Compare
How ADmetric AI compares — honestly.
Most teams already run something. Here is how a purpose-built advertising budget management platform stacks up against the three patterns we see most often.
| Capability | ADmetric AI | Spreadsheets | Funnel.io / BI | In-house build |
|---|---|---|---|---|
| Unified balance across 5 platforms | Yes | No | No | Partial |
| One invoice for all advertising | Yes | No | No | No |
| Real-time pacing alerts | Yes | No | Partial | Partial |
| AI Copilot recommendations | Yes | No | No | Partial |
| Forecast with confidence bands | Yes | Partial | Partial | Partial |
| Anomaly & fraud detection | Yes | No | Partial | Partial |
| Segregated client funds (EMI) | Yes | No | No | No |
| Cryptographic audit ledger | Yes | No | No | Partial |
| Role-based access & SSO | Yes | Partial | Yes | Partial |
| GDPR DPA, SOC 2 in progress | Yes | No | Yes | Partial |
| Time to first value ADmetric AI: under a day. In-house: 6-12 months. | Yes | No | Partial | No |
| Total cost of ownership | Yes | Partial | No | No |
Spreadsheets
Free, flexible, owned by one person. Break the moment that person takes annual leave. Zero audit trail.
Funnel.io / BI
Excellent at reporting on what already happened. They are read tools — they don't pace, allocate, top-up or invoice.
In-house build
Possible for large agencies. Typically a 6-12 month investment, then a permanent engineering team to keep five platform APIs alive.
See it on your numbers.
Run the ROI calculator with your real spend and pacing variance.