I build analytics infrastructure for e-commerce brands.

Your shop, marketplace and advertising data come together in one place, with dashboards and a detailed monthly analysis of where the next budget should go. Contracts follow EU practice, including GDPR-compliant data handling.

Shopify, Google Ads and Meta each report a different revenue for the same month, and none of them says where the money should move.

An analyst on the payroll takes up a large share of the ad budget, so the question stays unanswered and next month’s spend is split like last month’s.

€50,000–62,000
the same month’s revenue, as each platform counts it
from €48,000
a year for an in-house analyst, salary and contributions

Who I work with

Performance and retention agencies

with up to 50 people who manage several brands at once and need a reporting layer they can put their name on. I build one dashboard per brand, and the agency delivers it to the client as part of its own service.

Brands that sell direct to consumers

with €2–20 million in annual revenue, on Shopify, Amazon, eBay or regional marketplaces. At this size the standard tools stop showing what is profitable after ad spend.

What I offer

  1. Data audit

    €4902 weeks

    A comprehensive review of your tracking, ad accounts and the reports your team relies on. The result is a prioritised list of what needs fixing, an estimate of what each issue costs you, and the order in which I would resolve them, with a price next to every item. We go through it together on a one-hour call.

  2. Dashboard sprint

    from €1,9003 to 4 weeks

    A single dashboard built around the figures that run the business: revenue by channel net of ad spend, repeat purchase rate, contribution margin by product, and stock cover against current sales velocity. It is built on your own data, inside the BI tool of your choice, and delivered with documentation so your team can maintain and extend it on its own.

  3. Data pipeline and dashboards

    from €4,9006 to 8 weeks

    When company data is spread across Shopify, Amazon, marketplaces, ad platforms, Klaviyo and a CRM that do not reconcile with each other, I bring it into a single data warehouse, build the dashboards on top of it, and document the entire setup in detail. The stack is AWS or Google Cloud with your existing BI tool, and the running cost for a company of this size is typically under €300 a month in cloud fees. At the end the infrastructure, the code and the credentials belong fully to you, with no licence fees payable to me and no lock-in.

  4. Monthly analytics

    from €900 a month

    Ongoing analytical support once the dashboards are live. Every week you receive a short written analysis of what changed in the figures and why, and once a month we hold a one-hour review call to decide what to test or adjust next. Between those you have an analyst who answers questions within two working days. Agencies can run the whole arrangement under their own brand as part of their client retainer.

Stack

Infrastructure

  • AWS S3raw data storage
  • AWS AthenaSQL warehouse queries at scale
  • AWS GlueETL pipeline orchestration
  • AWS Lambdaserverless jobs for daily crawls and loads
  • Google BigQueryserverless analytics on Google Cloud
  • Apache Airflowscheduling and monitoring of data workflows
  • SQLdata modelling and transformation
  • Pythonautomated data validation and alerting

Business intelligence

  • Amazon QuickSightembedded dashboards on AWS
  • Power BImanagement reporting and financial models
  • Tableaudetailed visual analysis with drill-down
  • Looker Studiolightweight dashboards on Google data

Data sources

  • Shopifyorders, customers and products
  • Amazonmarketplace sales and digital-shelf tracking
  • Google Analytics 4on-site behaviour and conversion events
  • Google Adssearch, shopping and YouTube spend
  • Meta Adspaid social spend and campaign performance
  • TikTok Adsshort-video ad spend and sales
  • Klaviyoemail revenue and retention cohorts
  • Airbyteopen-source connectors into the warehouse

Your pipeline

Answer three questions, and the pipeline I would build for your company assembles itself, step by step.

Where do you sell?
Where do you advertise?
What do you want to know?
What I would build
Package
02 Dashboard sprintfrom €1,9003 to 4 weeks
  • Your 4 sources are connected and refreshed every day.
  • The dashboard shows revenue by channel net of ad spend.

I usually start with the Data audit: €490, 2 weeks.

Book a free 30-minute call
Data infrastructure
Direct connection
  • Your sources are few enough for the BI tool to read them through its connectors, with no cloud setup of your own to pay for or maintain.
  • If you later sell in more places, a warehouse can be added and the same dashboard connected to it.
BI tool
Looker Studio
  • It is free and reads Google Ads, GA4 and BigQuery directly.
  • Reports are shared as a link, so everyone sees the same figures.

How the first call goes

Book a free 30-minute call
  1. Before the call

    The call is free and takes 30 minutes, and there is nothing to prepare: bring any questions you already have about your figures.

  2. On the call

    You tell me how your business works and where the data is, we open the reports together and I give my assessment as we go.

  3. By the end

    You know the 2–3 biggest gaps in your setup, roughly what each of them costs you, and whether an audit is the right next step.

Daria Ermicev‑Apostol

Founder of ACCADA

From 2022 I was a senior data analyst in banking, building data infrastructure for the retail business and designing customer segmentation and scoring models. Part of my role was translating regulatory reporting requirements into data models that risk, product and engineering teams implemented together.

In 2026 I founded ACCADA, which today runs the data-quality monitoring on AWS for daily crawls of more than a hundred retail sites behind the pricing, digital-shelf and share-of-voice analytics of global consumer brands, alongside Google Ads budget-allocation analytics for a waste management company and digital infrastructure for a medical equipment manufacturer.

Company
ACCADA S.R.L. is registered in Chișinău and is a Moldova IT Park resident. It currently works with clients in France, Canada and Moldova and is taking on new analytics projects.
Contracts
Contracts follow EU practice, invoices are issued in euros, and clients inside the Union account for VAT under the reverse-charge rule.
Communication
ACCADA works in the European time zone, usually with a weekly call and written updates in between, in English, Romanian and Russian.
White label
For agencies, every deliverable can carry your branding and be delivered as a white-label service: the dashboards, the written analysis and the monthly review are presented to your client as part of your own offering.

Pick a time for the first call below.

Free call

30 minutesVideo call

The calendar needs JavaScript. You can book on calendly.com or write to daria@accada.io.

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