LoyaltyJuice

Nudge AI

Your AI guest-retention manager

Most loyalty apps count stamps. Nudge watches the pattern behind them. It learns how often each guest normally comes back, notices the moment they are overdue, and tells you who to win back, why, and what to say — before they become a stranger.

What Nudge does every day

  • Learns each guest’s rhythm

    A weekly regular and a monthly one are overdue at different times. Nudge builds a baseline per guest from their own visits instead of applying one 30-day rule to everyone.

  • Flags who is slipping

    The at-risk list shows guests who are past their usual return window, with the reasoning in plain language, so you can see why someone is on it.

  • Drafts the message

    Win-back wording is drafted in Gulf Arabic or English to match the guest’s language. You review and approve before anything is sent.

  • Answers questions from your data

    “Ask Nudge” answers questions such as “who were my best guests last month?” from verified programme data — not guesses.

Why it matters

Winning back a guest who already knows you is far cheaper than finding a new one, but only if you act while the habit is still there. A paper card or a basic stamp app tells you nothing about who has stopped coming. Nudge turns that silence into a short, daily list of people worth a message.

You stay in control

  • Consent first

    Only guests who opted in to marketing when they joined are ever included in a campaign audience.

  • Approval before sending

    Nothing goes out without your sign-off on the wording and the audience.

  • Results you can check

    Nudge shows which win-backs came back, so you can see whether it is working for your business.

Frequently asked questions

Is Nudge AI included in every plan?
Yes. Every plan includes Nudge AI. What else each plan includes is listed on the pricing page for your market.
Does Nudge send messages on its own?
No. It prepares the audience and drafts the wording; a person on your team approves before anything is sent.
How much data does it need?
It starts learning from a guest’s second visit. The more visits a guest has, the more precise their return window becomes.