- query parameters
- access_token
- start_date
- end_date
- conversion_v3[office_id]
- conversion_v3[status] - sign_up, applied, approved, realized, completed
- conversion_v3[campaign_filter] - provide campaign_id as value
"i_accepted_to_approved_time_9": {
"meta": {},
"doc_count": 6,
"children": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": 489,
"doc_count": 1,
"approval_avg": {
"value": 1723094976000.0,
"value_as_string": "2024-08-08T05:29:36.000Z"
},
"created_avg": {
"value": 1723094610552.0,
"value_as_string": "2024-08-08T05:23:30.552Z"
}
},
{
"key": 506,
"doc_count": 1,
"approval_avg": {
"value": 1723094976000.0,
"value_as_string": "2024-08-08T05:29:36.000Z"
},
"created_avg": {
"value": 1723094609765.0,
"value_as_string": "2024-08-08T05:23:29.765Z"
}
},
{
"key": 567,
"doc_count": 1,
"approval_avg": {
"value": 1723094977000.0,
"value_as_string": "2024-08-08T05:29:37.000Z"
},
"created_avg": {
"value": 1723094610358.0,
"value_as_string": "2024-08-08T05:23:30.358Z"
}
},
{
"key": 1554,
"doc_count": 1,
"approval_avg": {
"value": 1723094959000.0,
"value_as_string": "2024-08-08T05:29:19.000Z"
},
"created_avg": {
"value": 1723094610772.0,
"value_as_string": "2024-08-08T05:23:30.772Z"
}
},
{
"key": 1577,
"doc_count": 1,
"approval_avg": {
"value": 1723094959000.0,
"value_as_string": "2024-08-08T05:29:19.000Z"
},
"created_avg": {
"value": 1723094610715.0,
"value_as_string": "2024-08-08T05:23:30.715Z"
}
},
{
"key": 1610,
"doc_count": 1,
"approval_avg": {
"value": 1723094976000.0,
"value_as_string": "2024-08-08T05:29:36.000Z"
},
"created_avg": {
"value": 1723094569031.0,
"value_as_string": "2024-08-08T05:22:49.031Z"
}
}
]
},
"approval_avg": {
"value": 1723094970500.0,
"value_as_string": "2024-08-08T05:29:30.500Z"
},
"created_avg": {
"value": 1723094603532.1667,
"value_as_string": "2024-08-08T05:23:23.532Z"
}
},
"o_completed_count_9": {
"meta": {},
"doc_count": 1,
"children": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": 1709,
"doc_count": 1,
"applicants": {
"value": 1
}
}
]
},
"applicants": {
"value": 1
}
}
"o_finished_count_7": {
"meta": {},
"doc_count": 4,
"children": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": 1552,
"doc_count": 1,
"applicants": {
"value": 1
}
},
{
"key": 1570,
"doc_count": 1,
"applicants": {
"value": 1
}
},
{
"key": 1588,
"doc_count": 1,
"applicants": {
"value": 1
}
},
{
"key": 1617,
"doc_count": 1,
"applicants": {
"value": 1
}
}
]
},
"applicants": {
"value": 4
}
},
- response explanation
- i_accepted_to_approved_time_9
- i denotes incoming, and o denotes outgoing.
- accepted_to_approved_time is the of accepted to approval
- 9 denotes program ID, other program IDs are 7 and 8
- for time
- we can calculate the average from the created-approval average this will give the average time of creation to approval.
"approval_avg": {
"value": 1723094970500.0,
"value_as_string": "2024-08-08T05:29:30.500Z"
},
"created_avg": {
"value": 1723094603532.1667,
"value_as_string": "2024-08-08T05:23:23.532Z"
}
- for count
- we can find a percentage from to/from, for example: finished/completed will give a percentage of finished to completed.
- for suboffices