These are the estimated results from a fixed budget scenario with a channel-level spend constraint of -50% to +100% of the non-optimized spend. The non-optimized spend for each channel is equal to the historical spend during the period from 2023-09-01 to 2025-09-01.
You can see the channel-level budget shifts and the performance lift after optimization.
Optimized budget allocation
| Channel | Non-optimized spend | Optimized spend |
|---|---|---|
| azteca | 37% | 37% |
| 27% | 13% | |
| dv360 | 11% | 12% |
| amazon | 9% | 10% |
| promoespacio | 5% | 7% |
| acast | 3% | 5% |
| decidata | 1% | 3% |
| trebel | 2% | 3% |
| economista | 1% | 3% |
| epl | 1% | 3% |
| arkeero | 1% | 3% |
| tiktok | 1% | 1% |
| admazing | 1% | 1% |
| meta | 1% | 1% |
| ctv | 0% | 0% |
| richmedia | 0% | 0% |
| universal | 0% | 0% |
These response curves depict the relationship between marketing spend and the resulting incremental revenue and show the optimal spend amount for each channel that maximizes the total incremental revenue while staying within the channel-level spend constraints.