Business Intelligence for e-commerce

Discover where your business is losing profit—and change it

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Implementation Results

What changes in your business after implementing Business Intelligence

Management analytics is not about beautiful charts. It is about a systematic transition from intuitive decisions to decisions based on real data from your business. When you see the full picture, profit grows because the number of costly mistakes decreases.

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 per channel—Facebook, Google, organic, retargeting.

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
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
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
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
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
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.

Service Composition

What is included in the BI package for e-commerce: full composition for $200/month

How Implementation Works

Business Intelligence in 1 Day: 3 Steps to Launch Analytics

No integrations, no programmers, no technical tasks for a month ahead. From zero to a fully functional analytics system—one day.

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.

Who This Product Is For

Business Intelligence for E-commerce Is for You If…

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

FAQ

Frequently Asked Questions About Business Intelligence for Online Stores

How long does implementation take?

The first analytics work block typically takes 6-10 weeks from the start of diagnostics to dashboard launch. Full implementation with all blocks (finance, sales, operations) takes an average of 3-5 months depending on the number of data sources, the state of current systems, and client priorities. The phased approach allows you to see initial results before the entire project is completed.

Do existing ERP and CRM systems need to be changed?

The BI system is built on top of the existing infrastructure: it connects to ERP, CRM, and accounting systems and retrieves data from them through integration. There is no need to replace or abandon current systems. On the contrary, they become the sources for a unified analytical environment.

Who from our team needs to be involved?

At minimum, one relevant representative from the client side: a financial director or head of the respective department to validate business logic. Participation is required at specific points: during requirements alignment sessions and results verification. IT resources are only needed to provide system access.

Can we start with one area, for example, only finance?

A modular approach is standard practice. We begin with the module where there is the greatest management pain point or the highest value from quick results. Financial analytics, sales analysis, or the operational module—any of them can be launched first, and then the system can be scaled up.

What happens after launch? Do you provide support?

After system handover, we can provide support: technical, analytical, and consulting. When business logic changes or new tasks arise, the system is updated within the SLA framework.

Is the solution suitable for our industry and specifics?

The analytical model is developed according to the specific client's business logic. The approach works regardless of industry: retail, distribution, manufacturing, agriculture, services. There are no ready-made templates for everyone; everything is built around the company's real management tasks.

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.
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