Solution · KPI Validation & Governance

Your KPIs dropped Tuesday. Don't find out at the quarterly review.

Koru's connectors pull live reporting from Adobe Analytics and GA4 and reconcile it against daily tag scan data. When a KPI deviates from its expected range, AI flags the anomaly and tells your team where to look, across every brand and region.

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KPI Validation · Adobe ↔ KoruLast 7 days

KPIs Validated4/4

Gaps Detected4

Largest Variance0.0%

Anomalies Flagged6

Form Submissions · daily count · anomaly flagged

AI note

Form completes fell to zero on Jun 30 while page traffic held steady. Likely tag regression on the confirmation step. See affected pages →

Real-world impact

A Fortune 500 retailer with a large e-commerce presence across Europe built a global web analytics solution, only to discover it had never been comprehensively implemented across all regions, causing chronic KPI performance issues.

⚠ Inflated digital budgets⚠ Poor trust and low ROI⚠ KPI slippage

ROI lens: Koru provides a single pane of glass across your entire site portfolio, surfacing KPI deviations with every daily scan, without a single IT ticket or analyst sprint.

What Koru does about it

One source of truth for every KPI

Auto-Analyze Reporting Data

API-based connectors pull live data from Adobe Analytics and Google Looker Studio. Reporting audits run alongside tag audits, so KPI trend changes surface with each scan cycle.

Prevent Undetected Data Loss

Centralized control over your KPIs across every brand and region. Data loss is surfaced and plugged as scans detect it, instead of being discovered in a quarterly business review.

Intelligent Alerts to Your Workflow

AI-based alerts delivered directly to Teams or Slack. Marketing teams act on findings the same day, with no ticket queues and no BI analyst bottleneck.

Report vs. Scan Reconciliation

Adobe Analytics KPIs superimposed with release events and validated against what Koru's scans actually observed on the site. Variances are quantified per metric.

Release-Aware Anomaly Detection

Anomalies are correlated with AEM and tag manager release events, so a KPI dip traces back to the deployment that caused it.

Multi-Brand Governance

Roll up tag health and KPI trends across brands, regions, and domains. One view for the CDO, drill-downs for each regional team.

FAQ

Frequently asked questions

Why do analytics reports drift away from actual site behavior?

Because reporting reflects what tags captured, not what users did. Broken tags, partial rollouts across regions, and dropped variables all create silent gaps that dashboards cannot see. Koru reconciles Adobe Analytics and GA4 reporting against its own daily tag scan data to expose those gaps per metric.

How does Koru detect KPI anomalies?

AI flags deviations of 15% or more from each metric's 30-day baseline, correlates the anomaly with AEM and tag manager release events, and delivers a plain-language root-cause alert to Slack or Microsoft Teams. A KPI dip traces back to the deployment that caused it.

Can Koru monitor KPIs across multiple brands and regions?

Yes. Koru rolls up tag health and KPI trends across brands, regions, and domains into a single portfolio view, with drill-downs for each regional team. It was designed for multi-brand enterprises where a global analytics rollout is never uniformly implemented.

Which reporting tools does Koru connect to?

Koru's API-based connectors pull live reporting data from Adobe Analytics, Google Analytics 4, and Google Looker Studio. Reporting audits run alongside tag audits with each scan cycle, so KPI trend changes and tag failures surface together.

Do we need a BI analyst to investigate every alert?

No. Koru's alerts arrive in plain language stating what broke, where, and the likely cause, so marketing teams can act the same day. There are no ticket queues and no dependency on IT or BI resources.