Automation of processes through n8n or make

Budget: 10000 UAH Deadline: 1 day

✋ Hello! We are the IT company dZENcode.

We implement agency automation: pipelines in Python/Node.js with scheduling, exporting Meta Ads to Google Sheets, AI-generated reports, and UTM analytics from CRM, based on the team's experience, best practices, and our own developments.

Do you have access to the Meta Ads API and CRM API?
Have the report formats and key metrics already been defined?

You can find detailed information about our services and rates on our website: Freelancehunt.
Take a look – we will discuss the details of the work further, write when you are ready.

The final cost is determined only after clarifying the scope and requirements.

___________________
Sincerely,
Manager of dZENcode

Our strengths:
💎 10+ years providing IT services: Outsourcing, Outstaffing
🔥 90+ in-house specialists
🚀 Projects "from scratch" and for support
⚙️ SLA and post-production support
✅ Contract with the company, guaranteed results!
🔥 250+ public reviews since 2015. Expand

Budget: 22000 UAH Deadline: 7 days

Roman, good day!

I have 3+ years of experience working with n8n/Make for marketing automation. I am ready to set up data export from Facebook Ads to Google Sheets every Monday, generate reports based on the dashboard, and analyze campaign performance by UTM from the CRM.

Can we discuss the details?

Budget: 1111 UAH Deadline: 1 day

Hello Roman!

I can help with the automation of these processes. I have set up similar tasks for marketing teams - in particular, automatic data extraction from advertising accounts, report generation, and campaign analytics.

It is possible to implement weekly automatic data extraction of metrics from Facebook into Google Sheets, so that the table updates without manual work. Based on this data, it is also possible to set up the generation of short reports and basic campaign performance analytics.

Regarding UTM - it is possible to pull data from the CRM and create understandable analytics on sources, campaigns, and results.

I am ready to discuss the details of the tasks and suggest the optimal implementation.

Budget: 700 UAH Deadline: 3 days

Hello! I will implement your project "turnkey" without subscription fees for third-party services.

What I will do:

FB → Sheets: A script in Python/Apps Script for automatic data collection every Monday.

Reports: Setting up templates with automatic KPI calculations and conclusions.

CRM & UTM: I will match expenses from FB with actual sales from CRM to assess ROI.

Budget: 10000 UAH Deadline: 7 days

Good evening. I will do such automation. You will need to pay for the VPS. The price will be provided after the details.

Budget: 5000 UAH Deadline: 5 days

Hello, Roman!

The main thing is to get quality analytics on time.

I can set up automatic export of Facebook metrics to Google Sheets and analytics via UTM. I have extensive experience working with REST API, AI integrations, and building stable data pipelines. I will implement the logic in n8n/Make or through your own microservices for maximum reliability. I will ensure the accuracy of reports and the timeliness of data updates every Monday.

Technically, the workflow will consist of the following stages: authentication in the Facebook Ads API, obtaining the necessary metrics, formatting the data, and writing to the specified Google Sheet. For the analysis of UTM tags and data from CRM, integration via REST API will be implemented, allowing for automatic generation of performance reports.

For report generation, the capabilities of n8n/Make can be used for data processing and basic analysis or integrated with AI/ML models (Google, OpenAI, Anthropic, OpenRouter, Ollama) for deeper analytics and trend detection if needed. The workflow will be designed with reliability and scalability in mind.

Example of work: https://freelancehunt.com/showcase/work/autoga-avtomatizovaniy-daydzhest-novin/2019877.html Expand

Budget: 7000 UAH Deadline: 7 days

Hello, Roman!

I am ready to take on the automation:
- regular data export from Facebook Ads to Google Sheets on a schedule
- generation of auto-reports with key metrics and dynamics
- analytics on UTM tags with data integration from CRM

I will implement it through Make.com (Facebook Insights API → data processing → Google Sheets / CRM).
I will set up the scenario so that the report is generated automatically without manual actions.

I can create a demo version within 1–3 days so you can see the structure of the solution.

Please let me know:
What CRM is being used?
Which metrics are a priority?
In what format is the final report needed (table, dashboard, PDF, Telegram)?

Deadline: 3–7 days
Budget: 5000–7000 UAH (I will clarify after the details)

I would be happy to discuss the task. Expand

Budget: 12000 UAH Deadline: 5 days

Hello, Roman!

The task is clear, just tell me a little more about what reports are needed (but I can make any).

I will do it on n8n, if necessary, I will deploy it on your server and show you how to manage everything.
Regarding the cost: 250-300 dollars, depending on the number and complexity of the reports.
Regarding the timeline: up to 5 days.

Budget: 9000 UAH Deadline: 9 days

Good afternoon, there are already several ready-made modules for this in n8n and make, it can be implemented.

Budget: 18000 UAH Deadline: 7 days

Good day.
I am ready to take your project into work.
I will be able to develop such automations for you using n8n.
Write to me privately, we will discuss all the details and can start the implementation.

Budget: 10000 UAH Deadline: 7 days

Hello, I am ready to complete your project quickly and efficiently, please write to discuss the details.

Budget: 4000 UAH Deadline: 4 days

Good day

I specialize in automations through the Make.com service and have experience in building various automation systems.
Here’s how I will implement your tasks through Make:
1. Data extraction from Facebook (every Monday):
I will automate the collection of metrics (Spend, Impressions, Clicks, CTR, and others) into a convenient Google Sheet, and also aggregate them in CSV format for transfer to LLM (GPT, Claude, Gemini of your choice) which will analyze them and generate a report, and send it wherever you specify (email, Slack, save as a document).
2. Analytics on UTM tags (most important):
I will set up the connection "Expenses from Facebook — Revenues from CRM." I will use the tag name from the CRM (utm_campaign) as a unique key. Make will consolidate data in Google Sheets in real-time: you will see how much each specific campaign has brought in, not just the number of leads.

Technical stack: Make (Integromat), Facebook Ads API, Google Sheets, your CRM's API.

Why Make? Convenient and understandable design, no need to write incomprehensible code, easy to understand what data is moving and where, simply scalable in the future.

I am ready to discuss the details (which CRM you use and what specific reports you need) and propose the optimal architecture for the scenarios.

Contact me to agree on the cost and deadlines) Expand

Budget: 7999 UAH Deadline: 5 days

Hello.
I build automation systems on n8n through self-hosting in Docker, which allows agencies to avoid costs on limits from Make.com.
Specifics regarding the implementation of your request:

Facebook Marketing API: I will set up data collection not through basic connectors, but through direct API requests. I will extract a full set of metrics: Spend, Impressions, CPC, CTR, as well as Purchases, Leads, and ROAS. All of this will be automatically compiled into Google Sheets every Monday at 09:00.

AI Reporting (GPT-4o / Claude 3.5): I am creating a prompt system that not only relays numbers but conducts Trend Analysis: comparing the current week with the previous one, calculating the % deviation, and providing specific recommendations for scaling or stopping ad sets.

End-to-end analytics (CRM + UTM): I will consolidate data from Facebook with real deals from your CRM using Python scripts within n8n. You will see the real LTV (Lifetime Value) and CAC (Customer Acquisition Cost) for each creative. Unlike standard integrations, my approach takes into account "junk" leads and returns, providing a clean return on marketing.

If your CRM has a specific API, I will write a custom connector in Python to ensure data transfer without loss. Expand