Mobile phone model detection, how to distinguish iPhone, Android and users of different devices
The same batch of customers use different devices. The following product pages,App installation methods, messaging channels, and technical support may also be completely different. iPhone users enter the iOS ecosystem, and Android is divided into different brands and models such as Samsung, Xiaomi, OPPO, and vivo. Therefore, the real value of mobile phone model detection is not to simply put an "Apple user" or "Android user" label, but to determine whether the device information can help subsequent business adaptation.
The official website of Digital Planet currently also lists mobile phone device model detection as an independent function. The public page claims that it can return the brand, device model and iOS/Android system type. However, the specific level of detail that the number can return should still be based on the actual test results in actual use.
Why are some businesses worthy of looking at machine models, while others are completely unnecessary?
If you are selling ordinary daily necessities, what exactly do customers use?iPhone 13 or Samsung Galaxy may not change the sales method at all. In this case, it is of little practical significance to specifically detect the model in order to have an additional device label.
However, the equipment differences are more obvious for the following types of businesses:
lFor App promotion, it is necessary to distinguish between the iOS download entrance and the Android installation entrance;
lApple ecosystem-related services require priority confirmationiPhone device users;
lAndroid application testing requires knowing the coverage of different brands or models;
lFor mobile activities, pages and functions need to be adjusted according to device compatibility;
lCustomer service technical support. Different device models may have different troubleshooting methods.
At this time, the model data is not used"Guessing the customer" directly affects subsequent product adaptation.
In fact, the first step does not need to be divided into details.
When many people see mobile phone model testing, they want to divide customers intoiPhone 15, iPhone 14, Galaxy S23, Xiaomi 13, OPPO Reno and dozens more.
In actual operation, there is no need to dismantle it in such detail from the beginning.
If the current business only needs to solve the Apple and Android adaptation problem, the first layer is directly divided into:
iOS devices
Android devices
Unrecognized or pending device
It's enough.
Only when the specific model will affect the use of the product, will the brand and model continue to be divided down.
For example aAndroid App has poor compatibility on some old devices, so it is necessary to continue to look at the specific models; if all Android phones use the same process, subdividing the brands will only make the customer list more and more complicated.
What Digital Planet can detect must be written according to public functions
The public page of Digital Planet's official website about mobile phone model inquiry currently states that its mobile phone device model detection can process mobile phone numbers in batches, and claims to output fields such as mobile phone number, device brand, device model, system platform, and detection time; another official page also clearly listsApple, Samsung, Xiaomi and other brands as well as iOS, Android system classification.
Therefore, in the article, a more reliable way to use Digital Planet should be written as:
Import existing legal customer mobile phone numbers into device model detection;
Distinguish based on actual return resultsiOS, Android;
If there are specific brand or model results, they will continue to be classified according to business needs;
Unrecognized numbers should be kept separately and do not be forced to be classified.
It should be noted that these capabilities currently mainly come from the product descriptions on Digital Planet’s own official website. They are the platform’s description of its own functions and are not suitable for further expansion.Information such as "directly knowing the customer's income, occupation, and purchasing power through the machine model" does not have corresponding detection fields.
iPhone users should not directly equal high-spending users
The most easily misrepresented aspect of mobile phone model testing is that the price of the device directly translates into customer spending power.
SeeMarking the iPhone as high net worth, and downgrading the customer level when seeing the ordinary Android, this method is very crude.
The device can only tell you information about the device.
For example:
iPhone users can determine the compatibility with Apple’s ecosystem;
Android users can continue to pay attention to Android installation and compatibility issues according to their business;
The specific model can help determine whether the product function is supported;
If the equipment is older, you can pay attention to compatibility issues in the technical service scene.
But the device cannot directly tell you whether the customer has any purchase demand now.
True customer prioritization should still look at inquiries, orders, quotes, product interest, and recent business interactions.
A practical scenario:Why App promotion needs to be divided into iPhone and Android
Suppose an overseas project is promoting its own mobileApp.
If all customers directly receive the same download page, it is easy for Apple users to findAndroid installation package and Android users cannot find the corresponding version after clicking into the App Store.
At this time, equipment detection has a very direct use.
After sorting it can become:
liOS users → iPhone corresponding download page;
lAndroid users → Android corresponding installation page;
lDevice unknown → Use a universal landing page that automatically determines the system.
ifThere are also functional adaptation differences between different Android models, and then continue to increase the model level.
What this filter can solve is"Which version should users see", not "Which user has more money".
Apple’s ecological business, device labeling will be more direct
If provided isiOS App, Apple device after-sales, Apple ecological software or other services that obviously rely on Apple devices, iPhone device users themselves are a very practical technical condition.
In this case, equipment model detection can be placed before customer data collection.
For example, the original customer data only has:
United States + mobile phone number + consultationA service
UK + mobile phone number + consultationA service
France + mobile phone number + historical customers
After detection, if the device information is actually returned, it can be supplemented in the company's own customer system:
USAiOS device + consultation A service
UK+Android device + consultation A service
France +iPhone specific model + historical customers
Then determine the subsequent process based on product requirements.
in"Consulting A Service" and "Historical Customers" come from the company's own business records, and the equipment field is the model detection result. Do not mix the two types of information together to write customer portraits automatically generated by the platform.
What's really valuable to Android users is the "compatibility difference"
The situation with Android is more complicated than with iPhone, because there may be more differences between different brands, different models, and different system versions.
If the business involvesApps, web functions or mobile products, you can pay attention to:
Brand differences:Different devices such as Samsung, Xiaomi, OPPO, etc.;
Model differences: Whether certain functions only work properly on specific models;
System environment: Is the business right?The Android version has minimum requirements;
Installation method: Whether the installation entrances corresponding to different markets and different devices are consistent.
The existing mobile phone model-related pages on Digital Planet’s official website also list the brand, specific model and system type as part of the device identification results.
But is it possible to return stably?The descriptions of more detailed fields such as "system version" and "functional support capabilities" are not completely consistent on different official pages. Therefore, when actually writing a business plan, do not treat all detailed items as fixed results in advance. It is best to determine based on the actual detection page and test results of the platform.
Mobile phone model detection andiOS blue number detection is not the same thing
These two concepts are easily confused.
Mobile phone model detection mainly focuses on device brand, model and system type.
iMessage or so-called iOS blue number related detection is concerned with the corresponding status in Apple’s communication ecosystem.
A number identified asiPhone devices do not directly equal that all Apple communication services are in a certain state.
Therefore, if the business needs device type, do model detection; if the business really cares about other Apple ecological status, it should check the relevant functions accordingly, and do not use one device field to replace all Apple labels.
After testing, the most important thing is to decide"What is this label used for?"
It is best not to use the mobile device field to enrich customer profiles.
You can ask three questions before testing:
Will this result change the download entry?
Yes, it is worth distinguishingiPhone and Android.
Will this result affect product compatibility?
Yes, continue to look at the brand and specific model.
Will this result change the sales content?
If not, don’t put the device model at the top of the customer’s priority list.
This idea can avoid dozens of tags appearing in the customer table, but none of them will be used when it is actually used.
The model is just a device label and should not replace real customer behavior.
For example, both customers useiPhone, one of them took the initiative to ask for price yesterday, and the other one has not had any interaction for a year.
Obviously you can't give two people the same priority just because they have the same equipment.
In turn, aAndroid users have continuously inquired about price, specifications and delivery, and an iPhone user is just an ordinary historical contact. The former is still more worthy of sales treatment first.
Therefore, in the end, more practical customer information can be retained:
nation;
Phone number;
equipment system;
Equipment make or model;
Customer source;
Pay attention to products;
A recent business interaction.
The model is responsible for answering"What equipment does he use?" Business records are responsible for answering "Does he have any needs now?"
Mobile phone model detection is really suitable for device adaptation, product version and channel selection. Need to distinguishiPhone and Android are separate systems. Compatibility issues need to be resolved before looking at the brand and specific model. When there is no need to change subsequent business processes, there is no need to make customers more complicated just for the sake of one more label.
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