How to check for the existence of 30,000 email addresses and make a mailing list?

K

kartman7772015-11-20 18:03:22

Marketing

kartman777, 2015-11-20 18:03:22

There is a database of 30,000 email addresses (unloaded from 1c and the site), everything that has accumulated from customers over 10 years. We want to send postcards Happy New Year and Promotions.
1. The question is how to check 30,000 addresses for operability
2. How to organize a mailing list (it is desirable that the service be able to make letter templates)
I tried Yu ... the sender will get 7500 for 1 mailing
how to reduce the cost of mailing

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6 answer(s)

P

Puma Thailand, 2015-12-04
@kartman777

I use Sendgrid
https://sendgrid.com/pricing

X

Xlaber, 2015-11-21
@Xlaber

To check, you can use bspdev.ru/products/mail-list-validator.html
As a mailing service, try mailerlite.com

O

Optimus, 2015-11-20
Pyan @marrk2

Raise your own mail server and send out, collect responses and delete from the database those with incorrect email. Well, either send out small bundles from free services. And how much would you like to spend on mailing all 30?

M

Maxim Novichkov, 2020-04-17
@maxtrade

The listed services do not have very high verification accuracy or are very expensive, like Sendgrid (in particular, the Mail.ru mail service always returns OK even for non-existent mailboxes), and sending test emails to collect errors will lead to pessimization of your servers and domains! As the most accurate and cheapest option for batch checking a large volume of email addresses, I recommend using the https://ru.wmprofile.com/emailvalidator service (by the way, there is an API there, you can integrate it).

S

soft4you, 2021-03-08
@soft4you

Now the most relevant program for checking email addresses is LetsExtract https://letsextract.com/ru/

D

Damir, 2021-09-17
@ddem

I will answer for the following interested people: It is
very risky to do mailing on the old database, firstly, some addresses no longer exist, you can check, for example, through the mailify.ru service , this will filter out some of the addresses. Secondly, there is such a thing as spam traps, they cannot be identified in any way, but it is easy to get into with a very old database, then there will be unpleasant consequences and getting into spam.