LinkedIn Fetch Media Plan API

Media Planning API can help Media Planners understand the reach and ROI that LinkedIn can offer to their client. It allows them to make budget allocation recommendations with confidence and know how to improve the results, even before spending the first dollar. Media Planning API helps Media Planners make that decision by giving the forecasted reach, impressions (and more in future, like clicks, leads) curve over the budget, based on inputs provided like targeted audience, campaign start/end date and more.

Operations 1

Each operation below carries the questions people ask an LLM about it and the instructions they give an agent to run it. Generated by API Evangelist overlay

POST /mediaPlanning Forecast average lifetime ad frequency · LinkedIn Forecast Avg Lifetime Frequency #
Ask an LLM
“How often would each member see my ads over a campaign's life?”
“Can I forecast frequency before committing a media plan?”
Tell an agent
Forecast average lifetime frequency using action {action}.
Estimate how many times members will see my planned campaign.

Documentation

📖
Documentation
https://learn.microsoft.com/en-us/linkedin/marketing/
📖
GettingStarted
https://learn.microsoft.com/en-us/linkedin/marketing/getting-started
📖
Documentation
https://learn.microsoft.com/en-us/linkedin/learning/
📖
GettingStarted
https://learn.microsoft.com/en-us/linkedin/learning/getting-started
📖
Documentation
https://learn.microsoft.com/en-us/linkedin/learning/getting-started/terminology
📖
Documentation
https://learn.microsoft.com/en-us/linkedin/learning/integrations/xapi
📖
APIReference
https://learn.microsoft.com/en-us/linkedin/learning/reporting/reporting-docs/reporting-api
📖
Documentation
https://learn.microsoft.com/en-us/linkedin/talent/
📖
GettingStarted
https://learn.microsoft.com/en-us/linkedin/talent/getting-started
📖
Documentation
https://learn.microsoft.com/en-us/linkedin/talent/versioning
📖
Documentation
https://learn.microsoft.com/en-us/linkedin/compliance/
📖
GettingStarted
https://learn.microsoft.com/en-us/linkedin/compliance/getting-started
📖
Documentation
https://learn.microsoft.com/en-us/linkedin/compliance/compliance-api/overview
📖
Documentation
https://learn.microsoft.com/en-us/linkedin/sales/
📖
APIReference
https://learn.microsoft.com/en-us/linkedin/sales/display-services/
📖
APIReference
https://learn.microsoft.com/en-us/linkedin/sales/analytics-services/
📖
APIReference
https://learn.microsoft.com/en-us/linkedin/sales/sync-services/
📖
Documentation
https://learn.microsoft.com/en-us/linkedin/dma/
📖
Documentation
https://learn.microsoft.com/en-us/linkedin/dma/member-data-portability/
📖
Documentation
https://learn.microsoft.com/en-us/linkedin/dma/pages-data-portability-overview
📖
Documentation
https://learn.microsoft.com/en-us/linkedin/dma/transparency/advertiser-transparency

Specifications

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OpenAPI Specification

linkedin-fetch-media-plan-api-openapi.yml Raw ↑
openapi: 3.2.0
info:
  title: Media Planning Fetch Media Plan API
  description: '## Overview


    Media Planning API can help Media Planners understand the reach and ROI that LinkedIn can offer to their client.'
  version: 1.0.0
servers:
- url: https://api.linkedin.com
  description: LinkedIn Marketing API Production Server
tags:
- name: Fetch Media Plan
  description: Media Planning API can help Media Planners understand the reach and ROI that LinkedIn can offer to their client.
paths:
  /mediaPlanning:
    post:
      tags:
      - Fetch Media Plan
      summary: LinkedIn Forecast Avg Lifetime Frequency
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/ForecastAvgLifetimeFrequencyRequest'
      parameters:
      - name: Authorization
        in: header
        schema:
          type: string
        example: Bearer {{Access_Token}}
      - name: X-RestLi-Protocol-Version
        in: header
        schema:
          type: string
        example: 2.0.0
      - name: Linkedin-Version
        in: header
        schema:
          type: string
        example: '{{insert_version}}'
      - name: action
        in: query
        schema:
          type: string
        example: forecastImpressions
      responses:
        undefined:
          content:
            text/plain:
              examples:
                default:
                  $ref: '#/components/examples/ForecastAvgLifetimeFrequencyResponseundefinedExample'
              schema:
                $ref: '#/components/schemas/ForecastAvgLifetimeFrequencyResponseundefined'
      operationId: postForecastAvgLifetimeFrequency
      x-microcks-operation:
        dispatcher: FALLBACK
        dispatcherRules: '{}'
        delay: 0
components:
  schemas:
    ForecastAvgLifetimeFrequencyRequest:
      type: object
      example:
        request:
          sponsoredAccountUrn: urn:li:sponsoredAccount:{{sponsoredaccount_id}}
          targetingCriteria:
            include:
              and:
              - or:
                  urn:li:adTargetingFacet:ageRanges:
                  - urn:li:ageRange:(18,24)
              - or:
                  urn:li:adTargetingFacet:locations:
                  - urn:li:geo:103644278
          targetBudgetMicros: 300000000
          optimizationType: MAX_REACH
          objectiveType: BRAND_AWARENESS
          enableAudienceExpansion: true
          enableAudienceNetwork: true
          startDateOn:
            day: 1
            month: 4
            year: 2024
          endDateOn:
            day: 1
            month: 5
            year: 2024
    ForecastAvgLifetimeFrequencyResponseundefined:
      type: string
  examples:
    ForecastAvgLifetimeFrequencyResponseundefinedExample:
      summary: Example undefined response for ForecastAvgLifetimeFrequency
      value: "{\n    \"value\": {\n        \"averageFrequency\": {\n            \"metricCurve\": [],\n            \"singlePointMetric\": {\n                \"metricValue\": 1.8164758594903745,\n                \"budgetMicros\": 300000000\n            }\n        },\n        \"impressionCurve\": {\n            \"metricCurve\": [\n                {\n                    \"metricUpper\": 41043.86773686674,\n                    \"metricValue\": 34203.22265625,\n                    \"budgetMicros\": 100000000,\n                    \"metricLower\": 27362.57781168749\n                },\n                {\n                    \"metricUpper\": 44137.06060459373,\n                    \"metricValue\": 36780.8828125,\n                    \"budgetMicros\": 108898986,\n                    \"metricLower\": 29424.706338958636\n                },\n                {\n                    \"metricUpper\": 47193.100333790324,\n                    \"metricValue\": 39327.58203125,\n                    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