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 > Note that all other end models (`salesforce__opportunity_enhanced`, `salesforce__opportunity_line_item_enhanced`, `salesforce__manager_performance`, `salesforce__owner_performance`, `salesforce__sales_snapshot`, and `salesforce__opportunity_daily_history`) will still materialize after a blanket `dbt run` but will be largely empty/null.
 
 ## (Optional) Step 4: Utilizing Salesforce History Mode records
-If you have Salesforce [History Mode](https://fivetran.com/docs/getting-started/feature/history-mode) enabled for your connector, we now include support for the `account`, `contact`, and `opportunity` tables directly. These staging models from our `dbt_salesforce_source` package flow into our daily history models. This will allow you access to your historical data for these tables while taking advantage of incremental loads to help with compute.
+If you have Salesforce [History Mode](https://fivetran.com/docs/using-fivetran/features#historymode) enabled for your connector, we now include support for the `account`, `contact`, and `opportunity` tables directly. These staging models from our `dbt_salesforce_source` package flow into our daily history models. This will allow you access to your historical data for these tables while taking advantage of incremental loads to help with compute.
 
 ### IMPORTANT: How To Update Your History Models
 To ensure maximum value for these history mode models and avoid messy historical data that could come with picking and choosing which fields you bring in, **all fields in your Salesforce history mode connector are being synced into your end staging models**. That means all custom fields you picked to sync are being brought in to the final models. [See our DECISIONLOG for more details on why we are bringing in all fields](https://github.com/fivetran/dbt_salesforce_source/blob/main/DECISIONLOG.md).