[Feature] Add conversion metrics

.gitignore

@@ -4,4 +4,5 @@ dbt_modules/
 logs/
 dbt_packages/
 env/
-.DS_Store
+.DS_Store
+package-lock.yml

CHANGELOG.md

@@ -1,3 +1,26 @@
+# dbt_tiktok_ads v0.6.0
+[PR #20](https://github.com/fivetran/dbt_tiktok_ads/pull/20) includes the following updates:
+
+# Feature Updates: Conversion Support!
+- We have added the following source fields to each `tiktok_ads` end model:
+  - `real_time_conversion`: Number of times your ad resulted in the optimization event you selected.
+  - `total_purchase_value`: The total value of purchase events that occurred in your app that were recorded by your measurement partner.
+  - `total_sales_lead_value`: The monetary worth or potential value assigned to a lead generated through ads.
+  - `total_conversion_value`: The accumulated value of `total_purchase_value` and `total_sales_lead_value`.            
+
+- In the event that you were already passing the above fields in via our [passthrough columns](https://github.com/fivetran/dbt_tiktok_ads?tab=readme-ov-file#passing-through-additional-metrics), the package will dynamically avoid "duplicate column" errors.
+> The above new field additions are **breaking changes**  for users who were not already bringing in conversion fields via passthrough columns.
+
+## Breaking Changes (in the `dbt_tiktok_ads_source` package)
+- Update `conversion` to be an integer rather than a numeric data type, as is the expected behavior of the field. To reflect that data type change, you will need to do a `--full-refresh`.
+
+## Under the Hood
+- Created `tiktok_ads_persist_pass_through_columns` macro to ensure that the new conversion fields are backwards compatible with users who have already included them via passthrough fields.
+- Added integrity and consistency validation tests within `integration_tests` folder for the transformation models (to be used by maintainers only).
+
+## Contributors
+- [Seer Interactive](https://www.seerinteractive.com/?utm_campaign=Fivetran%20%7C%20Models&utm_source=Fivetran&utm_medium=Fivetran%20Documentation)
+
 # dbt_tiktok_ads v0.5.0
 [PR #13](https://github.com/fivetran/dbt_tiktok_ads/pull/13) includes the following updates:
 

README.md

@@ -47,13 +47,14 @@ dispatch:
     search_order: ['spark_utils', 'dbt_utils']
 ```
 
-### Step 2: Install the package
-Include the following tiktok_ads package version in your `packages.yml` file:
+### Step 2: Install the package (skip if also using the `ad_reporting` combo package)
+Include the following tiktok_ads package version in your `packages.yml` file _if_ you are not also using the upstream [Ad Reporting combination package](https://github.com/fivetran/dbt_ad_reporting):
 > TIP: Check [dbt Hub](https://hub.getdbt.com/) for the latest installation instructions or [read the dbt docs](https://docs.getdbt.com/docs/package-management) for more information on installing packages.
+
 ```yaml
 packages:
   - package: fivetran/tiktok_ads
-    version: [">=0.5.0", "<0.6.0"]
+    version: [">=0.6.0", "<0.7.0"]
 
 ```
 Do **NOT** include the `tiktok_ads_source` package in this file. The transformation package itself has a dependency on it and will install the source package as well.
@@ -83,9 +84,9 @@ vars:
 To connect your multiple schema/database sources to the package models, follow the steps outlined in the [Union Data Defined Sources Configuration](https://github.com/fivetran/dbt_fivetran_utils/tree/releases/v0.4.latest#union_data-source) section of the Fivetran Utils documentation for the union_data macro. This will ensure a proper configuration and correct visualization of connections in the DAG.
 
 #### Passing Through Additional Metrics
-By default, this package will select `clicks`, `impressions`, and `cost` from the source reporting tables to store into the staging models. If you would like to pass through additional metrics to the staging models, add the below configurations to your `dbt_project.yml` file. These variables allow for the pass-through fields to be aliased (`alias`) if desired, but not required. Use the below format for declaring the respective pass-through variables:
+By default, this package will select `clicks`, `impressions`, `cost` , `conversion`, `real_time_conversion`, `total_purchase_value`, and `total_sales_lead_value` from the source reporting tables to store into the staging models. If you would like to pass through additional metrics to the staging models, add the below configurations to your `dbt_project.yml` file. These variables allow for the pass-through fields to be aliased (`alias`) if desired, but not required. Use the below format for declaring the respective pass-through variables:
 
-> IMPORTANT: Make sure to exercise due diligence when adding metrics to these models. The metrics added by default (taps, impressions, and spend) have been vetted by the Fivetran team, maintaining this package for accuracy. There are metrics included within the source reports, such as metric averages, which may be inaccurately represented at the grain for reports created in this package. You must ensure that whichever metrics you pass through are appropriate to aggregate at the respective reporting levels in this package.
+> IMPORTANT: Make sure to exercise due diligence when adding metrics to these models. The metrics added by default (taps, impressions, spend, and various conversion metrics) have been vetted by the Fivetran team, maintaining this package for accuracy. There are metrics included within the source reports, such as metric averages, which may be inaccurately represented at the grain for reports created in this package. You must ensure that whichever metrics you pass through are appropriate to aggregate at the respective reporting levels in this package.
 
 ```yml
 vars:
@@ -140,7 +141,7 @@ This dbt package is dependent on the following dbt packages. These dependencies
 ```yml
 packages:
     - package: fivetran/tiktok_ads_source
-      version: [">=0.5.0", "<0.6.0"]
+      version: [">=0.6.0", "<0.7.0"]
 
     - package: fivetran/fivetran_utils
       version: [">=0.4.0", "<0.5.0"]

dbt_project.yml

@@ -1,5 +1,5 @@
 name: 'tiktok_ads'
-version: '0.5.0'
+version: '0.6.0'
 config-version: 2
 require-dbt-version: [">=1.3.0", "<2.0.0"]
 models:

integration_tests/ci/sample.profiles.yml

@@ -16,13 +16,13 @@ integration_tests:
       pass: "{{ env_var('CI_REDSHIFT_DBT_PASS') }}"
       dbname: "{{ env_var('CI_REDSHIFT_DBT_DBNAME') }}"
       port: 5439
-      schema: tiktok_ads_integration_tests_4
+      schema: tiktok_ads_integration_tests_5
       threads: 8
     bigquery:
       type: bigquery
       method: service-account-json
       project: 'dbt-package-testing'
-      schema: tiktok_ads_integration_tests_4
+      schema: tiktok_ads_integration_tests_5
       threads: 8
       keyfile_json: "{{ env_var('GCLOUD_SERVICE_KEY') | as_native }}"
     snowflake:
@@ -33,7 +33,7 @@ integration_tests:
       role: "{{ env_var('CI_SNOWFLAKE_DBT_ROLE') }}"
       database: "{{ env_var('CI_SNOWFLAKE_DBT_DATABASE') }}"
       warehouse: "{{ env_var('CI_SNOWFLAKE_DBT_WAREHOUSE') }}"
-      schema: tiktok_ads_integration_tests_4
+      schema: tiktok_ads_integration_tests_5
       threads: 8
     postgres:
       type: postgres
@@ -42,13 +42,13 @@ integration_tests:
       pass: "{{ env_var('CI_POSTGRES_DBT_PASS') }}"
       dbname: "{{ env_var('CI_POSTGRES_DBT_DBNAME') }}"
       port: 5432
-      schema: tiktok_ads_integration_tests_4
+      schema: tiktok_ads_integration_tests_5
       threads: 8
     databricks:
       catalog: "{{ env_var('CI_DATABRICKS_DBT_CATALOG') }}"
       host: "{{ env_var('CI_DATABRICKS_DBT_HOST') }}"
       http_path: "{{ env_var('CI_DATABRICKS_DBT_HTTP_PATH') }}"
-      schema: tiktok_ads_integration_tests_4
+      schema: tiktok_ads_integration_tests_5
       threads: 8
       token: "{{ env_var('CI_DATABRICKS_DBT_TOKEN') }}"
       type: databricks

integration_tests/dbt_project.yml

@@ -1,11 +1,14 @@
 name: 'tiktok_ads_integration_tests'
-version: '0.5.0'
+version: '0.6.0'
 profile: 'integration_tests'
 config-version: 2
 
+models:
+  +schema: "tiktok_ads_{{ var('directed_schema','dev') }}"
+
 vars: 
   tiktok_ads_source:
-    tiktok_ads_schema: tiktok_ads_integration_tests_4
+    tiktok_ads_schema: tiktok_ads_integration_tests_5
     tiktok_ads_adgroup_history_identifier: "tiktok_adgroup_history_data"
     tiktok_ads_ad_history_identifier: "tiktok_ad_history_data"
     tiktok_ads_advertiser_identifier: "tiktok_advertiser_data"

integration_tests/packages.yml

@@ -1,2 +1,2 @@
 packages:
-  - local: ../
+  - local: ../

integration_tests/seeds/tiktok_ad_report_hourly_data.csv

@@ -1,5 +1,5 @@
-AD_ID,STAT_TIME_HOUR,COST_PER_CONVERSION,REAL_TIME_CONVERSION,CPC,VIDEO_PLAY_ACTIONS,CONVERSION_RATE,VIDEO_VIEWS_P_75,RESULT,VIDEO_VIEWS_P_50,IMPRESSIONS,COMMENTS,REAL_TIME_COST_PER_RESULT,CONVERSION,REAL_TIME_RESULT,VIDEO_VIEWS_P_100,SHARES,REAL_TIME_CONVERSION_RATE,COST_PER_SECONDARY_GOAL_RESULT,SECONDARY_GOAL_RESULT_RATE,CLICKS,COST_PER_1000_REACHED,VIDEO_VIEWS_P_25,REACH,REAL_TIME_COST_PER_CONVERSION,PROFILE_VISITS_RATE,AVERAGE_VIDEO_PLAY,PROFILE_VISITS,CPM,CTR,VIDEO_WATCHED_2_S,FOLLOWS,RESULT_RATE,VIDEO_WATCHED_6_S,SECONDARY_GOAL_RESULT,COST_PER_RESULT,AVERAGE_VIDEO_PLAY_PER_USER,REAL_TIME_RESULT_RATE,SPEND,LIKES,_FIVETRAN_SYNCED
-1,2021-09-15 10:00:00,0,0,0,22,0,2,0,2,23,0,0,0,0,0,0,0,-,-,0,0,22,0,0,0,2.22,0,32.22,0,2,0,0,22,-,0,0,0,2.22,0,2021-09-15 15:56:34.862
-2,2021-09-15 10:00:00,0,0,0,33,0,0,0,0,22,0,0,0,0,0,0,0,-,-,0,0,3,0,0,0,2.22,0,2.22,0,2,0,0,2,-,0,0,0,0.22,0,2021-09-15 15:56:34.953
-3,2021-09-15 10:00:00,0,0,0,2,0,0,0,0,2,0,0,0,0,0,0,0,-,-,0,0,0,0,0,0,2.22,0,0,0,0,0,0,0,-,0,0,0,0,0,2021-09-15 15:56:34.923
-4,2021-09-15 10:00:00,0.22,2,0.22,22,222,2,2,2,22,0,0.22,2,2,2,0,200,-,-,2,0,2,0,0.22,0,2.22,0,22.22,2.22,2,0,100,2,-,0.22,0,222,0.22,2,2021-09-15 15:56:34.950
+AD_ID,STAT_TIME_HOUR,COST_PER_CONVERSION,CPC,VIDEO_PLAY_ACTIONS,CONVERSION_RATE,VIDEO_VIEWS_P_75,RESULT,VIDEO_VIEWS_P_50,IMPRESSIONS,COMMENTS,REAL_TIME_COST_PER_RESULT,CONVERSION,REAL_TIME_RESULT,VIDEO_VIEWS_P_100,SHARES,REAL_TIME_CONVERSION_RATE,COST_PER_SECONDARY_GOAL_RESULT,SECONDARY_GOAL_RESULT_RATE,CLICKS,COST_PER_1000_REACHED,VIDEO_VIEWS_P_25,REACH,REAL_TIME_COST_PER_CONVERSION,PROFILE_VISITS_RATE,AVERAGE_VIDEO_PLAY,PROFILE_VISITS,CPM,CTR,VIDEO_WATCHED_2_S,FOLLOWS,RESULT_RATE,VIDEO_WATCHED_6_S,SECONDARY_GOAL_RESULT,COST_PER_RESULT,AVERAGE_VIDEO_PLAY_PER_USER,REAL_TIME_RESULT_RATE,SPEND,LIKES,REAL_TIME_CONVERSION,TOTAL_PURCHASE_VALUE,TOTAL_SALES_LEAD_VALUE,_FIVETRAN_SYNCED
+1,2021-09-15 10:00:00,0,0,22,0,2,0,2,23,0,0,0,0,0,0,0,-,-,0,0,22,0,0,0,2.22,0,32.22,0,2,0,0,22,-,0,0,0,2.22,0,0,0.00,0.00,2021-09-15 15:56:34.862
+2,2021-09-15 10:00:00,0,0,33,0,0,0,0,22,0,0,0,0,0,0,0,-,-,0,0,3,0,0,0,2.22,0,2.22,0,2,0,0,2,-,0,0,0,0.22,0,0,0.01,0.01,2021-09-15 15:56:34.953
+3,2021-09-15 10:00:00,0,0,2,0,0,0,0,2,0,0,0,0,0,0,0,-,-,0,0,0,0,0,0,2.22,0,0,0,0,0,0,0,-,0,0,0,0,0,0,0.00,0.00,2021-09-15 15:56:34.923
+4,2021-09-15 10:00:00,0.22,0.22,22,222,2,2,2,22,0,0.22,2,2,2,0,200,-,-,2,0,2,0,0.22,0,2.22,0,22.22,2.22,2,0,100,2,-,0.22,0,222,0.22,2,2,0.00,0.00,2021-09-15 15:56:34.950

integration_tests/seeds/tiktok_adgroup_report_hourly_data.csv

@@ -1,5 +1,5 @@
-ADGROUP_ID,STAT_TIME_HOUR,COST_PER_CONVERSION,REAL_TIME_CONVERSION,CPC,VIDEO_PLAY_ACTIONS,CONVERSION_RATE,VIDEO_VIEWS_P_75,RESULT,VIDEO_VIEWS_P_50,IMPRESSIONS,COMMENTS,REAL_TIME_COST_PER_RESULT,CONVERSION,REAL_TIME_RESULT,VIDEO_VIEWS_P_100,SHARES,REAL_TIME_CONVERSION_RATE,COST_PER_SECONDARY_GOAL_RESULT,SECONDARY_GOAL_RESULT_RATE,CLICKS,COST_PER_1000_REACHED,VIDEO_VIEWS_P_25,REACH,REAL_TIME_COST_PER_CONVERSION,PROFILE_VISITS_RATE,AVERAGE_VIDEO_PLAY,PROFILE_VISITS,CPM,CTR,VIDEO_WATCHED_2_S,FOLLOWS,RESULT_RATE,VIDEO_WATCHED_6_S,SECONDARY_GOAL_RESULT,COST_PER_RESULT,AVERAGE_VIDEO_PLAY_PER_USER,REAL_TIME_RESULT_RATE,SPEND,LIKES,_FIVETRAN_SYNCED
-1,2021-09-15 5:00:00,0,0,1.77,555,0,33,0,38,32,0,0,0,0,3,0,0,-,-,2,18.44,150,333,0,0,5,0,17.99,1.22,333,0,0,133,-,0,4.66,0,7.6,3,2021-09-15 15:57:22.614
-2,2021-09-15 7:00:00,1.33,7,0.76,1111,39,33,5,33,3235,0,4.123,5,3,44,0,43.22,-,-,34,0,150,0,1.75,0,3.33,0,13.66,1.44,333,0,36.77,233,-,2.3342,0,38.88,17.22,3,2021-09-15 15:57:22.606
-3,2021-09-15 7:00:00,3.23,7,1,2222,33,33,7,443,3235,0,2.353,5,7,55,0,22,-,-,33,0,333,0,4.44,0,4.22,0,11.88,1.55,334,0,34,233,-,3.6212,0,22,25.33,4,2021-09-15 15:57:22.616
-4,2021-09-15 4:00:00,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-,-,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-,0,0,0,0,0,2021-09-15 15:57:22.616
+ADGROUP_ID,STAT_TIME_HOUR,COST_PER_CONVERSION,CPC,VIDEO_PLAY_ACTIONS,CONVERSION_RATE,VIDEO_VIEWS_P_75,RESULT,VIDEO_VIEWS_P_50,IMPRESSIONS,COMMENTS,REAL_TIME_COST_PER_RESULT,CONVERSION,REAL_TIME_RESULT,VIDEO_VIEWS_P_100,SHARES,REAL_TIME_CONVERSION_RATE,COST_PER_SECONDARY_GOAL_RESULT,SECONDARY_GOAL_RESULT_RATE,CLICKS,COST_PER_1000_REACHED,VIDEO_VIEWS_P_25,REACH,REAL_TIME_COST_PER_CONVERSION,PROFILE_VISITS_RATE,AVERAGE_VIDEO_PLAY,PROFILE_VISITS,CPM,CTR,VIDEO_WATCHED_2_S,FOLLOWS,RESULT_RATE,VIDEO_WATCHED_6_S,SECONDARY_GOAL_RESULT,COST_PER_RESULT,AVERAGE_VIDEO_PLAY_PER_USER,REAL_TIME_RESULT_RATE,SPEND,LIKES,REAL_TIME_CONVERSION,TOTAL_PURCHASE_VALUE,TOTAL_SALES_LEAD_VALUE,_FIVETRAN_SYNCED
+1,2021-09-15 5:00:00,0,1.77,555,0,33,0,38,32,0,0,0,0,3,0,0,-,-,2,18.44,150,333,0,0,5,0,17.99,1.22,333,0,0,133,-,0,4.66,0,7.6,3,0,0.00,0.00,2021-09-15 15:57:22.614
+2,2021-09-15 7:00:00,1.33,0.76,1111,39,33,5,33,3235,0,4.123,2,3,44,0,43.22,-,-,34,0,150,0,1.75,0,3.33,0,13.66,1.44,333,0,36.77,233,-,2.3342,0,38.88,17.22,3,2,0.01,0.01,2021-09-15 15:57:22.606
+3,2021-09-15 7:00:00,3.23,1,2222,33,33,7,443,3235,0,2.353,0,7,55,0,22,-,-,33,0,333,0,4.44,0,4.22,0,11.88,1.55,334,0,34,233,-,3.6212,0,22,25.33,4,0,0.00,0.00,2021-09-15 15:57:22.616
+4,2021-09-15 4:00:00,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-,-,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-,0,0,0,0,0,0,0.00,0.00,2021-09-15 15:57:22.616

integration_tests/seeds/tiktok_campaign_report_hourly_data.csv

@@ -1,5 +1,5 @@
-CAMPAIGN_ID,STAT_TIME_HOUR,COST_PER_CONVERSION,REAL_TIME_CONVERSION,CPC,VIDEO_PLAY_ACTIONS,CONVERSION_RATE,VIDEO_VIEWS_P_75,RESULT,VIDEO_VIEWS_P_50,IMPRESSIONS,COMMENTS,REAL_TIME_COST_PER_RESULT,CONVERSION,REAL_TIME_RESULT,VIDEO_VIEWS_P_100,SHARES,REAL_TIME_CONVERSION_RATE,COST_PER_SECONDARY_GOAL_RESULT,SECONDARY_GOAL_RESULT_RATE,CLICKS,COST_PER_1000_REACHED,VIDEO_VIEWS_P_25,REACH,REAL_TIME_COST_PER_CONVERSION,PROFILE_VISITS_RATE,AVERAGE_VIDEO_PLAY,PROFILE_VISITS,CPM,CTR,VIDEO_WATCHED_2_S,FOLLOWS,RESULT_RATE,VIDEO_WATCHED_6_S,SECONDARY_GOAL_RESULT,COST_PER_RESULT,AVERAGE_VIDEO_PLAY_PER_USER,REAL_TIME_RESULT_RATE,SPEND,LIKES,_FIVETRAN_SYNCED
-1,2021-09-15 5:00:00,0,0,1.88,32322,0,222,222,222,22222,0,3.3235,0,23423,33,0,0,-,-,22,2.234,233,22413,0,0,2.22,0,2.35,0.33,2222,0,22.35,322,-,35.32,2.13,22.22,222.12,22,2021-09-15 15:58:05.904
-2,2021-09-15 4:00:00,0,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,-,-,0,22,1,4,0,0,3.334,0,22,0,2,0,0,2,-,3,2.35,0,0.22,2,2021-09-15 15:58:05.905
-3,2021-09-15 8:00:00,2.3,22,2.2,222222,222,222,22,787,12222,0,4.12312,22,33,222,2,22.2,-,-,222,0,2335,0,2.55,0,3.52,0,22.22,0.232,3322,0,33.22,2222,-,2.2222,0,22.2,222.22,22,2021-09-15 15:58:05.903
-4,2021-09-15 10:00:00,0,0,0,15,0,1,0,1,22,0,0,0,0,1,0,0,-,-,0,0,2,0,0,0,3.324,0,22,0,3,0,0,4,-,0,0,0,0.232,22,2021-09-15 15:58:05.903
+CAMPAIGN_ID,STAT_TIME_HOUR,COST_PER_CONVERSION,CPC,VIDEO_PLAY_ACTIONS,CONVERSION_RATE,VIDEO_VIEWS_P_75,RESULT,VIDEO_VIEWS_P_50,IMPRESSIONS,COMMENTS,REAL_TIME_COST_PER_RESULT,CONVERSION,REAL_TIME_RESULT,VIDEO_VIEWS_P_100,SHARES,REAL_TIME_CONVERSION_RATE,COST_PER_SECONDARY_GOAL_RESULT,SECONDARY_GOAL_RESULT_RATE,CLICKS,COST_PER_1000_REACHED,VIDEO_VIEWS_P_25,REACH,REAL_TIME_COST_PER_CONVERSION,PROFILE_VISITS_RATE,AVERAGE_VIDEO_PLAY,PROFILE_VISITS,CPM,CTR,VIDEO_WATCHED_2_S,FOLLOWS,RESULT_RATE,VIDEO_WATCHED_6_S,SECONDARY_GOAL_RESULT,COST_PER_RESULT,AVERAGE_VIDEO_PLAY_PER_USER,REAL_TIME_RESULT_RATE,SPEND,LIKES,REAL_TIME_CONVERSION,TOTAL_PURCHASE_VALUE,TOTAL_SALES_LEAD_VALUE,_FIVETRAN_SYNCED
+1,2021-09-15 5:00:00,0,1.88,32322,0,222,222,222,22222,0,3.3235,0,23423,33,0,0,-,-,22,2.234,233,22413,0,0,2.22,0,2.35,0.33,2222,0,22.35,322,-,35.32,2.13,22.22,222.12,22,0,0.00,0.00,2021-09-15 15:58:05.904
+2,2021-09-15 4:00:00,0,0,4,0,0,0,0,4,0,0,0,0,0,0,0,-,-,0,22,1,4,0,0,3.334,0,22,0,2,0,0,2,-,3,2.35,0,0.22,2,0,0.01,0.01,2021-09-15 15:58:05.905
+3,2021-09-15 8:00:00,2.3,2.2,222222,222,222,22,787,12222,0,4.12312,2,33,222,2,22.2,-,-,222,0,2335,0,2.55,0,3.52,0,22.22,0.232,3322,0,33.22,2222,-,2.2222,0,22.2,222.22,22,2,0.00,0.0,2021-09-15 15:58:05.903
+4,2021-09-15 10:00:00,0,0,15,0,1,0,1,22,0,0,0,0,1,0,0,-,-,0,0,2,0,0,0,3.324,0,22,0,3,0,0,4,-,0,0,0,0.232,22,0,0.00,0.0,2021-09-15 15:58:05.903

integration_tests/tests/consistency/consistency_ad_group_report.sql

@@ -0,0 +1,45 @@
+{{ config(
+    tags="fivetran_validations",
+    enabled=var('fivetran_validation_tests_enabled', false)
+) }}
+
+with prod as (
+    select
+        ad_group_id,
+        sum(clicks) as clicks, 
+        sum(impressions) as impressions,
+        sum(spend) as spend
+    from {{ target.schema }}_tiktok_ads_prod.tiktok_ads__ad_group_report
+    group by 1
+),
+
+dev as (
+    select
+        ad_group_id,
+        sum(clicks) as clicks, 
+        sum(impressions) as impressions,
+        sum(spend) as spend
+    from {{ target.schema }}_tiktok_ads_dev.tiktok_ads__ad_group_report
+    group by 1
+),
+
+final as (
+    select 
+        prod.ad_group_id,
+        prod.clicks as prod_clicks,
+        dev.clicks as dev_clicks,
+        prod.impressions as prod_impressions,
+        dev.impressions as dev_impressions,
+        prod.spend as prod_spend,
+        dev.spend as dev_spend
+    from prod
+    full outer join dev 
+        on dev.ad_group_id = prod.ad_group_id
+)
+
+select *
+from final
+where
+    abs(prod_clicks - dev_clicks) >= .01
+    or abs(prod_impressions - dev_impressions) >= .01
+    or abs(prod_spend - dev_spend) >= .01

integration_tests/tests/consistency/consistency_ad_report.sql

@@ -0,0 +1,45 @@
+{{ config(
+    tags="fivetran_validations",
+    enabled=var('fivetran_validation_tests_enabled', false)
+) }}
+
+with prod as (
+    select
+        ad_id,
+        sum(clicks) as clicks, 
+        sum(impressions) as impressions,
+        sum(spend) as spend
+    from {{ target.schema }}_tiktok_ads_prod.tiktok_ads__ad_report
+    group by 1
+),
+
+dev as (
+    select
+        ad_id,
+        sum(clicks) as clicks, 
+        sum(impressions) as impressions,
+        sum(spend) as spend
+    from {{ target.schema }}_tiktok_ads_dev.tiktok_ads__ad_report
+    group by 1
+),
+
+final as (
+    select 
+        prod.ad_id,
+        prod.clicks as prod_clicks,
+        dev.clicks as dev_clicks,
+        prod.impressions as prod_impressions,
+        dev.impressions as dev_impressions,
+        prod.spend as prod_spend,
+        dev.spend as dev_spend
+    from prod
+    full outer join dev 
+        on dev.ad_id = prod.ad_id
+)
+
+select *
+from final
+where
+    abs(prod_clicks - dev_clicks) >= .01
+    or abs(prod_impressions - dev_impressions) >= .01
+    or abs(prod_spend - dev_spend) >= .01

integration_tests/tests/consistency/consistency_advertiser_report.sql

@@ -0,0 +1,45 @@
+{{ config(
+    tags="fivetran_validations",
+    enabled=var('fivetran_validation_tests_enabled', false)
+) }}
+
+with prod as (
+    select
+        advertiser_id,
+        sum(clicks) as clicks, 
+        sum(impressions) as impressions,
+        sum(spend) as spend
+    from {{ target.schema }}_tiktok_ads_prod.tiktok_ads__advertiser_report
+    group by 1
+),
+
+dev as (
+    select
+        advertiser_id,
+        sum(clicks) as clicks, 
+        sum(impressions) as impressions,
+        sum(spend) as spend
+    from {{ target.schema }}_tiktok_ads_dev.tiktok_ads__advertiser_report
+    group by 1
+),
+
+final as (
+    select 
+        prod.advertiser_id,
+        prod.clicks as prod_clicks,
+        dev.clicks as dev_clicks,
+        prod.impressions as prod_impressions,
+        dev.impressions as dev_impressions,
+        prod.spend as prod_spend,
+        dev.spend as dev_spend
+    from prod
+    full outer join dev 
+        on dev.advertiser_id = prod.advertiser_id
+)
+
+select *
+from final
+where
+    abs(prod_clicks - dev_clicks) >= .01
+    or abs(prod_impressions - dev_impressions) >= .01
+    or abs(prod_spend - dev_spend) >= .01