Business Intelligence for e-commerce

Discover where your business is losing profit—and change it

Profit/Expense Control:

You see not only revenue but all expenses broken down: where the budget is spent and how much remains after advertising and operational costs.

Margin per Product:

You know exactly which items generate profit and which drag margins down—and you adjust your assortment based on data.

Advertising Channel Effectiveness:

ROAS analytics shows not just return on ad spend, but net profit for each channel—Facebook, Google, TikTok ads, and organic traffic.

Customer Analysis:

Segmentation helps you understand who generates the most revenue and who should be targeted with marketing.

Understanding Your Customer Base:

RFM segmentation divides customers into groups: who pays the most, who is leaving, who should be brought back—and how.

Identifying Budget Waste:

BI analytics automatically shows points where money is spent without results—and you react immediately, not at the end of the month.

5 Signs Your E-commerce Needs Business Intelligence Right Now

Many e-commerce businesses face a situation where advertising metrics grow, but profit does not increase. The owner sees revenue but does not understand what actually generates money. The reason is often not in advertising or the product—but in the absence of a unified analytics system.

"ROAS is growing, but profit is stagnant"

You see good metrics in your advertising dashboard—yet you do not understand why nothing is being added to your account. This is a classic symptom of a disconnect between advertising and net profit.

"You do not know the margins of your products"

You sell hundreds of items—but you do not know which ones are actually profitable after delivery, returns, and advertising costs. You sell more but earn less.

"You have a customer base, but you do not manage it"

Without segmentation, you send the same offers to everyone—wasting budget on those who will buy anyway, and ignoring those who could be brought back

"Data lives in different systems"

CRM—separate, advertising dashboards—separate, orders—in one place, finances—in another. To make one management decision, you need to manually collect data from multiple sources.

"Marketers generate revenue—but do not think about profitability"

Your team optimizes advertising for revenue or ROAS, while the real goal is net profit growth. Without a shared dashboard, these goals do not align.

What You Will See in Your Analytics

ABC/XYZ Product Analysis

Shows which products form the revenue base (category A) and how stable their sales are (category X). ABC XYZ analysis identifies risk groups—items that occupy warehouse space but do not generate profit.

RFM Customer Segmentation

Automatically divides the customer base by frequency, recency, and purchase amount. You immediately see who generates 80% of profit, who needs to be brought back, and who should be retained with a personalized offer.

FM Customer Segmentation

Shows which customers buy frequently and spend more—and which are gradually leaving. You understand who drives revenue and know who to retain before they go to a competitor.

Profitability Analysis

Shows profitability broken down by products, customers, managers, and time periods. You understand who and what actually earns money for your business—and where growth opportunities are.

Advertising Channel Analytics

Displays ROAS, CAC, and Net Profit per channel in one window. ROAS analytics allows you to compare the effectiveness of Facebook, Google, and other sources not by revenue, but by net profit.

5 Dashboards in Power BI

These are not template reports—each module is designed for real e-commerce tasks: from daily profit control to identifying products that drag margins down. All 5 dashboards are interconnected: you move from general to specific in a few clicks, without switching between systems.

RFM Segmentation with Export

The system automatically divides the base into segments. You receive a ready file for upload to any other service—and launch personalized campaigns without additional analyst work.

Advertising Analytics Dashboard

Everything in one window—Facebook, Google, organic. You see not just ROAS, but net profit per channel after all costs. Budget reallocation decisions take minutes, not days of manual data collection.

Continuous Data Updates

Technical Support

You are assigned a specific person who knows your system and your business. If something goes wrong, a question arises, or you need help interpreting data—you write directly to the manager, not to a general support chat without a name or face.

Training Materials

Many tools are purchased and not fully utilized—simply because it is unclear how to read the data correctly. Each dashboard includes a short video and text guide: what to look at, how to interpret metrics, and what decision follows from them.

Free Diagnostics

We analyze your business: what data you have, in what format, what tasks analytics should solve. Diagnostics takes 30–40 minutes and gives you a specific list of points where your e-commerce is losing money—regardless of whether you proceed further.

Data Upload Using Template

You receive ready templates for upload: orders, expenses, advertising data. The format is standard Excel or CSV, nothing new to learn. Preparation takes 1 to 3 hours depending on database volume.

Connection and Launch

You submit the completed files, we configure the dashboards and return a ready system. Your task is to review the results and ask questions. From this moment, business analytics for your e-commerce operates at full capacity.

E-commerce owner for 1+ years

Revenue from $15k+/month

2+ advertising channels

Existing customer base with regular sales

No unified profit analytics system

Business at a scaling or stress point

Frequently Asked Questions About Business Intelligence for Online Stores

What is Business Intelligence (BI)?

This is an approach to decision-making based on facts. It involves systematic collection, processing, and visualization of business data so that managers and teams can see what's happening in the company in real time. BI answers what happened, why, and what to do about it. These are dashboards, analytical models, automatic reports that allow viewing the business as a holistic system.

More about business analytics service

Навіщо мені бізнес-аналітика?

Business analytics shows which directions bring profit and which drain resources. You see which customers drop off, where processes stall, what affects conversion. It's a way to spot problems before they turn into losses. And conversely – to scale what works. Decisions become more precise, reactions faster.

What’s the difference between BI and Business Analytics?

BI is about real-time visibility: dashboards, reports, metric control. Business analytics is about analyzing causes, forecasting, and scenario modeling. Conventionally: BI shows profit dropped in September, analytics explains why, what happened to customer behavior, and how to fix it. We usually combine both approaches.

What type of analytics do you provide?

It all depends on the task. If real-time metrics are needed – we build interactive dashboards. If understanding customer behavior or demand forecasting – we connect analytical models. If consolidating everything into one window – we create a unified analytics portal. In most cases, we start with an audit: what's already there, what decisions are made, where money is lost. Then we tailor the solution to the business, not vice versa.

How will BI help grow my business?

Data alone gives nothing. But properly presented information speeds up decisions, reveals problems, and shows growth points. BI lets you focus on profitable directions and optimize costs. For example, you see conversion dropped in one region and launch a new strategy test within an hour.

How long does BI implementation take?

From 3 weeks to several months, depending on complexity and your data state. If structured sources and clear specs already exist – we can quickly assemble an MVP with basic dashboards.

Which data sources can you connect?

Practically any: CRM, ERP, marketing platforms, websites, Google Sheets, databases, third-party APIs. Our task is to make data collect automatically, without manual intervention, with clear logic.

What if I have poor or incomplete data?

This is a standard situation, and we don't require perfect data order before starting. On the contrary, we help identify what can be salvaged, normalized, cleaned, or supplemented. Often we show exactly which data is missing for the needed insights. After that, the company starts collecting and storing info better, seeing its impact on strategic decisions.

Is special software needed for BI?

Not necessarily. If you have Microsoft 365 – we can implement basic BI in Power BI without extra costs. For custom analytics – we build a turnkey web platform.

Can you create custom dashboards?

Yes, of course. Every business has its logic, and standard templates often provide no value. We design dashboards understanding who will use them and why: for CEO, marketing, logistics, or production. They can even be role-specific panels.

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Get a free diagnostics and discover where your e-commerce is losing profit

Free diagnostics is a specific list of loss points in your business, even if you do not proceed after. One day—and you have a complete management analytics system. No risk, no complex implementation, no IT specialist needed. Your first step is to submit a request, we will contact you within a few hours and conduct diagnostics free of charge.

Get Diagnostics