For Finance Leaders

Finally see where every ad dollar actually goes — and what it actually returns

Marketing asks for more budget. Finance asks for proof. Nobody has a shared measurement layer. Prescient gives you independent, validated measurement of marketing's contribution to revenue — so both teams can stop arguing and start planning.

Book a demo 30-min call · No commitment
200+ brands
$2.2B+ ad spend measured
93%+ backtest accuracy
SPEND ACCOUNTABILITY

Total ad spend (trailing 90 days)

$1,842,600

Measured revenue contribution

$7,914,180

Blended ROAS

4.29x

Confidence score

94.1%

CHANNEL BREAKDOWN
Meta Ads 5.2x ROAS
Google Ads 3.8x ROAS
TikTok 3.1x ROAS
CTV / Streaming 2.4x ROAS
Independent measurement · Not platform-reported
Updated daily

The problem

Marketing's biggest expense is also its biggest black box

Finance approves millions in ad spend every quarter but can't independently verify what it returns. Platform metrics are self-reported — Meta tells you Meta is working, Google tells you Google is working. Attribution is fragmented across tools. The marketing team shows impressive dashboards, but the numbers don't tie back to the P&L.

The result?

No independent verification

You're trusting the platforms to grade their own homework — and approving budgets based on those grades

Budget requests without evidence

Marketing wants more spend, but the ROI case is built on the same platform data you can't verify

Forecasting in the dark

You can't model marketing's impact on revenue because you don't have reliable inputs to forecast with

The solution

An independent, validated measurement of marketing's actual contribution to revenue

Prescient gives finance what it's never had: a measurement of marketing ROI that isn't sourced from the platforms being measured. Using statistical modeling against your own revenue data, Prescient shows what ad spend actually drives — not what the platforms claim. A shared measurement layer that both marketing and finance can trust.

How it works

How Prescient helps finance leaders

1

Independent measurement, not platform reporting

Prescient's marketing mix model measures marketing impact using statistical modeling, independent of any ad platform's self-reported data. It analyzes the relationship between your spend and your actual revenue over time — so you're not relying on Meta to tell you Meta works.

  • No reliance on pixels, cookies, or platform attribution
  • Uses your revenue data as the ground truth
  • Third-party measurement finance can verify
ROAS COMPARISON
Channel Platform says Prescient says
Meta Ads 6.8x 5.2x
Google Ads 5.4x 3.8x
TikTok 4.1x 3.1x
CTV N/A 2.4x
Blended Inflated 4.29x verified
SPEND-TO-REVENUE FLOW
Total ad spend $614,200
REVENUE CONTRIBUTION
Direct response $1,842,600
Halo effects $795,400
Net revenue impact $2,638,000
Effective ROAS 4.29x
2

Tie ad spend to the P&L

See how marketing spend correlates with actual revenue — not proxy metrics like clicks, impressions, or platform-reported conversions. Prescient shows the full picture: direct response, halo effects across channels, and the net revenue contribution you can tie back to your financial statements.

  • Revenue contribution by channel, not just ROAS
  • Captures halo effects that platform metrics miss
  • Numbers that tie back to the income statement
3

Forecast with confidence

Scenario planning shows what happens to revenue when you increase, decrease, or reallocate marketing spend. Model it before you commit. Test "what if we cut 15% from Meta and shift it to Google?" — and see the projected revenue impact with confidence intervals before the next board meeting.

  • Model budget scenarios before committing spend
  • Revenue projections with confidence intervals
  • Use for quarterly planning, annual budgets, and ad-hoc requests
SCENARIO COMPARISON
CURRENT PLAN Baseline
Monthly spend $614K
Projected revenue $2.64M
SCENARIO A +12% revenue
Shift $80K Meta → Google $614K
Projected revenue $2.96M
SCENARIO B -3% revenue
Cut total spend 15% $522K
Projected revenue $2.56M
Confidence interval ± 6.2%
MODEL ACCURACY
Backtested & validated

93.6%

average backtest accuracy

Q1 revenue prediction 95.2%
Q2 revenue prediction 92.8%
Q3 revenue prediction 93.1%
4

Validated accuracy you can audit

Every Prescient model is backtested against multiple historical periods before deployment. You see the accuracy scores. You can verify the methodology. 93%+ average backtest accuracy across 200+ brands — with transparent scoring that finance teams can actually audit, not a black box that asks you to trust it.

  • Backtest accuracy scores visible in the platform
  • Transparent methodology — not a proprietary black box
  • Models update daily so accuracy stays current

What you get

What finance leaders get from Prescient

Independent audit of marketing ROI

A measurement of marketing's revenue contribution that doesn't come from the platforms being measured. Finally, an independent source you can trust.

Scenario forecasting for budget planning

Model the revenue impact of budget changes before committing. Test reallocation, cuts, and increases with projected outcomes and confidence intervals.

Validated accuracy scores — not black-box outputs

See the backtest accuracy of every model. Know how well predictions matched reality before you act on them. Transparent methodology you can audit.

Shared measurement layer with marketing

End the finger-pointing between finance and marketing. Both teams work from the same validated data, making budget conversations productive instead of adversarial.

Daily updates, not quarterly surprises

Models refresh daily as new data flows in. You see performance shifts in real time — not three months after the spend already happened and the damage is done.

Evidence-based budget allocation

Approve or challenge marketing budget requests with data, not intuition. See which channels are actually earning their spend and which are riding on inflated platform metrics.

Social proof

Trusted by 200+ brands making data-driven decisions

200+

Brands measured

Daily

Model updates

$2.2B+

Ad spend measured

93%+

Average backtest accuracy

“We trust Prescient implicitly with our media strategy. Their insights into measurement and optimization are invaluable, and their dedication to learning our business ensures that every recommendation helps us scale effectively at the top of the funnel.”

Taylor Hastings
Taylor Hastings
Director of Omnichannel Marketing, WSS

“With Prescient's guidance, we implemented MMM to explore and expand into new TOF channels, including podcasts. The daily insights at the campaign level gave us confidence to scale effectively and achieve measurable growth.”

Ian Blair
Ian Blair
CEO, Laundry Sauce

“The support we get from Prescient goes above and beyond. They're not only a resource but a strategic partner who genuinely cares about our success, helping us integrate MMM insights into our workflow smoothly.”

Omar Yassin
Omar Yassin
Head of Data Science, Jack Archer

“Our founder was blown away when I walked him through the platform… It's amazing. So so useful.”

Hans P. Harris
Hans P. Harris
Director of Growth, BrüMate

“There is no other tool out there that can help me validate TV.”

Alex Diesbach
Alex Diesbach
VP of Digital Marketing, Saatva

FAQ

Common questions

Prescient uses marketing mix modeling (MMM) — a statistical approach that measures marketing's contribution to revenue by analyzing the relationship between spend and outcomes over time. Unlike platform-reported metrics (where Meta grades Meta and Google grades Google), MMM is independent of any ad platform. It measures what actually happened to your revenue when spend changed, using your own business data as the foundation.

Yes. Prescient's scenario planning tools let you model the revenue impact of increasing, decreasing, or reallocating marketing spend before committing budget. You can test "what if we cut Meta spend by 20%" or "what happens if we shift $100K from Google to TikTok" and see projected revenue outcomes with confidence intervals. Finance teams use this for quarterly budget planning, annual forecasting, and evaluating ad-hoc budget requests from marketing.

Prescient's models average 93%+ backtest accuracy, meaning the model's predictions of historical revenue closely match what actually happened. Every model is backtested against multiple time periods before deployment, and accuracy scores are transparent and visible in the platform. Models update daily as new data flows in, so accuracy stays current as your business and marketing mix evolve. You can see the numbers yourself — no trust required.

No. Prescient is built for business users, not data scientists. The platform handles data ingestion, statistical modeling, and model validation automatically. Finance teams can access dashboards, run scenario analyses, and review accuracy scores without writing code or managing models. Setup takes 1-2 weeks, and your Customer Success Manager handles onboarding and ongoing support.

Still have questions?

Book a 30-minute call. We'll walk through how Prescient gives finance teams independent measurement of marketing ROI.

Book a demo

Learn more

Go deeper on marketing ROI

200+

Brands measured

Daily

Model updates

$2.2B+

Ad spend measured

1–2 wks

Time to value

Ready to see where every ad dollar goes?

In your demo, we'll show you how Prescient gives finance leaders independent, validated measurement of marketing ROI — and what that looks like for your specific business.

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30-minute call · Custom ROI walkthrough · No commitment required