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Brits Struggle with Shopping Apps

Brits are increasingly struggling to control their out of hours shopping expenditure which is leaving them out of pocket, says a new survey.

The findings reveal that the apps encourage users to spend more than they intend to so they lose track of outgoings.

The convenience of apps and the ability to make purchases with the click of a button mean growing numbers of British smartphone users are opting to use them.

The findings from the Financial Services Compensation Scheme (FSCS) also found that 15% of users are using shopping apps at work, 89% are using them in the morning and 38% use apps for shopping when in bed.

Also, 61% of users say the apps make it easier to spend and 31% say shopping apps have had a negative impact on their finances.

On average, men are spending £115 a month on shopping apps while women spend £131.

New app helps offenders and families

A new app has been launched to help offenders and their families in the UK’s prison system.

The man behind it, John Burton, says the app is ‘revolutionary’ and with its £1 cost to download, it’s received more than 35,000 online recommendations.

The app aims to help families keep track of their loved one through the prison system including inspecting a log of medications, what education is being received and arranging visits easily.

Drinkers enjoy pub app

When JD Wetherspoon unveiled its new table service app earlier this year they didn’t realise how popular it was going to be.

Indeed, while its main aim is for customers in a Wetherspoon pub to pay for drink and food without going to the bar it’s also popular for another reason.

That’s because drinkers have also begun using it to ask their friends to buy them a drink using the app – regardless of where they may be in the world.

Wetherspoon’s say they are happy with the inadvertent use for its app and a spokesman said: “We are delighted the app is being used by those to buy drink and food for friends thousands of miles away.”

Users urged to be wary of scam apps

While there are thousands of high-quality apps in Apple’s App Store, there are growing numbers of scam apps too.

Indeed, many of these scams will be free to download but will hit the user with expensive weekly subscription fees.

One app was charging around £80 every seven days for users.

Researchers say the app in question was ranked number 10 for being among the top productivity apps.

The app, ‘Mobile Protection: clean and security VPN’ was earning around £63,000 every month, according to researchers Sensor Tower, mainly down to search ads.

Apparently, Apple is now improving its search ads service to prevent future scams appearing.

Progressive Web Apps will take off

Businesses are being urged to turn to Progressive Web Apps (PWAs) to help recapture their audiences as app fatigue sets in for growing numbers of consumers.

The call is being made by Alchemy Digital’s Will Morris who says that these web apps will usher in a new era for brand engagement.

Among those who have begun using PWAs are Twitter and the BBC as well as stores such as Lancome with the appeal being for those firms who have an app that is not perform performing well enough.

He says that the big attraction for investing in PWAs is that they only need to be built once and can be deployed instantly across a range of platforms.

In other Miratrix mobile phone app news …

Sony has unveiled its PlayLink app which will enable users to play PlayStation games on their mobile phone. Essentially, they no longer have to watch friends playing and can now join in using their iOS or Android device.

Apple SearchAds, What to Watch Out For When Matching | MTX61

Watch this video on YouTube.

Hello. Welcome to this week’s video.

I’m gonna talk about Apple search ads and something that I’ve noted. May not universally be correct. Feel free to stick that in the comments and we can talk about it, share what we’re seeing.

What I’ve been very lucky to have is a client that allows me to be a broad match generic term. This has allowed me to roughly see how the app store match and algorithm works. For example, if you have a generic keyword, that generic keyword will match really, really well to a brand. I’m assuming that that generic keyword in it’s keyword group. Equally, brands will match very well to that generic keyword.

However, generic keyword doesn’t match to other generic phrases that are similar to it. What this means, using broad match trying to build big generic keyword pools not as useful as it could be. The matching algorithm doesn’t fully understand the relationship between different keywords. Kinda makes sense ’cause it’s app. It also means, if you only want to target the generic keywords, you’re gonna have to have a really, really big negative keyword pool built with brand terms.

That’s an observation I’ve made over the past couple of weeks. If you see anything different or you see the same thing, stick it in the comments below or tweet me @NickDuddy and figure out how this thing works.

That’s this week’s video. See you all next week.

Part 2: How to Use Apple Search Ads Analytics 🍏🔎📈 | MTX57

Watch this video on YouTube.

Hello.

Welcome back to the second part of exploring Apple Search Ads.

So the first week, we looked at, basically, campaign creation. Quickly setting up a campaign.

Now we’re going to look at the analytics and the information that gets spat out after you’ve spent some money.

Let’s dive in.

First of all, you want to jump in to campaign, and then into ad group.

Then you can start to see your spend, what kind of match your keywords are on, impressions, conversions, average cost per tap, or CPT.

The interesting stuff is when you start to look into the search terms.

In search terms, you get to see that actual phrase that showed for the keyword.

If you’ve got it on broad match, particularly, it’s unlikely to really be that useful if you’re exact match.

If you’re looking at broad match, you’ll be able to see the keyword that you shoot for that then they go and click, or the impression.

So you’ll see the search term, the original search term, over here, and the keyword that you shoot for here.

And again, it gives you the breakdown.

This will show you where your conversions are actually happening from, as opposed to kind of the broad word, which will then allow you tighten up your campaign by removing the ones that aren’t converting and keeping the ones that are converting.

Next is your negative report.

You should be taking search terms that you’re shooting for, that maybe aren’t performing well, and you’ve got to disable and stick them in your negative report, so they never, ever come back, and you never spend your money in a way that you never wanted to.

The negative report is really useful to make sure you’re covering all the bases, and again, you can do it by exact and broad match, because you may just want to remove one phrase, not the whole phrase.

Next up is the actual full report, and this gives you, basically, your usual charts, your breakdown, your compares.

This is an unoptimized campaign, just so you know.

About to go through an optimization cycle. But it’s good to show you what the kind of raw data on optimise looks like when it comes out.

So you’ve got date range and versus, that can change these about, let’s see, conversions.

Ooh, 138 conversions at 100, $1.38. You can set your date over here.

Pretty standard stuff, as usual. You can line graph it, you can chart it. Can’t remember what type of graph is called. But I like it.

You can jump into your keywords and start to look at how these are behaving over time.

From here, you can see the keyword and the conversion.

Go all the way down, you can chart them out or take them out of the chart up here. You can also look at see what devices are performing.

Target for this campaign is only on iPhone.

From what I’ve seen so far, you can’t actually break it down to what type of iPhone, because you might find some devices perform better than others, but the Apple data hasn’t given you that, which sucks.

More demographic information. So that’s your ages. Again, it’s pretty standard.

You’ll be able to see who’s converting where, what age groups are converting the best.

To the gender report.

Don’t want to look at that though. It’s interesting, you can see there’s like a 50/50 split.

This is interesting for this particular campaign, because I would have thought it’d skew towards female.

Impressions.

Cost per tap for gender.

Location data.

Should be quite interesting for optimising a campaign moving forward.

That’s where where your conversions are coming from.

Should be able to go down and get this report. See what states conversions are coming from.

Remember, it’s only in the US right now, so you only, only get US data.

Get impressions, which ones achieve conversions. That’s not too bad.

That’s comparisons.

Let’s see who’s converting.

California.

Ooh, that’s a big average cost per action, isn’t it?

That’s basically it.

For me, it’s always going to be keywords initially, and into the gender, age, location after that.

There’s only going to be so much you can segment it by before losing the
effectiveness of the campaign.

What I mean by that is producing people you’re targeting.

Because it’s not like Ad Words, as much as the interface is not so much similar, but gives you kind of the same information.

You aren’t allowed to change the messaging on your campaign.

It’s just going to display what your App Store listing page looks like.

Hopefully this is useful.

Especially having a report with data in it, because you might not have
a report with data in it, but at least you’ll know what to be looking for when you run your own campaign.

If you get any questions, or you think I missed something out, or you
would like to see something, give me a shout.

See you next week.

Bye.

Part 1: How to Use Apple Search Ads 🍏🔎📈 | MTX56

Watch this video on YouTube.

Hello.

This tutorial is on Apple Search Ads and how to create a campaign.

Was gonna be campaign and analytics, but it’d go a bit long, I’ve split it into two videos so analytics will come next week.

If something missing, something I didn’t explain, you need to put it in the
comments, or message me or tweet me or something like that.

I’m easy to find.

Anyway, here we go.

First thing you’re gonna have to do is find the login screen for Apple Search Ads.

Usually I just Google Apple Search Ads and click on it.

And once you’ve did that, get to this screen, you hit Start in the top right hand corner, and if you’ve already got an iTunes connect login, put that in, if not you’re gonna have to create one.

I’m assuming you’ve set one up already.

If not, it’s roughly the same process for a campaign creation, but if you’ve already got an account this is what it looks like.

But you’re running a campaign.

The next thing you want to do is create a campaign. And select your app, and give your campaign a name.

And put in a budget, this is the total budget for the whole campaign, the whole life of the campaign.

Then a daily budget, to make sure you don’t overspend.

Next thing you might want to do is add some campaign negatives.

These are keywords you put in for the whole campaign and all the ad groups inside the campaign, it will never show for.

So you’ve got (microphone dims out) app, probably want to exclude three, because that’s dead traffic.

Once you select keywords, you’re going to want to pick the match. Want a broad no free terms at all, or just the word free.

Next is the ad group name, and the campaign end date.

But for this campaign we’re just going to run it all the way through until I decide to turn it off.

And you might want to schedule ads if you know what time it’s going to be cheapest to buy or what time your users, potential users, will be online and more likely to interact.

And select Departing.

So that’s running your campaign at different types of day depending on what your CPI is, or when you think your potential users will be active.

It’s quite easy, it’s drag and drop sort of thing.

Next thing you’ll need to do is add a maximum bid price. I usually make this quite big in the beginning, just to make sure that we don’t have any problems displaying because of competition.

Then you might want to add a goal, so you’re not willing to spend over $1.50 for an instal.

And you might want to put that in.

I tend to leave it blank, initially. Not in this case, but initially.

Just to allow the campaign to run free.

Then you’re going to want to broad match.

Everything.

Again, something you do in the very beginning stages of a campaign.

Make sure you get full visibility and good information back so you can tweet and find the campaign.

Then you’re going to start adding your keywords.

I keep them tight, the actual product or service you offer. Don’t go too broad, the machine that is Search Ads will go broad for you, and a chance to add negative campaigns for technical ad group.

This will allow your ads not to show for competing ad groups, so if you get keywords which are slightly the same, then you can add them as negatives in that ad group.

And we’re into demographics essentially, and the sorts of people you want to target. In this particular campaign we’re not that bothered about this.

We want everybody and anybody.

And you know part of a campaign creation is selecting a location, all the
locations are in the US at the moment.

We are to go broad again, just to get as much information back as possible.

And that is you created a campaign.

Well, that was it.

Was it useful, yes, no?

Tell me, I’ll make you another that’s maybe a bit more clear.

Check next week’s video, which will be the second part of this, when analytics are available, and little tips on how to use it.

Don’t forget to subscribe, doubly, when you hit that bell next to Subscribe, so you can get your notification.

Other than that, see you next week.

ASO 2017 Predictions🌈🌈🌈 | MTX55

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English Version
Spanish Version


Video Transcript:

ASO 2017 Predictions🌈🌈🌈 | MTX55

Hello, welcome to this week’s video.

I’m speaking fast because I’m trying to fit 2017’s ASO predictions into 60 seconds.

First, we’re gonna talk about my 2016 predictions.

I thought Google App Index was gonna fucking kill it.

It didn’t.

Everybody’s still trying to figure out how it really works.

I still believe in it, though, it will still drive growth.

On to 2017.

No major algorithm updates.

I don’t think anyway.

App Store.

They’ll probably take enough retention in Google Play debt

May do about little installs that don’t have any retention, Apple, boy you had all these installs who knows tension.

We’re going to discount all these installs.

No boost in the rankings.

Apple Search Ads: KSOs, if they’re anything like me, are going to start using Apple Search Ads to pick key words.

That’s next week’s video.

Maybe Apple will start using description, as well as title and keyword
field and click to read to give you a more rounded amount of keywords that you should rank for.

Google Play: They may do what Apple did last year.

Do a massive clean out of the App Store. Yay!

Really doubt it, but it would be great to see.

I can’t see Play doing anything particularly major.

With both App Stores we might see reviews being tackled.

EU are starting to look in to fake reviews.

They’re not good for the consumer.

That will probably cause major problems.

So, that’s my 2017 predictions.

Don’t forget to subscribe. Hit subscribe.

Hit the bell next to it so you can get updates.

Alright, that’s this week’s video.

See you next week. Ciao.


ES Transcription:

ASO 2017 Predictions🌈🌈🌈 | MTX55

– Hola, bienvenidos al vídeo de esta semana.

Hablo rápido porque trato de meter las predicciones ASO 2017 en 60 segundos.

Primero, vamos hablar sobre mis predicciones del 2016.

Pensé que el indice de Google App iba a dominar.

No lo hizo.

Todos intentaban descubrir cómo funciona en realidad.

Sigo creyendo en él, seguirá trayendo crecimiento.

En el 2017.

No hay actualizaciones mayores en algoritmos.

No lo creo de todos modos.

La tienda de Apps.

Quizá tienen bastante retención en la deuda de Google Play.

Podría ser sobre pequeñas instalaciones que no tienen retención alguna Apple hace que instales Vamos a descartar todas estas instalaciones.

No hay alzas en los listados.

Las búsqueda de Apple: palabras clave, sin son como yo, van a usar la búsqueda para elegir palabras clave.

Será el vídeo de la próxima semana.

Quizá Apple empezará a usar descripción.

al igual que el titulo y el campo de palabras y clic para leer y darle una cantidad más redondeada de palabras clave por jerarquizar.

Google Play: podrían hacer lo que Apple hizo el año pasado.

Una limpieza masiva de la tienda de App. ¡Sí!

Lo dudo, pero sería genial verlo.

No imagino a Play haciendo algo grande en particular.

Con ambas tiendas podríamos ver las reseñas dadas de baja.

La UE está empezando a revisar las reseñas falsas.

No son buenas para el consumidor.

Eso probablemente causará grandes problemas.

Esas son mis predicciones del 2017.

No olviden suscribirse. Den clic en suscribir.

Denle a la campana para obtener actualizaciones.

Bien, ese fue el vídeo de la semana.

Nos vemos la siguiente. Ciao.