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Google launches Machine Learning for AdSense

April 15, 2018April 20, 2018 Prasad AjinkyaLeave a comment

Google AdSense has been around for more than a decade and a half now, this along with DoubleClick for Publishers allows website owners to monetize their traffic.

One of the key challenges in this was to figure out the optimum ad placements without impacting readability and user experience of the site. This trade-off that the publisher had to do was to decide on the different ad slots to create on the web page, and then balance that with the Revenue Per Thousand Impressions (RPM) metric that the digital advertising industry is so familiar with.

In order to help publishers out, AdSense had experiments where you could test different ad layouts and figure out the best layout to monetize the site.

So what has changed now?

Machine Learning.

This is the applications of artificial intelligence which gives programs the ability to discover new rules and learn from experience without additional programming. So that means, for newbie publishers instead of having to figure out by themselves what ad formats work and what ad placements work for them, you can apply machine learning and let the platform learn on its own.

What that means, is that the publisher is now free to focus on content, and let the AdSense platform figure out the best way to monetize that content on the ad network.

Caveat Emptor

With every new feature, comes a series of disclaimers. Machine Learning requires a lot of data to get things right. If you are a small site such as this blog, then it will take a long time for AdSense to optimally figure out the right ad formats and the proper ad placements.

Having said that, here’s a very simple way using which you can get started with Auto Ads in AdSense.

Setting up Auto Ads

In your AdSense console, in the Ads section you will now find a Auto ads menu item. Click on this, and get started with the setup wizard that’s present there. If you want to know how to embed the Auto ads code in your site, Google also has a helpful support article here.

That’s it! Once the code is setup in your website, you choose the formats you want to add (I chose everything) and let it run.

So far, the results haven’t been that great. However, time will tell if applying machine learning gives great benefits for the publisher.

What benefits should one look at?

Ultimately, it boils down to increasing the aggregate Revenues per thousand impressions metric (RPM). That’s what I’d look at, I would also look at the Click through Rates (CTRs) to go up.

More information about Samara Oblast

March 27, 2018May 10, 2018 Prasad AjinkyaLeave a comment

I had blogged about getting traffic through bots leaving referral signatures, and it seemed as if the whole internet saw this happening on their sites. After I blogged this post, Moz.com came out with suggestions on putting filters on Google Analytics to clear our your analytics data.

Continue reading “More information about Samara Oblast” →

Thoughts on Social Media

February 23, 2018 Prasad AjinkyaLeave a comment

I wrote this note out for a discussion on Social Media sites and how their relationship with publishers has evolved over a period of time. It goes to show that too much of reliance on any one channel may not be such a good thing after all!

Can we as digital marketers and analysts create a measurement model that can reliably help us to identify whether our social media investments are justified?

Social Media and Creators

One of the problems that new Social Media websites face is generating enough content that users want to consume. This they do by welcoming publishers to come and register on their websites. This is the main fuel for their growth.

The social media site in question (including Facebook) does all it can to attract publishers and creators. The focus is on getting more creators and therefore more users. Users get to follow their favorite brands and celebrities on these sites. Brands and celebrities get a scalable way to engage with their fans. A win-win on paper.

A platform is born

As more users sign-up and start using the site, it soon starts being recognized as a platform. This platform now is independently known and now, creators are attracted to the platform not because its easy to publish their content or its easy to create their content … but because that platform already has their potential target audience.

So, from engagement at scale, the reason why the platform is being used shifts to reach and discovery. The very publisher who used to get throngs of crowds flocking around them now is looking at the platform as the source of that crowd. The shift of behavior due to the change in thinking is not amiss to platform owners.

From Win-Win to Monopoly

The platform owner now knows the dependence of the publisher upon the platform. E.g Facebook single-handedly crippled the stock prices of Zynga (famous for Farmville app on Facebook) by taking it off their Featured apps page.

Take the organic reach that Facebook now provides. Some years back (circa 2012), a single post on your Facebook page would be shown to 10-12% of your followers. This has slowly trickled down to 1% now (3%-4% if you have high engagement on the page). The reason behind this is because every brand out there is pushing out more and more content than what the platform was designed for, and every brand / celebrity out there wants to create content that goes viral.

Pursuit of Viral

Publishers in the pursuit of this holy grail tend to create a Sea of Crappy Content. This is loads and loads of content which does not drive engagement. Platform owners now are scared by the very publishers they used to chase. Not because they don’t need them … but because they are not clearly able to differentiate the good ones from the bad ones. The definition of quality becomes more blurred.

Zero Organic Reach

In the end, the platform owner plays the one card that they can control. Throttle the impressions and reach of the publishers. Quality is then replaced with budgets, with the underlying assumption – if you can create great content, most likely you have enough budgets to buy the impressions required to go viral.

Another example to highlight this is to look at any Facebook page which has over 10,000 likes, the last post of that page won’t even have an engagement rate of 1%. The problem may not with the page or the post in itself, it stems from the throttling down of organic reach.

So what can be done?

Do we pay the piper and buy our followers? Or do we dance to the tune of the platforms and keep pushing more content in the hopes of getting that one beautiful post that gets shared by the millions.

Can we instead, arrive at a scientific method of identifying what platform works and what doesn’t in furthering our objectives?

Webmaster rolls out new Search Console

February 1, 2018 Prasad AjinkyaLeave a comment

This has been coming for quite some time. Google Webmaster is slowly rolling out an update to the Search Console. The new search console is a much cleaner interface with most of the reports and insights hidden under multiple layers.

The Dashboard

The new Search Console dashboard is much more simpler now, with just three reports that you can view –

Performance – How your site is performing in the search results. This is similar to the Search Analytics report.
Index Coverage – How your site has been indexed and what errors does the search engine detect on the site
AMP – Information about the Accelerated Mobile Pages and how Google detects AMP on your site

The good things

Straight off the cuff, this tool provides just the right information to the user. It forces the user to engage with the reports available, and provides interesting insights that were not available before.

Take a look at this new report which tells me the impact on Search Impressions when I decided to mark 75 odd pages on noindex.

Overall, most reports even if being the same are now much more easier to understand and interpret.

Another example is the Performance report with the Pages section selected. This feature was available in the older interface as well, but now the data is much more clear and this tells me which pages should I work on to improve my CTRs.

The bad things

There are more things yet to come, and this is not a complete experience yet. I cannot only rely on the new interface. Some reports simply haven’t been incorporated into the new Search Console yet.

Reports on Structured Data is completely missing. The diagnostic set of tools and the crawl request tools are not included in the tool.

The update to the search console is welcome and I for one am glad that a much more cleaner interface is made available.

2018, the year of numbers

January 10, 2018January 11, 2018 Prasad Ajinkya1 Comment

I have been talking about data and analytics for quite some time now. So much so that, I have shifted from doing development as a service (at 13 Llama Studio), to agency as a service (at 13 Llama Interactive). The reason behind this was to capitalise on my love for data analysis and build an organisation that works with data instead of opinions.

From Full Service to Data Analysis

One of the main things that I have been doing, is never say no to anything that lands on my work desk. This is a good thing, since you can pretty much get started as a service based business and do a variety of things.

This, however, is a bad thing since it takes you away from your chosen area of work. In my case, that’s analytics.

We started off as a Full Service Digital Agency and did everything under the sun. Websites, logos, app development … product development, incubation even. Whereas, it’s a fantastic way to keep busy, it did not sate my need to work with numbers.

Saying No

The year 2017 was the year of No. I have been steadfastly refusing to engage with anything which did not involve numbers. So much so that, the organisation that I had so loving built has become an empty shell, almost.

While, this lean attitude is good for companies where there is a lot of waste, taking this to near starvation levels also does not help. Unfortunately, I keep getting such insights only as hindsight :)

What 2017 did offer was a massive consolidation of business interests, which was a good sign. It also taught me the value of human engagement and how business engagements were closely related to the simple human interactions.

Focus on Measurements

I had been going on and on about measurements for some time. I realised that without getting into this completely in your system, you cannot really appreciate this thought. Here’s a quote from Swami Vivekananda –

Take up one idea. Make that one idea your life — think of it, dream of it, live on that idea. Let the brain, muscles, nerves, every part of your body, be full of that idea, and just leave every other idea alone. This is the way to success…

To fully understand and appreciate what this means, do go through this interpretation by Srinivas Venkatram.

It took me some time to fully get this, and for me that meant focusing on analytics. It did not really mean saying No to different engagements. It means applying my love for data and analysis in whichever engagement to drive value.

2018 for me, represents just this. A year where using measurements I would drive value. Be it in product development, be it in promotions.

Using Intelligence reports in Google Analytics

December 7, 2017 Prasad AjinkyaLeave a comment

It’s always a pleasure to use a product that keeps evolving. The possibility of discovering a new feature that’s been recently launched, and the happiness of seeing the applications of that new feature is what keeps me coming back to the product. Google Analytics is one such product for me. Slowly and steadily, they have evolved the product so as to give the free tier users a taste of what Google Analytics Premium (GAP) offers.

Intelligence reports have been around for quite some time now. However, what GA has done in the recent times, is give the user the ability to articulate their question in natural language, and use natural language parsing to understand the question and present meaningful answers back to the user.

Smart and Intelligent reports

Here’s an example of how these intelligent reports work. Suppose, I see a spike in traffic yesterday, and I want to know the reason why.

Normally, I would go to the Source/Medium report in the Acquisition section and see which of the sources have had an increase in traffic since yesterday. However, what intelligent reports does is this –

So what’s the big deal?

The big deal is this. If you are not comfortable with the analytics interface or are not savvy with using the right set of reports for fetching your data, then the intelligent reports are a rather user friendly way for getting access to perhaps the right data.

Notice, in my example, the segments that intelligent reports ended up reporting was a rather advanced segment (Organic traffic, Country-wise).

To reach there, I’d have to go through atleast two separate iterations. This was given to me rather quickly.

Cool, are there any disadvantages?

There is one huge disadvantage. The data given is prescriptive in nature.

You are relying on Google Analytics to give you the right data.

While, for most use cases, the data may not be that important, but for someone whose living runs on getting the right numbers, this may not be enough. It’s good enough to get you started in the right direction though.

Why do I still like it?

The nature of querying is also pretty great. Now, business teams can directly dive into Google Analytics instead of having to wait for an agency or an analyst to make sense of this data. That’s power to the people!

This means, a lot more people can now engage with analytics and take the right data driven steps for improvement.

Category: Technology