whatsapp-quality

Analyze WhatsApp campaign response latency, conversation depth, and true acquisition costs.

Updated Jul 29, 2026

Search Tags:#analytics #marketing #whatsapp #conversion #lead quality #ctwa

Ready to run

npx skills add https://github.com/akvinayaktiwari/mstack --skill whatsapp-quality

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: whatsapp-quality
Source: https://github.com/akvinayaktiwari/mstack/tree/main/whatsapp-quality
Command: npx skills add https://github.com/akvinayaktiwari/mstack --skill whatsapp-quality

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jq.

What problem does it solve?

This skill addresses the hidden inefficiencies in Click-to-WhatsApp (CTWA) campaigns where high conversation volume masks poor lead quality, slow response times, and missed conversion opportunities.

Core Features & Use Cases

Response Time Analysis: Measures the gap between customer messages and human replies to identify staffing bottlenecks.
Conversation Depth Tracking: Evaluates the quality of interactions by tracking message exchanges and intent.
True Cost Calculation: Computes the actual cost per qualified lead by factoring in messaging costs and response rates, providing a clearer picture than standard ad platform metrics.

Quick Start

Ask the whatsapp-quality skill to analyze the response time and conversation depth for my recent WhatsApp ad campaign.

Frequently Asked Questions about whatsapp-quality

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I measure true acquisition costs for Click-to-WhatsApp campaigns?▼

Measure true acquisition costs for Click-to-WhatsApp campaigns by factoring in messaging costs alongside response rates to compute the actual cost per qualified lead. This reveals true performance beyond standard ad platform metrics.

How can I analyze WhatsApp lead quality and conversation depth?▼

Analyze WhatsApp lead quality by evaluating conversation depth, tracking message exchanges and customer intent. This process identifies whether interactions are meaningful or just high volume masking poor lead quality.

What is the best way to track response latency in WhatsApp messaging campaigns?▼

Track response latency in WhatsApp messaging campaigns by measuring the exact gap between customer messages and human replies. This identifies staffing bottlenecks and helps optimize response times for better lead conversion.

Do I need local MStack state to analyze WhatsApp ad performance?▼

You need local MStack state and account configuration to analyze WhatsApp ad performance. This access is required for the skill to perform attribution and generate accurate performance reporting for your campaigns.

Why does high WhatsApp conversation volume result in poor lead conversion?▼

High WhatsApp conversation volume often results in poor lead conversion because high traffic masks slow response times and low interaction quality. Analyzing conversation depth and true costs exposes these hidden inefficiencies.

Does this WhatsApp analytics tool require any specific dependencies?▼

This WhatsApp analytics tool requires jq as a dependency to process data. It leverages jq alongside local account configurations to evaluate metrics and perform detailed attribution reporting.