72 lines
2.9 KiB
SQL
72 lines
2.9 KiB
SQL
with
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int_monthly_aggregated_metrics_history_by_deal as (
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select
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(date_trunc('month', date) + interval '2 month' - interval '1 day')::date
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as next_month_end_date,
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*
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from {{ ref("int_monthly_aggregated_metrics_history_by_deal") }}
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),
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int_kpis__dimension_deals as (select * from {{ ref("int_kpis__dimension_deals") }}),
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deal_attributes as (
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select
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id_deal,
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coalesce(
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main_billing_country_iso_3_per_deal, 'UNSET'
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) as main_billing_country_iso_3_per_deal,
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effective_deal_start_month,
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hubspot_deal_cancellation_month,
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coalesce(
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hubspot_listing_segmentation, 'UNSET'
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) as hubspot_listing_segmentation
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from int_kpis__dimension_deals
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-- Exclude deals without live dates
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where effective_deal_start_date_utc is not null
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)
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-- Calculate expected MRR per deal by each dimension
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select
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m.next_month_end_date as date,
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'by_number_of_listings' as dimension,
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d.hubspot_listing_segmentation as dimension_value,
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sum(coalesce(m.total_revenue_in_gbp, 0)) / count(*) as expected_mrr_per_deal
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from int_monthly_aggregated_metrics_history_by_deal m
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inner join
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deal_attributes d
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on m.id_deal = d.id_deal
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and date_trunc('month', m.date) >= date_trunc('month', d.effective_deal_start_month)
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and date_trunc('month', m.date)
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<= coalesce(d.hubspot_deal_cancellation_month, '2099-01-01')
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and date_trunc('month', m.date)::date <> date_trunc('month', now())::date
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where d.hubspot_listing_segmentation <> 'UNSET'
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group by 1, 2, 3
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union all
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select
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m.next_month_end_date as date,
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'by_billing_country' as dimension,
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d.main_billing_country_iso_3_per_deal as dimension_value,
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sum(coalesce(m.total_revenue_in_gbp, 0)) / count(*) as expected_mrr_per_deal
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from int_monthly_aggregated_metrics_history_by_deal m
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inner join
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deal_attributes d
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on m.id_deal = d.id_deal
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and date_trunc('month', m.date) >= date_trunc('month', d.effective_deal_start_month)
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and date_trunc('month', m.date)
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<= coalesce(d.hubspot_deal_cancellation_month, '2099-01-01')
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and date_trunc('month', m.date)::date <> date_trunc('month', now())::date
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where d.hubspot_listing_segmentation <> 'UNSET'
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group by 1, 2, 3
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union all
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select
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m.next_month_end_date as date,
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'global' as dimension,
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'global' as dimension_value,
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sum(coalesce(m.total_revenue_in_gbp, 0)) / count(*) as expected_mrr_per_deal
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from int_monthly_aggregated_metrics_history_by_deal m
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inner join
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deal_attributes d
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on m.id_deal = d.id_deal
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and date_trunc('month', m.date) >= date_trunc('month', d.effective_deal_start_month)
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and date_trunc('month', m.date)
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<= coalesce(d.hubspot_deal_cancellation_month, '2099-01-01')
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and date_trunc('month', m.date)::date <> date_trunc('month', now())::date
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where d.hubspot_listing_segmentation <> 'UNSET'
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group by 1, 2, 3
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