Full-Time
Privacy-preserving mobile marketing measurement platform
No salary listed
Bengaluru, Karnataka, India
In Person
Office-based role in Bangalore; based in the city.”
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AppsFlyer provides a platform for mobile marketing that combines measurement, analytics, engagement, and fraud protection. It helps businesses evaluate marketing effectiveness across channels and devices while protecting user privacy through privacy-preserving measurement and cost aggregation. The analytics suite unifies data to show campaign performance, and the engagement engine uses deep linking to create personalized customer journeys and boost conversions. A built-in fraud protection blocks mobile ad fraud like bots and click farms, helping teams optimize spend and trust their insights.
Company Size
1,001-5,000
Company Stage
Debt Financing
Total Funding
$1.7B
Headquarters
San Francisco, California
Founded
2011
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Professional Development Budget
Flexible Work Hours
Remote Work Options
Mental Health Support
Wellness Program
AppsFlyer secures $400 million credit line following $2.7B valuation. AppsFlyer has secured a $400 million credit line from Bank Leumi, giving the mobile measurement and attribution company additional financing following a major secondary transaction earlier this year, according to Calcalist. The financing follows a transaction in June that involved more than $1 billion and valued AppsFlyer at $2.7 billion. That deal brought investments from Google, Meta, Unity and adtech company Moloco, while also providing liquidity to several of AppsFlyer's long-standing shareholders. According to Calcalist, the new $400 million facility gives AppsFlyer additional financial flexibility to support its operations without raising more equity and diluting existing shareholders. Discover more Android OS PDAs & Handhelds The June transaction was primarily structured to allow existing investors to sell portions of their holdings. Shareholders that sold shares included General Atlantic, Magma, Pitango, Qumra, DTCP and Goldman Sachs, among others. Despite the participation of several major advertising and technology companies, AppsFlyer CEO and co-founder Oren Kaniel said at the time that the investments from Google, Meta, Unity and Moloco were minority stakes carrying no control or exclusivity. The structure was intended to preserve AppsFlyer's independence as a measurement provider while providing capital for continued product development. The financing arrives as independent attribution and measurement are taking on a changing role within an advertising market increasingly shaped by artificial intelligence. Kaniel has argued that as AI systems make more marketing decisions, independent measurement becomes more important for evaluating those decisions across competing advertising platforms. Founded in 2011 by Oren Kaniel and Reshef Mann, AppsFlyer provides measurement and analytics technology used by marketers, advertisers and app developers. Its platform tracks user acquisition sources, analyzes customer journeys and measures advertising performance across channels. The company also provides technology for detecting and blocking advertising fraud. AppsFlyer currently has an annual recurring revenue run rate of approximately $500 million and employs around 1,300 people, according to Calcalist. The company says it is profitable and generates positive cash flow. Its workforce was reduced by approximately 7% last year. The $400 million Bank Leumi credit line adds another source of capital without changing AppsFlyer's ownership structure. Combined with the June transaction, it follows a period in which the company has brought several of the largest participants in the digital advertising ecosystem onto its shareholder roster while maintaining that those investments do not provide the companies with control or exclusivity. Discover more Advertising & Marketing
AppsFlyer has secured a $400 million credit line from Bank Leumi, the Israeli mobile measurement company has confirmed. The financing follows a June transaction valued at $2.7 billion that involved more than $1 billion in investments from Google, Meta, Unity and Moloco. The June deal primarily provided liquidity to long-time investors including General Atlantic, Magma, Pitango, Qumra, DTCP and Goldman Sachs, allowing them to sell portions of their holdings. The new credit facility will give AppsFlyer additional financial flexibility without diluting existing shareholders through equity raises. Founded in 2011, AppsFlyer provides technology for measuring and analysing mobile marketing campaigns. The company is profitable with positive cash flow, generates approximately $500 million in annual recurring revenue, and employs around 1,300 people following layoffs last year.
ChatGPT Ads adds app attribution via AppsFlyer and Adjust, plus conversion bidding and geo exclusions. AI July 28, 2026 By Antonio Fernandez OpenAI has connected ChatGPT Ads to AppsFlyer and Adjust, the two largest mobile measurement partners, so advertisers can attribute app installs and re-engagement back to ads served inside ChatGPT. PPC Land reported the integrations on 24 July, alongside conversion-optimised bidding, average daily budgets, geo exclusion targeting and a bulk API for campaign management. Seven markets are live. Thailand is not one of them. What OpenAI shipped. Measurement is the headline. Since the ad pilot began, ChatGPT Ads had no way to report app installs or in-app events back to advertisers, which left app marketers buying on faith. The AppsFlyer and Adjust integrations close that hole: both now support install attribution, re-engagement attribution and in-app event postbacks. AppsFlyer covers a second job as well. It forwards web events through the Conversions API and automatically deduplicates pixel and server-side events, so the same purchase arriving by two routes is not counted twice. The rest of the release reads like a young ad platform catching up on table stakes: * Conversion-optimised cost-per-click (oCPC) campaigns, so bidding can chase conversions instead of clicks alone. * A shift from fixed budgets to average daily budgets with intraday pacing. * Geo exclusion targeting, meaning advertisers can carve locations out of a campaign. * Automatic advanced matching for web conversions. * A Bulk API for managing campaigns at scale rather than one at a time. * A refreshed product card format that shows price and star ratings. Taken together these are the controls a media buyer needs before treating a channel as a real line item rather than a test budget. Attribution, pacing, negative geo, bulk management. Unglamorous stuff, and the reason a channel graduates from a test budget to a plan. Which markets are live. ChatGPT Ads is running in the United States, Canada, Australia, New Zealand, the United Kingdom, Japan and South Korea. Mexico and Brazil are listed as pending. That is the complete picture as reported, and Thailand does not appear on either list. How the rollout got here. ChatGPT Ads launched in the United States on 9 February 2026. AppsFlyer published its integration documentation on 9 July, roughly two weeks ahead of the 24 July announcement, which is the usual pattern when a measurement partner is ready before the platform says so publicly. Anyone watching MMP release notes had a head start on this one. What this means for Thai marketers. There is nothing to buy yet. Thailand is not among the seven live markets, and no launch timing for Thailand has been published, so a media plan that assumes ChatGPT inventory in Bangkok this quarter is planning against a guess. Treat it as a watch item, not a budget line. The detail worth noting is Japan and South Korea. Two mature APAC advertising markets are already carrying the format, which is a different signal from a US and UK pilot. It says the product is being tested against non-English query behaviour and local commerce patterns. What it does not say is when, or whether, Southeast Asia follows. That part is genuinely unknown. Meanwhile there is preparation work that costs nothing and pays off regardless. If your app already reports to AppsFlyer or Adjust for Meta and Google campaigns, adding another channel later is a configuration change. Teams running install tracking on a homegrown setup, or on an MMP contract that lapsed, have real work ahead of them and no reason to wait for a launch date to start it. The same applies to web-side event hygiene: server-side events with proper deduplication are already the standard on Meta and Google, and this release shows the pattern repeating. The other half of the ChatGPT question is organic, and that half is open to Thai brands today. Buying placement inside ChatGPT is not possible here. Being the brand ChatGPT cites when someone asks for a recommendation is, and it comes down to structured content, clear entity signals and sources an assistant can quote. That is the ground covered by generative engine optimisation and by ChatGPT SEO work, both of which run on the same content you are already publishing. Common questions. Can Thai advertisers buy ChatGPT Ads today? No. The live markets are the United States, Canada, Australia, New Zealand, the United Kingdom, Japan and South Korea, with Mexico and Brazil pending. Thailand is not on either list, and no date has been announced. Which measurement partners are supported? AppsFlyer and Adjust. Both handle app install and re-engagement attribution plus in-app event postbacks. AppsFlyer also forwards web events through the Conversions API. Does this replace the ChatGPT pixel? No. The pixel and the server-side path work together, and AppsFlyer deduplicates events arriving from both so conversions are not double counted. What changed about budgets? Campaigns moved from fixed budgets to average daily budgets with intraday pacing, the same model Google and Meta buyers already work with. Is the product card change worth anything? For retail advertisers, probably. Price and star ratings now appear on the card, which brings the format closer to a shopping unit than a text ad. How it performs is not something anyone can claim yet. Where this leaves the channel. ChatGPT Ads went from a US-only pilot to a seven-market channel with real attribution in under six months. The feature gap against Google and Meta is closing faster than most people expected, and the measurement layer was the last obvious thing missing. For Thai advertisers the honest position is: not yet, but get the plumbing ready. If your app or ecommerce measurement stack would not survive a new channel being switched on next quarter, that is worth fixing now regardless of what OpenAI does next. Founder and CEO of Relevant Audience. With over 15 years of experience in digital marketing strategy, he leads teams across southeast Asia in delivering exceptional results for clients through performance-focused digital solutions. Articles related to the topics covered in this post.
AI marketing short: the open net is closing the space with walled gardens. July 27, 2026 Submitted under: Content Workshop, ad technology, advertising and marketing measurement, advertising outcomes, AI in advertising,first-party information, media buying, open net, programmatic advertising, Remco Westermann, supply course optimization, Vigor, walled gardens - Updated 1785190094 - Resource: www.adexchanger.com Two-thirds of consumer attention survives on the open internet, yet just one-fifth of advertisement invest follows it there That space is no accident. Walled yards spent the previous decade creating it. Now the void is about to close. Much better data, real financial investment in AI, reputable dimension and market consolidation are giving the open internet the tools to lastly show that it can compete with walled yards on end results, not simply get to. Open web publishers collectively get to audiences at a range that surpasses any type of closed system. Fragmented modern technology stacks, factor services and restricted exposure into end results, however, have made it structurally difficult for open web gamers to attach the appropriate marketer with the appropriate audience. Inventory that is fragmented or can not show its worth attracts less need, which causes lower CPMs. This invest imbalance partly boils down to prices. Released standards reveal marketers pay approximately double on average for comparable reach inside walled gardens contrasted to the open internet. However the inequality is also an outcome of walled gardens using their reach and information power to draw in even more budget. The obstacle for open net players has actually never been supply, however instead the facilities and information called for to show what that supply is in fact worth. Those weaknesses are now being addressed. Outcomes now matter more than media prices. For a lot of the background of programmatic advertising and marketing, the dominant advertiser concern was about cost-efficiency: How inexpensively can I acquire media? This shaped the whole technology pile- from DSPs and SSPs to exchanges and information- around cost reduction and range and made walled gardens attractive for the very same factor. Possessing considerable publishing properties offered walled gardens the capability to supply on that particular need. Nonetheless, the question that leading advertisers should ask is changing. It's no more "Just how cheaply can I buy media?" yet "What organization outcome did this financial investment actually develop?" Whether the objective is consumer procurement, market share, brand understanding or sales, the conversation has actually shifted from media cost to quantifiable effect and end results. When end results are the money, the capability to demonstrate efficiency issues greater than cheap supply, and the open net has a more powerful performance case to make. Count on walled yards is wearing down. For many years, walled yards were dealt with as the trustworthy component of the programmatic spectrum- think accurate targeting, much easier acknowledgment and quantifiable reach- which made it very easy for advertisers and their firms to invest significant media budgets without having to deal with numerous smaller-scale open web point options. However as the open internet improves its weaknesses and increases transparency, such as with recent upgrades to supply-chain presence, the family member benefit of shut environments continues to narrow. Also the systems themselves appear to recognize the trouble. Advertisers are coming to be more critical of the context in which their ads show up within walled yards. In June, AppsFlyer introduced it had actually secured greater than $ 1 billion in financial investment from Google, Meta, Moloco and Unity at a $ 2 7 billion assessment to develop independent, AI-powered advertisement measurement. AppsFlyer mentioned openly that none of the capitalists receives preferential accessibility to its APIs, measurement signals, acknowledgment logic or industrial terms. Simply put, 4 major ad tech gamers simply paid a premium for a minority stake in dimension infrastructure they explicitly do not manage, a concrete signal that they recognize rating their own research is no longer sufficient on its own. Independent, proven measurement is a critical item of common facilities. The data advantage is narrowing. Breakthroughs in AI, contextual intelligence, SDK-driven intent signals, privacy-first identity remedies and accessibility to look intent signals and LLM conversational information are giving open net platforms meaningfully better devices to predict audience actions and probability to convert, and to link advertisement direct exposure to outcomes. As these capacities mature, the distinction in between open and closed ecosystems ends up being much less regarding data accessibility and even more concerning just how efficiently signals are activated. As Kureli argued in its recent AdExchanger piece on why the future of bidding won't be won by DSPs alone, the supply side is no more simply a pipe. SSPs with straight author connections and access to SDK-level data remain on genuinely predictive signal collections. This advantage only compounds as AI gets better at triggering them. Combination is coming to be the side. The open internet ecosystem was developed around an intentional separation in between buy-side and sell-side innovation. That separation no more makes good sense. Exposure across both demand and supply, integrated with getting rid of the cost of unneeded intermediary platforms, develops advantages that point-solution suppliers can not quickly reproduce. More powerful demand draws in much better supply. Richer supply generates better information. Better information improves advertiser performance. The flywheel significantly prefers platforms that have invested in closing the loophole throughout need, supply, data and efficiency. Debt consolidation is increasing. The open net remains fragmented, yet combination is already underway. As AI ability, measurement facilities and data partnerships become table risks, the market is dividing systems that can operate at scale from those that can not. The outcome will certainly be a smaller sized number of larger and extra capable companies, ones that can credibly compete with walled yards on outcomes while preserving the diversity and author plurality that make the open web worth competing for. The path forward will be determined by who develops the greatest connection in between advertisers, authors, data and verifiable end results. The open net has constantly had the raw product. In the brand-new knowledge age, open web gamers with range, rich information and an AI-first method are shutting the outcomes void with walled gardens quickly enough to provide advertisers a genuine option. For more articles including Remco Westermann, click on this link Advised AI marketing devices. Disclosure: Kureli may earn a payment from associate links. kureli_fcd60f
$50K/Mo on 5 hrs/wk: an app founder's secret. A 23-year-old founder built a simple AI app that generates over $50,000 a month while he works just 20 hours. His secret isn't complex code or viral content - it's a repeatable TikTok ads playbook you can copy. From 9-to-5 to a $50K/Mo 'autopilot' app. Timo, at 23, generates an impressive $56,000 per month in revenue from his mobile app, working a mere 20 hours per month. This enables a global travel lifestyle, a significant shift from his prior 9-to-5 software engineering career, which he exited after only six months. Over 13 months, his app achieved over 90,000 downloads and a total of $260,000 in revenue, validating an efficient, high-leverage "autopilot" business model. His app, ChartDetector AI, offers a simple yet powerful utility. It leverages OpenAI's image analysis capabilities to interpret stock or crypto charts. Users upload a chart image, and the AI provides analysis and potential market directions. The idea for this app sparked directly from a new ChatGPT feature allowing image uploads, initially envisioned as a Telegram bot before its mobile app transformation. Monetization is direct and aggressive: a hard paywall with no free trial. This model forces immediate commitment, maximizing return on ad spend from traffic acquisition. Users face two clear options: a $12.99 per week plan or a $59.99 six-month plan. This strategy prioritizes upfront revenue, converting users directly into paying subscribers without delay or trial overhead. The TikTok ad 'money printing machine' Timo's app growth isn't built on viral content; it's a precisely engineered TikTok paid ad system. This scalable distribution channel functions as the app's primary growth engine, driving consistent user acquisition. While other founders chase organic trends, Timo leverages paid ads to achieve 13-14K downloads monthly, essentially on autopilot. Core metric for this system is Return on Ad Spend (ROAS). Timo defines a profitable ad campaign simply: spend less per download than you earn per user. For instance, spending $1.50 for a download while earning an average of $3 per user yields a 2x ROAS. Reach this threshold, and you've built a money printing machine - the objective then becomes scaling ad spend as much as possible to maximize profit. App generates $56,000 per month in revenue. After approximately $20,000 in ad spend and around 15% in Apple fees, a healthy 25% profit margin remains, translating to roughly $11,500 in monthly profit. Paid ads enable Timo to buy back time, effectively earning $500 per hour for his minimal 20 hours per month working on the app. The founder's TikTok ads playbook. Prepare your app for paid ads pre-launch. Optimize onboarding by selling the actual outcome users gain, not just features. Integrate ample social proof directly into the onboarding flow to build immediate trust. Crucially, implement comprehensive tracking with a Mobile Measurement Partner (MMP) such as AppsFlyer. This setup is non-negotiable for accurate performance measurement. Configure TikTok campaigns with precision. Utilize TikTok's Smart+ campaigns; these leverage AI to identify optimal audiences automatically. Allocate a minimum daily budget of $50 to provide the algorithm sufficient data for learning and optimization. Target broadly at the country level, allowing the AI to refine audience segments. Most critically, optimize campaigns for subscription events, not merely app installs. This trains TikTok's algorithm to prioritize finding users willing to pay immediately. Timo's strategy relies on a hard paywall, making this optimization essential for a profitable ad spend. This direct approach to monetization drives his high ROAS. Enjoying this? Get one like it in your inbox each morning. one email a day · unsubscribe in two clicks · no third-party tracking Scaling to $50K: rules & tech stack. Scaling requires disciplined execution to maintain profitability. Monitor Return on Ad Spend (ROAS) weekly, ensuring every dollar spent yields positive returns. Increase your ad budget incrementally, never exceeding 20% every three days. This critical pacing prevents resetting the algorithm's seven-day learning phase, maintaining campaign stability and maximizing long-term efficiency without overspending. Combat creative fatigue with a relentless pipeline of fresh video ads. TikTok's algorithm thrives on new content; simple screen recordings demonstrating the app in real-time use consistently prove most effective. Rapidly replace underperforming creative assets to sustain campaign health and engagement, preventing ad spend waste on stale content. Operate a low-maintenance, high-revenue business on a minimalist, powerful tech stack. This lean architecture supports the entire autopilot operation, minimizing overhead and technical debt, enabling a 20-hour work schedule per month. * App development: React Native/Expo for efficient cross-platform deployment, targeting both iOS and Android. * Backend infrastructure: Supabase handles database, authentication, and real-time capabilities without extensive server management. * AI functionality: OpenAI provides the core generative AI analysis for ChartDetector AI's unique features. * Subscription management: RevenueCat simplifies all in-app purchases, subscriptions, and entitlements across app stores. * Mobile attribution and analytics: AppsFlyer delivers essential tracking for ad performance, LTV, and user behavior. Frequently asked questions. What is the ChartDetector AI app? It's an AI-powered mobile app that analyzes images of stock and crypto charts to provide users with potential market direction insights, leveraging OpenAI's technology. How does the app generate over $50,000 per month? It uses a scalable paid acquisition model on TikTok, driving users to a hard paywall with no free trial. This strategy ensures an immediate return on ad spend from its weekly and six-month subscription plans. What is the profit margin for this app business? The business operates at approximately a 25% profit margin. After deducting significant costs like a ~$20,000 monthly ad spend and Apple's platform fees, the founder nets over $11,000 in profit per month. What is the core of this TikTok ad strategy? The strategy involves using TikTok's Smart+ campaigns, optimizing for actual 'subscription events' rather than app installs, and starting with a budget of at least $50/day and a minimum of six video creatives. Found this useful? Share it. For builders Want Stork to write one of these about your product? Send Stork a URL. Stork use the product, form a view, and publish what Stork actually think - in 8 languages, labeled Sponsored, with no copy approval on your side. That last part is what makes it worth quoting.