概要:您可以合并Cost ETL和Data Locker中的群组报告(常规及高级汇总均适用),获得时效性最强、准确性最高、颗粒度最细的数据,全面掌握投放情况。
Cost ETL与群组报告的合并方式简介
Cost ETL报告以及Data Locker中的群组报告(常规及高级汇总均适用)分别具有其各自专属的特点。比如Cost ETL报告中包含展示、点击和成本数据,而群组报告则提供详细的归因、应用内事件和收入数据。
为了充分利用这两种报告,建议您在内部BI系统接收到Cost ETL和汇总群组报告并完成入库后合并这两个报告。
合并后的报告具有以下优势:
- 可提供时效性最强、准确性最高、颗粒度最细的数据,帮助您全面了解营销效果。
- 将贵司的内部BI与AppsFlyer面板数据对齐。
- 有助于重要指标的计算,如广告支出回报率(ROAS)以及平均用户行为成本(CPA)。
用于合并报告的查询语句
将Cost ETL报告与下列报告合并时,需要考量特定的查询语句和注意事项,详见以下各章节说明。
用于合并Cost ETL与高级汇总群组报告的查询语句
合并Cost ETL与群组报告时,您的BI开发人员需要完成以下操作:
- 您可以参考以下查询语句,并根据您内部BI的实际情况做相应的调整。
-
重要事项:
- 调整查询语句:
- 调整报告的起始日期和截止日期。
- 调整您的报告名称。
- 从特定的Cost ETL数据结构中选择所需的维度和指标。
- 不同报告的时效性有所差异。比如Cost ETL每天最多更新四次,而高级汇总群组报告的更新更为频繁。
- 高级汇总群组报告覆盖最近1095天内转化的用户,更早之前转化的用户会被忽略。
- Cost ETL报告中,数据的时区与AppsFlyer中储存的数据一致。高级汇总群组报告则包含UTC时区的数据版本和本地时区的数据版本。推荐设置:与Cost ETL报告合并时,建议使用按本地时区分版本的报告。
- 调整查询语句:
查询语句
select ag.app_id,
ag.days_post_attribution,
ag.conversion_date,
ag.event_date,
ag.event_name,
ag.media_source,
ag.campaign,
ag.campaign_id,
ag.adset,
ag.adset_id,
ag.ad,
ag.ad_id,
ag.channel,
ag.site_id,
ag.keywords,
ag.geo,
ag.agency,
ag.selected_currency as revenue_currency,
ag.timezone as cohort_timezone,
cst.timezone as cost_timezone,
cst.os,
cst.ad_account,
cst.currency as cost_currency,
cst.original_currency as cost_original_currency,
cost,
original_cost,
impressions as impressions,
clicks,
reported_impressions,
reported_clicks,
reported_conversions,
ctr,
cvr,
ecpm,
cpi,
ccvr,
cvvr,
reported_cvr,
install_diff,
click_diff,
impression_diff,
ecpc,
video_25p_views,
video_50p_views,
video_75p_views,
video_completions,
campaign_objective,
cost_model,
af_cost_model,
bid_strategy,
af_bid_strategy,
bid_amount,
original_bid_amount,
SUM(cast(ag.revenue_selected_currency as double)) as revenue_selected_currency,
SUM(cast(ag.revenue_usd as double)) as revenue_usd,
SUM(cast(ag.unique_users as int)) as unique_users,
SUM(cast(ag.first_inapps as int)) as first_inapps,
SUM(cast(ag.event_count as int)) as event_count,
coalesce(SUM(cast(case when ag.event_name = 'af_conversion' and ag.conversion_type = 'install' then ag.event_count end as int)),0) as installs,
coalesce(SUM(cast(case when ag.event_name = 'af_conversion' and ag.conversion_type = 're-engagement' then ag.event_count end as int)),0) as re_engagements,
coalesce(SUM(cast(case when ag.event_name = 'af_conversion' and ag.conversion_type = 're-attribution' then ag.event_count end as int)),0) as re_attribution
FROM {YOUR_ADVANCED_AGG_REPORT} as ag
LEFT JOIN {YOUR_COST_ETL_REPORT} as cst
ON ag.event_name = 'af_conversion'
and ag.conversion_date = cst.date
and ag.app_id = cst.app_id
and ag.media_source = cst.media_source
and ag.campaign = cst.campaign
and ag.campaign_id = cst.campaign_id
and ag.adset = cst.adset
and ag.adset_id = cst.adset_id
and ag.ad = cst.ad
and ag.ad_id = cst.ad_id
and ag.channel = cst.channel
and ag.site_id = cst.site_id
and ag.keywords = cst.keywords
and ag.geo = cst.geo
and ag.agency = cst.agency
WHERE ag.conversion_date between {start date} and {end date}
and cst.date between {start date} and {end date}
GROUP BY ALL;
用于合并Cost ETL和群组报告的查询语句
合并Cost ETL与群组报告时,您的BI开发人员需要完成以下操作:
- 您可以参考以下查询语句,并根据您内部BI的实际情况做相应的调整。
-
重要事项:
- 调整查询语句:
- 调整报告的起始日期和截止日期。
- 调整您的报告名称。
- 从特定的Cost ETL数据结构中选择所需的维度和指标。
- 不同报告的时效性有所差异。比如Cost ETL每天最多更新四次,而Data Locker中的群组报告一天更新一次。
- Cost ETL报告中,数据的时区与AppsFlyer中储存的数据一致,而Data Locker中的群组报告则按UTC时间呈现。
- 调整查询语句:
查询语句
select dl.app_id,
dl.days_post_attribution,
dl.conversion_date,
dl.event_date,
dl.event_name,
dl.media_source,
dl.campaign,
dl.campaign_id,
dl.adset,
dl.adset_id,
dl.ad,
dl.ad_id,
dl.channel,
dl.site_id,
dl.keywords,
dl.geo,
dl.agency,
dl.selected_currency as revenue_currency,
cst.timezone as cost_timezone,
cst.os,
cst.ad_account,
cst.currency as cost_currency,
cst.original_currency as cost_original_currency,
cost,
original_cost,
impressions as impressions,
clicks,
reported_impressions,
reported_clicks,
reported_conversions,
ctr,
cvr,
ecpm,
cpi,
ccvr,
cvvr,
reported_cvr,
install_diff,
click_diff,
impression_diff,
ecpc,
video_25p_views,
video_50p_views,
video_75p_views,
video_completions,
campaign_objective,
cost_model,
af_cost_model,
bid_strategy,
af_bid_strategy,
bid_amount,
original_bid_amount,
SUM(cast(dl.revenue_selected_currency as double)) as revenue_selected_currency,
SUM(cast(dl.revenue_usd as double)) as revenue_usd,
SUM(cast(dl.unique_users as int)) as unique_users,
SUM(cast(dl.event_count as int)) as event_count,
coalesce(SUM(cast(case when dl.event_name = 'af_conversion' and dl.conversion_type = 'install' then dl.event_count end as int)),0) as installs,
coalesce(SUM(cast(case when dl.event_name = 'af_conversion' and dl.conversion_type = 're-engagement' then dl.event_count end as int)),0) as re_engagements,
coalesce(SUM(cast(case when dl.event_name = 'af_conversion' and dl.conversion_type = 're-attribution' then dl.event_count end as int)),0) as re_attribution
FROM {YOUR_DATA_LOCKER_REPORT} as dl
LEFT JOIN {YOUR_COST_ETL_REPORT} as cst
ON dl.event_name = 'af_conversion'
and dl.conversion_date = cst.date
and dl.app_id = cst.app_id
and dl.media_source = cst.media_source
and dl.campaign = cst.campaign
and dl.campaign_id = cst.campaign_id
and dl.adset = cst.adset
and dl.adset_id = cst.adset_id
and dl.ad = cst.ad
and dl.ad_id = cst.ad_id
and dl.channel = cst.channel
and dl.site_id = cst.site_id
and dl.keywords = cst.keywords
and dl.geo = cst.geo
and dl.agency = cst.agency
WHERE dl.conversion_date between {start date} and {end date}
and cst.date between {start date} and {end date}
GROUP BY ALL;