Merge pull request #4 from AK-Fivetran/patch-1

Replace relative links with absolute links

Author: fivetran-joemarkiewicz

README.md

@@ -16,12 +16,12 @@ This package produces three final output models, and is currently designed to wo
 
 | **model**                | **description**                                                                                                                                |
 | ------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------- |
-| [shopify_holistic_reporting__orders_attribution](models/shopify_holistic_reporting__orders_attribution.sql)             | Each record represents a unique Shopify order, enhanced with a customizable last-touch attribution model associating orders with Klaviyo flows and campaigns that customers interacted with. Includes dimensions like whether it is a new or repeat purchase in Shopify. See available customizations [here](https://github.com/fivetran/dbt_klaviyo#attribution-lookback-window). |
-| [shopify_holistic_reporting__daily_customer_metrics](models/shopify_holistic_reporting__daily_customer_metrics.sql)             | Each record represent a unique customer's daily activity attributed to a campaign or flow in Klaviyo. The grain is set at the customer-day-flow/campaign level. This model is enriched with both Shopify and Klaviyo metrics, such as the net revenue, taxes paid, discounts applied, and the counts of each type of interaction between the user and the campaign/flow. |
-| [shopify_holistic_reporting__customer_enhanced](models/shopify_holistic_reporting__customer_enhanced.sql)             | Each record represents a unique individual (based on email) that may exist in Shopify, Klaviyo, or both platforms. Enhanced with information coalesced across platforms, lifetime order metrics, and all-time interactions with email marketing campaigns and flows. |
+| [shopify_holistic_reporting__orders_attribution](https://github.com/fivetran/dbt_shopify_holistic_reporting/blob/main/models/shopify_holistic_reporting__orders_attribution.sql)             | Each record represents a unique Shopify order, enhanced with a customizable last-touch attribution model associating orders with Klaviyo flows and campaigns that customers interacted with. Includes dimensions like whether it is a new or repeat purchase in Shopify. See available customizations [here](https://github.com/fivetran/dbt_klaviyo#attribution-lookback-window). |
+| [shopify_holistic_reporting__daily_customer_metrics](https://github.com/fivetran/dbt_shopify_holistic_reporting/blob/main/models/shopify_holistic_reporting__daily_customer_metrics.sql)             | Each record represent a unique customer's daily activity attributed to a campaign or flow in Klaviyo. The grain is set at the customer-day-flow/campaign level. This model is enriched with both Shopify and Klaviyo metrics, such as the net revenue, taxes paid, discounts applied, and the counts of each type of interaction between the user and the campaign/flow. |
+| [shopify_holistic_reporting__customer_enhanced](https://github.com/fivetran/dbt_shopify_holistic_reporting/blob/main/models/shopify_holistic_reporting__customer_enhanced.sql)             | Each record represents a unique individual (based on email) that may exist in Shopify, Klaviyo, or both platforms. Enhanced with information coalesced across platforms, lifetime order metrics, and all-time interactions with email marketing campaigns and flows. |
 
 ### Opinionated Modelling Decisions
-If you would like a deeper explanation of the logic used by default in the dbt package you may reference the [DECISIONLOG](/DECISIONLOG.md).
+If you would like a deeper explanation of the logic used by default in the dbt package you may reference the [DECISIONLOG](https://github.com/fivetran/dbt_shopify_holistic_reporting/blob/main//DECISIONLOG.md).
 
 ## Installation Instructions
 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.