> For the complete documentation index, see [llms.txt](https://docs.dstillery.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.dstillery.com/ds-1-foundations/core-use-cases/analyze-predictive-lift-scores.md).

# Analyze predictive lift scores

Sometimes you don't want to guess which audience will work. DS-1 can run predictive lift analysis and surface the audiences it expects to perform well against, or in relation to, any topic, brand, or URL you give it. Instead of building an audience and hoping, you start from the ones the model already thinks are likely to move the needle.

### Start with the signal

Use the analysis input to focus your research on the audience opportunities that matter.

<figure><img src="/files/mooj0toJqDP9ifRHvPlN" alt="Predictive lift analysis input"><figcaption><p>Enter the topic, brand, or URL you want to evaluate.</p></figcaption></figure>

### Turn insight into action

Review the scored audiences, then use the strongest opportunities to guide your next build.

{% columns %}
{% column %}

#### Review the results

<figure><img src="/files/nWYvSCPkVG9Si1hN5KYN" alt="Predictive lift analysis results"><figcaption><p>Compare audiences against your chosen signal.</p></figcaption></figure>
{% endcolumn %}

{% column %}

#### Choose your next audience

<figure><img src="/files/uGXZMOYJ38Q7Hwcf4z7d" alt="Predictive lift audience selection"><figcaption><p>Use the findings to make a confident audience decision.</p></figcaption></figure>
{% endcolumn %}
{% endcolumns %}

{% hint style="success" %}
**The result:** a more informed audience strategy before you activate.
{% endhint %}