Stop Guessing Which Restaurant Promotion Will Work — Let AI Forecast the Margin Impact First

Ask most restaurant owners how they decide on a promotion — a discount, a combo, a happy-hour window — and the honest answer is usually some mix of instinct, competitor-watching, and hope. The actual margin impact is rarely calculated in advance; it's simply observed afterward, once it's too late to adjust.

The five campaign types that cover most real-world promotions

WowMenu's AI Campaign Engine supports combo bundles, BOGO (buy-one-get-one), spend-and-get-free offers, straightforward discounts, and happy-hour time windows. Between them, these five structures cover the overwhelming majority of promotions restaurants actually run — the question has never really been about the mechanism, it's about which one will work for a specific menu and guest base.

Where AI recommendations come in

Rather than starting from a blank page, the AI analyses your own order history and guest behaviour to surface specific campaign ideas — bundling a frequently-viewed starter with a high-margin main as a combo, or identifying a consistently quiet Tuesday afternoon window that a happy-hour discount could realistically fill. These aren't generic templates; they're derived from your restaurant's actual data.

The part that actually changes decision-making: forecasting

Before any campaign goes live, AI sales forecasting projects expected redemption volume, revenue impact, and — critically — margin impact, drawing on item-level cost data where it's available. This converts the decision from "let's try a 20% off promotion and see" into "this specific combo bundle is forecast to generate X in incremental revenue at Y margin, compared to this BOGO alternative."

A real example of forecasting changing a decision

It's increasingly common for an owner to plan one campaign type, see the forecast, and pivot to a different one entirely — discovering, for instance, that a planned BOGO barely breaks even on margin once cost data is factored in, while an AI-suggested combo bundle for the same items forecasts meaningfully better.

Tracking against the forecast, not just the result

Once live, redemption rates, incremental revenue, and margin impact are tracked in real time against the original forecast — not just reported as a final number. This calibration loop means each campaign makes the next forecast more accurate, building institutional knowledge about what actually works for your specific restaurant rather than relying on industry averages.