Product and customer insights

Choose what to compare

You can ask Gordon questions such as:

• Which products sell most on Tuesdays or Saturdays?
• What are the best sellers by units, orders or revenue?
• What sells during our lunch hours?
• Which products are bought with a particular dish?
• Which sizes and modifiers are most popular, including choices inside meals?
• What has an identified customer purchased most often?

Include the location, date range, ordering channel and product or category where relevant. Rankings by units, order frequency and revenue can differ.

Dates and times

If no period is specified or carried over from an earlier question, Gordon uses the last 30 local calendar days. Date ranges include both dates. Time windows include the start and exclude the end.

Specify lunch or dinner hours for a clear comparison. For overnight analysis, sales follow their actual local calendar weekday rather than automatically belonging to the previous service day.

Keep test and live activity and currencies separate. Paid-sales rankings exclude declined and fully refunded activity where payment records are available. A partial refund does not identify which individual products were returned.

Units, orders and revenue

Units count quantities, including choices inside meals. Order frequency counts each order once for the product, even if it appears on several lines.

A meal and its components can both appear in product analysis. Their combined quantities are not a count of independent meals sold. Revenue rankings use recorded product-line revenue; included choices do not automatically have separate revenue.

For low sellers, include current products with no sales if relevant. Keep in mind that a product available today may not have been offered for the whole period.

Products bought together

A pair means the products appeared in the same order, not necessarily the same meal or the same person's purchase. Companion percentages are based on orders containing the main product.

For example, if 20 of 50 orders containing a burger also contain fries, the companion share is 40%. A large order with several fries still counts as one order for this comparison.

Products bought together can suggest useful combinations, but the result does not explain why customers chose them.

Customer patterns

Identify the customer by more than a shared name. A drink purchased inside a meal can count alongside standalone drinks.

Review the period, quantities, number of purchases and ties. A group order may contain products for other people, so “most frequently purchased” is more accurate than assuming a personal favorite. Anonymous orders cannot establish an individual's habits.

Limits of historical analysis

Current categories, product links and costs may differ from those at the time of sale. Deleted products can remain in history under their saved names while falling outside today's category filters. Two products with the same name can still be separate products.

Revenue minus today's cost is not historical profit. Quick modifier keywords are not included in this selection analysis, and weather correlations are not supported in Gordon's business analytics.

Check missing-data and small-sample notes before acting on a ranking. A list may show only part of the results; ask for the full comparison when needed.