1. How can you quickly assess the potential of new products and markets? What data is available?
2. How do your customers perceive your company and brands vs. your competitors?

3. What (non-obvious) characteristics do your best customers have in common? And how can you increase your odds of getting more of them?
4. What are the big gaps in your database?
5. To what extent are inaccurate data and duplicate records interfering with your sales productivity (and marketing effectivene

6. How can you track the effectiveness of each campaign and marketing channel—not just through the marketing but through the sales process too (beyond web analytics)?
7. Identify previously unknown prospects

a. How can you identify which companies are visiting your websites – who DON’T sign up for anything—and companies that call you but DON”T leave a message?
b. How can you target and market to previously “unknown” prospects?

8. Lead qualification – How can you get more qualified leads?
9. Marketing benchmarks — What does “good” look like? What are the benchmarks across the industry?

10. Where you are losing prospects in your sales and marketing funnel? (and what is the potential revenue gain from improving each piece of the funnel)
11. If you have an outbound telesales team, ow many phone calls per prospect are needed to maximize your revenue? How many calls are too much?
12. Which (non-obvious) metrics do your most successful sales reps have in common? And your least successful sales reps?

13. What are the key challenges in building a more data driven organization?
14. How can you overcome these challenges?

15. Which quantitative methods can help you better score leads?
16. Which advanced methods can help you target the right offer and right product to the right customer?
17. What do you need to know about your current customers (but don’t)?
18. What do you need to know about your potential customers (but don’t)?

19. What competitive info must you know that you don’t know now?
20. How can you get this info?