Playwire

Playwire

http://www.playwire.com
https://www.linkedin.com/company/playwire/

Playwire, a privately owned company headquartered in the United States, was founded in 2007 and operates with approximately 110 employees. The company focuses on data, targeting, and identity, functioning as a global ad tech company specializing in monetization solutions for publishers and app developers.

2024 Revenue

Founded

2007

Headcount

122

Headquarters

United States

Primary Segment

Data, targeting and identity

Ownership

Privately Owned

News Summary:

On September 21, 2026, Playwire published a case study demonstrating how the NFL Perry website tripled its daily revenue after switching to Playwire, citing effective ad placements designed to survive navigation on a site where users engage with single games for extended periods. This followed Playwire's release on September 16 of an "Ad Layout Data & Guide," which details strategies for optimizing ad unit placement across websites to maximize revenue through enhanced viewability and page experience. On September 9, the company also issued an "Interstitial Ads Data & Guide," examining the balance between revenue generation and user experience impact for interstitial units, and providing guidance on placement, capping, and performance measurement. Earlier, on August 24, Playwire introduced an "AI Content Moderation Resource Center," defining the application of machine learning, natural language processing, and computer vision to detect and classify policy-violating content at scale. This resource built on Playwire's August 20 insights into how automated content moderation tools are addressing the scaling challenges publishers face, enabling consistent and accurate decision-making at high content volumes through tiered workflows.

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Playwire offers products in the ad tech and services industry. Playwire's product portfolio comprises of RTB and programmatic, ad measurement and verification and data, targeting and identity.

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Playwire's revenues were less than $50M in 2024. Caretta Research has split Playwire's revenue into 4 different product categories, the largest of which is ad servers. For full access to Playwire's revenue breakdown subscribe to Caretta Portal.

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Sep

21st

2026

06:30

NFL Perry Case Study

Case Study How NFL Perry Tripled Daily Revenue After Switching to Playwire A football site where users stay inside one game for twenty minutes needed ads that survive navigation and a partner who would say which placements to try.

Sep

16th

2026

01:00

Emerging Tech, B2B Tag, Marketing and Promotional Activities

Ad Layout Data & Guide

Let's be clear about what "ad layout" means here. This guide covers where you place ad units across your website to maximize revenue: your placement, your viewability, your page experience. It has nothing to do with the visual design of a single advertisement's headline or body copy.

Sep

9th

2026

01:00

Emerging Tech, B2B Tag

Interstitial Ads Data & Guide

Interstitial ads get treated one of two ways. Either they're a revenue cheat code you bolt on to fix a bad quarter, or they're a UX crime you refuse to touch. Both positions are lazy. So: what the unit is, where it's allowed to fire, how to cap it, and how to tell whether it's working.

Aug

24th

2026

01:00

Emerging Tech, Artificial Intelligence

AI Content Moderation Resource Center Resource Center

AI Content Moderation What is AI Content Moderation? AI content moderation is the use of machine learning models, natural language processing, computer vision, and related automated systems to detect, classify, and act on policy-violating content at scale. For publishers, it's the technical foundation of a brand safety operation. The layer that makes it possible to govern UGC surfaces receiving more submissions per day than any human team could review.

Aug

20th

2026

06:30

Emerging Tech, Operational Performance

How Automated Content Moderation Tools Are Changing the Scale Problem for Publishers

Key Points Automated content moderation tools solve a problem human review fundamentally cannot: maintaining consistent, fast, accurate decisions at scale as content volume compounds. Effective implementation requires tiered workflows that route content by risk level, keeping human review where it adds the most value.

Aug

20th

2026

06:30

Emerging Tech, Artificial Intelligence

The Best Content Moderation Tools for Publishers

Key Points Content moderation tools vary significantly in accuracy, integration complexity, and audit-trail depth, and those differences matter when demand partners come asking questions. No single tool dominates every category; the right choice depends on your traffic scale, content types, and programmatic governance requirements.

Aug

20th

2026

06:30

Artificial Intelligence, Regulations and Policies

How to Build an AI Assistant Content Moderation Policy That Holds Up

Key Points A defensible AI assistant content moderation policy requires more than a prohibited content list: it needs documented governance structure, defined enforcement timelines, and clear escalation paths. Demand partners like Amazon Publisher Services evaluate publishers on policy completeness and operational evidence, not just intent.

Aug

19th

2026

06:30

Emerging Tech, Artificial Intelligence

AI-Powered Content Moderation: What it Looks Like in Reality

Key Points "AI-powered" is a marketing label, not a technical specification. The same phrase covers everything from basic keyword filters to large language models doing semantic analysis. Most vendor pitches skip the part where humans are still doing significant review work.

Aug

19th

2026

06:30

Generative AI Content Moderation: What Publishers Need to Know About Brand Safety and CPMs

Key Points Generative AI has fundamentally changed content moderation: volume, sophistication, and speed of harmful content creation have all increased simultaneously. Detection approaches that worked against human-generated spam and misinformation break down quickly against synthetic text and AI-generated media.

Aug

19th

2026

06:30

Emerging Tech, Artificial Intelligence

AI Content Moderation Software: Manual vs. Automated Processes

Key Points Manual moderation delivers contextual judgment that AI can't replicate, but it scales linearly with headcount and degrades under volume. Automated AI moderation software handles speed and scale efficiently, but needs ongoing threshold calibration to avoid false positives that suppress legitimate inventory.

Aug

19th

2026

06:30

Choosing a Content Moderation Tool: 7 Questions to Ask Before You Buy

Key Points Accuracy benchmarks vary wildly across vendors, and a single number without context is meaningless. Ask for false positive and false negative rates separately. API architecture, latency specs, and moderation pipeline integration points determine whether a tool will fit your stack.

Aug

19th

2026

06:30

Disadvantages of AI Content Moderation for Publishers

Key Points AI content moderation fails in predictable ways: context blindness, demographic bias, and false positive rates that punish legitimate publishers. Every known limitation has a practical mitigation strategy. The goal is a hybrid system, not a choice between AI and humans.

Playwire has partners like LiveRamp. Examples of Playwire's suppliers include Magnite and The Trade Desk.

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