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Pinterest Save Rate by Pin

Save rate by Pin is a metric on Pinterest that indicates the number of times a specific pin has been saved by users. It measures the engagement and popularity of a pin, showing how many users found the content valuable enough to save and possibly share it. A high save rate indicates that the pin is resonating with the audience and driving interest and interaction. It helps marketers understand which pins are most effective at capturing attention and driving traffic to their content or website. Tracking save rate by pin can inform content strategy and help optimize future pinning efforts for maximum reach and engagement.

With Databox you can track all your metrics from various data sources in one place.

Save Rate by Pin 2.190,879 Start tracking this metric
  • About
  • Technical Details
  • Notes
What is "Save Rate by Pin"?
The Save rate by Pin metric measures the percentage of users who save a pin to their boards after seeing it. It indicates the level of interest and engagement with a pin, helping to understand its popularity and relevance to the audience.
Example: If a fashion brand sees a high Save rate on a Pin featuring a new dress collection, they can infer strong interest and push promotions for those items.

Visualizations

  • Databox visualization

    Bar and Line Chart

    Used to show comparisons between values.

How to track Save Rate by Pin in Databox?

Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.

To track Save Rate by Pin using Databox, follow these steps:

  1. 1
    Connect Pinterest that contains the metric you want to track
  2. 2
    Select the metric you want to track from the list of available metrics
  3. 3
    Drag and drop the selected metric onto your dashboard
  4. 4
    Watch your dashboard populate in seconds
  5. 5
    Put Save Rate by Pin on the Performance screen
  6. 6
    Get Save Rate by Pin performance daily with Scorecards or as a weekly digest
  7. 7
    Set Goals to track and improve performance of Save Rate by Pin
Pinterest integration with Databox Track Save Rate by Pin from Pinterest in Databox GET STARTED

General

  • Description
    Save rate by Pin is a metric on Pinterest that indicates the number of times a specific pin has been saved by users. It measures the engagement and popularity of a pin, showing how many users found the content valuable enough to save and possibly share it. A high save rate indicates that the pin is resonating with the audience and driving interest and interaction. It helps marketers understand which pins are most effective at capturing attention and driving traffic to their content or website. Tracking save rate by pin can inform content strategy and help optimize future pinning efforts for maximum reach and engagement.

Specification

  • Metric Type
    general
  • Dimensional
    Yes
  • Maximum Value
    1
  • Decimal Digits
    Yes
  • Currency Units
    No
  • Granularities
    Daily, weekly, monthly, quarterly, yearly and all-time.
  • Custom Relative Periods
    Yes
  • Data Availability
    At sync, it ranges from 90 days ago midnight to now.
  • Retroactive Data Updates
    Newly synced data is merged with existing data, replacing values for matching periods.
  • Future Data Available
    No

Visualization

  • Default Format
    Percentage
  • Cumulative Graph
    Yes
  • Favorable Trend
    increasing
  • Media Creatives
    No
  • Forecasts
    Yes
  • Benchmarks
    No
  • Slower loading times or sync delay errors for dimensional metrics attributed by pin

    Dimensional metrics attributed by pin may experience slower loading times or temporary sync delays because, unlike non-dimensional metrics, they require separate requests for each individual pin, with a fixed rate limit of 55 requests per minute. Accounts with a high number of pins are more likely to encounter syncing issues due to the volume of data being processed. To reduce delays, we recommend minimizing frequent date range changes within a single session, as this can further impact loading performance.

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