Social Analytics Dashboard | Roaring Media
PRODUCTS/SOCIAL / ANALYTICS / DASHBOARD
Bring platform exports, content metadata, audience signals, assisted visits, and commercial context into comparable reporting when scattered social metrics leave teams debating activity instead of learning.

At a glance
Source audit, metric design, dashboard UX, paid and organic connections, and team enablement.
The opportunity
Bring platform exports, content metadata, audience signals, assisted visits, and commercial context into comparable reporting when scattered social metrics leave teams debating activity instead of learning.
Who it is for
Marketing teams managing several social channels without a trustworthy view of content, audience, campaign, and business signals.
Timing
Data audit and metric model in 1-2 weeks; dashboard build generally takes 3-6 weeks.
What is included
- Source and data-quality audit
- Metric and dashboard design
- Paid and organic channel connections
- Documentation and team training
Diagnosis
We inventory platforms, account access, naming, time zones, privacy limits, metric definitions, and the decisions reporting should support. This prevents a beautiful dashboard from simply displaying inconsistent or incomparable numbers.
Approach
We translate questions into a small metric model with clear dimensions, filters, and caveats. Paid, organic, creative, audience, and business signals are connected only where definitions and grain make comparison responsible.
Delivery
We prototype the dashboard with real data, validate totals against source platforms, then refine hierarchy and views with the people who use it. Refresh notes, permissions, data dictionaries, and training make the system usable beyond handoff.
Measurement
Dashboard quality is measured by freshness, reconciliation, adoption, time saved, and whether reviews produce documented decisions. Channel performance remains contextual: a single metric never stands in for creative quality, audience fit, or commercial value.
Can it combine paid and organic data?
Yes, when the platforms and access permissions expose compatible data; we label differences instead of falsely merging them.
Can it show revenue?
Where CRM and analytics connections support it, we can show agreed downstream signals with attribution caveats.
Who maintains it?
We document ownership, refresh behavior, and exception handling so your team can maintain it or retain us to do so.