We give you a secure way to bring your data together with a partner's, and with Neighbourly's location and demographic signals, without either side exposing raw records. You unlock the insight that only combined data can reveal, in an environment built for privacy, trust and Canadian data residency.
Collaboration · SecureThe most valuable insight often sits across a boundary you cannot cross. Your first-party data and a partner's data would be far stronger combined, but legal, privacy and competitive concerns keep them apart. So teams settle for coarse aggregates, manual file swaps that put data at risk, or partnerships that never move past a signed intent. The value stays locked because there is no safe place to work on shared data together.
A data clean room where you and your partners contribute data into a governed, neutral environment. Analysis runs on the combined data while raw records stay protected, so both sides collaborate on shared value without ever handing over their underlying data.
We match records across partners using privacy-preserving techniques, so overlapping customers, households or locations are resolved without exposing personal identifiers. You see where audiences meet and how they behave, not who they are, keeping matching compliant and defensible.
We structure the terms, controls and mechanics of a data partnership so each party knows exactly what is shared, for what purpose and under which rules. Partners can exchange enrichment safely, turning two limited views into one richer, permissioned picture.
We connect your first-party data to trusted second and third-party sources, including Neighbourly's Canadian location and demographic data. Every feed is integrated with clear provenance and consent, so enrichment adds signal without adding risk.
We build the shared analytics that combined data makes possible, from overlap and audience analysis to joint measurement and modelling. Insight is delivered to each party at the agreed level of detail, so everyone gains without compromising anyone's data.
By joining your data with a partner's and with location context, you answer questions neither dataset could alone, from true audience overlap to how demographics and geography shape behaviour.
Your records gain depth from trusted external signals, so segmentation, targeting and modelling improve without you collecting or storing sensitive data you do not need.
Data you already hold becomes a partnership asset. You open new commercial arrangements, joint offerings and measurement services, turning a cost centre into a source of growth.
Every match, join and output runs inside a governed, privacy-safe environment, so your legal, privacy and security teams can approve the work with confidence and it holds up to scrutiny.
We agree the shared goal, the questions worth answering and the rules of engagement with each partner, then set the governance, purpose and privacy guardrails before any data moves.
We stand up the data clean room and secure connections, with data residency in Canada, so each party contributes data into a controlled space rather than sending files to one another.
We resolve identity and overlap across the contributed data using privacy-preserving matching, so records join accurately while personal identifiers stay protected.
We run the joint analytics on the combined data and deliver shared insight to each party at the agreed granularity, so collaboration produces value everyone can act on.
A data clean room is a secure, neutral environment where two or more parties contribute data and run agreed analysis on the combined result, without any party seeing the other's raw records. Data collaboration is the practice of using that environment to match, enrich and analyze data together, so partners unlock shared insight and value while their underlying data stays protected.
Yes. Every engagement is designed around Canadian privacy expectations, including PIPEDA, with clear purpose, consent and data-minimization built in. Matching uses privacy-preserving techniques so personal identifiers are not exposed, and data residency stays in Canada. We define the governance and controls so your privacy, legal and security teams can approve the collaboration.
No. The point of a data clean room is that no one takes possession of anyone else's raw data. Each party contributes into a governed environment, analysis runs on the combined data, and outputs are delivered at an agreed level of detail. Your records stay yours throughout.
Alongside partner data, you can enrich with Neighbourly's Canadian location and demographic signals. That external context often reveals patterns first-party data alone cannot, sharpening audience, market and location insight within the same privacy-safe environment.
It can. Once you can share data safely, your first-party data becomes a partnership asset. Brands, retailers, media owners and financial services use collaboration to build joint audiences, shared measurement and new commercial offerings, turning data you already hold into a genuine source of growth.
We begin by aligning on the goal, partners and guardrails, then stand up the secure environment, match the data and run the joint analytics. You leave with a working collaboration environment, matched and enriched datasets, joint insights and a governance and privacy framework that lets the partnership continue with confidence.
Decide exactly where data should create value first, with a prioritized roadmap and aligned stakeholders.
Explore service →FoundationsClean, unify and enrich your records so your teams work from one accurate view.
Explore service →CustomersSee who your customers are, what they are worth, and where to find more of them.
Explore service →Tell us where you are and where you want to get to. We'll map the shortest path there.