{
  "opencollection": "1.0.0",
  "info": {
    "name": "Litmus Email Analytics API",
    "version": "1.0.0"
  },
  "request": {
    "auth": {
      "type": "basic",
      "username": "{{username}}",
      "password": "{{password}}"
    }
  },
  "items": [
    {
      "info": {
        "name": "Analytics",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Litmus Get campaign engagement summary",
            "type": "http"
          },
          "http": {
            "method": "GET",
            "url": "https://analytics-api.litmus.com/api/v1/campaigns/:campaignGuid/summary",
            "params": [
              {
                "name": "campaignGuid",
                "value": "",
                "type": "path",
                "description": "Unique identifier (GUID) for the email campaign"
              }
            ]
          },
          "docs": "Returns a high-level engagement summary for the campaign including total opens, unique opens, read time distribution, deletion rate, forwarding count, and print count. Provides the core metrics for evaluating campaign performance."
        },
        {
          "info": {
            "name": "Litmus Get campaign email client breakdown",
            "type": "http"
          },
          "http": {
            "method": "GET",
            "url": "https://analytics-api.litmus.com/api/v1/campaigns/:campaignGuid/clients",
            "params": [
              {
                "name": "campaignGuid",
                "value": "",
                "type": "path",
                "description": "Unique identifier (GUID) for the email campaign"
              }
            ]
          },
          "docs": "Returns a breakdown of campaign opens by email client, showing the count and percentage of opens recorded from each detected email client such as Gmail, Apple Mail, Outlook, and others."
        },
        {
          "info": {
            "name": "Litmus Get campaign geographic breakdown",
            "type": "http"
          },
          "http": {
            "method": "GET",
            "url": "https://analytics-api.litmus.com/api/v1/campaigns/:campaignGuid/geo",
            "params": [
              {
                "name": "campaignGuid",
                "value": "",
                "type": "path",
                "description": "Unique identifier (GUID) for the email campaign"
              }
            ]
          },
          "docs": "Returns a geographic breakdown of campaign opens by country and region. Each entry includes the country name, ISO country code, open count, and percentage share of total opens."
        },
        {
          "info": {
            "name": "Litmus Get campaign device breakdown",
            "type": "http"
          },
          "http": {
            "method": "GET",
            "url": "https://analytics-api.litmus.com/api/v1/campaigns/:campaignGuid/devices",
            "params": [
              {
                "name": "campaignGuid",
                "value": "",
                "type": "path",
                "description": "Unique identifier (GUID) for the email campaign"
              }
            ]
          },
          "docs": "Returns a breakdown of campaign opens by device type including desktop, mobile, and tablet. Shows the count and percentage of opens for each device category."
        },
        {
          "info": {
            "name": "Litmus Get campaign read time distribution",
            "type": "http"
          },
          "http": {
            "method": "GET",
            "url": "https://analytics-api.litmus.com/api/v1/campaigns/:campaignGuid/read-times",
            "params": [
              {
                "name": "campaignGuid",
                "value": "",
                "type": "path",
                "description": "Unique identifier (GUID) for the email campaign"
              }
            ]
          },
          "docs": "Returns the distribution of how long recipients spent reading the email. Categorizes reads into glanced (under 2 seconds), skimmed (2-8 seconds), and read (over 8 seconds) buckets with counts and percentages."
        }
      ]
    }
  ],
  "bundled": true
}