Why can some people find precise customers when doing overseas promotion?
When many people first do overseas promotion, they will default to thinking that the difference in results mainly comes from budget, advertising materials or delivery platforms. But after you really do it for a long time, you will find that on the same platform, the same market, and even the same budget, some people can continue to find precise customers, while others are always swirling in the general traffic.
The core gap is often not in the traffic entrance, but in data filtering.
Because the real difficulty in overseas promotion now is not to obtain traffic, but to find out in advance from a large amount of traffic the people who are truly worthy of long-term operation.
The biggest gap in overseas promotion is often not advertising
Many teams will continue to optimize:
lCreative
lDelivery time
lprivate chat skills
lExpert cooperation
Of course these are important, but many times, even if the ad clicks are very high, subsequent conversions will still get worse and worse.
The reasons are usually:
Users entering the backend are not accurate enough.
Especially now that overseas traffic has become more and more widespread, a large number of users only interact in the short term and will not really enter into long-term communication.
So many teams will have a situation:
The front-end data looks great;
Backend private messaging is getting harder and harder to do.
What is the difference between precise customers and general traffic?
Really high-quality and precise customers usually have several characteristics at the same time:
lActive for a long time
lThere is a real need
lWilling to communicate continuously
lEasier access to private domains
lEasier to form repurchase or long-term cooperation
Although the amount of flood traffic is large, it often occurs:
lHigh likes, low transactions
lFew replies, more silence
lQuick churn after short-term interaction
especially inIn private scenarios such as WhatsApp, Telegram, and Instagram, this difference will become more and more obvious.
Many teams will later discover that the people who can really bring long-term value only account for a part of the data.
Why do many teams become more chaotic the more they invest?
Many overseas promotions will become more and more difficult in the later stage. The reason is not that there is no traffic, but that the data structure is becoming increasingly confusing.
For example:
lOld data has not been cleaned for a long time
lHigh-value users and general traffic are mixed together
lCustomer service doesn’t know who to follow up with first
lThe list of mass mailings is getting more and more complicated
Especially when users don’t layer in advance:
Advertising will become more expensive;
Private chat efficiency will become increasingly inefficient;
Private domain retention will also get worse and worse.
Over time, the entire operational rhythm will be slowed down by low-quality data.
Which filtering actions are most likely to be ignored
Although many teams are also doing data processing, they often only stay at the most basic level.
For example, only checking if the number is available, but ignoring:
lactive screening
lage stratification
ldevice tag
lPlatform properties
lTraces of long-term use
But what really determines user quality is often these long-term behavioral labels.
For example:
Long-term active users and silent users have completely different subsequent values;
The long-term stability of iOS users and pan-Android traffic will also be significantly different;
The gap in subsequent conversion efficiency between high-spending age groups and ordinary users will become wider and wider.
Therefore, more and more teams have begun to"User filter" is placed in front of the advertisement.
Why accurate customers are becoming more and more dependent on"Front-end data capabilities"
In the past, many people thought that accurate customers relied on experience and words, but now it is more and more like data engineering.
Because what really determines the outcome now is:
Can you screen out low-mass traffic in advance on the front end.
Especially in cross-border markets:
lAdvertising traffic is getting more expensive
lUser attention spans are getting shorter and shorter
lPan-traffic conversions are getting lower and lower
If the front-end screening capabilities are insufficient, subsequent operations will become increasingly tiring.
Before promoting overseas, it is more stable to complete the number and activity screening
Many teams now no longer import all traffic directly into the system, but instead do a round of basic screening first.
For example:
lactive detection
lage tag
lPlatform properties
ldevice tag
lLong-term use status
In actual operation, you can first use Digital Planet to do screen number detection, and then combine activity, age and platform tags to screen out precise customers. Digital Planet supports free trial screening test.
In this way, subsequent advertising, private chat and private domain operations will be much more stable.
Why overseas promotion will become more and more similar in the future"User Operations"
In the past, many teams preferred to expand the traffic pool, but now more and more people are beginning to realize:
What really matters is not having more users, but having more high-quality users.
because:
Pan traffic can grow rapidly;
But it is usually difficult for truly long-term and stable customers to appear naturally.
Especially in high-customer orders and long-term private domain scenarios:
Customer quality will directly determine the difficulty of subsequent operations.
What is really important for accurate customers is not the transaction, but"Long-term value"
Many teams will only look at short-term conversions, but for truly stable overseas projects, they will pay more and more attention to:
llong-term communication skills
lRepurchase ability
lPrivate domain retention ability
llong term activity
Because truly valuable customers don’t just buy once, but can continue to interact, continue to consume, and continue to stay in the private domain.
Overseas promotion is starting from"Traffic competition" enters "screening competition"
In the past, what everyone compared was:
Who advertises faster;
Who has greater traffic volume.
Now more and more teams are starting to compare:
Whose data is cleaner;
Who has a higher proportion of high-quality users;
Who has more long-term customers?
Because what really determines operational efficiency in the future is no longer the traffic entrance, but the user structure.
In the same overseas promotion, some people can continue to find accurate customers. Essentially, it is not that they are lucky, but that they started paying attention to data screening and user stratification earlier.
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