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!

In the month of November 2016, Data Studio was made available for all users in India. The product was launched quite some time back, however, it was only accessible in the US and for premium Google Analytics 360 users.

However, as of today, anyone can use Google Data Studio to create dazzling reports that can be shared with teams and clients.

So how does one go about creating awesome reports?

That’s where Data Studio shines, it allows users to create one template which can be utilized across multiple data sources. I tried to create a quick report using one of the default templates provided, here’s a step by step guide on using Data Studio to create reports.

An update: As of 2nd Feb 2017, Data Studio has been declared a free product for everyone to use.

Adding a Data Source

First, we need to add our data source (in this case my site’s Google Analytics account) to the Data Studio.

Once you click on the menu, you would be directed to a screen listing all the data sources that you have added to your account.

Note, by default Google keeps some data sources in your account, so that one can practice on the product before moving on to your own data sources.

As all Google products, you can see the clear use of Material Design in this interface. Use the blue floating action button at the bottom right of your screen to add your own custom data source.

As the screenshot above shows, that most of the Google products can easily be integrated to this product. What’s more you can even use a MySQL database or a Google Spreadsheet (Excel ahoy!).

So, I could do most of my number crunching in existing styles, and use this tool only as a slick presentation layer.

After I press connect, this GA property of my site is now added to Data Studio as a source of data.

The minute you choose the right property, you would see all the dimensions and metrics that Google Analytics has. This is a pretty exhaustive list and you can import most of these into Data Studio.

Now that the important fields are linked (do check the respective fields you want to pull), we can go on to using a report template.

The screenshot shows the recently added data source. Great! We are all set to creating awesome reports!

Using Report Templates

We would be using the Acme Marketing template that’s there in the account. It broadly shows basic user level data in one simple report.

Keep in mind that Data Studio reports can span across multiple pages, but for this guide we are sticking to a one-pager.

Go back to your dashboard and choose the Acme Report template.

Click on the Use Template button, and now this is the most important point when it comes to using Data Studio report templates, choose your own data source.

Something for beginners to keep in mind again, is that if you choose the wrong data source (for e.g. of the default ones provided), then the report would be generated, however the data won’t be yours!

If in case, you have done this, it’s easy to change the data source after you have created the report.

Let’s move on to customizing the report

What I did was choose the Acme logo, and change it to the Big Fat Geek logo! A small change in the header color, and I have a branded look for the template.

This is what the finished report now looks like –

Using Data Studio

The cool part of Data Studio now shines through. What I have is a report which talks to data in real time. So I can change my data range, and my report updates!

This report can now be shared with my team or my reporting manager or clients without worrying about giving access to all the dimensions and metrics.

That’s all for today folks! It’s your turn to go and try out this tool and churn out spectacular looking reports.