language, or inconsistencies with the brand's messaging.
  • By providing human oversight and evaluation, marketers can ensure that AI-generated social media content is high-quality, engaging, and reflective of the brand's identity.

4. Strategic Integration of AI in Marketing Campaigns

Incorporating AI into a marketing strategy requires careful planning and execution. Marketers must determine how AI can complement and enhance their existing processes, not replace them entirely. For instance, when designing an email marketing campaign:

  • AI can help segment the audience based on demographics, behavior, and preferences, enabling marketers to create targeted and personalized email content.
  • Marketers can use AI to optimize email subject lines, preview text, and send times based on historical data and machine learning algorithms.
  • However, human marketers must still develop the overall email marketing strategy, define the campaign goals, and create compelling email templates that align with the brand's visual identity and messaging.
  • By strategically integrating AI into the email marketing process, marketers can save time, improve efficiency, and deliver more relevant and engaging content to their subscribers.

5. Continuous Learning: Staying Updated with AI Marketing Trends

As AI technologies evolve, marketers must stay informed about the latest developments and best practices. This involves investing time and effort into understanding the capabilities and limitations of AI tools. For instance, when exploring the potential of AI-powered chatbots for customer service:

  • Marketers should educate themselves on the current state of natural language processing (NLP) and machine learning algorithms.
  • By understanding how chatbots can handle customer inquiries, provide personalized recommendations, and escalate complex issues to human agents, marketers can make informed decisions about implementing this technology.
  • Marketers should also stay updated on the latest advancements in chatbot technology, such as sentiment analysis and multilingual support, to continuously improve their customer service offerings.
  • Continuous learning enables marketers to set realistic expectations for AI-powered chatbots and develop strategies to seamlessly integrate them into their overall customer experience.

6. Leveraging AI for Data-Driven Insights in Marketing

AI can help marketers make sense of vast amounts of data and uncover valuable insights that inform marketing strategies. For example, when analyzing customer behavior:

  • AI algorithms can process large datasets from various sources, such as website analytics, social media, and CRM systems, to identify patterns and trends in customer behavior.
  • Marketers can leverage AI-powered tools to segment customers based on their preferences, purchasing history, and engagement levels, enabling more targeted and personalized marketing efforts.
  • However, human marketers must interpret these insights and use their domain knowledge to develop actionable strategies that align with business goals and customer needs.
  • By collaborating with AI to gain data-driven insights, marketers can make more informed decisions, optimize their campaigns, and improve overall marketing performance.

7. Optimizing Marketing Content with AI Assistance

AI can assist marketers in optimizing their content for various channels and audiences. For instance, when creating blog posts or articles:

  • AI-powered tools can analyze existing content and provide suggestions for optimizing headlines, subheadings, and keywords to improve search engine rankings and readability.
  • Marketers can use AI to generate content ideas based on trending topics, audience interests, and competitor analysis, saving time and ensuring their content remains relevant and engaging.
  • However, human marketers must still develop the overall content strategy, ensure the quality and accuracy of the content, and infuse it with the brand's unique voice and perspective.
  • By leveraging AI for content optimization, marketers can create more effective and targeted content that resonates with their audience and drives better engagement.

Working with AI in marketing is not a shortcut to success, but rather a collaborative, thought-intensive process that requires skill, creativity, and effort from human team members. Marketers should ask the right questions, engage in an iterative process, conduct human evaluations, and strategically integrate AI. Staying updated with AI marketing trends, leveraging AI for data-driven insights, and optimizing content with AI assistance are crucial steps in this process.

By adopting these practices, marketers can effectively leverage AI to enhance their marketing efforts and drive better results. As the marketing landscape continues to evolve, embracing a thoughtful approach to AI collaboration will be key to staying competitive and delivering value to customers.

Find a Marketing Agency with AI Expertise to Boost Your Business

Are you looking to leverage the power of AI in your marketing strategy but don't know where to start? Diggles Creative has the expertise to help you effectively integrate AI into your marketing efforts. By partnering with us, you'll benefit from our proven experience in collaborating with AI to drive results, stay updated with the latest trends, and optimize your content for maximum impact. Send us an email or call (970) 744-3611 to get started.

Warren Diggles - President/Creative Director

Warren Diggles
President and Creative Director