Cross-analytics of sales and marketing: GA4 + BigQuery + CRM

Budget: 22000 UAH Deadline: 18 days

Hello. I do exactly this kind of end-to-end analytics: GA4 → BigQuery → CRM with session and lead stitching.

Here’s how I see the solution for your request:
– Audit GA4/GTM/CRM, identifying tracking gaps and designing the architecture of BigQuery datasets.
– GTM: capturing GA4 client_id/session_id upon form submission and passing it to CRM as hidden fields, so each lead has its own session.
– BigQuery: native GA4 export + Search Console + channel spend data, layers raw/staging/marts, access rights by roles.
– I automate the CRM → BigQuery flow using self-hosted (n8n), without manual exports.
– SQL models: stitching session↔lead↔deal, calculating CPL, CAC, funnel time, and channel attribution.
– Looker Studio dashboards with role-based access + documentation and training session for the team.

I work in stages (audit+architecture → tracking → storage+flow → models+dashboards), so you can see the results at each step. I’m ready to start with the audit and show the architecture before the main work. Expand

Budget: 25000 UAH Deadline: 20 days

Good day!
My name is Oleg, I am the project manager of Business Atlas. We develop and implement autonomous AI ecosystems and solutions for automating business processes (we have over 50 successful cases in the UA and EU markets).
Building end-to-end analytics by combining web tracking and CRM data is a task that requires a systematic approach, and we are ready to implement it turnkey for your agency.
Our approach and stack:
• Automation (CRM → BigQuery): As specialists in n8n, we offer the self-hosted version of n8n as the main orchestrator. This ensures complete data security for the company, flexible work with REST API/JSON, and no monthly costs for third-party connectors.
• Tracking (GTM + GA4): We will conduct an audit and rebuild the GTM logic for reliable interception of session_id and client_id during form submissions and transfer them to custom fields in your CRM.
• Storage and SQL modeling: We will set up native GA4 export, Search Console, and expenses in Google BigQuery. My colleague, our technical expert Lavr, will create SQL models for calculating CPL, CAC, LTV, and lead time through the funnel stages.
• Visualization: We recommend Looker Studio. Thanks to its native integration with BigQuery, it works quickly, requires no additional licenses, and allows easy role-based access setup for the team and management.
Estimated cost and timelines by blocks:
1. Audit, GTM, and BigQuery setup (GA4 export, storage) — 7–10 days
2. Data flow automation (CRM → n8n self-hosted → BigQuery) — 10–14 days
3. SQL modeling and Looker Studio dashboards — 10–14 days
4. Documentation and team training — 3–5 days
• Total timeline: 4 – 5 weeks.
• Estimated budget: $1800 – $3000 (final cost is confirmed after expert diagnostics and analysis of your CRM's API structure).
• Further support: in the format of hourly payment or fixed monthly support for adding new sources or adjusting metrics.
Message me privately — we will discuss which CRM you are using to detail the architecture of future analytics! Expand

Budget: 5000 UAH Deadline: 7 days

The main difficulty is not in the dashboards, but in the stitching point: capturing session identifiers at the moment of form submission and passing them to the CRM without loss. Since December 2025, GTM has native built-in variables Analytics Client ID and Session ID, so custom JS for parsing cookies is no longer needed. In the hidden fields of the form, I pass both values to the CRM, then Airbyte (self-hosted) pulls CRM data into BigQuery. I build the JOIN on the pair user_pseudo_id + ga_session_id, because ga_session_id alone is not unique among users. For channel attribution, I take session_traffic_source_last_click from the BQ export, not collected_traffic_source. I write funnel models (CPL, CAC, time at stage) on dbt Core, dashboards in Looker Studio with role-based access via IAM. What CRM do you currently have? This affects the Airbyte connector and the structure of the lead field mapping.

Similar completed project: Integration of CRM Roapp + Google Ads (GCLID offline conversions) — https://freelancehunt.com/project/integratsiya-crm-roapp-google-ads/1621932.html

Budget: 27000 UAH Deadline: 30 days

We can take it as a full cycle - audit, architecture, tracking, storage, models, dashboards, documentation, and training session within the phase. The timeframe estimate is 4-6 weeks, and the cost of the first full implementation starts from 180,000 UAH; we will provide a more accurate figure after reviewing the CRM, GTM, GA4, and current forms.

For the blocks, I would allocate as follows:
> GA4, GTM, CRM audit and data schema - 3-5 days
> Rebuilding tracking and transferring session identifiers to CRM - 5-8 days
> BigQuery, GA4 export, expenses, Search Console, permissions - 4-6 days
> CRM -> BigQuery automation - 5-10 days; here, the nuance depends on the CRM and its API
> SQL models, attribution, CPL, CAC, LTV, funnel stages - 6-10 days
> Looker Studio or Power BI, role-based access, documentation - 5-8 days

Regarding the stack - for such a project, I would most often choose BigQuery + SQL models + Looker Studio if the team values speed, transparency, and lower support costs. Power BI makes sense if you already have a Microsoft ecosystem and need a more complex permission model. For CRM -> BigQuery automation, it can be done through self-hosted n8n / Airbyte / custom service, depending on the CRM, API limits, and stability requirements. It can be kept simple, but the lead-session linkage must be done very carefully; otherwise, the dashboard will look good, but the decisions based on it will be flawed =/

Similar experience from Ingello:
> https://business.ingello.com/iks - corporate system with accounting, roles, and business logic, close to the managed data tasks for management
> https://business.ingello.com/forma-crm - CRM approach, sales processes, lead data, and operational logic
> https://systems-fl.ingello.com/ua - main page of Ingello Systems for FLH

Support after launch - starting from 15,000 UAH per month for monitoring data flows, minor model adjustments, checking metric accuracy, and dashboard maintenance. If regular new reports, A/B analytics, or new data sources are needed, it’s better to calculate as a separate package.

Two things need clarification:
> which CRM is used and whether there is a proper API / webhooks for leads, deals, statuses, and amounts
> whether there is already a GA4 export to BigQuery, and whether client_id / session_id / gclid / utm are currently being sent to forms or CRM

After this, we can break down the estimate more accurately by phases. Most likely, the first correct step is a short technical design, because here !!the main risk is not in the dashboard, but in the quality of linking the lead with the session!!. Expand

Budget: 26000 UAH Deadline: 18 days

Good day! I was working on exactly this kind of integration — native GA4 export to BigQuery, pulling expenses by channels and SQL models that stitch sessions with leads by client_id for CPL, CAC, and time at funnel stages. I upload CRM to BigQuery via a self-hosted stream (Airbyte or my own Python connector via API/webhooks), without manual exports; dashboards are in Looker Studio, as it natively reads BigQuery.

Right away, the main question: what CRM do you have and does it have an API or webhook for new leads? This determines whether we capture the GA4 client_id directly on the form or retrieve it later — and the entire approach to automation.

In terms of timelines, approximately 2-3 weeks by blocks; I will provide an exact estimate as soon as I look at the current GTM/GA4. I am ready to start.

Budget: 20000 UAH Deadline: 14 days

Good day, Maksym! I am working with the GA4 + GTM + BigQuery bundle and CRM integrations via API. I will start with an audit of GA4/GTM/CRM and architecture: capturing session_id when submitting forms and passing it to CRM, native export of GA4 and Search Console to BigQuery, automation of the CRM - BigQuery flow (I can self-host), SQL models for linking sessions with leads and funnel metrics, dashboards in Looker Studio with role-based access. I will finish with documentation and a training session for the team. I will first provide an architectural diagram for approval.

Budget: 2000 UAH Deadline: 1 day

Hello! The goal is clear: to stitch the lead with its GA4 session end-to-end so that CPL/CAC/attribution are calculated correctly, not "by eye." Below is the approach, stack, and estimation by blocks.

The stack I propose (native for your case — everything in the Google ecosystem, cheaper and more stable):
BigQuery as storage · GA4 native export · GTM for tracking · Airbyte (self-hosted) for CRM → BigQuery flow · dbt for SQL models · Looker Studio for dashboards. I can also do Power BI if the team already has licenses — but for the Google stack, Looker Studio wins: free, native connector to BigQuery, role-based access through Google groups.

The key point is stitching the lead with the session. On the form submission via GTM, I capture session_id + client_id from GA4 and place them as hidden fields in the CRM. Then in BigQuery, the lead matches with its session using these identifiers — this is the foundation for correct attribution.
Message me privately - we will discuss the project details.

Budget: 27000 UAH Deadline: 30 days

Hello!

I have worked on similar projects where it was necessary to integrate CRM, GA4, and analytics into a single system for complete transparency in the sales funnel. In particular, I implemented automated CRM analytics with end-to-end UTM attribution, integration through Make.com, and dashboards in Looker Studio, which allowed tracking the customer journey from the first click to the closed deal and receiving data in real-time.

For your project, I propose the following approach:
• audit of GA4, GTM, and CRM with architecture design;
• setting up the transfer of session_id/client_id and UTM data to CRM via GTM;
• BigQuery as a centralized storage (GA4 Export, Search Console, CRM, advertising expenses);
• automation of CRM → BigQuery through Make.com (or self-hosted solution if needed);
• SQL models for matching sessions with leads and calculating CPL, CAC, LTV, conversions, and funnel time;
• interactive dashboards in Looker Studio with role-based access;
• documentation and team training.

Preliminary estimate:
• Audit and architecture — 3 days.
• Integrations and BigQuery — 5 days.
• SQL models and automation — 7 days.
• Dashboards and testing — 5 days.

Total timeframe: about 2–4 weeks (depending on CRM and the current state of tracking).

Post-launch support is possible in the form of monthly maintenance: monitoring, optimization, adjustments to automations and dashboards.

I would be happy to discuss the details of your CRM to immediately propose the optimal architecture of the solution and a more accurate estimate. Expand

Budget: 27000 UAH Deadline: 30 days

We already have a practically ready foundation for cross-analytics GA4 plus CRM plus BigQuery, which can be quickly adapted for your agency, launched, and discussed here on the marketplace right now, I am available =)

Approximately - 180,000 UAH and 25-30 working days for the first stable version.

In blocks, it looks like this - GA4, GTM, and CRM audit - 20,000 UAH, form tracking and transferring identifiers to CRM - 35,000 UAH, BigQuery and access rights - 30,000 UAH, CRM flow to BigQuery through self-hosted n8n or a separate service - 40,000 UAH, SQL models and attribution - 30,000 UAH, Looker Studio or Power BI with role-based access - 25,000 UAH.

Support after launch - from 15,000 UAH per month, depending on the number of sources, changes in CRM, and required response speed.

In terms of approach, I would go through BigQuery as a single repository, native GA4 export, separate staging and mart tables, error log for the CRM flow, data quality control, and documentation for the team.

For dashboards, I would recommend Looker Studio if a quicker start and working with the Google stack is needed, Power BI if the management already has a Microsoft ecosystem or a more complex access model.

I will clarify 2 things, without them the final estimate may vary slightly.
- What CRM is used and does it have an API or webhooks
- Are the forms on the website custom, through a builder, or through a third-party service

Similar logic projects by Ingello.
- https://business.ingello.com/forma-crm - CRM and management logic, close to your sales part
- https://business.ingello.com/platforma - corporate platform with roles, data, and operational analytics
- https://business.ingello.com/vorfahr - process automation and complex data work, this is closer to scaling with AI

Our FLH landing - https://systems-fl.ingello.com/ua Expand