MRR change

models/intermediate/cross/int_monthly_onboarding_mrr_per_deal.sql

@@ -20,7 +20,7 @@ with
     )
 -- Calculate expected MRR per deal by each dimension
 select
-    m.date,
+    (date_trunc('month', m.date) + interval '2 month' - interval '1 day')::date as date,
     'by_number_of_listings' as dimension,
     d.hubspot_listing_segmentation as dimension_value,
     sum(coalesce(m.total_revenue_in_gbp, 0)) / count(*) as expected_mrr_per_deal
@@ -36,7 +36,7 @@ where d.hubspot_listing_segmentation <> 'UNSET'
 group by 1, 2, 3
 union all
 select
-    m.date,
+    (date_trunc('month', m.date) + interval '2 month' - interval '1 day')::date as date,
     'by_billing_country' as dimension,
     d.main_billing_country_iso_3_per_deal as dimension_value,
     sum(coalesce(m.total_revenue_in_gbp, 0)) / count(*) as expected_mrr_per_deal
@@ -52,7 +52,7 @@ where d.hubspot_listing_segmentation <> 'UNSET'
 group by 1, 2, 3
 union all
 select
-    m.date,
+    (date_trunc('month', m.date) + interval '2 month' - interval '1 day')::date as date,
     'global' as dimension,
     'global' as dimension_value,
     sum(coalesce(m.total_revenue_in_gbp, 0)) / count(*) as expected_mrr_per_deal

models/intermediate/cross/schema.yml

@@ -1712,8 +1712,8 @@ models:
       "This table provides data on the Onboarding Monthly Recurring Revenue (MRR). 
       The Onboarding MRR is an estimate of the expected monthly revenue generated by 
       each new deal. It is calculated by taking the total revenue generated by all 
-      active accounts over the last 12 months and dividing it by the number of active 
-      months for each account."
+      active accounts over the last 12 previous months and dividing it by the number
+      of active months for each account."
 
     data_tests:
       - dbt_utils.unique_combination_of_columns: