Andrei Ilkaev
Start a project RU

Dashboards
and reports
that build themselves

Custom dashboard development services: data from your CRM, ad accounts, web analytics and bank - on one screen. It updates itself, opens on your phone, and carries no subscription fee.

When you need this

01Reports are pieced together by hand once a week - and go stale the moment they're sent
02The numbers from your ad account don't match the CRM, and nobody knows which to trust
03It's unclear which channel brings profit and which just spends budget
04Sales look fine "per CRM," but the cash isn't in the account - and you find out at month's end
05There's a plan, but you only see it at month's end, when it's too late to change anything
06Your marketer "paints" the reports, and there's nothing to check them against

What it looks like

Not a mockup - a live demo copy of a working dashboard. The company and numbers are made up, the mechanics are real: click around right here.

Leads, budget, sales and cash-in - with a plan and run-rate for every number. Full demo →
A funnel with step-by-step conversion rates. A detailed breakdown of every block is in the article "A business dashboard: a live example".

What's included

01

Data and CRM audit

How leads enter the system, where UTM tags get lost, what's stopping you from counting money. Eight out of ten projects start in a mess - that's normal.

02

End-to-end tagging

Setting up cross-channel analytics: unified tags across every source, lead routing, required fields - so the numbers can be trusted.

03

Collecting data into a warehouse

CRM, ad accounts, web analytics, bank - n8n gathers it all on a schedule, several times a day.

04

The dashboard screen

KPIs with plan and run-rate, the funnel, plan-versus-actual by manager, a breakdown down to the individual ad. Opens on your phone, password-protected.

05

Automated Telegram reports

A morning summary and alerts on deviations: CPL blows past its threshold - you hear about it right away, not at month's end.

06

AI analyst (optional)

Ask a question in plain language - get an answer from your data in half a minute. How it works is in the article on AI agents.

Stages and timelines

From the first call to a working screen - 1 to 4 weeks for an MVP and 6 to 12 weeks for complex, multi-source integrations.

Step 1 · 1-2 days

Reviewing your setup

A 30-40 minute brief and view-only access. I tell you what can realistically be built, at what cost and on what timeline.

Step 2 · ~1 week

Cleaning up the data

Tagging, labels, lead routing. The most underrated stage - without it, the dashboard shows a pretty lie.

Step 3 · ~1 week

Warehouse and screen

Data sync, the dashboard itself, automated reports. I show it on your live numbers, not on slides.

Step 4 · 1-2 weeks

Fine-tuning

The dashboard is checked against reality: logic tweaks, alert thresholds, team training. Support after launch.

How this differs from Roistat and Power BI

A ready-made service is like renting a combine harvester: a monthly subscription, and any non-standard logic - your own deal stages, cash-in, plan-versus-actual by manager - runs into the platform's limits. A BI studio will build it beautifully, but charge several thousand for the implementation and then walk away.

An n8n-based setup is your own system: logic shaped to your business, your data stays with you, and the only recurring cost is a server that runs a few dollars a month. And it's an honest tool, not a religion: if the review shows Roistat or spreadsheets are the better call for you, I'll say so. A comparison of all three paths with pricing is in the breakdown with a live demo.

Frequently asked questions

How much does dashboard development cost?

It depends on the stack: which CRM, how many accounts, whether you need automated reports and an AI analyst. I quote the price after a short review of your setup, not from a price list. Market context: analytics services run from a few hundred dollars a month forever, BI studios from several thousand for an implementation. Here it's a one-time build plus a server for a few dollars a month, no subscription.

How long does implementation take?

Plan on 1 to 4 weeks for an MVP and 6 to 12 weeks for complex, multi-source integrations: about a week to clean up the data, a week for the warehouse and screen, then a round of fine-tuning against live numbers.

What do you need from me to start?

View-only access (CRM, ad accounts, web analytics) and 30-40 minutes for a brief - which decisions you want to make from the numbers. I handle the rest and only pull the team in when needed.

Does it make sense for a small company?

If you have an ad budget, a CRM and a steady stream of leads - yes, it pays off quickly. If you get five leads a month, you don't need a dashboard yet, and I'll tell you that honestly at the review.

Our CRM is a mess - is that a problem?

That's normal: eight out of ten projects start in a mess with lost tags. Cleaning it up is the first phase of the work; there's no need to fix the CRM in advance.

What's included in a "turnkey dashboard"?

A data and CRM audit, end-to-end tagging, automated collection into a warehouse, a screen with mobile access, automated Telegram reports, training and post-launch support. Optionally - an AI analyst on top of your data.

How is this better than Roistat or Power BI?

It's not "better" - it's different: logic shaped to your business, your data stays with you, no subscription. If a ready-made service is the better fit in your case, I'll say so at the review rather than push my own.

Let's talk about your setup

Tell me which CRM you use and where your ads come from. I'll reply with what can be built, on what timeline and at what cost - for your task, not from a price list.

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