[{"_id":"project-settings","settings":{"translateMetaTags":true,"translateAriaLabels":false,"translateTitle":true,"showWidget":true,"isFeedbackEnabled":false,"customWidget":{"theme":"custom","font":"rgb(255,255,255)","header":"rgb(0,0,0)","background":"rgba(0,0,0,0.8)","position":"right","positionVertical":"bottom","border":"rgb(204,204,204)","borderRequired":false,"widgetCompact":true,"isWidgetPositionRelative":false},"widgetLanguages":[],"activeLanguages":{"ko":"한국어","zh":"中文(简体)","es":"Español","de":"Deutsch","ja":"日本語","ru":"Русский","en":"English"},"enabledLanguages":["de","en","es","ja","ko","ru","zh"],"debugInfo":false,"displayBranding":false,"displayBrandingName":false,"localizeImages":false,"localizeUrls":false,"localizeImagesLimit":false,"localizeUrlsLimit":true,"localizeAudio":false,"localizeAudioLimit":false,"localizeDates":false,"disabledPages":[],"regexPhrases":[],"allowComplexCssSelectors":false,"blockedClasses":false,"blockedIds":false,"phraseDetection":true,"customDomainSettings":[],"seoSetting":[],"translateSource":false,"overage":false,"detectPhraseFromAllLanguage":false,"googleAnalytics":false,"mixpanel":false,"heap":false,"disableDateLocalization":false,"ignoreCurrencyInTranslation":false,"blockedComplexSelectors":[]},"version":47022},{"_id":"en","source":"en","pluralFn":"return n != 1 ? 1 : 0;","pluralForm":2,"dictionary":{},"version":47022},{"_id":"outdated","outdated":{"#Use limited data to select advertising (115 partners)":1,"#НЕ вводите свой номер телефона.":1,"#마케터는 Kochava Analytics의 깔때기 보기를 사용하여 특별 제안을 통해 해당 사용자를 분류하고 타겟팅하여 결제를 완료하도록 유도할 수 있습니다.":1,"#사용자가 제품을 검색하고 본 다음 장바구니에 추가하고 결제를 시작하지만 결제를 완료하지 않는다고 가정합니다.":1,"#It’s important to track low, mid- and high-funnel events to provide identifiable drop-off points that can offer ideal opportunities for reengagement.":1,"#타사 활성화 외에도 푸시 알림 플랫폼을 사용하여 푸시 알림 캠페인과의 재참여를 시작할 수 있습니다.":1,"#즉, 이상적인 재참여 지점과 전술을 찾으면 전체 재참여 프로세스를 자동화할 수 있습니다.":1,"#코차바 애널리틱스 또는 쿼리에서 오디언스 세분화 기준이 정의되면 오디언스는 캠페인 활성화를 위해 광고 파트너에게 일회성 또는 반복적으로 전달할 수 있도록 저장할 수 있습니다.":1,"#브랜드 마케터는 높은 정확도의 평점을 통해 이탈 가능성이 높은 사용자를 선제적으로 세분화하고 타겟팅하여 앱을 삭제하지 않도록 할 수 있습니다.":1,"#코차바는 또한 머신 러닝을 사용하여 설치 후 사용자 참여도를 분석하고 이탈 확률에 가중치를 부여하는<a ljsid-1=\"\"> 예측 행동 모델링</a>을 제공합니다.":1,"#이탈 및 제거가 예상되는 고급 오디언스":1,"#저희 고객 성공 관리자는 쿼리를 통해 완벽한 오디언스 스크립트를 맞춤 설정할 수 있도록 도와드립니다.":1,"#시작하는 방법에 대한 자세한 내용은 <a ljsid-1=\"\">https://www.kochava.com/audience-segmentation-syndication</a> 을 참조하십시오.":1,"#Kochava는 마케터에게 가장 효율적인 데이터 솔루션을 제공하고 지속 가능한 성장을 주도하는 재참여 프로세스를 단순화하기 위해 노력하고 있습니다.":1,"#등록 완료":1,"#결제 완료":1,"#체크아웃 시작":1,"#장바구니에 넣기":1,"#제품 보기":1,"#제품 검색":1,"#SQL 프로가 아닌가요?":1,"#예를 들어, 전자상거래 앱은 다음을 측정해야 합니다:":1,"#재참여할 수 있는 이상적인 기회를 제공할 수 있는 식별 가능한 드롭오프 포인트를 제공하기 위해 로우, 미드, 하이 퍼널 이벤트를 추적하는 것이 중요합니다.":1,"#브랜드는 코차바를 사용하여 앱 설치뿐만 아니라 참여 퍼널 전반에 걸친 인앱 이벤트도 측정할 수 있습니다.":1,"#분석에서 청중을 쉽게 세분화":1,"#시간이 지남에 따라 기존 사용자의 재참여는 신규 사용자 확보보다 더 나은 투자 수익률(ROI)을 제공합니다.":1,"#알려진 사용자를 타겟팅하는 것이 더 비용 효율적이고 사기성이 적은 경향이 있으며, 동시에 사용자 유지를 강화하고 평생 가치(LTV)를 높이는 데 도움이 됩니다.":1,"#사용자 획득 캠페인이 브랜드 인지도와 새로운 도달의 씨앗을 뿌리는 동안, 재참여 캠페인은 브랜드를 알고 있는 사용자에게 다시 불을 붙이고 행동에 대한 인센티브를 제공할 수 있습니다.":1,"#기존 사용자의 잠재력을 활용하고 있습니까?":1,"#동적 오디언스 세분화를 통해 기존 사용자의 성장을 촉진합니다":1,"#코차바 관객과의 재참여가 쉬워졌습니다":1,"#측정 및 귀속 데이터를 슬라이스할 수 있을 뿐만 아니라 고객 관계 관리(CRM) 또는 판매 시점(POS) 시스템의 오프라인 데이터를 온보드하여 다른 데이터 소스의 풍부한 인사이트를 기반으로 세그먼트를 정의할 수도 있습니다.":1,"#코차바 오디언스는 내장된 SQL 프롬프트 인터페이스인<a ljsid-1=\"\"> 쿼리</a>를 통해 데이터가 풍부한 세분화를 제공함으로써 시장에 나와 있는 다른 어떤 오디언스 빌더보다 더 많은 유연성을 제공합니다.":1,"#캡 귀속":1,"#网络电视":1,"#互联网家庭":1,"#“科恰瓦已经开始为我们提供大量物资帮助-":1,"#致":1,"#您真理的唯一来源":1,"#网络应用之旅":1,"#高级付费新闻":1,"#出版商意见":1,"#国家和地区平台":1,"#请求":1,"#有线电视":1,"#游戏机":1,"#离线（户外、户外、CPG等）":1,"#数字户外（DOOH）":1,"#在所有合作伙伴中，从独立、公正的归因中，真正":1,"#现在下载":1,"#利用多点触控归因":1,"#推送通知":1,"#户外（OOH）":1,"#消除仪表板跳跃并坚持一次登录。使用Kochava 查看整个媒体组合的全渠道营销活动衡量绩效。":1,"#4,500+ 集成":1,"#推荐人":1,"#拥有的频道":1,"#不让任何媒体资金落下。每个接触点都很重要。我们可以帮助您确定哪些是最重要的。":1,"#Kochava荣获42matters SDK归因类别领导者称号":1,"#超级出版商（Facebook、Google、Twitter、Snapchat等）":1,"#将所有成本数据保存在一个地方可以让您获得最准确的ROAS方程式并优化您的营销活动。":1,"#将您的全渠道媒体支出整合到一个仪表板中，以便清楚地了解您的活动绩效。":1,"#Kochava成本":1,"#想了解更多关于归因如何运作的信息吗？":1,"#用Kochava 测量一切":1,"#利用超过4,500个集成":1,"#获取以数据为依据的见解，以了解在社交和程序化数字广告渠道外运行的广告系列的真正影响。":1,"#会员关系":1,"#文本/短信":1,"#SDK与S2S集成":1,"#交叉促销":1,"#你知道你的营销目标。我们知道归因。让我们一起成功。":1,"#先进的通道测量":1,"#见案例研究":1,"#MMM合作伙伴名录":1,"#抖音将Kochava列入":1,"#优质音频":1,"#联网电视":1,"#户外广告":1,"#出版商见解":1,"#。我们期待Kochava提供许多功能，以改善我们的保留和个性化。”":1,"#“科恰瓦已经开始为我们的归因提供大量帮助-":1,"#联网家庭":1,"#进阶伙伴关系":1,"#您的单一真理来源":1,"#名字：":1,"#竞选测量 - Kochava":1,"#高级高级电视":1,"#Starting June 17, advertisers are able to sign AMM terms with Meta that enable Kochava to pass this last-touch information back to advertisers in non-aggregated form, as long as the terms with Meta are accepted (you can sign the terms at <a ljsid-1=\"\">this link</a>). The Kochava engineering team is fast-tracking product and integration updates to surface this new row-level Meta data within Kochava reporting and analytics. Please be on the lookout for forthcoming communications regarding availability dates for this new data. To ensure that you don’t miss any updates, <a ljsid-3=\"\">订阅我们的新闻</a>.":1,"#Starting June 17, advertisers are able to sign AMM terms with Meta that enable Kochava to pass this last-touch information back to advertisers in non-aggregated form, as long as the terms with Meta are accepted (you can sign the terms at <a ljsid-1=\"\">this link</a>). The Kochava engineering team is fast-tracking product and integration updates to surface this new row-level Meta data within Kochava reporting and analytics. Please be on the lookout for forthcoming communications regarding availability dates for this new data. To ensure that you don’t miss any updates, <a ljsid-3=\"\">subscribe to our newsletter</a>.":1,"#For more technical background or specific case studies, visit <a ljsid-1=\"\">kochava.com/foundry/</a> or email <a ljsid-3=\"\">foundry@kochava.com</a>.":1,"#These could all be <strong ljsid-1=\"\">red flags</strong>—especially if you’re running campaigns with premium, owned & operated network placements.":1,"#Don’t ignore it!":1,"#こちらのリンク":1,"#<strong ljsid-0=\"\">Suspicious install timing:</strong> These installs tend to occur in tightly packed, sequential clusters, with timing and fingerprint patterns never exhibited in organic user behavior.":1,"#<strong ljsid-0=\"\">Zombie installs:</strong> Most fraudulent installs skip critical steps like registering or even opening the app, a step real users routinely take but bots avoid.":1,"#<strong ljsid-0=\"\">Constrained device signals:</strong> Fraudulent installs often report unusual consistency in device parameters, such as identical battery level, screen brightness, and device volume. Real user devices naturally produce diverse data, whereas VMs operate in bulk with rigid, non-random settings.":1,"#Kochava’s team uncovered that these VMs create app install traffic that on the surface appears legitimate. However, when examined with high-resolution data, telltale patterns emerge. Here are some illustrative highlights (albeit not comprehensive):":1,"#Unlike garden-variety click farms, Monolith Fraud utilizes virtual machines (VMs) that meticulously mimic real devices. These VMs are programmed to emulate authentic install behaviors: downloading apps, opening them, and even faking app usage patterns. What sets them apart? Their attempts at sophistication—but also the shortcuts fraudsters take that expose their schemes.":1,"#<strong ljsid-0=\"\">Don’t ignore it!</strong><br ljsid-1=\"\"> These could all be <strong ljsid-3=\"\">red flags</strong>—especially if you’re running campaigns with premium, owned & operated network placements.":1,"#Unlike garden-variety click farms, Monolith Fraud utilizes virtual machines (VMs) that meticulously mimic real devices. These VMs are programmed to emulate":1,"#How the Monolith Scam Works: Real Device, Fake User":1,"#For more technical background or specific case studies, visit <a ljsid-1=\"\">kochava.com/foundry/</a> またはメール <a ljsid-3=\"\">foundry@kochava.com</a>.":1,"#Ensure that your app campaigns are truly as safe—and effective—as they should be":1,"#Deploy new defenses to stop Monolith Fraud in its tracks":1,"#Recover lost spend through publisher negotiations":1,"#Investigate and quantify potential Monolith Fraud":1,"#We’re ready to help you":1,"#<strong ljsid-0=\"\">Don’t wait for the losses to snowball</strong>. If you suspect your campaigns may be the next target—or simply want confidence that your spend is protected—<a ljsid-2=\"\">reach out to Kochava today</a>.":1,"#Unusual device parameter consistency or rapid-fire installs":1,"#Lower engagement and registration rates":1,"#Unexplained dips in retention":1,"#If you’re observing":1,"#Monolith Fraud is not a rare anomaly. It’s a growing, silent epidemic.":1,"#What to Look For (and What to Do)":1,"#No other MMP offers comparable historical depth or real-time forensics, which is why this threat remained invisible to the rest of the industry.":1,"#Deviations in standard user engagement metrics (e.g., mobile number registration, post-install activity)":1,"#Unnatural distributions of install data":1,"#Sequential installs with clone-like device fingerprints":1,"#Our proprietary modeling capabilities surfaced":1,"#Kochava is the <strong ljsid-1=\"\">first and only mobile measurement partner (MMP)</strong> to bring this Monolith Fraud to light. Why? Kochava’s unique data collection and retention strategy: Instead of discarding “redundant” event and install data—as many other MMPs do to save on data storage costs—Kochava stores granular device signals, event timings, and user engagement data. This enables us to dive in and explore subtle anomalies that other solutions overlook. Compounding the matter is the fact that walled-garden super publishers don’t share all impression and click signal data—only the records for one-to-one conversion claims. This lack of holistic data stifles fraud prevention methodologies that observe anomalous ad signal indicators.":1,"#Why Only Kochava Caught This: The Power of Data Resolution":1,"#The mobile advertising landscape has long prized both performance and trust. Recent findings, however, reveal a major trust breach—one hiding in plain sight, veiled within sources considered the safest in the business. Today, we pull back the curtain on what I’m coining Monolith Fraud, a sophisticated operation siphoning millions from app install campaigns across the industry.":1,"#This is not theoretical—it’s real money, draining from marketing budgets with every passing day.":1,"#For others, routine fraud rates between <strong ljsid-1=\"\">11–34%</strong> have been observed.":1,"#For one major brand, the <strong ljsid-1=\"\">reasonable estimate</strong> of fraudulent activity reached nearly <strong ljsid-3=\"\">68%</strong>.":1,"#Top-line summary from Kochava’s platform-wide audit:":1,"#On a cohort of impacted brands, Monolith Fraud consumed as much as <strong ljsid-1=\"\">22% to 55%</strong> of total app install spend. For some leading brands, in the worst cases, <strong ljsid-3=\"\">more than a third of ad budget was routed to fraudulent installs</strong>.":1,"#For brands and developers, the cost is staggering.":1,"#The Financial Toll: Up to 55% of Budgets at Risk":1,"#These platforms have long been the gold standard for transparency and authenticity. Now, however, fraudsters are adapting—exploiting even these upper-echelon traffic sources. This signals that the safety net the industry has relied upon for years may no longer exist.":1,"#What makes Monolith Fraud particularly alarming is its origin. Rather than coming from suspect ad networks or relatively unknown partners, this fraud is emanating from within the publishers and sub-publishers inventory network of a major, self-attributing, owned & operated super publisher. In other words, a source the entire industry is conditioned to trust.":1,"#Fraud From the Unlikeliest Source":1,"#The looming threat in your mobile app install campaigns":1,"#After AMM was discontinued in 2021, Kochava was able to share this last-touch information with shared clients (advertisers) only in aggregated form.":1,"#As part of Meta’s Mobile Measurement Partner program, Kochava receives last-touch information associated with a conversion claimed by Meta.":1,"#AMM Re-Enabled: What You Need to Know":1,"#If you’re interested in signing Meta’s Advanced Mobile Measurement Terms, you can do so at <a ljsid-1=\"\">this link</a>.":1,"#AMM enables MMPs to share attributed last-touch information in non-aggregated form with advertisers who sign Meta’s AMM terms. This update enables app advertisers to measure ad performance more precisely within their own analytics and business intelligence tools, with the inclusion of attributed Meta ads data in their respective MMPs’ row-level reporting.":1,"#Kochava is integrating with Meta’s Advanced Mobile Measurement (AMM) reporting, which was re-enabled on June 17. The feature was discontinued in 2021 and has been re-enabled to help advertisers that leverage Kochava, or other approved mobile measurement partners (MMPs), measure and optimize their advertising spend on Meta.":1,"#Meta AMM re-enabled as of June 17":1,"#Kochava is integrating with Meta's Advanced Mobile Measurement (AMM) reporting, which was re-enabled on June 17.":1,"#If you have questions about this update, please contact your Meta Ads account representative, reach out to your Kochava Client Success Manager, or email <a ljsid-1=\"\">support@kochava.com</a>.":1,"#Multi-touch attribution (MTA) modeling":1,"#Measurement data modeling":1,"#User-level last-touch attribution insights":1,"#Meta advertisers can utilize the enhanced data granularity afforded through AMM reporting for a variety of use cases, including:":1,"#Leveraging More Granular Insights via AMM":1,"#Please note that this change does not impact the data Kochava receives from Meta as part of our partnership. No change is expected in app campaign performance. The only change is that by signing Meta’s AMM terms, you now have access to non-aggregated attributed Meta ads data for measurement.":1,"#Only app administrators are able to modify app roles. For more information on how to manage roles for an app, see <a ljsid-1=\"\">this article</a>.":1,"#In order to access and accept the Advanced Mobile Measurement Terms, the Administrator role for an app is required. For more information on app roles, see <a ljsid-1=\"\">this dev doc</a>.":1,"#Starting June 17, advertisers are able to sign AMM terms with Meta that enable Kochava to pass this last-touch information back to advertisers in non-aggregated form, as long as the terms with Meta are accepted (you can sign the terms at <a ljsid-1=\"\">this link</a>). The Kochava engineering team is fast-tracking product and integration updates to surface this new row-level Meta data within Kochava reporting and analytics. Please be on the lookout for forthcoming communications regarding availability dates for this new data. To ensure that you don’t miss any updates, <a ljsid-3=\"\">ニュースレターを購読してください。</a>.":1,"#Through the combined use of the Kochava <a ljsid-1=\"\">웹 SDK</a> 과 <a ljsid-3=\"\">아이덴티티링크®</a>, measure users as they travel from the web to connected devices, and use this data to target them more efficiently in a reengagement campaign.":1,"#You can determine which KPIs to evaluate, the specific time frame of installs, and when the post-install events occurred. Then, use the <a ljsid-1=\"\">Запрос </a>tool to write SQL scripts to analyze, cohort, group, slice, dice, and pivot your data in unique, customized ways. Or, the Kochava team can help you customize the query for your specific brand’s needs.":1,"#Encontre qualquer serviço para adicionar":1,"#The list of software development kits (SDKs) published by Apple has a mix of well-known SDKs and obscure outliers. It appeared to be an addendum to a previous developer-focused communication. While the spirit seems to be attenuated to some SDKs that collect personally identifiable information (PII), it is important to note that the list hasn’t evolved much since it was first released. However, it is possible that more updates and additions will be made in the future. As for the impact on ad monetization SDKs, it is crucial for brands to review the list and ensure compliance with Apple’s guidelines to avoid any potential impact on ad monetization strategies.":1,"#Apple’s plans with privacy manifests provide more transparency to users about the data collected by apps and how it is used. Privacy manifest also empowers app developers by providing them with new control over whether third-party software development kits (SDKs) can transmit signal off device when user consent isn’t granted through Apple’s ATT framework. This level of control means that developers can safely integrate third-party SDKs, potentially avoiding the dreaded “contact your SDK provider” to change the default behavior of the SDK.":1,"#What are Apple’s plans with privacy manifests? What do you make of the list of SDKs they published? Will ad monetization SDKs be impacted?":1,"#Check out the full webinar on demand <a ljsid-1=\"\">здесь</a>.":1,"#Grant Simmons, VP of Kochava Foundry, recently hosted the webinar “All Things iOS,” where he unpacked topics including Apple’s SKAdNetwork (SKAN), the AppTrackingTransparency (ATT) framework, Apple Search Ads, and more. The Foundry team gathered some of the most engaging questions that came up during the session to answer in more detail.":1,"#Grant Simmons, VP of Kochava Foundry, recently hosted the webinar “All Things iOS,” where he unpacked topics including Apple’s SKAdNetwork (SKAN), the":1,"#Need help with your ATT prompting strategy, SKAN or Apple Search Ads, or any other iOS marketing topic? Get in touch with the Kochava Foundry team for an <a ljsid-1=\"\">expert consultation</a>.":1,"#Got more questions on iOS?":1,"#Apple is aware that there are still many unsolved challenges in the advertising space, and they have already implemented visibility around Apple Search Ads that Google cannot match. As for the broader private relay implementation, it is an interesting development aimed at enhancing user privacy by masking IP addresses. However, its broader impact and adoption are yet to be seen, and it will be important to monitor how this aligns with industry practices and regulations.":1,"#While the specific releases at Apple’s Worldwide Developer Conference (WWDC) 2024 are uncertain, it is expected that Apple will continue to focus on privacy and user control. They may introduce updates to their privacy features, additional components to privacy manifest, data granularity improvements to the SKAN framework, and new tools for developers and advertisers.":1,"#What do you think Apple will release at WWDC 2024? And what do you think about broader private relay implementation?":1,"#It is conceivable that Apple may push for a more direct integration with publishers, effectively making them integrate directly with Apple and requiring all internet traffic to go through the iOS operating system. It is important for brands to adapt to these changes and explore alternative advertising strategies, such as leveraging Apple Search Ads and other first-party data sources, to ensure continued access to iOS users.":1,"#The future for third-party ad platform access to iOS may become more restricted with Apple building their own DSP and possibly an SSP. Apple’s focus on privacy and control over user data may lead to tighter restrictions on data sharing and targeting capabilities.":1,"#With Apple building their own DSP and possibly an SSP as well, what is the future for third-party ad platform access to iOS?":1,"#To navigate this issue, brands should work closely with their MMP to establish clear guidelines and processes for differentiating between impressions and true user engagement. Standardizing reporting across offers and DSPs can also help address this measurement problem, allowing for better normalization and accuracy in attribution.":1,"#Over-attribution related to SKOverlay, which elevates engaged view impressions to a Fidelity Type 1 in the SKAN attribution waterfall, can be a challenge for brands. The passing of impressions as clicks on the MMP side, especially with SKOverlay signaling and Engaged View type “click” signals, can lead to inaccurate measurement and attribution. It is important for brands to recognize the misalignment that can occur, particularly with in-app ad units that generate multiple “tap-like” activities without significant user interaction.":1,"#How are you thinking about over-attribution related to SKOverlay elevating impressions to a Fidelity Type 1 in the SKAN waterfall (30-day attribution window)? Tangentially, how should brands navigate the loss of user intent signal with networks individually defining/justifying passing impressions as clicks on the mobile measurement partner (MMP) side with SKOverlay signaling and Engaged View type “click” signals? Ultimately, this becomes a measurement problem, but how can brands partner with their MMPs to address?":1,"#Another suggestion is to use network and publisher cost as an input and conversions as an output, implementing an MMM (Marketing Mix Modeling) or contribution model. This approach can provide valuable insights into the effectiveness of different marketing channels without reliance on deterministic, last-touch attribution. Exploring solutions like our <a ljsid-1=\"\">AIM (Always-On Incremental Measurement)</a> product can offer further guidance and support for smaller advertisers seeking to future-proof their attribution efforts.":1,"#The first recommendation is to maximize owned media opportunities by hydrating special, usually hashed, first-party identifiers to the extent possible. This allows for better tracking and attribution within advertisers’ own media channels.":1,"#For smaller advertisers who may not meet the privacy or crowd anonymity thresholds of SKAN, alternative models to attribution can be utilized to understand campaign performance.":1,"#I would love to hear about brands that are smaller advertisers and may not meet the thresholds of SKAN—what are alt models to attribution?":1,"#See How Brands Grow and Save With Kochava":1,"#Fight Back Against Fraudsters":1,"#Measure the Unmeasurable":1,"#IDT Case Study":1,"#A Single Source of Truth Across Omnichannel Media":1,"#SoSecure Case Study":1,"#Holistic mobile attribution and measurement for any app":1,"#Request a free demo with our <span ljsid-1=\"\">app marketing</span> experts.":1,"#Connect the dots between devices, platforms, and channels for a complete view of your users as they move through your app with <a ljsid-1=\"\">IdentityLink®</a>.":1,"#Fine-tune Your Strategy With More <span ljsid-1=\"\">App Growth</span> Tools":1,"#Media Growth Tools for <span ljsid-1=\"\">Media & Entertainment</span> Apps":1,"#Kochava ensures secure, privacy-first measurement of all your user data across Apple devices and complete support for <a ljsid-1=\"\">Atribución de SKAdNetwork</a>.":1,"#Media Growth Tools for <span ljsid-1=\"\">Medios y entretenimiento</span> Apps":1,"#Hear From Our <span ljsid-1=\"\">Medios y Entretenimiento</span> Clients":1,"#Explore more partners in the <a ljsid-1=\"\">Índice de medios de Kochava</a>":1,"#experts.":1,"#media and entertainment":1,"#Request a free demo with our":1,"#Measure your omnichannel":1,"#. Know which users are most likely to churn and reengage them before they do.":1,"#Boost overall user LTV with highly accurate predictive":1,"#Kochava ensures secure, privacy-first measurement of all your user data across Apple devices and complete support for":1,"#Apps":1,"#Media Growth Tools for":1,"#Search Ads Maven is a best-in-class suite of productivity and automation tools that empowers ASA marketers to:":1,"#Looking to more effectively scale on ASA?":1,"#Explore more partners in the":1,"#Clients":1,"#Hear From Our":1,"#delivers friction-free deep linking tools to get more users into your mobile app – consuming content on the go. Even turn SmartLinks into QR codes for use across physical and digital channels.":1,"#Subscriber stickiness increases with mobile app adoption.":1,"#to understand unique users and/or households.":1,"#Leverage our vast library of turnkey software development kits to seamlessly measure every platform where your users listen, play, read, and watch. Connect the dots across devices with":1,"#Explore more partners in the <a ljsid-1=\"\">Kochava Media Index</a>":1,"#経済指標、気象条件、休日、重要なイベントといった<strong ljsid-1=\"\">外部優遇は</strong>、マーケティング活動以外にも売上に大きな影響を与えるため、考慮に入れられます。これらの変数がなければ、マーケティング担当者は自然な変動をキャンペーンのせいだと誤解するリスクがあります。":1,"#with SKAN":1,"#Registered":1,"#For more information about dashboard controls, providing visualizations, and providing visitors with relevant":1,"#зарегистрирована в SKAN":1,"#It is important that the user who performs this authentication has access to all ad accounts running the media. This ensures that Facebook campaign data is available across your entire portfolio.":1,"#Please follow the authentication instructions described in the Facebook Credentials section of this":1,"#the MMM partner catalog":1,"#January 26, 2024":1,"#Ads Registered with SKAN":1,"#Google Introduces Integrated Conversion Measurement to App Campaigns":1,"#Kochava featured in new MMM TikTok affiliate program":1,"#Not a Kochava customer but want more information to help you succeed with your Facebook campaigns?":1,"#sign up for our email newsletter":1,"#If you have questions or need help with the new Facebook Insights dashboard, please contact your account manager or email":1,"#Facebook's measurement partner, Kochava, is one of the few in the world that still receives all row-level data from Facebook. However, we can no longer provide this raw data directly to advertisers. Only aggregated data and insights that meet minimum volume thresholds can be displayed. The introduction of Facebook Insights allows marketers to quickly get the insights they need about the performance of their Facebook campaigns, in line with Facebook's best practices and taking into account Kochava's valuable measurement metrics and KPIs.":1,"#Kochava introduces new Facebook Insights analytics":1,"#Для получения дополнительной информации об элементах управления информационной панели, предлагаемых визуализациях и настройках посетите соответствующую":1,"#TikTok включает Кочаву в":1,"#To use the new Facebook Insights dashboard, you'll need to complete the authentication process in the Partner Configuration module for Facebook in one of your apps.":1,"#How to start using Facebook Insights in Kochava":1,"#Main dimensions":1,"#supporting documentation":1,"#For more information about the dashboard controls, visualizations offered, and settings, visit the related":1,"#Filter, sort, and slice data by multiple dimensions to see key performance indicators compared to desired cohorts.":1,"#Views to easily analyze daily performance stats across campaigns, ad sets, ads, and countries—viewing this data across multiple Facebook apps and ad accounts at once.":1,"#with key metrics derived from Kochava data, including installs, post-install events, revenue, and re-engagement.":1,"#The new Facebook Insights module is now available in the Kochava Analytics dashboard, giving marketers even better access to data on the performance of their Facebook campaigns. The dashboard combines aggregated campaign data from":1,"#Simplified access to your Facebook performance data for greater action":1,"#18 min read":1,"#Introducing the new Facebook Insights analytics":1,"#Read the ad":1,"#the MMM partner directory":1,"#TikTok includes Kochava in":1,"#on Kochava's support).":1,"#When Facebook retired its Advanced Mobile Measurement (AMM) program last fall, marketers were forced to make changes to the way they accessed and analyzed their Facebook campaign data. Marketers said goodbye to the row-level conversion data they had come to rely on, with the exception of click-through conversions for Android app campaigns via Google Play, which Facebook made available via the Google Install Referrer API (see":1,"#Overcoming Facebook Data Access Issues":1,"#Allowed access to Facebook Insights for Facebook Marketing Partners (FMPs) and agencies will be coming in future updates. In the meantime, marketers can filter Facebook Insights data and forward it to their FMP or agency as needed.":1,"#Sending data by email":1,"#Download options":1},"version":47022}]