Measure Outcomes,
Not Proxies
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The Core Challenges of
TV Attribution: Solved
Apples-to-Apples Comparison Across Linear & CTV
Problem: Traditional measurement silos lead to inflated ROAS by double-counting
conversions across Linear TV and Streaming TV.
The Solution: RSLT TV unifies all exposures in one framework. We de-duplicate the data to
eliminate overlap, delivering a true, accurate Return on Ad Spend (ROAS).
True Incremental Lift
Problem: Most attribution models take credit for sales that would have happened
anyway (organic traffic), falsely inflating your ROAS and wasting your budget.
The
Solution: RSLT TV establishes a dynamic baseline. We isolate net-new, ad-driven lift so you
only pay for performance, not coincidence.
No Pixels. No Blind Spots. Privacy by Design.
Problem: Attribution platforms relying on IP-address tracking (Identity-based
attribution) are losing signal due to VPNs, mobile data usage, and privacy legislation.
The Solution: RSLT TV uses Signal-Based Measurement. We don’t track users; we
track impact. This makes us immune to cookie deprecation and 100% future-proof.