Supply-side Curation is an approach in **Paid Marketing** where high-quality ad inventory is packaged, filtered, and optimized *on the supply side*—before it reaches buyers—so advertisers can access cleaner, more relevant opportunities in **Programmatic Advertising**. Instead of forcing every buyer to sift through the full open exchange, Supply-side Curation organizes supply into curated deal packages that align with specific quality, context, audience, or performance goals.

Supply Chain Transparency is the discipline of clearly understanding **who is involved, what is being sold, and how money and data move** from advertiser to publisher when you buy media—especially in **Paid Marketing** channels that rely on automated auctions. In **Programmatic Advertising**, where a single impression can pass through multiple platforms and intermediaries in milliseconds, transparency is the difference between confident investment and unknowable spend.

Modern **Paid Marketing** increasingly runs through automated exchanges, auctions, and intermediaries. That scale is powerful—but it also introduces complexity: who actually sold an ad impression, where did it run, and how much money did each party take along the way?

Streaming Reach describes how many **unique people or households you can reach through streaming environments** (such as connected TV and other ad-supported streaming experiences) within a defined time period, with a specific budget, and under defined targeting rules. In **Paid Marketing**, it’s the planning and measurement concept that helps you answer: *How far can this streaming plan actually go, and who will see it?* In **Programmatic Advertising**, Streaming Reach becomes even more actionable because inventory, targeting, and frequency controls can be optimized continuously as delivery data comes in.

Streaming Inventory is the pool of ad opportunities available inside streaming content experiences—such as connected TV apps, live streams, on-demand video, and ad-supported audio—where ads can be served to viewers in real time or near real time. In **Paid Marketing**, it represents one of the fastest-growing ways to reach audiences who are spending more time with streaming platforms than with traditional channels.

In **Paid Marketing**, every optimization decision—targeting, bidding, creative rotation, frequency, attribution—depends on data moving reliably between systems. In **Programmatic Advertising**, those systems are often numerous: demand-side platforms, ad servers, analytics suites, clean rooms, CRM tools, and reporting layers. A **Source Object** is the foundational concept that helps you keep that data consistent and explainable.

In **Paid Marketing**, pricing rules shape everything from reach and efficiency to whether a campaign can scale without wasting budget. One of the most misunderstood pricing controls in **Programmatic Advertising** is the **Soft Floor**—a publisher-set price threshold that influences how an auction clears without necessarily blocking bids that come in below it.

Modern **Paid Marketing** depends on data: first-party customer signals, media exposure logs, and conversion events. At the same time, privacy regulation, platform restrictions, and the decline of third-party identifiers have made it harder to connect those data sets safely—especially in **Programmatic Advertising**, where measurement and audience decisions often require collaboration between advertisers, agencies, publishers, and data providers.

In **Paid Marketing**, the phrase **Site Object** refers to a structured representation of a website (or app) inside marketing and ad-tech systems. Rather than treating “a site” as a simple domain name, a Site Object packages key identifiers and metadata—like domain/app ID, content category, brand-safety attributes, ownership signals, and targeting eligibility—so platforms can consistently target, bid, measure, and govern where ads appear.

A **Site List** is one of the simplest tools in **Paid Marketing**, yet it can have an outsized impact on performance, brand safety, and media efficiency—especially in **Programmatic Advertising**, where ads can appear across thousands of websites and apps in minutes. At its core, a Site List is a curated set of domains (and sometimes apps) that you explicitly allow or block for ad delivery.

Server-side Insertion is a delivery approach used in Paid Marketing where ads are inserted into a piece of content on the server before that content reaches the user’s device. In Programmatic Advertising, it’s most commonly associated with streaming video (CTV/OTT), live streams, and sometimes audio—any environment where ad delivery needs to be resilient, scalable, and less dependent on the user’s browser or app environment.

Server-side Header Bidding is a programmatic technique that moves parts of the header bidding auction away from the user’s browser and into a server environment. In Paid Marketing and Programmatic Advertising, this matters because it influences how many demand sources can compete for each ad impression, how fast pages load, how auctions are measured, and ultimately how much revenue publishers earn and what advertisers pay for access to audiences.

Semantic Targeting is a method of placing ads based on the meaning and context of content rather than relying primarily on user identity signals. In **Paid Marketing**, it helps advertisers align creative and offers with what people are reading, watching, or searching *right now*. In **Programmatic Advertising**, Semantic Targeting is often applied at the moment of bidding to decide which impressions are contextually relevant and brand-safe.

Sellers.json Validation is the process of checking whether the companies and account IDs selling programmatic ad inventory are accurately declared in a publisher’s sellers.json file and align with what you’re buying. In **Paid Marketing**, this matters because a meaningful share of waste, fraud risk, and brand-safety exposure can come from unclear or misrepresented supply paths—especially in **Programmatic Advertising**, where inventory is bought and sold through multiple intermediaries.

Sellers.json is a transparency standard that helps buyers and sellers in **Paid Marketing** verify who is authorized to sell programmatic ad inventory. In **Programmatic Advertising**, where impressions are bought and sold through multiple platforms in milliseconds, it’s easy for misrepresentation and supply-path confusion to creep in. Sellers.json brings structure to that chaos by publishing a machine-readable list of sellers for a given ad system (typically an exchange or SSP).

In **Paid Marketing**, the term **Seller Seat** comes up when you move beyond basic campaign buying and start working with the supply side of **Programmatic Advertising**. A Seller Seat is essentially the selling counterpart to a buyer seat: it’s the account, identity, and control layer a publisher, app developer, or supply partner uses to package, price, and transact their ad inventory through programmatic systems.

Seller Defined Audiences are a way for publishers and other “sellers” of ad inventory to describe audiences to buyers using standardized signals in the bidstream. In modern **Paid Marketing**, they help advertisers reach relevant users in a privacy-forward way—especially as third-party identifiers become less reliable and less available.

Second-party Data is one of the most useful (and most misunderstood) building blocks in modern Paid Marketing. In simple terms, it’s data you access through a direct partnership where another company shares its first-party data with you—typically under clear contractual and privacy constraints.

Seat Transparency is the practice of clearly identifying and disclosing *which buying seat* (the specific DSP account, business entity, and contractual path) is used to purchase media in **Paid Marketing**, especially within **Programmatic Advertising**. It answers a deceptively simple question: *Who is actually buying the ads, through which platform account, and under what financial and data terms?*

A **Seat Level Fee** is a cost charged for access to, or usage of, a specific “seat” inside a programmatic buying platform—most commonly a demand-side platform (DSP) or a similar buying environment used for **Programmatic Advertising**. In **Paid Marketing**, this fee is often separate from media spend (the money that actually buys impressions) and separate from other platform or service charges (like data fees or managed-service fees).

In **Paid Marketing**, most teams think in terms of campaigns, creatives, audiences, and bids. But in **Programmatic Advertising**, there’s another layer that quietly determines *who is buying media, under what permissions, and how spend and performance are attributed*: the **Seat Id**.

Schain is a data standard used in **Paid Marketing** to describe *how an ad impression traveled through the digital advertising supply chain* before it reached a buyer. In **Programmatic Advertising**, where inventory can be sold directly by a publisher or resold through multiple intermediaries, Schain brings structure and accountability to what can otherwise be an opaque path.

Sales Lift is a measurement approach in **Paid Marketing** that estimates how much incremental revenue or unit sales are caused by advertising—especially useful when you want to move beyond clicks and attribute real business impact. In **Programmatic Advertising**, where campaigns run across many placements and audiences at high speed, Sales Lift helps answer the question that matters most: *Did the ads create additional sales, or did they just capture demand that would have happened anyway?*

Safe Frame is a foundational concept in **Paid Marketing** operations where ads are delivered by third parties into publisher and app-like environments. In **Programmatic Advertising**, a single page view can involve multiple technology vendors, real-time bidding, and dynamic creative—creating real security, quality, and user-experience risks if ad content runs with too much access to the publisher’s page.

Retail media has quickly become one of the most measurable ways to reach shoppers close to the point of purchase. A **Retail Media DSP** is the technology layer that helps advertisers activate retailer audience and commerce data to buy ads—often beyond a retailer’s own website and app—using automation and bidding similar to **Programmatic Advertising**.

Resold Inventory is a common—and often misunderstood—part of modern Paid Marketing. In Programmatic Advertising, not every ad impression is sold directly by the publisher that owns the site or app. Many impressions are offered through intermediaries (such as resellers, networks, or certain supply platforms), and that supply is broadly referred to as **Resold Inventory**.

Reseller Path is the route a digital ad impression takes through intermediaries—such as resellers and supply-side platforms—before an advertiser buys it. In **Paid Marketing**, especially in **Programmatic Advertising**, that path can be short and direct or long and fragmented. The length and quality of the path affects what you pay, where your ads appear, and how confidently you can verify who is actually selling the inventory.

In **Paid Marketing**, the path between an advertiser’s budget and a user seeing an ad is rarely “straight line.” In **Programmatic Advertising**, inventory is bought and sold through interconnected platforms, partners, and contracts. A **Reseller** is one of those partners: an entity authorized to sell ad inventory (or access to it) on behalf of someone else, typically a publisher or another supply-side participant.

In modern **Paid Marketing**, especially within **Programmatic Advertising**, every ad impression is evaluated in milliseconds—and that decision increasingly depends on privacy and regulatory constraints. The **Regs Object** is one of the key ways those constraints are communicated across the ad tech supply chain.

Recency Window is a foundational concept in **Paid Marketing** that helps teams decide *how far back in time* a user action should remain eligible to influence targeting, bidding, personalization, and measurement. In **Programmatic Advertising**, where decisions are automated and occur in milliseconds, the Recency Window acts like a time-based filter: a purchase yesterday might be highly meaningful, while a site visit six months ago may be irrelevant (or even misleading) for today’s ad decision.