Tatari

Send resolved purchases to Tatari so linear and streaming TV are measured against the same order data as every other channel.

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About Tatari

What Tatari is, and why identity matters to it.

Tatari buys and measures linear and streaming television for direct-to-consumer brands.

Television is bought in flights and measured in lift, which only works if the revenue side of the equation is trustworthy.

How it works

How Tatari works.

Tatari correlates airings with site traffic and conversions over time, building an incrementality model rather than a click path. That model is fed by whatever conversion data the advertiser supplies.

With Upstack Data

Get more out of Tatari with Upstack Data.

Upstack supplies resolved orders server-side, deduplicated and attributed consistently, so the model correlates airings against real revenue rather than browser events with their own gaps. Correlation-based measurement is unusually sensitive to noise in that feed.

What you can do with it

Three jobs this connector does inside Tatari.

Send complete conversions
Conversions reach Tatari through its server-side API with restored click IDs and hashed identifiers attached, so more of what you send is matched on arrival — and the conversions you never saw stop being invisible.
Optimise on the customer you want
Map any order attribute to the conversion Tatari receives — profit rather than revenue, new customers rather than repeat buyers, high-value orders rather than every checkout — so the platform learns from the buyers worth acquiring.
A clean feed for the lift model
Correlation-based measurement is only as good as its revenue series, and a resolved server-side feed removes tracking noise that would otherwise read as variance.