Data & Analytics
See where users drop off and why.
ZeroTwo builds conversion funnels from raw event data in your Postgres or MySQL database, identifies which step has the steepest drop-off, and compares feature adoption between users who convert and those who don't.
What changes
Depth of analysis
Funnel chart shows where users drop, not why
Behavioral comparison showing which features and actions differentiate converters
Segmentation
One segment at a time, each requiring a new chart
Every segment computed in one run: channel, plan, device, cohort
Auditability
A chart with no source code or query behind it
Every query and every line of analysis code visible and editable
Actionability
'Activation is 34%.' OK, but what do we do?
Specific features and actions ranked by how much they differentiate converters
Activation is 34%. The product team wants to know why.
Your analytics tool shows the funnel chart. You can see where users drop off. But the chart doesn't tell you why. Getting from 'Step 2 has a 60% drop-off' to 'users who complete onboarding within 24 hours convert at 3x the rate' requires SQL, notebooks, and a full day of analysis.
Every time the product team ships a change, they want a fresh funnel analysis with new segments. Each request means rebuilding the queries, reformatting the output, and presenting findings that are already a week old by the time they land.
How ZeroTwo analyzes your funnel and user behavior
Pulls signup, interaction, and activation events
NeonEvents grouped by user ID for the analysis window. SQL visible in the execution log.
Builds a step-by-step conversion funnel
GoogleComputes conversion rates at each stage, identifies steepest drop-off, segments by channel, plan type, device.
Ranks behaviors that separate converters from non-converters
GoogleComputes adoption rates for each feature, ranks differences by effect size.
Posts top findings to your channel
SlackDelivers funnel step drop info, differentiating behaviors, segment variations with full data and code.
Get started in under 10 minutes
Connect your tools
One-click OAuth for each integration. No API keys, no engineering.
Describe what you need
“Analyze our signup-to-activation funnel: landed on pricing, started trial, created first project, invited a teammate. Show where users drop off and compare conversion rates by referral source.”
It runs on schedule
Updated analysis lands in your team channel every month, with on-demand reruns after product changes.
Frequently asked questions
ZeroTwo runs against your raw event data with your definitions, so you're not limited by what your analytics tool tracks or how it segments. The analysis runs as code you can inspect, edit, and extend.
For each tracked feature or event, ZeroTwo computes the adoption rate among converters and non-converters, then ranks the differences by effect size.
Yes. Every SQL query and every line of Python analysis code is visible. You can edit the funnel steps, adjust the comparison logic, or add segments and rerun.
Yes. Trigger a rerun with a date filter: 'compare funnel conversion for users who signed up before vs. after March 1.'
Related workflows
- Data & AnalyticsCohort Retention Analysis
- Data & AnalyticsAutomated KPI Report
- Data & AnalyticsCustom Dataset Builder
Stop doing the work your tools should do for you.
Set it up once. ZeroTwo runs it every time.