Budget: 1500 UAH Deadline: 3 days
Volodymyr, I see the task as building a reliable scheme: webhook → raw log → mapping of fields/statuses → normalization → cohort report by lead creation date. I haven't created similar A/B dashboards with CRM data, but I am well acquainted with log structure, automation, and real-time data handling. For the MVP, I would suggest Google Sheets + Make or n8n; for greater flexibility — Python + Looker Studio. I can show similar approaches and discuss the architecture.
Budget: 6000 UAH Deadline: 7 days
Hello! Your project is my stack: Make.com + webhook + Google Sheets.
What you will get:
You will see not just the number of leads but real sales - compare options A and B by revenue and ROI.
No manual data aggregation - the system automatically collects and normalizes all events from the CRM.
The template works with any CRM without rework - just change the field mapping.
Advertising budget decisions based on data, not feelings.
From experience: I have built webhook systems with automatic data processing and storage in Google Sheets.
Cost: we will discuss after clarifying the details. Ready for MVP in 5-7 days.
Budget: 1000 UAH Deadline: 7 days
Hello,
I understood the task — webhook from CRM → normalization + mapping → cohort A/B report by lead creation date (not by final status date) with metrics CPA / ROAS / ROI / quality leads / completed sales.
Answers to your questions:
1. **Have I done similar reports on CRM data:** yes — webhook receivers for KeyCRM and Pipedrive, event parsing, normalization into a single schema, BI shapes on top of this.
2. **Have I worked with webhook:** regularly. On the receiving end — Python (FastAPI) or n8n node; both are functional.
3. **What would I recommend for MVP:** it depends on how many leads per day and whether the system will scale to many projects. Honest breakdown:
- **up to 100 leads/day, 1–3 projects:** Google Sheets + Make + Apps Script. Can be set up in a week, the client can see the data themselves, sufficient for A/B.
- **100–1000 leads/day and/or several CRMs:** webhook → Python FastAPI receiver → Postgres → Looker Studio on View. Field mapping lives in the Postgres table `field_mapping`, you edit it without code when connecting a new CRM. MVP — 1.5–2 weeks.
- **n8n** — a compromise between the first two, but with 5–10 CRMs of different structures, it will hit no-code limitations; I would choose the Python option.
Architecture for the Python option:
- `Raw Events Log` — append-only table, each webhook row as JSON.
- `Field Mapping` — dictionary `(crm_name, src_path) → (std_field, transform_fn)`.
- `Normalized Leads` — materialized view or daily batch (for 1000/day — view will suffice).
- `Cohort Report` — SQL with window functions, by `date_trunc('day', created_at)`.
Budget: 1500 UAH Deadline: 1 day
Hello!
Webhook integrations, CRM data processing, and analytical reports are our specialty.
About the project:
Webhook receiver — FastAPI server receives events from any CRM, stores Raw Events Log in PostgreSQL/SQLite.
Field Mapping — config file for each CRM: key names, statuses, structure. New project — new mapping without changing the code.
Normalized Leads — one line per lead, all statuses tracked by creation date (cohort logic as you described).
A/B Dashboard — automatic calculation of CPA, ROAS, ROI, quality vs all leads, comparison of options A and B.
MVP — I propose Python + FastAPI + Google Sheets (via API). More reliable than Make, more flexible than n8n, and Sheets is convenient for viewing reports without additional tools.
Ready to start immediately.
Budget: 5000 UAH Deadline: 1 day
Good day. I am ready to complete this project as I have extensive experience in app development.
Budget: 2000 UAH Deadline: 3 days
Hello! I have reviewed the project and am ready to start working. I am confident you will be satisfied with the result.
Budget: 8000 UAH Deadline: 10 days
Hello! I am ready to complete your task, I have experience working on similar projects.
Budget: 1000 UAH Deadline: 1 day
Good day, I am writing on behalf of the company Devoxen. We specialize in such tasks. We have extensive experience in building analytics systems for CRMs, advertising platforms, and automating reporting. We have worked with webhook integrations, data normalization, status mapping between different CRMs, and building cohort/A-B reports with the correct metric attribution to the lead creation date. We have also implemented automated pipelines using Make, n8n, Python backend, and BI solutions.
For the MVP, we can offer a solution using Google Sheets + webhook receiver + Make/n8n for a quick launch, and then scale towards Looker Studio, Power BI, or a separate backend service with a database and dashboard if necessary. We can design a universal structure for Raw Events Log, Field Mapping, Normalized Leads, Cohort Report, and A/B Dashboard considering various CRMs and non-standard webhook structures.
We can proceed without unnecessary questions and time wastage. We also provide a guarantee and support if desired. We can start working on your project immediately after discussing the technical specifications.
I suggest moving to private messages for a more detailed dialogue.
Budget: 4500 UAH Deadline: 10 days
Hello, Volodymyr!
I am implementing a flexible A/B testing analytics system based on Make.com and Google Sheets. This is an ideal stack for an MVP that allows easy mapping of data from any CRM.
I will set up a webhook receiver so that each event goes into the log, and the final report calculates ROI and ROAS specifically based on the lead creation date. You will receive a transparent dashboard showing the actual profit from each Meta Ads creative. This will allow you to timely stop ineffective campaigns and scale profitable connections.
I have experience building similar end-to-end analytics and working with API/webhook. Could you let me know which CRM you are currently using?
Budget: 8000 UAH Deadline: 7 days
Good day!
I am a no-code automator, specializing in automating various business processes through the service Make.com.
Answers to your questions:
1. I have created a custom CRM system in Airtable for sales and a dashboard for comparing and visualizing data.
2. Yes, I have practical experience working with webhooks from various CRM systems.
3. For the MVP, I propose the Make.com stack, a template in Google Sheets or Airtable.
4. Examples of implemented automations for comparing reports from Meta and Google Ads, as well as CRM automation with a dashboard.
Links:
https://freelancehunt.com/showcase/work/avtomatizatsiya-facebook-ads-zvitiv/2028169.html
https://freelancehunt.com/showcase/work/rozrobka-analitichnogo-dashbordu-dlya-crm-sistemi/2034584.html
Feel free to reach out, and we can discuss the details, possible implementation options, and costs.))
Budget: 10000 UAH Deadline: 5 days
Hello, Volodymyr!
I have already worked on such tasks in the format of marketing analytics automation based on CRM + advertising data, including webhook events, lead normalization, and report generation for A/B tests.
For the MVP, I see several implementation options (depending on your requirements for flexibility and scalability):
- a quick option through Google Sheets + automation of webhook logic;
- a more reliable option with an intermediate data processing layer and subsequent visualization.
To accurately assess the scope, I need to clarify:
- which CRM you are currently working with (or planning to use several);
- whether there is already a Meta Ads structure with UTM / event tracking;
- what the monthly lead volume is;
- whether you only need an MVP or a system designed for scalability.
After this, I will be able to propose a specific architecture, timelines, and budget for your scenario.
Budget: 6000 UAH Deadline: 4 days
Good day! I have had similar projects, but not based on data from the CRM itself, but I understand how to implement this MVP based on Google Sheets!!! Feel free to reach out!!!!
Proposals are currently absent
Proposals concealed
Budget: 27000 UAH Deadline: 30 days
I am implementing a flexible cohort reporting template based on Google Sheets + n8n/Make, where the logic of field mapping will allow comparing ROI/ROAS of A/B test variants by lead creation date, rather than final status.
What method do you plan to use to address the issue of event duplication and retrospective status changes in the CRM, so that when the webhook is triggered again after two weeks, the data in the cohort from May 1st is updated automatically, rather than creating new rows that "kill" the accuracy of ROI in 90% of similar MVP solutions?
Budget and architecture of Normalized Leads are in personal correspondence. 🤝
Budget: 27000 UAH Deadline: 30 days
Good day! I represent a software development team, please message me privately to discuss in more detail.
Budget: 14000 UAH Deadline: 14 days
I specialize not just in creating tables or integrations, but in building stable data-driven solutions where it is crucial to correctly link webhook events, CRM statuses, advertising expenses, and final business analytics. In your case, the key advantage is the proper architecture of the system, as different CRMs can have completely different structures of fields, statuses, and webhook payloads.
I can implement a universal template that will scale for different projects without the need to completely rebuild the system for each CRM. A Field Mapping logic will be created to normalize keys, statuses, and events into a standard structure. This will allow for automatic conversion of data from various CRMs into a single format and build accurate cohort analytics. Special attention will be paid to the correct calculation of metrics based on the lead creation date, rather than the final status date, as this critically affects the reliability of CPA, ROAS, ROI, and the assessment of advertising test effectiveness.
For the MVP, I would recommend Google Sheets in conjunction with Make or a webhook receiver, as this allows for quickly obtaining a transparent and manageable system without overloading the infrastructure. If greater scalability or performance is needed, the system can be migrated to Python, PostgreSQL, Looker Studio, or Power BI without losing logic. I will also implement the structure for Raw Events Log, Normalized Leads, Cohort Report, and A/B Dashboard with automatic updates of metrics and control of lead statuses in progress.
Work plan:
1. Analyze the structure of the CRM and webhook payload
2. Design a universal system for mapping fields and statuses
3. Implement Raw Events Log to save all events
4. Normalize leads into a standard structure
5. Build cohort logic based on the lead creation date
6. Integrate Meta Ads expenses and CRM results
7. Calculate CPA, ROAS, ROI, and conversion metrics
8. Create A/B Dashboard for test comparisons
9. Test the correctness of webhooks and final reports
10. Prepare MVP for scaling to other CRMs and projects.
Proposals concealed
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