Catalina Pisani — Analytics Portfolio
Selected case studies from SYBO Games (Subway Surfers) · Senior Product Data Analyst
Game initialization drop-off: diagnosing why users never reached the main menu
We started working on improving the game initialization funnel because there was a drop-off where we were losing users who never even got to load the game.
Step-by-step funnel
Timeouts on asset loading: Median of 4.2s on older Android devices, frequently hitting the 5s timeout and forcing a crash.
Config fetch failures: A subset of iOS users was failing the remote config step, causing a silent crash with no retry logic.
Engineering fixed the timeout logic and added retry handling. Drop-off improved measurably and the dashboard became an ongoing monitoring tool for new releases.
Mission funnel drop-off: finding the friction point blocking level progression
The mission system drives engagement by guiding players through game features. To advance levels, users must complete sets of 3 missions across 35 total levels. The PM asked for a progression analysis to understand where players were getting stuck.
Examples: play N runs, collect N coins, open a mystery box.
Completing all 35 levels unlocks special events and game modes.
% of users completing each mission level
Sharp drop-off between levels 5 and 6: From ~71% to ~34% — much steeper than any other transition. This flagged a specific mission at level 6 as the likely cause.
Completion rate per mission within level 6
Mission 3: "Buy a mystery box from the shop." After simulating the action myself, I found the mystery box was positioned very low in the shop scroll — not visible on first open, with no visual cue pointing to it.
When a user had this mission active and opened the shop, the game automatically scrolled to the mystery box and displayed a badge highlighting it.
- Mission 3 completion at level 6 improved from 41% to 74%.
- Overall drop-off between levels 5 and 6 decreased significantly.
Welcome Pack: investigating low conversion through exposure analysis
The Welcome Pack is a $4.99 limited-time offer available to new users during their first 3 days. It is surfaced in the shop and also shown as a pop-up after the user's first 3 games. We observed conversion was lower than expected, so we analyzed whether the percentage of users exposed to the pop-up was aligned with expectations — which should equal the % of users who play at least 3 games on day 1.
Welcome Pack was shown late in the pop-up queue
How I analyzed the exposure gap
Hypothesis: "If we show the Welcome Pack pop-up earlier in the session, we'll increase exposure and that will drive higher conversion and ARPDAU."
| Metric | Control | Variant A | Variant B |
|---|---|---|---|
| Pop-up exposure | 31% | 78% +151% · significant | 71% +129% · significant |
| ARPDAU (IAP) | $0.031 | $0.032 · not significant | $0.031 · not significant |
| D1 Retention | 38.2% | 37.9% · no impact | 38.1% · no impact |
Exposure increased significantly for both variants, but ARPDAU and retention didn't move. The team decided not to ship either variant and redirected focus toward the offer design itself.