Marketing KPI Dashboard
- Source
- sample-data.csv · 5 rows
MQLs (month)
1,284
+12.4%CAC
$86
-7.8%Blended ROAS
3.4x
+0.3xLead → SQL rate
31%
+2.1ppQualified leads by channel
Sample data — this month
A marketing KPI dashboard answers one question weekly: is spend turning into pipeline efficiently? The trap is tracking activity metrics (impressions, likes) instead of efficiency metrics that connect budget to revenue.
MQLs (month)
1,284
+12.4%CAC
$86
-7.8%Blended ROAS
3.4x
+0.3xLead → SQL rate
31%
+2.1ppQualified leads by channel
Sample data — this month
Live render with sample data — upload your own export and this structure regenerates from your numbers, with the computation attached to every figure.
Everything you need to know about using AnalyzeData.
Efficiency metrics that connect spend to revenue: CAC, ROAS per channel, MQLs with the MQL→SQL rate, conversion rate, and CPL. Activity metrics (impressions, followers) belong in channel deep-dives, not the headline dashboard.
Export campaign data from your ad platforms and CRM as CSV, upload it to AnalyzeData, and ask for your KPI view with period comparisons. The dashboard above is exactly that output — regenerate it monthly with the new export.
Efficiency metrics weekly (CPL, ROAS shift fast enough to burn budget), CAC and pipeline metrics monthly — matching how quickly you can actually act on each.
Because CAC moves late. Cost per lead shifts weeks before CAC does, so a channel can be quietly deteriorating while your blended CAC still looks fine. Watch CPL per channel as an early-warning metric, and track MQLs alongside the MQL-to-SQL rate so rising lead volume never masks quality decay. By the time CAC itself climbs, you have usually already burned budget.
Both, but the per-channel view is where decisions live. A healthy blended ROAS can hide one channel sitting below breakeven, where every extra dollar just accelerates loss. Break ROAS out by channel to see which ones deserve more budget and which are being subsidised by the winners, and keep the blended figure only as a top-line efficiency check.
Upload the export you already have — the dashboard computes itself, verifiably.
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