Some years back I had written about the __utmz cookie that Google Analytics uses to identify source attribution for visitors. If you are interested in reading that post, click here on Understanding the __utmz cookie.

Google evolves beyond Urchin

Google Analytics is based on the Urchin tracking management system and has been improving on that system over a period of time. As I have seen this product evolve, and many more features that were not there in Urchin … one of the major changes has been in the usage of cookies.

That makes my earlier post defunct.

The utmz Cookie

The utmz cookie used to contain the information about where the user has come from, which campaign, source and medium did the user react to arrive at the site. This information could be read and stored in a separate system (such as a CRM whenever a lead is captured). This could help in attribution of paying customers, and bring in all the crunchy goodness that you wanted.

Unfortunately, the utmz cookie no longer exists.

Where does that leave us?

So how do we go about finding more information about the user. This information is now not readable. However, what information we have on hand is a unique identifier of the cookie. That much still hasn’t changed.

So let’s take a look under the hood shall we,

The _ga cookie contains a value. This is the client id of the user. If you see the cookies collection, there are multiple _ga cookies, however, when you match it with the domain column, for every user – domain combination, there is a single _ga cookie.

This cookie is accessible by your server side script as well as your client side JavaScript. Therefore, we can get access to the _ga cookie value and store the client id within.

What is a client id?

To understand this, let’s go to Google Analytics. In GA, under the Audience section, we have a User Explorer report. Here’s a screenshot from my GA –

Check the value – 129754452.1496423206

This is available in the _ga cookie as well as in the user explorer. I can now identify specific users and leads in my CRM based on their client ids.

Therefore, I can even start checking their user behavior on the site, like so –

This is how the user has been visiting the site over a period of time. Notice the source is changing for different visits.

In a world where I would have been storing just the final source in the CRM, now I have a much more detailed view of how the user keeps coming to my site. This allows me to explore other attribution models and share the credit of the user’s conversion across channels.

This brings me one step closer to the World of And.

The World of And

In case if you haven’t already watched this, you need to watch this –

Game Theory is a fascinating subject. Especially when you take it out of theoretical economics and start applying it to human collectives.

I had written about applying Game Theory to SEO, a competitive field, where the more important point was to have a strategy and keep evolving instead of having a static winning strategy.

Game Theory in Dating

Do we really need to do this?

Yes, because applying the concepts helps us to understand some of the product features (Superlike for instance).

More importantly, in a space where the one currency both the members of the dating app has, is attention. That’s the time spent with your significant other. In an ideal scenario this would be equal. This is the Nash Equilibrium state.

Nash Equilibrium in Dating

However, the more men you have in a dating app (Tinder has 60% men global, in India this is all the more skewed), the more dynamic would be the state of the Nash equilibrium. Data from Tinder has shown that men are twice as more active on such apps.

The reason behind this is simple, men are spending more currency (attention and time) to find that ideal person on Tinder. Unfortunately, because the number of men is more on the app, the amount of attention an average man would have to spend will keep going up (since the Equilibrium is unbalanced).

Nash’s equilibrium is a simple concept that helps economists predict how competing companies will set prices, how much to pay a much-in-demand employee and even how to design auctions so as to squeeze the most out of bidders. It was developed by John Nash, the Nobel Prize-winning economist and mathematician, whose life story was told…

via Why we need a dating app that understands Nash’s equilibrium — Quartz

So what?

The next time you are on such an app and if you are a woman, don’t be surprised if you are hounded by men. The equilibrium will never be reached unless you have the same amount of men and women on the app.

Take this concept and apply in real life.

In a country such as India, where sons are preferred (there I said it, and it’s not politically correct), the gender ratio in population is skewed. The Nash Equilibrium is also getting badly skewed.

You have to woo and court your significant other, not just because it’s romantic, but because it is required!

This blog has been my place to articulate my thoughts, to propose experiments and my views on multiple topics. Having said that, this is one such piece.

I would love to hear your views about this and feel free to scroll down to that comment box and leave a line (or two).

What is Game Theory?

Taking the excerpt from Wikipedia –
bq. Game theory is “the study of mathematical models of conflict and cooperation between intelligent rational decision-makers.” Game theory is mainly used in economics, political science, and psychology, as well as logic, computer science and biology.

In this piece, I am proposing that we can use the basic precepts of Game Theory and apply them to SEO strategies as well.

Originally, it addressed zero-sum games, in which one person’s gains result in losses for the other participants. Today, game theory applies to a wide range of behavioral relations, and is now an umbrella term for the science of logical decision making in humans, animals, and computers.

In Search Engine Optimization, for a particular query search, only one site can be at the top. At the cost of the search visibility of other sites.

Ergo, SEO is clearly a zero-sum scenario.

Wait, isn’t this between two players?

That’s what we construe of Game Theory … and more importantly with Prisoner’s Dilemma. However, in the real world, and in almost any market driven environment, there are always multiple players.

Such scenarios are referred to as n-person games, or in Gaming parlance – multi-player games. This gives way to something we define as Evolutionary game theory.

What is Evolutionary Game Theory?

Evolutionary game theory considers games involving a population of decision makers, where the frequency with which a particular decision is made can change over time in response to the decisions made by all individuals in the population.

So, in SEO the strategy that I can adopt at any point of time is suspect to change, and over a period of time, most players who are working on their SEO would tend to change their strategy and evolve their approach.

In economics, the same theory is intended to capture population changes because people play the game many times within their lifetime, and consciously (and perhaps rationally) switch strategies.

Ditto about SEO again. In textbook style, I could say don’t do Black Hat. However, you know it and I know it … that at some point of time in our lives we have done Black Hat. Yes yes yes, it doesn’t work and you have to pay the price, but we still have gone ahead, haven’t we?

This change in tactics, resulting in evolution of market dynamics effectively ends up changing the winning strategies of the game. A research article that talks about how the competing strategies change within a network of decision makers is available here.

To read more on Evolutionary Game Theory, here is the wiki link.

Rituals and Evolutionary Game Theory

One more interesting characteristic that mathematical biologist John Maynard Smith realized when studying the behavior of game theory in communities was that in biological communities (his research was based on Darwinian concepts and survival of the fittest) most of the players did not focus on their strategy as a winning one, but treated their strategies as at a ritualistic level.

Ergo, for most members of the population it was not important whether they were engaged in a competitive and winning strategy, but rather that they were engaged in a strategy in the first place.

Wait, what?

Let me rephrase that statement.

Players involved in playing a multi-player game, where the game itself was changing constantly, the winning strategy was not important for players.

So much, as having a strategy in the first place.

Uh, I thought this was going to be on SEO

It is.

In a game of lets-get-on-top (on Google), all of us marketers are running circles trying to figure out the best SEO strategy.

We have seen many of the oft-quoted paradigms here –

1. Content is king
2. Great Link profiling
3. Black Hat

What I am proposing is that it really does not matter which step you take … as long as you decide to take a step as per a strategy and then choosing to evolve your stance after you find out the result.

Let me state upfront that I love Google Analytics. I use it at work in 13 Llama Interactive to measure the effectiveness of the campaigns that my team runs.

That being said, I will try and not be too biased about comparing Jetpack Stats to Google Analytics. As a marketer, the way I look at an analytics package is from an ability to extract a fair amount of data.

However, Jetpack Stats is on top of WordPress and available to all WordPress based sites which are connected to the WordPress.com site. This makes Jetpack Stats primary user base as bloggers.

Let’s see what Jetpack Stats has to offer.

The wp-admin Dashboard Integration

Jetpack Stats puts a nice pretty looking graph on the wp-admin Dashboard. This is how it looks like for my site –

Now, this is fairly similar to the Audience Overview you get when you check out Google Analytics.

Straight off the bat, I prefer Jetpack Stats overview as opposed to the one given by Google Analytics. Jetpack Stats also provides me with how my posts have performed this day, this report would be available in GA witin the Behavior section, the Site Content report.

The Top Searches that you see in the screenshot would have been helpful had it been accurate. Unfortunately, Google accounts for the majority of organic traffic on my site, and most of that traffic is encrypted. Thus, these keywords that you see (really, I rank for ‘big ass girl dunes’) are not a complete set!

Jetpack Stats does not talk to Google Webmaster Tools, which now is the only source of this keyword data.

Jetpack Stats Posting Activity

One awesome feature about Jetpack Stats is the posting activity screen –

This data is shown with a correlation of average traffic per day as well as traffic per month. You could always get this data in Google Analytics (here is a useful post I had written some time back – Google Analytics for Content Marketers).

It’s just this kind of insights that makes me keep Jetpack around for my measurement requirements.

Jetpack Stats vs Google Analytics

Jetpack Stats is a very lightweight tool and it would be useful for a simple blog. However the minute we enter the realm of finding user engagement and performance marketing, Jetpack simply does not have those features yet.

This is where Google Analytics shines through with its Event tracking.

Having said that, Jetpack Stats is an apt solution for a user who is more focused on the publishing process and is using WordPress. I will continue to stick to GA!

When the first X-Men released, it was more than 17 years back. It was not a major role since there were other heavy hitters in the movie as well.

The character was rough around the edges and it always had a lone ranger kind of aura with it.

The one word description for this character has always been bad-ass.

The movie series is excellent at doing some base level course corrections – one of those being the horrible yellow spandex suits that Jackman never got to wear.

X-Men fans loved the first, and then Hugh Jackman became a regular feature in all the other movies. So much so that despite of the other X-Men being introduced (Nightcrawler, Iceman, Colossus, Gambit, etc) the one character that everyone yearned to see time and again was the Wolverine.

The Wolverine does not have an issue with aging, in fact that’s his mutant power, however, the creators of the series and the movie series knew that the character would have to be killed. This is where the adamantium that’s in his body came useful.

** Spoiler Alert **

Logan the movie is created in order to phase out Hugh Jackman as the Wolverine and bring in his daughter. The young and feral Dafne Keen.

In this movie, Logan is shown as a tired Wolverine who is slowly dying because of the adamantium in his body. We also have an Alzheimer ridden Professor X who bids adieu to the series as well.

Fans of the series will realize that Professor X is the only character in the movie series to have been killed twice on screen (thanks to the Days of Past storyline).

I won’t get into the plot any deeper. This movie is one of the most grittiest and goriest X-Men movies to be every released. Some of the signature movies of X-Men feature slick moves and awesome super powers … Logan and Wolverine are the two movies where there is a fair amount of gritty hand-to-hand fighting. If you want to see how those blades are put to use, then you definitely need to see this one!