d803bfe2b1
git-subtree-dir: vendor/ruvector git-subtree-split: b64c21726f2bb37286d9ee36a7869fef60cc6900
510 lines
20 KiB
JavaScript
510 lines
20 KiB
JavaScript
"use strict";
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/**
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* Ad Campaign Performance Data Generation
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*
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* Generates realistic ad campaign data including:
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* - Campaign metrics (impressions, clicks, conversions, spend)
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* - Multi-channel attribution data
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* - Customer journey tracking
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* - A/B test results
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* - Cohort analysis data
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*/
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Object.defineProperty(exports, "__esModule", { value: true });
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exports.runCampaignDataExamples = runCampaignDataExamples;
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exports.generateGoogleAdsCampaign = generateGoogleAdsCampaign;
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exports.generateFacebookAdsCampaign = generateFacebookAdsCampaign;
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exports.generateTikTokAdsCampaign = generateTikTokAdsCampaign;
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exports.generateAttributionData = generateAttributionData;
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exports.generateCustomerJourneys = generateCustomerJourneys;
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exports.generateABTestResults = generateABTestResults;
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exports.generateCohortAnalysis = generateCohortAnalysis;
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exports.generateTimeSeriesCampaignData = generateTimeSeriesCampaignData;
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exports.streamCampaignData = streamCampaignData;
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exports.generateMultiPlatformBatch = generateMultiPlatformBatch;
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const index_js_1 = require("../../src/index.js");
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// Example 1: Google Ads campaign metrics
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async function generateGoogleAdsCampaign() {
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const synth = (0, index_js_1.createSynth)({
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provider: 'gemini',
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apiKey: process.env.GEMINI_API_KEY
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});
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const campaignSchema = {
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campaignId: { type: 'string', required: true },
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campaignName: { type: 'string', required: true },
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date: { type: 'string', required: true },
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platform: { type: 'string', required: true },
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adGroup: { type: 'string', required: true },
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keyword: { type: 'string', required: true },
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impressions: { type: 'number', required: true },
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clicks: { type: 'number', required: true },
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conversions: { type: 'number', required: true },
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cost: { type: 'number', required: true },
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revenue: { type: 'number', required: true },
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ctr: { type: 'number', required: true },
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cpc: { type: 'number', required: true },
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cpa: { type: 'number', required: true },
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roas: { type: 'number', required: true },
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qualityScore: { type: 'number', required: true },
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avgPosition: { type: 'number', required: true }
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};
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const result = await synth.generateStructured({
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count: 100,
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schema: campaignSchema,
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constraints: {
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platform: 'Google Ads',
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impressions: { min: 1000, max: 100000 },
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ctr: { min: 0.01, max: 0.15 },
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cpc: { min: 0.50, max: 10.00 },
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roas: { min: 0.5, max: 8.0 },
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qualityScore: { min: 1, max: 10 },
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avgPosition: { min: 1.0, max: 5.0 }
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},
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format: 'json'
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});
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console.log('Google Ads Campaign Data:');
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console.log(result.data.slice(0, 3));
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console.log('Metadata:', result.metadata);
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return result;
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}
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// Example 2: Facebook/Meta Ads campaign performance
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async function generateFacebookAdsCampaign() {
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const synth = (0, index_js_1.createSynth)({
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provider: 'gemini'
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});
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const facebookSchema = {
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adSetId: { type: 'string', required: true },
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adSetName: { type: 'string', required: true },
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adId: { type: 'string', required: true },
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adName: { type: 'string', required: true },
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date: { type: 'string', required: true },
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platform: { type: 'string', required: true },
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objective: { type: 'string', required: true },
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impressions: { type: 'number', required: true },
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reach: { type: 'number', required: true },
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frequency: { type: 'number', required: true },
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clicks: { type: 'number', required: true },
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linkClicks: { type: 'number', required: true },
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ctr: { type: 'number', required: true },
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spend: { type: 'number', required: true },
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purchases: { type: 'number', required: true },
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revenue: { type: 'number', required: true },
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cpc: { type: 'number', required: true },
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cpm: { type: 'number', required: true },
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costPerPurchase: { type: 'number', required: true },
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roas: { type: 'number', required: true },
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addToCarts: { type: 'number', required: true },
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initiateCheckout: { type: 'number', required: true },
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relevanceScore: { type: 'number', required: true }
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};
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const result = await synth.generateStructured({
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count: 150,
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schema: facebookSchema,
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constraints: {
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platform: 'Facebook Ads',
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objective: ['conversions', 'traffic', 'brand_awareness', 'video_views'],
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impressions: { min: 5000, max: 500000 },
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frequency: { min: 1.0, max: 5.0 },
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cpm: { min: 5.00, max: 50.00 },
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roas: { min: 0.8, max: 6.0 },
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relevanceScore: { min: 1, max: 10 }
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}
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});
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console.log('Facebook Ads Campaign Data:');
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console.log(result.data.slice(0, 3));
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return result;
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}
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// Example 3: TikTok Ads campaign performance
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async function generateTikTokAdsCampaign() {
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const synth = (0, index_js_1.createSynth)({
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provider: 'gemini'
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});
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const tiktokSchema = {
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campaignId: { type: 'string', required: true },
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campaignName: { type: 'string', required: true },
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adGroupId: { type: 'string', required: true },
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adId: { type: 'string', required: true },
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date: { type: 'string', required: true },
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platform: { type: 'string', required: true },
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objective: { type: 'string', required: true },
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impressions: { type: 'number', required: true },
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clicks: { type: 'number', required: true },
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spend: { type: 'number', required: true },
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conversions: { type: 'number', required: true },
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revenue: { type: 'number', required: true },
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videoViews: { type: 'number', required: true },
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videoWatchTime: { type: 'number', required: true },
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videoCompletionRate: { type: 'number', required: true },
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engagement: { type: 'number', required: true },
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shares: { type: 'number', required: true },
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comments: { type: 'number', required: true },
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likes: { type: 'number', required: true },
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follows: { type: 'number', required: true },
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ctr: { type: 'number', required: true },
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cpc: { type: 'number', required: true },
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cpm: { type: 'number', required: true },
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cpa: { type: 'number', required: true },
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roas: { type: 'number', required: true }
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};
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const result = await synth.generateStructured({
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count: 120,
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schema: tiktokSchema,
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constraints: {
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platform: 'TikTok Ads',
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objective: ['app_promotion', 'conversions', 'traffic', 'video_views'],
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impressions: { min: 10000, max: 1000000 },
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videoCompletionRate: { min: 0.1, max: 0.8 },
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cpm: { min: 3.00, max: 30.00 },
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roas: { min: 0.6, max: 7.0 }
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}
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});
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console.log('TikTok Ads Campaign Data:');
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console.log(result.data.slice(0, 3));
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return result;
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}
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// Example 4: Multi-channel attribution data
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async function generateAttributionData() {
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const synth = (0, index_js_1.createSynth)({
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provider: 'gemini'
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});
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const attributionSchema = {
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userId: { type: 'string', required: true },
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conversionId: { type: 'string', required: true },
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conversionDate: { type: 'string', required: true },
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conversionValue: { type: 'number', required: true },
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touchpoints: {
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type: 'array',
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required: true,
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items: {
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type: 'object',
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properties: {
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channel: { type: 'string' },
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campaign: { type: 'string' },
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timestamp: { type: 'string' },
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touchpointPosition: { type: 'number' },
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attributionWeight: { type: 'number' }
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}
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}
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},
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attributionModel: { type: 'string', required: true },
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firstTouch: {
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type: 'object',
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properties: {
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channel: { type: 'string' },
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value: { type: 'number' }
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}
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},
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lastTouch: {
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type: 'object',
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properties: {
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channel: { type: 'string' },
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value: { type: 'number' }
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}
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},
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linearAttribution: { type: 'object', required: false },
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timeDecayAttribution: { type: 'object', required: false },
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positionBasedAttribution: { type: 'object', required: false }
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};
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const result = await synth.generateStructured({
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count: 80,
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schema: attributionSchema,
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constraints: {
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attributionModel: ['first_touch', 'last_touch', 'linear', 'time_decay', 'position_based'],
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touchpoints: { minLength: 2, maxLength: 8 },
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conversionValue: { min: 10, max: 5000 }
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}
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});
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console.log('Multi-Channel Attribution Data:');
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console.log(result.data.slice(0, 2));
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return result;
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}
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// Example 5: Customer journey tracking
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async function generateCustomerJourneys() {
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const synth = (0, index_js_1.createSynth)({
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provider: 'gemini'
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});
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const journeySchema = {
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journeyId: { type: 'string', required: true },
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userId: { type: 'string', required: true },
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startDate: { type: 'string', required: true },
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endDate: { type: 'string', required: true },
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journeyLength: { type: 'number', required: true },
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touchpointCount: { type: 'number', required: true },
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events: {
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type: 'array',
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required: true,
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items: {
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type: 'object',
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properties: {
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timestamp: { type: 'string' },
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eventType: { type: 'string' },
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channel: { type: 'string' },
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campaign: { type: 'string' },
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device: { type: 'string' },
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location: { type: 'string' },
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pageUrl: { type: 'string' },
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duration: { type: 'number' }
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}
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}
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},
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converted: { type: 'boolean', required: true },
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conversionValue: { type: 'number', required: false },
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conversionType: { type: 'string', required: false },
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totalAdSpend: { type: 'number', required: true },
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roi: { type: 'number', required: false }
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};
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const result = await synth.generateStructured({
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count: 60,
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schema: journeySchema,
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constraints: {
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journeyLength: { min: 1, max: 30 },
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touchpointCount: { min: 1, max: 15 },
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channel: ['google_ads', 'facebook_ads', 'tiktok_ads', 'email', 'organic_search', 'direct'],
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device: ['mobile', 'desktop', 'tablet'],
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conversionType: ['purchase', 'signup', 'download', 'lead']
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}
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});
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console.log('Customer Journey Data:');
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console.log(result.data.slice(0, 2));
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return result;
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}
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// Example 6: A/B test results
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async function generateABTestResults() {
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const synth = (0, index_js_1.createSynth)({
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provider: 'gemini'
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});
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const abTestSchema = {
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testId: { type: 'string', required: true },
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testName: { type: 'string', required: true },
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startDate: { type: 'string', required: true },
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endDate: { type: 'string', required: true },
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platform: { type: 'string', required: true },
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testType: { type: 'string', required: true },
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variants: {
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type: 'array',
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required: true,
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items: {
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type: 'object',
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properties: {
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variantId: { type: 'string' },
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variantName: { type: 'string' },
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trafficAllocation: { type: 'number' },
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impressions: { type: 'number' },
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clicks: { type: 'number' },
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conversions: { type: 'number' },
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spend: { type: 'number' },
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revenue: { type: 'number' },
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ctr: { type: 'number' },
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cvr: { type: 'number' },
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cpa: { type: 'number' },
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roas: { type: 'number' }
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}
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}
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},
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winner: { type: 'string', required: false },
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confidenceLevel: { type: 'number', required: true },
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statistically_significant: { type: 'boolean', required: true },
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liftPercent: { type: 'number', required: false }
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};
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const result = await synth.generateStructured({
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count: 40,
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schema: abTestSchema,
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constraints: {
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platform: ['Google Ads', 'Facebook Ads', 'TikTok Ads'],
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testType: ['creative', 'audience', 'bidding', 'landing_page', 'headline', 'cta'],
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variants: { minLength: 2, maxLength: 4 },
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confidenceLevel: { min: 0.5, max: 0.99 }
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}
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});
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console.log('A/B Test Results:');
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console.log(result.data.slice(0, 2));
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return result;
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}
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// Example 7: Cohort analysis data
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async function generateCohortAnalysis() {
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const synth = (0, index_js_1.createSynth)({
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provider: 'gemini'
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});
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const cohortSchema = {
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cohortId: { type: 'string', required: true },
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cohortName: { type: 'string', required: true },
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acquisitionDate: { type: 'string', required: true },
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channel: { type: 'string', required: true },
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campaign: { type: 'string', required: true },
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initialUsers: { type: 'number', required: true },
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retentionData: {
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type: 'array',
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required: true,
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items: {
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type: 'object',
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properties: {
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period: { type: 'number' },
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activeUsers: { type: 'number' },
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retentionRate: { type: 'number' },
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revenue: { type: 'number' },
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avgOrderValue: { type: 'number' },
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purchaseFrequency: { type: 'number' }
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}
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}
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},
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totalSpend: { type: 'number', required: true },
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totalRevenue: { type: 'number', required: true },
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ltv: { type: 'number', required: true },
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cac: { type: 'number', required: true },
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ltvCacRatio: { type: 'number', required: true },
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paybackPeriod: { type: 'number', required: true }
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};
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const result = await synth.generateStructured({
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count: 30,
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schema: cohortSchema,
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constraints: {
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channel: ['google_ads', 'facebook_ads', 'tiktok_ads', 'email', 'organic'],
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initialUsers: { min: 100, max: 10000 },
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retentionData: { minLength: 6, maxLength: 12 },
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ltvCacRatio: { min: 0.5, max: 10.0 },
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paybackPeriod: { min: 1, max: 24 }
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}
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});
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console.log('Cohort Analysis Data:');
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console.log(result.data.slice(0, 2));
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return result;
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}
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// Example 8: Time-series campaign performance
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async function generateTimeSeriesCampaignData() {
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const synth = (0, index_js_1.createSynth)({
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provider: 'gemini'
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});
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const result = await synth.generateTimeSeries({
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count: 90,
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startDate: new Date(Date.now() - 90 * 24 * 60 * 60 * 1000),
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endDate: new Date(),
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interval: '1d',
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metrics: [
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'impressions',
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'clicks',
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'conversions',
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'spend',
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'revenue',
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'roas',
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'ctr',
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'cvr'
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],
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trend: 'up',
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seasonality: true,
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noise: 0.15,
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constraints: {
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impressions: { min: 10000, max: 100000 },
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clicks: { min: 100, max: 5000 },
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conversions: { min: 10, max: 500 },
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spend: { min: 100, max: 5000 },
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revenue: { min: 0, max: 25000 },
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roas: { min: 0.5, max: 8.0 },
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ctr: { min: 0.01, max: 0.1 },
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cvr: { min: 0.01, max: 0.15 }
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}
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});
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console.log('Time-Series Campaign Data:');
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console.log(result.data.slice(0, 7));
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console.log('Metadata:', result.metadata);
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return result;
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}
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// Example 9: Streaming real-time campaign data
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async function streamCampaignData() {
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const synth = (0, index_js_1.createSynth)({
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provider: 'gemini',
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streaming: true
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});
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console.log('Streaming campaign data:');
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let count = 0;
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for await (const dataPoint of synth.generateStream('structured', {
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count: 20,
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schema: {
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timestamp: { type: 'string', required: true },
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campaignId: { type: 'string', required: true },
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impressions: { type: 'number', required: true },
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clicks: { type: 'number', required: true },
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conversions: { type: 'number', required: true },
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spend: { type: 'number', required: true },
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revenue: { type: 'number', required: true },
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roas: { type: 'number', required: true }
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}
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})) {
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count++;
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console.log(`[${count}] Received:`, dataPoint);
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}
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}
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// Example 10: Batch generation for multiple platforms
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async function generateMultiPlatformBatch() {
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const synth = (0, index_js_1.createSynth)({
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provider: 'gemini'
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});
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const platformConfigs = [
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{
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count: 50,
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schema: {
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platform: { type: 'string' },
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impressions: { type: 'number' },
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clicks: { type: 'number' },
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spend: { type: 'number' },
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revenue: { type: 'number' },
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roas: { type: 'number' }
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},
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constraints: { platform: 'Google Ads' }
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},
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{
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count: 50,
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schema: {
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platform: { type: 'string' },
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impressions: { type: 'number' },
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clicks: { type: 'number' },
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spend: { type: 'number' },
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revenue: { type: 'number' },
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roas: { type: 'number' }
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},
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constraints: { platform: 'Facebook Ads' }
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},
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{
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count: 50,
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schema: {
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platform: { type: 'string' },
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impressions: { type: 'number' },
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clicks: { type: 'number' },
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spend: { type: 'number' },
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revenue: { type: 'number' },
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roas: { type: 'number' }
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},
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constraints: { platform: 'TikTok Ads' }
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}
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];
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const results = await synth.generateBatch('structured', platformConfigs, 3);
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console.log('Multi-Platform Batch Results:');
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results.forEach((result, i) => {
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const platforms = ['Google Ads', 'Facebook Ads', 'TikTok Ads'];
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console.log(`${platforms[i]}: ${result.metadata.count} records in ${result.metadata.duration}ms`);
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console.log('Sample:', result.data.slice(0, 2));
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});
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return results;
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|
}
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// Run all examples
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async function runCampaignDataExamples() {
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console.log('=== Example 1: Google Ads Campaign ===');
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await generateGoogleAdsCampaign();
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console.log('\n=== Example 2: Facebook Ads Campaign ===');
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await generateFacebookAdsCampaign();
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console.log('\n=== Example 3: TikTok Ads Campaign ===');
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await generateTikTokAdsCampaign();
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|
console.log('\n=== Example 4: Multi-Channel Attribution ===');
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|
await generateAttributionData();
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|
console.log('\n=== Example 5: Customer Journeys ===');
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|
await generateCustomerJourneys();
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|
console.log('\n=== Example 6: A/B Test Results ===');
|
|
await generateABTestResults();
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|
console.log('\n=== Example 7: Cohort Analysis ===');
|
|
await generateCohortAnalysis();
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|
console.log('\n=== Example 8: Time-Series Campaign Data ===');
|
|
await generateTimeSeriesCampaignData();
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|
console.log('\n=== Example 10: Multi-Platform Batch ===');
|
|
await generateMultiPlatformBatch();
|
|
}
|
|
// Uncomment to run
|
|
// runCampaignDataExamples().catch(console.error);
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|
//# sourceMappingURL=campaign-data.js.map
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