Analytico

Track Pillar · Privacy & Compliance

Privacy-compliant tracking without going blind.

Regulators are tightening the rules on consent, data minimization, and security. Your tracking can't just be “good enough” anymore. We design analytics and tagging that stand up to scrutiny while still giving your team the signal it needs.

  • Privacy-by-design data flows across web, apps, and back-end events.
  • Consent + CMP setups aligned with GDPR, Quebec Law 25, CCPA / CPRA, and upcoming California obligations.
  • Annual privacy & tracking audits that legal, security, and marketing can all live with.

For teams who need to respect the law, avoid fines, and still make sharp growth decisions.

Privacy Risk Snapshot · Analytics Stack

Before

  • No clear records of what gets tracked where.
  • CMP blocks half your tags in some regions.
  • Legal asks for a “data map” and everyone panics before board / regulator reviews.

After

  • Clear inventory of events, tools, and data destinations.
  • Consent flows tuned per region instead of blunt over-blocking.
  • Annual audit pack ready for internal, client, or regulator review.

Regulatory fit

Line-of-sight to GDPR, CCPA/CPRA, Quebec, and more.

Signal quality

Max data with minimal creep, backed by consent logic.

Defensibility

When someone asks "why do we collect this?" you have an answer.

The Cost of “Hope It's Fine”

Privacy risk isn't just fines—it's losing the right to measure what matters.

Too many teams either collect everything and pray, or shut down half their tracking out of fear. Both are bad outcomes. You need a deliberate, documented, region-aware strategy—especially as audits and risk assessments become normal, not rare.

Legal wants stricter rules. Marketing wants more data.

Your CMP, consent mode, and tracking all feel like a tug-of-war between growth and risk. Nobody is confident the current setup is the right trade-off.

You don’t have a real data map.

If someone asked, “What do we collect where, and why?” it would take days of digging through GTM, pixels, and dev tickets to answer properly.

Consent changes keep breaking measurement.

New CMPs, consent banners, or regulation updates quietly break key events—purchase, lead, subscription—without anyone noticing for weeks.

Regulators are moving toward recurring audits.

GDPR already expects DPIAs for high-risk processing. California and other regions are leaning into risk assessments, security, and automated decision audits—your tracking can end up in scope.

Built for Real-World Regulation

One analytics stack, multiple regulatory realities.

Your traffic doesn't live in a single jurisdiction. We design consent, tagging, and data flows that handle regional rules gracefully—without building three separate versions of your website.

EU / UK (GDPR + ePrivacy)

Lawful basis, consent vs legitimate interest, and cookie rules that turn every tag into a legal decision. We map your events and vendors into something your DPO and counsel can work with.

Canada (Quebec Law 25 + PIPEDA)

Quebec’s Law 25 makes consent banners and governance real, not optional. We make sure your measurement setup reflects that reality, especially for Quebec traffic.

US (CCPA / CPRA + state laws)

California and other states are sharpening requirements for data rights, automated decision-making, and security. We design tracking that respects opt-outs and deletion rights without gutting analytics.

Privacy & Compliance Services

Services inside the Privacy & Compliance track.

This isn't checkbox work. We tie legal requirements to concrete changes in your tagging, consent flows, data warehouse, and reporting—so everyone knows what's allowed, what's not, and why.

Privacy & Tracking Audit

Baseline view of risk, data sprawl, and broken consent flows across your stack.

  • Inventory of events, pixels, SDKs, and data destinations across web + app.
  • Region-aware review of consent, CMP behavior, and opt-out handling.
  • Gap analysis vs your key regulations (EU, Quebec, California, others).
  • Prioritized remediation and roadmap for the next 3–12 months.

Consent & CMP Engineering

Turn your CMP from a black-box banner into a reliable control layer.

  • Implementation or refactor of major CMPs (OneTrust, Cookiebot, etc.).
  • Tag and trigger logic wired to consent states instead of guesswork.
  • Testing plans to prevent consent changes from breaking key events.
  • Documentation your legal and product teams can actually read.

Privacy-Aware Tagging & Data Design

Collect less, but smarter—so you stay compliant and keep the signal.

  • Event schemas that avoid unnecessary personal data where possible.
  • Use of pseudonymous IDs and aggregation where full identity isn’t needed.
  • Server-side routing and filtering to reduce third-party data exposure.
  • Alignment of data retention windows with regulatory and business needs.

Annual Privacy & Measurement Audit

A recurring, repeatable review that keeps you ahead of changes.

  • Year-on-year comparison of tracking, tools, and data sharing.
  • Checks against new regulatory guidance and platform policy changes.
  • Updated risk register, remediation recommendations, and owner mapping.
  • Ready-to-share summary for execs, boards, clients, or auditors.

Data Subject Rights & Deletion Paths

Make sure ‘delete my data’ actually means something across your tools.

  • Mapping of identifiers between analytics, CRM, and marketing platforms.
  • Patterns for honoring deletion / opt-out in analytics where required.
  • Guidance on what stays aggregated vs what must be removed.
  • Playbooks for responding to DSARs involving analytics data.

Privacy for AI & Advanced Analytics

As you feed more data into models, we help you not walk into a wall.

  • Assessment of analytics → AI data flows and training sets.
  • Tagging and warehousing patterns that respect minimization and purpose.
  • Guardrails for using behavioral data in personalization and modeling.
  • Foundations for future risk assessments and model governance.

10-Day Privacy & Consent Diagnostic

In 10 days, you'll know exactly where you stand—and what to fix.

Designed to be repeatable annually or after major stack changes. One structured sprint, then a concrete remediation plan—not another vague “you should probably do better” report.

Day 1–2

Intake & scoping

We map your tech stack, key markets, and regulatory exposure (EU, Quebec, California, others) and confirm what’s in scope for the audit.

Day 3–4

Event & vendor inventory

We catalog events, tags, SDKs, and data destinations across your website, apps, GTM, CMP, and server-side setup.

Day 5–6

Consent & regional behavior review

We test how consent flows behave by region and device, and where they silently block or leak data.

Day 7–8

Risk assessment & gaps

We identify where your tracking is out of alignment with your policies and regulatory obligations, and where you’re leaving money on the table.

Day 9–10

Recommendations & roadmap

We deliver a clear remediation plan, annual audit recommendation, and documentation that your stakeholders can keep using.

Book a 10-day diagnostic

We can re-run this annually as part of your privacy + measurement governance.

Built for Cross-Functional Reality

The same privacy strategy, three different views.

Legal, security, marketing, and product don't need separate truth. They need one shared map, explained in their language. We make that the default.

For Legal & Compliance

Evidence and documentation, not hand-waving.

Data maps, records of processing, risk summaries, and consent logic they can plug into policy and DPIA workflows.

For Marketing & Growth

Clarity on what's allowed and how to measure it.

Concrete guidance on which events, audiences, and platforms are in-bounds, and how consent impacts attribution and ROAS.

For Product & Engineering

Implementation patterns, not legal essays.

Concrete tagging patterns, data contracts, and CMP integration details they can build and maintain without guesswork.

Next step

Let’s run a privacy and consent audit on your stack.

In 45–60 minutes, we’ll review your current consent flows, analytics stack, and key markets—and outline what it would take to get you to defensible, decision-ready tracking.

  • Senior-led analytics & implementation support.
  • Focused on decision-ready, trustworthy data.

e.g. GA4 + GTM + Shopify + Meta + HubSpot

e.g. broken conversion tracking, conflicting numbers, unclear attribution…

Prefer email? Reach us at hello@analyticodigital.com.

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