What marketing metrics should I track?

Focus on metrics that connect to business outcomes: cost per acquisition, customer lifetime value, marketing-attributed revenue, and return on ad spend. Avoid vanity metrics (impressions, followers) unless they clearly correlate with revenue. Start with 5-10 key metrics and add detail as your analytics maturity grows.

How do I set up marketing analytics properly?

Start with Google Analytics 4 configured with proper event tracking and conversion goals. Implement UTM parameters for all campaigns. Connect your CRM data to see the full funnel. Build a dashboard showing key metrics by channel. Ensure data accuracy before making decisions -- bad data leads to bad decisions.

What is the difference between reporting and analytics?

Reporting shows what happened (descriptive). Analytics explains why it happened and what to do about it (diagnostic and prescriptive). Good analytics goes beyond dashboards to identify patterns, test hypotheses, and recommend actions that improve marketing performance.

Book Free Assessment Calculator

Marketing Analytics

Also known as:marketing data analysismarketing measurementmarketing performance analytics

The practice of measuring, managing, and analysing marketing performance data to maximise effectiveness and optimise return on investment across channels and campaigns.

In-Depth Explanation

Marketing analytics is the practice of collecting, measuring, and analysing data from marketing activities to evaluate performance, understand customer behaviour, and inform strategic decisions. It transforms raw marketing data into actionable insights.

Key marketing metrics:

Acquisition: Cost per lead (CPL), cost per acquisition (CPA), traffic sources
Engagement: Click-through rate (CTR), time on site, bounce rate, pages per session
Conversion: Conversion rate, lead-to-customer rate, average order value
Revenue: Return on ad spend (ROAS), customer lifetime value (CLV), marketing-attributed revenue
Retention: Churn rate, repeat purchase rate, net promoter score (NPS)

Analytics tools and platforms:

Web analytics: Google Analytics 4, Adobe Analytics, Matomo
Marketing dashboards: Databox, Klipfolio, Google Looker Studio
Attribution: Multi-touch attribution platforms
BI tools: Power BI, Tableau, Metabase for deep analysis
Channel-specific: Google Ads, Meta Business Suite, LinkedIn Campaign Manager

Analytics maturity levels:

Descriptive: What happened? (Reporting and dashboards)
Diagnostic: Why did it happen? (Analysis and segmentation)
Predictive: What will happen? (Forecasting and modelling)
Prescriptive: What should we do? (AI-driven recommendations)

Effective marketing analytics requires clean data, proper tracking implementation, and the ability to translate data into business decisions.

Business Context

Marketing analytics prevents the common trap of continuing to invest in underperforming channels while underinvesting in what actually works, typically uncovering 20-30% budget optimisation opportunities.

How Clever Ops Uses This

Clever Ops builds marketing analytics infrastructure for Australian businesses, connecting data from multiple platforms into unified dashboards. We implement proper tracking, build automated reporting, and create custom analytics that answer the specific questions each business needs to make better marketing decisions.

Example Use Case

"A services company implements a unified marketing dashboard connecting Google Analytics, HubSpot, and Google Ads data, revealing that organic search generates 3x the ROI of paid social, prompting a budget reallocation."