Marketing Analytics Dashboard

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📊 Marketing Analytics Dashboard — Datathon Step 2

Section 1 — Executive Overview
Section 2 — Variable & Data Understanding

Dependent / Outcome Variables

Revenue Generated ($) ROAS Conversions Conversion Rate (%) CPA

These measure marketing effectiveness and business return. They are the outcomes the analysis seeks to explain.

Explanatory / Segmentation Variables

Marketing Channel Campaign Type Target Audience Device Type Content Type Ad Spend ($)

These define segments and inputs. Performance differences across these dimensions are explored — not causal claims.

Numerical Measures

Ad Spend Impressions Clicks Conversions Revenue Lead Score Customer LTV Churn Risk Satisfaction Rating

Categorical Dimensions

Marketing Channel Campaign Type Target Audience Device Type Content Type Lead Stage Attribution Model State / City
Section 3 — Channel Analysis

ROAS by Marketing Channel

Conversion Rate (%) by Channel

CPA ($) by Channel — lower is more efficient

Revenue vs Ad Spend by Channel

Section 4 — Campaign Type Analysis

ROAS by Campaign Type

Revenue by Campaign Type

Section 5 — Audience Analysis

ROAS by Target Audience

Conversion Rate (%) by Audience

Section 6 — Funnel & Lead Stage Analysis

Lead Stage Distribution

ROAS by Lead Stage

Impression → Click → Conversion Flow

Section 7 — Efficiency Analysis

CPA by Campaign Type (lower = more efficient)

CTR (%) by Device Type

ROAS by Content Type

Revenue by Device Type

Section 8 — Key Findings
Section 9 — Data Quality
Raw Records
6,695
Source file records
Duplicates Removed
195
Duplicate Campaign+Lead ID pairs
Analysis Records
Cleaned, deduplicated
Channel Labels Fixed
670
Standardised to 7 channels
Audience Labels Fixed
7
Standardised to 6 segments
Lead Stage Labels Fixed
19
Mapped to standard funnel stages
Invalid Negatives
270
Base metrics set to blank
Variables
34
Including 6 formula KPIs
Causal Claims
None
Observational analysis only
The dataset was cleaned before analysis. Messy categorical labels (mixed case, spacing, abbreviations) were standardised. Negative spend values and impossible click counts were treated as invalid and excluded from KPI calculations. Date fields in inconsistent formats were parsed and normalised. The cleaned sheet (02_Cleaned_Data) is the source for all analysis shown here.
Formula Methodology
CTR
Clicks / Impressions × 100
Click-through rate (%)
CVR
Conversions / Clicks × 100
Conversion rate (%)
CPC
Ad Spend / Clicks
Cost per click ($)
CPM
Ad Spend / Impressions × 1,000
Cost per 1,000 impressions ($)
CPA
Ad Spend / Conversions
Cost per acquisition ($)
ROAS
Revenue / Ad Spend
Return on ad spend
Section 10 — Data Explorer