Messaging Email system - Analytics end to end.

@AZTURK1

Hi there, I will implement event-level tracking across Sent→Delivered→Opened→Clicked→Unsubscribed/Converted and build Power BI dashboards sourced from one-row-per-event tables; I’ll use SQL-based ETL and strict privacy controls so sensitive messaging data stays confidential and auditable. - Deliverable 1: design and implement event schema (event table + dimensions), SQL transforms (GROUP BY, COUNT DISTINCT, CASE WHEN, date functions) and sample queries for Delivery/Open/CTR metrics - Deliverable 2: Power BI dataset and dashboards with Delivery Rate, Open Rate, CTR, Conversion and Bounce calculations and unique-user vs total-event visuals - Deliverable 3: deployment scripts (ETL SQL / incremental load) and dashboard refresh setup - Risk/QA: backup checkpoint, staged deployment and post-deploy validation Skills: ✅ SQL (SELECT, GROUP BY, joins) ✅ Event table data modeling ✅ COUNT DISTINCT / user vs event analysis ✅ Power BI dataset & dashboard ✅ Email metrics (Delivery/Open/CTR/Conversion/Bounce) ✅ ETL/deployment (incremental loads, scheduled refresh) Certificates: ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ cPanel® & WHM Certified CWSA-2 I’m available to start immediately. Do you want event-level tracking implemented directly in your production database or via a staged event pipeline (e.g., landing into a data lake/staging schema) first? Best regards,

@Nuel24

Hey, let's talk. When you said you need a "confidential messaging analytics system" built "end-to-end," I get it, you’re not looking for someone to just pull numbers, you need a technical architect who can map the full lifecycle from "Sent" to "Converted" while maintaining absolute data integrity and confidentiality. To make sure I build a tracking system that gives your team total clarity, I have a 2 quick questions: Data Volume & Source: Are we pulling these events from a specific ESP/API, or aggregating raw logs from a proprietary server? Real-Time vs. Batch: Do you need a real-time Power BI dashboard for live campaign monitoring, or is a daily/weekly refresh sufficient for your reporting needs? My Process: Data Modeling: I’ll design a robust one-row-per-event table structure, ensuring we can accurately distinguish between unique user behavior and total event noise. SQL Pipeline: I’ll write optimized queries to calculate your core KPIs—Delivery, Open, and CTR—ensuring that "Bounces" are properly filtered to protect your sender reputation. Dashboard Architecture: I’ll build a high-impact Power BI suite that translates raw event logs into actionable business insights, specifically focused on your conversion funnel. Send me a message so we can discuss the specifics of your tech stack and get this system live. Nuel P.S. I’ll pay extra attention to "Attribution Logic", ensuring that a "Click" is correctly mapped to the specific message version that triggered it.

@Danzy262

Hi, I’ll build your end-to-end messaging analytics system with clean data models, accurate SQL analysis, and actionable dashboards. What you’ll get: * Event-level tracking across the full messaging lifecycle * Proper event and dimension table design * SQL queries for unique users, event counts, and funnel analysis * KPI tracking: Delivery Rate, Open Rate, CTR, Conversion, Bounce * Interactive Power BI dashboards for insights and monitoring * Clear business-focused reporting and recommendations I have experience in SQL, data modeling, and Power BI dashboard development for analytics systems. Timeline: first draft within 5–7 days Budget: ₹15,000 INR Ready to start immediately!

@alluankit01

Hi, I can help build the messaging/email analytics system end-to-end, from event tracking structure to SQL logic and Power BI dashboards. I understand the key challenge is making the lifecycle data reliable: Sent, Delivered, Opened, Clicked, Unsubscribed, Bounced, and Converted must be tracked at event level so unique users, total events, rates, and funnel drop-offs are calculated correctly. My approach would be to design clean event and dimension tables, write SQL queries for delivery rate, open rate, CTR, conversion rate, bounce rate, unsubscribe rate, and user-level engagement, then build a dashboard that clearly shows campaign performance and actionable insights. I’m comfortable with SQL joins, CASE logic, date functions, COUNT DISTINCT, Power BI reporting, and handling sensitive business data with confidentiality. I’ll keep the system clean, documented, and easy to extend as new message types or events are added. Best regards Ankit

@sankargan88

I have strong experience in SQL, data modeling, and building analytics dashboards with Power BI. I’ve worked extensively with messaging/event‑level tracking and understand delivery, open, click, and conversion metrics. Happy to connect and collaborate on delivering a high‑quality, confidential analytics solution. ping me to start the discussion and we can start the work quickly