Incrementality
Measure what a channel really adds.
Run geo holdout tests that show whether a channel actually drives additional revenue, orders, and customers - not just where conversions happened to show up. Klar isolates the lift, then feeds that learning back into your broader measurement.



























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Incrementality is the only deterministic, scientific way
to capture the total impact of a channel.
Measure true lift
Separate real impact from conversions that would have happened anyway - especially in retargeting and branded search.
Steer spend with less risk
Test awareness spend, new channels, or higher spend levels in selected regions before you roll them out across a full market.
Keep your model calibrated
Feed measured lift back into Klar’s MMM so it stays grounded in real-world outcomes, not just modelled assumptions.
Geospatial Testing Methodology
Identify the real incremental impact of a channel.
Klar runs incrementality as a geo-based workflow: define a clear question, design the test, build and validate the control, let the exposure period run, then read the effect in business terms.
Build a control you can trust.
Klar builds a synthetic control from weighted regions that best predict what your test region would have done without the intervention. That gives you a more credible counterfactual than comparing one market to another by instinct.

Start with a test design you can act on.
Good tests begin before spend moves. Klar helps structure the question, select exposed and holdout regions, size the budget change, and estimate the runtime needed to reach a meaningful result.


Read results in the metrics that matter.
Once the test has run, Klar measures the delta across outcomes such as revenue, orders, and customers, and expresses efficiency through metrics like incremental lift, iROAS, incremental CAC, or incremental CPO where relevant.

Use it where attribution reaches its limit.
Incrementality is built for the decisions that usually stay fuzzy: whether retargeting is really additive, how much halo your awareness spend creates, whether a new channel deserves budget, or whether an existing channel can still scale efficiently.

Feed every test back into Unified Marketing Measurement.
The value is not just the one-off answer. Klar uses test learnings to calibrate MMM and strengthen the broader measurement model over time, so future budget decisions start from a better baseline.

By measuring what a channel really adds, geo tests
are most useful for:
Retargeting Channels
Understand the effectiveness and incrementality of your retargeting channels.
Awareness Channels
Measure the halo effect your awareness channels really have.
Channel Scalability
Proof the scalability of a channel before wasting money on it.
"Before using Klar we were very reliant on Meta and spend was hitting a ceiling. Klar gave us way more signals allowing us to aggressively scale up new channels without decreasing contribution margin."
Jonas Geuens, Director eCom @ Loop Earplugs
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What our customers love about Klar

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For Brands
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