Thread by @althecat

So the G4A Google Analytics upgrade has just gone live (in the last few days) and our old analytics platform is no longer recording data.

And on first glance it is much much better than I had expected. The data presentation and UX is significantly improved on what I have seen in the pre-release versions over the past few months. You may need to open this image ful screen to see it. But its a .gif animation of live data, I think over the course of 24 hours . Which is pretty nifty.Scoop.co.nz

[Actually It might just be of the last 30 minutes... which makes more sense as that is what it says on the page.]

Continuing a small survey of what we can see here.

Here are some images of one of the opening data summary views - again looking at user location data.

has a remarkably large geographic coverage, due to our age, depth of our database (23 years) and authority (Google PR). So this is not really typical.

And what G4a tells us now is more useful and accurate than what was previously available. And because it is "unsampled data" over the 30 day period - much much more accurate.

Our previous sampled location data analytics whch I have posted occasionally before, show that @ScoopNZ has readers nearly everywhere except Togo, Svalbard and Greenland - but in many cases (e.g. pacific island states) the number of users is shown as "1".

In G4a we can now see detailed metrics at a granular heuristics at Nation State level - based on complete 30 days of data (it says on the box). I expect this can probably also be done within more confined geographical areas by city at least. Haven't looked yet.

But this is very very encouraging.

This larger scale view does not say it is not sampled data, but I suspect it is as it is over the same 30 day time frame. And this provides us with accurate reliable page count (impression) data which is very important from a sales perspective. We also use DFP for adserving - or did when we sold ads - which I understand is integrated a little more closely into this new analytics suite than it was into the previous Google analytics suite - which is now around 15 years old (at least that's how long we have been using it - I think its a couple of years older)

This recent thread - occasioned by the European launch of I highlighted Scoop's Novel monetisation strategy.

We have an #EthicalPaywall [ see https://t.co/yVf3EdzHvF] which has recently received some support and funding from the @GoogleNewsInit Innovation Challenge program (Asia Pacific Region) to develop some open source technology to allow other publishers to adopt our model.

https://t.co/IlPM2PvuOqbard.google.com
pro.scoop.co.nz

.... I tell the story of the history of from and discuss the role of the "eco-system" players (now platforms) involved in the news side of online media at the dawn of the internet. Scoop's three founders had a predecessor site from 1996 to 1999 - so this really takes us back to the start - and includes lots of screenshots.

THREAD LINK: >> https://t.co/IlPM2PvuOq

The point of the thread was to look at the evolution of news monetisation, comparing the roles played by Yahoo and Google, which were the two advertising giant platform businesses whose arival started the destruction of the viability of online advertising as a business model (In NZ back in the 20th Century before Google was a household name, NZ was a very a subscale digital advertising market.

Digital advertising finally got going in the 21st Century but even then not a viable source of income for Scoop (a small independent) expect during the golden years of 2004-2008 when Yahoo and Google were dominating expansion of the digital advertising market and technologies associated with it.Scoop.co.nz

The thread's overall "point" is that the AI revolution threatens the existing of all the remaining news business models. Whole sale corporate govt. and instiutional scraping of training data from the internet + the ability of AI (coming soon) to personalise access to news and turn it into a QA between everyone and their Alexa like device is a very sigificant threat to the existence of the core function in journalism - "reporting" i.e. being there, on the ground when things happen - as this is not cheap. Even now most journalists work from desk most of the time sadly. But there is at least sufficient earning capacity from news output to employ reporters - AI now threatens our existence.

On first glance the capabilities and credibility of this newly released Google Analytics suite may help increase its ability to sell - and is therefore a little like a break in the clouds of the approaching storm.

@GoogleNewsInit /ends

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