Build a report in Locker studio on Facebook advertising taking into account data from CRM.

Hello.

For such a report, I would not build the logic solely within Looker Studio. When connections between Facebook Ads and CRM begin, especially regarding funnel stages, not only are the graphs important, but also the correct granularity of the data: one lead, one deal, one date of transition between stages, one clear key for linking. Otherwise, the report quickly produces duplicates or incorrect sums.

I see the approach as follows:
1. First, I check how exactly the stages are marked in Nethunt, whether there is a history of transitions and a timestamp for each status.
2. Separately, I verify at which level Facebook Ads expenses can be linked to leads: campaign / adset / ad / UTM.
3. If the linkage is complex, I prepare an intermediate layer of data in a table or SQL, and only then I will pass it to Looker Studio.
4. In the report itself, I leave only the visualization and simple control metrics to make the report easier to maintain.
…
There is an important nuance here: in Looker Studio, complex formulas on top of blended data have limitations, so it is better to calculate part of the logic before the report rather than trying to assemble everything directly in the dashboard. This is especially important for the cost per lead, cost per qualified lead, and cost per sale by stages.

Before starting, I would clarify:
- whether there is a history of transitions between stages in the CRM, not just the current status.
- which specific key is available for linking with Ads: UTM, campaign ID, lead ID.
- whether metrics need to be calculated by campaigns, adsets, or only by the overall flow.
- whether the sources are already clean or if they need to be brought to a single format.

I can provide a short demo on one initial data source before starting, to show how the information gets into the report and how key metrics are calculated based on it. Please provide one real dataset, I will connect it, check the fields, build a basic funnel, and show the result before the final project agreement.
We can discuss the details in private messages.

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Good day.

I can implement fully automated data retrieval from NetHunt and their mapping at the campaign level in Facebook Ads. The integration will be built through the NetHunt API and Facebook API - it will work quickly and stably, with the ability to generate various data slices by stages.

I have significant experience working with the Facebook API.

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Good day. I have experience in implementing a similar project and I suggest discussing the details and terms of cooperation.

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Hello! I am ready to complete your task, I have experience working on similar projects.

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Good day. I understand your request — it is necessary to analyze the effectiveness of Facebook advertising more deeply through the lens of CRM data in Nethunt, integrated into Locker Studio. Currently, you have a basic visualization, but key metrics are missing: cost per qualified lead, cost of sale, conversions by UTM tags, and breakdown by funnel stages.

We can implement a full integration where:
— Leads are automatically synchronized from Nethunt (with all stages and the time taken between them).
— Expense data from Facebook Ads is matched by date and UTM parameters.
— A real-time report is generated in Locker Studio: CAC by campaigns, customer cost, lead quality, ROI by sources.

Special attention — the logic for defining a "quality lead" (for example, call, demo, inquiry), which can be customized to fit your business process. We also implement filters by campaigns, dates, ad groups.

… Our experience: we have already implemented similar analytical systems for clients in e-commerce and B2B sectors, where it is critically important to see not just the number of leads, but the actual cost of sale and profitability of the source.

An example of our similar case: Complex Telegram Ecosystems - Development of complex bot ecosystems on aiogram with payment integration, CRM, and AI agents.

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