""" Cookie-less Alternatives Comparison Tool Evaluates and compares cookie-less tracking alternatives based on privacy properties, browser support, data quality, and consent requirements. Requirements: No external dependencies (uses standard library only) """ import json import os from datetime import datetime, timezone ALTERNATIVES = { "topics_api": { "name": "Topics API", "category": "interest_targeting", "provider": "Google (Chrome Privacy Sandbox)", "browser_support": {"chrome": True, "firefox": False, "safari": False, "edge": True}, "uses_cookies": False, "uses_device_storage": True, "cross_site_tracking": False, "data_granularity": "~470 topic categories", "noise_level": "5% random topic substitution", "latency": "Real-time", "consent_required": "Likely (stores data on device; jurisdiction-dependent)", "production_ready": True, "privacy_score": 8, "data_quality_score": 5, }, "attribution_reporting": { "name": "Attribution Reporting API", "category": "conversion_measurement", "provider": "Google (Chrome Privacy Sandbox)", "browser_support": {"chrome": True, "firefox": False, "safari": False, "edge": True}, "uses_cookies": False, "uses_device_storage": True, "cross_site_tracking": False, "data_granularity": "Event-level: 3 bits; Aggregate: histograms with noise", "noise_level": "Randomized trigger rate + Laplace noise", "latency": "2 days (clicks), 1 day (views)", "consent_required": "Likely (stores data on device; jurisdiction-dependent)", "production_ready": True, "privacy_score": 9, "data_quality_score": 6, }, "protected_audiences": { "name": "Protected Audiences API (FLEDGE)", "category": "remarketing", "provider": "Google (Chrome Privacy Sandbox)", "browser_support": {"chrome": True, "firefox": False, "safari": False, "edge": True}, "uses_cookies": False, "uses_device_storage": True, "cross_site_tracking": False, "data_granularity": "Interest group-level targeting", "noise_level": "K-anonymity on creatives", "latency": "Real-time (on-device auction)", "consent_required": "Likely (stores interest groups on device)", "production_ready": True, "privacy_score": 9, "data_quality_score": 6, }, "plausible_analytics": { "name": "Plausible Analytics", "category": "web_analytics", "provider": "Plausible Insights OÜ (Estonia)", "browser_support": {"chrome": True, "firefox": True, "safari": True, "edge": True}, "uses_cookies": False, "uses_device_storage": False, "cross_site_tracking": False, "data_granularity": "Aggregate (daily unique via rotated hash)", "noise_level": "None (aggregate by design)", "latency": "Real-time", "consent_required": "Varies by jurisdiction (no cookies, no PII)", "production_ready": True, "privacy_score": 10, "data_quality_score": 6, }, "fathom_analytics": { "name": "Fathom Analytics", "category": "web_analytics", "provider": "Conva Ventures Inc. (Canada)", "browser_support": {"chrome": True, "firefox": True, "safari": True, "edge": True}, "uses_cookies": False, "uses_device_storage": False, "cross_site_tracking": False, "data_granularity": "Aggregate", "noise_level": "None (aggregate by design)", "latency": "Real-time", "consent_required": "Varies by jurisdiction (no cookies, no PII)", "production_ready": True, "privacy_score": 10, "data_quality_score": 6, }, "matomo_cookieless": { "name": "Matomo (cookieless mode)", "category": "web_analytics", "provider": "InnoCraft Ltd (self-hosted)", "browser_support": {"chrome": True, "firefox": True, "safari": True, "edge": True}, "uses_cookies": False, "uses_device_storage": False, "cross_site_tracking": False, "data_granularity": "Per-visit (fingerprint hash, rotated daily)", "noise_level": "None", "latency": "Real-time", "consent_required": "Check with local DPA (fingerprinting concerns)", "production_ready": True, "privacy_score": 8, "data_quality_score": 7, }, "server_log_analysis": { "name": "Server-side log analysis", "category": "web_analytics", "provider": "Self-hosted", "browser_support": {"chrome": True, "firefox": True, "safari": True, "edge": True}, "uses_cookies": False, "uses_device_storage": False, "cross_site_tracking": False, "data_granularity": "Per-request (IP anonymized)", "noise_level": "Bot traffic (~30-50%)", "latency": "Batch processing", "consent_required": "No (operational necessity for server infrastructure)", "production_ready": True, "privacy_score": 10, "data_quality_score": 4, }, } def generate_comparison_report(org_name: str, use_cases: list[str]) -> dict: """Generate comparison report for specified use cases.""" relevant_alternatives = {} for alt_id, alt in ALTERNATIVES.items(): if alt["category"] in use_cases or "all" in use_cases: relevant_alternatives[alt_id] = alt # Cross-browser support analysis cross_browser = { alt_id: all(alt["browser_support"].values()) for alt_id, alt in relevant_alternatives.items() } return { "metadata": { "organization": org_name, "analysis_date": datetime.now(timezone.utc).isoformat(), "use_cases_evaluated": use_cases, }, "alternatives": relevant_alternatives, "cross_browser_support": cross_browser, "recommendations": { "web_analytics": { "primary": "plausible_analytics", "reason": "Cross-browser, no cookies, no PII, EU-hosted option", "fallback": "server_log_analysis", }, "conversion_measurement": { "primary": "attribution_reporting", "reason": "Privacy-preserving conversion data with noise/delay tradeoff", "limitation": "Chrome-only; no Safari/Firefox support", }, "remarketing": { "primary": "protected_audiences", "reason": "On-device auction prevents cross-site tracking", "limitation": "Chrome-only; requires advertiser JS integration", }, "interest_targeting": { "primary": "topics_api", "reason": "Coarse-grained interest categories with privacy noise", "limitation": "Chrome-only; ~470 topics vs granular cookie audiences", }, }, } def main(): """Generate cookie-less alternatives comparison for Pinnacle E-Commerce Ltd.""" report = generate_comparison_report( org_name="Pinnacle E-Commerce Ltd", use_cases=["all"], ) output_dir = os.path.join(os.path.dirname(__file__), "..", "assets", "reports") os.makedirs(output_dir, exist_ok=True) output_path = os.path.join(output_dir, "cookieless_comparison.json") with open(output_path, "w", encoding="utf-8") as f: json.dump(report, f, indent=2) print("=== Cookie-less Alternatives Comparison ===") print(f"Organization: {report['metadata']['organization']}") print(f"Alternatives evaluated: {len(report['alternatives'])}") print("\nCross-browser support:") for alt_id, supported in report["cross_browser_support"].items(): alt = report["alternatives"][alt_id] tag = "All browsers" if supported else "Chrome/Edge only" print(f" {alt['name']}: {tag}") print("\nRecommendations:") for use_case, rec in report["recommendations"].items(): alt = ALTERNATIVES.get(rec["primary"], {}) print(f" {use_case}: {alt.get('name', rec['primary'])}") print(f" Reason: {rec['reason']}") print(f"\nReport saved to {output_path}") if __name__ == "__main__": main()