100% delivery to incoming email lists (no spam)

About client

PM Store – an online store that sells merchandise from parimatch.com

Project goal

  • Settings for the congratulatory series of postcards
  • Development of content distribution
  • Chatbot settings for Facebook/Telegram

How did we achieve this result?

We developed a scenario according to which the email distribution chain was set up

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The Problem

We created 3 emails for the distribution:

  • welcome email
  • announcement email
  • email with social media links

Welcome Email

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Announcement Email

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Letter with Social Media

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Set up an automatic series of letters after adding a user to the address book “Website Subscription Form” with a pop-up on the site:

  • Configuration of the series from the SendPulse cabinet
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Compiled, configured, and launched a content-information mailing

  • 1 letter with the subject “Why does Parimatch make merch?”
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Received the following statistics:

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  • 2 letter with the subject “Support PM Store by Parimatch with your vote!”
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Received the following statistics:

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  • 3 letter with the subject “? Girls’ sale up to -25% ?”
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Received the following statistics:

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  • 4th email with the subject “? It’s time to shop! Girls’ sale up to -25% ?” – the mailing was sent to those who did not read the previous email, and visually the email was exactly the same as the third one

We received the following statistics:

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Thus, we managed to reach another 89 recipients, 13 of whom visited the website pages. The indicator of 100% delivered emails is particularly noteworthy.

  • 5 emails with the subject “Happy Spring, Princess!”
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We received the following statistics:

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We set up a bilingual bot for Telegram and Facebook. The purpose of creating the chatbot is:

  • 24/7 customer service
  • Increased reach with minimal investment
  • Informing customers about new products, promotions, and sales
  • Simplified registration format for events

Chatbot scenario

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Upon entering the main menu, sections open: New Products, Promotions, and FAQ

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Depending on the active promotions or newly added products on the site, each of these sections is updated.

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Results

The average email open rate was 41.71%, compared to the standard market rate of 20-25%.

No user marked the emails as spam, and the percentage of delivered emails reached 100%! This is due to regular maintenance of the database hygiene and validation after each mailing.

We also determined the optimal sending time for emails.

And very importantly: we maintained the domain’s reputation at a good level thanks to a well-thought-out email strategy.

Conclusions

Promotional emails should be informative and interesting, as continuous promotions and offers can lead to database burnout. Emails that sell anything should not make up more than 25% of those sent.

The format of sending emails: Email → Email for unread ones after 2 days showed very good results. This helps reach those who did not read the previously sent email.

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