If you cannot measure it, you are guessing. Marketing analytics, conversion rate optimisation, and funnel architecture turn intuition into evidence and evidence into better decisions.
The gap between good marketers and great ones is usually data literacy. Not dashboards and vanity metrics, but knowing which numbers actually predict outcomes and which ones just make reports look busy.
Marketing attribution analysis is the process of assigning credit to the channels, campaigns, and touchpoints that contributed to a conversion, so you can make smarter decisions about where to invest your budget. Done properly, it gives you a working map of how your channels interact. Done badly, it gives you a map that points confidently…
Web analytics measures what happens on your website. Measuring digital marketing goals means connecting those events to business outcomes. Most teams do the first part well and the second part poorly, which is why so many analytics setups produce dashboards full of numbers that nobody acts on. The gap between data collection and commercial insight…
The most important KPIs for a B2B enterprise SaaS marketing organization are the ones that connect marketing activity to pipeline, revenue, and retention, not the ones that are easiest to report. That means prioritizing metrics like Marketing Qualified Leads, pipeline contribution, Customer Acquisition Cost, Net Revenue Retention, and time-to-close, while treating vanity metrics as context…
The bow tie sales funnel is a model that treats the customer relationship as two connected funnels: one focused on acquisition, and one focused on retention, expansion, and advocacy. Where the traditional funnel ends at conversion, the bow tie continues, recognising that the revenue a customer generates after the first sale often dwarfs what it…
The B2B lead generation market has shifted considerably over the past three years, and most of the commentary around it is either too optimistic or too tactical to be useful. What the data actually shows is a market under pressure: longer sales cycles, higher cost-per-lead benchmarks, and buyers who are further through their decision-making process…
Measured incrementality testing is the practice of isolating the causal effect of a marketing activity by comparing outcomes between an exposed group and a holdout group that did not see the activity. It answers one question that most marketing dashboards cannot: would those sales have happened anyway, without the ad? Most attribution models tell you…
Practical marketing intelligence
for people who think.
© 2026 The Marketing Juice