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Web Search vs. Mobile Search



The world goes on data. Data can tell you what people want, how they behave and what they are looking for, all of which are crucial to the marketing of an app. Many developers still make the mistake of relying on web data for their App Store optimization instead of mobile data. If you want your app to succeed on the App Store and Google Play Store, you need to use mobile search data.

How to apply differently

The reason why the web
data and mobile data are different
derives from ways users search
each platform. The general structure and objectives of these searches vary
To a large extent, we can get very different data based on searches for the same general
thing.

Web search tends to be transactional (do something),
informative (show something) or navigation search (go to any) queries.

For example, a user can search for "Buy discount tickets
to Hawaii "as a Transaction Request," Where Can I Buy Cheap Airfare? "for
An information request, or "discount flight ticket site" for a navigation
questions. While the ultimate goal of buying tickets is the same, there are three
different ways to search for the same goal.

Mobile search, on the other hand, is usually 2 more
3-word search related to the functions. Rather than an action or information,
users will search for the specific thing they want or a related brand.

The same ticket-seeking user will search the App Store for
"Ticketing app" or "travel app" to search the specific features they need. Many
of the top
Keywords are tags
so the same user can also search for
"Travelocity" or specific airlines such as "United" or "Delta."

As the example illustrates, we have two completely different
ways to search for the same end goal. Use web search data for
Optimizing a mobile app will result in targeted terms and phrases of users
just do not search for mobile app stores, resulting in subpar
optimization.

Why do you need mobile
for ASO

Web search volume is readily available so it can be
tempting to exploit it. Doing so will only provide data that does not apply
to search for trends in mobile app stores. Instead, it is important to use a
dedicated mobile data-based ASO platform such as DATACUBE,
providing mobile search data for both the Apple App Store and Google Play
Big.

There is only one overlap on about 20%
between web and mobile data
. In other words, if an app developer were to
target words extracted from web data for a mobile app, only 2 out of every tenth
would be helpful. Needless to say, using mobile data means you're targeting
Accurate keywords users are searching for.

This is one of the reasons why SEO and ASO are different.
While using web data for SEO, you give effective results, that is because
Data fits perfectly – it's a round stick for a round hole. Trying to use
The same data for ASO is like trying to fit a square stick into a round hole. The
simply do not adjust or fit.

Good mobile data can inform developers about the specific terms
and phrases users are looking for, including the volume. Even similar phrases
can have very different search volumes; For example, a property app will want
To know if the users are seeking more for "home purchase" or "buy a home" then
It can base the metadata structure on how users search the App stores.

Although free tools that draw from web search data may work
tempting, the true price comes from discoveries and potential
conversions the app loses by relying on an inaccurate source of data. In a
competitive environment like App Stores, it is important to use the most
accurate information possible for your marketing strategies – that means mobile
data.

Want more information on optimizing the App Store?
Contact
Gummicube and
We help you get your strategy started.


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