With strong policy support, unremitting technological innovation and industrial upgrading, China's economic recovery continued to gather steam in the third quarter, with its GDP expanding by 4.9 percent from a year earlier,

China's economy to rebound with huge mkt potential

AppsFlyer is building a marketplace so advertisers can share user-level data with third-parties without actually sharing any user-level data.

AppsFlyer Adds To Its Privacy Cloud With A Clean Room-Inspired Marketplace

That’s according to the India Festive Report for 2023, an effort between AppsFlyer and Meta Platforms which highlights signs of economic recovery. Let’s take a look. Consumer spending has been on the rise in India, leading to an impressive 71% increase ...

Festive boost: 71% surge in Indian in-app purchases

User acquisition for mobile apps is a challenging endeavor where mistakes can carry a heavy cost. Early-stage startups commonly budget $50,000-$100,000 monthly for user acquisition efforts. As apps mature,

Why you need a user acquisition audit for your mobile app in 2023

Battery Ventures, the global, technology-focused investment firm that backs cloud companies, today revealed its sixth-ever rankings of the 25 Highest-Rated Public Cloud-Computing Companies and 25 Highest-Rated Private Cloud-Computing Companies to Work For ...

Cloud Software Investor Battery Ventures Unveils the 25 Highest-Rated Public and 25 Highest-Rated Private Cloud-Computing Companies to Work For

Moloco Inc, a Silicon Valley-based ad-tech solutions startup, is eyeing huge growth opportunities in the rapidly developing China market, as a rising number of Chinese companies in fields like gaming and e-commerce are seeking global expansion.

Ad-tech firm Moloco bullish on China prospects

Dive in and let the brain feast begin!💡📰 📌 AdQuantum’s Creative Production Director, Ivan Razmakhov, is speaking at MAMA Georgia by AppsFlyer Less than a month remains until our ...

Mobile Digest Monthly №30

Is probably what you’re thinking when, as a UA Manager, you see your most important KPI dropping like fall leaves. Can you guess which metric I’m hinting at? Yep, ROAS and that ever-dreaded ...

Your cure for a dropping ROAS

It's that time of the year again - the App Promotion Summit opens its doors in San Francisco at W Hotel to greet subscription app strategy experts. This

Subscription app strategies from top experts this Thursday in W Hotel in San Francisco

In today's data-driven world, where insights fuel innovation, responsible collaboration is paramount. Our data clean room partnerships establish a secure place where data-informed insights and privacy protection converge harmoniously,

Evorra Partners With AppsFlyer to Power Compliant Data Collaboration

AppsFlyer

appsflyer

Addressable, a Web3 growth suite, has announced a partnership with AppsFlyer, a renowned mobile analytics platform. This partnership signifies a significant advancement in the mobile marketing sector, particularly for Web3 mobile applications, this connection enables mobile developers to use on-chain data to optimise their ad campaigns, an industry-first endeavour that promises to significantly improve marketing campaign efficacy. Addressable and AppsFlyer mobile advertising campaigns in accordance with On-Chain Lifetime Value (LTV) is a revolutionary concept that is presented by Flyer's partnership. As a result of this approach, the emphasis switches from cost-per-install analytics to the enhancement of on-chain conversions, which disclose the real spending and transaction histories of Web3 customers. Whales are users who are acknowledged for their big transactions inside the Web3 ecosystem and their high net value. Marketers, for example, may now concentrate on "whales." For the purpose of enabling this targeting, dependable on-chain wallet data is used. This makes the process of categorising and targeting certain groups of users more precise and effective. The shifting scenario was brought to light by Alex Yip, Director of Product Discovery for AppsFlyer, who said, "We've witnessed a surge in mobile adoption across the Web3 industry that encompasses new data needs and capabilities." Through the incorporation of Addressable into the AppsFlyer marketplace, Web3 advertisers are able to reap the benefits of a comprehensive picture of mobile analytics, which, when paired with accurate on-chain conversion data, allows them to improve the efficiency of their advertising campaigns. Prior to a recent period of time, mobile marketing solutions focused mostly on tracking and improving app installations as well as user conversions inside the app itself. On the other hand, this outdated strategy often ignored the vast amount of data that is available on the blockchain. The infrastructure that Addressable provides allows marketers to modify their marketing tactics by making use of on-chain conversion data. This data includes deposit events into wallets and exchanges. This makes it possible to have a more in-depth understanding of user behaviour and spending patterns, which is essential for effectively targeting and engaging significant customers. Mobile Marketing Ecosystem As a technology expert monitoring these developments, I believe the combination between Addressable and AppsFlyer is a game-changing move that has the potential to alter mobile marketing techniques across several sectors. This collaboration exemplifies the shifting environment in which data intelligence and technical improvements combine to provide highly targeted and successful marketing solutions. The future of mobile marketing, especially in the Web3 realm, is bright. Marketers should anticipate improved campaign success, greater conversion rates, and, ultimately, increased user engagement as their on-chain tracking and analysis tools improve. This initiative is not solely focused on technological integration; it aims to create a more transparent, efficient, and user-centric marketing environment. Addressable and AppsFlyer's strategic alliance is more than simply a technology improvement; it's a bold step towards establishing a more connected and data-driven marketing environment that meets the demands of both contemporary consumers and marketers. Moving forward, this partnership will likely serve as a model for others in the sector, signaling a shift towards more integrated and intelligent marketing techniques in the digital age. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Addressable , a Web3 growth suite, has announced a partnership with AppsFlyer , a renowned mobile analytics platform. This partnership signifies a significant advancement in the mobile marketing sector, particularly for Web3 mobile applications, this connection enables mobile developers to use on-chain data to optimise their ad campaigns, an industry-first endeavour that promises to significantly improve marketing campaign efficacy. Addressable AppsFlyer Addressable and AppsFlyer mobile advertising campaigns in accordance with On-Chain Lifetime Value (LTV) is a revolutionary concept that is presented by Flyer's partnership. As a result of this approach, the emphasis switches from cost-per-install analytics to the enhancement of on-chain conversions, which disclose the real spending and transaction histories of Web3 customers. Whales are users who are acknowledged for their big transactions inside the Web3 ecosystem and their high net value. Marketers, for example, may now concentrate on "whales." For the purpose of enabling this targeting, dependable on-chain wallet data is used. This makes the process of categorising and targeting certain groups of users more precise and effective. Addressable AppsFlyer The shifting scenario was brought to light by Alex Yip, Director of Product Discovery for AppsFlyer, who said, AppsFlyer, "We've witnessed a surge in mobile adoption across the Web3 industry that encompasses new data needs and capabilities." "We've witnessed a surge in mobile adoption across the Web3 industry that encompasses new data needs and capabilities." Through the incorporation of Addressable into the AppsFlyer marketplace, Web3 advertisers are able to reap the benefits of a comprehensive picture of mobile analytics, which, when paired with accurate on-chain conversion data, allows them to improve the efficiency of their advertising campaigns. Prior to a recent period of time, mobile marketing solutions focused mostly on tracking and improving app installations as well as user conversions inside the app itself. On the other hand, this outdated strategy often ignored the vast amount of data that is available on the blockchain. The infrastructure that Addressable provides allows marketers to modify their marketing tactics by making use of on-chain conversion data. This data includes deposit events into wallets and exchanges. This makes it possible to have a more in-depth understanding of user behaviour and spending patterns, which is essential for effectively targeting and engaging significant customers. Mobile Marketing Ecosystem As a technology expert monitoring these developments, I believe the combination between Addressable and AppsFlyer is a game-changing move that has the potential to alter mobile marketing techniques across several sectors. This collaboration exemplifies the shifting environment in which data intelligence and technical improvements combine to provide highly targeted and successful marketing solutions. The future of mobile marketing, especially in the Web3 realm, is bright. Marketers should anticipate improved campaign success, greater conversion rates, and, ultimately, increased user engagement as their on-chain tracking and analysis tools improve. This initiative is not solely focused on technological integration; it aims to create a more transparent, efficient, and user-centric marketing environment. Addressable and AppsFlyer's strategic alliance is more than simply a technology improvement; it's a bold step towards establishing a more connected and data-driven marketing environment that meets the demands of both contemporary consumers and marketers. Moving forward, this partnership will likely serve as a model for others in the sector, signaling a shift towards more integrated and intelligent marketing techniques in the digital age. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: business blogging program business blogging program

Addressable and AppsFlyer Revolutionize Mobile Marketing with Blockchain Integration

Addressable এবং AppsFlyer Blockchain ইন্টিগ্রেশনের সাথে মোবাইল মার্কেটিংকে বিপ্লব করে

Addressable und AppsFlyer revolutionieren Mobile Marketing mit Blockchain-Integration

Addressable y AppsFlyer revolucionan el marketing móvil con la integración de Blockchain

Addressable et AppsFlyer révolutionnent le marketing mobile avec l'intégration de la blockchain

एड्रेसेबल और एप्सफ्लायर ने ब्लॉकचेन एकीकरण के साथ मोबाइल मार्केटिंग में क्रांति ला दी

Addressable と AppsFlyer がブロックチェーン統合でモバイル マーケティングに革命を起こす

어드레서블(Addressable)과 앱스플라이어(AppsFlyer)는 블록체인 통합으로 모바일 마케팅에 혁신을 가져왔습니다.

Addressable e AppsFlyer revolucionam o marketing móvel com integração Blockchain

Addressable и AppsFlyer революционизируют мобильный маркетинг благодаря интеграции блокчейна

Adreslenebilir ve AppsFlyer, Blockchain Entegrasyonu ile Mobil Pazarlamada Devrim Yaratıyor

Địa chỉ và AppsFlyer Cách mạng hóa hoạt động tiếp thị trên thiết bị di động bằng tích hợp chuỗi khối

Addressable 和 AppsFlyer 通过区块链集成彻底改变移动营销

Got A Startup With An App? You Need AppLovin

Het jy begin met 'n toepassing? Jy het AppLovin nodig

একটি অ্যাপ দিয়ে একটি স্টার্টআপ পেয়েছেন? আপনার অ্যাপলোভিন দরকার

Imate startup sa aplikacijom? Potreban vam je AppLovin

¿Tienes una startup con una aplicación? Necesitas AppLovin

Tes un inicio cunha aplicación? Necesitas AppLovin

アプリを持つスタートアップ企業をお持ちですか？AppLovinが必要です

Қолданба бар стартап бар ма? Сізге AppLovin керек

Masz Startup z Aplikacją? Potrzebujesz AppLovin

د یو اپلیکیشن سره یو پیل ترلاسه کړ؟ تاسو AppLovin ته اړتیا لرئ

Ai un startup cu o aplicație? Ai nevoie de AppLovin

Имате стартуп са апликацијом? Потребан вам је АппЛовин

ایک ایپ کے ساتھ اسٹارٹ اپ حاصل کیا؟ آپ کو AppLovin کی ضرورت ہے۔

How to Power up your Digital Marketing with Deep Learning Predictions

গভীর শিক্ষার পূর্বাভাস দিয়ে কীভাবে আপনার ডিজিটাল মার্কেটিংকে শক্তিশালী করবেন

So steigern Sie Ihr digitales Marketing mit Deep Learning-Prognosen

Cómo potenciar su marketing digital con predicciones de aprendizaje profundo

Comment dynamiser votre marketing numérique avec les prédictions du Deep Learning

डीप लर्निंग भविष्यवाणियों के साथ अपने डिजिटल मार्केटिंग को कैसे सशक्त बनाएं

ディープラーニング予測でデジタルマーケティングを強化する方法

딥 러닝 예측으로 디지털 마케팅을 강화하는 방법

Como potencializar seu marketing digital com previsões de aprendizado profundo

Как усилить свой цифровой маркетинг с помощью прогнозов глубокого обучения

Derin Öğrenme Tahminleriyle Dijital Pazarlamanızı Nasıl Güçlendirebilirsiniz?

Cách tăng cường hoạt động tiếp thị kỹ thuật số của bạn với dự đoán học sâu

如何利用深度学习预测增强你的数字营销

This week we released the first version of Fine - a platform for building software with agents. In the year It took us to get here, we’ve navigated a journey filled with challenges, failures, disappointments, and accomplishments. I wanted to take a moment to share my experience with you, and I hope that you will find inspiration in our story. AI A different way to ideate About a year ago, our team of three founders started our ideation process. We wanted to build something we would enjoy using, and seeing that we are programmers, we were interested in the area of developer tools. We knew that every good startup is based on a great problem, so we set out looking for worthy problems developers face. The common way to do that is by conducting interviews with future clients, so we were looking to interview leading R&D execs in order to hear all about the problems their organization faces. Now, these R&D execs are busy people. We can’t just reach out to them and expect them to make time for us. Add to that the fact that conducting customer interviews is not an easy job. You need to get the interviewee to open up, and don’t expect them to say “This is EXACTLY the problem I’m facing”. The way we solved this problem? We decided to produce a documentary web series and have them participate in it. If we convince the companies to participate, we thought, we would get direct access to every person we want to interview in the organization. And that’s exactly what happened. We went on to create Dark{mode}, the first web series about developer experience (later, it became the largest tech web series in Israel). We spent over 60 hours interviewing R&D executives from companies like and We told the participants in advance that “the conversations are going to deal with everything that doesn’t work. Don’t tell us the good stories”. And so, during the interviews, we got to hear about all the problems that affect the developer experience. The talks uncovered 81 "blockers" that hinder progress in the tech world and range from the fields of PRs and Design to Communication and teamwork. Wix, Taboola, AppsFlyer, AI21 Labs. The approach we took had its pros and cons. You can probably guess that producing a web series is not an easy task. It involved more people than we initially anticipated, required content verification by the featured companies, and demanded collaboration with numerous service providers to maintain a high-quality standard. All of this consumed precious hours that could have been devoted directly to our startup. However, this unconventional path had its advantages. We gained direct access to the interviews we needed and garnered attention in Israel's tech scene, making it easier to connect with investors. The Birth of Fine Inspired by the challenges we uncovered during our interviews, we started looking for ways to make a meaningful impact. Three critical factors guided our thinking throughout this process: We continuously asked ourselves where the software world was headed. What solutions would be in demand not just today but tomorrow as well? Anticipating the Future: We assessed our team's unique skill set to understand how we could best support our idea. Leveraging Our Skills: We kept a keen eye on emerging technologies that were previously unavailable. Embracing New Technologies: Eventually, after iterating on a few ideas, we envisioned an AI-powered platform where developers get the most assistance in building software. We were not happy with only boosting their productivity, we wanted devs to be able to delegate entire software tasks to AI. We imagined that devs would only have to deal with they want to build, and not with . Content with our idea, we started putting it out there and talking about it with everyone we could and trying to raise initial capital. what how Our journey didn’t start smoothly. In a market still uncertain about the future of AI in software development, securing funding was no easy task. The first three months were marked by relentless pitching, numerous rejections, and an industry on edge. But we refused to be discouraged; we decided to focus on building our vision, believing that Fine's true potential would become evident with time. We also realized that if we were to truly stand on our promise, we would be able to use our own product to continue building it — a concept called "eating your own dog food." Early Milestones and Building a Community Our journey gained momentum as we started building the platform. We launched a community and sought early adopters willing to try Fine. Gradually, our community expanded, and Fine garnered attention online. I personally engaged with new Discord users, gathering feedback to refine our product and progress beyond the Proof of Concept stage. Discord The interviews with community members helped us understand that we need to set ourselves apart from competitors by prioritizing collaboration and teamwork, protecting privacy, and allowing the creation of multi-agents. After three more months, our hard work paid off when we secured our first client. It was a pivotal moment for us, a testament to the potential of our product and the dedication of our team. Our user community continues to grow, with almost 400 users joining the Fine journey, eager to explore the future of software engineering. What’s next for us? Today we are releasing the first version of Fine. Learning from our past mistakes, we will onboard a limited number of users, and provide free credits to help them get started. During our launch week we expect to find oh-so-many bugs, fix issues, and be more engaged with our community. Updates will continue to roll out, but you can expect us to follow Supabase’s “Launch Week” pattern, which is a great best practice for startups. Throughout this year of challenges and countless rejections, our vision for Fine remained our guiding light. It may sound like a startup cliche, but it genuinely sustained us during the tough times. Ours is to replace the traditional IDE and become the definitive entry point for software development. This vision fuels our determination, especially when faced with adversity. It's crucial to maintain a bold yet clear vision. Our journey is far from over. We know that the road ahead will be long and filled with challenges, but we are determined to keep our eyes on the ultimate goal. Every email, every breakthrough, and every step forward brings us closer to realizing our vision. The story of Fine is just beginning, and I invite you all to be a part of it. Together, we can redefine the future of software development and bring about a new era of productivity and creativity. If you are a software developer, I invite you to join us today on this exciting journey and make something extraordinary together. Our product is waiting for you , and is where you can get help and support. here our Discord community Also published . here

How Fine Went From Producing a Web Series to Building a Startup

Qué tan bien pasó de producir una serie web a crear una startup

Comment s'est passé la production d'une série Web à la création d'une startup

एक वेब सीरीज बनाने से लेकर एक स्टार्टअप बनाने तक का सफर कितना अच्छा रहा

Web シリーズの制作からスタートアップの設立までがどのようにうまくいったか

Como foi a produção de uma série na Web até a construção de uma startup

Quá trình từ sản xuất một loạt trang web đến xây dựng một công ty khởi nghiệp đã diễn ra tốt đẹp như thế nào

Fine 是如何从制作网络连续剧到创办一家初创公司的

Launching an app is an exciting and complex process, filled with high expectations from founders, investors, and your team. The success of your launch strategies largely hinges on how you approach each step. This article offers actionable insights to strengthen your app launch process. Testing. A Prerequisite for Successful Launch In this journey, testing plays a vital role. Avoid releasing a flawed product prematurely, and you will be able to prevent negative experiences that lead to detractors and safeguard your brand's reputation. Here's a rundown of standard testing stages to ensure optimal user experience before the final release, with valuable tips and examples of publicly available services that can assist you in that: Internal Testing In this first stage, your in-house team would thoroughly test the app to identify and fix any issues, ensuring the core features work as intended. The team might use automated tests for basic functionalities, create a checklist of features and scenarios to test and maintain proper documentation — anything that helps ensure everything goes as intended. For these needs, you can utilise a wide range of services, starting from for bug tracking and project management, where you can document, track, and collaborate on fixing software bugs, ending with for automating web browsers and allowing for repeated and consistent testing of web applications. Jira Selenium Closed Testing, aka "Friends and Family" Once your app has reached a more advanced stage, it undergoes testing with a larger yet trusted group of users. This step enables targeted feedback and helps finetune the app based on real user experiences. Here, it is vital to start by choosing users who represent diverse profiles that match your target demographic, letting them know that you value critical feedback, and providing them with a structured format or questionnaire to gather consistent and valuable insights. At this stage, some of the tools might come in handy. might be more than enough for quick gathering of user feedback, but you can utilise the services with broader functionality such as (helps to gather user feedback with a simple embeddable widget), (a tool sharpened for creating feedback forms or questionnaires) or even , which allows for getting video feedback from users testing your app. Google Forms FeedbackFish Typeform UserTesting Open Testing It is the final stage before the official launch. Your app becomes available to a broad audience of innovators, facilitating extensive testing across multiple scenarios and setting the stage for market release. This audience tends to be more forgiving of potential shortcomings and actively contributes to the product evolution. is a platform for product discovery that can be used for open testing to gain momentum among early adopters. Similarly, , a platform where startups can introduce their products to an eager audience for open testing, can assist you in refining the app based on actual user feedback. ProductHunt BetaList Before its official 2013 release, conducted with select companies, effectively addressing feedback and bugs. Slack sent out 8,000 invitations during its beta preview and received 15,000 new user requests, indicating high anticipation. By the end of that year, tens of thousands used Slack daily. This strategic approach to feedback and controlled release led to a 5% to 10% weekly user growth rate, resulting in a well-received and rapidly adopted product. Slack rigorous testing Feedback. After the Launch, New Reviews Go Public Pre-launch testing aims to identify and correct errors that affect user experience. During this period, app store ratings and reviews are disabled until the solution is publicly available to prevent premature public feedback. ensure Launching an app without adequate testing can lead to unfavourable public feedback, affecting the conversion rate from page visits to installations and organic reach. Data from Apptentive the gravity of this situation, revealing that an . This number deteriorates further for apps rated one to two stars. While . underscores app with a mere three-star rating loses out on 50% of potential downloads a transition from three to four stars can still boost it by 89% Crucially, . Given that 79% scrutinize ratings before downloading, 53% before updating, and 55% before in-app transactions, the emphasis on securing positive reviews and ratings has never been more paramount for app developers. 90% of users deem star ratings pivotal when evaluating new apps Hence, avoiding negative reviews and considering strategies for gaining positive feedback is essential. The ideal time to request such contributions is after a good user experience, like completing a transaction or achieving a goal. This ensures that initial feedback is positive and can attract more potential users. Support. More Users Translate to Increased Support Demands When planning to scale user acquisition, it is essential to anticipate the potential surge in support needs. Slow support breeds frustration and increases the likelihood of escalated measures by users, such as public criticism. A contingency plan for anticipated or unforeseen spikes in demand helps maintain control over the quality of support provided and user satisfaction. It is essential to tackle understaffing in customer service. You can exploit knowledge bases like or with FAQs and step-by-step guides, along with AI-powered customer service tools like and (both integrate AI-powered chatbots for immediate responses) to enhance efficiency. Zendesk Guide Freshdesk Drift Intercom The support team often uncovers user-reported navigation issues and bugs. Stay alert to the critical reasons behind support tickets and identify improvement opportunities within growing demands, fostering clear communication and regular reporting. Measurements. What Gets Measured Gets Managed Mapping user navigation from the outset aids in highlighting pain points, usability problems, and opportunities for product enhancement or development. Tracking conversion costs and baseline rates is vital as your optimisation starting point. Before deploying your app, ensure that essential processes and events are accurately mapped and prompt the required information. This process aids in tracing the user's journey, which can then be optimized to enhance the overall conversion rate. For instance, refer to this chart to see the mapping opportunities in a travel booking app: After meticulously mapping out all the significant events to monitor within your app, the next step involves establishing the criteria for effective implementation. AppsFlyer offers a comprehensive tailored with recommended ensuring you capture the most relevant data for your industry. event generator in-app events categorized by business vertical , Once you've identified which journey stages have the most significant drop-offs or barriers, you can begin to refine or optimise them. This could involve adjusting the content or design to be more engaging or more straightforward, offering incentives to encourage movement to the next stage, or streamlining processes to remove unnecessary steps or friction. Product analytics platforms offering real-time insights into key performance indicators are essential for tracking goals and results and sharing metrics with the team. Whether it is *, , *, they can assist in both identifying problem areas in the funnel and tracking your aims. Amplitude Mixpanel Google Analytics Strategic Communication. Engage with Your Internal and External Audiences When it comes to testing and launching, one of the most valuable forms of learning stems from communicating with your audience. However, this communication must be centralised, organised, and action-oriented to generate knowledge. The team provides an initial, cost-free assessment during internal testing, allowing for diverse perspectives from technical, legal, and customer-facing teams. The same checks should be conducted when engaging with real users. When launching a digital product, it is essential to define and communicate the channels through which these interactions should occur, whether to receive customer requests or to provide the team with a summary. Recapping By mapping user experience, measuring results, and valuing initial feedback, you lay a solid foundation for your app launch. Pre-launch testing, efficient support, and strategic communication set the stage for an optimised experience. Tailoring features to align with these needs and cultivating a seamless user experience increases the odds of a triumphant launch and builds an authentic, lasting connection with your audience. What if a commonly overlooked feature could be the game-changer in your user's daily routine? The key lies in tuning into your users' voices and letting their feedback shape the evolution of your app, pushing it forward to the forefront of its niche.

Supercharge Your App Launch: Testing, Support, Feedback, Measurements, and Strategic Communication

The lead image for this article was generated by HackerNoon's AI Image Generator via the prompt "apple logo" 's platform presents an array of options for app developers and marketers to promote their apps. Among these, stand out as a robust tool for promoting subscription-based apps. But what makes Apple Search Ads so special? The secret lies in the rich, accurate marketing attribution data they provide. Apple Apple Search Ads In this article, I'll dig into the world of Apple Search Ads, how they function, and how you can leverage them to grow your app. Understanding Apple Search Ads Apple Search Ads is a mobile ad platform that allows developers to advertise their apps directly within the App Store search results. When users search for a specific keyword related to your app, your ad can appear at the top of the search results, thereby increasing your app's visibility and potential downloads. This targeted approach makes it a potent tool for promoting subscription-based apps. The Impact of Apple Search Ads The effectiveness of Apple Search Ads is supported by robust statistics that highlight the platform's potential for success. According to AppsFlyer's benchmark index (https://index.appsflyer.com/), Apple Search Ads is ranking number #1 for non-gaming apps user acquisition by retention, showing high value of users acquired through the platform. These underscore the potential of Apple Search Ads for promoting subscription-based apps, making it a key element in any subscription app marketing strategy. The Benefits of Accurate Marketing Attribution Data Marketing attribution data forms the backbone of any advertising campaign. It helps you determine which campaigns, keywords, or ads drive the most subscriptions or in-app purchases, allowing you to optimize your advertising budget for better results. One of the major benefits of Apple Search Ads is that they provide this data on a keyword level, making it easier to attribute in-app revenue and in-app subscriptions to the exact ad spend. However, accessing this rich data through Apple's API can be challenging without the right technical tools. Simplifying Data Access with Qonversion Most likely you don't have time and resources to build your attribution solution on top of Apple's API. You want to focus on buidling your app and growing it. So you need to use third party solution to jump start you Apple Search Ads user acquisition. We at Qonversion are building the powerful analytics platform specifically designed for subscription apps. For full disclosure, I'm the Co-Founder of Qonversion. Qonversion takes the complexity out of accessing Apple's API by offering this functionality out of the box, enabling you to easily track and analyze your marketing attribution data. Setting up Qonversion is straightforward. Once you've linked your app with Qonversion, you can start receiving accurate marketing attribution data from your Apple Search Ads campaigns. You are getting ASA data in a simple customizable dashboard with all metrics needed - from impressions and installs to subscriptions and revenue. You can also see the ROAS of your campaigns and even keywords. This empowers you to make informed decisions about your ad spend, understand your return on investment, and ultimately grow your subscription base. Apart from simplifying access to Apple Search Ads attribution data, Qonversion provides in-depth subscription analytics that help you understand your app's performance. It offers insights into subscription metrics like conversion rates, retention rates, and churn rates, giving you a holistic understanding of your app's health. It's not just an analytics tool; it's a comprehensive solution for managing and optimizing your subscription-based app. Conclusion Apple Search Ads, combined with the power of Qonversion, can greatly enhance the promotion of your subscription-based apps. By unlocking access to accurate marketing attribution data, you can better attribute in-app revenue and subscriptions to specific campaigns or keywords. This, in turn, empowers you to optimize your ad spend, making every dollar count towards acquiring valuable users for your app.

An Intro to Apple Search Ads for Subscription-Based Apps

Online advertising has become crucial for a business to thrive in today's digital age. With the ability to reach millions of potential customers through targeted ad campaigns, businesses are investing heavily in their advertising budgets. However, a looming threat can undermine these efforts: ad fraud. In this article, I'll delve into the complex issue of ad fraud and explore its three main types. I’ll teach you to recognize them and guide you on what to do when you suspect any fraudulent activity. Additionally, we'll discuss various ad fraud prevention techniques that businesses can implement to protect themselves and their campaigns. Understanding Ad Fraud Ad fraud refers to any activity that generates fake ad impressions or clicks, tricking advertisers into paying for non-existent or ineffective ad campaigns. The impact of ad fraud on advertising budgets can be devastating, resulting in wasted resources, lost revenue, and damage to brand reputation. Ad fraud is estimated to cost the advertising industry billions of dollars annually. With online marketing becoming increasingly sophisticated and diverse, ad fraud has grown in both scope and complexity. Let’s take a look at the three primary types of ad fraud to watch out for. Click Fraud What is click fraud? Click fraud is a type of ad fraud that involves interfering with user interactions with ads. One typical example is click-spamming, where a fraudster intercepts a real user's click from another source (such as an organic or advertising click) and assigns it to themselves by generating multiple automatic clicks. The user may then install the application, but the analytics system will attribute the installation to the fraudulent partner and not the source. How can you detect it? Fortunately, detecting this type of fraud is easier than the others. One way is by analyzing statistics. Unlike a real user, a fraudster does not download the application, so fictitious actions will show in the numbers. Abnormally frequent user clicks, short intervals between a click and an install, a sharp one-time increase in installs, and, of course, a low conversion rate should alert you. Usually, the figures are compared with the average for the last few months. You can also analyze the source of the traffic to make sure it's diversified, with no single authority responsible for a significant portion of the traffic. However, Apple's privacy policy , which allow users to restrict access to ad interaction data in AppStore apps, have made detecting click fraud more difficult. This means that some data for analysis and fraud detection may not be available. updates Hardware Fraud What is hardware fraud? Fraudsters can use bots that imitate app installs, and I classify this type of fraud as hardware fraud. It is commonly found in gaming apps on Android, as there are many pre-built emulators available. Another way fraudsters engage in hardware fraud is by using virtual machines or cloud servers to simulate multiple devices and generate fake installations. In this case, the fraudster may use different IPs and locations to create the impression that the installs come from different devices and users. How can you detect it? To detect hardware fraud, you can use an anti-fraud system to automatically check the device settings during installation. The system can flag inconsistencies such as incorrect device models or operating systems that don't match the real device. For example, a fraudster may indicate a priority phone or browser model that does not match the device. Detecting the second type of hardware fraud can be more challenging since fraudsters can make the device's characteristics and location appear legitimate. In this case, you might need to run a more thorough analysis of behavior patterns to detect inconsistencies in the data. Behavioral Fraud What is behavioral fraud? This is a rather sophisticated form of ad fraud where bots mimic human behavior and engage with the app. These can also be real people who are paid to perform simple tasks, for example, in dating apps, where ad budgets are spent not only on installations but also on user activity. Another example of behavioral fraud is incentivized traffic, where users are offered rewards or incentives for downloading and using an app. Since these users are only motivated by the reward, this creates a low-quality user base that is unlikely to generate revenue for the advertiser. Numbers of installs and user engagement skyrocket, but there’s hardly any value in them. How can you detect it? Start by analyzing user activity statistics. If user sessions are abnormally frequent, long, or too short, this might be a tell-tale sign you’ve become a victim of fraud. Again, compare these indicators with the last few months’ average values to identify anomalies. Additionally, analyzing the quality and attention of users to the app over time can help to detect incentivized traffic fraud. Platforms Most Affected by Fraud Web First and foremost, there’s web fraud. In essence, it involves generating fake traffic on websites to artificially increase the number of ad impressions, clicks, and conversions. Advertisers pay for this non-existent or low-quality traffic, leading to wasted advertising budgets and decreased ROI. Research shows that web fraud is more prevalent than other forms of online ad fraud, with websites being targeted 25% more often than mobile apps. All types of websites, from news and entertainment to e-commerce and social media, can be affected. However, websites with low traffic volume or lower quality control in their ad networks are more prone to fraud. Video ads are a prime target for fraudsters, accounting for almost of all ad fraud.   A common tactic here is to pass off banner ad space as video placement and sell it at a higher price. 64% Mobile Mobile app fraud is a significant issue in the programmatic ecosystem. , exposure to fraud has skyrocketed by 157% to $5.4 billion worldwide. Unlike desktop fraud, mobile app fraud often operates through downloads from trusted marketplaces such as the App Store or Google Play, making it difficult to detect and prevent. The traditional web fraud tracking model simply wouldn’t work. According to McKinsey One of the most common types of mobile app fraud is click injection. Fraudsters use malware to trigger fake clicks just before an app is installed or updated. The worst part is, these clicks can look like they're coming from real, legitimate users, making it hard to recognize them as fraud. iOS vs Android In 2020, in an effort to combat ad fraud and disruptive advertising, Google removed around 600 Android apps and banned their developers from the Play Store. Naturally, the problem of fraud in mobile advertising affects both iOS and Android platforms, but scammers tend to target Android devices more often because they make up a larger portion of the market. As much as 90% of all mobile ad fraud affects Android. Also, Android devices have higher levels of hardware fraud than iOS devices ( )—they are easier to emulate and have an open-source architecture that makes it easier for fraudsters to generate fake traffic. 37% vs 24% When it comes to the iOS advertising ecosystem, fraudsters find it attractive for different reasons, particularly due to the higher CPM (cost per thousand) rates compared to Android devices. iOS devices actually have a greater share of post-install fraud than Android devices— . The loss of user IDs on iOS can also lead to a rapid increase in fraudulent activity in mobile applications. 55% compared to 34% Non-Gaming Apps vs Mobile Games It appears that non-gaming apps are particularly vulnerable to fraudsters, with financial, travel, and shopping apps being the most targeted. Fraud in non-gaming apps is often carried out by bots, which go unnoticed and target less visible elements of apps and user engagement. In contrast, gaming apps appear to be more immune to fraud, with only 3.8% of game downloads being fake, . This might be because mobile games typically use the CPA (pay-per-action) model for advertising. Yet, click spam and attribution hijacking can still be an issue in gaming apps. according to AppsFlyer CTVs Connected TV ad fraud has emerged alongside the growing popularity of streaming services. One common type of fraud is spoofing, where scammers copy real audiences watching ads on CTV devices. They use techniques like IP, device, SDK, and Server-Side Ad Insertion (SSAI) spoofing to steal ad revenue. According to , the global CTV ad fraud rate rose from 14% in Q2 2021 to 19% in Q2 2022. To combat CTV ad fraud and improve their return on ad spend, advertisers must focus on precise audience targeting, which can help them detect fraudulent activity. Pixalate's research Preventing Ad Fraud Machine Learning in Antifraud Systems Machine learning, with the ability to analyze enormous datasets in real time, is changing the game when it comes to preventing app fraud. One of its key applications is anomaly detection, which means identifying unusual or suspicious activities in an ad campaign. If you train the algorithm over historical ad data, the system will establish a baseline of normal behavior and then spot deviations from this norm. For example, if there's a sudden spike in click-through rates or a disproportionate number of ad impressions from specific geographic locations, it can be flagged as potential fraud. Even more impressively, these advanced algorithms can recognize more subtle forms of fraud, such as click farms and bot traffic, which can easily go unnoticed if traditional detection methods are used. To make anti-fraud systems even more powerful, companies can use a mix of supervised and unsupervised learning techniques. Supervised learning involves teaching the algorithm using labeled data, where fraud instances are explicitly identified, helping the model recognize similar patterns in the future. SML-based systems demostrate good results at detecting already known types of fraud. On the other hand, unsupervised learning doesn't need labeled data; the algorithm autonomously identifies clusters or patterns in the dataset. Such algorithms are more adept at identifying new types of fraud. By combining these two methods, organizations can build resilient and comprehensive anti-fraud tools. Impression Tracking Merely relying on validation methods to ensure that the ad impression is genuine may not always be sufficient—fraudsters can manipulate the system by selectively removing validation pixels from fake impressions while retaining the advertiser's pixels. This is why it's crucial to compare your ad impressions against third-party validator stats and analytics. Also, it's important to use a unique validation pixel for every impression. Some may choose to check every second or third impression to save the budget on monthly limits, but scammers can detect and mimic this frequency, rendering it ineffective. Here's a real-life example that shows how crucial it is to remain vigilant when combatting fraud. I personally know a team that works closely with validators to keep track of discrepancies in ad impressions. When they changed the validation frequency from every second impression to every impression, they noticed a significant surge in invalid traffic coming from a particular publisher, indicating that the previous frequency was intercepted by scammers. Blocking Multiple Requests Rate limiting is an extremely effective way to mitigate bot activity. Essentially this strategy involves monitoring the number of requests and blocking duplicate ones. First, the system tracks the IP address and time between individual requests, which helps to identify the source of a request and restricts processing when a specific IP generates an excessive number of requests within a given time frame. This technique helps prevent DoS and DDoS attacks, web scraping, and botnets. It also reduces the load on web servers and prevents API overuse. Blocklists Another way to combat fraud in advertising is by creating blocklists of vendors and platforms known for spreading fraud. Implementing these lists effectively stops fraudulent traffic from entering the system. Many systems maintain internal blocklists that are updated frequently; also, developers often rely on third-party data. They check databases for parameters such as IP addresses, device information, application IDs, domains, and potentially harmful applications. Real-Time Bidding Real-time bidding allows advertisers to bid on individual ad impressions in real time, ensuring their ads are served to the most relevant users. This increased control minimizes the chances of their ads being displayed on fraudulent websites or being viewed by non-human traffic, e.g. bots. Furthermore, RTB platforms often incorporate advanced security measures and fraud detection tools that help identify and block malicious activities. They constantly monitor and analyze bid requests, capable of promptly detecting patterns indicative of ad fraud, such as abnormal click-through rates or unusual traffic sources. This makes it more difficult for fraudsters to exploit the system. Conclusion The economic impact of fraudulent advertising is staggering. A few years ago pointed out that damages due to ad fraud and spending on bot traffic were expected to rise from $35 billion to $100 billion between 2018 and 2023, reaching over $80 billion in 2022. More recently, the Association of National Advertisers (ANA) reported that the cost of ad fraud has reached an astounding $120 billion annually—the number has already topped Statista’s grim forecast. Advertisers in the United States suffer the most significant financial losses, amounting to $23 billion.__ __Research by indicates that 24% of traffic is generated by bots used for scams and theft. found that 31% of iOS app installs and 25% of Android app installs are fake, while TrafficGuard and Juniper concluded that one in every 13 app installations worldwide is fraudulent. Statista Juniper Interceptd This 2022 data highlights how important it is for businesses and marketing teams to timely detect advertising fraud. Otherwise, they risk spending budgets on bots and fake traffic instead of potential customers. We also need to keep in mind that since programmatic advertising is developing rapidly, effective detection processes for fraudulent traffic may take time to catch up. Let's recap the strategies advertisers can use to combat fraud: Use systems powered by a combination of supervised and unsupervised ML. Install advanced analytics and traffic inspection tools to get more data for attribution analysis. Cross-reference data from different sources, e.g. verify proprietary data against that of third-party validators. Implement rigorous screening processes using blocklists of fraudulent and suspicious traffic, regularly updating and cross-referencing these lists with third-party vendors. Employ impression tracking and filters to ensure the safety of advertising traffic. Sources BotFAQtor Blog, 3 Reasons to Protect Your Ad Campaign from Fraud in 2023, https://botfaqtor.ru/blog/3-dovoda-v-polzu-zashchity-reklamy-ot-onlayn-moshennichestva-v-2023-godu/ VC.ru, Top 10 Tools to Combat Click Fraud by Maksim Kulgin, https://vc.ru/services/617098-top-10-servisov-pomogayushchih-borotsya-so-sklikivaniem-v-reklame Admon.ai for VC.ru, Everything You Wanted to Know about Web and Mobile Ad Fraud But Didn’t Dare to Ask, https://vc.ru/marketing/446864-moshennichestvo-v-onlayn-reklame-vse-chto-vy-hoteli-znat-o-frode-v-vebe-i-mobayle-no-boyalis-sprosit VC.ru, How to Recognize Ad Fraud, https://vc.ru/promo/467877-fraud-online OneSpan Blog, Preventing Fraud, https://www.onespan.com/ru/topics/predotvrasenie-mosennicestva My Tracker Blog, The Ultimate Guide to Identifying and Preventing Mobile Ad Fraud by Ivan Mazharov, https://tracker.my.com/blog/216/the-ultimate-guide-to-identifying-and-preventing-mobile-ad-fraud?lang=en#:\~:text=SDK Spoofing,or%2C potentially%2C engagement signals VC.ru, A Guide to Preventing Ad Fraud: How to Run Secure Advertising Campaigns?  by Yaroslav Kholod, https://vc.ru/marketing/159440-gayd-po-borbe-s-reklamnym-frodom-kak-obezopasit-kampanii-ot-moshennichestva PWC, PwC’s Global Economic Crime and Fraud Survey 2022, https://www.pwc.com/gx/en/services/forensics/economic-crime-survey.html Apple Developer Support Articles, User Privacy and Data Use, https://developer.apple.com/app-store/user-privacy-and-data-use/ Business of Apps, Ad Fraud Statistics (2023) by Artyom Dogtiev, https://www.businessofapps.com/ads/ad-fraud/research/ad-fraud-statistics/

Ad Fraud Prevention: How to Protect Your Online Advertising Budget

Bradley Want is the VP of Growth at Kuda, a fintech company currently operating in Nigeria and expanding to other countries. It has garnered over 3 million customers worldwide and is valued at $500 million as of August 2021. In this video, they discuss what growth hacking for such a successful company looks like, and the various areas that matter. Bradley gives useful information about the diverse areas of mobile company growth, and shares his experience working at Kuda, growth stacks and channels, team structure, and more! To learn more about Kuda, check out their website and download the Kuda app: https://www.kuda.com/ Watch here https://youtu.be/eUnEdvubByE?embedable=true Video TimeStamps 0:00 - Introduction to AppsFlyer 1:41 - Bradley Want, VP of Growth at Kuda 2:02 - Bradley’s Background, Affiliate Networking at Trade Doubler 3:30 - Getting Headhunted by Apple 4:18 - Head of Sales at AppsFlyer 5:48 - Joining Kuda 7:01 - First three months being VP of Growth 8:22 - What Growth looks like at Kuda 9:56 - Biggest Achievement so Far 11:05 - Biggest Challenge 11:59 - Growth Stacks: What Kuda’s Growth Stack Looks Like 14:09 - Things that have Changed in the Last Year 16:06 - How he Searches for New Channels 17:33 - Best practices for mobile management 18:26 - Expanding Kuda across Continents 19:00 - How to Become a VP of Growth 20:06 - Top Three Tools on Appsflyer 21:10 - What he would do differently, Product vs Marketing 23:37 - How Regulation Impacts Kuda 24:42 - How mobile internet communities have changed the way we do business 25:45 - The Kuda Growth Team structure 27:42 - Biggest Lesson leading growth for a Fintech startup in Africa 30:28 - Advise to Anyone that becomes VP of Growth

How Kuda Bank Grew From Zero to Millions of Users

As an in-app subscription analytics tool, was born with a mission to help App developers grow their in-app subscription revenue. After launching the Beta version in April, we now want to work with more App developers to test our product and make sure it is of great value to grow their subscription revenue. Appflow.ai Program Overview Our Beta Program offers Beta users a During this period, beta users can track their in-app subscription revenue, automate analytics, do paywall A/B testing, and push notifications to their users for free. While at the same time, beta users are expected to provide feedback on fixes and improvements. free trial of our Ultimate Plan for 12 months. Benefits of Appflow.ai Beta Program **==12 months of free trial of our Ultimate Plan, with all features available in Appflow.ai, ==**including: to show you up-to-date subscription metrics, like MRR, LTV, and Top SKUs by revenue… Subscription Analytics to help you understand your user behaviors and demographics; App Cohort Analysis for pricing & paywall design with flexible user segmentation; A/B Testing on push notification and paywalls; Remote Configuration with third-party attribution & mobile analytics tools (Adjust, Webhooks…); Integrations Revenue Growth Suggestions Funnel Analysis Besides, you could get early access to upcoming advanced features and have an opportunity to work with our development team and deliver a perfect subscription analytics tool. Who are We Looking for? If you have a subscription-based iOS or Android App; If you will use our product for your business and provide your feedback on bugs or improvements; If you would like to schedule a call with our team every 3 months about your user experience, it would be great! How to Join the Program? 👉👉 to sign up as our Beta users. Click here The Story of Appflow.ai Appflow.ai was born in April 2022, with a mission to help App developers grow their in-app subscription revenue. It was developed by a global team with professional experience and knowledge about App monetization. Before developing Appflow.ai, our team had 6-years of experience in in-app advertising and helped a lot of developers grow their revenue for App monetization. From our experience as mobile developers, we noticed the need to have one place where we could analyze data from user acquisition to subscriptions and this leads us to the start of appflow.ai. So, What Exactly Can Appflow.ai Do? Appflow.ai is an in-app subscription analytic tool that can help you gain a big picture and insight into your app and grow your in-app subscription revenue. Here are the major functionalities of Appflow.ai: 1. Show real-time in-app subscription data Appflow.ai seamlessly retrieves all real-time subscription data from your Android and iOS Apps, from trials, installs, payments to refunds. Without the effort of switching back and forth between different platforms and normalizing data manually, users can funnel their users to have an intuitive picture of their app subscription performance on one interface on Dashboard or Analytics where they get to understand their users and take effective actions to improve their app’s ROI. 2. Test out the best paywall and push notification with no code needed Appflow.ai facilitates users to do on paywalls and push notifications with remote configuration with no code needed, saving time and reducing reliance on engineers. Just a few clicks can help you make the decision on which version of paywalls and notifications you should choose. What’s more, appflow.ai also supports integrating different platforms, such as , , , , etc. to help you understand users’ behavior and connect directly with them. A/B testing AppsFlyer Facebook Adjust Apple search ads 3. Provide reliable and realistic improvement suggestions （upcoming） Appflow.ai free its users from data jungles by offering actionable suggestions from machine learning of all the presented data. Get used of these marketing suggestions and take immediate action to attract more people to sign up, encourage users to subscribe, prevent users from unsubscription and reduce the churn rate. Following are some Suggestion Examples: example1: Your churn rate from the trial period is incredibly high. You lost 2345 clients in the last 30 days. Change your trial period terms. example2: Your LTV was the best in March 2022, check the history of your features. How did it happen? Check out our tips to grow your LTV. Join us. ! Let’s grow together

We are Looking for 100 Beta Users for Subscription Analytics

Apple silicon processors are a revolution in the world of desktop CPUs. The was quite smooth for the consumers, thanks to the , which allows translation of x86_64 commands to arm64 without a significant loss in performance. The developers, however, also needed to rely on the emulation because when the new architecture was first released at the end of 2020, most developer tools and libraries didn't support arm64 architecture. And that could result in either unstable performance or crashes in some cases. transition from Intel's x86_64 architecture to Apple's arm64 Rosetta 2 emulator Now that the new Apple silicon chips have been around for almost two years, things have changed. It is the best time to look into migrating your project for the architecture if you have not done so already. Compared to last year or the end of 2020, most dependencies and tools now support the new architecture, so you won’t face any major hurdles in the transition during the migration process. arm64 In addition, we can’t help but mention that your favorite CI/CD provider Codemagic has released the first Mac mini M1 build machines to the public! Some of our customers have already tried the powerful build machines with the new efficient chips and are getting much faster build times. So, let’s discuss : migrating the CI/CD pipeline for your project from the good old x86_64 to the shiny new arm64. Intel-to-M1 migration This article covers the following topics: Requirements Working with the new architecture Updating third-party dependencies Build times for Mac mini M1 and Mac Pro So let’s get started! Requirements for migrating to M1 At the time of writing, to migrate your workflows to the new Apple M1 virtual machine on Codemagic, you must use because the base image of the macOS M1 build machine has it preinstalled. Xcode 13.3.1 (13E500a) is the latest version and is used by default when you set , , , or in your file or select it in the build settings in the Workflow Editor for Flutter apps. Xcode 13.3+ 13.3 13.3.1 edge latest codemagic.yaml When Apple announced its custom silicon in 2020, it began a two-year transition to the new architecture. Developers could take advantage of the Developer Transition Kit (DTK) to test, update, and transition their apps to the Apple silicon. In the beginning, developers used Rosetta emulation to use apps built for a Mac with an Intel processor. Many CocoaPods dependencies and Swift packages were incompatible with the architecture in the initial months. As the developers started transitioning and getting the latest M1 and M1 Pro/Max/Ultra series devices, they requested open-source projects and different SDKs to support the architecture. arm64 arm64 Now that we are almost at the end of the transition, numerous popular open-source projects, like Alamofire, Kingfisher, or the Firebase SDK, have added support for the Apple silicon machines. Now, you no longer need to use Rosetta emulation in the majority of cases and can take advantage of the raw processing power of Apple’s efficient chips. Working with the New Architecture While the architecture of the iPhone is already , Intel used simulators. With the new M1 series devices, the simulators also run on the architecture. arm64 x86_64 arm64 Apple has provided a for resolving architecture build errors on Apple Silicon detailed article Xcode already provides the default architecture build settings that help you build and ship on all the platforms. One of the settings is ,  a boolean value with the default value as for Debug and for Release configurations. Xcode automatically builds for the selected architecture if the value is set to . So, if you are using an Apple Silicon machine, it builds for the simulator, and if you are working with an Intel machine, it builds for the simulator. Build Active Architectures Only Yes No Yes arm64 x86_64 While your device and simulator may have different architectures, especially when using an Intel machine, you only want Xcode to build for one or the other. Go to your project, select your target, and select . Under the section, set to for debug builds. This ensures that the compiler generates the binary for only one architecture. Build Settings Architectures Build Active Architecture Only YES Do the same for the Pods as well: If you set it to , Xcode will build the project for all the valid architectures. However, you may see an error that looks something like this: NO Could not find module 'ColorKit' for target 'x86_64-apple-ios-simulator'; found: 
arm64-apple-ios-simulator, at: /Users/rudrankriyam/Library/Developer/Xcode/DerivedData/Musadora-ccjzyuildzfnokedenrcjqixspxo/Build/Products/Debug-iphonesimulator/ColorKit.swiftmodule Setting in Xcode to also reduces the build time drastically, as you are compiling for one architecture instead of two. This is a win-win situation for you! Build Active Architecture YES Updating third-party dependencies Your project may use CocoaPods, Carthage, and/or Swift Package Manager to manage third-party dependencies. It’s simple to manage CocoaPods if you use Homebrew on an M1 Mac: brew install cocoapods If you use Carthage, the best solution is to use . This helps to build only the valid architectures that you need to build the app: XCFrameworks carthage update --use-xcframeworks You might need to update your pods or packages to the latest version. This increases the likelihood of getting support for a universal binary (which contains executable code for both x86_64 and arm64 architectures) so that you can easily migrate from an Intel machine to an Apple silicon machine without any hiccups. In this post, we use a with a combination of third-party dependencies. We use both CocoaPods and Swift Package Manager. sample project The project’s dependencies as Swift packages are: Kingfisher Swinject Alamofire The project’s dependencies as Pods are: SwiftLint AppsFlyerFramework The initial project has an old version of a framework to showcase the error that occurs when an XCFramework does not support the architecture. arm64 pod 'AppsFlyerFramework', '6.2.0' We can’t build a universal binary ourselves, as we don’t have the source code. If you run the project, you get an error similar to the following: ld: in /Users/rudrankriyam/Downloads/Silicon/Pods/AppsFlyerFramework/iOS/AppsFlyerLib.framework/AppsFlyerLib(AFSDKKeychainFactory.o), 
building for iOS Simulator, but linking in object file built for iOS, 
file '/Users/rudrankriyam/Downloads/Silicon/Pods/AppsFlyerFramework/iOS/AppsFlyerLib.framework/AppsFlyerLib' 
for architecture arm64 You need the architecture to run the project in the simulator. But this version of the framework doesn’t support it. arm64 To fix this issue, search the framework’s repository and check if they have released a version that adds support for . As mentioned earlier, many priority frameworks and open-source projects have provided support for running on the latest silicon chips. Fortunately, support was added for this framework in version , and we can update the to fetch the latest version. arm64 arm64 6.3.0 Podfile pod 'AppsFlyerFramework' After you enter the command , you can run the project successfully on M1 devices and Intel machines. pod update If some dependency does not yet support arm64, you can ask the framework’s author to provide a newer updated version that supports both architectures. Taking the previous example of an iOS SDK that transitioned to support by providing a universal XCFramework, AppsFlyer iOS SDK released support in April of last year after developers requested it. arm64 arm64 Despite many dependencies providing quick support, the framework you are using may be outdated. It may also be a proprietary framework that doesn’t give you access to the source code. Suppose you don’t see any updates for these frameworks/packages in the foreseeable future. In that case, you can have a look at this article on . As the name suggests, it’s a hack to get things working, and we only recommend using this extreme workaround as a last resort. “Hacking native ARM64 binaries to run on the iOS Simulator” Build times for M1 Mac mini and Intel Mac Pro You can take inspiration from open-source projects that have been successfully migrated and work on the new chips. Take a look at a few examples of such projects . here To understand the build time differences between the M1 and Intel machines and get a better idea of the superior efficiency and speed of M1 Mac minis, we have built and run tests on the official app. This demonstrates a real-world scenario with hundreds of tests. It’s an open-source app that you can explore yourself. Wikipedia iOS Test name Mac mini M1 Mac Pro Installing scripts 17s 163s Building project 254s 280s Running tests 270s 395s Overall 573s 883s You can see the differences in the numbers, especially while running tests — they run substantially faster on the M1 build machines. After running the same tests for this app multiple times, we see a decrease of in overall build times. The gap between the numbers adds up when running many builds and saves considerable time for a faster iteration process. significant 35–40% Conclusion Apple silicon chips are the future of the Mac hardware, and it only gets better from here on out. Popular open-source frameworks and SDKs already support the new chips, so the transition is much easier than it was a year ago. Reminder: M1 Mac mini build machines are already available on Codemagic. If you’re on the pay-as-you-go plan, just use to try them out. If you’re on the Professional plan and want to set up a trial for the Mac mini M1, reach out to our customer engineering team to help you get fast green builds on the new machines! instance_type: mac_mini_m1 Sign up to try out Mac mini M1 build machines Also posted on and written by Rudrank Riyam. Codemagic blog

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