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AI for Strategic Planning

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Digital Marketing - Study Notes:

Digital marketers can use AI to help them when:

  • Creating strategic plans
  • Simulating different strategic outcomes
  • Enhancing decision-making
  • Identifying strategic risks and opportunities

Creating strategic plans

Generative AI can assist in creating detailed strategic plans and reports. This capability is especially valuable for digital marketers, who often need to compile comprehensive strategy documents quickly and efficiently. By leveraging AI, they can streamline this process and focus on higher-level strategic thinking.

Generative AI tools can draft comprehensive strategy documents, reducing the time and effort required by human analysts. These tools use natural language processing (or NLP) to compile data insights into coherent narratives, ensuring that strategic plans are thorough and well-articulated.

However, human input is still the difference-maker. AI cannot produce these reports without quality input from humans through the process!

For example, digital marketers can use tools like GPT or Claude to generate initial drafts of business strategy reports based on data inputs. This can include compiling data from various sources such as market analysis, financial performance, and competitor analysis. They can then use AI to create a detailed strategic report that outlines potential growth plans and strategic priorities.

Simulating different strategic outcomes

AI can facilitate scenario planning by simulating different strategic outcomes. This simulation capability is crucial for businesses looking to assess the potential impacts of various strategic decisions before committing resources.

AI models can predict potential outcomes of various strategic decisions, helping businesses choose the best course of action. By simulating different scenarios, businesses can assess the potential impacts of their decisions before implementation. This then helps to minimize risks.

For example, you can run simulations on market entry strategies to identify the most promising approach. For instance, an AI model could simulate the outcomes of entering a new geographic market versus launching a new product line within an existing market. This would help executives decide which strategy is likely to yield better results.

Enhancing decision-making

AI can enhance decision-making by providing real-time insights and forecasts. This is particularly beneficial in dynamic markets where timely and informed decisions are critical for success.

The real-time data processing capabilities of AI enable digital marketers to make timely and informed decisions. AI tools can continuously analyze data streams from various sources, offering up-to-date insights and forecasts. This, in turn, can support agile decision-making processes.

For example, you could use AI to provide real-time sales forecasts to adjust marketing strategies dynamically. So, if AI detects a sudden increase in demand for a product, it can prompt the marketing team to increase promotional efforts or adjust pricing strategies to maximize sales. RapidMiner offers real-time analytics and machine learning capabilities, helping businesses to make data-driven decisions quickly. This tool can analyze customer data, sales trends, and market conditions, providing actionable insights for strategic decision-making.

Identifying strategic risks and opportunities

AI can help identify strategic risks and opportunities. With AI, businesses can proactively address potential threats and capitalize on emerging opportunities that may not be immediately apparent through traditional analysis.

AI tools can analyze vast amounts of data to uncover hidden risks and emerging opportunities that might not be immediately apparent. By highlighting these factors, AI enables businesses to proactively address potential threats and seize new opportunities.

For example, you might identify potential supply chain disruptions or new market opportunities through AI-driven analytics. RiskLens is an AI tool specializing in identifying potential risks in supply chains and other business processes. It can analyze data to detect potential supply chain disruptions, allowing businesses to develop contingency plans and mitigate risks.

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Matthew Santos

Matthew Santos is the Vice President of Products & Strategy at Neil Patel Accel. He initially built the four major product offerings they provide to customers, and continues to oversee three of those: SEO, CRO, and Email Marketing. He has been in the industry for almost 10 years, primarily focused on Earned Media digital tactics. 

Matthew Santos
Clark Boyd

Clark Boyd is CEO and founder of marketing simulations company Novela. He is also a digital strategy consultant, author, and trainer. Over the last 12 years, he has devised and implemented international marketing strategies for brands including American Express, Adidas, and General Motors.

Today, Clark works with business schools at the University of Cambridge, Imperial College London, and Columbia University to design and deliver their executive-education courses on data analytics and digital marketing. 

Clark is a certified Google trainer and runs Google workshops across Europe and the Middle East. This year, he has delivered keynote speeches at leadership events in Latin America, Europe, and the US. You can find him on X (formerly Twitter), LinkedIn, and Slideshare. He writes regularly on Medium and you can subscribe to his email newsletter, hi, tech.

Clark Boyd
Neil Patel

Neil Patel is the co-founder of NP Digital. The Wall Street Journal calls him a top influencer on the web, Forbes says he is one of the top 10 marketers, and Entrepreneur Magazine says he created one of the 100 most brilliant companies. Neil is a New York Times bestselling author and was recognized as a top 100 entrepreneur under the age of 30 by President Obama and a top 100 entrepreneur under the age of 35 by the United Nations.

Neil Patel
Brooke Hess

Digital Marketing Strategist and VP of Paid Media (NP Digital)

Brooke Hess is a highly skilled and passionate digital marketer with an extensive background in the paid media space. While leading a team of Directors across strategy, paid social, paid search, and programmatic media, Brooke oversees paid media strategy for priority clients and develops effective strategies for new clients. Brooke is also recognized as a high achiever in providing effective educational opportunities for paid media professionals to ensure they get the most from their paid media strategies.

Brooke Hess

ABOUT THIS DIGITAL MARKETING MODULE

Search Strategy Execution and Optimization
Matthew Santos Matthew Santos
Presenter
Clark Boyd Clark Boyd
Presenter
Neil Patel Neil Patel
Presenter
Brooke Hess Brooke Hess
Presenter

The Search Strategy Execution and Optimization module focuses on how to create a high-impact search marketing strategy. The module begins by explaining the activities, tactics, tools, and platforms to consider when developing SEO, content, paid search, and demand generation strategies for an overarching search marketing strategy. It drills deep into the key touchpoints, channels, and tactics to consider to generate customer interest and maximize sales in an omnichannel marketing strategy. You’ll learn about the reporting tools, platforms, and techniques to use to evaluate search strategy performance and the best practices for integrating web analytics with inbound and outbound campaigns to identify high-performing search campaigns. The module closes by covering the metrics, KPIs, and best practices to use to adapt and sustain a search strategy in a changing digital landscape.