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Facebook Ads CPP by Ad

CPP by Ad represents the (estimated) average cost to reach 1,000 people split up by Ads.

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CPP by Ad 2.190,879 Start tracking this metric
  • About
  • Tech details
What is "CPP by Ad"?
CPP or Cost Per Purchase is a Facebook Ads metric that tracks the amount of money spent on Facebook ads per purchase made through the ad. It is calculated by dividing the total amount spent on an ad campaign by the number of purchases made through that campaign. CPP indicates the effectiveness of a Facebook ad campaign in driving purchases. A lower CPP indicates more efficient ad spend while a higher CPP may indicate that certain parts of the campaign need to be optimized. It is important to track CPP to ensure that each purchase generated by the ad is cost-effective and profitable.
Example: A car company wants to measure the cost per purchase of their Facebook ad campaigns. By using the CPP by Ad metric, they can analyze which ads are performing better and allocate their budget accordingly.

Visualizations

  • Databox visualization

    Bar and Line Chart

    Used to show comparisons between values.

How to track CPP by Ad 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 CPP by Ad using Databox, follow these steps:

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

Basics

  • Description
    CPP by Ad represents the (estimated) average cost to reach 1,000 people split up by Ads.
  • Category
    Advertising
  • Subcategory
    CPP
  • Date Added
    2017-06-12
  • Default Format
    PrefixCurrency
  • Cumulative Support
    No
  • Units
    Yes
  • Granularities
    daily, weekly, monthly, quarterly, yearly, allTime
  • Favorable Trend
    decreasing
  • Historical Data
    Yes
  • Changing historical data
    No
  • Forecast Support
    Yes
  • Benchmark Support
    No
  • Media Support
    Yes
  • Dimension
    Yes
  • Metric Type
    general Learn more
  • API Endpoint
    https://graph.facebook.com/v19.0/{adAccountId}/insights

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