
Behind each figure stands a moment: a cashier pointing out a bundle deal, a vendor explaining why tomatoes jumped after storms, a commuter showing a new transfer rule on transit. Field notes preserve details algorithms miss—stockouts, substitute brands, and neighborhood-specific surcharges. We time visits across weekdays and weekends, noting early-morning markdowns or late-night premiums. These observations transform bare prices into context, revealing the quiet frictions shaping everyday spending decisions.

Web prices are convenient but tricky. Some sites lag behind shelf updates, exclude clearance items, or hide loyalty discounts until checkout. We scrape responsibly, then cross-check against receipts and photographed shelf tags. Delivery fees, service charges, and surge pricing can outweigh advertised savings, so those are recorded, too. When online-only packs differ in size, we convert to standardized units. The result is a blended, careful picture that respects how people actually pay.

Comparisons collapse if a 900-gram bag is weighed against a 750-gram competitor without correction. We normalize to consistent units, indicate brand tiers, and capture quality notes like organic certification or fat percentage. We also count hidden costs—bottle deposits, bag fees, fuel surcharges, and minimum order thresholds. Loyalty points are converted into conservative monetary equivalents. These adjustments protect fairness and prevent misleading claims, turning price tags into true costs seen on final receipts.
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