Real Estate Lead Analytics in PowerBI

@shivampanchal

As a seasoned Data Scientist and Machine Learning Expert, I understand the challenges of real estate lead analytics on a deep level. Over the years, I've helped numerous businesses unlock the potential of their data and drive their growth. With expert mastery in Power Query M, DAX, and Power BI Service, I am confident that I can deliver a comprehensive analytics solution for your real-estate lead generation firm. My strength lies in constructing robust and efficient data pipelines and models that simplify complex campaign, lead, and revenue information. My vast experience encompasses automating data extraction from multiple sources such as Google Ads, Meta Ads, and email-marketing platforms along with handling incremental refreshes and error checking to keep your dataset reliable. With a keen eye for visualization design, my Power BI dashboards are known for their clarity and interactivity. From snappy load times for both desktop and mobile users to powerful filters allowing drill-through across dates, campaigns, and developers; my aim is nothing less than providing you actionable insights at your fingertips. Partner with me to transform your raw data into valuable insights that leads your business to success!

@azizva

As a seasoned Power BI Specialist and Data Analyst with eight years of experience, I have successfully used advanced analytical tools to transform raw data into actionable insights. My proficiency in Power Query M, DAX, and the Power BI Service perfectly aligns with the needs of your project. I can expertly handle the seamless data integration and ETL processes you require, enabling daily automated pulls from Google Ads, Meta Ads, and email-marketing platforms for reliable pipeline and accurate data quality check. A key strength I bring is my skill in designing a robust data model that not only follows a star-schema approach, but also ensures an intuitive and high-performing structure for your campaign, lead, and revenue information. Thoughtful DAX calculations are second-nature to me too – calculating CPL, conversion rate, ROAS, commission earned and other business-critical metrics accurately. My measures will return the same results from your existing spreadsheets checks.

@ajamshad162

I'm excited to take on your real estate lead analytics project in Power BI. With over 20 projects under my belt, I have successfully delivered data-driven solutions across various industries, including real estate and marketing, which makes me perfectly aligned to understand the unique needs of your business. Seamless data integration is at the heart of effective analytics, and I assure you that I've got the prowess to automate daily pulls from your various platforms like Google Ads, Meta Ads and Email-marketing with ease. I'm adept at handling incremental refresh, performing error handling and implementing simple yet effective quality checks to guarantee a reliable data pipeline. In terms of data modeling, I understand the importance of designing an intuitive and fast star-schema that maintains cohesive relationships between campaign, lead and revenue information. My experience includes leveraging DAX measures efficiently to calculate important metrics like CPL, conversion rate, ROAS etc., which are critical for your business decisions. It would be my pleasure to create interactive dashboards that align precisely with your requirements, regardless of the device being used.

@Sahyadri96

@SahyadriTech #SahyadriTech Completed Projects: 1. Hotel Booking Management & Tracking System (Excel + VBA Script) 2. Appsheet: ERP system for textile business 3. MNGL Gas Incident Tracker & Dashboard (Google Sheets + Google Data Studio) 4. Daily Expenses Tracker (Google Sheets) 5. Option Scalping Strategy Automation (Excel VBA) 6. Nifty50 Live Option Chain Dashboard (Google Sheets) 7. Binary Trading Sheet (Google Sheets) 8. Customer Data Cleaning & Sorting Tool (Excel VBA & Python) 9. Historical Stock Closing Price Analysis for 2,600 Stocks (Excel & Python) 10. Power Bi dashboard for F1 Car racing insights 11. GOLD Loan tracking in Google sheet and Google Data studio 12. Local Taxi Tracking System (Google Sheets + Google Data Studio) 13. Appsheet Milk Drivers wages and attendance system (Appsheet + Google sheet ) Key Highlights: 1. Pay only if satisfied with the work 2. Expert in Power BI, Excel, VBA Macros, Google Sheets, Google Apps Script, and Python 3. Experience in 3 American MNCs 4. Skilled in Data Analytics, Automation, and Visualization 5. Proficient in Statistical Analysis 6. Offer Long-Term Support for all projects 7. Quick Delivery with multiple revisions I can deliver any project related to Data Analytics, Automation, and Reporting with precision and reliability.

@saadhey

Hello, With 8 years of experience in PHP development, I have a strong background in creating custom web solutions tailored to meet specific needs. I understand your requirement for a comprehensive Power BI solution for real estate lead analytics. I am a Professional Web Developer & Creative Designer with expertise in web development, social media marketing, and management. I am confident in my ability to deliver a seamless data integration process, a robust data model with DAX measures, and an interactive dashboard that meets your criteria. Let's connect in chat to discuss your project further and explore how I can provide a professional solution that aligns with your goals. Best regards

@sudhir0112

Hi, I have recently worked on Power BI dashboard and reporting projects involving marketing data analysis, KPI tracking, Power Query transformations, and interactive business reporting workflows. I understand the importance of building clear, fast, and reliable dashboards that help track campaign performance, lead conversion, acquisition costs, and revenue metrics effectively. I’m comfortable working with Power BI, Power Query, DAX measures, and structured data models to create clean reporting systems with drill-through functionality, slicers, and responsive layouts for both desktop and mobile users. My focus is on delivering dashboards that are accurate, visually organized, and easy to maintain as new campaign data is added over time. I also provide clear communication, regular progress updates, and documentation to ensure the reporting workflow remains understandable and scalable for future expansion. I’m available to discuss the data sources, KPI requirements, and dashboard expectations further.

@alexpatrick

Hi, Your brief reads like someone who has already been burned by half-built dashboards. I have built this exact stack before for marketing-led businesses where every rupee of CPL matters, and I will treat your spreadsheet as the source of truth until the model ties out to it. A few thoughts that show I have actually read the brief: Real-estate lead gen has a long lag between ad click and commission. I will model lead-to-sale with a separate Conversion fact table so ROAS and commission earned can be reported on both lead-creation date and sale-realisation date without double counting. Most builds get this wrong. Google Ads, Meta Ads and email refreshes will run via Power Query M with incremental refresh in the service, retry handling, and a small audit page flagging row drops, schema changes and stale loads, so you see issues before stakeholders do. Star schema with one Date table, conformed campaign and developer dimensions, surrogate keys, no bidirectional relationships. DAX written with variables and measure branching to keep sub-8-second loads even on mobile. Hand-off includes a Loom walkthrough, a one-page model diagram, a DAX cheat sheet for your top measures, and a written runbook for adding a new campaign source or developer without breaking anything. Indicative plan: 10 working days end to end, with a mid-build reconciliation review against your spreadsheet so we catch logic gaps early instead of at sign-off. Ready to start as soon as test access is shared.

@manoval09

Hi, Running commission-based lead gen means every dropped prospect or misattributed source is direct revenue loss — and without clear funnel visibility in Power BI, you're flying blind on which channels actually convert. I'd build the dashboard around a lead-to-commission pipeline: source attribution (portal, referral, direct), stage-by-stage conversion rates, and commission forecasting by property type. For data ingestion, I'd use Power Query's M language to connect directly to your CRM export or Google Sheets feed, with incremental refresh so your numbers stay current without manual uploads. DAX measures for weighted conversion probability and average days-to-close give you the predictive layer most real estate dashboards skip. To start: send me a sample of your current lead data (even a scrubbed CSV) and I'll return a schema mapping and first dashboard mockup within 24 hours so you can validate the direction before any significant time is committed. Best regards, Val

@ammark477

Hello, I can build a complete end-to-end Microsoft Power BI solution for your real-estate lead generation business with automated ETL pipelines, optimized data modeling, and high-performance dashboards tailored for marketing and conversion analytics. • Automated integration from Google Ads, Meta Ads, and email marketing platforms • Reliable ETL workflows with incremental refresh, validation checks, and error handling • Optimized star-schema data model for campaigns, leads, revenue, and commissions • Advanced DAX measures for CPL, Conversion Rate, ROAS, Commission Earned, CAC, and more • Interactive dashboards with drill-through, campaign/date/developer filters, and mobile optimization • Fast-loading reports with performance-focused Power BI Service setup I have experience building marketing and analytics dashboards with strong expertise in Power Query M, DAX, ETL automation, and business intelligence reporting. I will ensure all calculations match your spreadsheet validation checks and provide complete handoff documentation/video covering dataset structure, formulas, refresh setup, and future campaign integration. The final solution will be scalable, easy to maintain, and designed for real business decision-making with daily automated insights. Best regards, Ammar Sajid