Author: Ryan Mitchell
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Web analytics dashboard: Metrics, types & examples
You’re not just building a dashboard for reporting. You’re building it so someone can open it for 30 seconds and know what to pay attention to. A solid web analytics dashboard answers three questions fast: what changed, where it came from, and what it did to conversions. Everything else is a drill-down. It should feel…
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Privacy-friendly analytics: What it is & how to get started
Most teams want clear, reliable insights without crossing any lines. That means understanding performance while maintaining user trust. Modern analytics makes this possible. You can measure traffic, engagement, and conversions with an approach that prioritizes privacy from the start. This is what privacy-friendly analytics is about. It focuses on collecting only what you need, reducing…
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A comprehensive guide to analyzing feature usage
A feature shipped is not a feature adopted. Plenty of “good” releases go unused because users don’t notice, understand, or need them yet. And unused features rarely do anything for retention. Feature usage helps you see that gap. It tells you what’s getting pulled into real workflows, where adoption stalls, and what’s quietly creating value…
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Cometly pricing 2026: What to know before you commit
Cometly pricing is easier to evaluate when you start with one question: What are you actually paying for? Pricing is where many marketing attribution decisions stall. You can like the product and still feel unsure about the plan. This guide breaks down Cometly pricing in simple terms, so you can understand the plan structure and…
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20+ important website metrics you should be tracking
Website metrics tell you what’s working. They also show you what isn’t. That matters because most conversion problems are invisible until you measure them. With the right website analytics in place, you can see the full story: where people come from, what they do on your site, and which pages move them forward or cause…
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What is cohort analysis? A guide to improving retention
If you want to understand how your SaaS is really growing, you need to look past the vanity metrics. Cohort analysis is the most effective way to see exactly how different customer groups move through your product over time. By leaning into retention analytics, you can identify the specific behaviors that keep your users coming…
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Product usage analytics: Definition, metrics & framework
Most teams don’t struggle to build features. They struggle to know which ones matter. That’s what product usage analytics is for. It turns real behavior into a clear signal: what users do on day one, what they repeat on day ten, and what never gets touched at all. Once you have that, your product metrics…
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19 common UTM mistakes (and how to fix them)
Every click on your campaign links tells a story. UTM mistakes decide whether that story shows up clearly in your data or blends into traffic that is hard to interpret. UTM tracking itself is pretty straightforward, but consistency is what makes it powerful. When your tags are structured properly, your website analytics can accurately reflect…
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A complete guide to tracking website visitors
Driving traffic is only half the battle. If you’re just looking at total hits, the actual customer journey remains a mystery, leaving you with numbers that don’t explain why people leave or what keeps them. Tracking website visitors is about seeing the behavior behind the numbers. It moves you past basic stats so you can…
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20+ best customer segmentation software for 2026
Your best customer and your worst churn risk look identical without the right data. Treating them the same way is costing you revenue. Customer segmentation software changes that. Through audience segmentation, you can group customers by behavior, demographics, and engagement patterns so every interaction feels relevant and timely. This guide is a practical walk‑through of…