You’ve connected your data to an analytics tool. Now you’re staring at a blank query box thinking… what do I actually ask? This is the most common blocker for businesses new to AI analytics. You know your data has answers \u2014 you just don’t know the right questions.<\/p>\n
Here are 50+ specific, tested questions<\/strong> you can ask your business data right now. These work with any AI analytics tool that supports natural language queries \u2014 just type them in and get instant answers.<\/p>\n Start here. Revenue questions give you the clearest picture of business health and are the easiest to act on.<\/p>\n “What were my total sales this month compared to last month?”<\/strong> \u2014 The most fundamental question. Shows you the direction your business is heading.<\/p>\n “Which products generate the most revenue?”<\/strong> \u2014 Identifies your winners. Often, 20% of products drive 80% of revenue (Pareto principle).<\/p>\n “What is my average order value, and how has it changed over the past 6 months?”<\/strong> \u2014 Rising AOV means your upselling is working. Falling AOV needs investigation.<\/p>\n “What day of the week and time of day do I get the most sales?”<\/strong> \u2014 Critical for timing promotions, email sends, and social media posts.<\/p>\n “Which sales channel (online, in-store, marketplace) is growing fastest?”<\/strong> \u2014 Tells you where to double down on investment.<\/p>\n “What is my monthly recurring revenue trend?”<\/strong> \u2014 For subscription businesses, this is the single most important metric.<\/p>\n “How many new customers did I acquire this month vs. repeat customers?”<\/strong> \u2014 Balance between acquisition and retention spending.<\/p>\n “What is my customer lifetime value by acquisition channel?”<\/strong> \u2014 Some channels bring cheap customers who never return. Others bring expensive customers who become loyal. This question reveals which is which.<\/p>\n These questions help you stop wasting money on marketing that doesn’t work and double down on what does.<\/p>\n “Which marketing channel has the lowest customer acquisition cost?”<\/strong> \u2014 Stop guessing where to spend your marketing budget.<\/p>\n “What is my conversion rate by traffic source?”<\/strong> \u2014 High traffic with low conversion means the wrong audience. Low traffic with high conversion means an untapped goldmine.<\/p>\n “How has my website traffic changed over the past 3 months, and where is the growth coming from?”<\/strong> \u2014 Identifies which channels are gaining momentum.<\/p>\n “What is the ROI on my paid advertising spend by platform?”<\/strong> \u2014 Direct answer to “is my Google\/Meta\/TikTok ad spend profitable?”<\/p>\n “Which blog posts or landing pages drive the most conversions?”<\/strong> \u2014 Create more content like your winners.<\/p>\n “What is my email open rate and click-through rate trend?”<\/strong> \u2014 Declining email engagement is an early warning sign.<\/p>\n “How long does it take a new lead to become a paying customer?”<\/strong> \u2014 Your sales cycle length directly impacts cash flow planning.<\/p>\n These questions keep you solvent and help you spot financial problems before they become crises.<\/p>\n “What is my gross profit margin by product or service?”<\/strong> \u2014 Not all revenue is equal. Some products might be revenue-positive but margin-negative.<\/p>\n “What are my top 5 expense categories, and how have they changed?”<\/strong> \u2014 Spending creep is real. This question catches it early.<\/p>\n “What is my burn rate at current spending levels?”<\/strong> \u2014 For startups: how many months of runway do you have?<\/p>\n “What is my accounts receivable aging?”<\/strong> \u2014 Which customers owe you money, and how long have they owed it?<\/p>\n “What is my cash flow forecast for the next 3 months based on current trends?”<\/strong> \u2014 Predictive analytics at its most practical.<\/p>\n “What percentage of my revenue comes from my top 10 customers?”<\/strong> \u2014 High concentration = high risk. If one big customer leaves, can you survive?<\/p>\n Understanding how customers behave helps you keep them longer and increase their spending.<\/p>\n “What is my customer churn rate, and is it increasing or decreasing?”<\/strong> \u2014 If churn is rising, no amount of new customer acquisition will save you.<\/p>\n “What do customers buy together most frequently?”<\/strong> \u2014 Informs product bundling, cross-sell recommendations, and store layout.<\/p>\n “What is the average time between a customer’s first and second purchase?”<\/strong> \u2014 This is your critical retention window. If they don’t buy again within this period, they probably never will.<\/p>\n “Which customers are at risk of churning?”<\/strong> \u2014 AI can identify customers whose behavior patterns match those who have already left. Reach out before they’re gone.<\/p>\n “What is my Net Promoter Score trend?”<\/strong> \u2014 If you collect NPS data, tracking the trend is more valuable than any single score.<\/p>\n “Which customer segments are most profitable?”<\/strong> \u2014 Demographics, geography, acquisition channel, product preferences \u2014 slice your customer base to find your best segments.<\/p>\n These questions help you run a tighter ship and identify operational waste.<\/p>\n “What is my inventory turnover rate by product?”<\/strong> \u2014 Slow-moving inventory ties up cash. Fast movers might need more stock.<\/p>\n “What is my order fulfillment time, and has it changed?”<\/strong> \u2014 Increasing fulfillment time means scaling problems.<\/p>\n “What is my customer support ticket volume trend, and what are the most common issues?”<\/strong> \u2014 Rising support volume might indicate a product problem. The most common issues tell you what to fix first.<\/p>\n “What is my employee productivity by team or department?”<\/strong> \u2014 Revenue per employee, tickets resolved per agent, units produced per shift \u2014 depends on your business.<\/p>\n “What is my on-time delivery rate?”<\/strong> \u2014 Late deliveries kill customer satisfaction and drive churn.<\/p>\n These questions help you plan for the future, not just understand the past.<\/p>\n “Based on current trends, what will my revenue be in 6 months?”<\/strong> \u2014 AI-powered forecasting gives you a data-driven answer.<\/p>\n “Which product categories show the strongest growth trajectory?”<\/strong> \u2014 Invest where momentum is building.<\/p>\n “If I increase my marketing spend by 20%, what’s the projected revenue impact?”<\/strong> \u2014 Scenario modeling to test decisions before making them.<\/p>\n “What external factors (seasonality, economic indicators) correlate with my sales?”<\/strong> \u2014 Understanding external drivers helps you plan around them.<\/p>\n Don’t try to ask all 50 questions at once. Start with the top 3-5 most relevant to your current situation:<\/p>\n If you’re focused on growth:<\/strong> Start with revenue trends, customer acquisition cost, and marketing ROI questions.<\/p>\nRevenue and Sales Questions<\/h2>\n
Marketing and Customer Acquisition Questions<\/h2>\n
Financial Health Questions<\/h2>\n
Customer Behavior Questions<\/h2>\n
Operations and Efficiency Questions<\/h2>\n
Strategic and Forward-Looking Questions<\/h2>\n
How to Get Started<\/h2>\n