Three-year study
The Total Economic Impact of ADmetric AI.
Independent three-year financial modelling of pacing, FX, rebate and operations savings — quantified on a composite organisation running $25M of annual paid media.
Three-year ROI
312%
Risk-adjusted, composite organisation
Payback period
<4 months
From go-live to break-even
Net present value
$4.81M
10% discount rate, three years
Total benefits
$6.42M
Across pacing, FX, fees, ops
Benefit breakdown
Where the $6.42M comes from
$2.18M
Pacing accuracy
Eliminating end-of-period over-spend and under-spend on a $25M annual budget. Modelled on observed pacing MAPE drop from 9.1% to 2.1%.
$0.94M
FX leakage recovered
Cross-currency settlement losses surfaced and reclaimed via FX leak detector and currency-of-record automation.
$1.36M
Negotiated rebates captured
Volume rebate utilisation tracked daily, reducing leftover commit at year-end. Includes Meta, Google and TikTok schemes.
$1.94M
Reconciliation & audit hours
FP&A and accounting hours redirected from monthly close to higher-leverage work. 78% reduction in audit prep time.
Methodology
Assumptions, in the open
- Composite organisation: 2,400 employees, $25M annual paid-media spend across 5 platforms.
- Modelled on interviews with 7 ADmetric AI customers across DTC, marketplace and agency segments.
- Costs include subscription, implementation, internal change management, and integration maintenance.
- Risk-adjusted using a 15% downside for behavioural variance and platform API changes.
- Methodology approved by the customer advisory board; raw model available on request.
Model your own number
Plug your own spend, platform mix and FP&A loaded cost into the live ROI calculator. Output: a one-page board memo your CFO can sign off on.