See every stage a guest goes through – discovery, booking, the visit, the review, the return – with the touchpoints, content and metrics for each, in a map you can edit.
Why it matters
A restaurant customer journey is the path a guest takes from first hearing about you to becoming a regular: finding you in search, on a map or through a friend; checking the menu, photos and reviews; booking or ordering; the visit itself; paying; and what happens afterwards – the review they leave, the message they receive, the reason they come back.
Most restaurants measure only the middle – covers and average spend – while the decisions that fill tables happen before the visit (reviews, photos, availability) and after it (follow-up, loyalty, word of mouth). Mapping the whole journey shows where guests drop out and which touchpoint deserves your next hour.
Customer Journey Mapper builds that map for you: five stages from awareness to advocacy, each with its touchpoints, the content that works there and the metrics to watch. When your customer data is in The AI CMO, the map uses it – how many customers you have, their average order and lifetime value, and how they split across lifecycle stages. Then shape it on the canvas: rename stages, add the ones your restaurant needs and connect them.
Benefits
Awareness, consideration, decision, retention and advocacy – so the review a guest reads before booking and the message they get after the visit are on the same map as the meal.
Each stage lists where guests meet you, the content that works there and the numbers that tell you whether it is working.
With your customer data in The AI CMO, the map is grounded in your own customer count, order values and lifecycle mix rather than a generic restaurant.
Move, resize, rename and add stages on the canvas, connect them with arrows, save the map to your library and improve it in Chat.
Use cases
Challenge
A restaurant with no regulars yet and little search presence.
Solution
Map the awareness and consideration stages first – maps listing, photos, menu, early reviews – so the first guests can find you and decide.
Challenge
Guests like the food, but midweek tables stay empty.
Solution
Look at the decision stage: availability, booking friction and the reasons to visit midweek, and the touchpoints that reach guests on those days.
Challenge
Plenty of first-time guests, few come back.
Solution
Build out retention and advocacy – a thank-you after the visit, a reason to return, a way to bring friends – with a metric for each.
FAQ
Discovery, research, booking or ordering, arrival, dining, payment and departure, then the post-visit stage where guests review, receive follow-up and decide whether to return. The AI CMO groups them into five – awareness, consideration, decision, retention and advocacy – and you can split any stage on the canvas.
List the stages a guest goes through, write down every touchpoint in each – search, maps, reviews, website, booking, the visit, receipts, follow-up – and decide what you want the guest to feel and do at each one and how you will measure it. Customer Journey Mapper drafts this from your business description and your customer data, then lets you edit it.
A common version: greet guests, seat them, take the drinks order, take the food order, serve, check back and clear, then present the bill and say goodbye. They cover the visit itself – one part of the wider customer journey, which starts well before guests arrive and continues after they leave.
Yes, when your customer data is in The AI CMO: the map is grounded in your customer count, average order and lifetime value, and how your customers split across lifecycle stages.
In your library, with your other work. Open it to edit on the canvas, or improve it in Chat.
Create an account, connect your data and channels, and try it on your own customers.