What is the difference between WhatsApp precise screening number and ordinary screening number?
They are all called the sameWhatsApp filter number, the final data filtered out may be completely different. Some screens only solve one question: does this number have WhatsApp activated? Others will continue to sort the list in order by combining country, number deduplication, customer source, product interest, and recent business records. The former is more like basic cleaning, while the latter is closer to data sorting that can actually be used by sales.
soThe difference between WhatsApp's precise screening and ordinary screening is not that who sounds more advanced, but that the problems they ultimately solve are different. When you only have a batch of original numbers in hand, it is enough to do a general screening first; if you already have relatively complete customer information and want to judge who is more worthy of priority follow-up, you need to continue to fine-grained stratification.
Ordinary screen number, first check if there is anyWhatsApp
ordinaryThe core function of WhatsApp screening is simple.
First, distinguish which numbers have been activated from a batch of existing numbers.WhatsApp, which currently has no corresponding platform foundation.
For example, if you have100,000 overseas numbers, including the United States, Britain, France, and Southeast Asian markets.
In the first round, the international number format will be unified.
The second round cleans up duplicate numbers.
Do the third roundWhatsApp activation detection.
Finally got a batch that has been openedWhatsApp number.
At this point, the most important work of ordinary screen numbers has actually been completed.
Sales at least don’t have to hold everythingTry 100,000 numbers one by one.
Ordinary filter size is suitable when the original data is messy
If the data has just been sorted out and there are few fields, even only country and mobile phone number, there is no need to do complicated customer classification right from the start.
It is more important to solve the most basic problems first.
Is the number format correct?
Is there any duplication?
Is it open?WhatsApp;
Are there any mixtures of different countries?
After these processes are completed, the original number pool will be significantly cleaner.
for exampleAfter deduplicating 100,000 pieces of data, 80,000 pieces were left, and another 50,000 WhatsApp numbers were screened out.
Although this step does not tell the salesperson who is more likely to close the deal, it has already identified a large number of people who are not suitable for direct sales.Data for WhatsApp channels are separated.
So the ordinary screen size is more like the first round of coarse screening.
First remove the parts that obviously don’t meet the criteria.
Accurate screening is not an extra button, but an extra customer background
When it comes to precise screening, the focus is no longer justIs WhatsApp activated?
Instead, continue to look at why this piece of data is worth contacting.
For example, the sameWhatsApp has activated users:
Customer A made an inquiry from the official website and just inquired about the price 3 days ago.
Customer B came from the event registration two years ago and has not had any interaction since then.
Customer C is an old customer and recently inquired about the product again.
Customer D only has a mobile phone number and the source is completely unclear.
If only ordinary screen sizes are used, the results of these four people may be the same:WhatsApp has been activated.
But if you do fine stratification, the sales sequence is completely different.
A and C should be placed first.
B can enter normal maintenance.
D requires confirming the source first and is not suitable for directly becoming a high-quality customer.
This is the biggest difference between ordinary screen size and precise screen size.
Accuracy is not about guessing a bunch of tags from a mobile phone number
A misunderstanding can easily arise here.
Some people understand precise screening as: as long as you have a mobile phone number, you can directly determine the customer's age, gender, spending power, purchase intention and even wealth level.
This understanding is not reliable.
oneThe WhatsApp number itself cannot tell you out of thin air that this person must be a high-spending customer, nor can it reliably infer the real age, gender or product demand.
Real accuracy comes from existing business data.
for example:
Which country does the customer come from?
Which advertisement or website do you enter from?
What products have you actively inquired about?
Is there an order?
When was the last reply?
Have there been any transactions before?
What is the current stage of the sale.
These real fields andThe combination of WhatsApp platform status can lead to more accurate data screening.
Digital Planet is more suitable to handle the basic layer of numbers first.
If the company already has customer numbers accumulated through normal business channels, it can first handle the number-level matters through Digital Planet.
For example, international number sorting, number deduplication, country classification, and then filtering based on business needsWhatsApp activation status.
After completing this step, you can get a relatively cleanWhatsApp number pool.
These results are then merged back into the company's own customer data.
For example:
USAWhatsApp has been activated + official website inquiry + consultation within 7 days
Germany +WhatsApp has been activated + historical orders + recent re-inquiries
France +WhatsApp has been activated + event registration + no interaction for half a year
UK+WhatsApp has been activated + source to be confirmed
This is when customer priorities begin to diverge.
Digital Planet is responsible for the layer of existing numbers and platform status, and accurate customer judgment comes from the combination of number status and real business data.
The results are determined by ordinary screen numbers, and the order is determined by precise screen numbers.
The two can be understood more simply.
Common screen number answer:
Which numbers can enterWhatsApp client pool.
Accurate screening answer:
After entering, who should follow first.
What sales lack most every day is not a bigger list, but a clearer order.
Assume that after the ordinary screen number, there will be50,000 WhatsApp numbers have been activated.
Really recentThere were only 6,000 inquiries in 30 days.
There are historical orders and new demands are2000 items.
Most of the rest is just historical data.
IfAll 50,000 people are divided equally among sales, which is still a mess.
put thatPutting 8,000 pieces of recent high-value data in the front will have a completely different effect.
Under what circumstances is ordinary screen size sufficient?
If you just want to sort out the first round of numbers, ordinary screen numbers are enough.
For example, I just got a list of overseas customers;
want to know firstWhatsApp activation ratio;
Unactivated numbers need to be cleared;
Prepare to reclassify data by country;
Or you want to narrow down the scope of subsequent processing first.
These needs do not require complex customer profiles.
The most important step is to clarify the number status first.
Especially for large lists with hundreds of thousands of data, doing basic screening first can save a lot of subsequent work.
Under what circumstances do you need to continue to do precise screening?
If you are no longer simply clearing the data, but are preparing to hand it over directly to sales for use, you need to continue layering.
For example, the company already has customer sources.
There are product interest tags.
There is an inquiry time.
There are historical orders.
There are customer service records.
If you still only look at it at this timeWhether WhatsApp is activated or not, a lot of existing information is wasted.
Recombine these fields with the number status and separate them directly:
Recent high-intent customers;
General potential customers;
Historical old customers;
Long-term silent users;
Source data to be confirmed.
In this way, after the salesperson opens the list, there is no need to re-judge it.
The most valuable thing about accurate screening is that it reduces sales trial and error.
The problem with ordinary lists is usually not that they can’t be contacted, but that they don’t know if it’s worth contacting.
Among the 100 WhatsApp numbers that have been opened, there may only be 10 people who have clear needs recently.
If there is no stratification, sales need toTry it with 100 people.
If information such as recent inquiries, re-inquiries, and historical orders are combined in advance, sales may process the most valuable ones first.20 people.
This is where precision screening really saves.
It’s not that the test itself has become more mysterious, but that the number of sales trials and errors has become less.
The two screen sizes are not actually substitutes for each other.
Ordinary screen size and precise screen size are not alternatives.
A more normal process is to be general first, then precise.
First clean the number, remove duplicates,WhatsApp activation detection.
Shrink the original data.
Then recombine the filtered numbers with customer sources, product needs, and recent interactions.
Finally, they are stratified according to sales value.
The previous solution is whether the number can be entered.WhatsApp.
We will figure out how to use these numbers later.
Once the order is clear, all functions will not be mixed together.
A simple example can illustrate the difference
Assume that there is80,000 overseas customer numbers.
After ordinary screen number:
Remove duplicates65,000;
WhatsApp has opened 42,000 messages.
If it ends here, the sales will get42,000 pieces of WhatsApp data that can be processed further.
Then do precise layering:
close5,000 active inquiries in 30 days;
Historical customers re-consult1800 items;
Recent common interactions7000 items;
long silenceMore than 20,000;
Other entries are subject to confirmation.
At this time, sales may only really prioritize the first few thousand items.
Data has not increased out of thin air, but its usage efficiency has improved.
Don't do it for"Precision" makes screening too complicated
The more fields the better when it comes to precise filter numbers.
If a customer table has dozens of labels, the salesperson will not know where the key points are after looking at it for a long time, and it is also difficult to use.
Really practical field control only requires a few key items:
nation;
WhatsApp status;
Customer source;
Pay attention to products;
The latest business action;
Current sales status.
This information is enough to determine the priority of most customers.
The purpose of screening is not to make the customer list beautiful, but to allow sales to decide the next step faster.
The difference between WhatsApp’s normal screen size and precise screen size is actually easy to understand. Ordinary screening first determines whether the number has WhatsApp and whether the data can continue to be processed; precise screening is based on this, adding customer sources, needs and recent business records to further determine who to contact sales first.
Once the data has just been obtained, we will do the ordinary screening first; the customer information is already relatively complete, and then we will continue with the precise stratification. The ordinary filter number is to delete inappropriate data, and the precise filter number is to rank the remaining people.
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