The booking is only the start
Arrival, ordering and the paid bill sit in other tools.
DataGlue for Hospitality operators
I want to know what happened after the booking.
Bookings, QR menus, ticketing and tills see different steps of a visit. DataGlue joins the steps your systems record using a shared guest, ticket or booking key.
A dedicated team builds it with you. Start with one decision.
BookingsQR menusPOS / tillsTicketing
DataGlue
Show the formula.
Which events. In what order.
Example tagBooked, arrived and paid
To your CRM, ads, BI, email or chosen LLM.
Connections and destinations agreed in the build.
Sound familiar?
You could welcome the guest. You just can’t see their full visit.
Ticket sales miss the door
A bought ticket does not tell you whether it was scanned.
Guest history is split
The loyalty system knows a return visit that bookings cannot see.
An anonymous order stays anonymous
A QR menu view alone cannot identify the guest at a table.
A joined picture
Follow the visit through recorded steps.
Name a useful result, such as attended and bought. DataGlue shows the formula, joins records on a confirmed key and sends the tag to the tool your team uses.
Systems usually joined
- Bookings
- QR menus
- POS / tills
- Ticketing
- Loyalty
- Guest CRM
Example 01
- Bookings: reservation made
- Bookings: guest arrived
- POS: linked bill paid
In this order, on the visit day, with the same confirmed booking or guest key.
Events → tagBooked, arrived and paid
Example 02
- Ticketing: ticket purchased
- Venue: ticket scanned
- POS: member purchase recorded
In this order, on the event day, with a shared confirmed customer ID.
Events → tagAttended and bought at the venue
Example 03
- QR ordering: guest order placed
- POS: linked order paid
In this order, on the same visit, with a shared order ID. An order key alone does not identify a returning guest.
Events → tagQR order completed and paid
Example rules, not customer results. We agree source access, match keys, time windows and tag destinations in your build.
How we work
One question. Five steps with your team.
The same build process, shaped around your decision and its sources.
Book a call
Bring one question.
Talk it through with the people who would build it. We find where its data lives today.
Working session
A working session to map your data.
We map every source behind the decision, then show you what it looks like glued together. You get the scope and plan before work begins.
Build together
We connect the pieces.
A dedicated team finds the signals, glues them into one living model and matches records on evidence. Your systems stay where they are.
Go live
Your first result, ready to use.
We take the first result live in your Glue Console. Ask in plain words, see what each step read, and open the counts to their rows.
Keep building
Your team keeps the Console.
Then the next outcome builds on the same model. The rollout runs in phases, each measured against the outcome.
What you get
Useful context. In the tools you use.
Booking-to-bill context
Link recorded arrivals, orders and paid bills.
Attendance you can check
Join ticket purchases with door scans.
Guest keys kept clear
Use confirmed links rather than assumed identity.
One result rule
Agree which steps mean a completed visit.
Tags for follow-up
Route permitted guest tags to CRM or email.
Your venue tools
Keep bookings, QR ordering and till systems in place.
See the working
Check the approach before the call.
Read the published outcome examples, source details and comparisons behind this approach. They explain the method; they are not measured results for your role.
Trusted by
Fair questions
What you might be wondering.
Couldn’t I just use our booking or till report?
Yes, for the steps each report contains. DataGlue fits when you need to follow the same visit across bookings, ordering, ticketing or loyalty. A trusted booking, order or guest key is needed for each link.
Can we identify every guest who scans a menu?
No. A menu scan is a recorded interaction, not a confirmed person. Guest-level joins need a shared recorded key and permitted use. We map those limits before promising a linked journey.
Do we need a data team or clean data first?
No. Bring one question and the names of the systems behind it. A dedicated team maps the sources, joins the records and builds the result with you. Your team sets ownership, privacy and quality rules.
What does it cost, and what happens on the call?
The first call checks the outcome, the sources and the fit. No system access is needed for that conversation. If it fits, we map the data in a working session. The build is a separate engagement, scoped and priced before work begins; there is no public rate card.
Your next step
Bring the question you keep coming back to.
We’ll talk through the outcome, where its data lives and whether a build fits. No system access needed for the first call.
Book a Call
Free first call. Scope and price agreed before a build begins.
Is it a fit?
An honest fit check.
A good fit
This may suit you if…
- A guest or visit question crosses several venue systems.
- Bookings, tickets or orders have usable shared keys.
- Your team wants a result it can check before follow-up.
Probably not a fit
This may not suit you if…
- You only need a till total for the shift.
- You expect anonymous QR views to reveal every guest.
- Your systems do not record the steps you need to join.