The report ends at the form
A lead is counted before anyone knows whether it became paid work.
DataGlue for Marketing & growth leaders
I can see the clicks. I need to see what came next.
Your ads and website see the first visit. The CRM and tills see the sale. DataGlue joins the recorded path and sends the outcome tag to the tools you use.
A dedicated team builds it with you. Start with one decision.
Website & ad click IDsCRMBookingsPOS / tills
DataGlue
Show the formula.
Which events. In what order.
Example tagAd visitor became a paid client
To your CRM, ads, BI, email or chosen LLM.
Connections and destinations agreed in the build.
Sound familiar?
You could bring in leads. You just can’t see where they went.
Store sales sit elsewhere
A till or loyalty system holds purchases your website report cannot explain.
Channels claim the same win
Teams apply different conversion rules, then compare different totals.
Audiences miss the latest step
A buyer can still sit on a prospect list when their payment is in another tool.
A joined picture
Define the result beyond the click.
Say what a useful result means: a visit, a call, a signed deal and a payment. DataGlue shows the event formula and joins the available records behind it.
Systems usually joined
- Website & ad click IDs
- CRM
- Bookings
- POS / tills
- Loyalty
- Payments
Example 01
- Website: paid-ad visit
- CRM: consultation completed
- Billing: payment received
In this order, within 30 days, with a confirmed customer link. This records a path, not proof of cause.
Events → tagAd visitor became a paid client
Example 02
- Website: member signed in
- Loyalty: member purchase recorded
In this order, within 7 days, on the same member ID.
Events → tagMember visit became a purchase
Example 03
- Email: offer clicked
- POS: member purchase recorded
In this order, within 7 days, with the same confirmed member ID and permitted use.
Events → tagOffer click followed by store purchase
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.
The path after a lead
Join calls, deals and payments to the first visit.
One conversion rule
Show the steps that earn the tag.
Offline sales included
Use till and loyalty records where matching is supported.
Useful audience tags
Send recorded outcomes to your ads or email tools.
Checkable reporting
Keep the observed journey separate from modelled credit.
Your existing stack
Build around the channels and reports you already use.
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 an attribution tool?
Yes, for choosing and comparing credit models. DataGlue joins the result behind that credit: the call, deal or payment and the confirmed customer link. You can keep your attribution tool and feed it a better defined outcome.
Can you prove which ad caused a sale?
A recorded path does not prove cause. DataGlue shows the linked steps and their sources. Your attribution model or experiment answers a different question about credit or impact.
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…
- Your customer journey crosses web and sales or store systems.
- You need a shared conversion definition beyond a lead.
- You have recorded customer IDs and permitted destination uses.
Probably not a fit
This may not suit you if…
- You only need a website traffic report.
- You expect every anonymous store visit to identify a person.
- You want causal claims from a sequence of recorded events.