AI As A Strategy Consultant - Plus A Secret Professional Prompt Generator

Incorporating AI into yearly planning processes can enhance data analysis and decision-making capabilities. This post examines how AI tools can contribute to strategy development.

Context: AI tools offer the ability to process large amounts of data quickly, potentially uncovering insights that might be missed through traditional analysis methods.

Important: I have a secret prompt generator to help you accomplish the scenarios below. If it feels overwhelming, don’t give up and go through to the end of the article for instructions. It’s all good. 👍🏼

Here's an overview of how AI can be applied to yearly strategy development:

1. Market and Competitor Analysis

AI can assist in gathering and analyzing market data:

• Customer insights: Analyze purchasing patterns and preferences to inform audience segmentation.

• Competitor tracking: Monitor competitors' marketing activities and online presence.

• Trend analysis: Identify potential industry shifts based on online content and search data.

Pro tip:

• Data sources to improve outputs: Start with web, social media, forums, product reviews, competitor job postings, or other public data, and then combine with other sources like sales or CRM for a comprehensive view.

• Potential co-pilots you should explore: ChatGPT, Gemini, Marketing Research GPT (I would start here!), Crayon, Klue, Valona

Considerations: 

• Inputs: Use reputable and up-to-date data sources for analysis.

• Context: Combine AI analysis with human expert interpretation.

2. Audience Insights

AI can help develop more detailed customer profiles based on real or synthetic data:

• Synthetic feedback: Generate hypothetical customer reactions to new concepts.

• Advanced segmentation: Create detailed personas based on various data points.

• Buyer journey behaviors: Simulate persona behavior across different buyer journeys.

Pro tip:

• Data sources to improve output: Audience data is gold. Social, product reviews, research data or any historical feedback database can be used as an AI input for better results.

• Potential co-pilots you should explore: create a custom GPT that mimics your audience for real-time feedback (it’s easier than you think, you can build in 15 minutes), Data Analyst GPT, Evidenza, Opinio, Native, Humantic

Considerations: 

• Diversity: Ensure quality and diversity of data that represents a wide range of customer segments.

• Validation: Use synthetic feedback to supplement, not replace, real customer insights.

3. Scenario Planning

AI can assist in modeling potential future scenarios:

• Strategic simulations: Model outcomes for different strategic decisions.

• Risk assessment: Analyze external factors to anticipate potential challenges.

• Channel optimization: Analyze past performance to inform budget distribution across marketing channels.

Pro tip:

• Data sources to improve outputs: Predictions are only as good as the underlying assumptions and historical business data available. You may need to put some effort into collecting the right data.

• Potential co-pilots you should explore: ChatGPT, Problems GPT (try this), Campaign GPT (and this), Marketing Consultant GPT, Marketing GPT, Business Development GPT 

Considerations: 

• Outcomes: AI models may not account for unexpected, major events. Explore a range of possibilities, including unlikely but impactful incidents.

• Decision making: Use AI recommendations in conjunction with strategic judgment.

ChatGPT New Free (For Now) Prompt Generator

Although this solution was created by OpenAI for developers, you can use it to generate professional prompts. It will give you a solid prompt to any of the use cases in this article. Instructions below.

1. Log in on https://platform.openai.com.

2. Click on “Playground” in the header on the right.

3. In the “System instructions” select “Generate” and describe what you are trying to accomplish - feel free to use the use cases above as a baseline and, if needed, customize to your needs.

4. Copy and paste the prompt into ChatGPT or your favorite general-purpose AI tool. It is important to note that for most of the tasks above you will need to provide data for better outputs.

Last But Not Least…

• Public data is great, but business data is even better. Try to leverage as much 1st party data as possible.

• Check data training policies before uploading any data in your favorite tool.

• Remember that AI hallucinates from time to time. Human oversight and strategic thinking are required.