[{"data":1,"prerenderedAt":246},["ShallowReactive",2],{"page:editorial-policy":3,"article-list":10},{"slug":4,"title":5,"seoTitle":6,"description":7,"updated":8,"html":9},"editorial-policy","Editorial policy","Editorial Policy: Sourcing, Corrections, Independence","How Ads Clicker researches, writes, sources, dates and corrects its guides, what it will not publish, and how AI tools are used in the editorial process.","2026-11-14","\u003Cp>This policy explains how guides on Ads Clicker are researched, written, checked and corrected. It applies to every article on the site.\u003C\u002Fp>\n\u003Ch2 id=\"independence\">Independence\u003C\u002Fh2>\n\u003Cp>Ads Clicker is an independent educational resource. It is not affiliated with Google or any other advertising platform, and it does not sell click fraud protection, traffic or click services. Banner advertising, where shown, is labeled as such and kept separate from the guides, and advertisers have no say over what the guides contain. The site does not publish sponsored articles or affiliate links.\u003C\u002Fp>\n\u003Ch2 id=\"scope\">Scope\u003C\u002Fh2>\n\u003Cp>The site explains ad clicks, click reporting, invalid traffic, click fraud and advertising measurement for people who buy or analyze paid traffic. Each guide targets one clearly defined question so that two pages do not compete to answer the same thing.\u003C\u002Fp>\n\u003Ch2 id=\"sourcing-standards\">Sourcing standards\u003C\u002Fh2>\n\u003Cul>\n\u003Cli>Statements about how an advertising platform works, what its policies say or how an industry standard defines a term are linked to the primary source, such as Google Ads Help, Google Analytics Help, Google Search Central or the relevant standards body.\u003C\u002Fli>\n\u003Cli>Every guide lists its sources at the end, and each listed source is cited in the text.\u003C\u002Fli>\n\u003Cli>Statistics are published only when they come from a named, linked source. The site does not invent figures, surveys, case studies, quotes or experts.\u003C\u002Fli>\n\u003Cli>Examples are labeled as illustrative. Numbers in examples are round and hypothetical, and they are never presented as measured results.\u003C\u002Fli>\n\u003Cli>Platforms update their documentation and interfaces often. Where a feature name or limit matters, the guide links to the page that defines it so readers can check the current wording.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"what-we-will-not-publish\">What we will not publish\u003C\u002Fh2>\n\u003Cul>\n\u003Cli>Instructions, code, configurations or tool recommendations for generating artificial ad clicks or impressions.\u003C\u002Fli>\n\u003Cli>Techniques for evading invalid-traffic detection, fingerprinting, proxies or similar measures.\u003C\u002Fli>\n\u003Cli>Accusations against named companies or people without public, verifiable evidence.\u003C\u002Fli>\n\u003Cli>Fabricated reviews, ratings, testimonials or credentials, including in structured data.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>Bots and fraud are covered at a conceptual level: what they are, why they are prohibited, how they show up in data and how advertisers can respond.\u003C\u002Fp>\n\u003Ch2 id=\"dates\">Dates\u003C\u002Fh2>\n\u003Cp>Each guide shows its publication date. When a guide is revised in a way that changes its substance, the “updated” date changes as well, so readers can see how current the information is.\u003C\u002Fp>\n\u003Ch2 id=\"use-of-ai-tools\">Use of AI tools\u003C\u002Fh2>\n\u003Cp>Guides are researched and drafted with the help of AI writing tools. Before publication, statements are checked against the primary sources they cite, and claims that cannot be verified are removed or stated more generally. Responsibility for the published content rests with Ads Clicker.\u003C\u002Fp>\n\u003Ch2 id=\"corrections\">Corrections\u003C\u002Fh2>\n\u003Cp>If you find an error, an outdated statement or a broken source link, email \u003Ca href=\"mailto:contact@ads-clicker.com\">contact@ads-clicker.com\u003C\u002Fa> with the page address and the issue. Confirmed errors are corrected promptly, and substantive corrections update the guide’s “updated” date.\u003C\u002Fp>\n\u003Ch2 id=\"trademarks\">Trademarks\u003C\u002Fh2>\n\u003Cp>Google Ads, Google Analytics and AdSense are trademarks of Google LLC. Other product names belong to their owners. They are used here only to identify the products being discussed.\u003C\u002Fp>\n",[11,25,37,51,64,77,89,101,113,126,138,151,163,175,187,200,212,224,235],{"slug":12,"path":13,"title":14,"excerpt":15,"topic":16,"tags":17,"published":21,"updated":21,"readingMinutes":22,"cover":23,"coverAlt":24},"advertising-reporting-mistakes","\u002Fadvertising-reporting-mistakes\u002F","Advertising Reporting Mistakes: 10 Common Errors and How to Fix Them","Most misleading ad reports come from a handful of predictable errors. Learn why clicks and sessions differ, how Google Ads dates conversions and how to stop double counting.","measurement",[18,19,20],"advertising reporting mistakes","google ads reporting errors","misreading ad data","2026-11-13",9,"\u002Fcovers\u002Fadvertising-reporting-mistakes.svg","Diagram of a reliable reporting process shown as four connected steps: define, align, compare and annotate",{"slug":26,"path":27,"title":28,"excerpt":29,"topic":16,"tags":30,"published":34,"updated":34,"readingMinutes":22,"cover":35,"coverAlt":36},"ad-attribution","\u002Fad-attribution\u002F","Ad Attribution: How Conversion Credit Is Assigned and Where It Falls Short","Attribution divides credit for a conversion among ad interactions, but it does not prove the ads caused the sale. This guide covers what current models do and how to read them.",[31,32,33],"ad attribution","attribution models google ads","data-driven attribution","2026-11-10","\u002Fcovers\u002Fad-attribution.svg","Diagram of ad interactions passing through a conversion window and an attribution model before credit is assigned",{"slug":38,"path":39,"title":40,"excerpt":41,"topic":42,"tags":43,"published":47,"updated":47,"readingMinutes":48,"cover":49,"coverAlt":50},"campaign-performance-investigation","\u002Fcampaign-performance-investigation\u002F","Google Ads Performance Investigation: A Step-by-Step Diagnostic Order","When results change suddenly, the order of your checks matters. This diagnostic sequence rules out tracking, account changes and market shifts before blaming fraud.","click-fraud",[44,45,46],"google ads performance investigation","campaign diagnostics","performance drop","2026-11-08",8,"\u002Fcovers\u002Fcampaign-performance-investigation.svg","Diagram of a diagnostic sequence shown as four connected steps: tracking, changes, market and traffic",{"slug":52,"path":53,"title":54,"excerpt":55,"topic":56,"tags":57,"published":61,"updated":61,"readingMinutes":48,"cover":62,"coverAlt":63},"mobile-ad-traffic","\u002Fmobile-ad-traffic\u002F","Mobile Ad Traffic: Accidental Clicks, In-App Placements and Fair Comparisons","Phones produce more stray taps, more app inventory and shorter visits. Learn to judge mobile traffic on its own terms, review in-app placements and spot patterns worth investigating.","ads-clickers",[58,59,60],"mobile ad traffic","accidental mobile ad clicks","in-app ad traffic quality","2026-11-06","\u002Fcovers\u002Fmobile-ad-traffic.svg","Diagram of four connected steps for reviewing mobile ad traffic: segment, placements, quality and adjust",{"slug":65,"path":66,"title":67,"excerpt":68,"topic":69,"tags":70,"published":74,"updated":74,"readingMinutes":22,"cover":75,"coverAlt":76},"google-ads-location-targeting","\u002Fgoogle-ads-location-targeting\u002F","Google Ads Location Targeting: Options, Exclusions and Reports Explained","Location settings decide who can see and click your ads. Learn how Google estimates location, why out-of-area clicks happen and how to set targeting on purpose.","google-ads",[71,72,73],"google ads location targeting","presence or interest","location exclusions","2026-11-03","\u002Fcovers\u002Fgoogle-ads-location-targeting.svg","Diagram of location setup shown as four connected steps: target, option, exclude and report",{"slug":78,"path":79,"title":80,"excerpt":81,"topic":42,"tags":82,"published":86,"updated":86,"readingMinutes":48,"cover":87,"coverAlt":88},"suspicious-ad-sessions","\u002Fsuspicious-ad-sessions\u002F","Suspicious Ad Sessions: How to Read Them Without Jumping to Conclusions","A single odd visit proves very little. Learn to examine individual paid sessions, separate real warning signs from harmless quirks and decide when to escalate.",[83,84,85],"suspicious ad sessions","investigate suspicious traffic","unusual ad sessions","2026-11-01","\u002Fcovers\u002Fsuspicious-ad-sessions.svg","Diagram of four connected steps for reviewing a suspicious ad session: session, signals, explanations and escalate",{"slug":90,"path":91,"title":92,"excerpt":93,"topic":16,"tags":94,"published":98,"updated":98,"readingMinutes":22,"cover":99,"coverAlt":100},"ad-click-tracking","\u002Fad-click-tracking\u002F","Ad Click Tracking: Following a Click from the Ad to Your Analytics","Follow one ad click from the auction to your analytics report, see where identifiers are added or lost along the way, and use a checklist to keep tracking healthy.",[95,96,97],"ad click tracking","gclid","auto-tagging","2026-10-29","\u002Fcovers\u002Fad-click-tracking.svg","Diagram of an ad click carrying a click identifier to the landing page and becoming an analytics session",{"slug":102,"path":103,"title":104,"excerpt":105,"topic":56,"tags":106,"published":110,"updated":110,"readingMinutes":22,"cover":111,"coverAlt":112},"bot-traffic-detection","\u002Fbot-traffic-detection\u002F","Bot Traffic Detection: Finding Non-Human Visits in Analytics and Server Logs","A practical method for spotting non-human sessions: built-in filtering, analytics anomalies, server-log evidence, crawler verification and the limits of each signal.",[107,108,109],"bot traffic detection","bot traffic in analytics","server logs","2026-10-27","\u002Fcovers\u002Fbot-traffic-detection.svg","Diagram of a bot detection workflow moving from built-in filters to analytics review to server logs to crawler verification",{"slug":114,"path":115,"title":116,"excerpt":117,"topic":69,"tags":118,"published":122,"updated":122,"readingMinutes":123,"cover":124,"coverAlt":125},"google-ads-budget-waste","\u002Fgoogle-ads-budget-waste\u002F","Google Ads Budget Waste: How to Find and Fix Avoidable Spend","Most wasted spend in Google Ads comes from settings, search terms and tracking rather than fraud. Here is how to find it, check it and decide what to fix first.",[119,120,121],"google ads budget waste","wasted ad spend","campaign budget analysis","2026-10-25",11,"\u002Fcovers\u002Fgoogle-ads-budget-waste.svg","Diagram of a budget review shown as four connected steps: spend, segment, diagnose and fix",{"slug":127,"path":128,"title":129,"excerpt":130,"topic":16,"tags":131,"published":135,"updated":135,"readingMinutes":123,"cover":136,"coverAlt":137},"cost-per-click-measurement","\u002Fcost-per-click-measurement\u002F","Cost per Click Measurement: Actual CPC, Average CPC and Fair Comparisons","Average CPC blends many separate auction prices. See what sets each price, why the blend shifts even when prices don't, and how to judge CPC against results.",[132,133,134],"cost per click measurement","average cpc","actual cpc","2026-10-22","\u002Fcovers\u002Fcost-per-click-measurement.svg","Diagram showing max CPC, actual CPC, average CPC and cost per result as connected steps",{"slug":139,"path":140,"title":141,"excerpt":142,"topic":16,"tags":143,"published":147,"updated":147,"readingMinutes":148,"cover":149,"coverAlt":150},"ad-traffic-analysis","\u002Fad-traffic-analysis\u002F","Ad Traffic Analysis: How to Judge the Quality of Paid Traffic by Segment","Traffic quality is not the same as conversion rate. Here is a segment-by-segment routine for reviewing paid traffic every week, with a simple scorecard and a worked example.",[144,145,146],"ad traffic analysis","advertising traffic quality","traffic quality metrics","2026-10-20",10,"\u002Fcovers\u002Fad-traffic-analysis.svg","Diagram of a recurring traffic review with segment, measure, compare and act shown as connected steps",{"slug":152,"path":153,"title":154,"excerpt":155,"topic":56,"tags":156,"published":160,"updated":160,"readingMinutes":148,"cover":161,"coverAlt":162},"automated-ad-traffic","\u002Fautomated-ad-traffic\u002F","Automated Ad Traffic: A Map of the Bots and Scripts That Touch Your Ads","Not every non-human visit is fraud. This taxonomy covers crawlers, prefetching, verification tools and sophisticated invalid traffic, and what each means for advertisers.",[157,158,159],"automated ad traffic","sophisticated invalid traffic","non-human traffic","2026-10-18","\u002Fcovers\u002Fautomated-ad-traffic.svg","Diagram mapping automated ad traffic from benign bots to general invalid traffic to sophisticated invalid traffic to the advertiser's response",{"slug":164,"path":165,"title":166,"excerpt":167,"topic":42,"tags":168,"published":172,"updated":172,"readingMinutes":148,"cover":173,"coverAlt":174},"invalid-click-protection","\u002Finvalid-click-protection\u002F","Invalid Click Protection: What Advertisers Can Actually Control","No setting makes a campaign immune to bad clicks. See how Google's filtering, your own campaign controls and outside tools fit together, and where each one stops working.",[169,170,171],"invalid click protection","click fraud protection","ip exclusions google ads","2026-10-15","\u002Fcovers\u002Finvalid-click-protection.svg","Diagram of four connected layers of invalid click protection: google filtering, your controls, lead checks and review",{"slug":176,"path":177,"title":178,"excerpt":179,"topic":69,"tags":180,"published":184,"updated":184,"readingMinutes":148,"cover":185,"coverAlt":186},"google-ads-click-fraud","\u002Fgoogle-ads-click-fraud\u002F","Google Ads Click Fraud: Who Commits It, Where It Happens and How to Report It","Click fraud is the deliberate part of invalid traffic. Learn who is behind it, how exposure differs by network and how to report a case to Google without overreacting.",[181,182,183],"google ads click fraud","report click fraud","competitor clicking ads","2026-10-13","\u002Fcovers\u002Fgoogle-ads-click-fraud.svg","Diagram of four connected steps for handling click fraud: motive, exposure, signals and report",{"slug":188,"path":189,"title":190,"excerpt":191,"topic":69,"tags":192,"published":196,"updated":196,"readingMinutes":197,"cover":198,"coverAlt":199},"google-ads-invalid-clicks","\u002Fgoogle-ads-invalid-clicks\u002F","Google Ads Invalid Clicks: How Google Filters, Reports and Credits Them","Google filters most invalid activity before you pay. Here are the definitions, the reporting columns, the credit process and what Google will and will not tell you.",[193,194,195],"google ads invalid clicks","invalid click rate","invalid click credits","2026-10-10",12,"\u002Fcovers\u002Fgoogle-ads-invalid-clicks.svg","Diagram of four connected steps for invalid clicks: detect, filter, report and credit",{"slug":201,"path":202,"title":203,"excerpt":204,"topic":42,"tags":205,"published":209,"updated":209,"readingMinutes":197,"cover":210,"coverAlt":211},"click-fraud-detection","\u002Fclick-fraud-detection\u002F","Click Fraud Detection: How to Recognize and Evidence Suspicious Clicks","Suspicious clicks are easy to suspect and hard to prove. Learn to compare traffic with baselines, rule out ordinary causes and document a case Google can review.",[206,207,208],"click fraud detection","suspicious click indicators","invalid clicks","2026-10-08","\u002Fcovers\u002Fclick-fraud-detection.svg","Diagram of four connected steps in click fraud detection: baseline, anomaly, evidence and request",{"slug":213,"path":214,"title":215,"excerpt":216,"topic":56,"tags":217,"published":221,"updated":221,"readingMinutes":197,"cover":222,"coverAlt":223},"ads-clicker-bot","\u002Fads-clicker-bot\u002F","Ads Clicker Bots: What They Are, Why They Fail and How They Are Caught","A conceptual guide to click bots: what they try to imitate, the motives behind them, the policy and legal risks, and the signals that expose automated clicking.",[218,219,220],"ads clicker bot","click bot","invalid traffic","2026-10-06","\u002Fcovers\u002Fads-clicker-bot.svg","Diagram of a click bot's path from motive to imitation to detection signals to filtering",{"slug":225,"path":226,"title":227,"excerpt":228,"topic":69,"tags":229,"published":232,"updated":232,"readingMinutes":197,"cover":233,"coverAlt":234},"google-ads-clicker","\u002Fgoogle-ads-clicker\u002F","Google Ads Clicker: How Google Ads Counts, Filters and Bills Clicks","The phrase covers everything from click bots to worried advertisers. Here is how a click is really recorded, filtered and charged, and how to audit your own traffic.",[230,231,208],"google ads clicker","google ads clicks","2026-10-03","\u002Fcovers\u002Fgoogle-ads-clicker.svg","Diagram of a Google Ads click passing through four connected steps: click, filter, report and bill",{"slug":236,"path":237,"title":238,"excerpt":239,"topic":56,"tags":240,"published":243,"updated":243,"readingMinutes":197,"cover":244,"coverAlt":245},"what-is-an-ads-clicker","\u002Fwhat-is-an-ads-clicker\u002F","What Is an Ads Clicker? Meaning, Contexts and Common Misconceptions","The phrase can mean a click bot, a paid clicker, a protest extension or a simple click counter. Here is what each sense means and how ad platforms treat those clicks.",[241,208,242],"what is an ads clicker","pay-per-click","2026-10-01","\u002Fcovers\u002Fwhat-is-an-ads-clicker.svg","Diagram of an ad click moving from impression to click to invalid-click filtering to billing",1794613000221]