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Bid is the amount an advertiser is willing to pay for their LinkedInAds campaign to achieve a desired result such as clicks, impressions, or conversions.

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

  • About
  • Tech details
What is "Bid"?
Bid is a metric used in LinkedIn Ads to determine the maximum amount an advertiser is willing to pay for a click or impression on their ad. It is a key factor in the auction process and, along with relevance, determines the likelihood of an ad being shown. Setting a higher bid can increase the ad's visibility and potentially generate more clicks or impressions. Advertisers can adjust their bids based on performance and optimize their campaigns to achieve better results.
Example: In order to win a bid for a high-value healthcare industry client, the LinkedInAds expert set a competitive bid that was 20% higher than the average industry bid, resulting in increased visibility and engagement.

Visualizations

  • Databox visualization

    Number

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

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

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

Basics

  • Description
    Bid is the amount an advertiser is willing to pay for their LinkedInAds campaign to achieve a desired result such as clicks, impressions, or conversions.
  • Category
    Advertising
  • Date Added
    2017-11-11
  • Default Format
    PrefixCurrency
  • Cumulative Support
    No
  • Units
    Yes
  • Granularities
    daily, weekly, monthly, quarterly, yearly, allTime
  • Favorable Trend
    decreasing
  • Historical Data
    No
  • Changing historical data
    No
  • Forecast Support
    Yes
  • Benchmark Support
    Yes
  • Media Support
    No
  • Dimension
    N/A
  • Metric Type
    current Learn more
  • API Endpoint
    https://api.linkedin.com/rest/adAccounts/{accountId}/adCampaigns

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