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Shifting the way restaurants do business online.

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Behavioral Analysis

Every customer who visits your site is making small decisions the entire time — what they linger on, what they skip, what makes them hesitate before booking. Behavioral Analysis watches that in real time, so you can see how people actually shop your menu instead of guessing.

This isn’t just a heatmap for its own sake. Understanding how customers think through their decisions lets you run smoother shifts, because you’re staying ahead of demand instead of reacting to it. If a dish is getting looked at heavily but not ordered, that’s worth knowing before you’re 200 covers deep on a Saturday wondering why it’s not moving. 

On its own, behavioral data gives you a picture of what’s happening. Paired with the rest of your customer data — who’s ordering, how often, what brings them back — it becomes something more useful: a real read on where the friction is between someone landing on your site and someone actually walking through your door.

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FAQ

Is this watching individual customers or overall patterns?

Patterns. The goal is understanding how people, in general, move through decisions on your site — not tracking any one person specifically — that would be weird.

How is this different from Tracking & Analysis?

Tracking & Analysis turns your data into strategic direction over time. Behavioral Analysis is the real-time layer underneath it — what’s happening on your site right now, as it happens.

Do I need to log in and check this myself constantly?

No. This feeds into the broader system and the insights you get from it — you’re not expected to babysit a live dashboard during a dinner rush.

What can I actually do with this information day to day?

It helps you stay ahead of demand instead of reacting to it — noticing a dish getting attention but not orders, for example, before you’re deep into a shift trying to figure out why something isn’t moving.