Marketing analytics and measurement

What is marketing analytics?

Marketing analytics is the practice of collecting, analysing, and interpreting data from campaigns and channels to understand performance and guide decisions.

Why is marketing analytics critical for modern organisations?

It links activities to outcomes, helps allocate budgets intelligently, and allows teams to learn what works and what should be changed or stopped.

What kinds of data are included in marketing analytics?

Data includes website traffic, engagement metrics, campaign performance, lead and pipeline metrics, customer behaviour, and revenue outcomes.

What is the difference between vanity metrics and meaningful metrics?

Vanity metrics are numbers that look impressive but do not tie clearly to business results (like raw impressions), while meaningful metrics relate directly to leads, opportunities, revenue, or cost efficiency.

How does attribution fit into marketing analytics?

Attribution models assign credit for conversions across touchpoints, helping teams understand which channels and activities contribute most to results.

What are common KPIs in B2B and SaaS marketing analytics?

Common KPIs include cost per lead, MQL and SQL volume, pipeline influenced, win rates, customer acquisition cost, payback period, and lifetime value.

How do dashboards support marketing analytics?

Dashboards bring data from multiple sources into a unified view, making it easier for teams and leadership to monitor trends and act quickly.

How often should marketing performance be reviewed?

Tactical metrics are often reviewed weekly, while deeper pipeline and ROI views are typically reviewed monthly and quarterly.

What skills are important for marketing analytics roles?

Analytical thinking, understanding of marketing channels, familiarity with analytics tools, basic data manipulation, and the ability to tell a clear story from numbers.

How should insights from marketing analytics be used in planning?

Insights should directly inform which campaigns to scale, which to redesign, where to invest more or less, and which audience segments or messages need new approaches.

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