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Facebook Ads Purchase ROAS (Return on Ad Spend)

Purchase ROAS is a metric that helps measure the effectiveness of Facebook Ads campaigns based on the revenue generated compared to the money spent on the ads. It is calculated by dividing the revenue generated by the amount spent on the campaign. A high Purchase ROAS indicates a profitable campaign.

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

Purchase ROAS (Return on Ad Spend) 2.190,879 Start tracking this metric
  • About
  • Tech details
What is "Purchase ROAS (Return on Ad Spend)"?
Purchase ROAS is a performance measurement metric used in Facebook advertising campaigns that calculates how much revenue a business generates for every dollar spent on ads. This metric is calculated by dividing the total revenue generated from purchases by the amount of money spent on ads. A high ROAS indicates that the campaign is generating more revenue than it costs, while a low ROAS indicates that the ads are not generating enough return on investment. By measuring Purchase ROAS, advertisers can optimize their ad spend to maximize revenue and profit.
Example: A company running a Facebook Ads campaign to sell a new product can use the Purchase ROAS metric to measure the revenue generated from ad spend during a specific time period, allowing them to adjust their strategy and optimize future spending.
This metric has one or more equivalents:

Visualizations

  • Databox visualization

    Number

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

How to track Purchase ROAS (Return on Ad Spend) 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 Purchase ROAS (Return on Ad Spend) 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 Purchase ROAS (Return on Ad Spend) on the Performance screen
  6. 6
    Get Purchase ROAS (Return on Ad Spend) performance daily with Scorecards or as a weekly digest
  7. 7
    Set Goals to track and improve performance of Purchase ROAS (Return on Ad Spend)
Facebook Ads integration with Databox Track Purchase ROAS (Return on Ad Spend) from Facebook Ads in Databox GET STARTED

Facebook Ads Purchase ROAS (Return on Ad Spend) included in Dashboard Templates 2

  • Live view

    Video Marketing for Awareness & Conversions

    Use this free dashboard template to track how awareness video is leading to branded and high-intent searches, track your Facebook ads and Google Ads performance and return on your ad spend.

    Facebook Ads Google Ads Facebook Pages
  • Live view

    Facebook Ads Conversions Overview

    Facebook Ads: Account Overview. View metrics: spend, clicks, impressions, add to cart, purchases value, roars, average cpc, cost/conversion, ctr

    Facebook Ads

Facebook Ads Purchase ROAS (Return on Ad Spend) included in Report Templates 2

  • Details

    Facebook Ads Advanced Report Template

    Use this Facebook Ads advanced report to share high-level and in-depth metrics of your Facebook Ads performance. Present an overview of key metrics like Impressions, CPC, Cost per Lead, ROAS, and more.

    Facebook Ads
  • Details

    Facebook Ads Report Template

    Use this Facebook Ads report to share insights into important metrics like spend, impressions, engagement, ROI, and more.

    Facebook Ads

Basics

  • Description
    Purchase ROAS is a metric that helps measure the effectiveness of Facebook Ads campaigns based on the revenue generated compared to the money spent on the ads. It is calculated by dividing the revenue generated by the amount spent on the campaign. A high Purchase ROAS indicates a profitable campaign.
  • Category
    Advertising
  • Subcategory
    ROAS
  • Date Added
    2017-06-12
  • Cumulative Support
    No
  • Units
    No
  • Granularities
    daily, weekly, monthly, quarterly, yearly, allTime
  • 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://graph.facebook.com/v19.0/{adAccountId}/insights

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