Checkout Abandonment Reason Taxonomy & Exit Survey System
Stop guessing why shoppers abandon your cart. Capture exact reasons with an open taxonomy and lightweight exit-intent micro-survey.
Problem it addresses
Create an open-source cart abandonment diagnostic system: 1) Standardized 12-factor abandonment taxonomy tailored to regional commerce (unexpected shipping fees, lack of COD/Tabby, address form complexity, slow delivery, trust doubts), 2) Zero-dependency lightweight HTML/JS exit survey modal (exit_survey.js), 3) Step-by-step remediation strategies for each abandonment trigger.
Who it is for
BOTH operating in high-growth e-commerce, digital publishing, and direct-response marketing across Saudi Arabia, UAE, and Egypt.
What is inside
Key files listed in the README repository architecture:
components/exit_survey.csscomponents/exit_survey.jsexamples/survey-results-analysis.csvexamples/survey-results-salla-store.mdLICENSEplaybooks/cod-vs-prepaid-interventions.mdplaybooks/remediation-action-plan.mdREADME.mdscripts/survey_collector.jstaxonomy/abandonment-reasons-12factor.mdtemplates/exit-intent-modal.htmltests/test_data_integrity.py
How to evaluate and use it
- Read the README first and confirm that the documented problem matches your use case.
- Inspect the listed files to find the data, tools, templates, and tests relevant to your task.
- Follow the repository’s Quick Start and check prerequisites before running commands.
- Compare outputs with documented examples and review limitations before using them in a decision or client workflow.
Quick Start from the README: python -m unittest discover -s tests
Scope and limitations
- Exit-Intent Triggering: Desktop exit surveys trigger on mouse velocity heading out of viewport; mobile surveys trigger on back-button popstate events.
- Taxonomy Standardization: Classifies reasons into 5 core buckets (Surprise Shipping Costs, COD Surcharge, Payment Rejection, Need More Time, Trust Concern).
- Non-Intrusive Dismissal: Users who close the survey are suppressed from re-triggering for a configurable period using local storage; align the behavior with consent and privacy requirements.
This page summarizes the available documentation; it does not establish performance or business results. Verify data and prerequisites before use.