Point of Purchase

Point of Purchase (also called Point of Sale) measures where retail transactions are completed and compares each channel or location over a given period. Retail organizations can measure this at a macro level (online vs. in-store) or a micro level (specific checkout lanes or individual URLs). The goal is to know where customers are buying, spot trends, and put resources where they'll have the most impact.

Why Point of Purchase matters

Knowing where purchases close helps you make faster, more confident decisions about staffing, inventory placement, and merchandising. It also tells you which channels drive higher Average Order Value and repeat purchases, so you're not guessing when it's time to allocate budget or adjust operations.

Without this picture, you're reacting. With it, you're ahead.

How to calculate Point of Purchase

There's no single formula, but the core calculation for share by point is:

Share of transactions by point = Transactions at point / Total transactions

To get there, you need three things:

• Define your points. Online store, marketplace, retail locations, kiosks, or individual checkout lanes.

• Count transactions and revenue. For each point, sum orders, units, revenue, and returns.

• Compute share. Apply the formula above to see how each point contributes to the whole.

Data you need

• Order data with channel, location, or lane

• SKU and category for product mix analysis

• Returns and exchanges by point

How to improve Point of Purchase results

Once you know where purchases are happening, you can act on the pattern.

• Remove friction. Speed up checkout, reduce steps, and surface the payment options your customers actually use.

• Merchandise by context. Adjust assortments and pricing by channel or location based on what converts, not what you assume.

• Route customers smartly. Offer BOPIS or ship-from-store to meet demand quickly and reduce pressure on any single point.

Track Point of Purchase in Klips

Klips connects your POS and e-commerce platforms so you're not pasting numbers into a spreadsheet or explaining your channel mix to a tool that doesn't know your business.

• Connect your sources. Pull order data from your POS and web platforms directly into Klips.

• Model your metrics. Calculate transactions, revenue, Average Order Value, and share by point using Excel-like formulas.

• Visualize clearly. Use a stacked bar for share by point and a map for store-level performance.

• Set thresholds. Colour rules flag locations trending down before the problem compounds.

• Share automatically. Send a weekly channel mix report to retail and e-commerce leads on a schedule, no manual pulling required.

Common pitfalls

• Inconsistent tagging. Clean your channel and location fields before reporting, or your share calculations will mislead you.

• Ignoring returns. Net revenue is what matters, not gross orders. A high-volume point with high return rates may be costing more than it earns.

• Same targets for all points. A flagship store and a rural kiosk operate in different contexts. Set goals that reflect each point's realistic ceiling.