Category: AI-powered analytics
-
SEO attribution models: Who gets the credit for SEO leads?
Ever wonder how your SEO efforts are actually paying off? SEO attribution models are here to give you the answer. Instead of just throwing a bunch of strategies out there and crossing your fingers, these models help you see exactly which parts of your SEO are leading to conversions. Think of it as finding out…
-
10 revenue attribution tools for 2026 that you can trust
Most “wins” look obvious. Until you ask where the revenue came from. A spike in signups. A handful of deals closed. A campaign that keeps coming up right before the demo gets booked. Revenue attribution tools turn all that activity into a story you can trust. They show what started the journey, what built confidence,…
-
HubSpot revenue attribution: Turn your deal timeline into a revenue map
If you can’t explain why a deal closed, you can’t repeat it. HubSpot revenue attribution helps you see the full sequence of touchpoints that showed up before revenue, such as the first visit, the nurture email, the pricing page view, or the demo that sealed the deal. Once you can see those touchpoints in order,…
-
Average customer acquisition cost by industry: 2026 benchmarks
Are you paying too much to acquire each customer, or just operating in a high-cost industry? The average customer acquisition cost varies dramatically by business model, channel, and market, and misunderstanding it can quietly kill profitability. Whether you run a SaaS platform or manage an e-commerce brand, knowing how your CAC compares to industry benchmarks…
-
Google Search Console dashboard inside your analytics
Search performance data is one of the most valuable signals for growth.It tells you what people are searching for, how they find you, and which pages Google trusts. Google Search Console gives you that data. But using it effectively is another story. Most SEO teams open Search Console, scan a few charts, export a report,…
-
The importance of machine learning in analytics
Analytics is now part of everyday decision-making. Most organisations collect data continuously from systems, websites, transactions, and external sources. The challenge isn’t access anymore. It’s turning constant data flow into decisions people can act on. That’s where machine learning in analytics earns its place. Instead of relying only on static dashboards and fixed reporting cycles,…
-
Product stickiness: How to drive repeat usage
You can usually tell when a product “clicks” in the first few minutes. Not from what people say, but from what they do next. They build their first dashboard. They invite a teammate. They come back the next morning to check one number. That’s the moment when product stickiness stops being a concept and starts…
-
How to reduce drop-off rate and increase conversions
Imagine this: people click your ads or land on your site, start moving through the funnel, and then vanish before the finish line. You open your analytics, see the journey laid out step by step, and still watch conversions stall halfway through. It’s frustrating because success feels close, but something keeps slipping through your fingers.…
-
Understanding the divide: Paid vs. free user behavior
If you were to concisely describe how paid users of a service behave, compared to how free users behave, it would be this: the free user clicks around; the paid user gets things done. And this has nothing to do with the fact that the free user doesn’t need the product. Once a free user…
-
HockeyStack pricing: Is it worth the spend?
When you’re evaluating a new tool, one of the first questions that pops up is: how much is this going to cost me? And with HockeyStack, that’s not the most straightforward question to answer. The pricing details aren’t immediately available on their website, which can leave you wondering about the cost. We get it. You…