Question 1

My CMO marketing dashboards show healthy ROAS. Why isn't that enough?

Accepted Answer

Platform dashboards are self-reported; every platform claims the conversion. Without an independent model, you're optimizing on fiction, often 2–3× overstated. Our CMO marketing analytics platform measures what actually drove revenue using causal models and incrementality experiments, so the number you walk into a budget meeting with is one your CFO can challenge without breaking it.

Question 2

How is this different from what my ad platforms report?

Accepted Answer

Ad platforms report what happened inside their platform, not whether it drove incremental business outcomes. A CTR spike might reflect better creative, a weaker competitive week, or halo lift from your brand campaign. Our platform measures across all channels simultaneously using your actual revenue data, giving you a single source of truth that no individual platform has an incentive to provide.

Question 3

How can I defend brand investment to my CFO?

Accepted Answer

Yes, and this is one of the platform's most specific differentiators in CMO marketing measurement. The model quantifies brand equity in net present value terms that Finance can validate, including halo lift in branded search, ad stock carryover, and long-term multipliers calibrated to your product category and brand lifecycle. Brand investment gets the same financial defensibility as performance spend for the same output before the budget meeting starts.

Question 4

Do I need an internal data science team?

Accepted Answer

No. Our marketing scientists handle model configuration, calibration, and interpretation. Your team needs a primary outcome KPI, channel-level spend data, and a promo calendar. The platform delivers boardroom-ready scenarios and reallocation recommendations that your media buyers can execute and your CFO can approve, without requiring internal modeling capabilities to operate it.

Question 5

How long before I see results?

Accepted Answer

The first model outputs arrive within 2–3 weeks of the data connection. The model sharpens significantly over the first 90 days as it ingests historical spend data and any existing incrementality test results. Most clients identify their first reallocation opportunity and run their first constraint-aware scenario within the first planning cycle.

Question 6

What data do we need to get started?

Accepted Answer

Minimum: 12–24 months of weekly spend by channel, one primary outcome KPI—revenue, orders, or profit, and a promotional calendar. Offline data, pricing signals, and brand health scores sharpen the model but are not required to start. If you're unsure whether your data qualifies, a 15-minute readiness call with our Marketing Science team will confirm within the week.

Question 7

Our analytics team wants to build this in-house. How does this compare?

Accepted Answer

The platform doesn't replace your analytics team; it handles the infrastructure layer (data pipelines, model maintenance, calibration, validation) that typically consumes 60–70% of internal analytics capacity before any business question gets answered. Your team uses these outputs as a validated foundation and focuses its expertise on the questions only it can answer: experiment design, proprietary variable modeling, and business-specific interpretation. Most clients find that this setup accelerates the analytics team's strategic contribution rather than displacing it.

Question 8

Our media mix changes every quarter. How does a historical model stay relevant?

Accepted Answer

The Agile MMM is designed for dynamic media environments. The model runs on a continuous weekly loop, ingesting new spend and revenue data as it arrives, so it reflects your current mix, not last year's. For new channels with limited history, Bayesian priors informed by cross-client data provide a starting baseline that sharpens as channel-specific data accumulates. You don't need 24 months of new channel history to get a directionally useful estimate.

Question 9

How do I get my CFO to trust a model they didn't commission?

Accepted Answer

The platform is designed to be CFO-auditable by default. Methodology documentation, model validation outputs, and incrementality test calibration are all shareable artifacts rather than proprietary black boxes. Most clients schedule a 30-minute methodology session with their CFO or VP Finance early in the engagement. When the CFO sees how the model is built, validated, and updated, and sees that it is free of platform bias, the conversation shifts from 'do I trust this?' to 'what does it recommend?'

Question 10

How is this different from what our agency's measurement team provides?

Accepted Answer

Your media agency measures what happens within the channels it manages. Our platform measures across all channels simultaneously, including channels the agency doesn't touch, using your actual business outcome data, free of any channel bias. An agency measurement report answers 'Did our channels perform?' We answer 'what actually drove your revenue?' and include the impact of channels the agency has no incentive to credit.

Capability	Recast	Measured	Haus
Full-funnel brand + performance MMM	Partial	Partial	Partial
Daily ad-platform signal detection			Partial*
Incremental test calibration
Diminishing returns & marginal ROI curves		Partial	Partial
Brand equity on P&L quantification
Constraint-aware scenario planning	Partial	Partial	Partial
CFO-ready boardroom reporting		Partial
Weekly optimization cadence (not quarterly)			Partial*

The Budget Conversation Ends Here.

Stop Walking into Finance Reviews Armed with Platform Data. Start Walking in with Proof.

Trusted by the Category Leaders Who've Outgrown Their Dashboards

Marketing leaders today are asked to prove more with less, but the measurement tools haven't kept pace.

Platform ROAS is self-reported and inflated.

Brand investment can't find its voice in the P&L

By the time the quarterly MMM report lands, the campaign is over.

No defensible budget narrative for the board

You're over-invested in your best channel and don't know it yet.

From Signal to Strategy, in a Continuous Weekly Loop

Integrate - One foundation. No platform bias

Model - What's driving revenue, not what the platforms claim

Plan - The scenario your CFO can approve before a dollar moves

Experiment - Causal proof that closes the loop and eliminates the attribution argument

Every Tool a CMO Needs to Lead the Budget Conversation

Full-Funnel Budget Planning

Diminishing Returns & Marginal ROI Optimization

Incrementality & Calibration

Scenario Planning & Forecasting

Real-Time Budget Optimization

Long-Term Brand Value Measurement

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Frequently Asked Questions