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GET
/
analytics
/
campaigns
/
{campaignId}
Campaign Analytics
curl --request GET \
  --url https://api.kakiyo.com/v1/analytics/campaigns/{campaignId} \
  --header 'Authorization: Bearer <token>'
{
  "campaign": {
    "id": "campaign_123",
    "name": "Q4 Enterprise Outreach"
  },
  "metrics": {
    "totalProspects": 150,
    "conversionRate": 8
  }
}

​
Overview

Get detailed analytics and performance metrics for a specific campaign. This endpoint provides comprehensive insights into campaign performance, prospect engagement, and conversion metrics.

​
Path Parameters

​
campaignId
string
required
The unique identifier of the campaign to analyze

​
Use Cases

  • Campaign Performance Review: Analyze individual campaign effectiveness
  • Optimization Insights: Identify areas for campaign improvement
  • ROI Analysis: Calculate return on investment for specific campaigns
  • A/B Testing: Compare performance between different campaign strategies

​
Response Structure

​
Campaign Details

  • Basic campaign information and configuration
  • Current status and timeline

​
Performance Metrics

  • Prospect engagement statistics
  • Message and response metrics
  • Qualification and conversion rates

​
Daily Activity Breakdown

  • Day-by-day activity analysis
  • Trend identification over time

​
Status Distribution

  • Breakdown of prospects by conversation status
  • Qualification status analysis

​
Example Response

{
  "campaign": {
    "id": "campaign_123",
    "name": "Q4 Enterprise Outreach",
    "status": "active",
    "createdAt": "2024-01-15T10:30:00Z",
    "agent": "agent_456",
    "product": "Enterprise Solution"
  },
  "metrics": {
    "totalProspects": 150,
    "totalMessages": 420,
    "totalQualified": 12,
    "totalAnswers": 35,
    "totalClosed": 8,
    "conversionRate": 8.0,
    "responseRate": 23.33,
    "qualificationRate": 34.29,
    "averageMessagesPerProspect": 2.8
  },
  "activity": {
    "dailyBreakdown": [
      {
        "date": "2024-01-20",
        "messages": 25,
        "responses": 4,
        "qualified": 1
      },
      {
        "date": "2024-01-19",
        "messages": 30,
        "responses": 6,
        "qualified": 2
      }
    ],
    "last7Days": {
      "messages": 180,
      "responses": 28,
      "qualified": 8
    }
  },
  "statusDistribution": {
    "pending": 85,
    "contacted": 45,
    "responded": 35,
    "qualified": 12,
    "closed": 8
  },
  "qualificationBreakdown": {
    "pending": 123,
    "qualified": 12,
    "disqualified": 15
  }
}

​
Testing Example

curl -X GET "https://api.kakiyo.com/v1/analytics/campaigns/campaign_123" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json"

// JavaScript/Node.js
const campaignId = 'campaign_123';
const response = await fetch(`https://api.kakiyo.com/v1/analytics/campaigns/${campaignId}`, {
  method: 'GET',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  }
});

const analytics = await response.json();
console.log('Campaign Analytics:', analytics);

# Python
import requests

campaign_id = 'campaign_123'
response = requests.get(
    f'https://api.kakiyo.com/v1/analytics/campaigns/{campaign_id}',
    headers={
        'Authorization': 'Bearer YOUR_API_KEY',
        'Content-Type': 'application/json'
    }
)

analytics = response.json()
print('Campaign Analytics:', analytics)

​
Error Responses

​
Campaign Not Found

{
  "error": "not_found",
  "message": "Campaign not found"
}

​
Access Denied

{
  "error": "forbidden", 
  "message": "You do not have access to this campaign"
}

​
Analytics Insights

​
Performance Indicators

High-Performing Campaigns:
  • Response rate > 20%
  • Qualification rate > 30%
  • Conversion rate > 5%
Optimization Opportunities:
  • Low response rate: Review messaging strategy
  • High responses, low qualification: Improve targeting
  • High qualification, low closing: Enhance follow-up process

​
Daily Activity Patterns

Monitor daily breakdowns to identify:
  • Peak engagement days
  • Message volume optimization
  • Response timing patterns

​
Best Practices

  1. Regular Review: Analyze campaign metrics weekly
  2. Comparative Analysis: Compare with team averages
  3. Trend Monitoring: Track performance changes over time
  4. Data-Driven Decisions: Use metrics to guide campaign adjustments

Authorizations

​
Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

​
campaignId
string
required

Response

Campaign analytics retrieved successfully

​
campaign
object
​
metrics
object