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Joaquin Ossa
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391
models/intermediate/kpis/int_kpis__product_guest_agg_metrics.sql
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391
models/intermediate/kpis/int_kpis__product_guest_agg_metrics.sql
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{% set yesterday = "(current_date - interval '1 day')" %}
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{% set metric_names = (
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"created_guest_journeys_not_cancelled",
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"started_guest_journeys_not_cancelled",
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"completed_guest_journeys_not_cancelled",
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"created_guest_journeys",
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"started_guest_journeys",
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"completed_guest_journeys",
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"total_csat_score_count",
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"deposit_fees_in_gbp",
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"waiver_payments_in_gbp",
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"checkin_cover_fees_in_gbp",
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"total_guest_payments_in_gbp",
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) %}
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with
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int_kpis__product_guest_daily_metrics as (
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select
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date_day,
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has_payment,
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has_id_check,
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main_billing_country_iso_3_per_deal,
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{% for metric in metric_names %}
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{{ metric }}{% if not loop.last %},{% endif %}
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{% endfor %}
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from {{ ref("int_kpis__product_guest_daily_metrics") }}
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),
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date_ranges as (
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select
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{{ yesterday }} as current_date,
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date_trunc('month', {{ yesterday }}) as current_month_start,
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date_trunc('week', {{ yesterday }}) as current_week_start, -- Start of the current week
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date_trunc('week', {{ yesterday }} - interval '1 year') as py_week_start, -- Start of the same week last year
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date_trunc('week', {{ yesterday }} - interval '1 year')
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+ interval '1 day'
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* extract(
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dow from {{ yesterday }} - interval '1 day'
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) as py_week_current_date,
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date_trunc('week', {{ yesterday }} - interval '1 week') as pp_week_start, -- Start of the same week in the previous period
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date_trunc('month', {{ yesterday }} - interval '1 year') as py_month_start,
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date_trunc('year', {{ yesterday }}) as current_year_start,
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date_trunc('year', {{ yesterday }} - interval '1 year') as py_year_start,
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date_trunc('month', {{ yesterday }} - interval '1 month') as pp_month_start,
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{{ yesterday }} - interval '1 year' as py_current_date,
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{{ yesterday }} - interval '1 month' as pm_current_date,
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{{ yesterday }} - interval '1 week' as pw_current_date,
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extract(day from {{ yesterday }}) as current_day_of_month
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),
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aggregated_metrics as (
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{% for metric in metric_names %}
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select
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'{{ metric }}' as metric,
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has_payment,
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has_id_check,
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main_billing_country_iso_3_per_deal,
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'YTD' as timeframe,
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sum(
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case
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when date_day between dr.current_year_start and {{ yesterday }}
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then dm.{{ metric }}
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end
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) as current_value,
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sum(
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case
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when date_day between dr.py_year_start and dr.py_current_date
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then dm.{{ metric }}
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end
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) as py_value,
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sum(
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case
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when date_day between dr.py_year_start and dr.py_current_date
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then dm.{{ metric }}
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end
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) as pp_value
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from int_kpis__product_guest_daily_metrics dm, date_ranges dr
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where extract(day from date_day) <= dr.current_day_of_month
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group by
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metric, has_payment, has_id_check, main_billing_country_iso_3_per_deal
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union all
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select
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'{{ metric }}' as metric,
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has_payment,
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has_id_check,
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main_billing_country_iso_3_per_deal,
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'MTD' as timeframe,
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sum(
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case
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when date_day between dr.current_month_start and {{ yesterday }}
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then dm.{{ metric }}
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end
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) as current_value,
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sum(
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case
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when date_day between dr.py_month_start and dr.py_current_date
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then dm.{{ metric }}
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end
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) as py_value,
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sum(
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case
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when date_day between dr.pp_month_start and dr.pm_current_date
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then dm.{{ metric }}
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end
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) as pp_value
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from int_kpis__product_guest_daily_metrics dm, date_ranges dr
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where extract(day from date_day) <= dr.current_day_of_month
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group by
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metric, has_payment, has_id_check, main_billing_country_iso_3_per_deal
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union all
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select
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'{{ metric }}' as metric,
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has_payment,
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has_id_check,
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main_billing_country_iso_3_per_deal,
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'WTD' as timeframe,
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sum(
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case
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when date_day between dr.current_week_start and {{ yesterday }}
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then dm.{{ metric }}
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end
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) as current_value,
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sum(
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case
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when date_day between dr.py_week_start and py_week_current_date
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then dm.{{ metric }}
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end
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) as py_value,
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sum(
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case
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when date_day between dr.pp_week_start and dr.pw_current_date
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then dm.{{ metric }}
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end
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) as pp_value
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from int_kpis__product_guest_daily_metrics dm, date_ranges dr
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group by
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metric, has_payment, has_id_check, main_billing_country_iso_3_per_deal
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{% if not loop.last %}
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union all
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{% endif %}
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{% endfor %}
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),
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metric_values as (
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select
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date_day,
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has_payment,
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has_id_check,
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main_billing_country_iso_3_per_deal,
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created_guest_journeys_not_cancelled,
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completed_guest_journeys_not_cancelled,
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-- Calculate the relevant sums for different timeframes
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sum(
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case
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when date_day between dr.current_year_start and {{ yesterday }}
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then created_guest_journeys_not_cancelled
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end
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) as ytd_created,
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sum(
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case
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when date_day between dr.current_year_start and {{ yesterday }}
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then completed_guest_journeys_not_cancelled
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end
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) as ytd_completed,
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sum(
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case
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when date_day between dr.py_year_start and dr.py_current_date
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then created_guest_journeys_not_cancelled
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end
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) as py_created,
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sum(
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case
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when date_day between dr.py_year_start and dr.py_current_date
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then completed_guest_journeys_not_cancelled
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end
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) as py_completed,
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sum(
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case
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when date_day between dr.py_year_start and dr.py_current_date
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then created_guest_journeys_not_cancelled
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end
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) as pp_created,
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sum(
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case
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when date_day between dr.py_year_start and dr.py_current_date
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then completed_guest_journeys_not_cancelled
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end
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) as pp_completed
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from int_kpis__product_guest_daily_metrics dm
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cross join date_ranges dr
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where extract(day from date_day) <= dr.current_day_of_month
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group by
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date_day, has_payment, has_id_check, main_billing_country_iso_3_per_deal
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),
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calculated_metrics as (
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select
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'guest_journey_conversion_rate' as metric,
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has_payment,
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has_id_check,
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main_billing_country_iso_3_per_deal,
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'YTD' as timeframe,
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case
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when ytd_created = 0 then null else ytd_completed / ytd_created
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end as current_value,
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case
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when py_created = 0 then null else py_completed / py_created
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end as py_value,
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case
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when pp_created = 0 then null else pp_completed / pp_created
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end as pp_value
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from metric_values
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)
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-- select
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-- 'guest_journey_conversion_rate' as metric,
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-- has_payment,
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-- has_id_check,
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-- main_billing_country_iso_3_per_deal,
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-- 'YTD' as timeframe,
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-- case
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-- when
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-- sum(
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-- case
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-- when
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-- date_day
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-- between dr.current_year_start and {{ yesterday }}
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-- then created_guest_journeys_not_cancelled
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-- end
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-- )
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-- = 0
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-- then null
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-- else
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-- sum(
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-- case
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-- when
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-- date_day
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-- between dr.current_year_start and {{ yesterday }}
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-- then completed_guest_journeys_not_cancelled
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-- end
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-- ) / sum(
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-- case
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-- when
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-- date_day
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-- between dr.current_year_start and {{ yesterday }}
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-- then created_guest_journeys_not_cancelled
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-- end
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-- )
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-- end as current_value,
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-- case
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-- when
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-- sum(
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-- case
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-- when
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-- date_day
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-- between dr.py_year_start and dr.py_current_date
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-- then created_guest_journeys_not_cancelled
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-- end
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-- )
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-- = 0
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-- then null
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-- else
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-- sum(
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-- case
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-- when
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-- date_day
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-- between dr.py_year_start and dr.py_current_date
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-- then completed_guest_journeys_not_cancelled
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-- end
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-- ) / sum(
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-- case
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-- when
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-- date_day
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-- between dr.py_year_start and dr.py_current_date
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-- then created_guest_journeys_not_cancelled
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-- end
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-- ) as py_value,
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-- case
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-- when
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-- sum(
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-- case
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-- when
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-- date_day
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-- between dr.py_year_start and dr.py_current_date
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-- then created_guest_journeys_not_cancelled
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-- end
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-- )
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-- = 0
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-- then null
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-- else
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-- sum(
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-- case
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-- when
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-- date_day
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-- between dr.py_year_start and dr.py_current_date
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-- then completed_guest_journeys_not_cancelled
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-- end
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-- ) / sum(
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-- case
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-- when
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-- date_day
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-- between dr.py_year_start and dr.py_current_date
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-- then created_guest_journeys_not_cancelled
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-- end
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-- ) as pp_value
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-- from int_kpis__product_guest_daily_metrics dm, date_ranges dr
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-- where extract(day from date_day) <= dr.current_day_of_month
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-- group by metric, has_payment, has_id_check, main_billing_country_iso_3_per_deal
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-- union all
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-- select
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-- 'guest_revenue_per_guest_journey_created' as metric,
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-- has_payment,
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-- has_id_check,
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-- main_billing_country_iso_3_per_deal,
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-- 'YTD' as timeframe,
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-- sum(
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-- case
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-- when date_day between dr.current_year_start and {{ yesterday }}
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-- then total_guest_payments_in_gbp
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-- end
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-- ) / sum(
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-- case
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-- when date_day between dr.current_year_start and {{ yesterday }}
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-- then created_guest_journeys_not_cancelled
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-- end
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-- ) as current_value,
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-- sum(
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-- case
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-- when date_day between dr.py_year_start and dr.py_current_date
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-- then total_guest_payments_in_gbp
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-- end
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-- ) / sum(
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-- case
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-- when date_day between dr.py_year_start and dr.py_current_date
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-- then completed_guest_journeys_not_cancelled
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-- end
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-- ) as py_value,
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-- sum(
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-- case
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-- when date_day between dr.py_year_start and dr.py_current_date
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-- then total_guest_payments_in_gbp
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-- end
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-- ) / sum(
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-- case
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-- when date_day between dr.py_year_start and dr.py_current_date
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-- then completed_guest_journeys_not_cancelled
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-- end
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-- ) as pp_value
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-- from int_kpis__product_guest_daily_metrics dm, date_ranges dr
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-- where extract(day from date_day) <= dr.current_day_of_month
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-- group by metric, has_payment, has_id_check, main_billing_country_iso_3_per_deal
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-- union all
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-- select
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-- 'csat_score' as metric,
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-- has_payment,
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-- has_id_check,
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-- main_billing_country_iso_3_per_deal,
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-- 'YTD' as timeframe,
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-- sum(
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-- case
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-- when date_day between dr.current_year_start and {{ yesterday }}
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-- then total_csat_score_count * average_csat_score
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-- end
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-- ) / sum(
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-- case
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-- when date_day between dr.current_year_start and {{ yesterday }}
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-- then total_csat_score_count
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-- end
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-- ) as current_value,
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-- sum(
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-- case
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-- when date_day between dr.py_year_start and dr.py_current_date
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-- then total_csat_score_count * average_csat_score
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-- end
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-- ) / sum(
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-- case
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-- when date_day between dr.py_year_start and dr.py_current_date
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-- then total_csat_score_count
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-- end
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-- ) as py_value,
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-- sum(
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-- case
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-- when date_day between dr.py_year_start and dr.py_current_date
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-- then total_csat_score_count * average_csat_score
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-- end
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-- ) / sum(
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-- case
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-- when date_day between dr.py_year_start and dr.py_current_date
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-- then total_csat_score_count
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-- end
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-- ) as pp_value
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-- from int_kpis__product_guest_daily_metrics dm, date_ranges dr
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-- where extract(day from date_day) <= dr.current_day_of_month
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-- group by metric, has_payment, has_id_check, main_billing_country_iso_3_per_deal
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-- )
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select *
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from aggregated_metrics
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