A marketing strategy that focuses on targeting specific accounts or organizations rather than individual consumers.

Automated software or scripts that are designed specifically to defraud the online advertising ecosystem, by generating false ad metrics.

A network of devices or accounts used to generate fraudulent clicks on ads, often through the use of bots or other automated means.

The process of serving an ad to a target audience.

Deceptive practice of generating fraudulent clicks, impressions or conversions in online advertising.

A collection of similar ads within a larger advertising campaign.

Unauthorized display of ads on websites or apps, without the knowledge or consent of the website/app owner.

Fraudulent activity by ad networks, to generate revenue for themselves by inflating ad metrics or stealing advertiser budgets.

The location of an ad on a page or screen, which can impact visibility and performance.

A metric used to determine the position of an ad in a search engine results page or other display environment.

The degree to which an ad is relevant and meaningful to its intended audience.

The process of rotating different ads in and out of an ad space to improve performance and ensure that each ad gets equal exposure.

Stealing ads from legitimate websites to display on low-quality or fraudulent sites, generating revenue for the fraudster.

Overlaying multiple ads on top of each other in a single ad unit, to maximize impressions and revenue for the fraudster.

Fraudulent manipulation of ad verification systems, to falsely certify that an ad has been displayed to a genuine audience.

Malicious software that displays unwanted ads on a user's device, often as part of a larger ad fraud scheme.

Bots or scripts that simulate user engagement with an ad, in order to increase impressions, clicks, and conversions, while deceiving the advertiser.

An illegal action where an affiliate misrepresents an offer to receive commission payments.

A group of people who install apps to generate revenue for the person or entity behind the app.

A feature that automatically reloads a page after a specified interval.

A software that automates repetitive tasks.

Deviations from typical behavior that may indicate fraud.

A plan for determining the maximum amount an advertiser is willing to pay for a given advertising placement or action.

An automated program that can perform tasks on the internet.

Automated traffic generated by bots or scripts, often used for ad fraud.

Automated programs that can perform tasks on the internet.

The percentage of visitors to a website who leave after only viewing a single page.

A feature in search engine advertising that allows an advertiser to specify keywords that must be included or excluded from a broad match query.

A representation of a target customer, based on data and research, used to inform marketing strategies.

An illegal activity where a customer disputes a legitimate charge with their bank.

A group of people who click on online ads to generate revenue for the person or entity behind the ad.

Fraudulent clicks generated on online ads, to inflate ad impressions or to generate revenue for the fraudster.

The practice of artificially inflating click counts by injecting fake clicks into a system.

The practice of clicking on ads repeatedly to generate revenue for the person or entity behind the ad.

Detection of fraudulent activity using client-side technologies, such as browser scripts.

Fraud that violates regulatory compliance requirements.

Fraudulent generation of conversions on an ad, for the purpose of receiving commissions or incentives.

The process of tracking and measuring the success of advertising campaigns in terms of conversions or other desired actions.

Planting cookies on users' computers without their knowledge, to track and fraudulently generate clicks or conversions.

Small text files stored on a user's device by a website, used to remember user preferences or actions.

A pricing model for online advertising, where the advertiser pays for every 1,000 impressions.

A program that automatically navigates and extracts data from websites.

A target audience defined by a advertiser, based on their own data such as email addresses or website visitors.

A target audience defined by a advertiser, based on user intent signals such as search terms or web pages visited.

The process of acquiring new customers for a business.

Security measures taken to prevent fraud during the customer acquisition process.

A prediction of the total value a customer will bring to a business over the course of their relationship.

A demand-side platform (DSP) that allows advertisers to buy and manage display and video advertising across various exchanges and inventory sources.

The amount of data being sent and received by a data center.

The practice of scheduling and displaying ads at specific times of the day or days of the week, based on target audience behavior patterns.

The process of creating and nurturing interest in a product or service, with the goal of generating demand and driving sales.

Traffic to a website that comes directly from a user typing the URL into their browser or clicking a bookmark, rather than from an external referral source.

A network of websites and apps where display ads can be shown to a target audience.

Faking the domain information of an ad, to trick advertisers into thinking their ads are being shown on a premium website, when in reality they are on a low-quality or fraudulent site.

The process of showing ads to a target audience based on dynamic criteria such as location, device, or user behavior.

A form of search advertising that automatically generates ads based on a website's content, rather than specific keywords.

A bidding strategy in Google Ads, where the platform automatically adjusts bids to help increase the chances of a conversion.

A keyword match type in search advertising, where ads are only shown when the exact keyword is searched for, without any additional terms.

A rate that exceeds a specified limit, indicating potential fraud.

A type of text-based ad in Google Ads, that offers a longer headline and description compared to traditional text ads.

A platform for creating, managing, and analyzing Facebook and Instagram ad campaigns.

A network of partner apps and websites where Facebook ads can be displayed to a target audience.

The process of showing ads to people who have previously interacted with a business on Facebook, to encourage them to return and complete a desired action.

Misrepresentation of information, which can be a form of fraud.

Impression data that has been manipulated or generated fraudulently.

The practice of limiting the number of times an ad is shown to a single user, to avoid over-exposure and increase relevance.

Traffic that does not meet the criteria for valid traffic, such as being generated by bots.

The practice of serving ads in a way that makes them difficult or impossible to see.

An HTML element that allows a page to be embedded within another page.

Fraudulent generation of ad impressions by bots or automated scripts, inflating ad metrics and costing advertisers.

Impressions that do not meet the criteria for valid impressions, such as being generated by bots.

Activity that is determined to be fraudulent and malicious.

Activity that is suspected to be fraudulent.

Non-human traffic generated by bots, proxy servers or other automated means, that does not represent genuine user engagement.

Traffic that does not meet the criteria for valid traffic, such as being generated by bots.

A visit to a website that is determined to be fraudulent.

A browser with JavaScript disabled, which can impact the detection of fraud.

Fraud that involves manipulating or falsifying location data.

Deviations from typical network behavior that may indicate fraudulent activity.

Fraudulent generation of clicks on PPC ads, to increase costs for the advertiser and generate revenue for the fraudster.

The practice of placing more pixels into an ad space than is specified, leading to a distorted display of the ad.

A server that acts as an intermediary between a user's device and the internet, allowing the user to hide their IP address and location.

A repeat visit to a website or page.

Fraudulent activity related to retargeting, such as falsely inflating the number of retargeted impressions.

A program or tool used to extract data from websites automatically.

Detection of fraudulent activity using server-side technologies, such as server logs.

Business intelligence data that has been manipulated or is otherwise unreliable.

Optimization that is based on unreliable or manipulated data.

The use of advanced bots to generate false installs of apps.

Invalid traffic that is generated by advanced bots or other sophisticated methods.

Advanced fraud detection methods that rely on complex algorithms to analyze user behavior and detect fraudulent activity.

Traffic that originates from a specific source, such as a particular website or channel.

A bot designed to send spam messages automatically.

Faking or falsifying information to trick an advertising system into thinking the fraudster's activity is genuine.

The practice of disguising the identity of a user's device or browser by falsifying the user-agent string.

Fraudulent generation of ad impressions that are not actually viewable by users, to inflate ad metrics and revenue for the fraudster.

An ad impression that is counted when at least 50% of the ad's pixels are in view for at least 1 second.

The portion of a user's browser window that is visible and can display an ad.

A network that uses encryption to protect online privacy and security.