The first question in many data partnerships is simple
Before companies commit to a data partnership, they often need to know whether there is enough overlap to make the collaboration worthwhile.
Examples:
- A consumer brand wants to know how much overlap it has with a retailer or media network.
- A data vendor wants to show a buyer that its dataset covers the buyer’s entities.
- A healthcare organization wants to evaluate patient or member overlap with a partner.
- A financial-services or insurance team wants to test whether an external dataset covers enough of its population.
- Two organizations want to understand whether a joint cohort is large enough before negotiating a larger integration.
The problem is that answering this simple question can require heavyweight tokenization, clean-room onboarding, or custom integration.
Invocate lets teams answer the overlap question first.
This is one of the data transactions invocate makes possible: the provider sets the terms, the computation runs without either side surrendering its data, and only the approved result is released. See the other solutions.
Private overlap, purpose-built for early evaluation
Each party contributes data into a secure escrow environment. The escrow computes the approved overlap analysis and releases only the agreed result.
For example:
- number of records in common;
- percentage overlap;
- match rate by segment;
- cohort size;
- overlap above or below a threshold;
- overlap report approved by both parties.
No raw records are exchanged
No shared token table or linkage function
No full integration just to test value
Why teams use escrow for private overlap
No raw data exchange
Each party keeps its records protected inside a confidential computation workflow.
No shared identity token; no external linkage function
The goal is to compute the approved overlap result, not to create a reusable identity spine or delegate the linkage function to a third party.
No heavyweight partner onboarding
One party can initiate the workflow and invite the other side to participate through a lightweight process.
From overlap to next-step analysis
If the overlap is promising, the same escrow workflow can support follow-on analyses such as cohort evaluation, model lift, campaign measurement, or vendor-data testing.
Why not just tokenize first?
Tokenization can be valuable when companies need persistent linkage, network interoperability, or reusable identity infrastructure.
But many collaborations do not begin there.
Many begin with a narrower question:
“Do we have enough overlap to justify the next step?”
For that question, a purpose-bound escrow workflow can be faster and lighter than onboarding both parties into a broader identity-resolution infrastructure.
The parties get the answer they approved, not each other’s data
A private overlap test might return:
- 42,100 overlapping records;
- 18.4% overlap between the two datasets;
- 31.2% overlap in the target region;
- 11,500 records in the eligible campaign cohort;
- no row-level export;
- no reusable shared identity token.