Changelog of the 'Ecom Data Model' template.

Revised logic for intermediate and standard objects: We have revised the logic for intermediate and standard objects.
Added profiling to the user object: Profiling has been added to the user object based on the standard five identifiers: userId, phone, email, clientId, and owoxId
Integrated expense attribution within the model: Expense allocation has been integrated within the model, allowing for understanding which expenses are allocated to sessions and which are not. This helps in future datamart construction to show unattributed expenses separately, ensuring accurate total expenses (not just those allocated to sessions).
Optimized collection of standard attribution models: We have optimized the collection of standard attribution models within the model. You can now set a source / medium / campaign exclusion list in the variables, which excludes sources from value allocation for standard attribution models. It works for both direct matches and inclusions.
google / cpc - excludes all sessions with source/medium 'google / cpc'.
/ .*organic*. - excludes all sessions with medium including 'organic'.
facebook / / .*brand*. - excludes all sessions with source 'facebook', and 'campaign', containing 'brand'.
Exclusion rules are listed with the "|" symbol.
Simultaneous calculation with and without excluded sources: Standard attribution models now include simultaneous calculations with and without excluded sources. This allows for viewing the overall value brought by channels and how value is allocated to managed channels.
CRM data integration option: We have added the option to use the model with or without CRM data. If using CRM data, you must first write custom code to standardize CRM data into a unified table. 
Added FBA attribution calculation: FBA attribution calculation has been added based on the standard funnel (visit - detail - add_to_cart - checkout - purchase).
Added validation operations: We have added validation operations to check transaction matching, value allocation across different attribution models, and profiling of identifiers.

A new template was added. 

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