> For the complete documentation index, see [llms.txt](https://support.sayprimer.com/primer/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://support.sayprimer.com/primer/audiences/conversion-lift.md).

# Conversion lift

What lift measures on a conversion report — conversions among people exposed to your ads vs. those not exposed, and when it's significant.

**Lift** on your [conversion metrics](/primer/audiences/conversion-metrics.md) measures whether people who saw your ads convert at a higher rate than people who didn't. It's computed separately for the two funnel stages — **pageviews** and **leads** (form fills).

## What lift compares

Lift compares two groups for the same audience over the report's [attribution window](/primer/audiences/conversion-metrics.md#attribution-window):

* **Exposed conversions** — conversions among people who were exposed to your ads.
* **Not-exposed conversions** — conversions among people who were not.

If the exposed group converts more, you have positive lift: the ads are associated with more conversions than you'd see without them.

## Is the lift significant?

Alongside the lift figure Primer reports a **p-value** — a measure of statistical significance. A small p-value means the difference between the exposed and not-exposed groups is unlikely to be chance; a large one means you don't yet have enough data to trust the result. Treat lift with a high p-value as directional, not conclusive, and let the audience run longer to gather more conversions.

## How lift is displayed

The display depends on whether there's a not-exposed group to compare against:

* When there **are** not-exposed conversions, lift is shown as the **ratio** of exposed to not-exposed conversions.
* When there are **none**, Primer falls back to a **per-100k** normalized value instead of a ratio (you can't divide by zero).

Either way, a higher number means the exposed group converted more.


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