Podz scaled installs 882% while cutting blended CPI 64% (from $5.90 to $2.13) with a repeatable system of structured testing and creative iteration.
The Challenge
Podz needed to increase installs while bringing CPI down. Early performance showed higher costs and limited volume.
The objective was steady scale with tighter cost control, without relying on short-term spikes.
Our Solution
We ran a simple operating system focused on repeatable inputs.
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Weekly testing cadence. We set a consistent rhythm for testing creative angles, hooks, formats, and placements. One primary variable per test, clear success criteria, and fast decisions.
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Creative refresh built into the plan. We produced and rotated new creative continuously to prevent fatigue. Winners were rebuilt into variations, then re-tested and scaled.
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Budget discipline. Spend moved toward ads and ad sets that produced installs efficiently. Underperformers were paused quickly, and learnings fed directly into the next test cycle.
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Reporting loop that drove production. Performance data informed what we made next. This kept creative output aligned with what was converting in-market.
Results
March 2025: $6,966.20 spent, 1,181 installs, $5.90 CPI. This was the baseline. The account was generating installs, but efficiency left limited room to scale. The priority was to identify which creative angles and delivery settings could lower CPI without reducing volume.
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September 2025: $18,777.71 spent, 5,821 installs, $3.12 CPI. By September, spend had scaled and CPI fell at the same time, driven by a consistent testing cadence and a steady creative refresh cycle. Winning themes were rebuilt into variations and re-tested to extend performance, while underperformers were removed quickly so budget stayed concentrated on what produced installs efficiently.
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January 2026: $25,051.62 spent, 11,596 installs, $2.13 CPI. By January, the campaign system was producing higher volume at a lower blended CPI. The creative pipeline and reporting loop enabled ongoing improvements without relying on one-off spikes.
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Performance change from March 2025 to January 2026:
- CPI decreased 64% ($5.90 to $2.13)
- Installs increased 882% (1,181 to 11,596)
- Spend increased 255% ($6,966 to $24,721) while efficiency improved
- Installs per $1,000 spent increased 177% (170 to 469)
These results show two outcomes achieved at the same time: increased delivery and improved cost efficiency. The improvement was sustained across multiple points in time, supported by repeatable execution rather than a single short-term lift.
“These results were not luck. They came from a proven system: test, learn, iterate, repeat. Each cycle tightened performance and kept results consistent.”
Rebekka Goz, Account Manager at Strataigize
Conclusion
Podz performance improved because the inputs were consistent. The team ran a structured testing cadence, maintained ongoing creative iteration, and made budget decisions based on what drove installs efficiently.
Over time, this created compounding gains: stronger creative response, tighter delivery, and a lower blended CPI as scale increased. That system is what supported growth from 1,181 installs in March 2025 to 11,596 installs in January 2026, while reducing CPI from $5.90 to $2.13.