Top Overlay Bottom Overlay
Client Results

Proof that smarter media
allocation changes everything.

Real models. Real clients. Real reallocation gains — without adding a dollar to the budget.

Financial Services

Same Budget.
745 More Accounts.

A regional bank over-invested in direct mail for four years. MMM revealed the real opportunity.

+745 More deposit
accounts
4.87x ROAS via
reallocation
0.19x DM ROAS
for 4 years

Channel ROAS — What the Model Found

DM Digital Add-On
31.2x
Google Brand
8.3x
PMAX
2.0x
Consumer DM
0.19x

6 Scenarios Modeled — Same Budget

Scenario ROAS Accounts
50% DM cut + TV & OOH 4.69x 1,826
Current Plan 2.96x 1,379
Macro signal: delinquency drives deposits

Rising credit card delinquency correlates positively with deposit sales — Bank's checking account open consumer cash incentives are most compelling when consumers feel financial pressure.

D2C — Pet / Consumer

46% More Units.
Zero Extra Spend.

A D2C pet GPS supplier overfunded influencer marketing by 12x. MMM showed where the real lift was hiding.

+46% Unit lift from
optimization
90.3% Model R²
fit accuracy
12x Influencer
overspend
Influencer: 45.7% of budget, 9.4% of lift

Affluencer received the largest share of spend — yet Direct Mail (at just 2% of budget) drove 33.6% of incremental lift. The inversion was dramatic.

Economy accounts for 79% of sales variance

Only 20.7% of total unit sales were attributable to media. Macro conditions dominate — making channel efficiency even more critical.

CTV: 34-day adstock half-life

CTV's long persistence (34 days) and Google's (23 days) support a pulse/flighting strategy — concentrating spend in bursts delivers equivalent reach at lower cost.

Optimized Channel Mix — $20K Daily Budget

Direct Mail
↑1177%
Twitter / X
↑531%
Reddit
↑233%
Influencer
↓75%
Google
↓76%

Ready to see your own numbers?

Every model is trained on your data. Your channels. Your market conditions.

Get In Touch