RFM Analysis · Dynamic Segmentation
Customer Segmentation
Segment otomatis berdasarkan perilaku transaksi (Recency, Frequency, Monetary). Gunakan untuk targeting campaign yang lebih presisi.
Auto Segment · RFM
VIP Ladies
High spend, high frequency. The soul of the brand.
284
Customer
Custom Segments
| Nama Segment | Kriteria | Jumlah | Last Updated | Dibuat Oleh | Action |
|---|---|---|---|---|---|
| Skincare Lovers | Kategori beli: Skincare > 3× · Min. Rp500K | 612 | 2 hari lalu | Kinanti A. | |
| Jakarta VIP | Kota: Jakarta · Segment: VIP | 87 | 1 minggu lalu | Anindya P. | |
| Birthday April | Tanggal lahir: bulan April | 234 | Otomatis | System | |
| Lipstick Enthusiast | Beli lip products ≥ 5× | 312 | 3 hari lalu | Kinanti A. | |
| Churn Prevention | Last purchase 60–90 hari + LTV > Rp1JT | 148 | Auto refresh | System | |
| Early Adopters | Pembeli awal (registered < Mar 2024) | 94 | 1 bulan lalu | Rafif S. |
RFM Matrix Visualization
Distribusi customer berdasarkan Recency & Frequency · ukuran = Monetary
← Less Frequent · Frequency · More Frequent →
128
Champions
156
Champions
98
Loyal
76
Potential
42
Promising
92
Champions
112
Loyal
134
Loyal
168
Potential
76
New
64
Loyal
88
Loyal
142
Need Attn
92
Need Attn
124
New
34
At Risk
68
At Risk
87
Can't Lose
54
About to Sleep
31
Hibernating
28
Lost
44
Lost
62
At Risk
38
About to Sleep
22
Hibernating
← Lost · Recency · Recent →