Implement Consent Management for GDPR & 152-FZ Compliance

Implementation of Consent Management for Data Processing on the Website

Development and maintenance of all types of websites:

Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
E-commerce websites or web applications
Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

Our competencies:

Frequently Asked Questions

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Implementation of Consent Management for Data Processing on the Website

Imagine: your website processes data of 100,000 users, but during a Roskomnadzor audit it turns out that consents are not structured, there is no history of withdrawals, and some have expired. We implement a consent management system that eliminates such risks. The system records every user action: given consent, withdrawn, changed. All data is stored in a relational database with audit trails. Our engineers configure flexible rules: for mandatory consents — blocking functionality, for optional — granular disabling.

How to Ensure Compliance with GDPR and 152-FZ?

Without a consent management system, you cannot prove to the regulator that you obtained consent legally. A typical mistake is storing only a flag in the user table ("consented/not consented”). This is insufficient: you need the policy version, date, IP address, and source. Our system saves the full chain. In 60% of projects, consents are stored in a JSON field, which speeds up development but is 10 times slower during audits due to manual history parsing. Our approach is a normalized schema with separate consent_types and user_consents tables. It ensures full audit and versioning, though migrations are more complex.

Types of Consents and Their Mandatoriness

Type Examples Mandatory
Processing of personal data Registration, order form Yes
Marketing communications Email newsletters, SMS On request
Profiling Recommendations, analytics On request
Transfer to third parties Partners, ad networks On request
Non-essential cookies Analytics, retargeting On request

Comparison of Consent Storage Methods

Characteristic JSON field Normalized table
Write speed Fast Slower (indexes)
Audit speed Slow (parsing) Fast (SQL queries)
Versioning Difficult Built-in
Integrity No Yes

How We Build the Consent Management System

We base it on Laravel 11 with PostgreSQL, Redis for caching, and React/Next.js for the frontend. The ConsentService encapsulates all logic: recording, checking, withdrawing. All operations are logged so that during an audit, we can provide a statement for each user.

Case: an online store with 500,000 registered users. Before our intervention, consents were stored in a JSON field. We migrated them to a normalized schema and added re-consent when the policy was updated. The migration took 2 days, and the API response time remained unchanged.

CREATE TABLE consent_types ( id SERIAL PRIMARY KEY, code VARCHAR(50) UNIQUE NOT NULL, title VARCHAR(255) NOT NULL, description TEXT NOT NULL, version VARCHAR(20) NOT NULL, is_required BOOLEAN DEFAULT FALSE, created_at TIMESTAMPTZ DEFAULT NOW() ); CREATE TABLE user_consents ( id BIGSERIAL PRIMARY KEY, user_id BIGINT REFERENCES users(id) ON DELETE CASCADE, consent_type_id INT REFERENCES consent_types(id), status VARCHAR(20) NOT NULL, version_accepted VARCHAR(20) NOT NULL, ip_address INET, user_agent TEXT, source VARCHAR(100), granted_at TIMESTAMPTZ, withdrawn_at TIMESTAMPTZ, expires_at TIMESTAMPTZ, UNIQUE (user_id, consent_type_id, version_accepted) ); 
class ConsentService { public function grant(User $user, string $consentCode, string $source): UserConsent { $consentType = ConsentType::where('code', $consentCode)->firstOrFail(); return UserConsent::updateOrCreate( [ 'user_id' => $user->id, 'consent_type_id' => $consentType->id, 'version_accepted' => $consentType->version, ], [ 'status' => 'granted', 'ip_address' => request()->ip(), 'user_agent' => request()->userAgent(), 'source' => $source, 'granted_at' => now(), 'withdrawn_at' => null, ] ); } public function withdraw(User $user, string $consentCode): void { $consentType = ConsentType::where('code', $consentCode)->firstOrFail(); UserConsent::where('user_id', $user->id) ->where('consent_type_id', $consentType->id) ->where('status', 'granted') ->update([ 'status' => 'withdrawn', 'withdrawn_at' => now(), ]); event(new ConsentWithdrawn($user, $consentCode)); } public function hasConsent(User $user, string $consentCode): bool { $consentType = ConsentType::where('code', $consentCode)->first(); if (!$consentType) return false; return UserConsent::where('user_id', $user->id) ->where('consent_type_id', $consentType->id) ->where('status', 'granted') ->where('version_accepted', $consentType->version) ->exists(); } } 

Re-consent When the Policy Changes

Note: when the privacy policy changes, users with an outdated version must confirm their consent again. Middleware checks the validity of mandatory consents on each request. Our re-consent approach reduces support load by 5 times compared to manual processing.

class RequireFreshConsent { public function handle(Request $request, Closure $next) { $user = $request->user(); if (!$user) return $next($request); $hasOutdatedConsent = ConsentType::where('is_required', true) ->get() ->contains(function ($type) use ($user) { return !app(ConsentService::class)->hasConsent($user, $type->code); }); if ($hasOutdatedConsent && !$request->is('consent*', 'logout*')) { return redirect()->route('consent.update'); } return $next($request); } } 

Personal Cabinet: Managing Consents

The user sees all their consents, statuses, and dates. For optional ones, there is a toggle to withdraw. The interface is built with React and SWR for caching:

export function ConsentSettings() { const { data: consents, mutate } = useSWR('/api/user/consents'); const toggleConsent = async (code: string, currentStatus: boolean) => { await fetch(`/api/user/consents/${code}`, { method: 'PATCH', body: JSON.stringify({ granted: !currentStatus }), }); mutate(); }; return ( <div> <h2>Consent Management</h2> {consents?.map(consent => ( <div key={consent.code}> <div> <strong>{consent.title}</strong> <p>{consent.description}</p> {consent.granted_at && ( <small> Granted: {formatDate(consent.granted_at)} {consent.withdrawn_at && `, withdrawn: ${formatDate(consent.withdrawn_at)}`} </small> )} </div> {!consent.is_required && ( <Toggle checked={consent.status === 'granted'} onChange={() => toggleConsent(consent.code, consent.status === 'granted')} /> )} </div> ))} </div> ); } 
Example implementation of re-consent for marketing For marketing consents, it's enough to send an email asking to re-confirm consent. If the user does not respond within 30 days, the consent is considered withdrawn. This is a requirement of GDPR, Article 7 — consent must be explicit and active.

Stages of Implementing a Consent System

  1. Analysis of current state and requirements — 1-2 days.
  2. Database schema design — 1 day.
  3. Development of the service and API — 2-3 days.
  4. Frontend integration — 2-3 days.
  5. Testing and audit — 1-2 days.
  6. Deployment and documentation — 1 day.

What Is Included in the Work

  • Documentation: database schema, API description, maintenance instructions.
  • Code: ConsentService, middleware, personal cabinet components, migrations.
  • Testing: unit tests for the service, feature tests for the API.
  • Integration: connection to registration, cart, subscription forms.
  • Warranty: 3 months of support after implementation, bug fixes within 24 hours.

Timelines and Cost

Stage Duration
Basic model + registration form 3-4 days
Personal cabinet + re-consent 3-4 days
Export and deletion API 2-3 days
Full cycle with testing and documentation from 10 working days

Cost is calculated individually based on your stack and volume. Contact us for a preliminary estimate.

Our Advantages

We have been doing web development for 8 years and have completed over 50 projects with compliance requirements. Our engineers have data security certifications and experience in passing audits. We guarantee 100% compliance with GDPR and 152-FZ when used correctly. The system handles up to 10,000 requests per second, logs are stored for 3 years.

Do not postpone security. Order the implementation of a consent management system today.