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CPE (Cost Per Engagement) is a metric that measures the cost an advertiser pays for each viewer interaction with their ad, such as clicks, likes, shares, or comments on Pinterest.

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

  • About
  • Tech details
What is "CPE"?
Cost Per Engagement (CPE) is a metric used in Pinterest Ads to measure the cost incurred for each engagement (such as clicks, close-ups, or saves) on a promoted pin. It is calculated by dividing the total cost of the ad campaign by the total number of engagements generated. CPE helps advertisers understand the effectiveness of their Pinterest campaigns and optimize their targeting and creative elements to drive better engagement at a lower cost.
Example: In a Pinterest Ads campaign promoting a beauty brand, the Cost Per Engagement (CPE) metric is used to track the cost incurred for each user interacting with a promoted makeup tutorial Pin.

Visualizations

  • Databox visualization

    Number

    Used to show a simple Metric or to draw attention to one key number.

How to track CPE 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 CPE using Databox, follow these steps:

  1. 1
    Connect Pinterest Ads 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 CPE on the Performance screen
  6. 6
    Get CPE performance daily with Scorecards or as a weekly digest
  7. 7
    Set Goals to track and improve performance of CPE
Pinterest Ads integration with Databox Track CPE from Pinterest Ads in Databox GET STARTED

Basics

  • Description
    CPE (Cost Per Engagement) is a metric that measures the cost an advertiser pays for each viewer interaction with their ad, such as clicks, likes, shares, or comments on Pinterest.
  • Default Format
    PrefixCurrency
  • Cumulative Support
    Yes
  • Units
    Yes
  • Granularities
    hourly, daily, weekly, monthly
  • Favorable Trend
    increasing
  • Historical Data
    Yes
  • Changing historical data
    No
  • Forecast Support
    Yes
  • Benchmark Support
    Yes
  • Media Support
    No
  • Dimension
    N/A
  • Metric Type
    general Learn more
  • API Endpoint
    https://api.pinterest.com/v5/ad_accounts/{adAccountId}/reports

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