Why is it easier to increase conversion rate after iOS user detection? The logic behind data filtering

iOS user detection has been increasingly discussed in overseas customer development circles in recent years. Especially in teams that engage in cross-border businesses such as WhatsApp operations, Telegram traffic, and email development, "iOS users" are often singled out for first-level screening.

Many people will feel strange at first: Isn’t it just a mobile phone system? Is it necessary to watch it separately?

But those who have actually done overseas customer acquisition for a period of time will find thatActions such as iOS user screening, user device identification, and user system classification do have a significant impact on subsequent conversions.

Why did everyone start paying attention?iOS users

To put it simply:The overall proportion of iOS users who are "more stable and more willing to pay" is indeed higher.

For example, in some cross-border e-commerce,In SaaS service and digital product promotion scenarios, with the same batch of user data, iOS users tend to have higher consultation quality, and the probability of subsequent transactions is also more concentrated.

So now when many teams are doing customer data management, they first divide users into several categories, such asiOS users, Android users, unknown device users, and then do subsequent operations.

This is actually a very basic idea of ​​​​user stratification.

What are the typical characteristics of iOS users?

From actual operational experience,iOS users usually have several obvious characteristics:

The first is that equipment costs are higher and overall consumption power is more stable.

The second is that application usage habits are more fixed, such as higher requirements for privacy, experience, and interface stability.

The third is that in some overseas markets, such as Europe and the United States,The proportion of iOS users itself is not low, and they are concentrated among middle and high-end consumer groups.

Of course this is not absolute, but when doing big data screening, these"Tendency" becomes reference value.

So many companies are doingWhen filtering WhatsApp users, analyzing Telegram users, and organizing email customers, device type will be used as an auxiliary dimension.

Why user stratification affects conversion rates

When many people do customer development, they like"Treat everyone equally."

No matter who the user is, they all use the same set of words and content to communicate.

The problem is, it's easy to waste time doing this.

for exampleiOS users and ordinary low-active users may have completely different concerns.

One cares more about experience, efficiency, and stability, while the other cares more about price or basic functions.

If you don’t make distinctions, it will be easy to communicate content"Not right".

And once it’s not right, the conversion will naturally be low.

So now more and more teams are starting to do user stratification, andiOS user detection is only one dimension.

Data filtering actually helps you"Do less useless work"

Many people mistakenly believe that data filtering is just"Organizing data".

In fact, the essence is not to organize, but to reduce ineffective communication.

For example, if a team has 10,000 users, if they are not screened, each one may have to spend time communicating.

But if you go through the system first,iOS user screening, active user screening, and region screening, then those who really enter the communication process are actually "people who are more likely to close a deal."

In this way, sales efficiency will naturally increase.

Therefore, screening does not reduce customers, but increases the hit rate.

Why accurate users are easier to convert

There is a very realistic logic here:

It’s not that the customer doesn’t want to buy, but the information is not correct.

After you divide users into different types, you can speak in a targeted manner.

For exampleiOS users can emphasize experience, stability, and efficiency;

For other users, you can emphasize cost, basic features, or entry-level advantages.

For the same product, the conversion results may be very different due to different expression methods.

Therefore, many people doing overseas marketing are paying more and more attention to user portraits instead of just looking at quantity.

digital planetThe role of iOS user identification service

In actual operations, many teams will not just rely on manual judgment of user types, but will use tools to perform batch screening.

digital planetThe iOS user identification service is used for this type of user device analysis.

Many companies will first register for free to experience the function through Digital Planet, import existing customer data into the system, and then quickly completeiOS user screening, device classification and user structure analysis.

The advantage of this is that you can quickly know the quality structure of your customers, such asWhat proportion is iOS, what proportion is Android, and which users are more worthy of priority follow-up.

On the surface, it seems to be classifying equipment, but in fact, it is optimizing customer priorities.

The key to improving conversion rates is not"More customers"

When many teams first start acquiring customers, they always think“More data means more opportunities.”

But if you do it for a long time, you will find that it is not the quantity that really determines the conversion rate, but the degree of matching.

If 3,000 of the 10,000 pieces of data are of high qualityiOS users, as long as you concentrate on doing these 3,000 items, the effect may be better than doing all the operations.

Therefore, more and more companies are now beginning to conduct refined operations instead of extensive delivery.

User stratification is becoming a basic capability

I used to do customer development, mostly"Just find someone."

has now become"Find the right person".

iOS user detection is only a small cut, but what it reflects is that the entire industry is moving in the direction of refinement.

Whether it isWhatsApp operations, Telegram traffic, or email customer acquisition, all are essentially becoming the same thing:

Screen first, then communicate, rather than chat while screening.

Whoever can distinguish users more quickly will be able to improve the overall conversion efficiency more easily.

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