Do a round of data cleaning before promotion, and subsequent advertising, private messages, and communities will be much easier.
When many teams do overseas promotion, they will initially focus on placement, content and traffic. But after running for a period of time, more and more people will find that: advertising is getting more and more expensive, private messages are getting more and more tiring, the community is getting more and more silent, customer service is very busy every day, but the number of truly effective customers has not increased significantly.
Many times the problem is not necessarily the promotion method, but that the previous data is too messy.
Especially now that cross-border marketing relies more and more onAfter long-term private domain platforms such as WhatsApp, Telegram, Instagram, and Facebook, the quality of front-end data has begun to directly affect subsequent operational efficiency. Because of this, more and more teams are beginning to put "data cleaning" before promotion, instead of slowly weeding out low-quality users later.
Why are many promotion effects getting worse and worse?
In the past, many teams were used to"Direct flow first and then filter".
Advertise first;
Pull users first;
Import the system first;
Finally, slowly screen customers.
But now this approach is increasingly prone to problems.
Because a large amount of data is usually mixed with:
lEmpty number
lAbnormal account
lLong-term silent users
llow active number
lShort term registration data
After these users enter the system, they will directly slow down subsequent advertisements, private messages, and customer service.
Many teams will later discover:
There are a lot of clicks on the ad, but not many people actually respond;
The group size is large but the interaction is getting lower and lower;
Customer service is very busy every day, but there are very few actual transactions.
Many times the problem is not traffic, but too much low-quality data.
Why data cleaning is suitable before promotion
Now more and more mature teams have begun to change their processes.
Clean first;
further layering;
Finally promote it.
Because if the front-end data is not processed cleanly, all subsequent actions will become increasingly heavy.
For example:
lBulk sending will waste sending resources
lPrivate messages will continue to reach silent users
lAd remarketing mixes in low-quality traffic
lThe community will be diluted by a large number of low-interaction users
Especially for teams that have been working in the private domain for a long time, it will become more and more obvious that if there is one less step of screening on the front end, there will be a lot more ineffective work on the back end.
What does data cleaning really clean?
When many people come into contact with data cleaning for the first time, they think it is just about deleting empty accounts.
But people who really do data operations for a long time usually deal with many layers at the same time.
For example:
lUniform number format
lDuplicate data filtering
lPlatform opening test
lActive state identification
lAbnormal account filtering
lUser tag classification
Because what really affects back-end efficiency is never just"Whether the number can be used", but "whether this user is worth continuing to operate".
For example, enable bothFor WhatsApp numbers, if one is online for a long time and has continuous interaction, and the other is not online for half a year, the subsequent operational value will be completely different.
Why advertising is becoming more and more dependent on"Clean data"
Nowadays, many teams’ advertising costs are getting higher and higher, but conversions are becoming more and more unstable.
One of the reasons is that too many low-quality users are mixed into the advertising backend.
For example:
lLong-term silent users
lInvalid number
lAbnormal account
llow interaction users
Even if these users enter the advertising system, subsequent conversions will be poor.
So many mature teams have now started:
Screen highly active users first;
Re-enter advertising and remarketing;
Finally, do the private domain undertaking.
In this way, the quality of subsequent ads will be much more stable.
Really effective advertising is not"Cover more people", but "cover more people worth operating".
Why are private messages and communities more afraid of low-quality users?
Many teams now doWhen it comes to WhatsApp private messages and Telegram communities, the most obvious problem is: there are many people, but they are getting quieter and quieter.
Especially:
lSocial interaction declines
lPrivate message reply rate decreases
lCustomer service is getting more and more tiring
Many times it is not the content, but the front-end data structure that has deteriorated.
Because once a large number of low-quality users enter the system, the mass messaging, customer service and community will become more and more heavy.
So now more and more teams have started:
Clean first;
further layering;
Finally, join the group and chat privately.
In this way, the quality of the private domain will be significantly improved.
Many teams have begun to do basic testing first and then operate
Nowadays, many teams that have been engaged in cross-border marketing for a long time will first conduct a round of basic testing through a professional screening system before launching advertising and private domains, filtering out empty accounts, abnormal accounts and low-active users in advance, and then further stratify based on region, platform and active status.
After handling it in this way, and then entering the advertising, private chat and community stages, the overall operational pressure will be much lighter.
Especially for teams with a relatively large amount of data, they will clearly feel that if the front end is cleaned one more time, the back end will be able to do a lot less repetitive work.
In the future, promotion will become more and more biased towards"High quality user operation"
In the past, many teams did overseas promotion, which was more like competing for traffic scale. Whoever has a wider advertising coverage, a larger list, and a more aggressive mass messaging will be more likely to get results.
But now more and more people have begun to realize that real and stable growth actually comes from high-quality users.
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