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3 changed files with 20 additions and 19 deletions
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@ -1,25 +1,22 @@
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with
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monthly_new_deals as (
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select
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date_trunc('MONTH', effective_deal_start_date_utc)::date as start_month,
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hubspot_listing_segmentation,
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count(id_deal) as number_of_new_deals
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from {{ ref("int_kpis__dimension_deals") }}
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group by 1, 2
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int_kpis__agg_daily_deals as (
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select date, dimension_value as hubspot_listing_segmentation, new_deals
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from {{ ref("int_kpis__agg_daily_deals") }}
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where dimension = 'by_number_of_listings'
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),
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onboarding_mrr_metrics as (
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select
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mom.date,
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'by_number_of_listings' as dimension,
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mom.hubspot_listing_segmentation as dimension_value,
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mnd.number_of_new_deals,
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ad.number_of_new_deals,
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mom.expected_mrr as expected_mrr_per_deal,
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mom.expected_mrr * mnd.number_of_new_deals as expected_mrr
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mom.expected_mrr * ad.number_of_new_deals as expected_mrr
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from {{ ref("int_monthly_onboarding_mrr_metrics") }} mom
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left join
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monthly_new_deals mnd
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on date_trunc('MONTH', mom.date)::date = mnd.start_month
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and mom.hubspot_listing_segmentation = mnd.hubspot_listing_segmentation
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int_kpis__agg_daily_deals ad
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on mom.date = ad.date
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and mom.hubspot_listing_segmentation = ad.hubspot_listing_segmentation
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where
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mom.main_billing_country_iso_3 = 'global'
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and mom.hubspot_listing_segmentation <> 'global'
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@ -28,14 +28,15 @@ with
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booked_days_per_deal as (
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select
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icuh.id_deal,
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icb.created_date_utc,
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lag(icb.created_date_utc, 1) over (
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partition by icuh.id_deal order by icb.created_date_utc asc
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hd.live_date_utc as created_date_utc,
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lag(hd.live_date_utc, 1) over (
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partition by icuh.id_deal order by hd.live_date_utc asc
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) as previous_booked_date
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from int_core__bookings icb
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inner join int_core__user_host icuh on icb.id_user_host = icuh.id_user_host
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inner join int_hubspot__deal hd on icuh.id_deal = hd.id_deal
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where icuh.id_deal is not null
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group by icuh.id_deal, icb.created_date_utc
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group by icuh.id_deal, hd.live_date_utc
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),
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deal_historic_booking_dates as (
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select
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@ -14,9 +14,11 @@ select
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coalesce(
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icd.main_billing_country_iso_3_per_deal, 'UNSET'
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) as main_billing_country_iso_3_per_deal,
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coalesce(
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icmas.active_accommodations_per_deal_segmentation, 'UNSET'
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) as active_accommodations_per_deal_segmentation,
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case
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when ldl.deal_lifecycle_state = '01-New'
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then coalesce(dd.hubspot_listing_segmentation, 'UNSET')
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else coalesce(icmas.active_accommodations_per_deal_segmentation, 'UNSET')
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end as active_accommodations_per_deal_segmentation,
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-- Metrics --
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count(
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distinct case
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@ -66,6 +68,7 @@ select
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) as deals_booked_in_12_months
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from {{ ref("int_kpis__lifecycle_daily_deal") }} as ldl
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left join {{ ref("int_core__deal") }} as icd on ldl.id_deal = icd.id_deal
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left join {{ ref("int_kpis__dimension_deals") }} as dd on ldl.id_deal = dd.id_deal
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left join
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{{ ref("int_kpis__dimension_daily_accommodation") }} as icmas
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on ldl.id_deal = icmas.id_deal
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