Content Marketing and Email Performance Statistics

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Today we are talking about sending content via email. And about the analytics of this process. This is how the work of collecting email addresses and mailing lists on our own site is arranged. Collection and segmentation of addresses The site uses 15+ web forms to collect customer mail in comments, share forms, service requests, and seminar registrations. Each address belongs to a category such as “the client was interested in increasing conversions” or “was at a seminar on content marketing or email newsletters.” CRM is replenished by the hands of managers Content Creation Authors write articles, case studies are published, entries are made on the site's blog.

A special mechanism keeps track of what exactly has not yet been sent out. A regular categorized mailing list is formed by itself once a month One-time personal mailing lists are made for special events like seminars and events. Distribution mechanism The solution is a beautiful neat automatic Senegal Phone Number List mailing to customers. How to do it technically, we have already told: mailings through Mailchimp , a regular Bitrix “mailing” module , beautifully designed and automatically adapted for different mail clients.Email sending mechanismOn our website, mailing is carried out using our own method of writing letters and a modified regular 1C-Bitrix module. Interesting dynamics of indicators.



Email sending efficiency The distribution has begun. How to understand whether this process is well or badly built? You need to measure the indicators and compare with others. Here are the statistics on our site's newsletters and email marketingof our clients, as well as average data on mailing lists of popular mailing services. Email Efficiency Scheme Conclusion If you have useful content, a base of interested readers and meet all the specific technical requirements for email newsletters, the statistics will be good, and the work will be useful.