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Fiverr Pro
English
$
USD
I will do saas product analytics and user behavior churn analysis
Data Analyst, Specialist in B2B, B2C SaaS Metrics
I bypass passive, pretty charts to look at data through a strict business lens. I query raw transaction logs and user event data to find hidden operational friction and isolate where your systems drop...
About this Gig
Are you trying to figure out why your SaaS users drop off or what triggers upgrades?
Most tracking dashboards only highlight vanity metrics like daily active users, which completely miss why people actually leave a platform. I skip passive, pretty charts to focus strictly on actionable product analytics. I dive deep into your raw user event logs and database pipelines to map out user behavior patterns and find out exactly where your system is losing value.
What I will deliver for your platform:
Schema Processing: Structuring raw event tracking records and fixing timeline gaps to map out an accurate step-by-step funnel.
Isolation of Activation Benchmarks: Calculating the velocity from signup to the first impactful action to optimize your onboarding flow.
Breaking the Churn Fallacy: Pinpointing why active users suddenly cancel by tracking usage intensity spikes before exits.
Pinpointing Conversion Triggers: Mapping out the exact core workflows (usually 9 to 10 repeat actions) that drive upgrades.
Tech Applied: Advanced SQL & Python.
Please message me with your data structure details before ordering!
My Portfolio
FAQ
What do you need from me to start the analysis?
I need access to your raw user event logs, database schemas, or a CSV export of your user transaction history. If you have specific tracking gaps or tools you currently use, sharing those helps align the delivery.
Do you build live charts in Tableau or Power BI?
No, I focus on backend product analytics and database logic using advanced SQL and Python. My final delivery includes optimized query code scripts and a detailed written report mapping out your exact funnel metrics and behavioral bottlenecks.
Can you analyze my dataset if it contains sensitive user information?
Yes. To protect your user privacy, I highly recommend anonymizing or removing sensitive data columns (like real names, email addresses, or credit card details) before sending the data file over.
