Stabilize RFM segment scoring across date filters
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This commit is contained in:
Cauê Faleiros
2026-06-15 11:03:11 -03:00
parent fc7a50fddf
commit de6a263ec9
2 changed files with 94 additions and 17 deletions

View File

@@ -103,13 +103,15 @@ const buildRfmSegments = (clients) => {
const buildRfmClients = (baseClients) => {
const recencyValues = baseClients.map(client => client.recencyDays);
const frequencyValues = baseClients.map(client => client.frequency);
const monetaryValues = baseClients.map(client => client.monetary);
const frequencyValues = baseClients.map(client => client.rfmFrequency ?? client.frequency);
const monetaryValues = baseClients.map(client => client.rfmMonetary ?? client.monetary);
return baseClients.map(client => {
const frequencyForScore = client.rfmFrequency ?? client.frequency;
const monetaryForScore = client.rfmMonetary ?? client.monetary;
const recencyScore = scoreTertile(client.recencyDays, recencyValues, false);
const frequencyScore = scoreTertile(client.frequency, frequencyValues, true);
const monetaryScore = scoreTertile(client.monetary, monetaryValues, true);
const frequencyScore = scoreTertile(frequencyForScore, frequencyValues, true);
const monetaryScore = scoreTertile(monetaryForScore, monetaryValues, true);
const valueScore = Math.min(3, Math.max(1, Math.round((frequencyScore + monetaryScore) / 2)));
const segment = getRfmSegment(recencyScore, valueScore);
@@ -260,19 +262,45 @@ const getRfmAnalytics = async (range = {}) => {
}
const result = await pool.query(`
WITH period_clients AS (
SELECT
MAX(cliente_nome) as name,
cliente_fone as phone,
COALESCE(SUM(quantidade * valor_unitario), 0) as monetary,
COUNT(DISTINCT COALESCE(NULLIF(pedido_id, ''), data_pedido || '_' || valor_pedido::text))::int as frequency,
COALESCE(SUM(quantidade), 0) as quantity_purchased,
MAX(data_pedido_date) as last_purchase_date,
GREATEST((${recencyReferenceDate} - MAX(data_pedido_date))::int, 0) as recency_days
MAX(data_pedido_date) as last_purchase_date
FROM orders
${whereClause}
AND cliente_fone IS NOT NULL
AND cliente_fone != ''
GROUP BY cliente_fone
),
rfm_clients AS (
SELECT
cliente_fone as phone,
COALESCE(SUM(quantidade * valor_unitario), 0) as rfm_monetary,
COUNT(DISTINCT COALESCE(NULLIF(pedido_id, ''), data_pedido || '_' || valor_pedido::text))::int as rfm_frequency,
GREATEST((${recencyReferenceDate} - MAX(data_pedido_date))::int, 0) as recency_days
FROM orders
WHERE data_pedido_date IS NOT NULL
AND data_pedido_date <= ${recencyReferenceDate}
AND cliente_fone IS NOT NULL
AND cliente_fone != ''
GROUP BY cliente_fone
)
SELECT
period_clients.name,
period_clients.phone,
period_clients.monetary,
period_clients.frequency,
period_clients.quantity_purchased,
period_clients.last_purchase_date,
rfm_clients.rfm_monetary,
rfm_clients.rfm_frequency,
rfm_clients.recency_days
FROM period_clients
INNER JOIN rfm_clients ON rfm_clients.phone = period_clients.phone
ORDER BY monetary DESC
LIMIT 1000;
`, queryParams);
@@ -284,7 +312,9 @@ const getRfmAnalytics = async (range = {}) => {
frequency: toNumber(row.frequency),
quantityPurchased: toNumber(row.quantity_purchased),
lastPurchaseDate: row.last_purchase_date,
recencyDays: toNumber(row.recency_days)
recencyDays: toNumber(row.recency_days),
rfmFrequency: toNumber(row.rfm_frequency),
rfmMonetary: toNumber(row.rfm_monetary)
}));
const clients = buildRfmClients(baseClients);

View File

@@ -134,6 +134,52 @@ test('buildRfmClients keeps a yesterday buyer in the same high-recency segment w
assert.equal(sevenDayClients[0].phone, yesterdayClients[0].phone);
});
test('buildRfmClients scores segments from RFM history when period totals are smaller', () => {
const clients = buildRfmClients([
{
name: 'Champion que comprou ontem',
phone: '1',
monetary: 100,
frequency: 1,
quantityPurchased: 1,
lastPurchaseDate: '2026-06-14',
recencyDays: 0,
rfmFrequency: 20,
rfmMonetary: 10000
},
{
name: 'Compra alta no periodo',
phone: '2',
monetary: 1000,
frequency: 5,
quantityPurchased: 5,
lastPurchaseDate: '2026-06-10',
recencyDays: 4,
rfmFrequency: 1,
rfmMonetary: 100
},
{
name: 'Compra media no periodo',
phone: '3',
monetary: 900,
frequency: 4,
quantityPurchased: 4,
lastPurchaseDate: '2026-06-05',
recencyDays: 9,
rfmFrequency: 1,
rfmMonetary: 50
}
]);
const yesterdayBuyer = clients.find(client => client.phone === '1');
assert.equal(yesterdayBuyer.segmentKey, 'champions');
assert.equal(yesterdayBuyer.frequency, 1);
assert.equal(yesterdayBuyer.monetary, 100);
assert.equal(yesterdayBuyer.frequencyScore, 3);
assert.equal(yesterdayBuyer.monetaryScore, 3);
});
test('getRfmAnalytics calculates recency against selected range end date', async () => {
const originalQuery = pool.query;
const calls = [];
@@ -160,6 +206,7 @@ test('getRfmAnalytics calculates recency against selected range end date', async
const yesterday = await getRfmAnalytics({ start: '2026-06-14', end: '2026-06-14' });
assert.match(calls[0].sql, /\(\$3::date - MAX\(data_pedido_date\)\)::int/);
assert.match(calls[0].sql, /data_pedido_date <= \$3::date/);
assert.deepEqual(calls[0].params, ['2026-06-09', '2026-06-15', '2026-06-15']);
assert.deepEqual(calls[1].params, ['2026-06-14', '2026-06-14', '2026-06-14']);
assert.equal(sevenDays.clients[0].segmentKey, 'champions');