Trend Analysis - Weekly

Trend Analysis - Weekly pipeline can be used to request and retrieve the weekly event trends in a specified duration. You can use this pipeline to get an aggregated view of metrics for users, events, and campaigns, for analyzing your user engagement and guide product decisions. Read more about this here

Configuring the Credentials

Select the account credentials which has access to relevant CleverTap data from the dropdown menu & Click Next

Credentials not listed in dropdown ?: Click on + Add New for adding new credentials

All accounts which your credentials have access to should be available here. If they are not, please check the credentials selected / configured by you.

Data Pipelines Details

Data Pipeline: Select Trend Analysis - Weekly from the dropdown

Setting Parameters

Parameter Description Values

Parameter	Description	Values
Standard Events	*Required* Standard Events are events that are recorded automatically after you integrate CleverTaps’s SDK. Select one or more standard events from the dropdown	{UTM Visited, App Launched, Notification Viewed, App Uninstalled, App Installed, Notification Clicked, Push Impressions, Notification Delivered, Notification Replied, Reply Sent, Identity Set, Identity Error, Identity Reset, Experiment Rendered, App Version Changed, Reachable By, Channel Unsubscribed, Geocluster Entered, Geocluster Exited, AB Experiment Rendered, AB Experiment Rolled Out, AB Experiment Stopped, AB Experiment Disqualified, Push Unregistered, Notification Sent, Charged, Checkout Updated, Checkout Created, Order Placed, Continue to payment button, Order Status Update, Category Viewed, Page Browsed, Product Viewed, Added To Cart, Customer Logged In, Searched Product, Removed From Cart, Customer Registered, Customer Logged Out, Subscribed to Newsletter}
Custom Events	*Optional, Enter seperated by commas* Custom Events are events defined and tracked by user. Enter custom event names seperated by commas	string (Example: “App Launched, choseNewFavoriteFood”)
No of Days	*Required* Number of days for which you wish to get the data in each run.	Integer value (Recommended value 7)
Breakdowns	*Required* The breakdown type for which the returned data trends need to be grouped. Select 'Unique User' to return trends of profiles instead of events.	{Events, Unique User}
Insert Mode	*Required* This refers to the manner in which data will get updated in the data warehouse, with 'Delete' selected, the data will be upserted (only new records or records with changes) and with 'Append' selected, all data fetched will be inserted. Selecting 'Replace' will ensure the table is dropped and recreated with fresh data on each run. Recommended to use "Upsert" option unless there is a specific requirement.	`Upsert`, `Append`, `Replace` *Default Value:* UPSERT

Standard Events

Required

Standard Events are events that are recorded automatically after you integrate CleverTaps’s SDK. Select one or more standard events from the dropdown

{UTM Visited, App Launched, Notification Viewed, App Uninstalled, App Installed, Notification Clicked, Push Impressions, Notification Delivered, Notification Replied, Reply Sent, Identity Set, Identity Error, Identity Reset, Experiment Rendered, App Version Changed, Reachable By, Channel Unsubscribed, Geocluster Entered, Geocluster Exited, AB Experiment Rendered, AB Experiment Rolled Out, AB Experiment Stopped, AB Experiment Disqualified, Push Unregistered, Notification Sent, Charged, Checkout Updated, Checkout Created, Order Placed, Continue to payment button, Order Status Update, Category Viewed, Page Browsed, Product Viewed, Added To Cart, Customer Logged In, Searched Product, Removed From Cart, Customer Registered, Customer Logged Out, Subscribed to Newsletter}

Custom Events

Optional, Enter seperated by commas

Custom Events are events defined and tracked by user. Enter custom event names seperated by commas

string (Example: “App Launched, choseNewFavoriteFood”)

No of Days

Required

Number of days for which you wish to get the data in each run.

Integer value (Recommended value 7)

Breakdowns

Required

The breakdown type for which the returned data trends need to be grouped. Select 'Unique User' to return trends of profiles instead of events.

{Events, Unique User}

Insert Mode

Required

This refers to the manner in which data will get updated in the data warehouse, with 'Delete' selected, the data will be upserted (only new records or records with changes) and with 'Append' selected, all data fetched will be inserted. Selecting 'Replace' will ensure the table is dropped and recreated with fresh data on each run. Recommended to use "Upsert" option unless there is a specific requirement.

Upsert, Append, Replace

Default Value: UPSERT

Datapipeline Scheduling

Scheduling specifies the frequency with which data will get updated in the data warehouse. You can choose between Manual Run, Normal Scheduling or Advance Scheduling.

Manual Run: If scheduling is not required, you can use the toggle to run the pipeline manually.
Normal Scheduling: Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.
Advance Scheduling: Set schedules fine-grained at the level of Months, Days, Hours, and Minutes.

Detailed explanation on scheduling of pipelines can be found here

Dataset & Name

Dataset Name: Key in the Dataset Name(also serves as the table name in your data warehouse).Keep in mind, that the name should be unique across the account and the data source. Special characters (except underscore _) and blank spaces are not allowed. It is best to follow a consistent naming scheme for future search to locate the tables.
Dataset Description: Enter a short description (optional) describing the dataset being fetched by this particular pipeline.
Notifications: Choose the events for which you’d like to be notified: whether "ERROR ONLY" or "ERROR AND SUCCESS".

Once you have finished click on Finish to save it. Read more about naming and saving your pipelines including the option to save them as templates here

Still have Questions?

We’ll be happy to help you with any questions you might have! Send us an email at info@datachannel.co.

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