Measure Full-Funnel Incrementality

Get a single causal view of what’s truly driving sales across all tactics – so you can cut waste, prove ROI, and grow profit every week.

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Measure full-funnel incrementality
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Why Finance Teams Don’t Trust Marketing Reports

Your CFO isn’t pushing back because they don’t like marketing – It’s because marketing keeps bringing them numbers that don’t add up.

Your customer acquisition costs continues to climb and ROI slides

Leaving finance trying to figure out the real numbers and marketing stuck defending wrong metrics

Up to 40% of ad spend delivers zero incremental sales

Yet platforms still continue to claim credit for “ROAS” resulting in misallocation & spend waste.

Touch-based measurement misses up to 60% spend contribution

Budgets keep bleeding into low-lift, bottom of the funnel campaigns causing growth to stall.

CFO-Ready Measurement That You Can Trust

Marketers who switch to causal measurement uncover on average up to 30% more incremental revenue, while cutting CAC by up to 20%

Measure the True Impact of Marketing

Move budget to what creates net‑new revenue; eliminate halo + double‑counting.

Measure the True Impact of Marketing
Stop Paying for Sales You Were Going to Get Anyway

Stop Paying for Sales You Were Going to Get Anyway

Find low‑incremental spend in retargeting, branded search, and lower‑funnel loops; reinvest in net‑new growth.

Take Action Quickly & Easily

Stop settling for slow MMM systems, get fresh actionable insights delivered to you every week.

Take Action Quickly and Easily
Board-Ready Insights, At Your Fingertips

Board-Ready Insights, At Your Fingertips

Get CFO‑ready views of iROAS, marginal returns, and forecasted scenarios that you can trust with confidence

How Causal Measurement Works

Proven unified measurement workflow that combines geo-testing, MMM, and calibrated attribution seamlessly into one platform and trusted framework.

Connect

Sync your ad platforms, CRM, and sales data in minutes – no PII, cookies, or IDs required.

Test

Automated geo-lift experiments run in the background, proving incremental lift.

Model

Weekly MMM fills data gaps, adjusts for seasonality and halo, and keeps ROI curves accurate.

Optimize

Get always-on, campaign-level ROI numbers that reflect true incremental impact, daily.

Proven results that speak for themselves

Sidenstickers

Seidensticker achieves 11.5% higher revenue with 11.7% lower ad spend

11% Higher revenue

11.7 Lower ad spend

obvi logo

How Obvi Proved CTV Drove Walmart Sales

5% Lift in retail sales

95% Confidence in data accuracy

Frequently Asked Questions

 We quantify causal lift (what sales happened because of media) using a disciplined mix of MMM for “whole‑mix” impact, geo‑experiments for ground‑truth lift, and attribution only for ranking tactics – so decisions ladder from evidence, not clicks.

Yes. We typically run geo‑randomized controlled trials (e.g., by DMA) and read sales by region; this avoids identity graphs, respects privacy, and yields iROAS you can take to finance.

MMM is the backbone for cross‑channel budget setting; experiments validate and calibrate it. We use the model → experiment → simulate → implement loop (MESI) so lift evidence feeds back into planning and platform targets.

 Historical sales (and/or conversions), media spend/impressions by channel, price/promo, seasonality, and major external drivers. Regional granularity accelerates lift reads and strengthens the model.

Geo‑lift tests often read in 4–6 weeks (power‑dependent), while the first MMM read is typically a few weeks after data onboarding; both then refresh on an agreed cadence. (We design tests with pre‑registered effect sizes and power so decisions aren’t guesswork.)

Yes. We extend beyond short‑term bursts by combining MMM with brand/market benchmarks and simulation so the plan reflects total value, not just 12‑week sales spikes.