Article
October 24, 2024

How to Build an AI B2B Marketing Strategy for Growth

Companies can leverage AI to transform their marketing strategies, from automation and personalization to data-driven insights, creating sustainable growth and stronger client engagement. This article outlines actionable steps to seamlessly integrate AI for measurable results and efficiency.

Artificial intelligence (AI) has transitioned from being a futuristic idea to a powerful force driving change in today’s business environment. For midsize companies, incorporating AI into your marketing strategy can be a critical factor in unlocking substantial growth, boosting client engagement, and improving operational efficiency. However, developing an AI-driven marketing plan can seem overwhelming, especially if your company is still rooted in traditional marketing approaches. This guide provides actionable steps to help midsize businesses craft an AI marketing strategy designed for growth.

1. Understand the role of AI in marketing

AI can help automate repetitive tasks, enhance client insights, and optimize marketing campaigns to deliver better results. Some of the most common applications include:

  • Predictive analytics: AI helps analyze historical data to predict client behavior and trends.
  • Personalization: Using AI to deliver personalized marketing messages, product/services recommendations, and tailored buyer journeys.
  • Automation: AI tools can handle tasks like email marketing, social media posting, and FAQs.
  • Data Analysis: AI-driven analytics platforms help process vast amounts of data to deliver actionable insights quickly.

Before diving in, it’s essential to recognize the potential of AI in areas such as client acquisition, retention, product/services recommendations, and buyer success management.

2. Identify your marketing goals

Your AI marketing strategy should be aligned with your monthly, quarterly, and annual business goals. Midsize companies often focus on growth, so identifying clear marketing objectives is crucial:

  • Increase client acquisition
  • Repeat buyers and client retention
  • Growth revenue predictability and stability
  • Optimize marketing spend and ROI

Understanding your goals will guide the selection of AI tools and the strategies you need to deploy. For instance, if your primary goal is buyer retention, AI-powered personalization and recommendation engines may be the tools to focus on.

3. Invest in the right AI tools and platforms

There are various AI-powered marketing tools available, and selecting the right ones can be overwhelming. Some key areas to consider include:

  • Email marketing automation: Tools like HubSpot use AI to optimize email campaigns, track user interactions, and improve open rates.
  • Social media management: Platforms like Hootsuite and Buffer utilize AI for content scheduling, trend analysis, and audience engagement.
  • Chatbots: AI-powered chatbots such as Drift or Intercom can enhance buyer service and engagement, providing personalized responses 24/7.
  • Data Analytics: Tools like Google Analytics with AI integrations or platforms like Salesforce Einstein can provide predictive insights and deeper analysis.

4. Leverage buyer data

AI relies heavily on data, and the more data you provide, the better the results. Start by organizing information from your website, CRM, social media, and sales history. Midsize companies often have enough data but may not be using it efficiently. AI tools help segment your audience by behavior, preferences, and demographics, enabling highly targeted marketing. Begin with one or two tools and test them in specific campaigns to refine your approach before scaling up for maximum impact.

5. Measure and refine your strategy

The true power of AI-driven marketing is in its capacity to rapidly analyze data and generate actionable insights. However, to achieve success, it's crucial to define KPIs that are aligned with your business objectives, such as:

  • Conversion rates
  • Buyer/Client acquisition cost (CAC)
  • Client lifetime value (CLV)
  • Engagement metrics

Use AI-powered analytics tools to track the performance of your marketing efforts. If a campaign underperforms, AI can help identify why and suggest alternatives. Constant measurement and refinement are crucial to keeping your AI marketing strategy agile and effective.

The path forward for CMOs, CCOs, COOs, CPOs

For midsize companies new to AI, the best approach is to begin with small, manageable projects—such as automating email campaigns or enhancing buyer segmentation. As you build confidence and see positive outcomes, you can scale up to advanced solutions like predictive analytics and machine learning. By defining clear objectives, utilizing data, and selecting the right tools, AI can transform your marketing into a highly effective growth engine, helping your business thrive in today’s competitive landscape.

To learn more about how AI and smart technology can help scale your business, reach out to Heidi Brown (hbrown@brownrobinson.com) at BrownRobinson.

Also published on LinkedIn:
https://www.linkedin.com/pulse/how-build-ai-b2b-marketing-strategy-growth-brownrobinson-pqjkc