Stop flying blind on marketing profit.
Every ad platform and revenue source, in one place. See where your apps are making money, and where they're bleeding it.
True Profit
+18.4%$84,210
Real ROAS
+0.312.84x
Ad Spend
+6.1%$29,640
Profit Leak
3 campaigns$3,120
Spend vs Revenue · Last 7 days
Profit trajectory +24.6%
Daily Profit Summary
Profit grew +$5,820 vs yesterday. Google is your top earner. Unity Ads lost -$1.2k — it costs more per install than it earns.
Profit by channel
7DProfit leak detected
Unity Ads · costs more per install than it earns
Healthy data sync
All 11 sources updated 3 min ago
Budget shift suggestion
Reduce Unity Ads 15–20%, scale Google Ads
One source of truth across every ad and revenue platform
The profit leak hidden across your dashboards.
Every platform you run. None of them tell you if you're profitable.
Your data lives in one tab per platform.
Each platform speaks its own language: different currency, timezone, and definition of "performance." The full picture doesn't exist in one place.
You can't match spend to revenue.
Spend lives in ad platforms. Revenue lives in stores. Without a common key across app × country × date, true ROAS is a guess.
You spent $4,000. You made $2,600.
Those two numbers live in two different places. Nothing puts them side by side. So nobody knows the campaign lost $1,400 — and it's still spending today.
−$1,400
Two systems. Nobody does the subtraction.
Your marketing P&L in four steps.
Connect, unify, analyse, decide. Without a data warehouse.
Step 01
Connect your sources
Setup takes ten minutes
Google, Meta and TikTok connect in one click. Apple, AppLovin and Unity take the key you already hold.
- One-click OAuth
- No SDK
- No CSV exports
Step 02
We unify everything
One schema to rule them all
Every platform mapped to one schema, by app, country, date, and currency.
- Unified schema
- App × country × date
- FX-normalised
Step 03
We flag what's leaking
Checked every 30 minutes
Every sync, we re-test each channel's cost against its revenue. Anything turning loss-making gets flagged.
- Every 30m
- Loss detector
- Daily brief
Step 04
Delivered, not chased
Daily and weekly, on schedule
A profit brief each morning and a week-in-review every Monday, delivered in each recipient's own timezone.
- Daily brief
- Weekly review
- Per-recipient timezone
Everything you need to know if your apps are actually profitable.
Ten features. One question answered.
Spend and revenue on one row
Every ad platform you run and every store you sell in, in one dashboard. Spend and revenue, finally on the same row.
- 5 ad platforms
- 4 revenue sources
- One dashboard
Key benefit: Store revenue, not platform-reported conversion value.
Sources → unified profit ledger
Synced 3m agoProfit ledger
Which app makes money, and which doesn't
Every app gets a row. Revenue on one side, ad spend on the other, profit at the end. No guessing, no spreadsheet.
- Profit per app
- Profit per country
- Profit per day
Key benefit: One row per app. One answer.
MMP-reported ROAS vs True ROAS
Continuous loss detection
Six checks run on every sync: cost against revenue, spend anomalies, CTR and eCPM decay, stale feeds. Findings reach you in the morning brief.
- Every 30 minutes
- Six checks per sync
- No external model
Key benefit: A loss is reported, not discovered.
Meta Ads · last 7 days
CriticalCost per install is running above what an install earns.
- Cost per install
- $2.40
- Earned per install
- $1.80
Traffic fell with it — check campaign delivery, budgets and tracking before assuming a monetization issue.
The numbers, and the verdict
Most dashboards stop at the chart. This one ends with a sentence: which channel has headroom, which one costs more per install than it earns.
- Week over week
- Four numbers
- Named channels
Key benefit: It finishes the thought.
Founder view · last 7 days
Profit
$54,600
+18%Revenue
$84,210
+12%Ad spend
$29,640
+6%ROAS
2.84x
+0.31This week: Profit up 18%. Google Ads has headroom — scale budget 15–20%and watch cost per install. Unity Ads costs more per install than it earns.
One recommendation a day
Every morning at 10, your time: what revenue did yesterday, whether spend was covered, and the one move the numbers support.
- Every morning at 10
- Day over day
- One recommended action
Key benefit: One thing to act on, not ten to read.
Daily brief · 10:00 your time
Revenue rose to $84,210, led by App Store
- ↑Revenue increased. $84,210 is 18% above the previous day.
- ✓Revenue covered spend. $84,210 came in above $29,640 of ad spend.
- ✓App Store led revenue. It contributed 61% of tracked revenue.
Unity Ads costs more per install than it earns.
Reduce Unity Ads budget 15–20% or tighten targeting until its cost per install drops below $1.80.
Know when the total is wrong
A source that stops reporting doesn't drop to zero — it quietly understates everything. When one goes 3 days silent, we flag it in your brief and tell you to reconnect.
- Stale-feed check
- Token-expired status
- Named in the brief
Key benefit: A missing source is flagged, not absorbed.
Sync status
- Google AdsConnectedsynced 3 min ago
- App Store ConnectConnectedsynced 8 min ago
- Meta AdsConnectedsynced 3 min ago
- Unity AdsToken expiredlast synced 2 days ago
- TikTok AdsNo datalast synced 3 days ago
Flagged in brief
Converted at the rate of the day
Spend in USD, earn in BRL, EUR, JPY and INR. Each day's figures are converted at that day's rate — and the rate is kept, so last month's profit doesn't move when today's rate does.
- 50 currencies
- Rate locked per day
- Your reporting currency
Key benefit: History never moves after the fact.
Reporting currency · USD
Daily rate · locked per day🇧🇷 BRL
R$ 142.0k
→ $27.8k
🇪🇺 EUR
€ 38.4k
→ $41.6k
🇯🇵 JPY
¥ 4.8M
→ $30.2k
🇮🇳 INR
₹ 2.1M
→ $25.6k
Where the next 30 days are heading
Revenue, spend, profit and ROAS projected 7 and 30 days out — fitted on 56 days of your own history, with weekday patterns accounted for.
- 7 and 30 days
- 56 days of history
- Confidence band
Key benefit: A projection that shows its uncertainty.
Forecast · next 30 days
56-day fit- Revenue$91,400
$82,100 – $100,700
- Ad spend$31,200
$28,900 – $33,500
- Profit$60,200
$50,600 – $69,800
Range is an ~80% interval; it widens the further out the forecast looks.
Ask it a question in plain English
“Which country is losing money?” “Why did revenue drop yesterday?” Type the question and the answer comes back as numbers, a table or a chart.
- Plain-English questions
- Tables and charts back
- Never invents a number
Key benefit: It can't invent a number. It only reads yours.
Which country is losing money?
Brazil is your only country below break-even in the last 30 days. Ad spend ran ahead of revenue there while every other market covered its cost.
Revenue
$4,180
Spend
$6,240
Profit
−$2,060
Every figure is queried from your own data. No model, no estimates.
Your developer connects it. They never see the money.
Four roles. Developers connect and fix integrations without access to revenue or spend. Sales sees the numbers but can't touch connections. Billing stays with the owner.
- Four roles
- Data and integrations split
- Billing owner-only
Key benefit: Access by job, not all-or-nothing.
Who can see what
| Data | Integrations | Billing | |
|---|---|---|---|
| Owner | |||
| Manager | |||
| Sales | |||
| Developer |
Data means revenue and spend. A developer can fix a connector without seeing either.
The problem is real, and it's expensive.
Industry benchmarks from publishers running real UA budgets.
For a publisher spending $200K/month on UA.
Hours the average analyst spends gluing CSVs together. Every week.
Between a campaign going loss-making and the team noticing.
Uplift from unified measurement vs. platform-reported ROAS.
"MMPs tell you which channel installed the user. Revenue Sensor tells you which channel made you money."
The thesis behind Revenue Sensor
ROAS benchmark source: AppsFlyer State of App Marketing.
Built for app-first businesses that are serious about profit.
If your revenue runs on paid acquisition into an app, this is for you.
Mobile game studios
Pain
Five UA networks, three monetisation sources, no unified view.
How Revenue Sensor helps
One dashboard across every network, country and app — with campaign detail on Meta.
Subscription app publishers
Pain
You won't know if a cohort paid back for months. Finance reconciles store revenue by hand.
How Revenue Sensor helps
Revenue per install at day 1, 7, 14 and 30, so you see payback building before the quarter closes.
Multi-app publishers
Pain
5–25 apps. The portfolio P&L only lives in someone's head.
How Revenue Sensor helps
Cross-portfolio view by app, channel and country. No warehouse needed.
Performance agencies
Pain
Every client in a separate login, and a spreadsheet to keep them apart.
How Revenue Sensor helps
One login, a separate account per client, and roles so a client's developer never sees the numbers.
What teams say after the first week
Developers, UA leads, and finance teams who stopped stitching spreadsheets together.
Priced by plan, not by revenue.
Sources, refresh rate and depth scale with the tier.
No usage caps and no overage billing, ever. However much revenue and ad spend you run through Revenue Sensor, your numbers stay correct.
No, and it's not trying to. MMPs are attribution tools; they answer “which channel caused this install?” Revenue Sensor is a profitability tool; it answers “which channel made me money?” The two are complementary — most teams run both. We don't read from your MMP, so we can't tell you which channel caused an install. We can tell you which one made money.
Stop guessing. Start knowing.
Put your marketing P&L on autopilot. No credit card, no sales call.
- Free plan to start
- Connect in minutes
- Cancel anytime
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