This is just an example of the kind of insight you can gather
Posted: Sun Dec 22, 2024 7:03 am
I'm showing off tools and techniques here rather than specific insights. I'll leave you to do your own playing to discover interesting things about your clients and competitors. I didn't know what I was going to find when I started diving into the data for this site. You likely won't know either, but graphs are great discovery tools. Sometimes, of course you find nothing of interest: Comparing top pages Comparing just the top two pages doesn't give us any very meaningful insights except that the big links out at 6.
5-7 DmT to location A probably explain why it's m taiwan email list ore powerful than B. It might be more insightful at a lower granularity. Equally, I haven't yet learnt to understand the meaning that I am sure is buried in charts like this one: Individual links chart This is the number of links to a whole site by the mR of the linking page. Like the mythical guys who can understand network traffic by watching LEDs blink on routers, I'd love to be able to look at this kind of chart and really understand things.
The closest I've got so far is that I think these charts should look roughly smooth in the absence of manipulation. If we assume that the difficulty of acquiring a link is roughly correlated to its strength and that we get links at a rate inversely proportional to their difficulty, then I think this chart should look roughly like a Poisson distribution: Poisson distribution Which this one does, so I'm happy. Persuading management / bosses The next thing that some of these charts helps with is making the case to management when you know something is true, but they need more persuading.
5-7 DmT to location A probably explain why it's m taiwan email list ore powerful than B. It might be more insightful at a lower granularity. Equally, I haven't yet learnt to understand the meaning that I am sure is buried in charts like this one: Individual links chart This is the number of links to a whole site by the mR of the linking page. Like the mythical guys who can understand network traffic by watching LEDs blink on routers, I'd love to be able to look at this kind of chart and really understand things.
The closest I've got so far is that I think these charts should look roughly smooth in the absence of manipulation. If we assume that the difficulty of acquiring a link is roughly correlated to its strength and that we get links at a rate inversely proportional to their difficulty, then I think this chart should look roughly like a Poisson distribution: Poisson distribution Which this one does, so I'm happy. Persuading management / bosses The next thing that some of these charts helps with is making the case to management when you know something is true, but they need more persuading.