51 lines
2.2 KiB
SQL
51 lines
2.2 KiB
SQL
with
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deal_attributes as (
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select *
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from {{ ref("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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monthly_revenue_per_number_of_properties as (
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select
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date_trunc('month', m.date)::date as metric_month,
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coalesce(
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d.main_billing_country_iso_3_per_deal, 'global'
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) as main_billing_country_iso_3,
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coalesce(
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d.hubspot_listing_segmentation, 'global'
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) as hubspot_listing_segmentation,
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count(*) as deals_active_in_month,
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sum(coalesce(m.total_revenue_in_gbp, 0)) as total_revenue_in_gbp
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from {{ ref("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) >= d.effective_deal_start_month
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and date_trunc('month', m.date)
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<= coalesce(d.effective_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
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rollup (
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date_trunc('month', m.date)::date,
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d.hubspot_listing_segmentation,
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d.main_billing_country_iso_3_per_deal
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)
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having date_trunc('month', m.date)::date is not null
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)
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select
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(r.metric_month - interval '1 day')::date as date,
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r.main_billing_country_iso_3,
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r.hubspot_listing_segmentation,
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sum(coalesce(m.total_revenue_in_gbp, 0)) as total_revenue_in_gbp,
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sum(m.deals_active_in_month) as total_active_months,
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sum(coalesce(m.total_revenue_in_gbp, 0))
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/ sum(m.deals_active_in_month) as expected_mrr
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from monthly_revenue_per_number_of_properties m
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inner join
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monthly_revenue_per_number_of_properties r
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on r.metric_month > m.metric_month
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and r.metric_month <= m.metric_month + interval '12 months'
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and r.hubspot_listing_segmentation = m.hubspot_listing_segmentation
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and r.main_billing_country_iso_3 = m.main_billing_country_iso_3
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group by r.metric_month, r.hubspot_listing_segmentation, r.main_billing_country_iso_3
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