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Forty-second E-Webstyle.com Internet Marketing Podcast Dec. 11th 2009. Third page of Transcription
Paul: Google Intelligence is a part of Google Analytics. We’ve covered numerous podcasts on different aspects of Google Analytics.
Chris: Or numerous podcasts.
Paul: Yeah, that works with me. If you like to abbreviate? (laughing) So, again, if you’re not doing some sort of Analytics — what is Google Analytics, Webalizer, whoever analyzer, you need to be doing it with — I mean it’s a million podcast and we talked about why you should be doing it. Bottom line, it will help you. It’ll help you learn who’s doing what on your website, how to make it better.
Paul: So what exactly is “intelligence”?
Chris: Well, that’ when you’re kind of smart.
Paul: All right. Okay. Go …
Paul: In podcasts, not here. (laughing)
Chris: And when it’s Google Intelligence, it’s like off the charts.
Paul: It’s like — it’s Google’s — the word Google is so smart.
Chris: All right. Yeah. So, Google Intelligence. What they’ve done is they’ve kind of — really they’ve applied a lot of fundamental and statistical analysis to your analytics.
Chris: Right. So, you know, what do they cover? What are some of the general things they cover in Analytics?
Paul: Unique visitors.
Chris: New visitors.
Paul: New visitors, bounce rate, page views, time on site — these are all big metrics.
Paul: What else? Entrance pages, exit pages — and very important metrics that it covers and just the normal Google on the dashboard, you can see all these things on the dashboard. That’s what it normally covers. I assume that …
Chris: So, you can look at each one of those like on a day-by-day basis. What are my bounces for today? What are my new user bounces for the day? What are my return user bouncers for the day? You know, there’s a lot of information just on a daily basis that you can, you know, cross, intermingle, and really look at and get a good idea what’s happening on your website.
Paul: And then you can get more complicated and do it for the day, for the week, for the month, for the year, for this two-day period, whatever.
Chris: On top of that …
Chris: … instead of you having to like pull all those information into Excel spreadsheet or into some sort of database and then kind of do statistical analysis, basically Google — it really could be called Google Statistics.
Paul: Okay. Google Stats.
Chris: Or Google Statistic or Analysis.
Chris: I think Google Intelligence probably sounds a little better.
Paul: Well, they already had AWStats so they don’t want to do with Google Stats.
Chris: Oh, yeah, yeah. Right.
Paul: You know, Google has always got to be the biggest and the baddest. It’s got to have everything new. So far they’re working.
Paul: Now, I’m following right along by trying all their new products.
Chris: All right. So, Google Intelligence, what we did basically is we went in — believe it or not, we’re actually take — we have Google Analytics on our own website.
Paul: Oh. (laughing)
Chris: Can you believe that?
Paul: Wow! Really?
Chris: So, we just don’t sit here on the podcast and say, “This is what you should do.” We actually do it.
Paul: We actually do it. We practice what we preach.
Chris: And as soon as they added Google Intelligence, right now if you sign into your Google Analytics account — in fact, it’s the little second link on the left margin so left if you’re looking this way. The first one is dashboard. The second one is intelligence beta.
Paul: Intelligence beta.
Chris: And under intel — you click and under that comes daily alerts, weekly alerts, and monthly alerts. So, what this is — and what — again, what this is is the statistical analysis of the events that are going on and then all it’s doing is it’s looking at anomalies. What are the days where a particular set of information is outside of a norm?
Chris: And I think they’re probably just looking — what is the statistical term. There’s a statistical term for it.
Paul: For anomaly?
Chris: Yeah. It’s — anyway
Paul: Anomaly? (laughing)
Chris: We’re going to anomaly. So, what we did is we printed for e-webstyle. We printed out, you know, some of the — some key ones and there’s a couple of day — you know, we looked at one day where there a number of alerts, one week where there are a number of alerts, and one month and we got those printed here. You see me flipping through pages if you’re smart and you’re signed in on USTREAM which you can catch us at 9:15 …
Chris: … Central Standard Time.
Paul: Every Friday.
Chris: Every Friday starting next year.
Chris: So, here we’re looking at — we’re actually looking at Friday, December 4th.
Chris: And we’ve got one, two, three, four …
Chris: … anomalies.
Chris: Alerts, yeah.
Paul: What were these anomalies based on?
Chris: And remember these are automatic and so …
Chris: And I think — the word I was looking for is what they pull out as things that are outside the standard deviation.
Chris: That’s the statistics term. You may — I don’t know if you know what it is but …
Paul: And oh, gosh. That’s a probability.
Chris: You know, I actually — I tutored when I was in college.
Chris: And the most I ever charged was statistics. I charged 15 bucks an hour and I never took statistics. And I’ve told the girl, I was like, “Look, I’m going to learn it.”
Chris: And then — right here in front of you and teach it to you.
Paul: You know what I did in college statistics? I cheated.
Paul: That’s right. And I graduated.
Chris: Shout out to your professor.
Paul: No. Shout out to the guy who cheated off her. (laughing) Edited chatelier (laughing).
Chris: That sounds cajun for chatelier.
Chris: Oh, okay. Cool. All right. Here we are. So, the first notice here is average time on site. The day is for us is Friday, December 4th, and it says that the — we got a couple of pieces of information. So, total traffic, 206%.
Paul: Oh, this is …
Chris: And this is — so 206 is going to be up …
Chris: … like 50% would be half so that would be down. So, 100% would be just the same.
Chris: Normal. What it’s saying is the actual time was 1:06, normal time is 17 seconds to 30 seconds. So, it’s saying, on December 4th we got people on average spent a minute and six seconds on our website.
Chris: So …
Paul: That’s something I want to know. Hey, I’d be getting a lot more traffic on this particular day. Is it today? Is there something big in the news today? Anybody wants to buy my products and services? Is it a Saturday and everybody is just off or work surfing the Internet? Is — I mean did I run a special? I think that’s pretty cool to know. I’d like to know that.
Chris: And then, you know, a lot of these — well, I feel that a lot of these alerts are just kind of cause for additional research, right?
Chris: So, you know, what happened on December 4th at, you know, call us people the standard site significantly numbered, 206%.
Paul: 206%, longer than they normally do.
Chris: Exactly. And then a visitor typed new. So, that was a number for total traffic. For new visitors, we actually had a minute and 11 seconds, that’s a 385% of the norm.
Chris: The norm normally being four to 18 seconds.
Chris: So, interesting stuff, right?
Paul: So — and those are per day, right?
Chris: The — well, in this case, yes. This is one day where we had the four alerts and that was one of the alerts. Another alert was goal conversion rate. So, we’ve got a number of goals — we talked about that in our last podcast — figure out why you’d want to have a goal, make sure you go back to those podcasts, and this one was talking about — it did say what specific goal but we have a collection of goals and it’s saying, oh, it’s actually goal number one. So, goal number one, we had 500 — it was up 500% for total traffic.
Chris: For a new visitor, it was up 500%. That kind of implies that it’s looking at same numbers there. So, why don’t we convert more goals on that day?
Paul: Are others the same day?
Chris: Same day, December 4th.
Paul: Well, I’d say a portion of it is because we receive more traffic.
Paul: Just from statistics and the probabilities.
Chris: And the traffic stayed longer.
Paul: They stayed, yeah.
Chris: So, they ended up closing the goals.
Paul: Okay. So, whatever we did on Friday, December the 4th, we need to do again.
Chris: More often.
Paul: There you go. All right. Oh, crap! I was — hang it. Pia, happy birthday.
Chris: Pia, happy birthday.
Paul: I love you. That’s my sister. Her birthday was last Friday and I told her I was going to say it on the podcast. I forgot.
Chris: Oh. Happy belated birthday.
Paul: (laughing) Mom, this is to Pia. Hey, I love you. Sorry.
Chris: Oops. Oops.
Chris: Next year.
Paul: Yeah. (laughing)
Paul: Oh, shit! Momma, happy birthday today.
Chris: Oh, you almost forgot that.
Paul: Yes, yes, oh, my gosh!
Paul: I love you, mom. Today is our momma’s birthday. Oh, boy! (laughing)
Chris: Happy birthday, Mr. Hanson.
Paul: (laughing) Gosh! I lost my train of thought. You know, I found something cool. Oh, go ahead.
Chris: No, go ahead. Okay. I got one more goal here. Let’s finish this for the day.
Chris: Same day per visit goal value. So, we actually have a value that’s tied back to the goals. And there was another goal here. We had goal one. It also increased — well, no. That’s goal value. So, interesting day on December 4th. And interesting, these alerts — I don’t know if I mentioned — these are automatic. You can set other alerts if you wanted to monitor — I was looking at some other stuff. You can actually track traffic in California increased on one of our websites. It increased like 300%. So …
Paul: That was automatic? You set it up or that was automatic?
Chris: That was automatic.
Chris: So, you can set up things like that.
Paul: That’s cool.