Open Web Archives - Integral Ad Science

Toyota Spain Drives Stronger Conversions and Higher Attention with IAS Quality Attention™

IAS Team — Mon, 03 Nov 2025 12:00:00 +0000

Key Results

0%

increase in monthly site visits

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points higher attention score vs. auto benchmark in Spain

The Challenge

Toyota Spain, the official distributor of Toyota and Lexus vehicles, wanted to strengthen the performance of its video campaigns while maintaining cost efficiency and brand suitability. Although previous campaigns had benefited from IAS Total Visibility and Viewability measurement, the agency team at T&P and WPP Media sought deeper insights into audience attention to optimize outcomes like cost per session, conversion rate, and view-through rate.

The Approach

Over a five-month test period, WPP Media and IAS structured the project into three phases to measure and optimize attention across Toyota’s campaigns.

Using Quality Attention, the team analyzed how viewability, ad density, share of screen, device type, and user interaction metrics (such as pause, skip, and volume change) influenced performance.

Findings showed that in-app inventory delivered significantly higher attention scores (90) compared to browser environments (73), guiding the team to shift spend toward high-performing mobile and tablet placements while reducing low-scoring SSP domains and contextual categories.

The Results

After optimizing with Quality Attention, Toyota Spain achieved measurable success, including:

A 16% increase in average monthly site visits, rising from 400 in July to 811 in November (calculated as an Compound Annual Growth Rate)
Attention scores 20 points higher than Spain’s auto benchmark (81 vs. 61) and 19 points above the global average (62)

These results demonstrated that measuring and optimizing to attention scores can drive meaningful performance gains — turning quality insights into higher conversions and improved efficiency.

Want to see how IAS Quality Attention can power your next campaign?

The post Toyota Spain Drives Stronger Conversions and Higher Attention with IAS Quality Attention™ appeared first on Integral Ad Science.

How MFA Spikes Impact Amazon Prime Big Deal Days and Holiday Shopping Events

IAS Team — Wed, 01 Oct 2025 12:00:00 +0000

Retail deal days arrive with the promise of unprecedented reach and record-breaking sales. Yet beneath the impressive campaign metrics lies a harsh reality: as inventory expands to meet demand, advertising quality can deteriorate.

The intensity of modern deal seasons — Amazon Prime Big Deal Days, Walmart Holiday Deals, Target Circle Week, and the Black Friday/Cyber Monday finale — drives digital advertising competition. Brands pour massive budgets into compressed time windows, creating a perfect storm of inflated costs, cluttered ad environments, and opportunistic low-quality inventory that thrives in the chaos.

For marketers navigating these high-stakes periods, understanding the hidden risks of ad clutter and Made-for-Advertising (MFA) site proliferation isn’t just about protecting budgets — it’s about ensuring every impression drives meaningful consumer engagement when attention is most valuable and scarce.

Defining MFA, Ad Clutter, and AI Slop Sites

Before we understand the impact of MFA sites and ad clutter on programmatic campaigns, we first need to understand what constitutes MFA and ad clutter, and where AI slop fits into the puzzle.

MFA sites are web pages built to conduct ad arbitrage and feature low quality content (e.g. spam sites or ad farms) created solely to serve ads.
Ad clutter sites feature high ad density and high ad-to-content ratio, leading to lower performance.
AI-generated slop sites are considered ad clutter, though they aren’t one and the same. IAS found that 57% of consumers consider spammy sites inappropriate content, and another 70% say they trust brands less when advertising near inappropriate content.

The impact of MFA and ad clutter sites on campaign performance is massive. In an IAS analysis, we found that conversion rates on quality sites are 174% higher than conversion on MFA sites, and 91% higher than conversions on ad clutter sites. Marketers who don’t avoid MFA and ad clutter sites aren’t just showing up in the wrong places — they’re also missing out on sales.

Elevated Risks During Amazon Prime Big Deal Days and Other Deal Days

When retail calendars hit their tentpole events, MFA and ad clutter risks escalate sharply. Amazon Prime Big Deal Days, Target Circle Week, and Walmart Holiday Deals are designed to drive mass consumer attention and spending — but they also trigger a surge in low-quality inventory that marketers must navigate.

According to IAS analysis, MFA rates climb during each of these events, rising by 6% during Amazon Prime Big Deal Days, 8% during Target Circle Week, and an even higher 10% during Walmart Holiday Deals.

At the same time, ad clutter rates escalate even more dramatically, with spikes of 53% on Amazon Prime Day, 11% during Target Circle Week, and 15% during Walmart Holiday Deals.

These numbers paint a stark picture: as consumers flock to these shopping windows, low-quality inventory floods the ecosystem with ad clutter and MFA sites designed to siphon ad dollars.

For advertisers, this means higher costs for placements that make little to no impact. And instead of amplifying brand presence during high-demand periods, budgets can become spread thin across irrelevant, low-quality environments.

Marketers who proactively filter MFA and ad clutter inventory protect their investments and keep performance tied to real consumer engagement — not digital noise.

Black Friday and Cyber Monday: More Shoppers, More Clutter

If retail-specific deal days raise the stakes, Black Friday and Cyber Monday take them to the extreme. These back-to-back events compress unprecedented consumer demand into a single long weekend, creating a key moment for both marketers and bad actors in the digital ecosystem.

The data tells the story: MFA rates jump 14% before versus during Black Friday and Cyber Monday, while ad clutter rates skyrocket by a staggering 157%.

For marketers, the takeaway is clear: retail deal days demand vigilance, but Black Friday and Cyber Monday require airtight safeguards against MFA and ad clutter. Every impression must be intentional, appearing in environments that consumers both trust and engage with.

How IAS Helps During Peak Deal Seasons

When the digital ad environment reaches its most chaotic during Amazon Prime Big Deal Days, Walmart Holiday Deals, Target Circle Week, or Black Friday and Cyber Monday, maintaining control of quality is vital.

This holiday season, avoid all MFA and ad clutter sites as identified by IAS’s AI-driven MFA site classification technology. IAS empowers marketers with predictive science that pre-screens pages so you can filter out content that is not suitable for your brand while not overblocking potentially appropriate or positive contexts, before a bid is even placed.

Access our latest guide, “Break Through the Holiday Noise,” to find out how to best leverage these tools this holiday season. Because in moments when sales matter most, every impression should count.

The post How MFA Spikes Impact Amazon Prime Big Deal Days and Holiday Shopping Events appeared first on Integral Ad Science.

Driving Media Efficiency for Mid-Market Advertisers with StackAdapt

IAS Team — Wed, 24 Sep 2025 12:00:00 +0000

Launch programmatic campaigns with greater confidence and accuracy in StackAdapt

At IAS, we’re committed to providing programmatic advertisers everywhere with greater transparency, trust, and control over their campaigns. That’s why we’re integrating our pre-bid segments within the StackAdapt DSP.

Advertisers can gain access to IAS pre-bid segments for Viewability, Invalid Traffic, Brand Safety, Context Control Avoidance and Targeting, and Quality Sync that empower them to minimize the risk of their campaigns running alongside harmful content, while preserving scale.

IAS’s pre-bid segments for avoidance and targeting optimization provide advertisers with:

Precision Targeting at Scale: IAS’s advanced predictive science analyzes the true context, sentiment, and semantics of web pages, enabling programmatic buyers to maximize their campaign impact and increase ROI.
Increased Efficiency: IAS’s Quality Sync eases campaign management for advertisers – streamlining workflow, reducing block rates, and improving overall media quality across campaigns.
Simplified Workflow: IAS pre-bid segments can be activated immediately to ensure advertisers can achieve optimal media quality results and hit campaign KPIs without having to worry about mid-flight optimization.
Custom, Dynamic Control: Advertisers can avoid unsuitable content based on brand-specific needs across desktop, mobile web, and in-app, in more than 50 languages.

Closing the gap between performance and brand equity

IAS’s predictive and real-time data allows advertisers to maintain transparency and quality control for display and video ads across desktop, mobile web, and in-app environments. In addition to IAS’s pre-bid segments, advertisers can pair IAS post-bid blocking and verification to refine strategy and enforcement, to create a comprehensive media quality and performance strategy.

Ready to unlock the full potential of your programmatic campaigns?

Talk to an IAS representative to find out how.

The post Driving Media Efficiency for Mid-Market Advertisers with StackAdapt appeared first on Integral Ad Science.

How Danone Improved Click-Through Rates by 1,243%

IAS Team — Mon, 22 Sep 2025 12:00:00 +0000

Key Results

0%

Increase in attention levels

0%

Increase in click-through rates

0%

Drop in cost per click

The Challenge

In a landscape challenged by media quality concerns such as viewability, cost per click, and video completion rates, Danone aimed to turn these obstacles into opportunities. Partnering with IAS, the brand wanted to test whether Quality Attention pre-bid could automatically identify and target high-quality inventory that would drive measurable improvements in campaign performance — not just attention scores, but real business metrics that matter.

The Approach

Danone conducted a two-phase test for their Activia Yogurt campaign targeting women aged 25-54. Phase 1 (May 20 – June 1) served as a measurement-only baseline to establish attention metrics for their digital ads. Phase 2 (June 2 – July 6) implemented IAS Quality Attention pre-bid, focusing programmatic bids on high-attention inventory to enhance audience engagement.

The test measured four critical KPIs: viewability rate, click-through rate, cost per click, and video completion rate. IAS segmented impressions to compare performance and track how pre-bid shifted bidding patterns toward higher-scoring domains.

The Results

The results exceeded all expectations. After activating Quality Attention pre-bid, attention levels rose by 56%, with attention scores jumping over 30 points once optimization was applied.

But the real story was in the performance metrics.

Click-through rates increased by an astounding 1,243% while cost per click dropped by 76%—a combination that dramatically improved campaign efficiency. Video completion rates improved by 6.5%, and viewability rates increased by 5.9%. Every single KPI showed significant improvement.

The optimization fundamentally changed how the campaign allocated spend. Post-optimization analysis revealed a definitive shift toward higher attention-scoring inventory, with the system automatically identifying and prioritizing domains that consistently delivered attention scores above 70 — some reaching as high as 94.

Why It Matters

This study proves that attention-based optimization isn’t just about better measurement — it’s about better results. By leveraging IAS Quality Attention pre-bid, Danone achieved the holy grail of programmatic advertising: higher engagement at lower cost.

The dramatic improvement in click-through rates combined with reduced costs demonstrates that attention directly correlates with user engagement and campaign efficiency. When you target inventory that genuinely captures user attention, everything else follows: better viewability, higher completion rates, and more cost-effective delivery.

Ready to transform your programmatic performance?

Talk to your IAS representative to get started with Quality Attention pre-bid and discover what 1,243% CTR improvement could mean for your campaigns.

The post How Danone Improved Click-Through Rates by 1,243% appeared first on Integral Ad Science.

IAS and Good-Loop Team Up to Enhance and Expand Emissions Measurement for Advertisers

IAS Team — Tue, 16 Sep 2025 12:00:00 +0000

At IAS, we’ve always believed that media quality means more than making sure ads are viewable, fraud-free, and brand-safe. It’s also about accountability — and that includes environmental responsibility and transparency. That’s why we’re excited to announce our expanded partnership with Good-Loop, making advanced carbon emissions measurement available to all IAS customers globally at no extra cost.

Why This Matters

As carbon emissions legislation rolling out across the globe and brands setting new sustainability goals, understanding the environmental impact of digital advertising has never been more important. Measuring carbon emissions is quickly becoming a core part of media quality — right alongside viewability, fraud prevention, brand safety and suitability, and geographic accuracy.

Now, every impression IAS measures across the open internet will include data on its carbon footprint, helping to make this standard practice for all advertisers and giving them the transparency they need to take meaningful action.

Powered by Good-Loop

Good-Loop, a certified B Corporation on a mission to deliver positive, climate-friendly advertising, has been powering emissions measurement within IAS Signal since 2023. Together, we’ve collaborated with early-adopter advertisers to create emissions benchmarks while also supporting the Advertising Association and Ad Net Zero in the development of a universal industry standard.

Our Commitment

Both IAS and Good-Loop are committed to leading by example. IAS has voluntarily published data with The Climate Registry and is now officially setting SBTi-verified Net Zero emissions targets, joining over 10,000 companies, including Good-Loop, on the publicly verified path to Net Zero.

When it comes to protecting our planet, actions matter. By integrating sustainability into media quality, we’re helping advertisers reduce their carbon footprint — one campaign at a time.

For more information on IAS’s sustainability initiatives, please visit our ESG page.

The post IAS and Good-Loop Team Up to Enhance and Expand Emissions Measurement for Advertisers appeared first on Integral Ad Science.

Break Through the Holiday Noise

IAS Team — Mon, 15 Sep 2025 12:00:00 +0000

How reaching consumers with contextual relevance during peak holiday moments drives performance

Holiday shopping has become a long game. By October last year, nearly 1 in 5 consumers had already started their gift lists, and by November, more than half were actively shopping. For advertisers, that means the pressure to deliver is spread across the entire quarter.

But with inflated CPMs, crowded ad environments, and opportunistic low-quality inventory, capturing consumer attention isn’t easy. Success depends on knowing when to activate and where to appear.

That’s why IAS created Break Through the Holiday Noise — a guide to help marketers navigate the busiest shopping season with confidence and control.

Inside the guide, you’ll uncover:

The key shopping window that delivered a 4.6x lift in conversions for one CPG brand
Why conversion rates are 174% higher on quality sites vs. MFA, and how to keep your spend focused on environments that drive performance
The seasonal spikes in impressions for Halloween, Thanksgiving, and Cyber Week — and what they mean for campaign timing
The IAS Context Control Targeting & Avoidance segments proven to capture consumer attention across retail, travel, food, and entertainment

The holiday season only comes once a year — make every impression count.

The post Break Through the Holiday Noise appeared first on Integral Ad Science.

Combating AI-Generated Slop Sites

IAS Team — Thu, 17 Jul 2025 11:00:00 +0000

Pros and Cons of Generative AI for Programmatic Advertisers

Generative AI offers a multitude of benefits to programmatic advertisers across creative development and personalization, campaign optimization, brand safety and fraud mitigation, and operational efficiency.

While powerful, generative AI also introduces a new challenge to programmatic advertisers: the proliferation of low quality and ad spammy slop sites.

The Scope of AI-Generated Content

The amount of AI-generated content is only growing. EMarketer forecasts that as much as 90% of web content may be AI-generated by 2026, and some AI-driven sites are producing up to 1,200 articles daily, aiming to maximize ad revenue through sheer volume.

According to Jounce Media’s The State Of The Open Internet 2025, DSP demand follows supply, even supply that marketers are actively attempting to avoid. DSPs treat supply as a commodity and have a bias toward buying recently published supply versus quality supply.

This creates an incentive for publishers to flood the market with the maximum volume of supply at the minimum possible cost — utilizing AI to produce the content at the below rates:

41% of available web supply was published this week.
26% of available web supply was published today.
6% is content that was published this hour.

AI-Generated Slop Sites are Ad Clutter

At IAS, we classify these low quality slop sites as “ad clutter.” To identify ad clutter sites, our machine learning model evaluates the following site characteristics:

High ad-to-content ratio
Large total number of ads (high ad density)
Presence of auto-refresh ads
High refresh rate
Presence of autoplay video ads
Templated design
Plagiarized or AI-generated content

If ad clutter sites are also conducting ad arbitrage — buying cheap traffic and then aggressively monetizing the resulting page views — then our model will flag these sites as Made-For-Advertising (MFA).

Implications for Advertisers and Publishers

Advertisers are wasting ad spend on low quality slop sites that do not drive campaign performance. An IAS analysis from over 40 global agencies and brands found traffic served on quality sites have a 91% higher conversion rate than traffic served on ad clutter sites. Further analysis by IAS found that quality sites were more cost efficient than ad clutter sites, delivering lower cost-per-conversion by 25%.

There are also brand safety concerns for advertisers. Associating with spammy or misleading content can harm brand reputation and consumer trust. According to IAS’s State of Brand Safety report, 57% of consumers consider spammy sites inappropriate content, and another 70% say they trust brands less when advertising near inappropriate content.

For publishers, MFA and AI-generated slop sites are siphoning ad spend away from their quality sites. According to the ANA’s Programmatic Media Supply Chain Transparency study, it’s estimated that advertisers are wasting $10 billion in spend each year on MFA sites. This spend should be redirected to higher performing quality sites.

How IAS is Helping Advertisers and Publishers

Advertisers can avoid wasting their ad spend on AI-generated slop sites that do not perform and redirect this spend to quality publishers. IAS offers ad clutter and MFA pre-bid avoidance segments within all the leading DSPs. These segments are available to Quality Sync and Context Control Avoidance clients at no additional cost. Contact an IAS representative to learn more.

For an overview on how generative AI is impacting ad fraud, please read Fraud in Generative AI: A deep dive into how Gen AI affects marketers.

The post Combating AI-Generated Slop Sites appeared first on Integral Ad Science.

Media Quality Report: 20th Edition

IAS Team — Tue, 20 May 2025 12:00:00 +0000

Industry-leading benchmarks for superior media quality

IAS is pleased to share the Media Quality Report: 20th Edition — offering trusted benchmarks and global insights based on more than 280 billion digital interactions daily.

As the gold standard in media quality, the Media Quality Report (MQR) is here to help marketers across the globe assess performance through the industry’s most actionable data. This year’s report offers an in-depth look into global media quality data, key trends shaping the digital landscape, and a step-by-step guide for how to get the most out of the MQR.

Dive into this year’s report, with key trends including:

BRAND RISK: The share of offensive content increased 72% year-over-year.
AD FRAUD: Fraud rates for campaigns that were not protected against fraud increased 19%.
VIEWABILITY: Overall viewability stabilized, but global desktop video viewability reached a record high of 83.9%.

With digital media evolving every day, reliable benchmarks are more important than ever. See how your media stacks up — and where to take action next.

Download the report today to access IAS’s industry-leading global benchmarks.

The post Media Quality Report: 20th Edition appeared first on Integral Ad Science.

Supporting News While Ensuring Brand Suitability

IAS Team — Wed, 09 Apr 2025 11:59:00 +0000

In recent months, the industry has pointed to media quality and measurement companies to address how brand safety will unlock greater media spend on news. There’s a perception that brand safety measures limit advertising on news content, inadvertently harming news. However, brand safety and suitability can and should be an ally to news publishers — not an obstacle.

Traditionally, many advertisers have relied on keyword blocking — an exclusionary approach that prevents ads from appearing alongside specific words or phrases — to manage brand safety risks. While once a widely used method, keyword blocking lacks nuance, as it doesn’t account for context, sentiment, or emotion. This blunt approach can result in overblocking, where brands may miss valuable reach, exclude diverse content creators, and penalize news publishers without truly mitigating risks. Overblocking can be difficult to identify due to keyword blocking oftentimes being implemented in multiple places in the media supply chain (e.g., within DSPs).

Simply avoiding news sites or content containing certain words is a missed opportunity for brands looking to connect with engaged audiences. Consumers actively seek out trusted news sources to stay informed, making it essential for advertisers to adopt more precise, contextual approaches to ensure brand protection without sacrificing scale.

Advertiser Benefits: Maximizing ROI While Safeguarding Brand Reputation

IAS is committed to re-educating the industry and working closely with advertisers, agencies, and publishers to foster a balanced approach that ensures brand protection while supporting a free and sustainable press.

Advertisers don’t have to choose between brand safety and supporting news — IAS enables them to confidently invest in news environments while minimizing risks. Instead of blunt exclusion tactics like excessive keyword blocklists, we provide granular, AI-driven contextual solutions that refine brand suitability preferences rather than eliminating valuable news inventory.

Key IAS Solutions for Advertisers

IAS Context Control for Brand Suitability and Contextual Targeting: Uses Natural Language Processing (NLP) to analyze sentiment and emotion across 50+ languages, ensuring advertisers can support news while controlling risk.
- Historically, some brands have paused media buys entirely in times of uncertainty, heavily penalizing publishers and affecting reach for advertisers. With near real-time contextual classification, IAS gives advertisers the tools to reduce risk without sacrificing reach — especially during moments of rapid change.
Keyword to Contextual Consultation: IAS helps advertisers transition away from static keyword blocklists by recommending dynamic contextual targeting strategies.
Allow News Homepages Segments: 29 unique IAS segments that enable advertisers to avoid content across industry-aligned brand safety and suitability concerns without blocking or avoiding news homepages.
Industry Standard Content Sub-Category Segments: Across 12 industry standard brand safety categories, advertisers can set different risk tolerance thresholds based on content type, enabling advertisers to calibrate their suitability controls more precisely for news content versus other types of content such as gaming or entertainment.
URL Trusted List: Allows advertisers to bypass brand safety filters for pre-approved news publishers.

Why This Matters for Advertisers

Reach engaged audiences on trusted news sites, maximizing ROI.
Provide transparency into ad placements while ensuring control.
Prevent unnecessary overblocking that reduces campaign scale.

Publisher Benefits: Driving Demand While Preserving Inventory Value

From a publisher’s perspective, brand suitability measures should be maximizing revenue while providing suitability. IAS’s transparent solutions enable publishers to better monetize their inventory and optimize yield while preserving advertiser confidence in their inventory. By leveraging advanced contextual controls, publishers can retain monetization for brand-safe content without unnecessary restrictions.

Key IAS Solutions for Publishers

Quality Attention for Publishers: Provides publishers and SSPs with actionable insights into inventory quality, helping optimize yield and revenue by highlighting premium, high-attention inventory.
MFA and Ad Clutter Protection: Helps direct advertiser demand to premium news by filtering out low-quality MFA (Made-for-Advertising) and ad-cluttered environments. Because our MFA reporting is available to all advertisers, we help reputable publishers stand out and drive better yield. IAS also equips publishers with insights to enhance inventory quality, improve engagement, and drive advertiser confidence. Publishers have access to their own MFA or Ad Clutter scores to gain greater transparency into their inventory, enabling them to optimize and attract higher-value demand.
Data-Driven Brand Suitability Enhancements: IAS continuously refines its classification models based on data and insights, as well as feedback from publishers and advertisers, helping ensure high-quality news content remains monetizable.

Why This Matters for Publishers

Protect the value of news by ensuring fair access to advertising dollars.
Reduce unnecessary blocking that limits inventory yield.
Improve buyer confidence and demand for premium news placements.

How IAS News Sub-Categories Support News Monetization

To further reduce the risk of overblocking news while keeping advertisers protected, IAS offers granular contextual categories as part of Context Control that enable advertisers to set different risk thresholds for news content than other content types. Additionally, IAS offers contextual categories that will block risky content but allow all news homepages. News homepages often face overblocking due to the nature of their content, containing many headlines of various topics.

Tools like this help ensure ads serve on trusted news sources while avoiding high-risk content elsewhere. IAS offers 45 news-specific Context Control segments to help advertise on news more effectively — with many at varying risk thresholds aligned to industry standard risk levels. These segmented controls enable advertisers to support reputable news sources while maintaining brand suitability. Additionally, IAS offers sentiment-based segments, enabling advertisers to only block negative content for a given topic as opposed to overblocking the entire topic.

Example in Action

An advertiser may be averse to advertising on any webpage that is related to “crime,” but in the context of news, the advertiser may only want to avoid high risk crime content, or not even block crime on news at all. With our granular contextual categories, the advertiser can easily loosen restrictions to news content versus other content types.

IAS “Allow News Homepages” Segments

These segments give advertisers the control and flexibility to employ different risk thresholds for news. Advertisers can block content across the following categories, without blocking news homepages:

Strengthening Brand Safety While Supporting News

IAS is committed to fostering a balanced digital ecosystem where advertisers can confidently invest in news while maintaining brand safety.

Through contextual intelligence and publisher-focused solutions, IAS empowers advertisers and publishers alike — ensuring that brand safety remains an enabler of news, not a limitation.

The post Supporting News While Ensuring Brand Suitability appeared first on Integral Ad Science.

What is Programmatic Advertising? A Comprehensive Guide

IAS Team — Wed, 18 Dec 2024 01:00:00 +0000

The number of online consumers is rapidly growing, and so is the need for ads that capture attention and make an impact. It’s crucial that marketers can depend on a transparent and trustworthy ad publishing process to reach consumers online and drive results without wasting time or money.

That’s where programmatic advertising comes in.

What is programmatic advertising?

Programmatic advertising is the automated buying and selling of ad space in real-time. This process lets marketers target specific audiences and optimize their campaigns for better, scalable results.

One of the main benefits of programmatic advertising is that it eliminates the need for manual buying and selling, helping to increase time efficiency and avoid human error. Through technology-driven processes, like algorithms and AI, programmatic advertising helps streamline both the purchasing and placement of ads across the digital landscape. Plus, programmatic advertising is flexible, allowing media buyers to shift budgets faster than ever before.

How does programmatic advertising work?

At its core, programmatic advertising is designed to make the buying and selling of digital ad space more efficient and data-driven. Unlike traditional media buying, where transactions were often manual and time-consuming, programmatic uses automation, machine learning, and real-time bidding (RTB) to ensure that every ad impression is strategically placed for maximum impact.

The programmatic supply path consists of multiple intermediaries that connect advertisers (buyers) with publishers (sellers) to facilitate the automated exchange of ad inventory. This process happens in milliseconds, allowing brands to target their ideal audience with precision and efficiency across digital environments, including the open web, social media, mobile apps, connected TV (CTV), and more.

Read More: Programmatic Advertising Glossary

The key players in the programmatic supply path

To understand how programmatic advertising functions, it’s essential to break down the different players involved in the process.

1. Demand-Side Platforms (DSPs): Where advertisers manage their buys

A demand-side platform (DSP) is a technology that automates the process of purchasing digital ad inventory. Marketers use DSPs to set their budget, targeting preferences, bid strategy, and performance goals, ensuring that their ads are served to the most relevant audiences in real time.

How DSPs Work: Advertisers upload their creatives (banners, videos, native ads, etc.) into a DSP and define the criteria for their campaigns—such as demographics, device type, geography, contextual relevance, and behavioral data. The DSP then bids on available ad impressions within programmatic marketplaces, ensuring that each bid is strategic and cost-effective.
Why DSPs Matter: By leveraging AI-driven optimizations, audience insights, and real-time analytics, DSPs help advertisers maximize performance, efficiency, and return on investment (ROI). Instead of purchasing bulk ad space in advance, DSPs allow advertisers to adjust and refine their campaigns dynamically, ensuring that their budget is being spent where it matters most.

2. Sell-Side Platforms (SSPs): Where publishers monetize their inventory

A sell-side platform (SSP) is the counterpart to the DSP, used by publishers to manage and sell their available ad inventory programmatically. SSPs connect with multiple DSPs and ad exchanges, enabling publishers to maximize the value of their inventory by selling ad impressions to the highest bidder.

How SSPs Work: When a user visits a publisher’s website or app, the SSP analyzes the user’s data and context to determine which ads would be the most relevant and valuable. It then initiates an auction, where DSPs compete in real-time to serve an ad that matches the user profile and publisher’s criteria.
Why SSPs Matter: SSPs increase competition for ad inventory, ensuring that publishers achieve higher revenue for their impressions while maintaining control over which ads appear on their platform.

The programmatic auction process

A user visits a website, app, or CTV platform that supports programmatic advertising.
The SSP sends an ad request to an ad exchange, signaling available ad inventory.
The ad exchange initiates a real-time auction, inviting multiple DSPs to bid on the impression.
Each DSP evaluates the user’s data (such as demographics, browsing behavior, and contextual signals) and determines whether to place a bid based on the advertiser’s targeting preferences.
The highest bid wins the auction, and the ad creative from the winning advertiser is served to the user—all in a fraction of a second.
The advertiser’s DSP tracks engagement metrics (such as clicks, conversions, and viewability) to optimize future bids and campaign performance.

How does programmatic advertising help marketers?

Programmatic advertising removes the inefficiencies of manual media buying, replacing them with automated, data-driven decision-making. Instead of purchasing inventory in bulk or negotiating placements one by one, advertisers can use real-time bidding and direct programmatic deals to ensure that every impression serves a purpose.

With advanced targeting, supply path insights, and brand suitability controls, programmatic advertising helps advertisers reach high-value audiences while eliminating waste and reducing ad fraud. When executed with the right strategy, programmatic is not just efficient—it’s an essential tool for scaling campaigns, improving media quality, and driving superior performance.

Key Benefits of Programmatic Advertising for Marketers

1. Precise Targeting for Meaningful Engagement

Reaching the right audience at the right time is critical. Programmatic advertising enables granular targeting capabilities, allowing marketers to serve relevant, high-impact ads based on contextual signals, audience insights, and real-time behavioral data.

By aligning ad placements with brand-suitable content, marketers can increase engagement while ensuring their messages appear in environments that support brand integrity. The ability to optimize audience segments dynamically allows advertisers to refine their strategy throughout the campaign lifecycle, making each impression more valuable.

2. Real-time optimization to maximize ROI

The speed of digital advertising requires marketers to be agile and data-driven. Programmatic advertising provides real-time campaign adjustments, ensuring that budgets are continuously optimized toward higher-performing inventory, better engagement, and stronger return on ad spend (ROAS).

Rather than relying on static ad placements, programmatic enables adaptive bidding strategies that respond to shifting market conditions. This means brands can dynamically adjust their spend, refine targeting criteria, and reallocate budgets based on what’s working—without waiting for manual intervention.

3. Smarter efficiency and cost savings

Without the right controls, programmatic ad spend can be lost to low-quality placements, excessive fees, and inefficient supply paths. To combat this, marketers need solutions that provide actionable transparency into their supply chain, ensuring that every dollar is invested in quality, fraud-free, and viewable impressions.

By leveraging supply path intelligence and media quality optimization, advertisers can make informed media-buying decisions that drive measurable business impact. The goal isn’t just to buy impressions—it’s to ensure that every impression contributes to marketing objectives.

4. Transparency and reach

Consumers engage with digital content across multiple channels and devices, from desktop and mobile to connected TV. A cohesive programmatic strategy allows brands to deliver consistent, high-quality messaging while managing media spend across various environments.

By maintaining visibility and control over their programmatic buys, marketers can ensure that their ads appear in premium, brand-aligned inventory, regardless of the environment. With contextual targeting and pre-bid optimizations, programmatic campaigns can seamlessly scale without sacrificing quality or relevance.

5. Brand safety, suitability, and fraud protection

Brand reputation is non-negotiable. Without the right safeguards, programmatic advertising can expose brands to unsuitable content, fraud, and wasted spend. Marketers need assurance that their ads are appearing in brand-safe, fraud-free environments, reaching real people in the right geographic locations.

A strategic approach to programmatic advertising ensures that every ad buy is evaluated against media quality standards, reducing the risks of invalid traffic (IVT), and misaligned placements. By integrating real-time verification and suitability controls, marketers can confidently invest in programmatic campaigns that drive results without compromising brand integrity.

6. Data-driven insights for continuous improvement

To make smarter marketing decisions, advertisers need access to detailed, real-time insights. Programmatic advertising provides transparent reporting, allowing brands to measure viewability, engagement, cost efficiency, and supply path performance at every stage of the campaign.

With a data-first approach, marketers can continuously refine their creative strategy, audience segmentation, and bidding tactics to improve efficiency and effectiveness. The ability to analyze campaign performance in real-time ensures that advertisers can pivot quickly, optimizing their strategy to meet evolving goals.

Read More: Mastering Ad Verification: Viewability, Ad Fraud, and Brand Safety Measurement for Effective Campaigns

How can IAS help?

The programmatic supply path can be a bit complex, so marketers need the most efficient buys and the fastest campaign optimization. IAS helps verify that your buys are made of Quality Impressions, which measures whether your ads are in-view, seen by a real person, in a brand safe and suitable environment, and in the correct geo. IAS also works to ensure the integrity of your brand and optimize your campaign effectiveness throughout every step of the supply path.

Here’s a quick look at what IAS can offer with our industry-leading programmatic product suite:

Optimization Pre-Bid Segments: Achieve optimal media quality results, hit KPIs, and ensure your ads are seen by real people in safe environments with real-time data.
Performance-Based Targeting: Apply Context Control optimization that lets you target contextually relevant content that aligns with your strategic objectives and amplifies your brand message.
Total Visibility: Activate more efficient campaigns, protect your spend, and deliver better ROI with the industry’s first Supply Path Optimization (SPO) product, Total Visibility, which combines DSP log level data, financial, and supply path information with IAS media quality data to provide marketers with insight into the supply path, performance, quality, and cost of programmatic ads.
Automated Tag: Spend less time tagging and more time optimizing with our first-to-market tag management solution that gives you greater operational efficiencies with increased control of the campaign set-up process.

Drive results on your programmatic campaigns with actionable transparency and precise targeting that only IAS can provide. Check out our programmatic product suite to get started today.

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