Every service starts from a question a business owner actually asks, and ends with a plain-English case study, an interactive dashboard, and an AI assistant built from your own data.
"What should I charge, and which promo actually pays?"
Price too high and volume drops; too low and margin disappears. Promotions add another layer: many campaigns move stock without adding profit.
We analyze your sales history to find the price the market bears for each product and season, and separate promotions that create profit from those that only create activity.
"Who are my best customers, and why do regulars leave?"
In most businesses a small group of repeat customers carries the revenue. Losing one of them quietly costs far more than a slow sales day.
We identify your high-value customers, estimate what each is worth over time, and flag the ones showing signs of leaving, early enough to win them back.
"How much should I stock, and when?"
Stockouts lose sales you never see; overstock locks up cash and expires on the shelf. Both come from ordering on gut feel.
We turn your sales history into demand forecasts and reorder points, so ordering becomes a rhythm you can plan around, including holiday peaks.
"Which campaigns make money, and which burn it?"
Ad platforms report clicks and reach. Your bank account reports something different. The gap between the two is where budgets quietly burn.
We connect campaign spend to actual sales, so you know the true return of each channel and campaign, and where the next ringgit should go.
"Which products and outlets actually make my money?"
Total sales can look healthy while individual products, outlets, or days quietly lose money underneath.
We break performance down to the level where decisions live: by product, outlet, day, and channel, so you know what to grow, fix, or drop.
One short conversation, and we will tell you whether your data can answer it, and what the analysis would look like.
Contact Pau Analyticsor email admin@pauanalytics.com · Kuala Lumpur, Malaysia