Signal Analytics · Signal Media
Run media planning signals.
Select a company, enter the working media budget and your current channel split. Signal Media compares the plan against the recommended category and sub-channel splits, then states the move worth making.
Set up the media plan
Start with a company. The recommended plan appears first, then enter your own, up to a total of 100%.
The move worth making
The largest gap between your split and the recommended channel mix, weighted by ROI proxy.
Recommended split by channel
Generated from marginal ROI, saturation and confidence inputs.
| Channel | Recommended % | ROI proxy (£ per £1) |
|---|
Your plan against the recommendation
Category rows with sub-channel expansion, spend and weighted ROI proxy.
| Channel | Your % | Recommended % | ROI proxy | Spend (£) | Weighted ROI |
|---|---|---|---|---|---|
| Total | - | - | - | - |
The recommended split, expanded
Search, YouTube, Retail Media, TikTok, Meta, CTV and the rest, ranked by sub-channel ROI proxy.
| Channel group | Sub-channel | Recommended % | Recommended spend | Sub-channel ROI proxy |
|---|
Channel ROI benchmarks
Planning values by company. Source proxies for comparison, not commercial price recommendations.
How this model works
The call is stated first. The workings are here.
Recommendation logic
The recommended channel split is weighted using marginal ROI, lower saturation and confidence. Sub-channel splits use fixed media planning defaults from the source file, and the ROI proxy is multiplied by the sub-channel adjustment factor.
Important caveat
This is a planning layer, not a live econometric model. It is useful for comparative decisions, consistency and prioritisation.
Signal Media · planning proxies for comparative CPG media decisions.