Sistema automático de atribución y análisis de llamadas desde Google Ads + Zadarma + IA

@WebChapters

Hello, I am excited about the opportunity to develop a system that automates keyword attribution and lead qualification for your specialized auto repair business. Here's how I plan to approach your project: 1. Implementing a robust attribution system to track and store all necessary call data. 2. Utilizing Python to integrate Zadarma and OpenAI for seamless call analysis and lead classification. 3. Ensuring accurate offline conversion tracking to Google Ads, with a focus on preventing duplicates and maximizing ROI. To tailor the solution perfectly, could you share more about the specific criteria you have for a "qualified lead"? What timeline are you aiming for to have this system up and running? Additionally, do you have any existing KPIs or benchmarks for evaluating the system's performance? I'm looking forward to creating a solution that enhances your advertising efficiency and profitability. Best regards, Azeem Amin

@OutsourceMan

⭐⭐⭐⭐⭐ Proponemos una arquitectura robusta en Python sobre VPS Ubuntu 22.04, combinando Google Ads API, API de Zadarma y OpenAI, orquestada vía cron/webhook secuencial y, si se desea, flujos controlados en n8n auto-hosteado. FASE 1: Implementamos captura de GCLID mediante auto-tagging y almacenamiento en WordPress (hook + DB MySQL/PostgreSQL). Asociamos GCLID, keyword, campaña y ad group al teléfono mediante tabla de atribución y registro de llamadas (fecha, duración, caller ID). Sistema anti-duplicado y logs detallados. FASE 2: Listener consulta API de Zadarma, obtiene transcripción y la envía a OpenAI. Clasificación configurable (negativo, informativo, cualificado) con score, resumen y criterios como cita, presupuesto, modelo BMW/Audi/Mercedes/Land Rover y confirmación de visita. Guardado estructurado + cumplimiento GDPR. FASE 3: Si es lead cualificado y GCLID válido, enviamos conversión offline a Google Ads con control de duplicados, valor dinámico y registro de envío. CnELIndia lidera backend, base de datos, seguridad y documentación; Raman Ladhani gestiona Google Ads API, estrategia de conversión y validación en entorno real hasta visualizar ROAS real por keyword.

@softsolution2000

I have reviewed the project requirements for "Sistema automático de atribución y análisis de llamadas desde Google Ads + Zadarma + IA" and believe that my skills in Python, Project Management, Google Adwords, WordPress, and VoIP are a perfect match. I am confident that I can deliver the automated system you are looking for. Let's discuss the full scope to adjust the budget accordingly. My priority is to ensure this project fits within your budget. Please go through my profile with 15 years of experience, showcasing my commitment to client satisfaction. Let's discuss the job details and get started right away. Looking forward to your response.

@ZohaibRoy

⭐⭐⭐⭐⭐ Create an Automated System for Google Ads Call Tracking ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for an automated system to track Google Ads calls. You don’t need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for call tracking systems. I will create a solution that captures keywords, analyzes conversations, and sends offline conversions based on call outcomes, all within your budget. ➡️ Why Me? I can easily build your automated call tracking system as I have 5 years of experience in Python backend development, Google Ads API integration, and advanced attribution systems. My expertise includes API integration, data analysis, and database management. Additionally, I have a strong grip on technologies like VoIP systems and OpenAI API. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I look forward to discussing this with you in our chat. ➡️ Skills & Experience: ✅ Python Development ✅ Google Ads API ✅ VoIP Integration ✅ Data Analysis ✅ MySQL/PostgreSQL ✅ OpenAI API ✅ API Integration ✅ Automated Systems ✅ Script Documentation ✅ GDPR Compliance ✅ Call Tracking ✅ Conversion Management Waiting for your response! Best Regards, Zohaib

@techplusintl

Hi there, I understand that you are looking to develop an automated system to track and analyze calls generated from Google Ads for your specialized workshop in Madrid. This project involves capturing keyword attribution, analyzing conversations, and sending offline conversions to Google Ads based on lead quality. I propose to implement this in Python, utilizing the Zadarma API for call detection and transcription. The system will classify leads based on configurable criteria and store relevant data in a MySQL or PostgreSQL database. I prioritize reliability and clear communication throughout the project. You can expect thorough documentation and a step-by-step installation script for your VPS. I will ensure compliance with GDPR and provide detailed logs to avoid duplicates. I am confident in delivering a robust solution that meets your needs. Looking forward to discussing this further. Burhan Ahmad TechPlus

@Herculesz

Hi I can build a full Python-based attribution system that links each Google Ads keyword to real qualified phone leads by combining Zadarma’s call data with OpenAI-powered conversation analysis. I’ve previously developed offline conversion pipelines using GCLID tracking, Ads API integrations, and automated lead scoring models for high-volume service businesses. The main technical challenge is reliably matching each call to its originating keyword and preventing false conversions, and I solve this through structured GCLID capture, anti-duplicate logic, and sequential processing with detailed logs. The system will ingest Zadarma webhooks, analyze transcriptions with OpenAI, classify intent, and store all metadata in a clean SQL database. When a call is truly qualified, it will send a validated offline conversion to Google Ads with the correct timestamp and configured value. All code will be fully documented, GDPR-compliant, installable on Ubuntu, and designed for long-term maintainability. I can also add an optional web panel or Data Studio dashboard for visibility across calls and lead quality. Thanks, Hercules

@juanjosec63

Hola, Me entusiasma la oportunidad de contribuir a tu proyecto. Con experiencia sólida en Python, integración de APIs y conversiones offline de Google Ads, puedo diseñar e implementar el sistema completo para atribuir llamadas a keyword (GCLID/campaña/grupo), analizar automáticamente transcripciones/gravaciones de Zadarma con OpenAI y enviar conversiones offline solo cuando la llamada sea un lead cualificado, con anti-duplicados, logs detallados y cumplimiento GDPR. Lo adaptaré a tu stack (VPS Ubuntu 22.04 + WordPress, sin Make) usando ejecución automática por cron/webhook/listener y una base de datos ligera y bien estructurada, entregando además script de instalación, documentación paso a paso y un flujo probado en entorno real para medir coste por lead y ROAS por palabra clave. Puedes esperar comunicación clara, implementación cuidadosa y un sistema mantenible que tu equipo pueda operar sin dependencia externa. Saludos, Juan

@codefusion53

Hi I can build the full automated call attribution and AI qualification system you described using Python on your Ubuntu VPS, with optional n8n self hosted for orchestration, and no Make. The outcome will be clear keyword level profitability by linking Google Ads click data to Zadarma calls, analyzing each conversation, and sending offline conversions only when the call is truly qualified. I will implement a reliable attribution layer to capture and store GCLID, keyword, campaign, and ad group, then match it to each call and caller phone with a clean database schema and detailed logs. Next, the system will watch Zadarma for new calls, pull the transcription or recording, generate a transcript when needed, and send it to the OpenAI API to classify the call as negative, informational, or qualified with a configurable intent score and summary saved per call. When a call is qualified, the system will submit an offline conversion to Google Ads using the exact call timestamp, conversion action name, and an estimated value you set. It will include strict anti duplicate controls, reject missing or invalid GCLIDs, and keep an audit log for every send attempt. Everything will be documented with an install script, maintenance guide, and GDPR aligned data handling practices. Best, Justin

@abhisaini0188

Hello, Thank you so much for posting this opportunity. It sounds like a great fit, and I’d love to be part of it! I’ve worked on similar projects before, and I’m confident I can bring real value to your project. I’m passionate about what I do and always aim to deliver work that’s not only high-quality but also makes things easier and smoother for my clients. Feel free to take a quick look at my profile to see some of the work I’ve done in the past. If it feels like a good match, I’d be happy to chat further about your project and how I can help bring it to life. I’m available to get started right away and will give this project my full attention from day one. Let’s connect and see how we can make this a success together! Looking forward to hearing from you soon. With Regards! Abhishek Saini

@Tanmoy236

Warm greetings! I specialize in advanced attribution systems and backend automation for Google Ads, building production-grade pipelines that connect VoIP, AI classification, and offline conversions with precision. Here’s how I can help: • Implement GCLID capture + keyword attribution (Google forwarding or custom DB mapping) • Build Python service on Ubuntu (cron/webhook listener) integrating Zadarma API • AI-based call classification via OpenAI with configurable intent scoring • Automated offline conversion upload via Google Ads API (deduplicated, logged, GDPR-compliant) • Structured DB (PostgreSQL/MySQL), full logging, sequential processing, and documentation Our team of 62 professionals brings 9+ years’ experience in Google Ads API, attribution modeling, backend Python systems, and production VPS deployments. I propose starting with a technical architecture blueprint + data model design, then phased implementation (Attribution → AI Analysis → Offline Conversions) to ensure clean tracking from day one.

@webmasters486

As a dedicated AI specialist with significant experience in several areas of focus related to your project, I am confident that I can build the automated system you seek. Having worked with Google Ads and its APIs extensively, I am well-versed in offline conversions and attribute them effectively. My deep understanding of conversion generation will add significant value to your project by ensuring accurate and lucrative lead identification. Moreover, my proficiency in Python and familiarity with platforms like n8n aligns perfectly with your preference. I can leverage these technologies to create an efficient and highly-secure system that handles call analysis smoothly while adhering to GDPR guidelines. With a commitment to detailed documentation and reliable maintenance, I can assure you that my deliverables, including a structured database and thoroughly-tested code for VPS Ubuntu, will align seamlessly with your existing infrastructure. To truly elevate your system capabilities, I can also develop an optional user-friendly web panel or Google Data Studio dashboard to visualize call data effectively. This will empower you to optimize future campaigns intelligently through Smart Bidding, ultimately enhancing your ROAS by understanding real-time cost per lead statistics. With unwavering dedication to meeting project timelines and exceeding client expectations while maintaining 100% customer satisfaction rate, I am the ideal freelancer for this task.

@enervell

Hola, He leído tu proyecto sobre el sistema automático de atribución y análisis de llamadas con gran interés. Estoy convencido de que puedo proporcionar una solución adecuada para satisfacer tus necesidades. Con más de 5 años de experiencia en integración de APIs y desarrollo en Python, he creado sistemas similares que permiten identificar palabras clave de Google Ads de manera efectiva y analizar llamadas mediante IA. Por ejemplo, en un proyecto anterior, implementé un sistema que utilizaba grabaciones de VoIP para evaluar la calidad de los leads, optimizando las campañas y aumentando el retorno de inversión. Mi enfoque sería: 1. Captura de datos de atribución (GCLID, Keywords). 2. Análisis automático de la conversación con OpenAI para clasificar leads. 3. Envío de conversiones offline solo si se cumplen los criterios de calidad. Además, cumplo con todas las normativas de GDPR y puedo entregar un sistema robusto, bien documentado y probado. Gracias, Luis

@johnallenvillan1

Hola, estoy emocionado de presentar mi propuesta para desarrollar el sistema automatizado solicitado que atribuirá y analizará llamadas desde Google Ads, Zadarma y IA para el taller especializado en BMW, Audi, Mercedes y Land Rover en Madrid. Con mi experiencia en Google Ads API, conversiones offline y Python backend, garantizo un desarrollo eficiente y preciso. Mi enfoque incluirá la captura de atribución, análisis automático de conversación y envío de conversiones offline, optimizando así la rentabilidad por palabra clave. ¿Cómo te gustaría proceder con este proyecto tan interesante?

@mobiwebsolutions

¡Hola! Objetivo del proyecto: Desarrollar un sistema totalmente automatizado de atribución y análisis de llamadas con IA que conecte Google Ads, Zadarma y Python para medir la rentabilidad real de las palabras clave. He revisado cuidadosamente su arquitectura de tres fases, que abarca la captura de GCLID, la atribución de palabras clave, el análisis automatizado de llamadas mediante OpenAI y la subida de conversiones offline a Google Ads con lógica antiduplicado, registros, ejecución cron y cumplimiento del RGPD en un VPS Ubuntu. Se comprende claramente el requisito de procesamiento secuencial e implementación documentada basada en Python. Con más de 9 años de experiencia como desarrollador full stack, me especializo en integraciones de API y sistemas avanzados de atribución. 1. Captura de GCLID y almacenamiento estructurado en bases de datos MySQL o PostgreSQL 2. Análisis automatizado de transcripciones con clasificación y puntuación de IA 3. Subida segura de conversiones offline con registro y control de duplicados Entregaré código backend documentado, gestión de bases de datos, pruebas en entornos reales, script de instalación para VPS y el código fuente completo una vez finalizado. He desarrollado sistemas similares de calificación de leads basados ​​en IA y API de Google Ads. Espero poder hablar contigo para cerrar un trato. Saludos cordiales, ¡Elisha Mariam!

@Gilsaydith

❤️Hi, sir❤️ where I built Python based call attribution systems linking Google Ads keywords to VoIP calls, offline conversions, and ROI tracking using GCLID and Ads API. I have strong experience with Zadarma style VoIP APIs, OpenAI call analysis, n8n self hosted workflows, MySQL or PostgreSQL, and GDPR compliant logging on Ubuntu VPS. Sir will receive a fully automated, documented solution with anti duplicate logic, cron or webhook execution, tested offline conversion uploads, and optional call monitoring dashboard. I look forward to working with sir.

@vishal1145

Your Zadarma-to-Ads attribution system will fail if you don't handle GCLID expiration correctly. Google's conversion window is 90 days, but if your database doesn't timestamp the click event properly, you'll send conversions that Google rejects silently. Before architecting this, I need clarity on two things: Does your WordPress site currently capture GCLID in forms or cookies, or are we building that layer from scratch? And what's your average call volume per day - 50 or 500? This determines whether we use webhook listeners or batch processing with cron. Here's the architectural approach: - PYTHON + FASTAPI: Build a webhook listener that receives Zadarma call events in real-time, matches phone numbers to GCLID records in PostgreSQL, and triggers OpenAI analysis within 60 seconds of call completion. - GOOGLE ADS API + OFFLINE CONVERSIONS: Implement OAuth2 authentication with refresh token handling and send conversions using the exact GCLID format Google requires, including conversion_date_time in UTC and gclid_date_time_pair to prevent rejection. - OPENAI API + PROMPT ENGINEERING: Design a classification prompt that extracts intent signals like "quiero cita", "cuánto cuesta", or specific car models, returning structured JSON with lead_score (0-100) and reasoning to avoid false positives. - POSTGRESQL + ANTI-DUPLICATE LOGIC: Create indexed tables linking phone_number → gclid → conversion_sent with unique constraints to prevent sending the same lead twice if Zadarma fires duplicate webhooks. - N8N FALLBACK WORKFLOW: Deploy n8n on your VPS as a backup system that polls Zadarma API every 5 minutes if webhooks fail, ensuring zero data loss during API downtime. I've built similar attribution systems for 2 automotive clients where we reduced wasted ad spend by 40% by filtering out "¿están abiertos?" calls. I don't take on projects where GCLID tracking isn't bulletproof - let's schedule a 20-minute call to walk through your current WordPress setup and confirm Zadarma's webhook reliability before I commit to delivery timelines.

@nutankumarftp

As a highly experienced and trailblazing full-stack web developer, I have 10+ years of proven expertise in data management, web development, and the particular WordPress platform that drives your current website. Moreover, my well-honed Python coding skills will prove invaluable given your technical preferences for this project. Not only will I build a fully functional system that ties together Google Ads, Zadarma VoIP, automated transcription, and OpenAI analysis to classify and attribute calls according to their commercial intent, but I'll also ensure the system is seamless and scalable enough for future Smart Bidding optimization efforts. Furthermore, I aim to deliver not just the project but also detailed documentation including an installation script and a structured database alongside functional code and even a maintenance manual to foster efficient post-delivery management. Choosing me means choosing reliable expertise steeped in customer-centric solutions—let's actualize your digital vision together!"

@jovicaa

Tengo experiencia desarrollando sistemas de atribución avanzada y automatización con Google Ads API, OpenAI y backend en Python sobre VPS Linux. Puedo construir la arquitectura completa en 3 fases: • Captura y almacenamiento de GCLID + keyword + datos de llamada • Integración con API de Zadarma + análisis automático con OpenAI (clasificación, score y resumen) • Envío de conversiones offline a Google Ads con control anti-duplicado y logs detallados La solución será secuencial, documentada, compatible con Ubuntu 22.04 y preparada para ejecución por cron/webhook. Entregaré código funcional, base de datos estructurada y manual de mantenimiento. Podemos añadir panel web básico si lo deseas.

@sonika1419

**DO NOT PAY ME UNTIL I COMPLETE! :)** Hello my valuable client :) My profile is new over here but I have 7 years of experience in this field. I have completely understood about your project. Also I will provide you free maintenance on your project for 1 year after project completion. I can definitely complete this in your timeframe. Give me one chance to prove myself. Hit the chat button to get started. If you will not like my work then you dont need to pay me any money so dont worry and have faith in me :) I am eagerly waiting for your message.