Adds Onboarding MRR
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3 changed files with 55 additions and 2 deletions
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@ -159,6 +159,16 @@
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"previous_YTD": "previous_ytd_total_revenue_churn_rate",
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"previous_YTD": "previous_ytd_total_revenue_churn_rate",
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"requires_invoicing_data": false,
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"requires_invoicing_data": false,
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},
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},
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{
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"id_metric": 17,
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"name": "Onboarding MRR",
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"current_month_MTD": "current_month_mtd_onboarding_mrr",
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"previous_month_EOM": "previous_month_eom_onboarding_mrr",
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"previous_year_MTD": "previous_year_mtd_onboarding_mrr",
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"current_YTD": "current_ytd_onboarding_mrr",
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"previous_YTD": "previous_ytd_onboarding_mrr",
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"requires_invoicing_data": false,
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},
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] %}
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] %}
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with
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with
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int_ytd_mtd_main_metrics_overview as (
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int_ytd_mtd_main_metrics_overview as (
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@ -40,6 +40,7 @@ with
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as current_month_mtd_total_revenue_churn_12m,
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as current_month_mtd_total_revenue_churn_12m,
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total_revenue_global_preceding_12_months
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total_revenue_global_preceding_12_months
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as current_month_mtd_total_revenue_global_12m,
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as current_month_mtd_total_revenue_global_12m,
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expected_mrr as current_month_mtd_onboarding_mrr,
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-- Previous Year (12 months ago), Month To Date Metrics --
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-- Previous Year (12 months ago), Month To Date Metrics --
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previous_year_total_revenue_in_gbp
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previous_year_total_revenue_in_gbp
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@ -66,6 +67,7 @@ with
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as previous_year_mtd_total_revenue_churn_12m,
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as previous_year_mtd_total_revenue_churn_12m,
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previous_year_total_revenue_global_preceding_12_months
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previous_year_total_revenue_global_preceding_12_months
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as previous_year_mtd_total_revenue_global_12m,
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as previous_year_mtd_total_revenue_global_12m,
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previous_year_expected_mrr as previous_year_mtd_onboarding_mrr,
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-- Previous Month, End Of Month Metrics --
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-- Previous Month, End Of Month Metrics --
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lag(total_revenue_in_gbp) over (
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lag(total_revenue_in_gbp) over (
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@ -109,7 +111,10 @@ with
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) as previous_month_eom_total_revenue_churn_12m,
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) as previous_month_eom_total_revenue_churn_12m,
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lag(total_revenue_global_preceding_12_months) over (
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lag(total_revenue_global_preceding_12_months) over (
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partition by dimension, dimension_value order by date
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partition by dimension, dimension_value order by date
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) as previous_month_eom_total_revenue_global_12m
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) as previous_month_eom_total_revenue_global_12m,
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lag(expected_mrr) over (
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partition by dimension, dimension_value order by date
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) as previous_month_eom_onboarding_mrr
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from int_mtd_vs_previous_year_metrics
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from int_mtd_vs_previous_year_metrics
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where
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where
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@ -188,6 +193,11 @@ with
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order by date
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order by date
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rows between unbounded preceding and current row
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rows between unbounded preceding and current row
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) as current_ytd_total_revenue_global_12m,
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) as current_ytd_total_revenue_global_12m,
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sum(current_month_mtd_onboarding_mrr) over (
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partition by financial_year, dimension, dimension_value
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order by date
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rows between unbounded preceding and current row
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) as current_ytd_onboarding_mrr,
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-- Specific treatment for live_deals as it is a counter
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-- Specific treatment for live_deals as it is a counter
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current_month_mtd_live_deals as current_ytd_live_deals,
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current_month_mtd_live_deals as current_ytd_live_deals,
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@ -257,6 +267,11 @@ with
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order by date
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order by date
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rows between unbounded preceding and current row
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rows between unbounded preceding and current row
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) as previous_ytd_total_revenue_global_12m,
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) as previous_ytd_total_revenue_global_12m,
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sum(previous_year_mtd_onboarding_mrr) over (
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partition by financial_year, dimension, dimension_value
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order by date
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rows between unbounded preceding and current row
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) as previous_ytd_onboarding_mrr,
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-- Specific treatment for live_deals as it is a counter
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-- Specific treatment for live_deals as it is a counter
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previous_year_mtd_live_deals as previous_ytd_live_deals
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previous_year_mtd_live_deals as previous_ytd_live_deals
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@ -1989,6 +1989,11 @@ models:
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description: |
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description: |
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Total revenue churn rate for the current month MTD.
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Total revenue churn rate for the current month MTD.
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- name: current_month_mtd_onboarding_mrr
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data_type: numeric
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description: |
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Total expected Onboarding MRR for the current month MTD.
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- name: previous_year_mtd_billable_bookings
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- name: previous_year_mtd_billable_bookings
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data_type: integer
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data_type: integer
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description: |
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description: |
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@ -2099,6 +2104,12 @@ models:
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Total revenue churn rate for the previous year
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Total revenue churn rate for the previous year
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(12 months ago) MTD.
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(12 months ago) MTD.
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- name: previous_year_mtd_onboarding_mrr
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data_type: numeric
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description: |
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Total expected Onboarding MRR for the previous year
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(12 months ago) MTD.
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- name: current_ytd_billable_bookings
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- name: current_ytd_billable_bookings
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data_type: integer
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data_type: integer
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description: |
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description: |
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@ -2207,6 +2218,11 @@ models:
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description: |
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description: |
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Total revenue churn rate for the current financial year YTD.
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Total revenue churn rate for the current financial year YTD.
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- name: current_ytd_onboarding_mrr
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data_type: numeric
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description: |
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Total expected Onboarding MRR for the current financial year YTD.
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- name: previous_ytd_billable_bookings
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- name: previous_ytd_billable_bookings
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data_type: integer
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data_type: integer
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description: |
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description: |
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@ -2316,6 +2332,12 @@ models:
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Total revenue churn rate for the previous
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Total revenue churn rate for the previous
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financial year YTD.
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financial year YTD.
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- name: previous_ytd_onboarding_mrr
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data_type: numeric
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description: |
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Total expected Onboarding MRR for the previous
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financial year YTD.
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- name: previous_month_eom_billable_bookings
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- name: previous_month_eom_billable_bookings
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data_type: integer
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data_type: integer
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description: |
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description: |
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@ -2421,7 +2443,7 @@ models:
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- name: previous_month_eom_total_revenue_global_12m
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- name: previous_month_eom_total_revenue_global_12m
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data_type: numeric
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data_type: numeric
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description: |
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description: |
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Total revenue generated globally in the last 12 months
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Total revenue generated globally in the last 12 months
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for the previous month, at the end of the month.
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for the previous month, at the end of the month.
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This is only used to compute the churn rate.
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This is only used to compute the churn rate.
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@ -2432,6 +2454,12 @@ models:
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Total revenue churn rate for the previous month,
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Total revenue churn rate for the previous month,
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at the end of the month.
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at the end of the month.
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- name: previous_month_eom_onboarding_mrr
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data_type: numeric
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description: |
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Total expected Onboarding MRR for the previous month,
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at the end of the month.
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- name: int_ytd_mtd_aggregated_main_metrics_overview
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- name: int_ytd_mtd_aggregated_main_metrics_overview
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description: |
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description: |
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This model provides a high-level overview of the main metrics for the month-to-date
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This model provides a high-level overview of the main metrics for the month-to-date
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