Step 01
连接
无需工程投入
只需几次点击,即可关联你的广告网络和收入来源。
- Meta、Google、TikTok 等
- Stripe 与应用收入
- 安全的 OAuth——无需写代码
ROASSensor 连接每一个广告网络和每一个收入来源,随后呈现每个渠道、广告系列和创意背后真实的广告支出回报(ROAS)——让你不再靠猜,而是放大真正有效的投入。
已接入 7 个广告网络
投放花费与 Stripe 和应用商店收入对账
Blended ROAS
3.42x
Ad spend · 30d
$147.3k
Wasted spend caught
—
Spend and revenue stream in from every ad network.
Live event stream
spend + revenue深受以 ROAS 为生命线的团队信赖
34%
前 30 天内最多可揭示这么多被浪费的广告支出
5+
个广告网络统一为一个可信的 ROAS 数字
100%
支出与你的实际收入完成对账
1
整个团队终于一致认可的唯一事实来源
把每一个网络和收入来源汇集成一个你可以信赖的数字,并在月末结账前据此行动。
将每一个广告网络和收入来源汇集成一个你可以信赖的数字——实时呈现混合口径与渠道级别。
看清哪些广告系列、广告组和创意真正带来付费用户——而不只是从不转化的安装量。
在月末结账前,自动标记每一个在盈亏平衡线以下烧钱的广告系列。
获得清晰的建议,知道下一步该把支出移向何处以提升整体回报。
仪表盘告诉你发生了什么,ROASSensor 告诉你该怎么做。
到处都是相互矛盾的数字
每个广告网络只报告自身、并夸大自己的归因,留给你一堆永远对不上的数字。
虚荣的安装量掩盖了浪费
基于安装量的 ROAS 看起来很健康,广告系列却在悄悄把预算烧在从不转化为付费的用户身上。
你发现得太晚了
等每月电子表格对账做完,预算早已花光,月份也已结账。
一个对账后的混合 ROAS
ROASSensor 将每一个网络与你的实际收入对账,让混合口径和渠道级别的 ROAS 终于一致。
付费用户 ROAS,而非虚荣 ROAS
把支出映射到收入、细分到创意级别,看清哪些广告带来真正的付费用户,哪些只是虚增数量。
在亏钱之前发出实时预警
持续的盈亏平衡监控会在广告系列刚转入亏损时就标记出泄漏——而不是几周之后。
ROASSensor 将来自每一个网络的广告支出与你的商店和订阅收入数据合并,让混合口径 ROAS 与渠道 ROAS 终于一致。
Blended ROAS · all channels
3.42x
知道哪些广告系列、广告组和单个创意带来付费用户,哪些只是虚增安装量。
Creative-level attribution
ROASSensor 持续对照盈亏平衡 ROAS 监控每一个广告系列,并在其转入亏损的那一刻向你发出预警。
Spend leaks · below break-even
Live把 ROAS 数据转化为决策。ROASSensor 为你的渠道建模,并推荐能提升总回报的预算重新分配。
Recommended reallocation
Move $4,000 from TikTok-Promo-Q4 to Meta-Retarget.
Reasoning: TikTok-Promo-Q4 has sat below break-even for 9 days while Meta-Retarget is scaling efficiently at 4.1x.
新集成持续加入。需要某个未列出的集成?告诉我们。
广告网络
收入与数据
ROASSensor 把零散的报告转化为重新分配的预算和收回的支出——这些都是你的财务团队会注意到的可量化成果。
尽早发现并停掉盈亏平衡线以下的广告系列——前 30 天内最多可捕捉 34% 的被浪费广告支出。
把预算移向真正带来付费用户的渠道、广告系列和创意。
用整个团队都已认可的一个 ROAS 数字,取代每周的电子表格对账。
每条建议背后都有通俗易懂的推理,意味着你依据信号行动,而非凭直觉。
如果你的增长依赖广告支出,ROASSensor 会为每个角色提供一个可据以行动的数字。
Pain
五个用户获取网络、多个变现来源,却没有真实回报的统一视图。
How ROASSensor helps
一个仪表盘将支出与收入对账,得出每个广告系列和创意的真实混合 ROAS。
Pain
安装 ROAS 看起来很健康,试用用户却在付费前就已流失。
How ROASSensor helps
付费用户 ROAS 和同期群视图揭示哪些广告系列真正产生收入。
Pain
每个应用报告方式各异,组合层面的 ROAS 从来对不上。
How ROASSensor helps
在一个工作区内提供货币归一化的跨应用 ROAS,并支持自定义归因模型。
Pain
每周的客户报告意味着每个周一都要手动做电子表格对账。
How ROASSensor helps
自动化、实时的 ROAS,通过共享仪表盘让你的整个团队和客户达成一致。
以 USD 计价,支持印度本地优先计费。免费起步,无需信用卡。
加入内测前你需要了解的一切。
ROASSensor is ad attribution and Return on Ad Spend measurement for websites and mobile apps. It records the ad click and the visits that follow, receives revenue from a signed Stripe webhook, your own server or the app stores, decides which ad earned each sale, and divides by the spend pulled from Meta, Google Ads, TikTok and Apple Ads. The result is one ROAS per channel, campaign and creative, with the unattributed share reported rather than hidden.
Each platform counts every sale it can see and ignores the ones it cannot, so adding the dashboards together gives you more revenue than your bank did. ROASSensor starts from the other end: your revenue ledger. Every order in Stripe or the store is the denominator, and the report says how much of it matched an ad click, how much of that was deterministic, and how much stays unattributed. A disclosed denominator is what makes the number defensible.
For a website, one script tag: roas.js is a small snippet you paste into the site or a tag manager, and it starts recording visits immediately. Native Android and iOS SDKs cover apps, with Flutter and React Native bridges. Revenue never comes from the browser or the app, only from a signed webhook or your server, so nothing a visitor can run in a console changes a ROAS number.
Spend syncs hourly from Meta, Google Ads, TikTok and Apple Ads through each platform's own API, with credentials you authorise and can revoke. Revenue arrives from Stripe (signed webhooks), RevenueCat, App Store and Google Play notifications, or one POST from your own server. Matched sales are pushed back to Meta's Conversions API, Google Ads and TikTok's Events API, deduplicated automatically against the pixel and tag you already run.
Same day. The snippet is a paste, Stripe is a webhook and a signing secret, and an ad account is an OAuth sign-in. You can install the snippet today and connect spend later: collection starts immediately, and the history is there when the ad accounts arrive.
Personal data enters the tracking tables only as hashes: an email or phone is hashed before it is stored and is never held in the clear. Ad-platform tokens and webhook secrets are write-only once saved. Tracking is delivered first-party from your own domain, retention is a setting, and GDPR erasure is a single action against an email address.
可以。Starter 方案免费,无需信用卡,让你在做出承诺前先看到自己的真实 ROAS。
A waterfall, strongest evidence first: the ad click ID, then the identity graph (visitor id, hashed email or phone), then a bare visitor id on a touchpoint. Your attribution model then decides which touches share the credit: last touch, first touch, linear or time decay. Whichever you pick, the credit sums to exactly one and the split sums to exactly the sale, allocated to the cent. Late touchpoints and identity merges recompute hourly, so yesterday corrects itself instead of being lost.
Not unless you tell it to. Probabilistic matching on IP and user agent exists, is off by default, and when enabled its revenue is reported separately as weak-match revenue so it can never hide inside the headline number. An unattributed sale costs you nothing; a wrongly attributed one keeps you funding an ad that never worked, so the default is the honest gap.
Hosted tracking links log the click on our server before any ad blocker runs and mint a click ID that survives Safari's link-tracking protection. Delivering the snippet first-party through a path on your own domain is what keeps a returning iPhone buyer recognisable, because Safari erases script-set storage within days for visitors who arrived from an ad. We do not claim to beat ITP: a CNAME subdomain is capped at seven days like everyone else's, which is why the docs recommend the proxy path.
Yes. The Android and iOS SDKs run the same session model as the web snippet, so a site and an app in one dashboard share one definition of a visit. In-app purchases are verified with the store the moment the SDK sees them, and retention shows whether the installs a campaign bought actually came back, which ROAS alone cannot see. Emulator and repeat-install signals are disclosed per campaign, never silently excluded.
让你的广告支出进入自动驾驶。无需信用卡,无需承诺。
邀请邮件会立即发送到你的收件箱。