# advertising Published articles for advertising. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## OpenAI's sponsored agents help advertisers create ChatGPT ads DevFeed: [OpenAI's sponsored agents help advertisers create ChatGPT ads]() Original publisher: [Read original article]() Author: Brandon Vigliarolo Published: 2026-09-16T18:32:37Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [ChatGPT](), [OpenAI](), [Bot]() Tags: [advertising](), [agentic-ai](), [agents](), [ai-and-ml](), [chatgpt](), [openai]() ### AI overview The article reports that advertisers can ask ChatGPT's sponsored agents to help create advertisements for ChatGPT. ### Source excerpt Advertisers can now ask ChatGPT to help create their ChatGPT ads, because what's more relatable than an ad crafted by a bot? ## Reimagining advertising with AI DevFeed: [Reimagining advertising with AI]() Original publisher: [Read original article]() Published: 2026-09-16T13:00:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [OpenAI](), [ChatGPT](), [hubspot](), [Shopify]() Tags: [advertising](), [agents](), [ai](), [chatgpt](), [hubspot](), [integrations](), [openai](), [plugin](), [product](), [shopify](), [sponsored]() ### AI overview OpenAI introduces AI-powered advertising features in ChatGPT, including Sponsored Agents that let users converse with select business-sponsored agents after viewing an ad. It also adds prompt-based campaign tools and AI creative tools, plus integrations with HubSpot and Shopify. ### Source excerpt Explore new AI-powered advertising experiences from OpenAI, including Sponsored Agents, tools for marketers, and integrations with HubSpot and Shopify. ## Grindr settles HIV status data-sharing lawsuit for $35 million DevFeed: [Grindr settles HIV status data-sharing lawsuit for $35 million]() Original publisher: [Read original article]() Author: Pieter Arntz Published: 2026-09-08T12:51:14Z Content type: news Language: en Sources: [Malwarebytes]() Topics: [online privacy](), [App](), [SDKs]() Tags: [advertising](), [grindr](), [lawsuit](), [news](), [norway](), [privacy](), [sdks](), [uk-lawsuit]() ### AI overview Grindr reportedly agreed to settle a UK lawsuit alleging that it shared sensitive user data, including HIV-status information, with advertisers. The article explains privacy risks from advertising identifiers, analytics, SDKs, and other third-party app integrations. ### Source excerpt Grindr has settled a UK lawsuit alleging that it shared sensitive user data, including HIV status, with advertising companies. ## StreamRat Android malware spreads through Meta and TikTok ads DevFeed: [StreamRat Android malware spreads through Meta and TikTok ads]() Original publisher: [Read original article]() Author: Pieter Arntz Published: 2026-09-03T16:04:24Z Content type: news Language: en Sources: [Malwarebytes]() Topics: [StreamRAT](), [Malware](), [Social engineering](), [passwords]() Tags: [ads](), [advertising](), [android](), [browser](), [malware](), [meta](), [news](), [passwords](), [scam](), [security](), [social-media](), [streaming](), [streamrat](), [threat-intel](), [tiktok]() ### AI overview A malicious ad campaign used fake streaming-service promotions on Meta and TikTok to distribute the StreamRat Android banking Trojan. The campaign directed Android users to a tailored download page that coached them past security warnings and enabled credential theft and remote device control. ### Source excerpt Social media ads for a free streaming service exposed roughly 570,000 people to StreamRat, a banking Trojan that can take control of infected phones. ## Testing cookie behavior across hundreds of web surfaces with our in-house auditor DevFeed: [Testing cookie behavior across hundreds of web surfaces with our in-house auditor]() Original publisher: [Read original article]() Author: Yasmin McDowell,Lawrence Good Published: 2026-08-31T17:00:00Z Content type: article Language: en Sources: [Dropbox Tech Blog]() Topics: [Web](), [Automation](), [data]() Tags: [advertising](), [analytics](), [automation](), [browser](), [compliance](), [marketing](), [performance](), [privacy](), [testing](), [web]() ### AI overview Dropbox describes an in-house cookie auditor that acts like a privacy-conscious user, visits web pages, and checks whether loaded cookies match stated privacy preferences. The approach helps automate quality assurance across more than 200 web surfaces whose pages, integrations, experiments, and cookie behavior can change over time. ### Source excerpt Our cookie auditor acts like a privacy-conscious user by visiting web pages and checking that they only load cookies consistent with that user's preferences. ## A milestone in expanding access to AI DevFeed: [A milestone in expanding access to AI]() Original publisher: [Read original article]() Published: 2026-08-31T04:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [ChatGPT](), [OpenAI]() Tags: [ads](), [advertising](), [ai](), [chatgpt](), [global](), [openai](), [product](), [revenue]() ### AI overview ChatGPT Ads has reached a $1 billion annualized revenue run rate in less than 200 days and is expanding globally. OpenAI says advertising supports a diversified business model and helps sustain an advertising-supported free tier, while ads remain labeled separately from answers and users retain control over personalization. ### Source excerpt ChatGPT Ads reaches $1 billion in annualized revenue run rate and expands globally, supporting broader access to AI through free and affordable options. ## ChatGPT Ads expands across Europe DevFeed: [ChatGPT Ads expands across Europe]() Original publisher: [Read original article]() Published: 2026-08-18T22:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [ChatGPT](), [OpenAI](), [personalization]() Tags: [ads](), [advertising](), [business](), [chatgpt](), [cost](), [customer](), [enterprise](), [europe](), [norway](), [openai](), [personalization](), [platform](), [product](), [subscriptions]() ### AI overview ChatGPT Ads is expanding to 31 European markets, with access initially provided through OpenAI's ads team and partners and self-service access now available through Ads Manager. Ads appear only for Free and Go users, while paid plans remain ad-free. OpenAI says ads are labeled, separate from answers, and designed to preserve conversation privacy and user control over personalization. ### Source excerpt ChatGPT Ads is expanding to 31 European markets. Learn how advertisers can reach people as they explore, compare options, and make decisions. ## Meta's ads MCP server is now available for developers DevFeed: [Meta's ads MCP server is now available for developers]() Original publisher: [Read original article]() Published: 2026-07-16T17:45:00Z Content type: release Language: en Sources: [Facebook Developers]() Topics: [MCP Server](), [Meta](), [MCP](), [Artificial Intelligence]() Tags: [ads](), [advertising](), [ai](), [developers](), [mcp](), [mcp-server](), [meta](), [performance]() ### AI overview Meta has opened its ads MCP server to developers with their own Meta app. AI applications can use it to create and optimize advertising campaigns, retrieve performance insights, and manage product catalogs through natural language. ### Source excerpt You can now connect your AI application directly to Meta's advertising capabilities, enabling your users to create and optimize campaigns, pull performance insights, manage product catalogs, and more through natural language. ## A New Advertising API, Built From The Ground Up DevFeed: [A New Advertising API, Built From The Ground Up]() Original publisher: [Read original article]() Author: Shai Almog Published: 2026-06-08T00:00:00Z Content type: release Language: en Sources: [CodeName One]() Topics: [API](), [AdMob](), [SDKs](), [Android](), [iOS]() Tags: [admob](), [advertising](), [android](), [api](), [gdpr](), [ios](), [sdk]() ### AI overview Codename One replaces its outdated advertising mechanisms with a pluggable, format-complete advertising subsystem in the core. The new API supports modern ad formats, consent handling, event-driven callbacks, provider discovery, and a modern AdMob reference provider. ### Source excerpt A single pluggable advertising subsystem in the core replaces a stack of dead-end legacy mechanisms, covering every modern ad format with a working AdMob reference provider. ## Empowering Carrot Ads with Domain Adaptive Learning DevFeed: [Empowering Carrot Ads with Domain Adaptive Learning]() Original publisher: [Read original article]() Author: Xiyu Wang Published: 2026-05-04T19:11:17Z Content type: article Language: en Sources: [Instacart]() Topics: [recommendation systems](), [Artificial Intelligence](), [data](), [Optimization](), [Website]() Tags: [advertising](), [ai](), [data](), [domain](), [machine-learning](), [optimization](), [ranking](), [retail]() ### AI overview The article explains how Instacart applies Domain Adaptive Learning to Carrot Ads to address the cold-start problem for new retail partner websites. It describes transferring knowledge from Instacart Marketplace data to target domains to improve click-through-rate prediction and ad ranking with limited partner-specific interaction data. ### Source excerpt Authors: Trey Zhong, Xiyu Wang Contributors: Joseph Haraldson, Sharad Gupta, Sarah Lamacchia Introduction Carrot Ads is Instacart's omnichannel retail media solution that allows retailer partners to build and scale their own advertising businesses on either their owned-and-operated (O&O) websites and apps or their whitelabel Storefront hosted by Instacart. Carrot Ads empowers retailers and CPG brands to accelerate revenue, while improving the customer experience, engagement and Ads return on investment. It features enterprise-grade infrastructure, AI-powered optimization, years of proprietary first-party data and flexibility to choose from retailer-sourced Ads demand, Instacart-sourced demand from 7,500+ CPG brands, or both. However, onboarding a new partner onto Carrot Ads introduces a key challenge: the 'cold start' problem, where limited historical interactions make it difficult to predict user behavior accurately. To serve performant ads, our systems rely on predicting a user's Click-Through Rate (CTR) to generate a ranking score. On the Instacart Marketplace, we have billions of historical signals to train a model to do so. But when a partner launches a new ads experience on their O&O e-commerce site, there is often little to no interaction history for that property, so training an accurate model becomes challenging. User behavior can vary dramatically between websites -- for example, browsing patterns on a grocery site differ from those on a pet supply or electronics site. Training a model from scratch for a new domain is data hungry. Conversely, directly deploying Instacart's existing Marketplace model often fails to capture the nuances of the partner's specific inventory and user base. To address this, we developed a Domain Adaptive Learning approach that transfers knowledge from Instacart's data-rich environment to new partner environments. By treating the Instacart Marketplace as a source domain and the partner's website as a target domain, we can transfer ## Smarter Ad Spending: 5 Marketing Analytics Strategies to Optimize Your Budget DevFeed: [Smarter Ad Spending: 5 Marketing Analytics Strategies to Optimize Your Budget]() Original publisher: [Read original article]() Author: KHALIL KAFROUNI, MARKETING EXPERT @ TOPTAL Published: 2026-04-15T04:00:00Z Content type: article Language: en Sources: [Toptal Blog]() Topics: [data analytics](), [Optimization](), [databricks]() Tags: [advertising](), [analytics](), [data](), [data-analytics](), [marketing](), [optimization]() ### AI overview This article presents five marketing analytics strategies for optimizing advertising budgets, reducing wasted spend, and improving marketing ROI through data-informed decision-making. ### Source excerpt Learn expert-backed strategies to optimize your advertising budget, avoid wasted spend, and drive higher marketing ROI through data-informed decision-making. ## Our approach to advertising and expanding access to ChatGPT DevFeed: [Our approach to advertising and expanding access to ChatGPT]() Original publisher: [Read original article]() Published: 2026-01-16T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [ChatGPT](), [Artificial Intelligence](), [OpenAI](), [personalization](), [User Experience]() Tags: [ads](), [advertising](), [ai](), [chatgpt](), [company](), [openai](), [personalization](), [privacy](), [subscriptions](), [user-experience]() ### AI overview OpenAI announces the expansion of ChatGPT Go to the U.S. and all locations where ChatGPT is available, alongside plans to test ads for free and Go users. The article outlines commitments to answer independence, conversation privacy, user control, personalization choices, and an ad-free paid option. ### Source excerpt OpenAI plans to test advertising in the U.S. for ChatGPT's free and Go tiers to expand affordable access to AI worldwide, while protecting privacy, trust, and answer quality. ## ClickHouse achieves AWS Advertising and Marketing Technology Competency DevFeed: [ClickHouse achieves AWS Advertising and Marketing Technology Competency]() Original publisher: [Read original article]() Author: ClickHouse Published: 2025-08-28T00:00:00Z Content type: news Language: en Sources: [ClickHouse Blog]() Topics: [data]() Tags: [advertising](), [analytics](), [aws](), [clickhouse](), [databases](), [performance](), [real-time](), [sql]() ### AI overview ClickHouse announces that it achieved the AWS Advertising and Marketing Technology competency. The article describes its analytics capabilities for high-volume, real-time marketing workloads and cites customer use cases from Braze, Cognitiv, and Klaviyo. ### Source excerpt We're excited to announce that ClickHouse has achieved the AWS Advertising and Marketing Technology competency, recognizing our deep expertise in serving organizations across the advertising and marketing technology landscape. ## Staff Picks, June 2025: Summer of Showcases DevFeed: [Staff Picks, June 2025: Summer of Showcases]() Original publisher: [Read original article]() Author: Armando Sanchez-Monsivais Published: 2025-06-24T00:00:00Z Content type: opinion Language: en Sources: [Discord Blog]() Topics: [Discord](), [bug]() Tags: [2025](), [advertising](), [desktop](), [games](), [japan](), [japanese](), [media-and-entertainment](), [monitors](), [rpg](), [solutions]() ### AI overview Discord staff discuss notable games and summer highlights from June 2025 game showcases, including Hollow Knight: Silksong, Onimusha, Stranger Than Heaven, and Infinitesimals. ### Source excerpt 23 game showcases in June, and just as many recommendations! We're talking about all the big announcements and big summer vibes with Alex, Armando, Matt, and... Matt??? ## Introducing the Discord for Business Newsletter, Vol. 1 DevFeed: [Introducing the Discord for Business Newsletter, Vol. 1]() Original publisher: [Read original article]() Author: Discord Published: 2025-05-14T00:00:00Z Content type: article Language: en Sources: [Discord Blog]() Topics: [Discord](), [SDKs](), [Messaging]() Tags: [advertising](), [business](), [developers](), [discord](), [newsletter](), [sdk](), [updates]() ### AI overview The first Discord for Business Newsletter shares business updates, including the first anniversary of Discord Quests advertising solutions, the planned launch of Mobile Video Quests, and the Discord Social SDK for integrating social features into games. ### Source excerpt Exclusive to partners and friends, this newsletter brings you the latest updates on business opportunities within the world of Discord. Read the first issue and sign up for future entries on the Blog! ## Integrating Xandr's Real-Time Data Provider On-Premises: Infrastructure Requirements and Engineering Challenges DevFeed: [Integrating Xandr's Real-Time Data Provider On-Premises: Infrastructure Requirements and Engineering Challenges]() Original publisher: [Read original article]() Author: Guy Watson Published: 2025-04-22T22:57:37Z Content type: article Language: en Sources: [GumGum]() Topics: [real-time](), [Requirements](), [on-prem](), [Latency](), [Low Latency](), [Hardware](), [data](), [digital]() Tags: [ads](), [advertising](), [challenges](), [clients](), [data-processing](), [decision-making](), [hardware](), [infrastructure](), [latency](), [low-latency](), [metric](), [on-prem](), [performance](), [platform](), [real-time]() ### AI overview The article describes GumGum's experience integrating Xandr's Real-Time Data Provider on-premises, focusing on infrastructure requirements, scaling challenges, latency, traffic volume, and the decision to own hardware. ### Source excerpt How We Slashed Our Infrastructure Costs by 80% While Successfully Integrating Xandr's Real-Time Ad Platform!Introduction In the fast-paced world of digital advertising, maximizing return on investment (ROI) for ad spend is paramount. Buyers need to make data-driven decisions in real time to ensure their ads reach the right audience at the right moment. For us, integrating Xandr's Real-Time Data Provider (RTDP) was essential to providing the real-time optimization signals that would help our clients maximize their ROI by boosting Attention Time -- the key metric driving the effectiveness of programmatic ad campaigns. Our story is one of navigating through technical hurdles, experimenting with new infrastructure, and finding creative solutions to challenging engineering problems. As we embarked on integrating Xandr Real Time Data Provider, the path was far from straightforward. From vendor selection to scaling issues, and even the decision to own our hardware, every step had its complications. Yet, each obstacle presented an opportunity for innovation and refinement. In this article, we'll take you through the key challenges we faced, how we overcame them, and the lessons we learned from integrating Xandr on-prem. Whether you're considering a similar project or are simply curious about the behind-the-scenes of large-scale advertising tech deployments, our experience might just offer the insights you need. Xandr Integration and Its Requirements Xandr, a leading programmatic advertising platform, provides powerful tools to streamline and optimize ad delivery, targeting, and performance tracking. For us, integrating with Xandr RTDP meant integrating with the real time optimisation Xandr platform. Xandr's system, built to handle vast amounts of data in real time, comes with certain infrastructure demands. These include: Volume: The platform must be capable of handling massive amounts of traffic at any given time. For example, billions of ad impressions are processed daily, ## BGP Labs: Advertise the Default Route DevFeed: [BGP Labs: Advertise the Default Route]() Original publisher: [Read original article]() Published: 2024-03-28T07:44:00Z Content type: tutorial Language: en Sources: [ipSpace.net blog]() Topics: [BGP](), [networking](), [Routing (disambiguation)](), [firewalls](), [Internet]() Tags: [advertising](), [bgp](), [firewalls](), [internet](), [netlab](), [network](), [protocol](), [route](), [routing]() ### AI overview This tutorial explains why service providers and enterprise networks may advertise a default route through BGP instead of sending the entire Internet routing table. It points readers to a BGP lab exercise for practicing the configuration. ### Source excerpt If you're an Internet Service Provider running BGP with your customers, you might not want to send them the whole Internet routing table. Sending the regional prefixes and the default route is usually good enough. Read more ... ## A critique of Google search ads and SEO-focused results for remote-work queries DevFeed: [A critique of Google search ads and SEO-focused results for remote-work queries]() Original publisher: [Read original article]() Author: Michael Dubakov Published: 2022-11-25T15:06:35Z Content type: opinion Language: en Sources: [Stories by Michael Dubakov on Medium]() Topics: [Search engine optimization (SEO)](), [Google]() Tags: [ads](), [advertising](), [google](), [marketing](), [rant](), [search-engine](), [seo](), [spam]() ### AI overview The author criticizes Google search results for a remote-work query, describing prominent ads and generic SEO-focused articles that they found lacking in practical information. They report finding more useful resources through Hacker News and express frustration with the search experience. ### Source excerpt I used to love Google. Now I don't. I used to enjoy search for new information and explore some new topic in Google. Now I don't. I'm on the verge of switching to another search engine. Yesterday I dug into remote work. I searched for various info, primarily I wanted to find exact remote companies practices from real practitioners. This is a typical screen in Google for any relatively generic search request. Screen 1. Ads On the first screen I see only ads and some glimpse of hope in the footer. I have to scroll down. Screen 2. SEO-optimized bullshit No hope. All these articles are not good enough. All are generic, and I have a feeling most of them were written by people with zero experience in remote work. I got very little interesting info from them. I have to scroll down. Screen 3. More SEO-optimized crap More SEO-optimized articles, maybe HBR was relatively OK. I have to scroll down. Screen 4. More Ads Final screen has more ads. Is it me? Maybe in some poor country with GDP < 1K per person I will see less ads? Not sure there is VPN for South Sudan... Next page... It appeared to be very hard to find good resources about remote work. Google is filled with generic, non-concrete, SEO-oriented bullshit. I had to dig this piece of crap for an hour to find some rare gems. Most gems I found on HN. My rant is over. Hug me, please. P.S. HN discussion thread ## The next CEO of Stack Overflow DevFeed: [The next CEO of Stack Overflow]() Original publisher: [Read original article]() Author: Joel Spolsky Published: 2019-03-28T14:00:53Z Content type: news Language: en Sources: [Joel Spolsky]() Topics: [Stack Overflow](), [Microsoft](), [Software as a service](), [ASP.NET](), [mvc](), [.NET]() Tags: [advertising](), [asp-net](), [browser](), [ceo](), [co-founder](), [employees](), [microsoft](), [mvc](), [net](), [news](), [revenue](), [saas](), [software](), [stack-overflow]() ### AI overview Joel Spolsky announces that Stack Overflow is looking for a new CEO. He is stepping away from day-to-day operations to become chairman of the board, while describing the company's growth, profitability, products, employees, and audience. ### Source excerpt We're looking for a new CEO for Stack Overflow. I'm stepping out of the day-to-day and up to the role of Chairman of the Board. Read more "The next CEO of Stack Overflow" ## Understanding Attribution in Firebase Analytics DevFeed: [Understanding Attribution in Firebase Analytics]() Original publisher: [Read original article]() Author: Todd Kerpelman Published: 2017-04-27T00:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [App](), [Android](), [iOS]() Tags: [advertising](), [adwords](), [analytics](), [android](), [app-store](), [best-practices](), [firebase](), [google-analytics](), [ios](), [play-store](), [privacy](), [tutorials]() ### AI overview This Firebase tutorial explains attribution: comparing ad campaigns by the value of the users they bring, not just by click volume. It describes how advertising identifiers help networks track ad clicks through app installation and how Firebase Analytics can measure campaign performance. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Pirate Metrics: Making Money with Firebase DevFeed: [Pirate Metrics: Making Money with Firebase]() Original publisher: [Read original article]() Author: Parul Soi Published: 2017-02-03T00:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [SDK](), [dashboards]() Tags: [admob](), [advertising](), [analytics](), [best-practices](), [e-commerce](), [firebase](), [google-analytics](), [growth](), [metrics](), [play-store](), [product](), [revenue](), [sdk](), [trends](), [tutorials]() ### AI overview This article explains how to use Firebase to track and improve revenue as part of the Pirate Metrics series. It covers automatic tracking for in-app purchases through a connected Play Store account, event tracking for E-commerce purchases, revenue dashboards and purchase-based audiences, and AdMob integration for analyzing advertising revenue and trends. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Startup Online Advertising: Search Ads, Keyword Targeting, and Conversion Tracking DevFeed: [Startup Online Advertising: Search Ads, Keyword Targeting, and Conversion Tracking]() Original publisher: [Read original article]() Author: Map Published: 2011-02-19T03:55:56Z Content type: tutorial Language: en Sources: [Craig Kerstiens]() Topics: [Google Analytics](), [Google](), [Search engine optimization (SEO)]() Tags: [advertising](), [adwords](), [business](), [conversion](), [google-analytics](), [marketing](), [seo](), [tracking]() ### AI overview This installment discusses online advertising for startups, focusing on search advertising through Google AdWords. It recommends selective keyword targeting, using competitor and related-product terms, and measuring conversions by linking Google AdWords with Google Analytics. ### Source excerpt For this third part on the series I'm going to dive into what people perhaps most traditionally think of with marketing startups, online advertising. Online advertising can work, but its definitely not cheap and it does take a good about of pounding at it to know what works. I'm going to break up the three key types of advertising, based on the way I've utilized them and evaluated them recently. Contextual The first is search advertising, or contextual. The biggest usage of this has of course most recently been with google AdWords. For the complete novices out there, this is where you're ad would appear as text based on certain search keywords. You're the one that is able to determine the keywords, though google does rank you for relevance and how much you are willing to pay respective of the other person bidding on the same keywords. For a startup I'd very strongly discourage advertising for keywords you already appear as the first result. A part of this goes back to part one of the series, SEO doesn't cost you anything other than time, so invest in it. If you're already at the top of the results, why potentially pay $2 for a click, when you're already there. With limited budget you want to be very selective about which keywords you target. In our experiences the best targetting can be with regards to your competitors or similar products. Also take advantage of google's tools here. There are many tools within adwords that will suggest new keywords, rank your relevance, and show traffic to certain keywords. Always remember, what you really want is conversion, so make sure that's what you're tracking against performance. The key to doing this is linking your Google AdWords account to your Google Analytics. Google mentions in several places you should do this, but is very light on the instructions of how. So for a really quick how to: We followed a rather structured process to identify what worked. If there's enough interest in this specifically I'll do a full follow ## Why Facebook apps and iPhone app markets may offer limited returns DevFeed: [Why Facebook apps and iPhone app markets may offer limited returns]() Original publisher: [Read original article]() Author: Map Published: 2008-11-03T08:51:54Z Content type: opinion Language: en Sources: [Craig Kerstiens]() Topics: [Mobile](), [iphone](), [App](), [Website](), [Networks]() Tags: [advertising](), [app](), [app-store](), [developers](), [iphone](), [mobile](), [revenue]() ### AI overview The article argues that layoffs are occurring alongside continued demand for some job skills, but questions the returns available in crowded Facebook app and iPhone app markets. It also argues that unusually high mobile advertising rates are unlikely to be sustainable and predicts further declines in demand for niche skills as companies analyze return on investment. ### Source excerpt As I watch the news and posts roll in each day with new layoffs in the valley, ranging from large corporations such as HP and EA, down to the small guys such as seesmic, imeem, searchme, and zillow to name only a few, there still seems to be a demand for certain job skills. While as I look down the list some of these I dont feel are any longer demanded skills, and others will soon be there. In part I want to call attention to facebook first. While everyone and their brother, when launching a website wants to build a facebook app to deliver some of their content on to facebook, the time and effort put into this is no where near the return. The market has become so flooded the penetration you will get is quite trivial. Futhermore cpm's have already plummeted for advertising on facebook, ranging in some cases around .10-.15. Meanwhile iphone developers are still rushing to get their idea into the app store. While a decent idea, and I more than support new applications, so that I can use them on my phone, a 10 million person marketplace is still extremely small, especially if you're not a mainstream application. It used to be that one million users on your website was the golden point in social networks when you could really go for significant funding, or you could start talking a selling price. But thats not the case anymore, much less to reach that on the iphone you would have to be somewhere between the top 10 and top 25 elite apps. So sure, you might not have that many users that download your app right? But theres ad revenue possibilities. Well that works right now, the iphone is seeing insane cpm's in some cases as high as $50. This is simply not sustainable. While some claim that mobile advertising is the holy grail of ad's, that only works if you can capture user intent, which in contrast isn't so simple. It works for search, because well when I'm searching for something that usually captures my intent, not so for when I'm using my phone. I strongly suspect that