> ## Documentation Index
> Fetch the complete documentation index at: https://docs.allyy.io/llms.txt
> Use this file to discover all available pages before exploring further.

# DM expected amount

> How much will this mailing raise from this supporter?

Predicts the gift value attached to a mailing — so you can target on expected revenue and forecast income before a campaign goes out.

**What it predicts** — The euro value of the gift attached to a mailing. It can be trained on responders only (a conditional "if they give, how much?") or across the whole list.

**Who it scores** — The mailing universe, alongside [DM propensity](https://docs.allyy.io/models/dm-propensity.md).

**The decision it drives** — Target on **expected revenue** (likelihood × value) rather than likelihood alone, and forecast what a campaign will raise before it goes out.

**Worked example** — Two supporters are equally likely to respond, but one typically gives €15 and the other €120. Ranking on expected value pushes the higher-value supporter up the list and shapes which segment gets the higher ask.

**What good looks like** — Higher income per pack mailed and a credible pre-campaign income forecast.

> [!TIP]
>
> **Pairs well with [DM propensity](https://docs.allyy.io/models/dm-propensity.md)** — multiply likelihood by value to rank on expected income.

> [card] [All models](https://docs.allyy.io/models/what-allyy-can-predict.md)
>
> Back to the full catalogue.

> [card] [Create & train a model](https://docs.allyy.io/processes/model.md)
>
> Set one up on your own data.


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