Inventory of iOS active number screening platform, overseas precision marketing increasingly relies on data capabilities

Nowadays, people working in overseas markets are increasingly aware that it is becoming more and more difficult to develop customers. In the past, I could do some promotion casually, or use a batch of numbers to send messages, and I could get some replies. However, now the same method, the effect is becoming more and more unstable, and many times there is almost no feedback after sending. Especially teams working in industries such as cross-border e-commerce, software promotion, overseas gaming, and overseas services have a lot of data, but very little that can actually be used for transformation. This problem is becoming more and more common.

Many people will think it is a product problem or a channel problem at first, but after doing it for a while, they will find that the core problem is often not in front-end promotion, but in the data itself, that is, whether these numbers are"Live" means whether it is still in use and whether it still belongs to the target users. If the quality of the data itself is not good, no matter how good the marketing method is, it will be difficult to work. Therefore, there are more and more demands for iOS active number screening.

WhyiOS user data is easier to follow

Anyone who has worked in overseas markets knows thatiOS users generally have relatively stable spending power. In some European and American markets or high-consumption areas, the proportion of iPhone users is also relatively high. Therefore, many companies will give priority to iOS user data when looking for customers.

But the problem is also here, many so-callediOS data is actually just a label. It does not mean that the user is still actively using it, nor does it mean that the number can still receive information normally. Some numbers may not have been used for a long time, some may have changed numbers, and some may have duplicate data mixed in. If they are not filtered and used directly for marketing, the effect will not be good.

So now more and more teams are beginning to realize a problem, not whether the data is availableiOS tags, but whether the data is "live" and whether it can be truly reached.

A very common reality

There is a team that promotes overseas software. In order to quickly expand the market in the early stage, it collected about 100,000 items at once.For iOS-related number resources, their idea is very simple, which is to spread the volume first and then see the effect.

In the first few promotions, they did not do any screening and directly sent marketing information in batches. As a result, problems quickly appeared, the response rate was very low, and many customers had no interaction at all. Some numbers even appeared repeatedly. The team spent a lot of time every day on repeated communication and invalid customers.

Later, they changed the method and reorganized all the data. Instead of just looking at the quantity, they first processed the data in layers, eliminated obviously duplicate data, and then grouped customers who had not interacted with them for a long time. At the same time, they separately marked customers with historical consultation records, and then conducted a new round of promotion.

The results are obvious. With the same promotion content, the number of inquiries this time is much higher than before, and customer communication is also smoother because the people contacted are more precise.

This change made them realize one thing: more data is not better, but cleaner and more useful.

What problem does iOS active number screening solve?

When many people come into contact with this concept for the first time, they think it’s just about checking whether the number can be used, but it’s actually much more than that.

The real screening logic is more biased towards three directions. One is whether the data is valid, that is, whether the number can still be used normally; the second is whether the data is repeated, because data from many channels will be stacked repeatedly; the third is whether the data matches the target user, that is, whether this customer is your potential customer.

If these three problems are not solved, subsequent marketing will basically be a waste of time.

Especially for teams that do overseas promotion in batches, once the data scale increases, the management difficulty will increase rapidly. If there is no set of screening mechanism, it will become"The more you send, the more you waste".

The cost of data chaos is higher than imagined

Many companies don't pay much attention to data sorting at the beginning, thinking that they can use it as long as they have a customer list. However, as time goes by, problems will gradually accumulate.

For example, if the same customer is repeatedly contacted by different salespeople, the customer experience will deteriorate; for example, if there is no active number and the number continues to send messages, it will not only have no effect, but also lower the overall conversion rate; for example, important customers are not marked, and follow-up opportunities are missed.

These problems may not seem serious on their own, but when put into overall marketing, they actually consume budget and time.

A more down-to-earth approach

Nowadays, many teams working in overseas markets no longer rely solely on one-time data, but have begun to establish their own customer management methods.

The method is actually very simple, that is, put all the obtained data into one database, no matter what the source is, and then slowly perform hierarchical management, filter out the obviously useless data first, leave the customers who have interacted with each other separately, and then classify the customers who have not responded for a long time separately, and then decide whether to continue to follow up.

At the same time, some teams will also add new target market resources through data channels such as Digital Planet during the data supplement phase, and then consolidate them with the original data. This way, they will not rely on a single source and can keep the data constantly updated.

Data capabilities are becoming core competitiveness

Nowadays, when doing overseas marketing, it is no longer about comparing who invests in more ads, but about whose data is cleaner, more accurate, and more usable.

For the same batch of customer resources, some teams can convert them repeatedly, while others can only use them once and then expire. The difference lies in whether there is screening, management, and continuous updating.

The issue of iOS active number screening is not essentially a tool issue, but a change in thinking, from "get the data first and then talk about it" to "clarify the data first and then use it."

When companies start to pay attention to this, the subsequent promotion efficiency, customer communication efficiency and even team collaboration efficiency will change, because what we use is not a bunch of chaotic data, but a customer resource system that can be used for a long time.

With the continuous accumulation of data, coupled with continuous updates and supplements, the customer resources in the hands of enterprises will become more and more stable, and it will be easier to maintain continuous conversion capabilities in fiercely competitive overseas markets.

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