Marketing AnalyticsApr 22, 2026
Marketing analytics is the practice of collecting, measuring, and interpreting data from your marketing activities to understand what's working, what's not, and where to invest next. The challenge isn't a lack of data. In 2026, the problem is the opposite: too much data, scattered across too many platforms, making it hard to answer the simplest question: "Is our marketing working?"
Marketing AnalyticsApr 22, 2026
Marketing attribution is the process of identifying which marketing touchpoints contributed to a conversion or sale — and how much credit each deserves. Without attribution, you're spending money across multiple channels without knowing which ones actually drive revenue. The goal of attribution is to answer: "If a customer saw a Facebook ad on Monday, read an organic blog post on Wednesday, clicked a retargeting ad on Friday, and converted on Saturday — how much credit does each touchpoint get?"
Marketing AnalyticsApr 22, 2026
Most marketing teams track too many metrics and act on too few. They build dashboards that look impressive but don't drive decisions. They measure what's easy to measure rather than what connects to revenue. This guide cuts through the noise: here are the KPIs that actually predict revenue, which vanity metrics to stop tracking, and how to build a marketing dashboard that earns trust from your CEO.
Marketing AnalyticsApr 22, 2026
Marketing ROI (Return on Investment) measures how much revenue or business value marketing activities generate relative to their cost. It's one of the most important — and most contested — metrics in business. The tension: marketing creates awareness, trust, and demand at the top of the funnel that converts to revenue weeks, months, or years later. Measuring the contribution of a blog post to a deal that closed six months after the post was first read is genuinely hard. But "hard to measure" has become an excuse for "we don't know if this works."