## Get campaign statistics

`campaigns.statistics(strid)  -> CampaignStatisticsResponse`

**get** `/campaigns/{id}/statistics`

Retrieve the "Statistiques" report for a campaign: the four-tile cascade funnel (appelés → eus en ligne → réels échanges → leads chauds), two secondary tiles, the distribution of exchanges by outcome, the list of hot leads, and data-extraction coverage. All counts are over distinct E.164-normalized phone numbers, and the outcome-based categories derive exclusively from calls.outcome. Cascade percentages are null when their denominator is zero.

### Parameters

- `id: str`

### Returns

- `class CampaignStatisticsResponse: …`

  - `statistics: Statistics`

    - `campaign: StatisticsCampaign`

      - `id: str`

      - `agent_name: Optional[str]`

      - `first_activity_at: object`

      - `has_activity: bool`

      - `is_cancelled: bool`

      - `last_activity_at: object`

      - `max_attempts_per_contact: Optional[float]`

      - `name: str`

      - `status: Literal["running", "paused", "completed"]`

        - `"running"`

        - `"paused"`

        - `"completed"`

      - `timezone: str`

    - `data_extraction: Optional[StatisticsDataExtraction]`

      - `fields: List[str]`

      - `intro: str`

    - `effort: StatisticsEffort`

      - `calls_total: float`

      - `inbound_calls: float`

      - `outbound_attempts: float`

    - `funnel: StatisticsFunnel`

      - `called: StatisticsFunnelCalled`

        - `count: float`

        - `imported_rows: float`

      - `hot_leads: StatisticsFunnelHotLeads`

        - `count: float`

        - `pct_of_reached: Optional[float]`

      - `reached: StatisticsFunnelReached`

        - `count: float`

        - `inbound: float`

        - `outbound: float`

        - `overlap: float`

        - `pct_of_called: Optional[float]`

      - `real_exchanges: StatisticsFunnelRealExchanges`

        - `count: float`

        - `pct_of_reached: Optional[float]`

    - `hot_lead_outcomes: List[str]`

    - `inbound: StatisticsInbound`

      - `unique_callers: float`

    - `jump_in: StatisticsJumpIn`

      - `joined_calls: float`

      - `median_conversation_seconds: Optional[float]`

      - `median_time_to_join_seconds: Optional[float]`

    - `leads: StatisticsLeads`

      - `callback_requested: List[StatisticsLeadsCallbackRequested]`

        - `attempt_id: Optional[str]`

        - `call_id: str`

        - `direction: Literal["inbound", "outbound"]`

          - `"inbound"`

          - `"outbound"`

        - `email: Optional[str]`

        - `last_activity_at: object`

        - `name: str`

        - `phone: str`

        - `summary: Optional[str]`

      - `interested: List[StatisticsLeadsInterested]`

        - `attempt_id: Optional[str]`

        - `call_id: str`

        - `direction: Literal["inbound", "outbound"]`

          - `"inbound"`

          - `"outbound"`

        - `email: Optional[str]`

        - `last_activity_at: object`

        - `name: str`

        - `phone: str`

        - `summary: Optional[str]`

    - `outcome_breakdown: List[StatisticsOutcomeBreakdown]`

      - `count: float`

      - `label: str`

      - `outcome: str`

### Example

```python
import os
from revox import Revox

client = Revox(
    api_key=os.environ.get("REVOX_API_KEY"),  # This is the default and can be omitted
)
response = client.campaigns.statistics(
    "id",
)
print(response.statistics)
```

#### Response

```json
{
  "statistics": {
    "campaign": {
      "id": "id",
      "agent_name": "agent_name",
      "first_activity_at": {},
      "has_activity": true,
      "is_cancelled": true,
      "last_activity_at": {},
      "max_attempts_per_contact": 0,
      "name": "name",
      "status": "running",
      "timezone": "timezone"
    },
    "data_extraction": {
      "fields": [
        "string"
      ],
      "intro": "intro"
    },
    "effort": {
      "calls_total": 0,
      "inbound_calls": 0,
      "outbound_attempts": 0
    },
    "funnel": {
      "called": {
        "count": 0,
        "imported_rows": 0
      },
      "hot_leads": {
        "count": 0,
        "pct_of_reached": 0
      },
      "reached": {
        "count": 0,
        "inbound": 0,
        "outbound": 0,
        "overlap": 0,
        "pct_of_called": 0
      },
      "real_exchanges": {
        "count": 0,
        "pct_of_reached": 0
      }
    },
    "hot_lead_outcomes": [
      "string"
    ],
    "inbound": {
      "unique_callers": 0
    },
    "jump_in": {
      "joined_calls": 0,
      "median_conversation_seconds": 0,
      "median_time_to_join_seconds": 0
    },
    "leads": {
      "callback_requested": [
        {
          "attempt_id": "attempt_id",
          "call_id": "call_id",
          "direction": "inbound",
          "email": "email",
          "last_activity_at": {},
          "name": "name",
          "phone": "phone",
          "summary": "summary"
        }
      ],
      "interested": [
        {
          "attempt_id": "attempt_id",
          "call_id": "call_id",
          "direction": "inbound",
          "email": "email",
          "last_activity_at": {},
          "name": "name",
          "phone": "phone",
          "summary": "summary"
        }
      ]
    },
    "outcome_breakdown": [
      {
        "count": 0,
        "label": "label",
        "outcome": "outcome"
      }
    ]
  }
}
```