In sales, it can often feel like you’re one step behind, always reacting in the moment instead of leading the strategic charge.
You’re always following up on leads, figuring out how to keep your sales KPIs up, determining which leads to prioritize — it’s a lot. Not to mention, as a sales manager, you’re also responsible for coaching and training your own team on the best ways to approach every interaction with a prospect.
Generative AI helps take the heat off, allowing you to generate drafts of sales scripts and follow-up emails quickly based on the detailed parameters you set. When used correctly, AI can help turn your sales department into a more strategic and impactful part of your business’s customer lifecycle.
Here are 10 AI prompts for sales managers and account executives (AEs) that help you design more effective sales workflows while staying one step ahead of your potential customers and competitors.
10 smarter AI prompts for sales managers and AEs
Insert these prompts into the generative AI tool of your choice, like ChatGPT or Google Bard. For projects involving more sensitive data, you can also use AI tools built into your enablement platform, like Bigtincan’s GenieAI.
Automating admin
1. Ask AI to update your CRM for you.
- Automatically input new lead information from email and web forms into the CRM system.
2. Or ask AI to help you make sense of your current sales data.
- Sort and categorize sales proposals and contracts based on predefined tags or metadata. Use AI to recognize document types and categorize them accordingly.
Sales pipeline management and forecasting
3. Feed your pipeline data into your AI tool and let it qualify and prioritize your leads and prospects for you.
- Analyze my current sales pipeline using the data provided. Provide insights into stage distribution, deal velocity, conversion rates, top opportunities, and potential risks.
4. Then ask AI to predict which prospects in your pipeline need your attention first.
- Generate a sales forecast report based on the current pipeline data and the historical trends provided.
Optimizing pricing
5. When testing new pricing models, ask AI to help you experiment.
- Design an A/B testing strategy to evaluate different pricing options for new customers. Recommend how to structure the tests, what metrics to track, and how to interpret the results to determine the most effective pricing.
6. AI can also help you create customized pricing formulas based on specific prerequisites.
- Develop a dynamic pricing model that adjusts prices for new customers based on factors like demand, customer lifetime value, and purchase frequency. Provide recommendations for implementing this model to maximize revenue.
Making coaching more targeted
7. Using your sales reps’ behavioral data, AI can help you pinpoint specific areas for training.
- Based on personality assessments, suggest tailored coaching approaches that align with each salesperson’s strengths and motivations. Provide specific advice on how to coach them in a way that resonates and drives improvement.
8. Then use performance data to identify areas for improvement.
- Analyze recent lost and won deals for each salesperson. Identify patterns or mistakes that led to losses and provide specific coaching tips to help them avoid these pitfalls in future deals.
Predicting customer behavior
9. AI can help you figure out which leads in your pipeline are more likely to buy.
- Using the historical trends provided and current pipeline info, determine the top three leads we should focus on this week.
10. You can also ask AI to help you figure out what kinds of leads to prioritize in the future.
- Using the available customer data, please predict which types of customers are more likely to buy. Consider factors such as industry and business size. The goal is to increase our annual sales revenue by 10%.
Quick tips for getting more out of your AI prompts
- Ask, “What do you need from me?” Let the AI tool guide you through the prompting process by asking it what data and info it needs from you to make it more effective.
- Try turning up the “temperature.” The higher the temperature, the more varied and interesting the AI tool’s answers are likely to be. Tell the AI tool you want the temperature to be above a 1.5 and see what happens!
- Use real world examples to illustrate. Give AI as much context into the project and work you’re doing as you can, expounding on project parameters and stakes where applicable.
- Break more strategic projects down into smaller steps. It can take time to get AI to do what you want. Start with small prompts first and keep feeding it info to get the most creative results.
Create smoother sales workflows with AI
Sales is a combination of craft and analytics, and thankfully, AI is better at analytics and computing than you are. That means you can spend more time on the aspects of sales that excite you, like finessing your sales scripts and building relationships with customers.
However you choose to experiment with AI, Bigtincan is here to help. Our revenue enablement platform uses AI to help sales and adjacent teams smooth out and speed up buying processes, creating better experiences for your teams and your buyers.
