# ファネル分析モデルAPI
# Funnel Analysis Model API
As for the call method, please refer to the call method description in Open API
You can read the funnel analysis in the user manual to understand the usage scenario.
# Funnel Analysis Query
Interface URL
/open/funnel-analyze?token=xxx
Request method
POST
Content-Type
application/json
Request Query Parameter
| Parameter name | Sample value | Parameter type | Is required | Parameter description |
|---|---|---|---|---|
| token | xxx | String | Yes | token |
# Request Body Parameter
{
"eventView":{
"endTime":"2021-10-31 23:59:59",
"filts":[
{
"columnDesc":"city",
"columnName":"city",
"comparator":"equal",
"filterType":"SIMPLE",
"ftv":[
"Shanghai",
"Beijing",
"Guangzhou",
"Shenzhen"],
"specifiedClusterDate":"2022-01-24",
"tableType":"user",
"timeUnit":""
}],
"groupBy":[
{
"columnDesc":"city",
"columnName":"city",
"propertyRange":"",
"specifiedClusterDate":"2022-01-24",
"tableType":"user"
}],
"recentDay":"",
"relation":"and",
"startTime":"2021-10-01 00:00:00",
"taIdMeasureVo":{
"columnDesc":"only user ID",
"columnName":"#user_id",
"tableType":"event"
},
"windows_gap":1,
"windows_gap_tu":"hour"
},
"events":[
{
"eventName":"register",
"eventNameDisplay":"",
"filts":[
{
"columnDesc":"app version",
"columnName":"app_version",
"comparator":"equal",
"filterType":"SIMPLE",
"ftv":[
"V1.0"],
"specifiedClusterDate":"2022-01-26",
"tableType":"event",
"timeUnit":""
}],
"relation":"and"
},
{
"eventName":"login",
"eventNameDisplay":"",
"filts":[
],
"relation":"and"
},
{
"eventName":"activity_attend",
"eventNameDisplay":"",
"filts":[
],
"relation":"and"
},
{
"eventName":"logout",
"eventNameDisplay":"",
"filts":[
],
"relation":"and"
}
],
"projectId":377,
"limit": 2,
"timeoutSeconds": 10,
"useCache": true
}
# Request Parameter Description
| Parameter name | Sample value | Parameter type | Is required | Parameter description |
|---|---|---|---|---|
| eventView | - | Object | Yes | Metrics common attribute part |
| ∟ endTime | 2021-10-31 23:59:59 | String | No | End time (format: yyyy-MM-dd HH: mm: ss), valid when the relative time is empty |
| ∟ filts | - | List | No | Global filters parts |
| ∟ columnDesc | City | String | No | Field display name |
| ∟ columnName | city | String | Yes | Field name |
| ∟ comparator | equal | String | Yes | Reference: filtering expression of model query API |
| ∟ filterType | SIMPLE | String | No | Filter mode, SIMPLE: simple, COMPOUND: composite |
| ∟ ftv | ["Shanghai"] | List | No | Property comparative with bound literial |
| ∟ specifiedClusterDate | 2022-01-24 | String | No | Historical tag version of specified date |
| ∟ tableType | user | String | Yes | Table type enumeration |
| ∟ timeUnit | String | No | Property filter unit, only valid to relativeEvent*：day，hour，minute | |
| ∟ groupBy | - | List | No | Group attributes, can have zero or more |
| ∟ columnDesc | City | String | No | Field display name |
| ∟ columnName | city | String | Yes | Field name |
| ∟ propertyRange | String | No | Self-defined property interval | |
| ∟ specifiedClusterDate | 2022-01-24 | String | No | Historical tag version of specified date |
| ∟ tableType | user | String | Yes | Table type enumeration |
| ∟ recentDay | String | No | Relative time (this item cannot be empty both with the start time and the end time) | |
| ∟ relation | and | String | No | Logical relationship, and: logical and, or: logical or |
| ∟ startTime | 2021-10-01 00:00:00 | String | No | Start time (format: yyyy-MM-dd HH: mm: ss), valid when the relative time is empty |
| ∟ taIdMeasureVo | - | Object | No | Query ID system configuration |
| ∟ columnDesc | User unique ID | String | No | Field display name |
| ∟ columnName | #user_id | String | Yes | Field name |
| ∟ tableType | event | String | Yes | Table type enumeration |
| ∟ windows_gap | 1 | Long | No | Window duration |
| ∟ windows_gap_tu | hour | String | No | Window duration units, Second: seconds Minutes: minutes Hour: hour Day: day Week: week Month: month |
| events | - | List | Yes | Event metric list |
| ∟ eventName | register | String | Yes | The eventName the metric based on, "anyEvent" can be used to represent any event |
| ∟ eventNameDisplay | String | No | Self-defined metric display name | |
| ∟ filts | - | List | No | List of conditions |
| ∟ columnDesc | App version | String | No | Field display name |
| ∟ columnName | app_version | String | Yes | Field name |
| ∟ comparator | equal | String | Yes | Reference: filtering expression of model query API |
| ∟ filterType | SIMPLE | String | No | Filter mode, SIMPLE: simple, COMPOUND: composite |
| ∟ ftv | ["V1.0"] | List | No | Property comparative with bound literial |
| ∟ specifiedClusterDate | 2022-01-26 | String | No | Historical tag version of specified date |
| ∟ tableType | event | String | Yes | Table type enumeration |
| ∟ timeUnit | String | No | Filter time unit | |
| ∟ relation | and | String | No | Logical relationship, and: logical and, or: logical or |
| projectId | 377 | Integer | Yes | Project enumeric identity |
| limit | 2 | Integer | No | Maximum number of groups per analysis object, optional parameters, default is 1000, maximum is 10000 |
| timeoutSeconds | 10 | Integer | No | Request timed out parameter, timeout cancels query task |
| useCache | true | Boolean | No | Use cache, optional parameter, default is true |
# Successful Response Example
{
"data": {
"result_generate_time": "2022-01-26 19:23:51",
"total": 5,
"x": [
"2021-10-01",
"2021-10-02",
"2021-10-03",
"2021-10-04",
"2021-10-05",
"2021-10-06",
"2021-10-07",
"2021-10-08",
"2021-10-09",
"2021-10-10",
"2021-10-11",
"2021-10-12",
"2021-10-13",
"2021-10-14",
"2021-10-15",
"2021-10-16",
"2021-10-17",
"2021-10-18",
"2021-10-19",
"2021-10-20",
"2021-10-21",
"2021-10-22",
"2021-10-23",
"2021-10-24",
"2021-10-25",
"2021-10-26",
"2021-10-27",
"2021-10-28",
"2021-10-29",
"2021-10-30",
"2021-10-31"
],
"y": [
{
"total": {
"col1": [
5666,
197,
197,
197
],
"col2": [
[
208,
10,
10,
10
],
[
205,
4,
4,
4
],
[
189,
5,
5,
5
],
[
229,
10,
10,
10
],
[
217,
6,
6,
6
],
[
257,
10,
10,
10
],
[
233,
6,
6,
6
],
[
207,
7,
7,
7
],
[
204,
7,
7,
7
],
[
248,
14,
14,
14
],
[
217,
4,
4,
4
],
[
207,
9,
9,
9
],
[
219,
8,
8,
8
],
[
220,
4,
4,
4
],
[
193,
10,
10,
10
],
[
218,
9,
9,
9
],
[
232,
7,
7,
7
],
[
222,
10,
10,
10
],
[
220,
8,
8,
8
],
[
203,
6,
6,
6
],
[
217,
8,
8,
8
],
[
239,
3,
3,
3
],
[
214,
5,
5,
5
],
[
197,
11,
11,
11
],
[
199,
8,
8,
8
],
[
135,
7,
7,
7
],
[
73,
1,
1,
1
],
[
33,
0,
0,
0
],
[
11,
0,
0,
0
],
[
0,
0,
0,
0
],
[
0,
0,
0,
0
]
]
}
},
{
"Beijing": {
"col1": [
2028,
70,
70,
70
],
"col2": [
[
79,
1,
1,
1
],
[
71,
2,
2,
2
],
[
65,
0,
0,
0
],
[
74,
3,
3,
3
],
[
72,
2,
2,
2
],
[
89,
3,
3,
3
],
[
88,
2,
2,
2
],
[
75,
3,
3,
3
],
[
66,
4,
4,
4
],
[
95,
1,
1,
1
],
[
60,
1,
1,
1
],
[
68,
5,
5,
5
],
[
80,
5,
5,
5
],
[
68,
2,
2,
2
],
[
67,
6,
6,
6
],
[
84,
4,
4,
4
],
[
84,
1,
1,
1
],
[
87,
1,
1,
1
],
[
79,
6,
6,
6
],
[
76,
1,
1,
1
],
[
81,
3,
3,
3
],
[
85,
1,
1,
1
],
[
89,
2,
2,
2
],
[
75,
3,
3,
3
],
[
74,
5,
5,
5
],
[
49,
2,
2,
2
],
[
26,
1,
1,
1
],
[
16,
0,
0,
0
],
[
6,
0,
0,
0
],
[
0,
0,
0,
0
],
[
0,
0,
0,
0
]
]
}
}
],
"z": [
"register",
"login",
"activity_attend",
"logout"
]
},
"return_code": 0,
"return_message": "success"
}
# Response Parameter Description
| Parameter name | Sample value | Parameter type | Parameter description |
|---|---|---|---|
| return_code | 0 | Integer | Return code |
| return_message | success | String | Return message |
| data | - | Object | Return result |
| ∟ result_generate_time | 2022-01-01 00:00:00 | String | Calculation result generation time |
| ∟ total | 5 | Integer | Total |
| ∟ x | ["2021-10-01"] | List | Time list |
| ∟ y | - | List | Data List |
| ∟ z | ["register"] | List | List of event names |
Error Response Example
{
"return_code": -1008,
"return_message": "The parameter (token) is empty"
}
| Parameter name | Sample value | Parameter type | Parameter description |
|---|---|---|---|
| return_code | -1008 | Integer | Return code |
| return_message | The parameter (token) is empty | String | Return information |
# Funnel Analysis Full Data Download
Interface URL
/open/streaming-download/funnel-analyze?token=xxx
Request method
POST
Content-Type
application/json
Request Query Parameter
| Parameter name | Sample value | Parameter type | Mandatory or not | Parameter description |
|---|---|---|---|---|
| token | xxx | String | Yes | Query key |
# Request Body parameter
{
"eventView": {
"endTime": "2022-03-07 17:27:29",
"filts": [],
"groupBy": [],
"recentDay": "1-7",
"relation": "and",
"startTime": "2022-03-01 17:27:29",
"taIdMeasureVo": {
"columnDesc": "User ID",
"columnName": "#user_id",
"tableType": "event"
},
"windows_gap": 1,
"windows_gap_tu": "day"
},
"events": [{
"eventName": "Login",
"eventNameDisplay": "",
"filts": [],
"relation": "and"
}, {
"eventName": "LogOut",
"eventNameDisplay": "",
"filts": [],
"relation": "and"
}],
"projectId": 319,
"timeView": "TOTAL_TIME",
"resultType": "CONVERSION"
}
# Request Parameter Description
| Parameter name | Sample value | Parameter type | Mandatory or not | Parameter description |
|---|---|---|---|---|
| eventView | - | Object | Yes | Same parameters as Funnel Analysis Query interface |
| events | - | List | Yes | Same parameters as Funnel Analysis Query interface |
| projectId | 377 | Integer | Yes | 项目ID |
| timeView | TOTAL_TIME | String | No | Time analysis aspect, TOTAL_TIME(By total) , PER_DATE(By date) |
| resultType | CONVERSION | String | No | Result Type, CONVERSION(Download conversion part)， DROP_OFF(Download drop part) |
# Response
Same with the full data download of the funnel analysis of the TE system
# Funnel Analysis User List
Interface URL
/open/funnel-user-list?token=xxx
Request method
POST
Content-Type
application/json
Request Query parameter
| Parameter name | Sample value | Parameter type | Is required | Parameter description |
|---|---|---|---|---|
| token | xxx | String | Yes | token |
| projectId | 0 | Integer | Yes | Project ID |
# Request Body Parameter
{
"projectId": 0,
"eventView": {
"startTime": "2019-11-23 00:00:00",
"endTime": "2019-11-26 00:00:00",
"recentDay": "1-4",
"relation": "and",
"timeParticleSize": "day",
"filts": [
{
"columnName": "user_level",
"comparator": "equal",
"ftv": [
"5"
],
"tableType": "user"
}
],
"groupBy": [
{
"columnName": "#province",
"tableType": "event"
}
]
},
"events": [
{
"eventName": "obtain_item",
"relation": "and",
"filts": [
{
"columnName": "#province",
"comparator": "equal",
"ftv": [
"Jiangsu",
"Shanghai"
],
"tableType": "event"
}
]
}
],
"sliceFunnelStep": 1,
"sliceGroupVal": "['Shanghai']",
"timeoutSeconds": 10
}
# Request Parameter Description
| Parameter name | Sample value | Parameter type | Is required | Parameter description |
|---|---|---|---|---|
| projectId | 0 | String | Yes | Project numeric indentity |
| eventView | - | Object | Yes | Same parameters as Funnel Analysis Query interface |
| events | List | Yes | Same parameters as Funnel Analysis Query interface | |
| sliceFunnelStep | 1 | Integer | Yes | Go to the detail by which Funnel step, starting from 1 |
| sliceGroupVal | "['Shanghai']" | String | No | Go to the detail by which grouping |
| sliceWastageUser | false | Boolean | No | Whether lost user，true: yes，false: no |
| timeoutSeconds | 10 | Integer | No | Request timed out parameter, timeout cancels query task |
# Successful Response Example
{
"data": {
"datalist": [
{
"#account_id": "u78082246",
"#distinct_id": "u145009846",
"user_level": 5,
"register_time": "2019-11-26 09:59:34",
"diamond_num": 1006,
"latest_login_time": "2019-11-26 11:14:12",
"channel": "Xiaomi App store",
"#user_id": 33463846
},
{
"#account_id": "k77655236",
"#distinct_id": "k144216836",
"user_level": 5,
"register_time": "2019-11-24 08:53:09",
"diamond_num": 1012,
"latest_login_time": "2019-11-24 10:02:38",
"channel": "Wangdoujia",
"#user_id": 33280836
},
{
"#account_id": "a77648226",
"#distinct_id": "a144203826",
"user_level": 5,
"register_time": "2019-11-24 08:21:19",
"diamond_num": 1006,
"latest_login_time": "2019-11-24 09:32:31",
"channel": "Application treasure",
"#user_id": 33277826
}
],
"columMeta": {
"#account_id": "account ID",
"#distinct_id": "visitor ID",
"user_level": "user level",
"register_time": "register time",
"diamond_num": "diamond number",
"first_recharge_time": "first recharge time",
"latest_login_time": "lastest login time",
"channel": "channel"
}
},
"return_code": 0,
"return_message": "success"
}
# Response Parameter Description
| Parameter name | Sample value | Parameter type | Parameter description |
|---|---|---|---|
| return_code | 0 | Integer | Return code |
| return_message | success | String | Return message |
| data | - | Object | Return result |
| ∟ datalist | - | List | User Information |
| ∟ columMeta | - | Map | Field meaning mapping |
Error Response Example
{
"return_code": -1008,
"return_message": "The parameter (token) is empty"
}
| Parameter name | Sample value | Parameter type | Parameter description |
|---|---|---|---|
| return_code | -1008 | Integer | Return code |
| return_message | The parameter (token) is empty | String | Return information |
# Download of Funnel Analysis User List
Interface URL
/open/streaming-download/funnel-user-list?token=xxx
请求方式
POST
Content-Type
application/json
Request Query parameters
| Parameter name | Sample value | Parameter type | Mandatory or not | Parameter description |
|---|---|---|---|---|
| token | xxx | String | Yes | Query key |
# Request Body Parameters
{
"eventView": {
"endTime": "2022-03-07 17:27:29",
"filts": [],
"groupBy": [],
"recentDay": "1-7",
"relation": "and",
"startTime": "2022-03-01 17:27:29",
"taIdMeasureVo": {
"columnDesc": "User ID",
"columnName": "#user_id",
"tableType": "event"
},
"windows_gap": 1,
"windows_gap_tu": "day"
},
"events": [{
"eventName": "Login",
"eventNameDisplay": "",
"filts": [],
"relation": "and"
}, {
"eventName": "LogOut",
"eventNameDisplay": "",
"filts": [],
"relation": "and"
}],
"projectId": 319,
"sliceFunnelStep": 1,
"sliceWastageUser": false,
"selectedColumns": ["#account_id", "#distinct_id"]
}
# Request Parameter Description
| Parameter name | Sample value | Parameter type | Mandatory or not | Parameter description |
|---|---|---|---|---|
| projectId | 0 | String | 是 | Project numeric indentity |
| eventView | - | Object | 是 | Same parameters as Funnel Analysis Query interface |
| events | List | 是 | Same parameters as Funnel Analysis Query interface | |
| sliceFunnelStep | 1 | Integer | 是 | Go to the detail by which Funnel step, starting from 1 |
| sliceGroupVal | "['Shanghai']" | String | 否 | Go to the detail by which grouping |
| sliceWastageUser | false | Boolean | 否 | Whether lost user，true: yes，false: no |
| selectedColumns | ["#account_id", "#distinct_id"] | Array | 否 | The columns to be downloaded |
# Response
Same with the download of the funnel analysis user list of the TE system