AppsFlyerAppsFlyer

From data to decisions – Fast: Meet My Dashboards

By Orr Weil·2025年5月19日·3 分钟阅读

摘要

营销数据碎片化问题严重拖累决策效率。据内部研究,67%的营销人员将数据分散和人工报告视为头号挑战,而等待BI支持需4.5至14天,导致单次延迟15天的活动可能损失约3.75万美元收入。AppsFlyer发布My Dashboards,旨在终结“Excel地狱”,让数据驱动决策提速。

My Dashboards核心卖点是统一数据源:将Activity、Cohort、LTV、SKAN、SSOT等模块汇集于同一视图,无需切换平台即可观察用户获取、广告变现、归因分析等全漏斗指标,确保单一事实来源(SSOT)。

产品强调灵活性与实时性:用户可无代码定制KPI看板,自由配置指标、维度、筛选项及图表样式(如组合图、时间对比);数据实时更新,营销人员能即时监控点击、安装、广告收入,并在线调整投放策略,摆脱对BI团队的依赖。

协作方面,My Dashboards支持一键分享看板或组件至团队内外,实现分析师、UA经理与高管间的信息对齐,避免版本混乱。产品已被多家MMP用户用于优化CPI、ROAS和LTV,帮助实现增量提效。

目前My Dashboards已开放使用,AppsFlyer表示后续将持续迭代。该工具尤其适用于运营多平台UA及SKAN渠道的营销团队,可缩短报告周期,加速从数据到决策的闭环。

猜你喜欢

AppsFlyerAppsFlyer

Marketing attribution: what it is and how to measure it

Marketing attribution is critical for connecting spend to revenue, but platform self-reporting and last-click bias distort budget decisions. Single-touch models (first/last-click) are simple but miss the full journey; multi-touch models (position-based, data-driven) are more accurate but require robust data. Mobile attribution is particularly challenging due to ATT, SKAdNetwork, and cross-platform gaps, necessitating a mobile measurement partner (MMP) for independent, deduplicated measurement. Clean attribution data is essential for AI-driven optimization—bad signals lead to bad decisions. Starting with position-based attribution and incrementality testing provides a practical foundation.

Shani Rosenfelder·2026年7月9日·15 分钟阅读阅读文章 →
AppsFlyerAppsFlyer

Unlock the value of web-to-app

Web-to-app strategies boost conversions by 77% and achieve 13.6% average paying user rate. Brands like adidas saw 2.4x higher ROAS from deep-linked users, while AirAsia improved bookings by 19%. Key challenges include measurement gaps, siloed teams, and onboarding friction. Solutions involve Google Ads Web-to-App Install and Web to App Connect with AppsFlyer Smart Banners and deep linking. Actionable steps: set tracking, import conversions, activate smart bidding, and deep link users.

Shani Rosenfelder·2025年5月15日·12 分钟阅读阅读文章 →
AdjustAdjust

How AI is transforming personalization in mobile marketing | Adjust

AI personalization is now essential for mobile marketing, with 71% of consumers expecting tailored experiences. This article outlines how AI enhances audience intelligence, creative personalization via DCO and GenAI, engagement timing, and measurement. Marketers should start small with focused A/B tests, prioritize user value, and collaborate across UA, CRM, and product. Key challenges include privacy, overpersonalization, and model bias. Adjust's Growth Copilot offers AI-driven analytics to streamline decision-making.

automating and predicting aspects·2025年7月15日·7 分钟阅读阅读文章 →
AdjustAdjust

How data collaboration platforms work in mobile marketing | Adjust

Data collaboration platforms (DCPs) help mobile marketers unify first-party data for secure, privacy-compliant collaboration. They enable audience targeting, campaign optimization, and operational efficiency without exposing raw user data. Unlike data clean rooms, DCPs emphasize activation and integration with downstream systems. For ad ops decision-makers, DCPs offer a scalable way to navigate post-ID privacy regulations while maximizing data value.

automating workflows·2025年6月11日·3 分钟阅读阅读文章 →
AppsFlyerAppsFlyer

80% of Fintechs have adopted AI in marketing, but only 29% got results. Here’s the kit that closes the gap.

Most fintechs (80%) use AI but only 29% see results due to data fragmentation and unclear priorities. Successful teams start with one workflow using existing attribution data. Examples: GCash used Agent Hub for anomaly detection, saving 3+ hours/week; Flip automated reporting via AppsFlyer MCP for a team of three. Key insight: connect clean, existing data to AI tools, don't wait for perfection. AppsFlyer provides a starter kit with prompts and a 30-day plan.

Eden Kalderon·2026年6月28日·7 分钟阅读阅读文章 →
AppLovinAppLovin

A Note from Our CEO: Discussing Web Advertising Opportunity and Unpacking Pixels

AppLovin CEO Adam Foroughi refutes a short report questioning its e-commerce ad business and pixel practices. He highlights rapid growth to a billion-dollar run rate, noting 80% of sales occur within 24 hours, proving incrementality. The pixel is standard, comparable to Meta and Google, and Shopify auto-appends data similarly. Foroughi emphasizes that the ad models are young but improving fast, and the web ad market offers massive opportunity. He urges investors to dig deeper and use AI tools to verify claims. The response underscores AppLovin's commitment to innovation and execution.

Adam Foroughi·2025年3月28日·7 分钟阅读阅读文章 →
AdjustAdjust

Boost ROAS with mobile marketing automation | Adjust

Mobile marketing automation is critical for scaling ROAS by enabling real-time, data-driven campaign optimization. Key strategies include setting automation rules for bid/budget adjustments based on performance thresholds, implementing anomaly detection to prevent wasted spend, and using smart alerts for timely budget reallocation. A case study from Melsoft Games shows that automation allowed testing hundreds more creatives without extra time or cost. For ad ops leaders, the takeaway is that automation reduces manual bottlenecks, improves reaction speed, and directly boosts ROAS when integrated with attribution and analytics tools.

providing systems that continuously·2025年7月29日·4 分钟阅读阅读文章 →
AppsFlyerAppsFlyer

Introducing AppsFlyer MCP: Marketing Intelligence for the AI Era

AppsFlyer's Model Context Protocol (MCP) lets marketers query real-time marketing data via natural language in LLMs like Claude or ChatGPT, bypassing dashboards and data teams. It converts prompts into API calls to access attribution, analytics, audiences, and more, enabling instant insights and AI-powered workflows. For ad ops, this means faster decision-making, reduced dependency on engineering, and scalable autonomous agents for campaign optimization, audience management, and link governance.

Oryan Aviner·2025年7月17日·8 分钟阅读阅读文章 →

更多来自 AppsFlyer

Five marketing lessons from football’s biggest tournament

足球顶级赛事揭示了移动营销的五个关键教训:注意力呈3分钟爆发式碎片化,而非持续第二屏;购买行为与注意力不同步,中场休息是转化高峰;全球赛事不等于全球行为,本地法规、基础设施、生活习惯塑造差异;情感参与度比观众规模更能驱动互动,胜负难料的比赛...

2026年7月28日·10 分钟阅读

Marketing attribution: what it is and how to measure it

营销归因是确定哪些渠道和广告活动真正驱动转化的关键,缺乏独立测量层会导致预算决策被last-click偏差扭曲,使真正有效的渠道被削减。多触点归因模型(如位置模型)比单触点更准确,但需要更多数据支持;AppsFlyer的归因方案可恢复30-...

2026年7月9日·15 分钟阅读

The Optimal Tech Stack for the AI Era

文章指出AI时代营销技术栈的核心问题在于测量层与激活层脱节,四个结构性缺陷(平台碎片化、渠道孤岛、漏斗盲区、测量-激活断层)导致信号失真与决策偏差。关键洞察是传统营销云以激活为中心,但AI优化依赖独立、一致的信号层,AppsFlyer通过跨...

2026年7月8日·7 分钟阅读

6 reasons why mobile apps set the gold standard for omni-channel measurement

移动应用因率先解决隐私、欺诈和平台碎片化等挑战,建立了全渠道测量的黄金标准。例如,iOS 14.5后移动广告支出持续增长,而欺诈检测显示约15%的安装为虚假。其他渠道必须借鉴移动经验,通过独立归因、信号治理等基础设施,才能实现可信任的跨平台...

2026年7月5日·8 分钟阅读

80% of Fintechs have adopted AI in marketing, but only 29% got results. Here’s the kit that closes the gap.

80%的金融科技公司已将AI应用于营销,但仅29%获得实际成效,核心差距不在于技术本身,而在于未能将AI与高质归因数据有效连接。成功案例表明,从单一工作流入手(如异常检测或漏斗分析),借助现有工具(如AppsFlyer的Agent Hub和...

2026年6月28日·7 分钟阅读

Cross-platform measurement: the complete guide for 2026

跨平台测量通过统一的客户身份(CUID)将网页、移动端、CTV等渠道的触点连接成单一归因旅程,解决数据孤岛导致的LTV低估和归因冲突问题。AppsFlyer的Product Line分组与CUID拼接实现实时跨平台LTV与ROAS衡量,避免...

2026年6月23日·12 分钟阅读