/api/v1/client-api/metrics/analytics/ 获取分析数据
获取分析数据,用于洞察用户行为和性能数据图表,以便进一步在数据图表中使用。
Request body
指定所需的数据图表类型。每次请求只能指定一种数据图表类型。
One of: "revenue", "mrr", "arr", "arppu", "subscriptions_active", "subscriptions_new", "subscriptions_renewal_cancelled", "subscriptions_expired", "trials_active", "trials_new", "trials_renewal_cancelled", "trials_expired", "grace_period", "billing_issue", "refund_events", "refund_money", "non_subscriptions", "arpu", "installs"
输入您希望获取数据图表数据的日期或时间段
输入用于对比的日期或时间段
按购买所在的应用商店进行筛选
按购买发生地的两位字母国家代码进行筛选
应用商店中产品的唯一标识符
指定订阅时长
归因的来源集成
表示归因是自然流量还是非自然流量
带来该交易的营销渠道
带来该交易的营销活动
带来该交易的归因广告组
带来该交易的归因广告集
广告或营销活动中用于衡量效果的特定视觉或文字素材
指定您希望获取数据的优惠类别
指定您希望获取数据的优惠类型
指定您希望获取数据的具体优惠
指定聚合分析数据的时间间隔
One of: "day", "week", "month", "quarter", "year"
指定将哪个日期视为用户加入日期
One of: "purchase_date", "profile_install_date"
设置市场细分的依据
指定导出文件格式
One of: "json", "csv"
Responses
分析数据获取成功
Schema
包含所请求数据图表类型分析数据的响应
包含不同数据图表类型的对象(revenue、proceeds、net_revenue 等)
Example
{
"data": {
"revenue": {
"data": [],
"value": 0,
"value_from": null,
"value_to": null,
"compare_value_from": null,
"compare_value_to": null,
"title": "revenue",
"type": "multi",
"default_aggregation": "sum",
"description": "<div>Total money received from both subscriptions and one-time purchases. Does not include\nrevenue from subscriptions and purchases that were refunded afterward. Calculated before the store's fee.<br />\nFor example, there were 5 monthly $10 subs, 1 yearly $100 sub and 10 one-time $50 purchases today,<br />\nrevenue = 5*$10 + 1*$100 + 10*$50 = $650</div>",
"metric_name": "Revenue",
"is_json": true,
"unit": "USD",
"recommended_period": null
},
"proceeds": {
"data": [],
"value": 0,
"value_from": null,
"value_to": null,
"compare_value_from": null,
"compare_value_to": null,
"title": "revenue",
"type": "multi",
"default_aggregation": "sum",
"description": "<div>Total money received from both subscriptions and one-time purchases. Does not include\nrevenue from subscriptions and purchases that were refunded afterward. Calculated before the store's fee.<br />\nFor example, there were 5 monthly $10 subs, 1 yearly $100 sub and 10 one-time $50 purchases today,<br />\nrevenue = 5*$10 + 1*$100 + 10*$50 = $650</div>",
"metric_name": "Revenue",
"is_json": true,
"unit": "USD",
"recommended_period": null
},
"net_revenue": {
"data": [],
"value": 0,
"value_from": null,
"value_to": null,
"compare_value_from": null,
"compare_value_to": null,
"title": "revenue",
"type": "multi",
"default_aggregation": "sum",
"description": "<div>Total money received from both subscriptions and one-time purchases. Does not include\nrevenue from subscriptions and purchases that were refunded afterward. Calculated before the store's fee.<br />\nFor example, there were 5 monthly $10 subs, 1 yearly $100 sub and 10 one-time $50 purchases today,<br />\nrevenue = 5*$10 + 1*$100 + 10*$50 = $650</div>",
"metric_name": "Revenue",
"is_json": true,
"unit": "USD",
"recommended_period": null
}
}
} 错误请求
Schema
未授权