Complete data infra­structure for subscription apps and travel

Multi-domain architecture breaks your data across attribution, identity and quality. Marketing can't prove ROI. Product can't track journeys. Engineering are stuck maintaining tracking. We fix all three so that every team can make decisions on data they actually trust.

The hidden cost of modern subscription app architectures

You've built a sophisticated customer journey. Multiple touchpoints. Subscription flows. Mobile apps. Marketing sites. Each component best-in-class. But there's a problem.
Every redirect drops attribution context. Every domain crossing fragments user identity across your systems. Every server-finalised conversion needs custom code to prevent duplicates. Your checkout kills the gclid. Product sees three separate profiles for the same subscriber. Engineering maintains brittle scripts across multiple platforms.
The result? Marketing sees one truth. Product sees another. Engineering becomes the bottleneck. Data teams train models on incomplete features. Your CFO sees different conversion counts from every department and trusts none of them. Six-figure decisions on data you half-trust.
Business woman confused looking at mismatched analytics data

Campaign context preserved everywhere

Fix attribution gaps across domains

You know this pain: customer clicks your Meta ad, signs up, subscribes - shows as "Direct" in GA4. £50 spent, can't prove it worked.
Here's how we fix it: we capture click IDs before redirects destroy them, preserve them through domain changes, and enrich server events automatically with complete attribution context.
Complete Attribution (≥85%) includes:
  • Browser state capture before redirects destroy click IDs
  • Cross-domain preservation maintaining context across handoffs
  • Server enrichment with first/last touch attribution (automatic)
  • Co-ordinated client + server delivery (send twice, count once)
Typical proof: 20-40% conversion recovery (view methodology) for subscription apps and travel platforms. GA4↔Meta↔Google Ads convergence within days.
Diagram showing attribution context preserved across domains

From anonymous visitor to retained subscriber

Track complete user journeys across experiences

Your product team knows this frustration: anonymous visitor → signed-up user → activated subscriber shows as three separate profiles. Can't connect in-app behaviour to acquisition source. Which campaigns drive best retention? No idea.
Here's how we fix it: we maintain one profile per user (your single source of truth for identity) with automatic anonymous→known merge. Track the same person across your marketing site, checkout, app and member portal - even before they log in.
Complete Identity (≥90%) includes:
  • First-party identity persisting across domains and devices
  • Automatic session bridging via GA4 Measurement Protocol
  • Real-time identity resolution across all touchpoints
  • Unified user profiles merging anonymous and known IDs
Typical proof: 90%+ cross-domain session linking. Complete activation→retention funnel tracking. Product teams can finally answer "which campaigns drive our best users?"
Diagram showing unified user identity across all touchpoints

Zero-config platform handling attribution, identity and quality

How we deliver complete data infrastructure

Here's how it works: you tell Fidero what you need (for example, "Enable Google Ads enhanced conversions") and your configuration updates automatically server-side within 24 hours. Your SDK pulls the new config on its next request.
Zero tag manager knowledge required. Zero containers to publish. Zero deployment action from your team.
1. Consent-native pixel Lightweight pixel captures and persists critical browser state before it's lost. Click IDs, UTMs, session context - all preserved across every redirect and domain change. First-party identity with automatic cross-domain handoff.
2. Stateful enrichment API Enriches every event with complete user journey automatically. First touch, last touch, user traits, identity resolution - no custom code required. Maintains unified user profile (single source of truth) with automatic anonymous→known merge.
3. Quality-governed delivery Enriched events delivered to GA4, Google Ads, Meta, product analytics and warehouse with deterministic deduplication. Consent enforced consistently across all destinations. Same data, same user, delivered once. All platforms finally agree.
Technical flow diagram showing pixel to API to platforms

Fast, measurable results across all three dimensions

The 30-day proof process

Day 0: Baseline Capture your current data completeness across attribution, identity and quality dimensions. Document gaps where each team lacks trust.
Week 1: Diagnose & Accept Receive your Data Infrastructure Audit report showing completeness scores across all three dimensions. Review findings. Sign off on implementation plan.
Week 2: Pilot & Accept Deploy the Fidero pixel. Configure server-side adapters. Verify consent mapping, identity resolution and data flow to all destinations.
Week 3: Validate & Accept Monitor production data. Watch metrics improve across attribution coverage, identity resolution and quality enforcement.
Week 4: Prove & Decide Review your before/after pack showing improvement across all three dimensions. Measure the lift. Make your decision based on proven results.
Visual timeline showing 30-day proof process milestones

What we measure across three dimensions

Concrete proof for every team, not promises

We track specific metrics proving data completeness improvements across attribution, identity and quality:

Complete Attribution (target ≥85%):

  • Internal Attribution Coverage: Conversions with complete context ÷ total conversions
  • Meta Match Lift: Improvement in matched conversion percentage vs baseline
  • Google Ads Import Success: Accepted imports within 48 hours

Complete Identity (target ≥90%):

  • GA4 Session Link Rate: Events joining existing web sessions
  • GA4 User Link Rate: Events linking to known users
  • Cross-domain Identity Resolution: Same user tracked across all touchpoints

Complete Quality (targets ≥95-99%):

  • Consent Enforcement: Consistent compliance across all destinations (≥95%)
  • Duplicate-Block Rate: Successfully suppressed duplicate conversions (98%)
  • Destination Delivery Success: Events delivered successfully (99%)

Every metric is measured, documented and reported. Full transparency. No black boxes.

Why teams without tag manager expertise choose us

Traditional tag managers and CDPs require configuration expertise. You need to understand platform features, destination APIs and integration wiring. Then maintain everything when platforms change.

We eliminate that requirement entirely.

Here's what you get without writing a single line of code:

  • Unified identity store with automatic anonymous→user merging
  • Co-ordinated client + server delivery with deterministic deduplication
  • Consent queue and replay per-integration, enforced server-side
  • Managed adapters handling API changes automatically (zero action required)
  • Signed first-party IDs with cross-tab synchronisation, cross-domain handoff

When Meta updates their API (happens 2-4 times per year), changes deploy automatically server-side. Your tracking keeps working whilst your team ships product features.

FAQs

Quick answers to common questions

How is this different from managed GTM hosting?

Great question - platforms like Stape brilliantly solved the infrastructure problem. We solve configuration complexity. They require you to configure templates and understand GTM. Configuration updates automatically for us - you specify outcomes, it happens automatically. Different problems, different solutions.

What's included in "complete infrastructure"?

Complete Attribution (campaign context everywhere), Complete Identity (user journeys unified across domains/devices), Complete Quality (data accurate, delivered, compliant automatically). One platform, three dimensions, multi-team value.

Is the audit really zero-code?

Yes. The Data Infrastructure Audit uses read-only access and browser developer tools to assess your completeness across attribution, identity and quality. No code changes required for diagnosis.

How do you handle Consent Mode v2?

Our pixel automatically captures consent signals from your CMP and sends appropriate Google Consent Mode parameters. The server enforces consent universally across all destinations, ensuring every tool respects user choices.

What about our existing tracking setup?

We can work alongside or replace it. Most subscription app clients migrate gradually, proving value in one dimension (usually attribution) before expanding to complete infrastructure.

Do you support Stripe/Adyen/in-app billing?

Yes. Our pixel works with any checkout flow - hosted redirects (Stripe/Adyen), direct billing forms, in-app purchases, app store billing. We preserve attribution context through all of them.

How does this help Product teams, not just Marketing?

Complete Identity means product teams track activation→retention journeys across your marketing site, app and subscription flows. "Which acquisition channels drive users who actually activate and retain?" gets answered. Same infrastructure benefits multiple teams.

Ready to fix your data infrastructure?

Stop making decisions on data you half-trust. Get a free diagnosis of your data completeness gaps and a proven plan to fix them.
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