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

# Meta Saves: Measure Bookmark Interest

> Track how many people saved your Meta ads for later viewing. Saves indicate strong product interest and future purchase intent.

<Tip>
  Measures how many times people bookmarked your Meta ad to revisit later.
</Tip>

## Formula

<Info>
  **Meta Saves** = **COUNT** ( Saves )
</Info>

### Formula Components

| Metric    | Definition                                                  |
| --------- | ----------------------------------------------------------- |
| **Saves** | Each tap of the bookmark icon on your ad counts as one save |

| Metadata        |                                   |
| --------------- | --------------------------------- |
| **Type**        | Number                            |
| **Data Source** | [Meta Ads](/sources/facebook-ads) |
| **Aggregation** | Sum                               |

***

## Example

Your new product launch campaign generated **523 saves** on Instagram and Facebook last week.

| Ad Creative               | Saves | Est. Return Rate |
| ------------------------- | ----- | ---------------- |
| Product lifestyle video   | 218   | \~12%            |
| Limited-time offer static | 189   | \~8%             |
| Product feature carousel  | 116   | \~6%             |

The lifestyle video earned the most saves, suggesting viewers plan to return and purchase later. Consider retargeting users who saved but haven't converted.

***

## How It Works

When someone saves your ad, they're bookmarking it for future reference—often because they're interested but not ready to buy. Meta tracks saves across Facebook and Instagram, including posts saved to Collections. High save counts indicate strong product interest and potential future conversions, making savers ideal candidates for retargeting campaigns.

***

## When to Use

| Scenario                          | Action                                                |
| --------------------------------- | ----------------------------------------------------- |
| Identifying high-intent audiences | Build retargeting segments from users who saved       |
| Evaluating creative appeal        | Compare save counts to find ads with lasting interest |
| Measuring consideration intent    | High saves signal people researching before buying    |
| Optimizing for future conversions | Prioritize creatives that drive saves for remarketing |

***

## Related Metrics

| Metric                                                                                       | Relationship                                                |
| -------------------------------------------------------------------------------------------- | ----------------------------------------------------------- |
| [Meta Cost per Save](/reference/metrics/advertising/meta/meta-engagement/meta-cost-per-save) | How much you pay per save action                            |
| [Meta Engagements](/reference/metrics/advertising/meta/meta-engagement/meta-engagements)     | Total interactions including saves, likes, comments, shares |

[See all Meta Engagement metrics →](/reference/metrics/advertising/meta/meta-engagement)