E-commerce Analytics Powered by URL Categorization

// Example: Build comprehensive e-commerce competitive database
async function buildCompetitiveDatabase(targetCategories) {
    const database = [];

    for (const category of targetCategories) {
        // Query all e-commerce domains in category
        const domains = await urlCategorization.query({
            iab_category: category,
            filters: {
                is_ecommerce: true,
                has_shopping_cart: true
            }
        });

        for (const domain of domains) {
            database.push({
                domain: domain.name,
                primary_category: category,
                all_categories: domain.iab_v3_categories,
                traffic_tier: domain.popularity_rank,
                personas: domain.personas,
                company_type: classifyCompanyType(domain),
                geo_markets: domain.languages,
                last_updated: new Date()
            });
        }
    }

    return database;
}

// Example: Consumer behavior analysis by category
async function analyzeShopperBehavior(category) {
    const retailers = await urlCategorization.query({
        iab_category: category,
        is_ecommerce: true
    });

    // Aggregate persona data across category
    const personaFrequency = {};
    retailers.forEach(retailer => {
        retailer.personas.forEach(persona => {
            personaFrequency[persona.id] = (personaFrequency[persona.id] || 0) + 1;
        });
    });

    return {
        category: category,
        total_retailers: retailers.length,
        dominant_personas: sortByFrequency(personaFrequency).slice(0, 10),
        persona_overlap: calculateOverlapMatrix(retailers),
        shopper_profile: buildCompositeProfile(personaFrequency)
    };
}

// Example response structure
const sampleAnalysis = {
    category: "Home & Garden > Furniture",
    total_retailers: 4832,
    dominant_personas: [
        { id: "homeowner", name: "Homeowner", frequency: 4521 },
        { id: "interior_design", name: "Interior Design Enthusiast", frequency: 3845 },
        { id: "first_home_buyer", name: "First-Time Homebuyer", frequency: 2934 }
    ],
    market_structure: {
        top_10_share: 0.34,
        long_tail_count: 3521,
        platform_distribution: {
            "Shopify": 0.42,
            "WooCommerce": 0.28,
            "Custom": 0.18
        }
    }
};