Cerv Performance Marketing Dashboard

Spend data pulled from the Google Ads API (all 12 MCC accounts). MQLs from CallRail API (calls ≥ 60s). Revenue attribution from HubSpot CRM (closed-won deals matched via UTM params, GCLID & hs_analytics_source). Sales verified against ISS Google Sheet tracker.
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Service
Total Spend
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Total MQLs
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Cost per MQL
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Avg Daily MQLs
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MQL Volume by Service Line

Cost Per MQL Over Time

MQLs by Day of Week

Daily Breakdown

Date Spend MQLs Cost/MQL Services TCV Cost/Svc Cost:LTV

Growth Model & Spend Capacity

How much can we spend on Google Search while keeping CAC ≤ $430? Modeled 528 combos → 280 where we operate → 194 passed CAC test.

Budget Pacing

Current month projected vs. modeled ceiling

CAC Guardrail

Current Cost/Service vs. $430 target

Campaign Continuity

Consecutive days ads running (target: 90+)

Growth Waterfall

Annual ceiling unlocked by loosening each constraint

Seasonal Spend Curve

Modeled monthly ceiling vs. actual spend

Combo Pass/Fail Analysis

280 service/market combos tested against $430 CAC

Key Restrictors

What's holding spend back & how to unlock it

MQL Qualification Funnel

From inbound to qualified MQL — where leads drop off

MQL Disposition Reasons

Disposition Breakdown

ReasonCount% of Total

MQLs by Service Line

ServiceMQLs% of MQLs

Why MQLs Were Lost (transcript analysis)

MQL Loss Reasons

AI-analyzed from CallRail MQL summaries

ReasonCount%

Sample MQL Insights

Losses by Service Line

Daily MQL Routing Trend