---
title: "Get attribution metrics"
method: GET
path: "/v1/messaging/accounts/{accountId}/conversion-destinations/{destinationId}/metrics"
tags: ["Conversions"]
---

# Get attribution metrics

`GET /v1/messaging/accounts/{accountId}/conversion-destinations/{destinationId}/metrics`

## Request

- Base URL: `https://apihub.co.il`
- URL: `https://apihub.co.il/v1/messaging/accounts/{accountId}/conversion-destinations/{destinationId}/metrics`
- Auth: HTTP bearer

Shows a LinkedIn conversion rule's attributed conversions, value, leads and cost over time.

LinkedIn-only today. Returns conversion-attribution metrics
(`externalWebsiteConversions`, `externalWebsitePostClickConversions`,
`externalWebsitePostViewConversions`, `conversionValueInLocalCurrency`,
`qualifiedLeads`, `costInLocalCurrency`) bucketed by date.

Date-range constraints (passed through from LinkedIn):
- `granularity=DAILY` is retained for ~6 months only
- `granularity=ALL` with a range > 6 months auto-rounds to month boundaries
- `granularity=MONTHLY`/`YEARLY` retains 24 months

Throttle: LinkedIn caps adAnalytics at 45M metric values per 5-minute
window across the calling token. Single-rule queries are well within
that limit; surfaces as 429 if hit.


**Billing:** Read (free unless it says otherwise) · **Rate limit:** 120/min

## Path parameters

- `accountId` string, required
- `destinationId` string, required

## Query parameters

- `endDate` string
- `startDate` string, required
- `adAccountId` string, required
- `granularity` 'ALL' | 'DAILY' | 'MONTHLY' | 'YEARLY'

## Headers

- `Idempotency-Key` string
- `X-Tag` string

## Response `200`

Completed

- object
  - `id` string: Execution id — stable across internal retries; use it with GET /v1/executions/{id}
  - `status` 'pending' | 'processing' | 'completed' | 'partial' | 'failed' | 'cancelled' | 'timeout'
  - `operation` string
  - `tag` string, nullable: Your X-Tag, if sent
  - `created_at` string, date-time
  - `completed_at` string, date-time, nullable
  - `output` object: Operation result (see each operation). While a Studio render is processing: `stage` (queued · transcribing · downloading · preparing · cleaning_voice · mixing_audio · rendering · finishing), `phase` (the engine's: download · prepare · voice · audio · encode · qa · upload, or null), `progress` (a percent, 0–100) and `progress_fraction` (0–1), `eta_seconds` (seconds left, never below 0) and `estimate_seconds`
    - `rows` object[]
      - `end` string: YYYY-MM-DD (inclusive)
      - `start` string: YYYY-MM-DD
      - `metrics` object
    - `platform` 'linkedinads'
    - `granularity` 'ALL' | 'DAILY' | 'MONTHLY' | 'YEARLY'
  - `error` string, nullable
  - `usage` object
    - `credits_charged` number, nullable
    - `credits_reserved` number
    - `estimated_credits` number
    - `cost_source` 'provider_reported' | 'calculated' | 'estimated' | 'null', nullable
    - `provider_usage` object, nullable: Normalised consumption, e.g. { VIDEO_SECOND: 22.4 }
  - `balance` object
    - `available` number
    - `reserved` number

## Other responses

- `400`: Invalid input
- `402`: Insufficient credits / project budget
- `404`: Resource not found (or not yours)
- `429`: Rate limited
- `503`: Service temporarily paused

---

[API](https://skmtc.dev/apihub/apis/apihub-one-api-for-chat-image-video-ai.md) · [All operations](https://skmtc.dev/apihub/apis/apihub-one-api-for-chat-image-video-ai/llms.txt) · [OpenAPI document](https://skmtc.dev/apihub/apis/apihub-one-api-for-chat-image-video-ai/revisions/a8caa42835ce?raw)