Marketing budgets
should not fall into decision blind spots
GA4 conversion data often takes one to two days to become complete. MAPD+ first uses a backfill rate to estimate a calibrated reference figure, so you do not have to wait for all the data before you start making judgements.
| Ad group | Platform ROAS | Calibrated ROAS | Status |
|---|---|---|---|
| Search_Brand terms | 2.10 | 2.84 | Normal |
| PMax_All products | 1.85 | 2.41 | Learning |
| Display_Remarketing | 3.20 | 3.20 | Stable |
Have you faced these problems?
It is not just you. These are decision traps every advertiser faces every day
What does each letter in MAPD+ stand for?
Each letter is a precise tool for a specific ad decision problem
Estimates a figure closer to reality from data that has not finished backfilling, so budget decisions do not have to wait
Before you press “turn off ad”, it flags the risk of that decision
Suggests how many steps to split a change into and how much to adjust at each step, and records the settings before the change
Helps tell whether the system is stuck in learning or the creative has gone stale, and alerts you when it spots an anomaly
Adds back (the “plus”) all the profit you nearly missed, so your ad investment is truly worth it
Four core modules
From data calibration to decision execution, covering every key stage of ad optimisation
Shorten the gap while you wait for GA4 attribution data
Estimate conversion performance after backfill
Account history GA4 calibration industry benchmarks: three fallback levels keep it working even from a cold start. It uses GA4 backfill paths to calculate a Backfill Rate and estimate ROAS after backfill. This is an estimate: it is revised as the data comes in, and it shows which basis was used for the estimate.
Risk scored from 0–100, so before a “turn off ad”
command is sent, you see the risk
A three-factor weighted algorithm: data saturation (50%), learning days (25%) and historical sensitivity (25%). It automatically outputs a risk level and a recommended action, so you can act precisely in a low-risk window.
Suggests splitting a change into steps
and gives step-by-step recommendations
Settings are recorded before every change, so if results fall short you can change them back manually using the record. Adjusting in steps is meant to reduce the chance of interrupting the ad learning period.
Detect unusual swings and help tell whether it is
“stuck in learning” or “creative fatigue”
Avoid mistaking normal learning-period swings for a drop in performance and killing ads that are still growing. When it detects an anomaly, it lists possible causes and a suggested next step, and you decide whether to act on it.
Live in 10 minutes
Faster than a meeting · No code · No interruption to your campaigns
Grant GA4 / Google Ads access through secure OAuth 2.0 authorisation. No account passwords are stored, in line with Google security standards.
Connect your website conversion signals, and attribution delay is calibrated automatically. The M module immediately starts building a backfill rate baseline.
Switch on decision navigation and all four modules take effect immediately. The A module scans the account automatically, and the D module goes into monitoring standby.
Settings are recorded before every change and can be restored from the record if results fall short. The P module keeps optimising so profit keeps multiplying.
Results from our case studies
The figures below come from published case studies
*Source: CTi News × CloudAD case study (Real-time analytics)
Choose the plan that suits you
Change plans at any time · Add extra accounts as needed · We will send a quote within 1 working day of your enquiry
5 ad accounts · Daily sync
- 5 ad accounts
- Daily sync (1 per day)
- Estimated calibrated ROAS
- Learning-period risk alerts
- General optimisation suggestions
- Weekly Google Sheets data report
15 ad accounts · Sync every 4–6 hours
- 15 ad accounts (extra accounts can be added)
- Near real-time sync (every 4–6 hours)
- Estimated calibrated ROAS
- Learning-period risk alerts
- General suggestions + decision trail log
- Weekly Google Sheets data report
- Automated PPT wrap-up reports · with decision recommendations (up to 3)
100 ad accounts · Hourly sync
- 100 ad accounts (extra accounts can be added)
- Near real-time sync (hourly)
- Calibrated ROAS compared with actual conversions (ad platform vs actual conversions)
- Learning-period risk + landing page health monitoring
- Suggestions + decision trail + creative lifespan alerts
- Automated inventory alerts
- Sheets + PPT wrap-up reports + quarterly brand analysis report
Real clients, verifiable results
Impact Hub Taipei × CloudAD case study
“Every month we used to spend hours manually pulling data from FB, IG, YouTube, Meta Ads and other platforms to put reports together. After we brought in data integration, all of that repetitive work was automated, saving about 35 hours of staff time a month.”
“Before, each platform’s data sat on its own, so there was no way to compare across them, and every cross-team conversation meant going back and forth to confirm the numbers. After integration, communication costs fell by 70%, and cost per acquisition (CPA) dropped by 20% as well.”
“The biggest change is not just the numbers. A 15% increase in conversion rate matters, of course, but the key thing is that the whole team went from ‘passive data compilers’ to ‘proactive strategic decision-makers’. That is the real upgrade.”
Read the full case study at cloudad.tech/showcase_impact-hub-taipei
FAQ
Any other questions? Feel free to contact us directly
Standard reports show results that have already happened. In MAPD+, the M module calibrates GA4 attribution delay in real time; the A module flags risk before you make a change; the P module gives a step-by-step plan; and the D module automatically identifies learning-period anomalies. Together, they take you from “reading reports” to “making decisions”.
No. MAPD+ is currently an advisory tool, and every step has to be carried out manually by the advertiser. MAPD+ gives you the basis for deciding when to act, how much to change and in how many steps; the final call is yours.
Yes. Without GA4 data, the M module automatically falls back to account history or industry benchmarks (cold-start mode), so backfill rate estimates still work, with slightly lower accuracy.
MAPD+ uses standard Google OAuth 2.0 authorisation and does not store your Google account password. It reads only the necessary data from the Google Ads API and does not access other Google services. All data is encrypted in transit and in storage.
No. The trial does not require a credit card. When it ends, your account moves to a free read-only mode, and you are only charged if you upgrade.
Back every budget change with evidence, and stay out of decision blind spots
Set-up takes 10 minutes. Book a trial now: fill in the form below and we will contact you within 1 working day.