Flagship course
App Campaign ROI Lab
Six weeks of structured practice for marketers who need Campaign ROI Analytics for Apps they can defend in budget meetings.
What you will leave with
- A documented attribution policy your team can actually follow
- A cohort payback workbook tied to your app’s events
- A creative kill/scale checklist grounded in early ROI signals
- Language for explaining uncertainty to finance without overselling lifts
Modules
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ROI definitions that survive scrutiny
Align product, growth, and finance on payback windows, revenue recognition, and which costs count.
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Attribution hygiene for mobile UA
Diagnose double counting, click inflation, and channel overlap before you trust platform ROAS.
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Cohort payback mapping
Build week-level views from install to retained revenue, including partial-week edge cases.
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Creative signals that predict ROI
Score early engagement and retention markers to decide which concepts deserve more spend.
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Reporting rituals for live campaigns
Design a weekly review cadence that catches ROI drift without drowning the team in charts.
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Lab project: your campaign ROI trail
Ship a complete ROI narrative for one live or historical campaign, reviewed by instructors.
Instructor
Nalinee Phong
Nalinee has led paid UA analytics for consumer apps across Southeast Asia and now teaches measurement design from Hua Hin. She focuses on making ROI stories readable for non-analyst stakeholders.
Informational pricing
Enrollment fees are published for planning only — Digitaltrailbase does not process payments on this site.
Solo seat
THB 14,900
One learner, full lab access, project review.
Team trio
THB 39,500
Three seats with a shared cohort payback clinic.
Org desk
Custom
Multiple squads, private office hours, custom event taxonomy review.
Figures exclude VAT where applicable. Contact us for current cohort dates.
FAQ
Do I need a data science background?
No. Comfort with spreadsheets and basic campaign reporting is enough. We teach the analytics framing, not machine learning models.
Which ad platforms do you cover?
Examples draw from Meta, Google App campaigns, and common MMP exports. Concepts transfer; we do not certify platform certifications.
What is a real limitation of this course?
We cannot reconstruct perfect attribution when your MMP and store data are incomplete. If event logging is broken upstream, the lab will surface gaps rather than invent numbers — and that can feel unsatisfying if you expected a single “true ROAS” answer.
Is there a refund policy?
Yes. See our refund policy for eligibility windows and conditions.
Learner notes
The Module 5 review ritual cut our Monday meeting from 50 minutes to 25 because everyone arrived with the same payback chart.
★★★★☆ — Strong on cohorts. Wish there were more iOS privacy edge cases in week two.