Is your data secure?

Not just secure from outside forces, but also secure from employees?
In a recent survey published by Help Net Security, approximately half of all employees said they would take data, including customer data, when leaving a job.
This has major implications for ESPs, where employees have access to customer data and mailing lists. There are at least 2 cases that I am aware of where employees have walked out of a company with customer mailing lists, and I’m sure there are other incidents.
ESPs should take action to prevent employees from stealing customer data.

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Best time to send email: analysis and discussion

Mark Brownlow (who I don’t think is here in Ams, much to my disappointment) wrote a long assessment of how to determine what is the best time to send email. He walks through the questions and the data that a sender should evaluate when making the decision when to best send email.
I have previously posted about my views on the best time to send email. There is no one best time to send email. In fact, my experience leads me to believe if someone said the best time to send email is at 4pm on Tuesday afternoon then 4pm on Tuesday afternoon would rapidly become the absolute worst time to send email.
It should come as no surprise, then, that I really like Mark’s #4 recommendation.

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How do unengaged recipients hurt delivery?

In the comments Ulrik asks: “How can unengaged recipients hurt delivery if they aren’t complaining? What feedback mechanism is there to hurt the the delivery rate besides that?”
There are a number of things that ISPs are monitoring besides complaint rates, although they are being cautious about revealing what and how they are measuring things. I expect that ISPs are measuring things like:

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Best time to send marketing email

Pages and pages have been written about the best time to send email. Marketers spend significant amounts of energy discussing and researching the best time of the day and the best day of the week to send email. I have long thought that these discussions do not put enough attention on individual end users and how the recipients interact with email.
Researchers recently developed a model for email user behaviour that splits email users into two classes “e-mailaholics” that send, and presumably read, email all the time and “day labourers” that send, and presumably read, email during standard business hours. There is very little transition between groups, 75% of users stayed in the same usage group over the 2 years of the study.
What does this mean for senders? Senders need to know know how their recipients use email and which user group recipients are. By analyzing clicks and opens, senders can classify recipients and use that data to send mail that is more relevant and better targeted.
h/t arXiv blog at Technology Review

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