Comparison

AgencyAnalytics vs NarratorHQ: Which is right for your agency?

AgencyAnalytics is the go-to for agencies that need reporting dashboards. NarratorHQ is for agencies that need the report itself — written, approved, and delivered automatically.

The core difference

AgencyAnalytics solves a data accessibility problem: your clients can log in and see their metrics in one place. It's a dashboard builder with report templates.

NarratorHQ solves a different problem: the 1–3 hours per client that account managers spend turning those metrics into a coherent narrative and sending it. That time isn't saved by a better dashboard — it's saved by automating the writing.

Feature comparison

FeatureAgencyAnalyticsNarratorHQ
GA4, Google Ads, Meta connections
Dashboard / data visualisation✓ Core feature— Not the focus
AI narrative generation⚠ Basic summary only✓ Full narrative, every section
Automated narrative delivery✗ Still manual✓ Built around this
Approval queue with inline editing
Anomaly detection + explanation
Client memory (goals, promises)
White-label PDF + email✓ Extra cost✓ Included
Report scheduling (auto-trigger)
Price at 15 clients~$199/mo£249/mo

When to choose AgencyAnalytics

  • Your clients actively log in to check their own dashboards
  • You need visualisations (charts, graphs) as the primary deliverable
  • You have a wide range of data sources beyond GA4/Ads/Meta
  • Report narrative isn't the bottleneck — data access is

When to choose NarratorHQ

  • Your account managers spend more than 30 minutes per client writing monthly updates
  • Your clients receive a narrative report by email (not a dashboard login)
  • You want the AI to explain anomalies, not just display them
  • You need an approval queue — you review before it sends, always
  • You want the report to remember what was promised last month

Can you use both?

Yes. Some agencies use AgencyAnalytics for client-facing dashboards (clients who like to self-serve) and NarratorHQ for the monthly narrative delivery. They solve different problems and aren't in direct competition for the same use case.

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