mirror of
https://github.com/christianvidalwolf-prog/CrazeAnalytix.git
synced 2026-08-03 12:45:23 +02:00
feat: add Detail Level BSR metric to experiments analysis
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@@ -5,6 +5,7 @@ import Dashboard from './components/Dashboard';
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import FilterBar from './components/FilterBar';
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import AIChat from './components/AIChat';
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import CrazeLogo from './components/CrazeLogo';
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import TopMovers from './components/TopMovers';
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import { processCSV, processExcel, filterData, aggregateData, processAdsCSV, processAdsExcel, mergeSalesAndAdsData, processTrafficExcel, processStockExcel, filterAdsData, calculateForecastViewData, processVendorStockExcel, processUKInventoryExcel, calculateVelocityMap, getUniqueValues, processForecastExcel, processBuyBoxExcel, processBSRExcel, filterBsrData } from './services/dataProcessor';
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import { SalesRecord, FilterState, AggregatedData, AdsRecord, TrafficRecord, ForecastRecord, ProductForecastData, ActiveExperiment, BSRRecord } from './types';
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import { queryGemini } from './services/geminiService';
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@@ -18,7 +19,6 @@ import {
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// Lazy load heavy components for better initial performance
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const DataGrid = lazy(() => import('./components/DataGrid'));
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const WeeklyGrid = lazy(() => import('./components/WeeklyGrid'));
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const TopMovers = lazy(() => import('./components/TopMovers'));
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const AdsPerformance = lazy(() => import('./components/AdsPerformance'));
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const ForecastView = lazy(() => import('./components/ForecastView'));
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const VendorDataView = lazy(() => import('./components/VendorDataView'));
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@@ -564,15 +564,20 @@ const App: React.FC = () => {
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// Determine which dataset to use for velocity calculation based on top50Mode
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// Derived Data for Vendor (BSR)
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const filteredBsrData = useMemo(() => {
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return filterBsrData(bsrData, filters, globalAsinMetadata, stockMap, vendorStockMap, top50Mode);
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}, [bsrData, filters, globalAsinMetadata, stockMap, vendorStockMap, top50Mode]);
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// Combine Sales & Ads Data dynamically based on current filters
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const combinedAdsData = useMemo(() => {
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return mergeSalesAndAdsData(filteredData, filteredAdsData, globalAsinMetadata, trafficData, velocityMap);
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}, [filteredData, filteredAdsData, globalAsinMetadata, trafficData, velocityMap]);
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return mergeSalesAndAdsData(filteredData, filteredAdsData, globalAsinMetadata, trafficData, velocityMap, filteredBsrData);
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}, [filteredData, filteredAdsData, globalAsinMetadata, trafficData, velocityMap, filteredBsrData]);
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// Unfiltered combined data for Experiment calculations (so they aren't affected by UI filters)
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const unfilteredCombinedData = useMemo(() => {
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return mergeSalesAndAdsData(rawData, adsData, globalAsinMetadata, trafficData, velocityMap);
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}, [rawData, adsData, globalAsinMetadata, trafficData, velocityMap]);
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return mergeSalesAndAdsData(rawData, adsData, globalAsinMetadata, trafficData, velocityMap, bsrData);
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}, [rawData, adsData, globalAsinMetadata, trafficData, velocityMap, bsrData]);
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// Derived Data for Grid (YTD Filtered - Isolated)
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// 1. Identify "Current Year" max week
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@@ -627,11 +632,6 @@ const App: React.FC = () => {
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return aggregateData(ytdFilteredData);
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}, [ytdFilteredData]);
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// Derived Data for Vendor (BSR)
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const filteredBsrData = useMemo(() => {
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return filterBsrData(bsrData, filters, globalAsinMetadata, stockMap, vendorStockMap, top50Mode);
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}, [bsrData, filters, globalAsinMetadata, stockMap, vendorStockMap, top50Mode]);
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// Derived Data for Views
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const years = useMemo(() => getUniqueValues(rawData, 'year').sort().reverse(), [rawData]);
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@@ -823,7 +823,7 @@ const App: React.FC = () => {
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<FilterBar filters={filters} onFilterChange={handleFilterChange} options={filterOptions} />
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<div className="mt-6">
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<div className={view === 'dashboard' ? '' : 'hidden'}>
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<Dashboard data={ytdAggregatedData} filterState={filters} adsData={ytdFilteredAdsData} stockMap={stockMap} />
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<Dashboard data={ytdAggregatedData} filterState={filters} adsData={ytdFilteredAdsData} stockMap={stockMap} rawData={rawData} />
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</div>
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<Suspense fallback={<LoadingSpinner />}>
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@@ -868,11 +868,9 @@ const App: React.FC = () => {
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</div>
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</Suspense>
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<Suspense fallback={<LoadingSpinner />}>
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<div className={view === 'movers' ? '' : 'hidden'}>
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<TopMovers data={filteredData} stockMap={stockMap} />
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</div>
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</Suspense>
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<div className={view === 'movers' ? '' : 'hidden'}>
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<TopMovers data={filteredData} />
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</div>
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<Suspense fallback={<LoadingSpinner />}>
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<div className={view === 'ads' ? '' : 'hidden'}>
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@@ -1,15 +1,17 @@
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import React, { useState, useMemo, useEffect } from 'react';
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import { AggregatedData, GrowthMetric, AdsRecord } from '../types';
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import { AggregatedData, GrowthMetric, AdsRecord, SalesRecord } from '../types';
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import {
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BarChart, Bar, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer,
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LineChart, Line, Legend
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} from 'recharts';
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import TopMovers from './TopMovers';
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interface DashboardProps {
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data: AggregatedData;
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contextData?: AggregatedData | null;
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adsData?: AdsRecord[];
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rawData?: SalesRecord[];
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}
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const COLORS = ['#6366f1', '#ec4899', '#10b981', '#f59e0b', '#8b5cf6', '#0ea5e9'];
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@@ -457,7 +459,7 @@ const GrowthTable: React.FC<{
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);
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}
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const Dashboard: React.FC<DashboardProps> = ({ data, contextData, adsData = [] }) => {
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const Dashboard: React.FC<DashboardProps> = ({ data, contextData, adsData = [], rawData = [] }) => {
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const [seasonalityMetric, setSeasonalityMetric] = useState<'sellOut' | 'units'>('sellOut');
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const [top10Metric, setTop10Metric] = useState<'sellOut' | 'units'>('sellOut');
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@@ -808,6 +810,13 @@ const Dashboard: React.FC<DashboardProps> = ({ data, contextData, adsData = [] }
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</ExpandableCard>
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</div>
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</div>
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{/* Top Movers Table - Full Width */}
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{rawData && rawData.length > 0 && (
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<div className="mt-6">
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<TopMovers data={rawData} />
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</div>
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)}
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</div>
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);
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};
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@@ -53,6 +53,7 @@ const METRIC_OPTIONS: { value: ExperimentMetric; label: string }[] = [
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{ value: 'roas', label: 'ROAS' },
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{ value: 'revenue', label: 'Revenue' },
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{ value: 'acos', label: 'ACOS' },
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{ value: 'detail_bsr', label: 'Detail Level BSR' },
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];
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// ============ Main Component ============
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@@ -567,7 +568,7 @@ const ExperimentDetailView: React.FC<{
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</thead>
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<tbody className="divide-y divide-white/5">
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{/* Render specific metrics: Units, Revenue, CVR, BSR/ACOS */}
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{['units', 'revenue', 'cvr', 'acos', 'sessions', 'roas', 'ctr'].map(metric => {
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{['units', 'revenue', 'cvr', 'acos', 'sessions', 'roas', 'ctr', 'detail_bsr'].map(metric => {
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const res = didResults?.metrics?.[metric];
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if (!res) {
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return (
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@@ -584,7 +585,7 @@ const ExperimentDetailView: React.FC<{
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</tr>
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);
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}
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const isPositiveGood = !['acos', 'bsr'].includes(metric);
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const isPositiveGood = !['acos', 'detail_bsr'].includes(metric);
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const isGood = isPositiveGood ? res.lift_percent >= 0 : res.lift_percent <= 0;
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return (
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<tr key={metric} className="hover:bg-white/[0.02] transition-colors">
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@@ -783,7 +783,8 @@ export const mergeSalesAndAdsData = (
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adsData: AdsRecord[],
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asinMetadataMap?: Map<string, { sku: string; title: string; line: string }>,
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trafficData?: TrafficRecord[],
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velocityMap?: Map<string, number>
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velocityMap?: Map<string, number>,
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bsrData?: BSRRecord[]
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): CombinedKPIs[] => {
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const stringCache: Record<string, string> = {};
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const getNorm = (s: string) => {
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@@ -808,6 +809,20 @@ export const mergeSalesAndAdsData = (
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}
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}
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// Build BSR lookup map
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const bsrMap = new Map<string, number>();
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if (bsrData) {
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for (let i = 0; i < bsrData.length; i++) {
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const b = bsrData[i];
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const year = b.date ? parseInt(b.date.split('-')[0]) : new Date().getFullYear();
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const country = mapCountryToMarketplace(b.market);
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const key = `${getNorm(b.asin)}|${getNorm(country)}|${year}|${b.week}`;
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if (b.detailLevelBSR !== null && b.detailLevelBSR !== undefined) {
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bsrMap.set(key, b.detailLevelBSR);
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}
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}
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}
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// 1. Initialize metadata lookup map with provided global map if available, otherwise build from current sales
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const asinMetadata = asinMetadataMap || new Map<string, { sku: string; title: string; line: string }>();
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@@ -942,6 +957,7 @@ export const mergeSalesAndAdsData = (
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cpc,
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cvrUnits,
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glanceViews: trafficMap.get(key) || 0,
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detailLevelBSR: bsrMap.get(key),
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avgWeeklySales
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});
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});
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@@ -983,6 +999,7 @@ export const mergeSalesAndAdsData = (
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cpc: ad.clicks > 0 ? ad.cost / ad.clicks : 0,
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cvrUnits: ad.clicks > 0 ? (ad.attributedUnits30d / ad.clicks) * 100 : 0,
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glanceViews: trafficMap.get(key) || 0,
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detailLevelBSR: bsrMap.get(key),
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avgWeeklySales
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});
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}
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@@ -35,6 +35,8 @@ interface WeeklyMetrics {
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cost: number;
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clicks: number;
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impressions: number;
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detail_bsr: number;
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bsrCount: number;
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}
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interface ComputedWeeklyMetrics extends WeeklyMetrics {
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@@ -159,6 +161,8 @@ function aggregateWeeklyMetrics(
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cost: 0,
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clicks: 0,
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impressions: 0,
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detail_bsr: 0,
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bsrCount: 0,
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});
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}
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@@ -170,6 +174,10 @@ function aggregateWeeklyMetrics(
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w.cost += Number(r.cost) || 0;
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w.clicks += r.clicks || 0;
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w.impressions += r.impressions || 0;
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if (r.detailLevelBSR != null) {
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w.detail_bsr += r.detailLevelBSR;
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w.bsrCount += 1;
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}
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}
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// Debug ad map
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@@ -189,6 +197,7 @@ function aggregateWeeklyMetrics(
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cvr: w.sessions > 0 ? (w.units / w.sessions) * 100 : 0,
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ctr: w.impressions > 0 ? (w.clicks / w.impressions) * 100 : 0,
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roas: w.cost > 0 ? w.adRevenue / w.cost : 0,
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detail_bsr: w.bsrCount > 0 ? w.detail_bsr / w.bsrCount : 0,
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}));
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}
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@@ -201,6 +210,7 @@ function getMetricValue(w: ComputedWeeklyMetrics, metric: string): number {
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case 'roas': return w.roas;
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case 'revenue': return w.revenue;
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case 'acos': return w.cost > 0 && w.adRevenue > 0 ? (w.cost / w.adRevenue) * 100 : 0;
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case 'detail_bsr': return w.detail_bsr;
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default: return w.units;
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}
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}
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@@ -265,6 +275,13 @@ function avgMetric(data: ComputedWeeklyMetrics[], metric: string, durationWeeks:
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const totalCost = data.reduce((s, w) => s + w.cost, 0);
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return totalAdRevenue > 0 && totalCost > 0 ? (totalCost / totalAdRevenue) * 100 : 0;
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}
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if (metric === 'detail_bsr') {
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// For detail_bsr, we want the average of the non-zero weeks
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const validWeeks = data.filter(w => w.detail_bsr > 0);
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if (validWeeks.length === 0) return 0;
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const sum = validWeeks.reduce((s, w) => s + w.detail_bsr, 0);
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return sum / validWeeks.length;
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}
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// For absolute quantities (units, revenue, sessions), we sum them and divide by the number of weeks
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// Use actual data.length instead of theoretical durationWeeks for accuracy
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@@ -272,8 +289,8 @@ function avgMetric(data: ComputedWeeklyMetrics[], metric: string, durationWeeks:
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return sum / data.length;
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}
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const METRICS = ['units', 'sessions', 'cvr', 'ctr', 'roas', 'revenue', 'acos'];
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const LOWER_IS_BETTER = new Set(['acos']);
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const METRICS = ['units', 'sessions', 'cvr', 'ctr', 'roas', 'revenue', 'acos', 'detail_bsr'];
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const LOWER_IS_BETTER = new Set(['acos', 'detail_bsr']);
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function computeMetricDiD(
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treatmentBefore: ComputedWeeklyMetrics[],
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@@ -278,6 +278,7 @@ export const METRIC_LABELS: Record<string, string> = {
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roas: 'ROAS',
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revenue: 'Revenue',
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acos: 'ACOS',
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detail_bsr: 'Detail Level BSR',
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};
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export const formatMetricValue = (value: number, metric: string): string => {
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@@ -290,6 +291,8 @@ export const formatMetricValue = (value: number, metric: string): string => {
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return `${value.toFixed(2)}x`;
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case 'revenue':
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return `€${value.toLocaleString('de-DE', { minimumFractionDigits: 0, maximumFractionDigits: 0 })}`;
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case 'detail_bsr':
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return `#${value.toLocaleString('de-DE', { minimumFractionDigits: 0, maximumFractionDigits: 0 })}`;
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default:
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return value.toLocaleString('de-DE', { minimumFractionDigits: 0, maximumFractionDigits: 2 });
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}
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@@ -207,6 +207,7 @@ export interface CombinedKPIs {
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cpc: number;
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cvrUnits: number;
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glanceViews: number; // Traffic / page views
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detailLevelBSR?: number; // Added for Detail Level BSR in Experiments
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avgWeeklySales?: number; // Added for Weeks of Coverage
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}
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@@ -295,7 +296,7 @@ export interface BSRRecord {
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// Experiment Tracking Types
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export type ExperimentType = 'pricing' | 'advertising' | 'content' | 'promotion' | 'seo';
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export type ExperimentStatus = 'planned' | 'active' | 'completed' | 'paused';
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export type ExperimentMetric = 'units' | 'sessions' | 'cvr' | 'ctr' | 'roas' | 'revenue' | 'acos';
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export type ExperimentMetric = 'units' | 'sessions' | 'cvr' | 'ctr' | 'roas' | 'revenue' | 'acos' | 'detail_bsr';
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export type ExperimentVerdict = 'winner' | 'loser' | 'inconclusive';
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export interface ExperimentChangeAnnotation {
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