Get your e-commerce data in order before the chaos starts costing sales, time and decisions

We help online stores and digital platforms build a practical data-protection model – aligned with how the business actually operates, without blocking marketing, analytics or growth.

Most common problems / challenges

The most common problems we solve

Data sits across many touchpoints, but nobody sees the whole picture The store collects data at checkout, in user accounts, forms, campaigns, analytics and customer service. Each element works on its own, but accountability and rules do not form one system.
We analyse the entire data-working model, not only individual documents. We organise touchpoints, roles and flows.
Marketing moves fast, but compliance cannot keep up Remarketing, newsletters, automations, pixels and segmentation are often set up to work, but not necessarily to stay consistent with requirements and communication to the user.
We check how data is used in marketing and analytics, then prepare practical rules for the team.
Documentation does not match how the store works Privacy policies, cookie notices and information clauses are often copied, while the real business model is far more complex.
We align documentation and communication with actual processes, tools and data sources.
Partners and vendors take part in processing, but roles are not closed out Payment operators, mailing systems, couriers, analytics tools or software houses are part of how the store operates, but their role in the data area is often not clearly organised.
We organise partner relationships and show where accountability, rules and documentation need to be clarified.
The management board is accountable for an area it does not control operationally The personal-data topic is scattered across marketing, e-commerce, IT, customer care and external partners. That makes decisions, scaling and preparing the organisation for the next growth stage harder.
We translate requirements and risks into concrete operational decisions and implementation priorities.

Our solution

We build a data-protection model fitted to the realities of your e-commerce

We do not start from a compliance template. We start from how your store, teams, tools and partners actually work. On that basis we design an organised operating model that can be implemented.

Mapping the data-working model

  • analysis of the purchase journey and user accounts
  • review of forms, touchpoints and data sources
  • identification of team roles and external partners

 

  • E-commerce data-processing map

Audit of checkout, accounts and customer service

  • verification of purchase paths and user accounts
  • review of communication and information duties
  • assessment of consistency between process and documentation

 

  • A list of gaps, inconsistencies and decisions to take in store processes.

Organising marketing, cookies and analytics

  • analysis of marketing consents and communication practice
  • review of remarketing, newsletters, automations and pixels
  • assessment of data use in analytics and profiling

 

  • Clear recommendations for marketing and digital

Organising relationships with partners and technology vendors

  • analysis of the involvement of payment operators, couriers and SaaS tools
  • review of the role of advertising platforms and mailing systems
  • assessment of accountability in the partner ecosystem

 

  • An organised picture of partner relationships and an indication of areas that need clarification.

Aligning documentation with the real business model

  • privacy policy
  • cookie notices
  • information clauses and rules for communication to the user

 

  • Documentation and notices that match how the store actually works.

Implementation plan for teams and the management board

  • prioritisation of actions
  • recommendations for e-commerce, marketing, customer care and product
  • indication of implementation sequence and areas that need a decision now

 

  • A plan for organising the data area that can be rolled out in stages, without paralysing operations.

Who this service is for

For companies that want to regain control of data in online sales

This service is for organisations that already operate or grow quickly and want to organise the data area so that it supports the business instead of slowing it down.

Operations Manager / Compliance Manager

when responsibilities must be assigned, processes organised and a fragmented topic turned into a concrete action plan.

Head of Marketing / Growth Manager

when the team wants to run campaigns, remarketing and automations within clear, practical boundaries.

CEO / Board Member

when greater control over the risk area is needed before scaling, an audit, due diligence or entering a new growth stage.

Stages of work

We work so that it is clear, efficient and implementation-ready

The process is simple: first we understand how the business works, then we show risks and mismatches, and finally we organise the model and help embed it in the teams’ day-to-day work.

Assess the operating model

We learn how the store actually works: checkout, tools, campaigns, forms, user accounts and partners.

Audit risks and inconsistencies

We identify where operations diverge from legal requirements, good practice and the business’s needs.

Design the model

We prepare recommendations, operating rules and documents tailored to the company’s circumstances.

Embed the changes

We help integrate recommendations into the day-to-day work of marketing, e-commerce, customer care and operations.

Schedule a call about data protection for your e-commerce business.

Write to us

Let's check where the data area in your e-commerce needs organising

One conversation is enough to assess whether you need a full model reorganisation, a quick audit of a selected area or support with specific decisions.

In the form, briefly describe your store or platform, main marketing channels, tools in use and the area that raises the greatest doubt today. That will let us propose a sensible next step.

Mateusz Sawaryn

They will follow up with any questions or recommend a next step.

Quick response

We usually respond within two hours on business days.