Weekly breakdown and line charts
This commit is contained in:
502
2026-01-02_query.sql
Normal file
502
2026-01-02_query.sql
Normal file
@ -0,0 +1,502 @@
|
||||
-- First establish some base parameters for our users
|
||||
WITH config AS (
|
||||
SELECT
|
||||
-- For now we're using this as our free-trial filter. We'll treat users
|
||||
-- that churn during this period differently since they likely haven't actually
|
||||
-- tried the software very much. We'll also use this to isolate feature usage
|
||||
-- from this period, as it's likely that user goals are different at this stage.
|
||||
14 AS short_term,
|
||||
-- This is our ~day74 cutoff. For users, we want to see patterns of usage here
|
||||
-- that might differ from those who either churn later or hang around for a while.
|
||||
-- For feature aggregates, this should represent the "serious" efforts to use ZenMaid.
|
||||
90 AS medium_term,
|
||||
-- This is a (in theory) rarer group of churned users that lasted beyond our day 74
|
||||
-- danger zone but still churned.
|
||||
-- Beyond this we'll consider anyone remaining a "success" (even if they churned at some
|
||||
-- point) since things like company closures, etc. start to come into play more
|
||||
-- frequently.
|
||||
-- For features, we'll look at this as features used in the company's day-to-day, and not
|
||||
-- evaluation attempts.
|
||||
360 AS long_term,
|
||||
-- We'll only look back a few years since we want to make fairish comparisons betwen users
|
||||
-- exposed to "modern" ZenMaid tools.
|
||||
CAST('2023-01-01' AS timestamp) AS date_cutoff
|
||||
),
|
||||
-- Then establish a standard core set of user data
|
||||
users_with_churn_stats AS (
|
||||
SELECT id, active, billing_state,
|
||||
DATE_TRUNC('month', created_at) AS month_created,
|
||||
created_at, free_trial_ends_at, updated_at,
|
||||
updated_at::date - created_at::date AS lifespan
|
||||
FROM users, config
|
||||
-- We'll only look at newish users.
|
||||
WHERE created_at >= config.date_cutoff
|
||||
),
|
||||
-- Next use that core data to extract the records we want to analyze
|
||||
-- and categorize them by date and status
|
||||
users_to_examine AS (
|
||||
-- First the users who exited just after the trial
|
||||
SELECT 'quick-exit' AS category, uwcs.*
|
||||
FROM users_with_churn_stats uwcs, config
|
||||
WHERE billing_state = 'CHURNED'
|
||||
AND lifespan <= config.short_term
|
||||
|
||||
UNION
|
||||
|
||||
-- Next, users who gave the tools some time but still left
|
||||
SELECT 'fair-trial' AS category, uwcs.*
|
||||
FROM users_with_churn_stats uwcs, config
|
||||
WHERE billing_state = 'CHURNED'
|
||||
AND lifespan < config.medium_term
|
||||
AND lifespan > config.short_term
|
||||
|
||||
UNION
|
||||
|
||||
-- Then some longer-time users who still churned.
|
||||
-- We'll cut this off after 6 months since afterwards
|
||||
-- company closures, etc. could factor in.
|
||||
|
||||
SELECT 'short-termer' AS category, uwcs.*
|
||||
FROM users_with_churn_stats uwcs, config
|
||||
WHERE billing_state = 'CHURNED'
|
||||
AND lifespan >= config.medium_term
|
||||
AND lifespan < config.long_term
|
||||
|
||||
UNION
|
||||
|
||||
-- Finally, people who are still kicking.
|
||||
-- This cohort is going to be a little wrong for older
|
||||
-- dates since it only includes those who are STILL around.
|
||||
SELECT 'long-termer' AS category, uwcs.*
|
||||
FROM users_with_churn_stats uwcs, config
|
||||
-- We could also filter this by the following if we wanted to look at current users:
|
||||
-- billing_state NOT IN ('CHURNED', 'ONBOARDING', 'UNKNOWN')
|
||||
-- ...but for a multi-year peek into history, we'll lose too many good users who left
|
||||
-- for other reasons like closures, etc.
|
||||
WHERE lifespan >= config.long_term
|
||||
),
|
||||
|
||||
-- Now we'll start pulling counts from our various core features to help check usage.
|
||||
-- We'll ALSO bucket these by the same eras we're using to split up our users.
|
||||
-- For example, things created in the short_term are probably less serious integration
|
||||
-- efforts - users are just poking around at the software to see if they want to give it a
|
||||
-- serious try.
|
||||
-- Medium-term (up to our day 74ish cutoff) is when users REALLY decide if they want to build
|
||||
-- a business around ZenMaid.
|
||||
-- Long-term should represent users who are actively using ZenMaid for their day-to-day operations.
|
||||
|
||||
-- Well add booking forms created by era
|
||||
booking_form_counts AS (
|
||||
-- Establish a summary of records with ages
|
||||
WITH summary AS (
|
||||
SELECT booking_forms.user_id, booking_forms.created_at::date - users.created_at::date AS created_age
|
||||
FROM config, booking_forms
|
||||
JOIN users ON booking_forms.user_id = users.id
|
||||
WHERE booking_forms.created_at >= config.date_cutoff
|
||||
AND users.created_at >= config.date_cutoff
|
||||
AND booking_forms.created_at <= users.created_at::date + config.long_term
|
||||
),
|
||||
-- Group by week for line charts
|
||||
weekly_counts AS (
|
||||
SELECT user_id,
|
||||
jsonb_object_agg(
|
||||
'week_' || weeks_in,
|
||||
weekly_count
|
||||
) AS weekly_counts,
|
||||
COUNT(*) AS total
|
||||
FROM (SELECT user_id, FLOOR(created_age / 7) AS weeks_in, COUNT(*) as weekly_count
|
||||
FROM summary
|
||||
GROUP BY user_id, weeks_in) by_weeks
|
||||
GROUP BY user_id
|
||||
),
|
||||
-- Group by era for bar charts
|
||||
bucket_counts AS (
|
||||
SELECT user_id,
|
||||
SUM(CASE WHEN created_age < config.short_term THEN 1 ELSE 0 END) AS short_term,
|
||||
SUM(CASE WHEN created_age >= config.short_term AND created_age < config.medium_term THEN 1 ELSE 0 END) AS medium_term,
|
||||
SUM(CASE WHEN created_age >= config.medium_term AND created_age < config.long_term THEN 1 ELSE 0 END) AS long_term,
|
||||
COUNT(*) AS total
|
||||
FROM config, summary
|
||||
GROUP BY user_id
|
||||
)
|
||||
-- Put it all together
|
||||
SELECT bucket_counts.*, weekly_counts.weekly_counts
|
||||
FROM bucket_counts JOIN weekly_counts ON weekly_counts.user_id = bucket_counts.user_id
|
||||
),
|
||||
-- Bookings made by era
|
||||
booking_counts AS (
|
||||
-- Establish a summary of records with ages
|
||||
WITH summary AS (
|
||||
SELECT booking_forms.user_id, bookings.created_at::date - users.created_at::date AS created_age
|
||||
FROM config,
|
||||
booking_forms
|
||||
JOIN users ON booking_forms.user_id = users.id
|
||||
JOIN bookings ON bookings.booking_form_id = booking_forms.id
|
||||
WHERE booking_forms.created_at >= config.date_cutoff
|
||||
AND bookings.created_at >= config.date_cutoff
|
||||
AND users.created_at >= config.date_cutoff
|
||||
),
|
||||
-- Group by week for line charts
|
||||
weekly_counts AS (
|
||||
SELECT user_id,
|
||||
jsonb_object_agg(
|
||||
'week_' || weeks_in,
|
||||
weekly_count
|
||||
) AS weekly_counts,
|
||||
COUNT(*) AS total
|
||||
FROM (
|
||||
SELECT user_id, FLOOR(created_age / 7) AS weeks_in, COUNT(*) as weekly_count
|
||||
FROM summary
|
||||
GROUP BY user_id, weeks_in) by_weeks
|
||||
GROUP BY user_id
|
||||
),
|
||||
-- Group by era for bar charts
|
||||
bucket_counts AS (
|
||||
SELECT user_id,
|
||||
SUM(CASE WHEN created_age < config.short_term THEN 1 ELSE 0 END) AS short_term,
|
||||
SUM(CASE WHEN created_age >= config.short_term AND created_age < config.medium_term THEN 1 ELSE 0 END) AS medium_term,
|
||||
SUM(CASE WHEN created_age >= config.medium_term AND created_age < config.long_term THEN 1 ELSE 0 END) AS long_term,
|
||||
COUNT(*) AS total
|
||||
FROM config, summary
|
||||
GROUP BY user_id
|
||||
)
|
||||
-- Put it all together
|
||||
SELECT bucket_counts.*, weekly_counts.weekly_counts
|
||||
FROM bucket_counts
|
||||
JOIN weekly_counts ON weekly_counts.user_id = bucket_counts.user_id
|
||||
),
|
||||
-- Employees added by era
|
||||
employee_counts AS (
|
||||
-- Establish a summary of records with ages
|
||||
WITH summary AS (
|
||||
SELECT employees.user_id, employees.created_at::date - users.created_at::date AS created_age
|
||||
FROM config, employees
|
||||
JOIN users ON employees.user_id = users.id
|
||||
WHERE employees.created_at >= config.date_cutoff
|
||||
AND users.created_at >= config.date_cutoff
|
||||
AND employees.created_at <= users.created_at::date + config.long_term
|
||||
),
|
||||
-- Group by week for line charts
|
||||
weekly_counts AS (
|
||||
SELECT user_id,
|
||||
jsonb_object_agg(
|
||||
'week_' || weeks_in,
|
||||
weekly_count
|
||||
) AS weekly_counts,
|
||||
COUNT(*) AS total
|
||||
FROM (SELECT user_id, FLOOR(created_age / 7) AS weeks_in, COUNT(*) as weekly_count
|
||||
FROM summary
|
||||
GROUP BY user_id, weeks_in) by_weeks
|
||||
GROUP BY user_id
|
||||
),
|
||||
-- Group by era for bar charts
|
||||
bucket_counts AS (
|
||||
SELECT user_id,
|
||||
SUM(CASE WHEN created_age < config.short_term THEN 1 ELSE 0 END) AS short_term,
|
||||
SUM(CASE WHEN created_age >= config.short_term AND created_age < config.medium_term THEN 1 ELSE 0 END) AS medium_term,
|
||||
SUM(CASE WHEN created_age >= config.medium_term AND created_age < config.long_term THEN 1 ELSE 0 END) AS long_term,
|
||||
COUNT(*) AS total
|
||||
FROM config, summary
|
||||
GROUP BY user_id
|
||||
)
|
||||
-- Put it all together
|
||||
SELECT bucket_counts.*, weekly_counts.weekly_counts
|
||||
FROM bucket_counts JOIN weekly_counts ON weekly_counts.user_id = bucket_counts.user_id
|
||||
),
|
||||
-- Contacts created by era
|
||||
contact_counts AS (
|
||||
-- Establish a summary of records with ages
|
||||
WITH summary AS (
|
||||
SELECT customers.user_id, customers.created_at::date - users.created_at::date AS created_age
|
||||
FROM config, customers
|
||||
JOIN users ON customers.user_id = users.id
|
||||
WHERE customers.created_at >= config.date_cutoff
|
||||
AND users.created_at >= config.date_cutoff
|
||||
AND customers.created_at <= users.created_at::date + config.long_term
|
||||
),
|
||||
-- Group by week for line charts
|
||||
weekly_counts AS (
|
||||
SELECT user_id,
|
||||
jsonb_object_agg(
|
||||
'week_' || weeks_in,
|
||||
weekly_count
|
||||
) AS weekly_counts,
|
||||
COUNT(*) AS total
|
||||
FROM (SELECT user_id, FLOOR(created_age / 7) AS weeks_in, COUNT(*) as weekly_count
|
||||
FROM summary
|
||||
GROUP BY user_id, weeks_in) by_weeks
|
||||
GROUP BY user_id
|
||||
),
|
||||
-- Group by era for bar charts
|
||||
bucket_counts AS (
|
||||
SELECT user_id,
|
||||
SUM(CASE WHEN created_age < config.short_term THEN 1 ELSE 0 END) AS short_term,
|
||||
SUM(CASE WHEN created_age >= config.short_term AND created_age < config.medium_term THEN 1 ELSE 0 END) AS medium_term,
|
||||
SUM(CASE WHEN created_age >= config.medium_term AND created_age < config.long_term THEN 1 ELSE 0 END) AS long_term,
|
||||
COUNT(*) AS total
|
||||
FROM config, summary
|
||||
GROUP BY user_id
|
||||
)
|
||||
-- Put it all together
|
||||
SELECT bucket_counts.*, weekly_counts.weekly_counts
|
||||
FROM bucket_counts JOIN weekly_counts ON weekly_counts.user_id = bucket_counts.user_id
|
||||
),
|
||||
-- Emails sent by era
|
||||
email_counts AS (
|
||||
-- Establish a summary of records with ages
|
||||
WITH summary AS (
|
||||
SELECT sent_emails.user_id, sent_emails.created_at::date - users.created_at::date AS created_age
|
||||
FROM config, sent_emails
|
||||
JOIN users ON sent_emails.user_id = users.id
|
||||
WHERE sent_emails.created_at >= config.date_cutoff
|
||||
AND users.created_at >= config.date_cutoff
|
||||
AND sent_emails.created_at <= users.created_at::date + config.long_term
|
||||
),
|
||||
-- Group by week for line charts
|
||||
weekly_counts AS (
|
||||
SELECT user_id,
|
||||
jsonb_object_agg(
|
||||
'week_' || weeks_in,
|
||||
weekly_count
|
||||
) AS weekly_counts,
|
||||
COUNT(*) AS total
|
||||
FROM (SELECT user_id, FLOOR(created_age / 7) AS weeks_in, COUNT(*) as weekly_count
|
||||
FROM summary
|
||||
GROUP BY user_id, weeks_in) by_weeks
|
||||
GROUP BY user_id
|
||||
),
|
||||
-- Group by era for bar charts
|
||||
bucket_counts AS (
|
||||
SELECT user_id,
|
||||
SUM(CASE WHEN created_age < config.short_term THEN 1 ELSE 0 END) AS short_term,
|
||||
SUM(CASE WHEN created_age >= config.short_term AND created_age < config.medium_term THEN 1 ELSE 0 END) AS medium_term,
|
||||
SUM(CASE WHEN created_age >= config.medium_term AND created_age < config.long_term THEN 1 ELSE 0 END) AS long_term,
|
||||
COUNT(*) AS total
|
||||
FROM config, summary
|
||||
GROUP BY user_id
|
||||
)
|
||||
-- Put it all together
|
||||
SELECT bucket_counts.*, weekly_counts.weekly_counts
|
||||
FROM bucket_counts JOIN weekly_counts ON weekly_counts.user_id = bucket_counts.user_id
|
||||
),
|
||||
-- Messages sent by era
|
||||
sms_counts AS (
|
||||
-- Establish a summary of records with ages
|
||||
WITH summary AS (
|
||||
SELECT sent_texts.user_id, sent_texts.created_at::date - users.created_at::date AS created_age
|
||||
FROM config, sent_texts
|
||||
JOIN users ON sent_texts.user_id = users.id
|
||||
WHERE sent_texts.created_at >= config.date_cutoff
|
||||
AND users.created_at >= config.date_cutoff
|
||||
AND sent_texts.created_at <= users.created_at::date + config.long_term
|
||||
),
|
||||
-- Group by week for line charts
|
||||
weekly_counts AS (
|
||||
SELECT user_id,
|
||||
jsonb_object_agg(
|
||||
'week_' || weeks_in,
|
||||
weekly_count
|
||||
) AS weekly_counts,
|
||||
COUNT(*) AS total
|
||||
FROM (SELECT user_id, FLOOR(created_age / 7) AS weeks_in, COUNT(*) as weekly_count
|
||||
FROM summary
|
||||
GROUP BY user_id, weeks_in) by_weeks
|
||||
GROUP BY user_id
|
||||
),
|
||||
-- Group by era for bar charts
|
||||
bucket_counts AS (
|
||||
SELECT user_id,
|
||||
SUM(CASE WHEN created_age < config.short_term THEN 1 ELSE 0 END) AS short_term,
|
||||
SUM(CASE WHEN created_age >= config.short_term AND created_age < config.medium_term THEN 1 ELSE 0 END) AS medium_term,
|
||||
SUM(CASE WHEN created_age >= config.medium_term AND created_age < config.long_term THEN 1 ELSE 0 END) AS long_term,
|
||||
COUNT(*) AS total
|
||||
FROM config, summary
|
||||
GROUP BY user_id
|
||||
)
|
||||
-- Put it all together
|
||||
SELECT bucket_counts.*, weekly_counts.weekly_counts
|
||||
FROM bucket_counts JOIN weekly_counts ON weekly_counts.user_id = bucket_counts.user_id
|
||||
),
|
||||
-- Appointments by era
|
||||
appointment_counts AS (
|
||||
-- Establish a summary of records with ages
|
||||
WITH summary AS (
|
||||
SELECT appointments.user_id, appointments.created_at::date - users.created_at::date AS created_age
|
||||
FROM config, appointments
|
||||
JOIN users ON appointments.user_id = users.id
|
||||
WHERE appointments.created_at >= config.date_cutoff
|
||||
AND users.created_at >= config.date_cutoff
|
||||
AND appointments.created_at <= users.created_at::date + config.long_term
|
||||
),
|
||||
-- Group by week for line charts
|
||||
weekly_counts AS (
|
||||
SELECT user_id,
|
||||
jsonb_object_agg(
|
||||
'week_' || weeks_in,
|
||||
weekly_count
|
||||
) AS weekly_counts,
|
||||
COUNT(*) AS total
|
||||
FROM (SELECT user_id, FLOOR(created_age / 7) AS weeks_in, COUNT(*) as weekly_count
|
||||
FROM summary
|
||||
GROUP BY user_id, weeks_in) by_weeks
|
||||
GROUP BY user_id
|
||||
),
|
||||
-- Group by era for bar charts
|
||||
bucket_counts AS (
|
||||
SELECT user_id,
|
||||
SUM(CASE WHEN created_age < config.short_term THEN 1 ELSE 0 END) AS short_term,
|
||||
SUM(CASE WHEN created_age >= config.short_term AND created_age < config.medium_term THEN 1 ELSE 0 END) AS medium_term,
|
||||
SUM(CASE WHEN created_age >= config.medium_term AND created_age < config.long_term THEN 1 ELSE 0 END) AS long_term,
|
||||
COUNT(*) AS total
|
||||
FROM config, summary
|
||||
GROUP BY user_id
|
||||
)
|
||||
-- Put it all together
|
||||
SELECT bucket_counts.*, weekly_counts.weekly_counts
|
||||
FROM bucket_counts JOIN weekly_counts ON weekly_counts.user_id = bucket_counts.user_id
|
||||
),
|
||||
-- Checklists created by era
|
||||
checklist_counts AS (
|
||||
-- Establish a summary of records with ages
|
||||
WITH summary AS (
|
||||
SELECT checklist_templates.user_id, checklists.created_at::date - users.created_at::date AS created_age
|
||||
FROM config, checklist_templates
|
||||
JOIN users ON checklist_templates.user_id = users.id
|
||||
JOIN checklists ON checklists.checklist_template_id = checklist_templates.id
|
||||
WHERE checklists.created_at >= config.date_cutoff
|
||||
AND users.created_at >= config.date_cutoff
|
||||
AND checklists.created_at <= users.created_at::date + config.long_term
|
||||
),
|
||||
-- Group by week for line charts
|
||||
weekly_counts AS (
|
||||
SELECT user_id,
|
||||
jsonb_object_agg(
|
||||
'week_' || weeks_in,
|
||||
weekly_count
|
||||
) AS weekly_counts,
|
||||
COUNT(*) AS total
|
||||
FROM (SELECT user_id, FLOOR(created_age / 7) AS weeks_in, COUNT(*) as weekly_count
|
||||
FROM summary
|
||||
GROUP BY user_id, weeks_in) by_weeks
|
||||
GROUP BY user_id
|
||||
),
|
||||
-- Group by era for bar charts
|
||||
bucket_counts AS (
|
||||
SELECT user_id,
|
||||
SUM(CASE WHEN created_age < config.short_term THEN 1 ELSE 0 END) AS short_term,
|
||||
SUM(CASE WHEN created_age >= config.short_term AND created_age < config.medium_term THEN 1 ELSE 0 END) AS medium_term,
|
||||
SUM(CASE WHEN created_age >= config.medium_term AND created_age < config.long_term THEN 1 ELSE 0 END) AS long_term,
|
||||
COUNT(*) AS total
|
||||
FROM config, summary
|
||||
GROUP BY user_id
|
||||
)
|
||||
-- Put it all together
|
||||
SELECT bucket_counts.*, weekly_counts.weekly_counts
|
||||
FROM bucket_counts JOIN weekly_counts ON weekly_counts.user_id = bucket_counts.user_id
|
||||
),
|
||||
-- Checklist events created by era
|
||||
checklist_filled_counts AS (
|
||||
-- Establish a summary of records with ages
|
||||
WITH summary AS (
|
||||
SELECT employees.user_id, checklist_item_events.created_at::date - users.created_at::date AS created_age
|
||||
FROM config, employees
|
||||
JOIN users ON employees.user_id = users.id
|
||||
JOIN checklist_item_events ON checklist_item_events.employee_id = employees.id
|
||||
WHERE checklist_item_events.created_at >= config.date_cutoff
|
||||
AND users.created_at >= config.date_cutoff
|
||||
AND checklist_item_events.created_at <= users.created_at::date + config.long_term
|
||||
),
|
||||
-- Group by week for line charts
|
||||
weekly_counts AS (
|
||||
SELECT user_id,
|
||||
jsonb_object_agg(
|
||||
'week_' || weeks_in,
|
||||
weekly_count
|
||||
) AS weekly_counts,
|
||||
COUNT(*) AS total
|
||||
FROM (SELECT user_id, FLOOR(created_age / 7) AS weeks_in, COUNT(*) as weekly_count
|
||||
FROM summary
|
||||
GROUP BY user_id, weeks_in) by_weeks
|
||||
GROUP BY user_id
|
||||
),
|
||||
-- Group by era for bar charts
|
||||
bucket_counts AS (
|
||||
SELECT user_id,
|
||||
SUM(CASE WHEN created_age < config.short_term THEN 1 ELSE 0 END) AS short_term,
|
||||
SUM(CASE WHEN created_age >= config.short_term AND created_age < config.medium_term THEN 1 ELSE 0 END) AS medium_term,
|
||||
SUM(CASE WHEN created_age >= config.medium_term AND created_age < config.long_term THEN 1 ELSE 0 END) AS long_term,
|
||||
COUNT(*) AS total
|
||||
FROM config, summary
|
||||
GROUP BY user_id
|
||||
)
|
||||
-- Put it all together
|
||||
SELECT bucket_counts.*, weekly_counts.weekly_counts
|
||||
FROM bucket_counts JOIN weekly_counts ON weekly_counts.user_id = bucket_counts.user_id
|
||||
)
|
||||
-- Finally, we'll flatten it all out into a repurposable flat table
|
||||
SELECT users_to_examine.id,
|
||||
users_to_examine.active,
|
||||
users_to_examine.billing_state,
|
||||
users_to_examine.free_trial_ends_at,
|
||||
users_to_examine.category,
|
||||
users_to_examine.created_at,
|
||||
users_to_examine.month_created,
|
||||
users_to_examine.updated_at,
|
||||
users_to_examine.lifespan,
|
||||
COALESCE(booking_form_counts.short_term, 0) AS booking_forms_short_term,
|
||||
COALESCE(booking_form_counts.medium_term, 0) AS booking_forms_medium_term,
|
||||
COALESCE(booking_form_counts.long_term, 0) AS booking_forms_long_term,
|
||||
COALESCE(booking_form_counts.total, 0) AS booking_forms,
|
||||
COALESCE(booking_form_counts.weekly_counts, '{}'::jsonb) AS booking_forms_weekly_counts,
|
||||
COALESCE(booking_counts.short_term, 0) AS bookings_short_term,
|
||||
COALESCE(booking_counts.medium_term, 0) AS bookings_medium_term,
|
||||
COALESCE(booking_counts.long_term, 0) AS bookings_long_term,
|
||||
COALESCE(booking_counts.total, 0) AS bookings,
|
||||
COALESCE(booking_counts.weekly_counts, '{}'::jsonb) AS bookings_weekly_counts,
|
||||
COALESCE(employee_counts.short_term, 0) AS employees_short_term,
|
||||
COALESCE(employee_counts.medium_term, 0) AS employees_medium_term,
|
||||
COALESCE(employee_counts.long_term, 0) AS employees_long_term,
|
||||
COALESCE(employee_counts.total, 0) AS employees,
|
||||
COALESCE(employee_counts.weekly_counts, '{}'::jsonb) AS employee_weekly_counts,
|
||||
COALESCE(contact_counts.short_term, 0) AS contacts_short_term,
|
||||
COALESCE(contact_counts.medium_term, 0) AS contacts_medium_term,
|
||||
COALESCE(contact_counts.long_term, 0) AS contacts_long_term,
|
||||
COALESCE(contact_counts.total, 0) AS contacts,
|
||||
COALESCE(contact_counts.weekly_counts, '{}'::jsonb) AS contacts_weekly_counts,
|
||||
COALESCE(email_counts.short_term, 0) AS emails_short_term,
|
||||
COALESCE(email_counts.medium_term, 0) AS emails_medium_term,
|
||||
COALESCE(email_counts.long_term, 0) AS emails_long_term,
|
||||
COALESCE(email_counts.total, 0) AS emails,
|
||||
COALESCE(email_counts.weekly_counts, '{}'::jsonb) AS emails_weekly_counts,
|
||||
COALESCE(sms_counts.short_term, 0) AS sms_short_term,
|
||||
COALESCE(sms_counts.medium_term, 0) AS sms_medium_term,
|
||||
COALESCE(sms_counts.long_term, 0) AS sms_long_term,
|
||||
COALESCE(sms_counts.total, 0) AS sms,
|
||||
COALESCE(sms_counts.weekly_counts, '{}'::jsonb) AS sms_weekly_counts,
|
||||
COALESCE(appointment_counts.short_term, 0) AS appointments_short_term,
|
||||
COALESCE(appointment_counts.medium_term, 0) AS appointments_medium_term,
|
||||
COALESCE(appointment_counts.long_term, 0) AS appointments_long_term,
|
||||
COALESCE(appointment_counts.total, 0) AS appointments,
|
||||
COALESCE(appointment_counts.weekly_counts, '{}'::jsonb) AS appointments_weekly_counts,
|
||||
COALESCE(checklist_counts.short_term, 0) AS checklists_short_term,
|
||||
COALESCE(checklist_counts.medium_term, 0) AS checklists_medium_term,
|
||||
COALESCE(checklist_counts.long_term, 0) AS checklists_long_term,
|
||||
COALESCE(checklist_counts.total, 0) AS checklists,
|
||||
COALESCE(checklist_counts.weekly_counts, '{}'::jsonb) AS checklists_weekly_counts,
|
||||
COALESCE(checklist_filled_counts.short_term, 0) AS checklists_filled_short_term,
|
||||
COALESCE(checklist_filled_counts.medium_term, 0) AS checklists_filled_medium_term,
|
||||
COALESCE(checklist_filled_counts.long_term, 0) AS checklists_filled_long_term,
|
||||
COALESCE(checklist_filled_counts.total, 0) AS checklists_filled,
|
||||
COALESCE(checklist_filled_counts.weekly_counts, '{}'::jsonb) AS checklists_filled_weekly_counts
|
||||
|
||||
FROM users_to_examine
|
||||
LEFT JOIN booking_form_counts ON booking_form_counts.user_id = users_to_examine.id
|
||||
LEFT JOIN booking_counts ON booking_counts.user_id = users_to_examine.id
|
||||
LEFT JOIN employee_counts ON employee_counts.user_id = users_to_examine.id
|
||||
LEFT JOIN contact_counts ON contact_counts.user_id = users_to_examine.id
|
||||
LEFT JOIN email_counts ON email_counts.user_id = users_to_examine.id
|
||||
LEFT JOIN sms_counts ON sms_counts.user_id = users_to_examine.id
|
||||
LEFT JOIN appointment_counts ON appointment_counts.user_id = users_to_examine.id
|
||||
LEFT JOIN checklist_counts ON checklist_counts.user_id = users_to_examine.id
|
||||
LEFT JOIN checklist_filled_counts ON checklist_filled_counts.user_id = users_to_examine.id
|
||||
;
|
||||
Reference in New Issue
Block a user