01 Always winning

A track record you can check, not just take our word for

Every campaign AppGro runs leaves a number behind — a ROAS, a CPI, an install count — attached to a real brand and a real KPI. This page is the deeper cut of the three case studies that anchor our results ledger elsewhere on the site, told with the full context: what the brand needed, what we built, and what shipped. Below that, an aggregate look at how the whole network performs, not just these three.

02 The long-form case studies

Three brands, three hard problems, three shipped numbers

RummyCircle
Gaming · India T1–T2
X ROAS
RummyCircle needed cash-depositing players in India's tier-1 and tier-2 cities, not just app opens. We built targeted in-app video placements around the moments players were already engaged, then held every source to a day-7 retention KPI so budget only kept flowing to traffic that stuck around. The result was a 3.2X return on ad spend, with deposits concentrated in the cities the brand actually wanted to grow.
Increase depositsIn-app videoD7 KPI
Case study →
OctaFX
Fintech · SEA & MENA
−% CPI
OctaFX was paying too much for registrations padded with low-quality traffic across Southeast Asia and MENA. We rebuilt the registration funnel around API-backed fraud filtering that caught and blocked emulation and click-injection before it ever touched the CPI number. Within 60 days, cost per install dropped 28% and the remaining traffic mix was made up of real, verifiable sign-ups.
Lower CPINative & push60 days
Case study →
Kwai
Social video · Emerging markets
K installs
Kwai wanted volume in emerging Android markets without sacrificing the retention curve that makes a social video app worth running. We leaned on programmatic SDK distribution and a publisher mix tuned for those markets, moving fast enough to land 45,000 installs in 30 days while still beating the D30 retention ratio the campaign was benchmarked against.
Scale installsProgrammatic SDKD30 KPI
Case study →

03 Beyond three brands

What the whole network looks like right now

RummyCircle, OctaFX, and Kwai are three named examples — not the whole picture. These are aggregate, network-wide averages across active advertiser campaigns, not a single client's result.

Network proof — active campaign average

Average ROAS across active advertiser campaigns
Of campaigns hit their target KPI within 60 days
Average CPI reduction after fraud-filter optimization
Of active publishers paid out weekly, on schedule

Your brand could be the next number on this page

Tell us what you're optimizing for — deposits, CPI, installs, retention — and we'll tell you what a realistic first 60 days looks like.