Reporting & Analytics
Customer profitability analysis: who actually makes you money
The account at the top of your revenue list is rarely at the top of your profit list. Build a view that counts discounts, cost to serve and payment delay.
Variance analysis: the reason behind plan versus actual
Revenue under plan tells you nothing on its own. Split the gap into volume, price and mix, separate timing from permanence, and attach an owner to each cause.
Internal benchmarking: comparing against your own data
Stop measuring yourself against industry averages you cannot verify. Pick a reference point inside your own data, slice it properly, and act on the gap you find.
A metric dictionary: making everyone read the same number
Why one screen yields two numbers, and how to stop it: numerator, denominator, time window and filters, plus a two-week build for a working metric dictionary.
Inventory turnover and stock aging analysis
Inventory turnover and aging reports reveal the cash parked in your warehouse. Learn the formula, the age buckets, and how to clear slow-moving stock.
The GEO Dashboard: Which KPIs Matter for AI Visibility
Which KPIs really matter for AI visibility? Learn to read share of voice, citation rate, question coverage and the competitor gap, and skip vanity metrics.
Measuring AI Traffic: Seeing ChatGPT and Perplexity Visits in GA4
Visitors from AI search are hiding in your analytics. Learn to find AI traffic in GA4, split it into its own channel, and read the real limits of a click.
Building your own sales reports with a custom report builder
Choose dimensions, measures and filters to assemble your own sales report in minutes, then save, schedule and share it before anyone even asks.
How to build a sales report: KPIs and examples
Move from a wall of numbers nobody reads to a report that drives decisions. KPI selection, structure, cadence, audience and the mistakes to avoid.
Call center KPIs: AHT, occupancy and service level (SLA)
Service level, AHT, occupancy, abandonment, and first call resolution explained: what call center KPIs measure and why you balance them instead of maxing one.
Demand forecasting: aligning stock and sales on one dataset
Demand forecasting predicts how much you'll sell so stock, purchasing and cash stay aligned. How it differs from sales forecasting, and how to start simple.
What is RevOps (revenue operations)? Uniting sales, marketing and success
RevOps unites marketing, sales and customer success under one revenue engine. Here is what it is, why it matters and how a small team can build it — no silos.
Revenue intelligence: forecasting from conversation and pipeline data
Revenue intelligence turns conversation and pipeline data into a forward-looking forecast — how it differs from a dashboard, its signals, and where to start.
Forecast accuracy: how close are your sales predictions?
A practical way to measure the gap between your sales forecast and what actually happens, and the steps that close it over time.
Average deal size: how to measure and grow it
How to calculate average deal size correctly, why the average can mislead without the median, and how bundling, upsell, and ICP targeting grow it.
Customer concentration risk: when revenue leans on one client
Learn how to measure revenue concentration, spot the "one whale" problem early, and diversify before one client controls your business.
Meeting show rate: cutting sales no-shows
Show rate reveals how many scheduled sales meetings really happen — and how reminders, confirmations and genuine value bring more prospects to the table.
Revenue churn vs logo churn: which to watch
Not how many customers left, but how much revenue. A practical guide to separating logo churn from revenue churn and reading net revenue retention.
Email reply rate: how to improve it
Opens flatter you; replies tell the truth. How to measure your email reply rate and improve it with relevance, brevity, and one clear ask.
Lead-to-customer conversion rate
Measure how many leads truly become customers, benchmark it honestly, and pull the practical levers that lift the rate.
CAC payback period: when a customer turns profitable
How many months does it take to earn back the cost of a customer? The CAC payback period formula, a worked example, and practical ways to shorten it.
Growth vs profitability: the Rule of 40
A plain-language guide to the growth vs profitability trade-off, and how the Rule of 40 lets SMB and startup owners balance both in one number.
Activation rate: users who reach first value
The share of sign-ups who reach first value: how to define the aha moment, calculate activation rate by cohort, and improve it without fooling yourself.
Repeat purchase rate: the loyalty metric
The quiet metric that shows whether customers come back: what repeat purchase rate means, how to calculate it without fooling yourself, and how to raise it.