Query Studioスキーマリファレンス

SELECT page_url, COUNT(*) as visits, AVG(time_on_page) as avg_time
FROM visitors
WHERE website_id = 'YOUR_WEBSITE_ID'
AND visited_at >= date_trunc('month', now())
GROUP BY page_url
ORDER BY visits DESC
LIMIT 10;

SELECT date, visitors, page_views, bounce_rate
FROM analytics_daily
WHERE website_id = 'YOUR_WEBSITE_ID'
AND date >= now() - interval '30 days'
ORDER BY date ASC;

SELECT marketing_channel, SUM(amount) as total_revenue, COUNT(*) as transactions
FROM payments
WHERE website_id = 'YOUR_WEBSITE_ID'
AND status = 'succeeded'
AND created_at >= date_trunc('month', now())
GROUP BY marketing_channel
ORDER BY total_revenue DESC;

SELECT email, name, total_revenue, subscription_status, subscription_plan
FROM identified_users
WHERE website_id = 'YOUR_WEBSITE_ID'
ORDER BY total_revenue DESC
LIMIT 20;

SELECT utm_source, COUNT(*) as completions, SUM(completion_value) as total_value
FROM goal_completions
WHERE website_id = 'YOUR_WEBSITE_ID'
AND completed_at >= date_trunc('week', now())
GROUP BY utm_source
ORDER BY completions DESC;

SELECT error_type, error_message, occurrence_count, user_count, severity, last_seen
FROM error_groups
WHERE website_id = 'YOUR_WEBSITE_ID'
AND status = 'open'
ORDER BY occurrence_count DESC
LIMIT 10;

SELECT page_url,
ROUND(AVG(lcp_value), 0) as avg_lcp_ms,
ROUND(AVG(cls_value), 3) as avg_cls,
ROUND(AVG(inp_value), 0) as avg_inp_ms
FROM performance_metrics
WHERE website_id = 'YOUR_WEBSITE_ID'
AND recorded_at >= now() - interval '7 days'
GROUP BY page_url
ORDER BY avg_lcp_ms DESC
LIMIT 10;

SELECT date, uptime_percentage, avg_response_time_ms, incidents_count
FROM uptime_daily
WHERE website_id = 'YOUR_WEBSITE_ID'
AND date >= now() - interval '30 days'
ORDER BY date ASC;

SELECT page_url, frustration_type, COUNT(*) as occurrences
FROM frustration_events
WHERE website_id = 'YOUR_WEBSITE_ID'
AND timestamp >= now() - interval '7 days'
GROUP BY page_url, frustration_type
ORDER BY occurrences DESC
LIMIT 10;

SELECT visitor_id, duration_ms / 1000 as duration_seconds, total_events, started_at
FROM replay_sessions
WHERE website_id = 'YOUR_WEBSITE_ID'
AND duration_ms > 120000
ORDER BY started_at DESC
LIMIT 20;

SELECT c.name, c.industry, c.employee_count, v.total_visits, v.engagement_score, v.last_visit
FROM b2b_company_visits v
JOIN b2b_companies c ON c.id = v.company_id
WHERE v.website_id = 'YOUR_WEBSITE_ID'
ORDER BY v.engagement_score DESC
LIMIT 15;

SELECT utm_source, utm_campaign, SUM(visitors) as total_visitors,
SUM(conversions) as total_conversions, SUM(revenue) as total_revenue,
ROUND(AVG(bounce_rate), 3) as avg_bounce_rate
FROM campaign_performance
WHERE website_id = 'YOUR_WEBSITE_ID'
AND date >= now() - interval '30 days'
GROUP BY utm_source, utm_campaign
ORDER BY total_revenue DESC;

SELECT query, SUM(clicks) as total_clicks, SUM(impressions) as total_impressions,
ROUND(AVG(ctr), 4) as avg_ctr, ROUND(AVG(position), 1) as avg_position
FROM gsc_keyword_data
WHERE website_id = 'YOUR_WEBSITE_ID'
AND date >= now() - interval '28 days'
GROUP BY query
ORDER BY total_clicks DESC
LIMIT 20;

SELECT event_name, event_category, COUNT(*) as occurrences, SUM(revenue) as total_revenue
FROM custom_events
WHERE website_id = 'YOUR_WEBSITE_ID'
AND properties->>'source' IS NOT NULL
GROUP BY event_name, event_category
ORDER BY occurrences DESC
LIMIT 20;

SELECT note_date, content
FROM chart_notes
WHERE website_id = 'YOUR_WEBSITE_ID'
AND note_date >= date_trunc('month', now())
AND show_on_chart = true
ORDER BY note_date ASC;

SELECT name, alert_type, status, conditions
FROM alerts
WHERE website_id = 'YOUR_WEBSITE_ID'
AND status = 'active'
ORDER BY name;