When SaaS Activation Looks Stable Until You Segment It Analysis

Focus:
Python · Pandas · Segmentation · Activation Analytics
 

A Python case study examining how subscription activation quality shifted across referral source and plan tier, despite a stable headline activation rate.
 

Key insight:
The overall activation rate looked stable at 50.92%, but segmentation showed that activation quality varied by referral source and plan tier. The average hid meaningful differences in where stronger activation environments were forming.

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Turning Campaign Metrics Into Budget Decisions

Focus:
Python · Excel Workflow · Budget Review · Campaign Performance

A Python case study showing how campaign metrics were transformed into budget action using ROAS, CPA, profit, and conversion signals.

Key insight:
High spend alone did not determine budget priority. The analysis separated campaigns ready for increased budget from campaigns that needed review, control, or reduction based on performance efficiency.

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