CPA and ROAS from ad platforms are self-reported and inflated. Adrsta gives performance teams the causal measurement layer to know what actually works.
Book DemoThe challenge
Every channel claims credit for the same conversion. Without incrementality measurement, you're paying for results that would have happened anyway.
Setting CPA targets from historical attribution data means you're optimizing against a flawed signal — one that doesn't reflect true incremental cost.
Shifting $500K between channels based on last-click attribution is a guess. You need causal evidence before reallocating at scale.
The solution
Performance marketing teams are drowning in dashboards and starving for signal. Platform ROAS overstates true impact, CPA targets are set without incrementality insight, and budget decisions are made on attribution models designed to make every channel look good. Adrsta cuts through the noise.
Platform
Use cases
Scenario
A DTC brand running $3M/month across Meta and Google wants to know the true incremental ROAS of each channel.
Outcome
Synthetic control geo study reveals Meta is 60% self-attributed. Budget reallocated to high-incrementality search tactics.
Scenario
Performance team needs to justify retargeting spend to CFO but platform attribution overstates impact.
Outcome
Incrementality study shows retargeting delivers only 30% incremental lift. Budget shifted to higher-performing prospecting.
Scenario
Agency needs to prove campaign value to a client threatening to reduce spend.
Outcome
MMM model quantifies true contribution per channel with confidence intervals — giving the client defensible evidence of impact.
30%
Reduction in misattributed spend
22%
Improvement in lead quality
18%
Average incremental lift uncovered
2×
Faster budget decision cycles
Book a demo and see how Adrsta can help your team measure what matters, allocate budgets with confidence, and prove every campaign's impact.
No commitment required.