How to use iPhone and Android detection? First classify the equipment type, and then decide how to reach customers later.

iPhone和Android检测可以理解成给已有号码补充一个设备维度。它回答的是“这批号码当前更可能对应哪类设备生态”,而不是“谁更有钱”“谁更容易成交”。设备类型只是客户资料中的一个标签,真正有没有开发价值,还得继续看号码来源、产品需求和最近业务行为。

When they have a batch of overseas numbers in their hands, many people will ask a very practical question: What are the preferences of the users corresponding to these numbers?iPhone or Android? The really useful part of this information is not to judge who has stronger spending power, but to help with subsequent equipment adaptation, communication channel selection and customer data grouping. Especially when the business itself involves the Apple ecosystem, mobile applications, messaging capabilities, or adaptation to different systems, if you separate the device types in advance, subsequent operations will be much smoother.

iPhone and Android detection can be understood as adding a device dimension to existing numbers. What it answers is "Which type of device ecology are these numbers likely to correspond to at the moment?" rather than "Who is richer" or "Who is easier to make a deal." The device type is just a label in the customer profile. Whether it has real development value depends on the number source, product demand and recent business behavior.

Why should we put it firstiPhone and Android separate

If the product isUsage is exactly the same on iOS and Android, the device type may not be as important.

However, some services will be significantly affected by the equipment environment.

For example, Apple ecological related services need to first know whether the target users are inIn the iPhone device environment; when doing App promotion, different systems may correspond to different download entrances; when doing mobile terminal function testing, it is also necessary to separate iOS and Android users in advance; some messages and device services will be supported in different ways on different systems.

At this time, if all the numbers are mixed together, sales or operations will need to confirm the equipment again.

By classifying the equipment in advance, you can directly generate:

iPhone User Group

Android User Group

Device status pending confirmation group

Later work will make it much clearer.

Equipment testing is best placed in the customer data compilation stage

iPhone and Android detection is not the first step.

If the original number itself is very messy, it doesn't make much sense to judge the device first.

A smoother process is to sort out the international number format first, then deal with duplicate numbers, and then add equipment types according to business needs.

For example, a batch of data comes from multiple markets such as the United States, the United Kingdom, France, and Japan.

First organize it into a unified number format;

Clear duplicate data for the same customer;

Categorized by country;

To further differentiateiPhone and Android.

The last piece of customer information is not just a mobile phone number, but will become:

USAiPhone

Japan+iPhone

France +Android

UK+Android

If there are still customer sources and product interests, you can continue to merge them later.

Digital planet can be used in equipment classification

After you have accumulated a batch of overseas numbers through normal business channels such as official website inquiry, advertising forms, historical orders, event registrations, etc., you can organize the numbers through Digital Planet and supplement them according to actual business needs.Test results related to iPhone, Android and other devices.

For example, there was originally50,000 customer numbers.

Remove weight first;

Then sort by country;

Then split based on the device detection results.

Might end up getting a batchiPhone related numbers, a batch of Android related numbers and data that need to be confirmed.

These results can be written back to the customer database and used together with customer sources, product requirements, and target markets.

Digital Planet solves the problem of number and device classification here, rather than directly judging the customer's purchasing ability.

detectediPhone cannot directly equal high-consumption users

This is the most common misunderstanding in device screening.

SeeiPhone users are directly labeled with high consumption, high net worth, and strong purchasing power, which makes it easy to use the wrong device information.

What mobile phone a person uses can only indicate the device environment.

You cannot rely on this result alone to judge income, assets, occupation, or willingness to spend.

Android users cannot be simply classified as low-spending groups.

To truly judge customer value, we still need to look at:

where customers come from;

What products to focus on;

Have you actively inquired for quotations?

Have you purchased it before?

Have you had any recent business interactions?

If oneThe Android user just made an inquiry yesterday, and another iPhone user only left his number three years ago. Sales should obviously contact the former first.

Device type is not a substitute for customer intent.

Apple’s ecological business will need moreiPhone classification

If the product itself has a strong relationship with Apple’s ecosystem,The role of iPhone detection will be more obvious.

For example, forFor services such as application promotion for iOS users, Apple device-related services, and iPhone-adapted products, if iPhone-related users can be separated out in the original customer data, subsequent content and entrances can be more targeted.

In the past, sales faced50,000 mixed numbers.

After the equipment is classified, there may be20,000 items belong to iPhone-related users.

If the current promotion activities are only for the Apple ecosystem, we can prioritize this part of customers and continue to filter them based on their sources and needs, rather than letting sales handle them all.50,000.

This is the most direct efficiency value of equipment classification.

Android detection is not just about loading the rest of the people in

The number of Android users is usually not small, but they also need to continue to be layered.

Can't think of anything wrongAll iPhone numbers are simply treated as the same user.

If the business isAndroid application promotion can continue to combine countries, system adaptation needs, customer sources and product interests.

For example:

India+Android+TikTok form

Vietnam+Android+ official website consultation

Brazil+Android+ historical customers

Indonesia+Android+ recent product inquiry

Same thingAndroid, the final sales order is still different.

Device detection only separates the entrance first, and the real customer priority needs to continue to superimpose business fields.

When promoting the App, device grouping will be more intuitive

do overseasWhen acquiring customers for an app, the iPhone and Android categories are easier to understand application scenarios.

After the user submits their mobile phone number, if they already know the device type, they can directly enter the corresponding product introduction and download path.

for exampleiPhone users see the iOS version information.

Android users see content suitable for Android.

This eliminates the need for users to click in and discover that the version does not correspond.

If there are differences in functionality, price, or launch pace of products on the two systems, it is more useful to group them in advance.

But the prerequisite is that the users themselves are interested in the product.

Just because the device type is detected, all numbers cannot be changed directly toApp potential customers.

Customer service and after-sales can also use the device type to reduce back-and-forth confirmations.

Some problems themselves are related to the mobile phone system.

customer feedbackWhen the app cannot be opened, the notification is abnormal, or the page displays problems, customer service often needs to ask the first sentence:

What you use isiPhone or Android?

If the company already has device tags in its own customer information, this step can be skipped.

When customer service opens the information, they can first see the device environment and then follow the corresponding process to troubleshoot.

For products with a relatively large number of users, the accumulation of such small information can save a lot of time.

Therefore, equipment testing is not only useful for marketing, but after-sales and technical support are equally valuable.

How can iPhone users continue to be segmented?

If a batch has been screened outiPhone users, the next step is not to market all at once.

It will be more useful to continue looking at the source of the customer.

For example, the sameiPhone users:

One is from an Apple ecological product advertisement;

One from regular event registration;

One just consultediOS software;

One is just historical customer data.

Apparently the first two even continue to be differentiated.

Really accurate customer segmentation can become:

iPhone+Target country+Related product consultation

Instead of just:

iPhone users.

The value will be magnified only after device tags are combined with business needs.

Android users have the same logic

After the Android detection is completed, you also need to continue to look at the sources and requirements.

If the company is promotingThe Android version of the App can give priority to people who have actively inquired about related products recently.

If some numbers belong toAndroid devices, but have nothing to do with the currently promoted products, there is no need to force entry into the sales pool just because the device is qualified.

Equipment adaptation is only the first condition.

I will continue to ask later:

Is the country right?

The source of the customer is unclear;

Does the product matter?

Is there any recent demand?

These conditions are stacked up to form a truly usable target list.

When acquiring customers on multiple platforms, you can combine devices and social channels

If the equipment classification has been completed, you can continue to supplement communication channels based on actual business needs.

For example:

USAiPhone+WhatsApp has been activated

Japan+iPhone+LINE related users

India+Android+WhatsApp has been activated

Vietnam+Android+Zalo related users

In this way, sales no longer only see the device type, but also know which existing communication channel may be more appropriate to continue the process.

Digital Planet can filter and string together devices, numbers and target social platforms during this type of data collection process.

But the more labels there are, the more important it is to remember one thing: labels are to reduce trial and error, not to infer a person’s true identity and spending power out of thin air.

Which businesses do not need to place too much emphasis on equipment testing?

Not all customer acquisitions need to be differentiated firstiPhone and Android.

If the product has basically nothing to do with the mobile phone system, sales will mainly be throughWhatsApp communication, and the product is not obviously different on different devices, then the device type is just an auxiliary field.

At this time, customer source, product needs and recent consultation time may be more important.

Don’t force device screening for all customers just because there is an additional detection function.

There is only one criterion to truly judge whether it is worth doing: whether the result will change the subsequent processing method.

If so, it's worth points.

If not, there is no need to complicate the process.

iPhone and Android detection ultimately helps customers take different paths

After the equipment testing is completed, the most ideal result is not to have an extra column in the customer table.iPhone or Android, but the subsequent operations can take different paths directly according to the device environment.

iPhone users have access to content, products or support processes that are suitable for Apple’s ecosystem.

Android users enter the corresponding product and service process.

Combined with the country, customer source, product demand and social platform status, put the people who are really worth dealing with at the front.

iPhone and Android detection is essentially a device diversion for customers. The equipment type tells you which path is suitable for the next step. Whether it is of value to customers still depends on the real needs and business behavior.

 

digital planetis a world-leading number screening platform that combines Global mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports customers worldwideBatch numbers for 236 countriesScreening and testing services, currently supports40+ social and apps like:

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The platform has several features including Open filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, precise filtering, duration filtering, power-on filtering, empty number filtering, mobile phone device filteringwait.

Platform provides Self-screening mode, generation screening mode, fine screening mode and customized mode, to meet the needs of different users.

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