> ## 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.

# Subscription acquisition

> Will a one-off donor start giving regularly?

Predicts which one-off donors are most ready to commit to a recurring gift — so conversion asks focus on the best prospects.

**What it predicts** — For supporters not currently on a recurring mandate, the probability they start a new subscription (regular gift) in the next window.

**Who it scores** — Non-subscribers: anyone without an active recurring mandate today (optionally narrowed to recently-active contacts).

**The decision it drives** — Target regular-giving conversion asks at the one-off donors most ready to commit, instead of blanketing the whole base.

**Worked example** — Ahead of a regular-giving push, the model ranks cash donors by conversion likelihood. The campaign focuses on the top tier and lifts sign-ups per contact versus an untargeted send.

**What good looks like** — More new regular givers per contact asked — and each one is worth far more over time than a single gift.

<Tip>
  **Pairs well with [Subscription churn](/models/subscription-churn)** — protect them once they've joined.
</Tip>

<CardGroup cols={2}>
  <Card title="All models" icon="table-cells" href="/models/what-allyy-can-predict">
    Back to the full catalogue.
  </Card>

  <Card title="Create & train a model" icon="wrench" href="/processes/model">
    Set one up on your own data.
  </Card>
</CardGroup>
