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Zalo Game CenterNational-scale consumer product

Ad revenue up 30% in six months, inside Zalo.

Product Owner for Zalo Game Center: one new launch and four live products.

+15%user engagement

Role
Product Owner
Company
Zalo
Period
02/2023 — 04/2024
Stack
A/B testing, Tracking dashboard, Live events, Ad monetization

Context

The job

Zalo Game Center is the games platform inside Zalo, Vietnam's leading messaging app. As Product Owner I owned the roadmap and delivery for one new launch and four live products, working with engineering, design and data teams. My claim here is narrow: I did not build the games or the pipelines, I decided what got measured, tested and run, and in what order.

Thao owned

Insight

The decision: measure first

The tension was simple. Reporting was manual, so every question about the games cost someone a data request, and an ad placement is easy to argue about and hard to settle. I put the tracking dashboard first so that experiments and events would have a scoreboard. Step through the three workstreams and watch the results appear.

The decision

Run experiments first, or build the scoreboard first?

Chosen: The tracking dashboard first

Put the tracking dashboard first, so experiments and events have a scoreboard.

Cost I accepted: Experiments waited until the scoreboard existed.

Source: Thao's CV (Zalo, Feb 2023 to Apr 2024) and her description of the roadmap.

Monetization

Why test at all

Ad placement looks like a design opinion. It is a revenue lever, and at this scale the cheapest way to find out which placement is better is to ask the players. Try the call yourself, then see why a picture is not evidence.

Results

total ad revenue within six monthsCompany figure
+30%
user engagement from monthly eventsCompany figure
+15%
paying usersCompany figure
+3%

What I would do next: write the baseline and the test log down next to every number, so the result can be checked, not just believed.

Source: Thao's CV (Zalo, Feb 2023 to Apr 2024). Baselines are not disclosed, and the figures are shown exactly as written. The −40% manual data extraction from the dashboard is in the walkthrough above.

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