How to use this library
Wayflyer Intelligence works best when you ask it plain questions about your business, the same way you'd brief a smart colleague. Below are prompts other Wayflyer customers have found useful. Copy them straight in, or use them as a starting point and let the follow-ups do the work. Replace placeholders like [PRODUCT], [CATEGORY], [MARKET] with whatever you're curious about. Wayflyer Intelligence will ask follow-ups when it needs to.
Not sure where to start?
Start with this: "What were the top 3 highlights and 3 concerns from last month?"
It's the most-used opener with Wayflyer customers, because it gives you a fast read on your business and surfaces the things worth digging into. From there, follow the thread. If a concern is around ad spend, ask about ROAS by channel. If a highlight is a product breakout, ask what's driving it. Wayflyer Intelligence keeps the conversation in context, so each follow-up gets sharper.
1. Getting Started: First Look
The fastest way to see what Wayflyer Intelligence can do. Great for your first session.
"What were the top 3 highlights and 3 concerns from last month?"
"What were the top 3 highlights and 3 concerns from last week?"
"How is my business performing this quarter?"
"Give me a snapshot of this month compared to last month"
"Prepare a short summary for my next board meeting"
2. Sales & Revenue
Diagnose revenue trends, market splits, AOV shifts.
"Break down my revenue by sales channel for the last 30 days"
"How are my sales trending this month vs the same period last year?"
"Why has my average order value changed recently?"
"Compare revenue between my UK, US and ROW markets for this quarter"
"Which day of the week generates the most revenue?"
"Where did the order shortfall in [MONTH] come from?"
3. Products
Top, bottom and edge cases across your catalogue. Product-level only.
"What are my top 10 products by revenue this month?"
"Which products grew the most in units sold year on year?"
"Are there products I should consider dropping from my range?"
"Show me products with strong revenue but high discounting"
4. Marketing & Ads
Channel and campaign efficiency, with last-click attribution caveats.
"What's my ROAS by channel for the last 30 days?"
"Which marketing channel is most efficient at acquiring new customers?"
"How much am I spending on ads as a percentage of revenue?"
"Compare my Google Ads and Meta Ads performance this month"
"Which campaigns drove the most revenue last month?"
"Where should I be optimising my ad spend right now?"
5. Customers
New, returning, and where they're coming from.
"How many new customers did I acquire last month vs the same month last year?"
"What share of my revenue this quarter came from returning customers?"
"What's the average time between a customer's first and second order?"
"Which countries are my new customers coming from this month?"
"What's my repeat purchase rate this quarter?"
6. Unit Economics
CAC, LTV and how your acquisition engine is really performing.
"What's my CAC over the last 90 days and how has it moved?"
"What's my customer lifetime value?"
"What's my LTV to CAC ratio, and how has it changed year on year?"
"How long does it take a new customer to pay back their acquisition cost?"
"Which channel has the strongest LTV to CAC?"
"Why do you think my CAC is moving the way it is?"
7. Returns & Refunds
Refund patterns and problem products.
"How has my refund rate trended over the past 6 months, and are any products or channels driving it?"
8. Promotions & Discounts
Where discounting is helping and where it's just leaking margin.
"How much of my revenue this quarter came through promo codes, and which codes drove the most orders?"
9. Strategic Deep-Dives
The bigger questions. Diagnostic and directional.
"Given my current channel mix and CAC trends, where's the biggest lever to grow revenue over the next 12 months?"
"What patterns do you see in my data that I should act on?"
"Where is my biggest area of underperformance right now?"
"What's the biggest risk facing my business right now?"
"Tell me the story of my quarter so far, what went well and what didn't?"
10. Seasonal & Year-on-Year
Holiday and cyclical patterns.
"How did Black Friday 2025 compare to 2024 across orders, AOV and channel mix?"
"What can I learn from last summer to plan for this one?"
Guidelines on Building Custom Prompts
Be specific about time periods. Use concrete date ranges rather than vague terms like "recently." The system resolves relative dates, but explicit ranges reduce ambiguity and get faster results.
Avoid asking for forecasts or numerical projections. The system will refuse precise predictions. Instead ask for trend analysis or patterns: "is my retention trending worse?" rather than "what will my Q4 revenue be?"
Use plain business language. The system translates business questions into data queries internally. You don't need to know metric names or tool syntax.
Ask follow-up questions to drill down. The system is designed for multi-turn conversation and will suggest next steps. Follow those threads rather than asking one giant compound question.
Expect attribution caveats on paid social. If you ask about Meta or TikTok performance, the system will always lead with attribution context before numbers. That's by design, not evasion.
Keep the data request and output format in one sentence. Rather than "pull customer revenue and put it in a table," say "show me customer revenue for the last 90 days in a table." Connecting what you want fetched with how you want it displayed gets cleaner, more reliable results.