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