Media buyer tool 9 · Invalid Click Log Check

Is it bots, or is it your setup? Check your own click log for repeat-click patterns, without blocking real mobile users.

Load the click log your tracker or landing page already keeps. The check flags repeat clicks from one IP, burst minutes, sub-second doubles, missing or duplicate click IDs and bot or headless browsers, then shows what share of your clicks each pattern explains. IPs with many different click IDs and a conversion are marked as probably a mobile carrier or office, so you don't block real customers. You get a short, capped exclusion list.

Nothing you enter leaves your browser.

Your click or visit log (CSV)From your tracker, landing-page server or analytics export: one row per click with a timestamp and IP, plus the user agent, click ID (gclid, fbclid, ttclid or your tracker's), landing URL and a converted flag if you have them. IPv4 and IPv6 both work; IPv6 is grouped per /64, because one phone rotates addresses inside it.

Or paste the CSV

Checks (change any)Repeat window (minutes)How far back to look for clicks from the same IP.Clicks one IP may make in that windowClicks beyond this count as repeats.Burst: more than this many clicks in one minuteOnly counts when it's also 3× your usual minute.Double click: same IP and browser within (ms)1000 ms catches sub-second doubles.Shared IP: at least this many distinct click IDs or browsersWith this many click IDs and a conversion, or this many different browsers, the IP is treated as a carrier or office NAT and never excluded.Most IPs on the exclusion listKeep it short; long lists block real people.

Want me to trace one real campaign?

This tool checks the click log you loaded for repeat-click patterns from what you typed. It can't see your ad accounts, tracker, network or live traffic. If the result shows gaps, I'll look at one real campaign for free: I trace it from ad click to payout and back, and within 48 hours I send you a written report on where money or data leaks silently, the fix for each, and the tests that prove it's fixed.

A log shows patterns, not intent. In the review I check one campaign's targeting, placements and tracking for the setup errors that look like fraud (double redirects, reloading pages, partner networks you didn't mean to buy) and tell you which clicks are worth excluding.

Request the free spend-path review

Shilpa Goel, [email protected]

This is an engineering checklist, not a security audit, legal, compliance or investment advice.

Not affiliated with or endorsed by Meta, Google, TikTok or any network or tracker named here.