Congratulations dotMailer

Congratulations to dotMailer for winning the Croydon Business Best of Burough Award for Best Growing Business. also a big thanks to the team for having me along. Clearly they are rapturous over their win - well Tink is anyway.

Is Spam Really a Big Problem?

Here is an article on netimperative about some interesting research sponsored by moneysupermarket.com. The key take aways for me are:

• The average consumer only receives just over 10 spam messages per day - for some reason this seems low.
• 90% of consumers do not take active steps to stop spam. I cannot decide if this is good for legitimate marketers or not. On the one hand this increases clutter in the inbox but this also means that we do not have to worry about our opted-in readers accidentally creating false positives. I would be interested to hear your thoughs on this.
• Spam still works - 14% of respondents admitted to having clicked on a spam.

One of my concerns however is how they defined spam. As we all know there is the legal definition and the consumer's definition. Consumers think any message that is not relevant is spam. So this begs the question, "how many of the 10 spam messages per day are legitimate emails that the respondents opted-in to receive?"

More Time of Day Stuff

Apparently, when we send emails is the most important issue in the industry this week. Check out this from MarketingSherpa.

http://www.marketingsherpa.com/article.php?ident=30917&pop=no

New Insights On Time Of Day For Email

This is a really interesting post on time of day:

http://www.mediapost.com/blogs/email_insider/?p=741

The interesting thing is that we have come full circle. In the early days of email it was a free for all but people quickly realised that email was all about getting the right message to the right people at the right time. It was the last part that caused all of the worry.

How would we as marketers know when somebody was likely to be receptive to our message? So, we assumed that all consumers care about is the weekend and applied some "logic" about their behaviour as it related to the weekend and decided Wednesday would be the best day to send.

Some of the more clever email marketers realised that if every body was sending on a Wednesday it would be too hard to achieve cut-through so they overlaid this thought with the previous thinking on the importance of the weekend and said Tuesday was better (although some argued for Thursday).

Throughout the Great Day of the Week Debate, individually we struggled to answer the question, "I have changed to the 'optimal' day and my results have gone down." Luckily as marketers we had a ready made answer to this dilemma. "Maybe our customers are different. We should test it." These individual conversations eventually lead to a groundswell until most everybody was in agreement that we should rigorously test for the optimal day of the week and hey, let's throw in time of day as well.

What we never understood was why. Now the why is not important if your customer base is homogeneous, but it is if you have more than one customer. The why allows us to understand the behaviours of different segments and target them appropriately.

A standard day of week test randomly puts your readers into buckets so you end up identifying the optimal day based on the average. This would hide the fact that your most profitable segments might respond better at other times. In fact, the optimum time identified by the test may turn out to be rubbish.

By looking at day of week by segment we can optimise the response across the board. I know you are thinking: "Wait a minute. By looking at this on a segment level the sample sizes would be too small to be statistically significant." This is where I am going to pick up a string of thought proposed by Dela Quist of Alchemyworx. Dela has never been a fan of the organised day of week test. He proposes that if you look back over the past twelve or twenty four months you will have probably sent on each day of the week. There are some hazards to this approach but if you were to structure your testing going forward where launch each segment on the same day over the next seven campaigns you would be able to normalise for any outside influences.