About POPULAB

Built from experience across the syndicated research ecosystem.

POPULAB was created from years of hands-on experience preparing, integrating, serving and managing respondent-level research data across major and specialist providers, including Vividata, GWI, Kantar, Nielsen and MRI-Simmons.

The recurring pattern

Different organizations were repeatedly solving many of the same infrastructure problems.

Across providers, markets and study waves, the same pattern kept appearing.

Data had to be transformed.
Metadata had to be normalized.
Permissions had to be managed.
Analytical services had to be built.
Usage had to be tracked.
Every new application required much of the same backend work all over again.

The industry has extraordinary data and deep domain expertise. What it has lacked is a common infrastructure layer that allows that value to be reused efficiently.

Why POPULAB exists

Respondent-level data serves many different users.

A media planner, researcher, strategist, product manager and client executive may work from the same underlying dataset, but they approach it with different questions, workflows and levels of technical expertise.

Media planner
Researcher
Strategist
Product manager
Client executive
All working fromThe same underlying dataset.

Different questions. Different workflows. Different levels of technical expertise.

The historical trade-off

A broad, general-purpose interface—or expensive bespoke applications.

Historically, this created a trade-off.

Software providers could build

A broad, general-purpose interface.

Or organizations could invest in

Expensive bespoke applications.

Generative AI is changing that equation.

Creating specialized front ends, dashboards and workflows is becoming dramatically faster and less expensive. Product teams can increasingly build experiences around what their users actually need.

What stays hard

The difficult part remains underneath.

Enterprise-grade data ingestion, respondent-level analytics, access control, entitlements, governance, metering and reliable application services are still complex infrastructure problems.

The layer underneath every product
Data ingestionRespondent-level analyticsAccess control EntitlementsGovernanceMeteringReliable application services

POPULAB was built to solve that layer once.

One platform. Many products.

A common enterprise platform for the organizations that create respondent-level data, integrate it, and build products and services with it.

The objective is greater efficiency across the ecosystem.

Configure once Transform once Authorize once Govern once Build once Serve many times
Research owners

Make their data easier to distribute and build on. For research owners

Agencies and media organizations

Turn licensed research, proprietary methodologies and customer knowledge into differentiated applications. For agencies For media owners

Software and AI teams

Incorporate respondent-level intelligence without having to build specialized research infrastructure themselves. For software & AI teams

The people closest to the customer usually understand the use case best. POPULAB gives them the enterprise foundation to build the product around that knowledge.

The vision

A shared platform underneath. Many differentiated products on top.

POPULAB’s vision is a more efficient respondent-data ecosystem: one in which common infrastructure does not need to be recreated by every organization, in every market, for every application and every new wave of data.

Underneath
Not per organizationNot per marketNot per applicationNot per wave of data

A shared platform underneath.

On top
Many productsDifferentiatedBuilt around what users actually need

Many differentiated products on top.

Build once. Serve and sell many times.

About POPULAB

Your organization knows the use case. POPULAB provides the foundation.

Talk to us about turning licensed research, proprietary methodologies and customer knowledge into differentiated products on a shared enterprise platform.

Become a Strategic Partner