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Funnel Analyzer

$29

Analyze conversion funnels with step-by-step rates, drop-off points, cohort comparison, and time-to-convert metrics.

📁 10 files

JSONMarkdownPython

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📁 File Structure 10 files

funnel-analyzer/ ├── LICENSE ├── README.md ├── examples/ │ └── sample_funnel.json ├── free-sample.zip ├── guide/ │ ├── 01_features.md │ ├── 02_quick-start.md │ ├── 03_output-example.md │ └── 04_license.md ├── index.html └── src/ └── funnel_analyzer.py

📖 Documentation Preview README excerpt

Funnel Analyzer

Analyze conversion funnels: step-by-step conversion rates, drop-off points, cohort comparison, and time-to-convert metrics. Find where users bail and fix your flow.

Features

Step-by-step analysis — Conversion rate between each funnel step
Drop-off detection — Exact numbers and percentages of users lost at each step
Overall conversion — End-to-end funnel conversion rate
Time-to-convert — Average time from funnel entry to each step
Cohort comparison — Compare funnel performance across user segments
Visual bar report — ASCII bar chart showing funnel shape
JSON/CSV input — Works with any event data format
JSON output — Machine-readable results for dashboards

Requirements

Python 3.10+
No external dependencies (stdlib only)

Quick Start


# Analyze a funnel
python src/funnel_analyzer.py --events examples/sample_funnel.json \
    --steps "page_view,signup,activate,purchase"

# Compare cohorts
python src/funnel_analyzer.py --events examples/sample_funnel.json \
    --steps "page_view,signup,purchase" --cohort source

# Export results
python src/funnel_analyzer.py --events data.json \
    --steps "visit,signup,activate" --output results.json

Event Data Format

Events should be a JSON array of objects:


[
    {"event_name": "page_view", "user_id": "u1", "timestamp": "2026-01-01T10:00:00Z"},
    {"event_name": "signup",    "user_id": "u1", "timestamp": "2026-01-01T10:05:00Z"},
    {"event_name": "activate",  "user_id": "u1", "timestamp": "2026-01-01T10:30:00Z"}
]

Output Example


============================================================
  FUNNEL: Conversion Funnel
============================================================
  Entered: 150  |  Converted: 23
  Overall conversion: 15.3%
============================================================

  Step 1: page_view
    [########################################]    150 (100.0%)

*... continues with setup instructions, usage examples, and more.*

📄 Code Sample .py preview

src/funnel_analyzer.py #!/usr/bin/env python3 """ Funnel Analyzer — Analytics Hub (DataNest) Analyzes conversion funnels: step-by-step conversion rates, drop-off points, cohort comparison, and time-to-convert metrics. Feed it event data and discover where users bail. Usage: python funnel_analyzer.py --events events.json --steps "visit,signup,activate,purchase" python funnel_analyzer.py --config funnel_config.json --output report.json Dependencies: Python 3.10+ stdlib only (no pip packages) License: MIT """ from __future__ import annotations import argparse import csv import json import logging import sys from collections import defaultdict from dataclasses import asdict, dataclass, field from datetime import datetime, timezone from pathlib import Path from typing import Any # --------------------------------------------------------------------------- # Constants # --------------------------------------------------------------------------- logger = logging.getLogger("funnel_analyzer") # --------------------------------------------------------------------------- # Data models # --------------------------------------------------------------------------- @dataclass class FunnelStep: """A single step in a conversion funnel.""" name: str count: int = 0 conversion_rate: float = 0.0 # Rate from previous step (0-100) overall_rate: float = 0.0 # Rate from first step (0-100) drop_off: int = 0 # Users who didn't continue to next step drop_off_rate: float = 0.0 avg_time_to_step: float = 0.0 # Average seconds from funnel entry # ... 353 more lines ...

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