GhostMyData's answer

More coverage (1,500+ brokers), lower price ($9.99/mo vs $14.98 for Incogni), free scan with 3 free trial removals (no credit card), family plans covering 5 members, and transparent compliance reporting. We also use dual search engines (Google + Brave) to find exposures competitors miss.

Attrifast's answer:

Pick by job. GA4 is free but files most AI-referred visits under "Direct" and never sees your Stripe revenue. Privacy tools like Plausible or Fathom are excellent at pageviews but stop before the payment. Attribution suites like Triple Whale, Hyros, or Northbeam do the revenue join but start at $219–$1,500/month and are built for paid-media teams. AI visibility tools like Otterly monitor mentions but can't tell you what a mention earned. Attrifast does the session-to-payment join with AI engines split out, at $9.99/month — if you need deep ad-creative analytics or enterprise media mix, the tools above are the better fit, and we say so in our comparisons.

GhostMyData's answer

We cover 1,500+ data broker sites — 3.5x more than Incogni and 17x more than DeleteMe's auto-removal. We send legally-enforceable CCPA deletion requests, not just opt-out forms. And we publish a live broker compliance report showing which brokers actually delete your data and which ignore requests.

Attrifast's answer:

Attrifast is the only analytics tool in its price range that joins three layers most vendors sell separately: cookieless web analytics, AI visibility monitoring (does ChatGPT recommend you or a rival?), and payment-verified revenue attribution. Every paid order or Stripe subscription is matched server-side to the visitor session that produced it, so channels — including AI engines like ChatGPT, Perplexity, Claude, and Gemini — are reported as revenue lines, not session counts. The tracking script is about 4 KB, sets no cookies, and needs no consent banner in most jurisdictions.

GhostMyData's answer

Privacy-conscious individuals and families who want their personal data removed from people-search sites and data brokers. Also businesses protecting employees from social engineering attacks that exploit exposed personal data.

Attrifast's answer:

Bootstrapped SaaS founders running on Stripe, Shopify and ecommerce store owners, and small marketing agencies reporting revenue to clients — typically 1–50 person companies where the founder or one marketer owns growth. The common trait: they need to know which channel actually produces paying customers, find GA4 overkill, and can't justify enterprise attribution pricing.

GhostMyData's answer

I discovered my full name, home address, phone numbers, and family members' details were publicly listed on hundreds of people-search sites — available to anyone for under a dollar. After spending 40+ hours manually submitting opt-out forms, I realized the data just comes back. So I built GhostMyData to automate the entire process.

Attrifast's answer:

Founder Vincent Ruan spent two years duct-taping GA4 exports to Stripe payouts for the Shopify store he co-ran, then watched Safari's ITP quietly erase 30%+ of his paid-search attribution overnight. When AI assistants started sending traffic that landed in GA4 as "Direct," the gap became the product: he wrote a ~4 KB first-party tracking script, wired it to Stripe webhooks, and built the channel-to-revenue join he'd been faking in spreadsheets. Attrifast also publishes original research from a 200-site Stripe-connected benchmark cohort at attrifast.com/research.

GhostMyData's answer

Next.js, React, TypeScript, Prisma ORM, PostgreSQL, Vercel, Resend for transactional email, Amazon SES for broker CCPA emails, Google and Brave Search APIs for exposure detection.

Attrifast's answer:

Next.js on Vercel for the frontend, a Node.js API with PostgreSQL, and a dependency-free ~4 KB vanilla JavaScript tracker. Attribution runs server-side: Stripe and Shopify webhooks are joined to first-party session records, with AI-engine detection based on referrer and user-agent fingerprinting rather than third-party cookies.

GhostMyData's answer

• Individual privacy-conscious consumers
• Families protecting household members (up to 5 per plan)
• Businesses protecting employee data from social engineering

Attrifast's answer:

https://www.everyexamprep.com/