About

We built the measurement layer we couldn’t buy.

DataSivio exists because retail media grew faster than anyone’s ability to measure it honestly. We are the neutral layer that tells you what your spend actually did.

Our mission

Every dollar of retail media spend generates a claim of credit - from the platform that sold the placement. Brands and their agencies are left reconciling three different stories about the same sale. DataSivio replaces those stories with one causal, geo-based model that is neutral, inspectable, and built to survive scrutiny.

We are a measurement company, not a media company. We hold no inventory, sell no placements, and have no reason to favor one channel's reporting over another's.

Neutral by design

We are not a retail-media agency and we do not sell media. Our incrementality models have no incentive to inflate any one channel - the number we give you is the number we would defend under audit.

One causal model

Amazon, Walmart, and Target each publish their own attribution - and each one takes credit for the same sale. We built a single geo-based causal model that nets out overlap and tells you what actually moved.

Built for the number you defend

Dashboards are easy. A number that survives a CFO’s question is not. Every output in DataSivio traces back to a documented, inspectable method - not a black box.

How we got here

2023

The problem became obvious

Retail media spend was compounding across Amazon, Walmart, and Target - and every platform’s dashboard claimed the same incremental sale. Brands and agencies had no neutral way to reconcile the three.

2024

The measurement layer

DataSivio started as a geo-experiment engine for a handful of CPG advertisers, replacing platform-reported ROAS with causal lift estimates that held up in board rooms.

2025

Full-channel, one model

We expanded from retail media into full-channel measurement - connecting media, commerce, and finance data into a single incrementality model any team can query.

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Talk to an analyst about how the model works, or join the waitlist to be first in line for access.

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