Adtech Glossary

Ad Fraud refers to deliberate activities that generate fake ad impressions, clicks, or conversions to defraud advertisers. Common types include bot traffic (automated scripts simulating human behavior), domain spoofing (misrepresenting inventory quality), pixel stuffing (tiny invisible ads), and ad stacking (layering ads on top of each other). Ad fraud costs the industry billions annually and is combated through detection tools, ads.txt, sellers.json, and supply path optimization.

Ad Podding is the practice of grouping multiple video ads into a single ad break, similar to traditional TV commercial breaks. Ad pods typically contain 2-4 ads and are served during OTT/CTV content. Podding enables sequential storytelling, competitive separation (preventing competitor ads in the same pod), and frequency capping across the pod. It mirrors the familiar TV viewing experience and helps publishers maximize CTV ad revenue while maintaining a quality user experience.

Ad Verification is the process of independently confirming that ads are served correctly, safely, and as intended across the digital advertising supply chain. Verification vendors like DoubleVerify (DV), Integral Ad Science (IAS), and Moat (Oracle) provide solutions for viewability measurement, brand safety, fraud detection (IVT filtering), and geo-verification. Ad verification can be deployed pre-bid (blocking before purchase) or post-bid (monitoring after delivery), and is essential for transparency and accountability in programmatic advertising.

App Tracking Transparency (ATT) is an Apple privacy framework introduced in iOS 14.5 requiring apps to obtain explicit user permission before tracking their activity across other companies' apps and websites. ATT drastically reduced the availability of the IDFA (Identifier for Advertisers), with opt-in rates averaging 20-25%. ATT disrupted mobile advertising measurement, retargeting, and attribution, driving the industry toward SKAdNetwork and privacy-preserving measurement alternatives.

Attribution is the process of identifying and assigning credit to the marketing touchpoints that contribute to a desired outcome, such as a purchase or sign-up. Attribution models include last-click (100% credit to final touch), first-click, linear (equal credit), time-decay, position-based, and data-driven (algorithmic). Multi-Touch Attribution (MTA) distributes credit across all touchpoints in the customer journey, providing a more accurate picture of campaign effectiveness than single-touch models.

ads.txt (Authorized Digital Sellers) is an IAB Tech Lab standard that helps prevent unauthorized inventory sales and domain spoofing. Publishers place an ads.txt file on their web servers listing all companies authorized to sell their ad inventory. DSPs check this file before bidding, ensuring they only buy from authorized sellers. This transparency helps buyers avoid fraudulent inventory and ensures publishers receive revenue from legitimate sales. sellers.json is the companion standard for SSPs to declare their publisher relationships.

Brand Safety refers to the practices and technologies that protect a brand's reputation by ensuring ads don't appear alongside inappropriate, harmful, or contextually misaligned content. Brand safety encompasses pre-bid filtering (blocking content categories before bidding), post-bid verification, inclusion lists, and exclusion lists. The IAB Brand Safety Floor and the Global Alliance for Responsible Media (GARM) provide industry standards. Brand suitability goes beyond safety to match ads with contextually relevant environments, enhancing campaign effectiveness.

The California Consumer Privacy Act (CCPA), enhanced by the California Privacy Rights Act (CPRA), is a state-level privacy law granting California residents rights over their personal data. It requires businesses to disclose data collection practices, allow consumers to opt out of data sales/sharing, and delete personal data on request. CPRA added additional protections including sensitive data categories and established the California Privacy Protection Agency. It is the U.S. equivalent of GDPR in many respects.

CPC (Cost Per Click) is a pricing model where advertisers pay only when a user clicks on their ad. CPC is the dominant model in search advertising (Google Ads, Microsoft Ads) and is common in social media advertising. CPC pricing aligns advertiser cost with user engagement, making it popular for performance and direct-response campaigns. CPC rates vary widely by industry, platform, and competition, with search ads typically ranging from $1 to $50+ per click.

CPM (Cost Per Mille, or Cost Per Thousand) is a pricing model where advertisers pay a fixed amount for every 1,000 ad impressions served. CPM is the most common pricing model in programmatic display, video, and CTV advertising. For example, a $5 CPM means the advertiser pays $5 for every 1,000 ad impressions. CPM is favored by publishers and brand advertisers focused on reach and awareness, while CPC and CPA models are more common for performance campaigns.

Click-Through Rate (CTR) is a metric that measures the percentage of users who click on an ad after seeing it. CTR is calculated as: (Total Clicks / Total Impressions) x 100. A display ad with 1,000 impressions and 10 clicks has a 1% CTR. CTR is a key indicator of ad creative effectiveness, targeting relevance, and audience engagement. Average CTRs vary by format: display (0.35%), search (3-5%), and social media (1-2%), with CTV ads requiring different engagement metrics.

Connected TV (CTV) refers to television sets connected to the internet, enabling streaming video content and programmatic advertising. CTV includes smart TVs (Samsung, LG, Roku), streaming devices (Apple TV, Fire TV, Chromecast), and gaming consoles. CTV advertising combines the reach and impact of traditional TV with the targeting, measurement, and interactivity of digital advertising, making it one of the fastest-growing segments in digital ad spending.

Contextual Targeting is an advertising strategy that serves ads based on the content and context of the web page or app where the ad appears, rather than on user-level behavioral data. Contextual targeting analyzes page content (keywords, topics, sentiment, imagery) to match ads with relevant environments. With third-party cookie deprecation and privacy regulations, contextual targeting has experienced a resurgence, enhanced by AI-powered contextual analysis that can understand page context at a semantic and visual level.

Cookieless Advertising refers to digital ad targeting, measurement, and personalization strategies that do not rely on third-party cookies. With Google Chrome's deprecation of third-party cookies and increasing privacy regulations (GDPR, CCPA), the industry is shifting to alternative identity solutions: first-party data, contextual targeting, Google's Privacy Sandbox APIs (Topics, Protected Audience), data clean rooms, universal IDs (Unified ID 2.0), and cohort-based targeting.

A Customer Data Platform (CDP) is software that unifies a company's customer data from all sources (website, CRM, email, offline, mobile) into a single, persistent customer profile. Unlike DMPs (which rely on third-party data and are anonymous), CDPs focus on first-party data, are PII-based, and are accessible to marketing, sales, and service teams. CDPs enable personalization, audience activation across channels, and are central to post-cookie strategies. Leading CDPs include Segment, Tealium, mParticle, and Adobe Real-Time CDP.

A Data Management Platform (DMP) is software that collects, organizes, and activates third-party audience data for use in advertising campaigns. DMPs aggregate data from multiple sources (data providers, publishers, first-party CRM), segment audiences based on behavior and demographics, and push these segments to DSPs and other activation channels. However, DMPs have been declining due to third-party cookie deprecation, with many advertisers shifting to Customer Data Platforms (CDPs) that focus on first-party data.

A Deal ID is a unique identifier assigned to a specific programmatic deal between a buyer and seller, enabling them to transact on pre-negotiated terms within the programmatic ecosystem. Deal IDs carry information about the deal type (PMP, PG), negotiated price, targeting parameters, and inventory specifications. They allow buyers and sellers to maintain their direct relationship while leveraging programmatic automation for delivery, targeting, and reporting.

A Demand-Side Platform (DSP) is software that enables advertisers and agencies to buy digital ad inventory programmatically across multiple ad exchanges and supply sources through a single interface. DSPs allow buyers to set targeting parameters, budgets, and bidding strategies, then automatically purchase impressions via real-time bidding. Leading DSPs include The Trade Desk, Amazon DSP, and Google's Display & Video 360 (DV360).

Dynamic Creative Optimization (DCO) is a programmatic technology that automatically assembles and serves personalized ad creatives in real time based on data signals like user behavior, location, weather, device, and product feed. DCO dynamically adjusts creative elements (headline, image, call-to-action, offer) to maximize relevance and performance for each impression. DCO is powered by creative management platforms and is increasingly enhanced by generative AI for automated, data-driven creative variation at scale.

In a first-price auction, the winning bidder pays exactly the amount they bid. This is the dominant auction model in programmatic advertising since the industry-wide shift in 2019 from second-price to first-price auctions. First-price auctions encourage buyers to bid their true value but can lead to overpayment if bidders don't have sufficient bid shading strategies. The shift aimed to increase transparency and reduce bid manipulation.

A floor price (or reserve price) is the minimum CPM a publisher is willing to accept for their ad inventory in a programmatic auction. If no bid meets or exceeds the floor price, the impression goes unsold or is passed to the next demand source. Publishers use dynamic floor prices to optimize yield, adjusting them in real time based on demand patterns, historical data, and inventory value.

The General Data Protection Regulation (GDPR) is a comprehensive data privacy law enacted by the European Union in 2018. It governs the collection, processing, storage, and transfer of personal data of EU residents. For digital advertising, GDPR requires explicit user consent for cookies and tracking technologies, mandates data subject rights (access, deletion, portability), and imposes fines of up to 4% of global annual revenue for violations. GDPR fundamentally reshaped consent management and data practices in adtech.

Generative AI in Advertising refers to the use of large language models (LLMs) and image/video generation AI to automate and enhance ad creative production, copywriting, audience targeting, and campaign optimization. Applications include AI-generated ad copy, dynamic creative optimization (DCO), automated A/B testing, conversational ad experiences, and predictive audience modeling. Generative AI dramatically reduces creative production costs and enables hyper-personalization at scale, though it raises concerns about brand safety, copyright, and ad authenticity.

Header Bidding is an advanced programmatic technique where publishers offer ad inventory to multiple ad exchanges simultaneously before making a call to their ad server. This allows demand sources to compete fairly for impressions, rather than a sequential 'waterfall' approach. Header bidding increases publisher yield by 10-40% and improves fill rates, but requires careful implementation to manage latency. Server-side header bidding moves this process off the user's browser to a server.

ID5 is a universal, privacy-compliant identity solution that provides a shared, cross-platform identifier for digital advertising without third-party cookies. ID5 creates user IDs through a combination of hashed email data, partner IDs, and probabilistic modeling, with user consent as a prerequisite. ID5 is an open, free alternative to proprietary IDs like UID2, designed to be adopted across the ecosystem by DSPs, SSPs, and data providers to maintain addressable audiences in a post-cookie world.

An Insertion Order (IO) is a formal agreement between an advertiser (or agency) and a publisher that outlines the terms of an advertising campaign. The IO specifies campaign details including ad placements, flight dates, targeting parameters, total budget, CPM/CPC rates, volume commitments, and payment terms. IOs are the traditional mechanism for direct media buying and are still used in Programmatic Guaranteed and direct deals, though programmatic automation is increasingly replacing manual IO workflows.

The Interactive Advertising Bureau (IAB) is a nonprofit industry trade group that develops technical standards, conducts research, and provides legal and public policy advocacy for the digital advertising industry. IAB's standards include VAST, VPAID, OpenRTB, ads.txt, and sellers.json. The IAB Tech Lab develops open-source technical standards that ensure interoperability across the adtech ecosystem. IAB also publishes research on ad spend, consumer trends, and best practices for digital advertising.

Invalid Traffic (IVT) refers to ad impressions generated by non-human traffic or fraudulent activity, as opposed to genuine human users. IVT is categorized as General Invalid Traffic (GIVT) — known bots, data center traffic, crawlers — and Sophisticated Invalid Traffic (SIVT) — hijacked devices, botnets, ad injection, domain spoofing. IVT drains advertising budgets and distorts performance metrics. Ad verification vendors like DoubleVerify, IAS, and Moat detect and filter IVT, with MRC providing accreditation standards for IVT measurement.

Marketing Mix Modeling (MMM) is a statistical analysis technique that uses historical aggregate data and regression analysis to quantify the impact of various marketing and non-marketing factors on business outcomes like sales. MMM analyzes how different channels (TV, digital, print, out-of-home) contribute to results over time. Unlike MTA, MMM is privacy-resilient because it uses aggregated data rather than user-level tracking, making it increasingly popular in the post-cookie era.

The Media Rating Council (MRC) is an independent, nonprofit industry organization that accredits digital and traditional media measurement vendors in the U.S. The MRC establishes measurement standards for viewability, ad fraud (IVT), audience measurement, and cross-media measurement. MRC accreditation is the industry's seal of approval, indicating that a vendor's measurement methodology has been audited for accuracy, consistency, and compliance with industry standards. MRC works alongside the IAB to develop and enforce measurement standards.

Multi-Touch Attribution (MTA) is an advanced attribution methodology that assigns fractional credit to every marketing touchpoint along the consumer journey, rather than giving all credit to a single interaction (e.g., last-click). MTA uses statistical models to determine the relative contribution of each channel, campaign, and creative. However, MTA faces growing challenges from privacy regulations and cookie deprecation, leading many advertisers to adopt Marketing Mix Modeling (MMM) and incrementality testing.

An Open Auction (also called open exchange or open marketplace) is a public programmatic auction where any advertiser can bid on available ad inventory in real time. It is the most common form of RTB, offering maximum scale and reach but with less transparency and control compared to private marketplaces. Open auctions typically yield lower CPMs for publishers but provide maximum fill rates and monetization of remnant inventory.

OpenRTB (Open Real-Time Bidding) is an IAB protocol that standardizes the communication between DSPs and SSPs during programmatic auctions. OpenRTB defines the JSON-based bid request (what the SSP sends to the DSP, including user data, page context, and impression details) and bid response (the DSP's bid price, creative, and targeting). OpenRTB 2.5 is the most widely adopted version, while OpenRTB 3.0 introduces improved transparency, supply chain object (schain), and enhanced user privacy controls.

Over-the-Top (OTT) refers to streaming video content delivered directly to viewers over the internet, bypassing traditional cable, satellite, or broadcast television. OTT includes subscription services (Netflix, Disney+), ad-supported services (Tubi, Pluto TV), and transactional services (Amazon Prime Video). OTT is the content delivery mechanism, while CTV (Connected TV) refers to the devices used to watch OTT content on television screens. OTT advertising is one of the fastest-growing segments of digital ad spend.

The Privacy Sandbox is a Google initiative consisting of browser-based APIs designed to enable digital advertising and personalization without third-party cookies. Key APIs include Topics API (interest-based targeting), Protected Audience API (retargeting via on-device auctions), Attribution Reporting API (conversion measurement), and CHIPS (partitioned cookies). The Sandbox aims to balance user privacy with advertising functionality, transitioning the industry toward privacy-preserving, on-device ad solutions within Chrome.

A Private Marketplace (PMP) is an invitation-only auction where select advertisers gain preferential access to a publisher's premium ad inventory. Unlike open auctions, PMPs offer higher transparency, brand safety, and access to unique inventory. Publishers control which buyers participate and can negotiate deal terms, floor prices, and targeting criteria. PMPs bridge the gap between direct sales and open programmatic, offering efficiency with controlled access.

Programmatic Advertising refers to the automated buying and selling of digital ad space using software, data, and algorithms, replacing manual negotiations and insertion orders. It encompasses real-time bidding (RTB), private marketplaces (PMPs), programmatic guaranteed deals, and programmatic direct. Programmatic enables precise audience targeting, real-time optimization, and efficient ad spend allocation across display, video, CTV, audio, and native formats.

Programmatic Direct (also called automated guaranteed or programmatic reserved) refers to the automated transaction of reserved ad inventory at a negotiated price, without an auction. It includes Programmatic Guaranteed and non-guaranteed deals. Buyers and sellers agree on terms (price, volume, targeting) through a programmatic interface, automating the traditional IO-based direct sales process while maintaining the direct relationship and inventory reservation.

Programmatic Guaranteed (PG) is a deal type where an advertiser commits to buying a fixed number of impressions at a negotiated CPM, transacted through programmatic infrastructure rather than manual insertion orders. PG combines the automation and efficiency of programmatic with the certainty and premium inventory of direct deals. Publishers guarantee inventory availability and advertisers guarantee spend, with automated delivery and reporting replacing manual workflows.

RampID (formerly LiveRamp ID) is a people-based, privacy-compliant identifier created by LiveRamp that enables advertisers to unify customer data across channels and devices without third-party cookies. RampID is a hashed, encrypted identifier based on offline PII (email, name, address) and is tied to LiveRamp's identity graph. It enables deterministic cross-device targeting, measurement, and audience activation, and is widely adopted across DSPs, CDPs, and walled gardens.

Real-Time Bidding (RTB) is the instantaneous auction process that enables programmatic advertising. When a user loads a webpage or app, ad inventory is offered to multiple advertisers simultaneously, each bidding in real-time (typically within 100 milliseconds) to display their ad. The highest bidder wins the impression and their ad is served. RTB happens through ad exchanges that connect demand-side platforms (DSPs) with supply-side platforms (SSPs), enabling efficient, automated ad buying at scale.

A Retail Media Network (RMN) is an advertising platform operated by a retailer that leverages its first-party shopper data and digital storefronts to sell ad inventory to brands. RMNs like Amazon Ads, Walmart Connect, and Target Roundel allow brands to target consumers based on actual purchase behavior, search intent, and basket data, both on the retailer's own properties (on-site) and across the open web (off-site). RMNs are the fastest-growing segment in digital advertising due to their closed-loop attribution and cookieless targeting capabilities.

Return on Ad Spend (ROAS) is a marketing metric that measures the revenue generated for every dollar spent on advertising. It is calculated as: ROAS = (Revenue from Ads / Ad Spend) x 100. For example, spending $1,000 on ads that generate $5,000 in revenue equals a 500% ROAS (or 5:1). ROAS is a key performance indicator for performance campaigns, retail media, and e-commerce advertising, helping advertisers evaluate campaign profitability and optimize budget allocation.

In a second-price auction (Vickrey auction), the winning bidder pays the price of the second-highest bid plus one cent. This model was historically common in programmatic but was largely replaced by first-price auctions. Second-price auctions encouraged truthful bidding (bidders bid their true maximum), but they also allowed SSPs to apply hidden fees between the clearing price and what the publisher received, reducing transparency.

Sponsored Products are a type of retail media advertising where brands pay to have their products featured prominently within search results and product listings on e-commerce and retail platforms like Amazon, Walmart, and Target. Sponsored Product ads typically operate on a CPC model and leverage the retailer's first-party shopping data for targeting. They are the largest revenue driver for Retail Media Networks, offering high-intent audiences and closed-loop attribution from ad impression to purchase.

Supply Path Optimization (SPO) is the process by which advertisers and agencies evaluate, streamline, and optimize their programmatic supply paths — the routes through which ad inventory reaches buyers. SPO aims to reduce intermediaries, eliminate duplicate inventory, lower fees, improve transparency, and ensure brand safety. Buyers conduct SPO by analyzing log data, auditing SSP partners, and consolidating spend with preferred supply partners.

A Supply-Side Platform (SSP) is software that enables publishers and app developers to sell their ad inventory programmatically. SSPs connect publishers to multiple ad exchanges and DSPs simultaneously, maximizing yield through header bidding, floor price optimization, and real-time auction management. Major SSPs include Magnite, PubMatic, and Google Ad Manager.

The SupplyChain Object (schain) is a field within the OpenRTB protocol that provides transparency into the supply chain of programmatic ad inventory. The schain lists all intermediaries (SSPs, exchanges) between the publisher and the buyer, including their domain names and payment relationships. schain enables advertisers to conduct Supply Path Optimization (SPO), verify inventory authenticity, and eliminate unauthorized reselling. It is a critical tool for reducing ad fraud and improving supply chain transparency.

The Topics API is a Google Privacy Sandbox proposal that enables interest-based advertising without third-party cookies. Chrome assigns users to interest categories (topics) based on browsing history, stored locally on the device. Advertisers can access a small number of topics per user to serve relevant ads, without tracking individual sites visited. Topics rotate weekly, are kept for three weeks, and provide a privacy-preserving alternative to cookie-based behavioral targeting.

Unified ID 2.0 (UID2) is an open-source, deterministic identity framework developed by The Trade Desk to provide a privacy-compliant alternative to third-party cookies. UID2 uses hashed and encrypted email addresses to create persistent, cross-device identifiers. Users must provide explicit consent for their data to be used. UID2 is managed by the Unified ID Alliance and is freely available to all participants in the digital advertising ecosystem.

VAST (Video Ad Serving Template) is an IAB standard that defines a uniform XML response format for video ad servers, enabling video ads to be served across different video players and platforms. VAST standardizes how ad creatives, tracking URLs, and interactive elements are communicated between ad servers and video players, ensuring interoperability across the video advertising ecosystem. The current version, VAST 4.x, supports advanced features like ad pods, VPAID-like interactivity, and omni-channel measurement.

VPAID (Video Player Ad-Serving Interface Definition) is an IAB standard that enables interactive video ads by defining a JavaScript API for communication between video ad units and video players. VPAID allows rich, interactive ad experiences (expandable, clickable, data-collection) within video ad creatives. However, VPAID has been largely deprecated in favor of VAST 4.x interactive features due to performance, security, and compatibility issues, especially in CTV environments.

Viewability is a metric that measures whether an ad was actually visible to users, rather than simply served. Per IAB/MRC standards, a display ad is considered viewable when at least 50% of its pixels are visible in the browser viewport for at least 1 second; for video, 50% for at least 2 seconds. Viewability is critical for brand advertisers, agency reporting, and pricing models, with measurement providers like DoubleVerify, IAS, and Moat providing independent verification.

A waterfall (or daisy chain) is a sequential monetization method where a publisher offers ad inventory to one ad network or exchange at a time, moving to the next only if the first passes on the impression. This sequential approach often results in lost revenue because higher-paying demand sources later in the chain never get to compete. Header bidding was developed to address the inefficiencies of waterfall monetization by enabling simultaneous, parallel bidding.