diff --git a/website/docs/sql-reference/joins/sql-inner-join.md b/website/docs/sql-reference/joins/sql-inner-join.md
index e1c2d6151c8..951e3675bc7 100644
--- a/website/docs/sql-reference/joins/sql-inner-join.md
+++ b/website/docs/sql-reference/joins/sql-inner-join.md
@@ -66,5 +66,5 @@ Because there’s no `user_id` = 4 in Table A and no `user_id` = 2 in Table B, r
 
 ## SQL inner join use cases
 
-There are probably countless scenarios where you’d want to inner join multiple tables together—perhaps you have some really nicely structured tables with the exact same <Term id="primary-key">primary keys</Term> that should really just be one larger, wider table or you’re joining two tables together don’t want any null or missing column values if you used a left or right join—it’s all pretty dependent on your source data and end use cases. Where you will not (and should not) see inner joins is in [staging models](https://docs.getdbt.com/best-practices/how-we-structure/2-staging) that are used to clean and prep raw source data for analytics uses. Any joins in your dbt projects should happen further downstream in [intermediate](https://docs.getdbt.com/best-practices/how-we-structure/3-intermediate) and [mart models](https://docs.getdbt.com/best-practices/how-we-structure/4-marts) to improve modularity and DAG cleanliness.
+There are probably countless scenarios where you’d want to inner join multiple tables together—perhaps you have some really nicely structured tables with the exact same <Term id="primary-key">primary keys</Term> that should really just be one larger, wider table or you’re joining two tables together don’t want any null or missing column values if you used a left or right join—it’s all pretty dependent on your source data and end use cases. Where you will not (and should not) see inner joins is in [staging models](/best-practices/how-we-structure/2-staging) that are used to clean and prep raw source data for analytics uses. Any joins in your dbt projects should happen further downstream in [intermediate](/best-practices/how-we-structure/3-intermediate) and [mart models](/best-practices/how-we-structure/4-marts) to improve modularity and DAG cleanliness.