What Tatari is
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.
Send resolved purchases to Tatari so linear and streaming TV are measured against the same order data as every other channel.
What Upstack sends
order_idShopify order and checkout tokenemail / phonecustomer contact from checkoutcustomer_idShopify customer record, if they have oneline_itemsproducts, variants and quantitiestotal / subtotal / discountorder economicsStorefront events from the Upstack Pixel, orders directly from Shopify.
customer_typeNew or returning, resolved before send.hashed email / phonematch a purchase to an exposed householdip / user_agenthousehold matching for a no-click channelorder timestampcorrelate against airing timesvalue / currencyfeed the incrementality model revenuecustomer_typeseparate acquisition from repeat purchaseTV and streaming, measured on revenue.
See the set-up reference See all 12 sources How resolution works
About Tatari
Correlation-based measurement is unusually sensitive to noise in that feed.
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.
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.
What you can do with it
01
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.
02
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.
03
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.
Pre-built connectors
Documentation
Set-up, event schema and field mapping for Tatari as a destination.
FAQ
Send resolved purchases to Tatari so linear and streaming TV are measured against the same order data as every other channel.
Open Tatari › Measurement › Conversions. The conversion feed is the input to the lift model, so its completeness is checked here first.
All plans. Upstack has three plans that scale with your order volume, and the same integrations are on every plan.
12 sources: Shopify, WooCommerce, BigCommerce, Checkout Champ, Recharge, Custom stack, Funnelish, Lasso Commerce, Phoenix Technologies, Skio, Loop Subscriptions and Stripe. Each one has its own pre-built connector.
Upstack’s own pixel loads asynchronously and fails silently, so it doesn’t hold up your pages. What each destination adds depends on its Tracking Method. The default, Browser + Server, loads that platform’s own tag on your store, in place of the copy you would otherwise install yourself, and also sends the same events from Upstack’s servers. Choose Server for any destination that offers it and its tag never loads, while its events still arrive from Upstack’s servers.
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MGID Native conversions with identifiers attached. A 15-minute walkthrough tailored to your stack and channels.