Diagnostic Services

Adobe Analytics Audit

Bad data costs money. Misattributed campaigns, broken funnels, inflated metrics. We find exactly where your Adobe Analytics setup is leaking value and give you a clear plan to fix it.

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What You Get

Data You Can Trust

Fix discrepancies between analytics and backend systems

Reduce Costs

Cut server call costs by 15-30% through optimization

Fix Attribution

Ensure marketing spend is allocated correctly

Executive Confidence

Restore trust in your dashboards and reports

What Analytics Audit Includes

Data Integrity

  • Tag validation
  • Variable consistency
  • Data layer health

Configuration Review

  • Report suite settings
  • Marketing channels
  • Classification rules

Strategic Alignment

  • KPI mapping
  • SDR review
  • Business goals alignment

Reporting & Governance

  • Workspace cleanup
  • User permissions
  • PII compliance check

What You Receive

Health Scorecard

Executive summary

Issue Log

Prioritized fixes

Updated SDR

Full documentation

Roadmap

Strategic recommendations

Case Study

Financial Services

How a Global Bank Found $2.4M in Misattributed Spend

Challenge: A multinational bank discovered that marketing attribution data had been silently drifting for 18 months. Campaign teams were optimizing against corrupted channel data, wasting budget on underperforming channels.

Approach: We ran a full-stack audit covering tag health, processing rules, marketing channel logic, and report suite configuration. AI-assisted auditing surfaced issues that manual reviews miss. Every finding was prioritized by revenue impact and delivered with a fix-by-fix remediation plan.

23
Critical issues found
$2.4M
Misattributed spend fixed
27%
Server cost reduction

Frequently Asked Questions

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Get a clear diagnosis of what's broken and a plan to fix it. After we fix it, we keep it fixed.

"We've helped dozens of teams to structure their data. Let's see how we can help you."

Kamil Glowacki
Kamil Glowacki
CEO & Founder, DataCoreUnity

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