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On Sept 5th I had the distinct pleasure of being invited to present as a part of the Authors@Google series. As the author of a new book it was such a thrill to be invited, especially when you look at impressive authors who have been invited (some of my favorites: Seth Godin , George Soros , David Brooks , Ben Cohen , Clotilde Dusoulier ). The title of my talk was: Redefining Web Analytics.
It is quite likely that your company is spending tons of time, energy, and dollars on web marketing efforts yet conversion rates (or ROI) are stuck in the two to three percent range. You are trying really hard to figure out how to improve the performance but you are stymied by the fact that there is ton of data and you have no idea where to start. Ms.
The VP of a Fortune 100 company recently asked for some advice. They were heading into their peak selling season that would last only three months max, and they only had an ability to measure revenue from the website, nothing else. They did not have any web analytics tool. Her question was: Which analytics tool do you recommend because we want to improve our website and increase sales.
I love Internal Site Search data. It is a amazing peek into customer intent, which usually is quite elusive in our normal clickstream data. I had first written about the wonders of site search analysis in a June 2006 post: Are You Into Internal Site Search Analysis? You Should Be. It is also covered in detail in Web Analytics: An Hour A Day. Google Analytics's launch of internal site search analysis today is a great excuse to revisit the world of site search.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Someone highly salaried : "You know what our problem is? We have too many damn tools!" Me : "Oh, hm…" Someone highly salaried : "Thanks for agreeing with me, now please help us fix it!" Me : "No I meant, oh hmmmmmmm. " Someone highly salaried : "What do you mean? You are not going to solve my problem of getting a single source of truth for all my web data?
For some reason there is so much on this blog about the “business side” of things but not much technical stuff. So to make up for that this post covers some of the “technical” best practices around tracking with your web analytics tools, especially if you are using JavaScript tags. Often the job of implementation is left to the friendly neighborhood IT person and your web analytics vendor.
It is a bit hard to believe that it has taken a year to talk about measuring effectiveness of individual pages on a website. It is perhaps a reflection of my belief that we already focus way too much on micro reporting on our websites, most of which is comprised of too much page level analysis. [For my point of view on how to start your analysis please see this post: Getting Started With Web Analytics: Step One - Glean Macro Insights.].
It is a bit hard to believe that it has taken a year to talk about measuring effectiveness of individual pages on a website. It is perhaps a reflection of my belief that we already focus way too much on micro reporting on our websites, most of which is comprised of too much page level analysis. [For my point of view on how to start your analysis please see this post: Getting Started With Web Analytics: Step One - Glean Macro Insights.].
This probably impacts a minority of web analytics practitioners, normally only those with large websites with millions of page views per month / week / day. I know that there are lots of you out there. :). When you are generating that much data from your website with your javascript tag based solutions there are a couple of "delightful" problems: It starts costing you lots of money because most javascript tag based solutions are pay for play (seems fair, it costs them money to collect
Interviewing is art, and perhaps the most important thing you could do for your company. My post with tips on hiring web analysts ( Hiring? What Works: Fresh blood or old hands? Experience or Novicity? ) generated lots of comments [25!] and emails. The most common request was for tips on how to pick the right employer, I think that's a reflection that this is a buyers market [I promise to write that post just as soon as I can].
I am a NPR junkie (and support my local station KALW ). Driving to the airport last Monday I was surprised to hear a segment about "behavior marketing" NPR covers everything of course but for some reason it was surprising to hear of the current technology cool thing on NPR! Now that NPR has covered this I feel I am late to the party!! Behavior targeting has been the news a lot recently.
I am thrilled to say that my book Web Analytics: An Hour A Day has been published and is now widely available. Thrilled is perhaps understating it, I am giddy like a schoolgirl. There I said it. It has been such an amazing journey to write the book, and for it to come up almost exactly a year after I started this blog. All the hard work seems to be worth it when I hold my third child in my hands.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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