asolytics

[asolytics]

The Most Convenient Way to Optimize App’s Meta Data

Most of the ASO services offer several possibilities to collect semantic core but that’s all. Only a few of them have tools for applying that semantic core to the app's listings. Asolytics is an all-in-all platform that has become a top aso tool for many app owners for the last few years. 

Recently Asolytics added Meta Editor – a tool for applying your collected semantic core to your app’s metadata. It’s cool because:

It offers to apply keywords immediately after collecting them.

It enables optimization of metadata for all possible locales.

It helps to avoid using the same keyword twice so that you’ll use as many as possible.

It gives tips from competitors’ metadata.

And more..

Let’s spend the next 5 minutes optimizing one’s app metadata. You can freely use Meta Editor right now to see how it works. 

For this, go to https://app.asolytics.pro/

Follow my 6 steps in optimizing the app’s metadata:

1. Collect the semantic core

To start optimizing metadata in Meta Editor, start with collecting a semantic core. For this:

Choose the country.

Add an app to “My Apps.”

Go to the “Competitors” and select the app’s direct competitors.

Then, Asolytics will retrieve a set of relevant keywords. Explore them in the “Keywords” section with the tools like Recommended, Matadata, and Ranking Keywords. Add all the effective and relevant keywords to Tracking. This is your semantic core. Want more details and insights about keywords? Go to Keyword Explorer and Autosuggests.

Tip: You can look through the short tutorial on how to collect the keywords here.

2. Choose the country

Go to the Meta Editor tool and select the country for which you want to adapt your app. You will see all the locales in the chosen country. For example, the United States has eight more languages besides English locale.

3. Analyze effective keywords

You can see the keywords from your semantic core in the Meta Editor’s “Keywords” tab. You should know that the App Store ranks keywords without an exact match, unlike Google Play. It combines the phrases and words added to the metadata and makes new search terms. Analyze each word separately in the “Words” section with these metrics:

Total Popularity = sum of the popularity of all keywords that use a specific word.

Total Estimated Daily Impressions = number of impressions for all keywords that use a specific word.

Total Keywords = number of keywords where the word is used.

Character Count = the number of characters in a particular word.

You can hover over a word and click the double arrow icon to see which search terms from your semantic core includes this particular word.

Then click on the chart icon to see where you have already used a particular word, i.e., in which metadata and locales.

4. Add words to a chosen locale

Choose relevant words from the list and click “Use in locale”. This will add them to a chosen locale (you can add words individually or use bulk adding). Chosen words then appear in the “Words to use” section.

5. Complete metadata

Apply high-relevant words to the app’s title and subtitle. Сlick the pencil icon in the required field to start editing the texts. Then hit “Save Meta” to save your changes. You can create several versions of metadata to compare them later.

Tip:

Note that Meta Editor highlights duplicated words in yellow and shows the character limits for each field, which helps avoid using the same keyword twice. 

6. Add the remaining words 

Add words that are not used in the title and subtitle to the keywords field. You can type each word manually or click “Add All” to add them to this field automatically.

Then, go to the “Uncovered Keywords” to see what search terms your metadata lacks. You can analyze their metrics to decide whether to use them.

You can also see competitors’ metadata and their installs, revenue per country in the “Competitors Meta”. If you want to see how your competitors have used a specific keyword, use the search bar.

Congratulations!

We’ve optimized one of the locales, and now we can repeat that for all the remaining locales. As you see, this process is highly automated and secures you from wasting characters by using the same keywords twice. Thus, you can use all the possible keywords to cover as many search terms as possible.