Score RFM segments against customer history
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@@ -74,7 +74,7 @@ const scoreTertile = (value, values, higherIsBetter = true) => {
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const min = Math.min(...numericValues);
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const max = Math.max(...numericValues);
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if (min === max) return 2;
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if (min === max) return higherIsBetter ? 2 : 3;
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const sorted = [...numericValues].sort((a, b) => higherIsBetter ? a - b : b - a);
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const index = sorted.findIndex(candidate => candidate === toNumber(value));
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@@ -253,16 +253,12 @@ const getClientAnalytics = async (range = {}) => {
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const getRfmAnalytics = async (range = {}) => {
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const { params, whereClause } = buildDateFilter(range);
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const queryParams = [...params];
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const normalizedEnd = normalizeDateParam(range.end);
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const recencyReferenceDate = normalizedEnd ? `$${queryParams.length + 1}::date` : 'CURRENT_DATE';
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const recencyReferenceDate = normalizedEnd ? '$1::date' : 'CURRENT_DATE';
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const historyParams = normalizedEnd ? [normalizedEnd] : [];
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if (normalizedEnd) {
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queryParams.push(normalizedEnd);
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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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const [periodResult, historyResult] = await Promise.all([
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pool.query(`
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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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@@ -275,49 +271,55 @@ const getRfmAnalytics = async (range = {}) => {
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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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ORDER BY monetary DESC
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LIMIT 1000;
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`, params),
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pool.query(`
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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 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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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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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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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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GROUP BY cliente_fone;
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`, historyParams)
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]);
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const baseClients = result.rows.map(row => ({
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const historyClients = buildRfmClients(historyResult.rows.map(row => ({
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name: row.name,
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phone: row.phone,
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monetary: toNumber(row.monetary),
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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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rfmFrequency: toNumber(row.rfm_frequency),
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rfmMonetary: toNumber(row.rfm_monetary)
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}));
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recencyDays: toNumber(row.recency_days)
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})));
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const rfmByPhone = new Map(historyClients.map(client => [client.phone, client]));
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const clients = buildRfmClients(baseClients);
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const clients = periodResult.rows.map(row => {
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const rfmClient = rfmByPhone.get(row.phone);
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return {
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...rfmClient,
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name: row.name,
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phone: row.phone,
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monetary: toNumber(row.monetary),
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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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};
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}).filter(client => client.segmentKey).sort((a, b) => {
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if (b.recencyScore !== a.recencyScore) return b.recencyScore - a.recencyScore;
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if (b.valueScore !== a.valueScore) return b.valueScore - a.valueScore;
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return b.monetary - a.monetary;
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});
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return {
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range: {
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