[{"data":1,"prerenderedAt":318},["ShallowReactive",2],{"article-list":3,"article:mobile-ad-traffic":239},[4,18,30,44,57,70,82,94,106,119,131,144,156,168,180,193,205,217,228],{"slug":5,"path":6,"title":7,"excerpt":8,"topic":9,"tags":10,"published":14,"updated":14,"readingMinutes":15,"cover":16,"coverAlt":17},"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",[11,12,13],"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":19,"path":20,"title":21,"excerpt":22,"topic":9,"tags":23,"published":27,"updated":27,"readingMinutes":15,"cover":28,"coverAlt":29},"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.",[24,25,26],"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":31,"path":32,"title":33,"excerpt":34,"topic":35,"tags":36,"published":40,"updated":40,"readingMinutes":41,"cover":42,"coverAlt":43},"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",[37,38,39],"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":45,"path":46,"title":47,"excerpt":48,"topic":49,"tags":50,"published":54,"updated":54,"readingMinutes":41,"cover":55,"coverAlt":56},"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",[51,52,53],"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":58,"path":59,"title":60,"excerpt":61,"topic":62,"tags":63,"published":67,"updated":67,"readingMinutes":15,"cover":68,"coverAlt":69},"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",[64,65,66],"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":71,"path":72,"title":73,"excerpt":74,"topic":35,"tags":75,"published":79,"updated":79,"readingMinutes":41,"cover":80,"coverAlt":81},"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.",[76,77,78],"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":83,"path":84,"title":85,"excerpt":86,"topic":9,"tags":87,"published":91,"updated":91,"readingMinutes":15,"cover":92,"coverAlt":93},"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.",[88,89,90],"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":95,"path":96,"title":97,"excerpt":98,"topic":49,"tags":99,"published":103,"updated":103,"readingMinutes":15,"cover":104,"coverAlt":105},"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.",[100,101,102],"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":107,"path":108,"title":109,"excerpt":110,"topic":62,"tags":111,"published":115,"updated":115,"readingMinutes":116,"cover":117,"coverAlt":118},"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.",[112,113,114],"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":120,"path":121,"title":122,"excerpt":123,"topic":9,"tags":124,"published":128,"updated":128,"readingMinutes":116,"cover":129,"coverAlt":130},"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.",[125,126,127],"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":132,"path":133,"title":134,"excerpt":135,"topic":9,"tags":136,"published":140,"updated":140,"readingMinutes":141,"cover":142,"coverAlt":143},"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.",[137,138,139],"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":145,"path":146,"title":147,"excerpt":148,"topic":49,"tags":149,"published":153,"updated":153,"readingMinutes":141,"cover":154,"coverAlt":155},"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.",[150,151,152],"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":157,"path":158,"title":159,"excerpt":160,"topic":35,"tags":161,"published":165,"updated":165,"readingMinutes":141,"cover":166,"coverAlt":167},"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.",[162,163,164],"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":169,"path":170,"title":171,"excerpt":172,"topic":62,"tags":173,"published":177,"updated":177,"readingMinutes":141,"cover":178,"coverAlt":179},"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.",[174,175,176],"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":181,"path":182,"title":183,"excerpt":184,"topic":62,"tags":185,"published":189,"updated":189,"readingMinutes":190,"cover":191,"coverAlt":192},"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.",[186,187,188],"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":194,"path":195,"title":196,"excerpt":197,"topic":35,"tags":198,"published":202,"updated":202,"readingMinutes":190,"cover":203,"coverAlt":204},"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.",[199,200,201],"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":206,"path":207,"title":208,"excerpt":209,"topic":49,"tags":210,"published":214,"updated":214,"readingMinutes":190,"cover":215,"coverAlt":216},"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.",[211,212,213],"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":218,"path":219,"title":220,"excerpt":221,"topic":62,"tags":222,"published":225,"updated":225,"readingMinutes":190,"cover":226,"coverAlt":227},"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.",[223,224,201],"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":229,"path":230,"title":231,"excerpt":232,"topic":49,"tags":233,"published":236,"updated":236,"readingMinutes":190,"cover":237,"coverAlt":238},"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.",[234,201,235],"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",{"slug":45,"path":46,"title":47,"excerpt":48,"topic":49,"tags":240,"published":54,"updated":54,"readingMinutes":41,"cover":55,"coverAlt":56,"seoTitle":241,"description":242,"html":243,"toc":244,"wordCount":280,"sources":281,"related":310,"ogImage":317},[51,52,53],"Mobile Ad Traffic: Quality, Accidental Clicks and Apps","Why mobile ad traffic behaves differently, what Google says about accidental clicks, how to review in-app placements and how to compare mobile and desktop.","\u003Cp>Mobile ad traffic is the paid clicks and visits that come from phones and tablets, both in mobile browsers and inside apps. It behaves differently from desktop traffic because touchscreens, app inventory and on-the-go intent change how people click and what they do next, so it needs its own baseline and its own review rather than a straight comparison with desktop.\u003C\u002Fp>\n\u003Cp>This guide explains why mobile traffic differs, what Google says about accidental mobile ad clicks, how to review and exclude in-app placements in current Google Ads, how device segmentation and bid adjustments work, which mobile-specific fraud concepts are worth understanding, and how to compare mobile and desktop quality fairly.\u003C\u002Fp>\n\u003Ch2 id=\"why-mobile-ad-traffic-behaves-differently\">Why mobile ad traffic behaves differently\u003C\u002Fh2>\n\u003Cp>Several features of mobile use shape the numbers before any question of quality arises:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>Touch and small screens.\u003C\u002Fstrong> A fingertip is less precise than a mouse pointer, and ads often sit close to content people are trying to tap or scroll.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>App inventory.\u003C\u002Fstrong> On the Display Network, many mobile impressions are inside apps rather than web pages, and apps can place ads in ways web pages rarely do, such as full-screen interstitials between screens.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Different intent.\u003C\u002Fstrong> Mobile searchers often want to call, get directions or check one detail, so a short visit can still be a success.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Cross-device journeys.\u003C\u002Fstrong> People often research on a phone and buy later on a computer, so the value of a mobile click may show up elsewhere, or go unmeasured.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Shared networks.\u003C\u002Fstrong> Mobile carriers commonly route many subscribers through a small pool of public IP addresses, which makes address-based judgments unreliable.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>None of these is a quality problem in itself. Together, they mean mobile metrics have to be judged against mobile baselines.\u003C\u002Fp>\n\u003Ch2 id=\"accidental-mobile-ad-clicks-and-what-google-says-about-them\">Accidental mobile ad clicks and what Google says about them\u003C\u002Fh2>\n\u003Cp>Google treats accidental clicks as invalid. Its help center lists \u003Ca href=\"https:\u002F\u002Fsupport.google.com\u002Fgoogle-ads\u002Fanswer\u002F42995?hl=en\" rel=\"noopener\" class=\"ext\">clicks that occur because of poor ad placement\u003C\u002Fa> among its examples of invalid clicks, alongside automated and manual abuse, and states that advertisers won’t be charged for invalid clicks. An accidental tap is one of several kinds of ad interaction, alongside genuine, deliberately manual and automated clicks, which our guide to \u003Ca href=\"\u002Fwhat-is-an-ads-clicker\u002F\">what an ads clicker is\u003C\u002Fa> sets out.\u003C\u002Fp>\n\u003Cp>Google has also described specific measures aimed at mobile. In a \u003Ca href=\"https:\u002F\u002Fadwords.googleblog.com\u002F2015\u002F06\u002Fbetter-click-quality-on-display-ads.html\" rel=\"noopener\" class=\"ext\">2015 post on its advertising blog\u003C\u002Fa>, it said that:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>on mobile image ads, the border of the image would be treated as prone to accidental clicks, so users had to tap a more central part of the ad;\u003C\u002Fli>\n\u003Cli>the app icon in in-app interstitial install ads would no longer be clickable, leaving the call-to-action button as the way through;\u003C\u002Fli>\n\u003Cli>ads would become clickable only after being on screen for a short time.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>Treat that post as an indication of Google’s approach rather than a description of today’s exact rules, which Google does not publish in detail.\u003C\u002Fp>\n\u003Cp>On the publisher side, Google’s AdMob guidance explains where many accidental clicks begin: \u003Ca href=\"https:\u002F\u002Fsupport.google.com\u002Fadmob\u002Fanswer\u002F6275345?hl=en\" rel=\"noopener\" class=\"ext\">close proximity of banner ads to other elements within an app\u003C\u002Fa> is described as one of the biggest causes of accidental clicks, and banners should not float or hover over app content. App publishers who ignore that guidance put their own accounts at risk.\u003C\u002Fp>\n\u003Cp>For advertisers, the practical upshot is that some accidental taps are prevented or filtered, but not necessarily all. Those that remain tend to appear as very short, unengaged visits from app placements. Our explainer on \u003Ca href=\"\u002Fgoogle-ads-invalid-clicks\u002F\">how Google filters, reports and credits invalid clicks\u003C\u002Fa> covers the reporting side.\u003C\u002Fp>\n\u003Ch2 id=\"in-app-placements-how-to-review-and-exclude-them\">In-app placements: how to review and exclude them\u003C\u002Fh2>\n\u003Ch3 id=\"where-app-traffic-comes-from\">Where app traffic comes from\u003C\u002Fh3>\n\u003Cp>Google says \u003Ca href=\"https:\u002F\u002Fsupport.google.com\u002Fgoogle-ads\u002Fanswer\u002F1722057?hl=en\" rel=\"noopener\" class=\"ext\">Display Network campaigns are designed to show your ads in apps by default\u003C\u002Fa> when the placement matches your targeting. Unless you have narrowed your placements, part of your mobile Display traffic is in-app, and in-app ad traffic quality can differ sharply from mobile web.\u003C\u002Fp>\n\u003Ch3 id=\"reviewing-app-placements\">Reviewing app placements\u003C\u002Fh3>\n\u003Cp>The \u003Ca href=\"https:\u002F\u002Fsupport.google.com\u002Fgoogle-ads\u002Fanswer\u002F13787926?hl=en\" rel=\"noopener\" class=\"ext\">“Where ads showed” report\u003C\u002Fa>, reached through Insights and reports and then When and where ads showed, lists the placements where your ads appeared, including mobile apps. Google cautions that the report is not regularly updated, that it may include invalid traffic, and that over-optimizing on it can limit the inventory available to your campaigns. Use it to find apps with consistently poor engagement or lead quality across a meaningful number of clicks, not to react to a handful of bad visits.\u003C\u002Fp>\n\u003Ch3 id=\"excluding-apps\">Excluding apps\u003C\u002Fh3>\n\u003Cp>Individual apps can be \u003Ca href=\"https:\u002F\u002Fsupport.google.com\u002Fgoogle-ads\u002Fanswer\u002F2454012?hl=en\" rel=\"noopener\" class=\"ext\">excluded as placements\u003C\u002Fa> at campaign, ad group or account level, alongside website URLs and video IDs. Account-level placement exclusions now also apply to the Search partner network, including Performance Max campaigns. Google’s page on showing ads in apps also lists app categories among the available placement controls.\u003C\u002Fp>\n\u003Cp>Older shortcuts no longer work. \u003Ca href=\"https:\u002F\u002Fsupport.google.com\u002Fgoogle-ads\u002Fanswer\u002F1722057?hl=en\" rel=\"noopener\" class=\"ext\">Google says\u003C\u002Fa> Google Ads no longer supports targeting app inventory through device settings and the adsenseformobileapps.com placement, and that the former “G-mob mobile app non interstitial” content exclusion has been replaced by simplified device targeting options of computer, tablet and mobile. That page does not describe a single setting that removes all app inventory while keeping mobile web, so check your current campaign settings rather than relying on guides written for older versions of the interface. Placement exclusions are one of several controls covered in our guide to \u003Ca href=\"\u002Finvalid-click-protection\u002F\">practical invalid click protection\u003C\u002Fa>.\u003C\u002Fp>\n\u003Ch2 id=\"device-segmentation-and-mobile-bid-adjustments\">Device segmentation and mobile bid adjustments\u003C\u002Fh2>\n\u003Cp>Separate devices in every report you rely on. Google Ads can segment results by device, and comparing mobile with its own history is far more informative than comparing it with desktop.\u003C\u002Fp>\n\u003Cp>If mobile performance is consistently different, bid adjustments let you act on it. Google’s page on \u003Ca href=\"https:\u002F\u002Fsupport.google.com\u002Fgoogle-ads\u002Fanswer\u002F2732132?hl=en\" rel=\"noopener\" class=\"ext\">bid adjustments\u003C\u002Fa> sets device adjustments between -100% and +900%, and a -100% adjustment opts the campaign out of that device. With Smart Bidding, manual adjustments generally aren’t applied, several automated strategies accept only a -100% device adjustment, and Target CPA uses device adjustments to change the CPA target rather than the bids.\u003C\u002Fp>\n\u003Cp>Excluding mobile entirely is a blunt instrument. It removes accidental and invalid clicks along with real customers who simply behave differently on a phone. A narrower fix, such as excluding a few poor app placements, usually costs less. If you suspect your mobile spend is structurally inefficient rather than invalid, our guide to \u003Ca href=\"\u002Fgoogle-ads-budget-waste\u002F\">finding avoidable Google Ads spend\u003C\u002Fa> is the better starting point.\u003C\u002Fp>\n\u003Ch2 id=\"mobile-specific-fraud-concepts\">Mobile-specific fraud concepts\u003C\u002Fh2>\n\u003Cp>A few forms of abuse are particular to mobile, especially app advertising. They are described here only at the level needed to recognize them in data.\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>Click injection.\u003C\u002Fstrong> In app-install advertising, credit for an install usually goes to the last ad click before it. Click injection refers to a malicious app on the same device reporting a fake click just before an install completes, so that a fraudulent source claims credit for an install it did not cause. Google’s Campaign Manager 360 documentation of \u003Ca href=\"https:\u002F\u002Fsupport.google.com\u002Fcampaignmanager\u002Fanswer\u002F6076504?hl=en\" rel=\"noopener\" class=\"ext\">invalid traffic categories\u003C\u002Fa> lists “false attribution for installation of a mobile application” as an example of manipulated behavior.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Emulated devices.\u003C\u002Fstrong> Software can imitate phones, so that traffic generated on servers presents itself as coming from many separate mobile devices. The same classification treats traffic from data center servers whose IP addresses are linked to invalid activity as general invalid traffic.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Misleading in-app interfaces.\u003C\u002Fstrong> Ads disguised as app content, or placed to trick people into tapping them, fall under what that classification calls a misleading user interface.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>In data, these tend to show up as patterns rather than single events: installs credited to clicks that land implausibly close to the install, app placements with unusually high click-through rates and almost no engagement, or a sudden surge of “mobile” traffic whose technology values look nothing like your real audience. For the wider map, see our overview of \u003Ca href=\"\u002Fautomated-ad-traffic\u002F\">automated ad traffic, benign and malicious\u003C\u002Fa>, and for software built specifically to click ads, our explainer on \u003Ca href=\"\u002Fads-clicker-bot\u002F\">ads clicker bots and why they are prohibited\u003C\u002Fa>.\u003C\u002Fp>\n\u003Ch2 id=\"comparing-mobile-and-desktop-quality-fairly\">Comparing mobile and desktop quality fairly\u003C\u002Fh2>\n\u003Cp>Mobile and desktop rarely perform identically, and a raw comparison usually says more about mix than about quality. To compare fairly:\u003C\u002Fp>\n\u003Col>\n\u003Cli>\u003Cstrong>Hold conditions fixed.\u003C\u002Fstrong> Use the same date range, campaigns and conversion definitions for both devices.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Split mobile web from in-app.\u003C\u002Fstrong> A blended “mobile” figure can hide very different results for browsers and apps.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Count mobile-specific conversions.\u003C\u002Fstrong> Calls and direction requests may matter more on phones than form fills.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Allow for cross-device journeys.\u003C\u002Fstrong> A phone click that leads to a desktop purchase may be under-credited.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Compare engagement and lead quality, not only conversion rate.\u003C\u002Fstrong> Short sessions are normal on mobile; consistently empty ones are not.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Use enough volume.\u003C\u002Fstrong> Small samples swing widely by chance.\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Cp>As an illustration, imagine a hypothetical campaign over one month:\u003C\u002Fp>\n\u003Cdiv class=\"table-wrap\" role=\"region\" aria-label=\"Scrollable table\" tabindex=\"0\">\n\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>Segment\u003C\u002Fth>\n\u003Cth>Clicks\u003C\u002Fth>\n\u003Cth>Conversions\u003C\u002Fth>\n\u003Cth>Conversion rate\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>Desktop\u003C\u002Ftd>\n\u003Ctd>1,000\u003C\u002Ftd>\n\u003Ctd>50\u003C\u002Ftd>\n\u003Ctd>5.0%\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Mobile web\u003C\u002Ftd>\n\u003Ctd>2,000\u003C\u002Ftd>\n\u003Ctd>80\u003C\u002Ftd>\n\u003Ctd>4.0%\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>In-app\u003C\u002Ftd>\n\u003Ctd>1,000\u003C\u002Ftd>\n\u003Ctd>5\u003C\u002Ftd>\n\u003Ctd>0.5%\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>All mobile (blended)\u003C\u002Ftd>\n\u003Ctd>3,000\u003C\u002Ftd>\n\u003Ctd>85\u003C\u002Ftd>\n\u003Ctd>2.8%\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n\u003C\u002Fdiv>\n\u003Cp>Read as “mobile versus desktop”, the campaign seems to have a serious mobile problem. Split by placement type, mobile web performs close to desktop and the gap comes almost entirely from in-app placements. The sensible response is to review those app placements, not to cut mobile bids across the board. Our guide to \u003Ca href=\"\u002Fad-traffic-analysis\u002F\">segment-by-segment ad traffic analysis\u003C\u002Fa> turns this kind of comparison into a regular routine.\u003C\u002Fp>\n\u003Ch2 id=\"a-mobile-ad-traffic-review-checklist\">A mobile ad traffic review checklist\u003C\u002Fh2>\n\u003Cul>\n\u003Cli>Segment key reports by device, and split mobile Display traffic into web and app placements.\u003C\u002Fli>\n\u003Cli>Review the “Where ads showed” report regularly for apps with sustained poor engagement or lead quality.\u003C\u002Fli>\n\u003Cli>Exclude persistently poor apps individually, at the level that fits your account structure, and avoid blanket exclusions without evidence.\u003C\u002Fli>\n\u003Cli>Check the Invalid clicks column for campaigns with heavy app exposure.\u003C\u002Fli>\n\u003Cli>Make sure mobile conversion actions, such as calls, are tracked before judging mobile performance.\u003C\u002Fli>\n\u003Cli>Revisit device bid adjustments periodically, remembering how Smart Bidding treats them.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"key-takeaways\">Key takeaways\u003C\u002Fh2>\n\u003Cul>\n\u003Cli>Mobile ad traffic needs its own baselines: touchscreens, app inventory, quick intent and cross-device journeys all change how clicks and visits look.\u003C\u002Fli>\n\u003Cli>Google treats accidental clicks as invalid and has described measures to reduce them on mobile, but some stray taps can still reach your reports as short, unengaged visits.\u003C\u002Fli>\n\u003Cli>Display campaigns show ads in apps by default; review app placements in the “Where ads showed” report and exclude persistent poor performers rather than relying on retired catch-all methods.\u003C\u002Fli>\n\u003Cli>Device bid adjustments range from -100% to +900%, Smart Bidding applies them differently, and excluding mobile wholesale removes real customers too.\u003C\u002Fli>\n\u003Cli>Compare mobile and desktop fairly by holding conditions fixed and separating mobile web from in-app traffic.\u003C\u002Fli>\n\u003C\u002Ful>\n",[245,249,252,255,259,262,265,268,271,274,277],{"id":246,"text":247,"level":248},"why-mobile-ad-traffic-behaves-differently","Why mobile ad traffic behaves differently",2,{"id":250,"text":251,"level":248},"accidental-mobile-ad-clicks-and-what-google-says-about-them","Accidental mobile ad clicks and what Google says about them",{"id":253,"text":254,"level":248},"in-app-placements-how-to-review-and-exclude-them","In-app placements: how to review and exclude them",{"id":256,"text":257,"level":258},"where-app-traffic-comes-from","Where app traffic comes from",3,{"id":260,"text":261,"level":258},"reviewing-app-placements","Reviewing app placements",{"id":263,"text":264,"level":258},"excluding-apps","Excluding apps",{"id":266,"text":267,"level":248},"device-segmentation-and-mobile-bid-adjustments","Device segmentation and mobile bid adjustments",{"id":269,"text":270,"level":248},"mobile-specific-fraud-concepts","Mobile-specific fraud concepts",{"id":272,"text":273,"level":248},"comparing-mobile-and-desktop-quality-fairly","Comparing mobile and desktop quality fairly",{"id":275,"text":276,"level":248},"a-mobile-ad-traffic-review-checklist","A mobile ad traffic review checklist",{"id":278,"text":279,"level":248},"key-takeaways","Key takeaways",1758,[282,286,290,294,297,300,303,306],{"title":283,"publisher":284,"url":285},"Invalid clicks: Definition","Google Ads Help","https:\u002F\u002Fsupport.google.com\u002Fgoogle-ads\u002Fanswer\u002F42995?hl=en",{"title":287,"publisher":288,"url":289},"Better click quality on display ads improves the user and advertiser experience","Google Inside AdWords blog","https:\u002F\u002Fadwords.googleblog.com\u002F2015\u002F06\u002Fbetter-click-quality-on-display-ads.html",{"title":291,"publisher":292,"url":293},"Discouraged banner implementations","Google AdMob Help","https:\u002F\u002Fsupport.google.com\u002Fadmob\u002Fanswer\u002F6275345?hl=en",{"title":295,"publisher":284,"url":296},"Show your ads in mobile apps","https:\u002F\u002Fsupport.google.com\u002Fgoogle-ads\u002Fanswer\u002F1722057?hl=en",{"title":298,"publisher":284,"url":299},"About the \"Where ads showed\" report","https:\u002F\u002Fsupport.google.com\u002Fgoogle-ads\u002Fanswer\u002F13787926?hl=en",{"title":301,"publisher":284,"url":302},"Exclude specific webpages and videos","https:\u002F\u002Fsupport.google.com\u002Fgoogle-ads\u002Fanswer\u002F2454012?hl=en",{"title":304,"publisher":284,"url":305},"About bid adjustments","https:\u002F\u002Fsupport.google.com\u002Fgoogle-ads\u002Fanswer\u002F2732132?hl=en",{"title":307,"publisher":308,"url":309},"Filtering invalid traffic to ensure quality","Campaign Manager 360 Help","https:\u002F\u002Fsupport.google.com\u002Fcampaignmanager\u002Fanswer\u002F6076504?hl=en",[311,313,315],{"slug":132,"path":133,"title":134,"excerpt":135,"topic":9,"tags":312,"published":140,"updated":140,"readingMinutes":141,"cover":142,"coverAlt":143},[137,138,139],{"slug":157,"path":158,"title":159,"excerpt":160,"topic":35,"tags":314,"published":165,"updated":165,"readingMinutes":141,"cover":166,"coverAlt":167},[162,163,164],{"slug":107,"path":108,"title":109,"excerpt":110,"topic":62,"tags":316,"published":115,"updated":115,"readingMinutes":116,"cover":117,"coverAlt":118},[112,113,114],"\u002Fog\u002Fmobile-ad-traffic.png",1794612999659]