Lead Time Report

Analisa berapa hari sebelumnya tamu booking sebelum tanggal check-in. Penting untuk pricing strategy & demand forecasting.

Path menu: Laporan → Reservasi → Lead Time Report (/reports/lead-time)

Konsep

lead_time = check_in_date - booked_at_date (dalam hari).

Kategori	Range Hari	Karakteristik
Same-Day	0	Walk-in / last-minute (premium pricing potential)
Short	1–3	Last-minute travelers
Medium	4–14	Regular booking
Long	15–30	Planned trip
Advance	31–90	Vacation planners (early bird discount target)
Far Advance	90+	Tour operators / event groups

Filter

• Periode (booked_at)
• Source (untuk compare OTA vs direct)
• Tipe Kamar

Output

Distribution Histogram

Bar chart count reservations per lead time bucket.

Tabel Statistik

• Avg Lead Time — mean days
• Median Lead Time
• P25 / P75 — quartile distribution
• By Source — OTA vs walk-in vs direct, biasanya beda significant

Trend

Avg lead time per minggu/bulan, lihat shift behavior over time (mis. lead time mengecil saat ekonomi tidak stabil — orang booking last-minute).

Use Case

• Dynamic pricing — kalau lead time pendek, demand sensitif harga, diskon dapat boost
• Inventory planning — booking pace + lead time untuk forecast occupancy 30 hari
• Marketing campaign timing — kalau avg lead time 14 hari, push ad campaign 2-3 minggu sebelum target dates

Tips

• Lead time menurun = booking trend "spontan", common di hotel transit
• Lead time naik = market more planned (resort), bisa optimize dengan early-bird promo
• Komplemen dengan Booking Pace Report — pace = velocity booking masuk per hari