Enhance your measurement models with retail data.
MMM, MTA, and incrementality platforms all highlight the impact of your marketing efforts, but they can't see retail sales.
Brij captures retail and Amazon buyer data, verifies it, then sends it into your measurement tools and ad platforms.
.svg)
Brands using Brij have seen:
Brij vs. MMM, MTA, & Incrementality Tools
Measurement platforms are the reporting layer.
MMM, MTA, & incrementality tools read the data your business already produces, then model, triangulate, and share insights on marketing outcomes. Each of these models depend on the quality of the inputs underneath it.
Brij is a data channel and a signal layer.
When a shopper buys you in-store and opts-in via a Brij experience, Brij verifies that purchase and turns it into deterministic event data. Then, Brij sends this data to ad platforms (Meta, Google, and TikTok), into your CRM and email/SMS tools, and into your data warehouse where your measurement partners can use it.
Better models start with better inputs.
Your measurement stack is only as good as the data it can see. For an omnichannel brand, the majority of sales happen somewhere a pixel cannot reach. Brij closes that gap, making your models smarter than ever.
Your MTA can finally see the retail conversion
MTA is at its best when there is a digitally observable path from ad to checkout. For a brand doing most of its volume at retail and on marketplaces, the conversion event at the end of the path does not exist in any system MTA can read.
Brij supplies the missing endpoint. Verified retail and marketplace purchases become real, time-stamped conversion events, attributing non-DTC purchases to the digital campaigns that drove the sales.
Your MMM gets a deterministic input instead of an inference
MMM is probabilistic. It is the right tool for allocating budget across a portfolio, but when retail sales data isn't visible, the model has to infer the relationship from correlation, often using weekly shipment or syndicated data with significant lag.
Brij is a clean, continuous, transaction-level source for deterministic retail, Amazon, and marketplace data. By feeding Brij data into your model, there's less guesswork for the model to do.
Brij Signal improves paid media delivery and efficiency
Reporting on a campaign does not make the campaign better. Changing what Meta, Google, and TikTok optimize against does.
Brij sends verified offline and marketplace purchases to Meta, Google, and TikTok. Platform attribution is reclaimed, audiences expand, and ad delivery gets smarter.
What brands say about Brij
Brij is giving us visibility into consumers we previously couldn't see. By capturing registrations from retail purchases and feeding that data back into our marketing ecosystem, we're improving our paid media efficiency across Google, TikTok and Meta, and building a more complete view of our consumer. Those insights are now shaping everything from CRM strategy to future product development.
Feed your measurement stack with better signal.
Frequently asked questions
What brands ask when they have a MMM, MTA, or incrementality tool in their stack today.
We already use Triple Whale. Do we need Brij?
Is Brij a fourth attribution methodology?
How is this different from Sonar Optimize, Northbeam Apex, or an incrementality-adjusted CAPI feed?
But when a shopper buys your product at Kroger, no pixel firs, no order record is created, and there is nothing to enrich or re-weight. Brij creates that event from the purchase itself. Brij adds net-new signal to inform your models.
Our MMM already accounts for retail sales. Isn't that covered?
Brij gives your models observed, transaction-level purchases from real buyers, continuously. Your MMM partner still does the modeling. They just do it on a stronger input.
We run incrementality tests. Doesn't that show me how marketing impacts retail sales?
Brij gives you a faster, cleaner outcome signal to test against
Can Brij data feed our existing measurement platform?
What ad platforms does Brij connect to?
Is my customer data secure?
We run incrementality tests. Doesn't that show me how marketing impacts retail sales?
Brij gives you a faster, cleaner outcome signal to test against
