How to write a great newsletter

Email newsletters are now a big part of digital marketing and most if not all online firms have an email newsletter you can subscribe to, to receive updates on the company’s most recent happening, special discounts or targeted offers. Pavlov et al (2008) estimated that email marketing campaigns generate twice the return on investment over other forms of online marketing, so its easy to see why so many companies are taking part in the activity.

In this specific instance, I will be looking at an innocent smoothies newsletter to show how a company can write great marketing content through emails. I subscribed to innocent smoothies newsletter about four months ago on the recommendation of a colleague and I wasn’t disappointed. Innocent send emails weekly and it all starts with the subject line. A simple, yet intriguing selection of words which entice the user to click ‘open email’. Some of my favourite examples include:

  • How to break the internet: an innocent guide.
  • bunting, adventures and singing goats.
  • man puts trousers on with no hands.

Each equally wacky but somewhat tempting. If you would like to know more on any of these titles, I thoroughly encourage you to subscribe by clicking here.

Once you have opened the email, they’ve got you (and not in a bad way). for innocent enthusiasts the newsletter provides interesting content on the week’s events such as the weekly segments: ‘drinker of the week’ or ‘inside fruit towers’. Although this content isn’t directly trying to sell anything, the brand logo together with making the reader feel like an fundamental part of the business or ‘family’ is enough to make a reader, at the very least contemplate buying an innocent smoothie next time they are looking through the refrigerated drinks at Tesco on their lunch break.

I found it odd that Innocent chose not to use any personalisation on their emails. this a tactic that many firms use to capture the attention of readers but innocent seem to have chosen a more generic, newspaper standpoint. White et al (2008) believes that the personalization of an email should only depend on the specificity of the offer, and where there are no specific offers for each customer in the innocent’s newsletter, this may be the reason that they have chosen to avoid the personalization approach.

However, just because they aren’t personalizing their emails, doesn’t mean they don’t want to track their customers – after all this is the reason of an email newsletter. To sign up, you must provide your email and date of birth, it sounds harmless enough but with just this information they have a key method to contact you as well as some great statistics on their target audience. furthermore, embedded into the email are unique tracking codes that allow innocent to pinpoint each customer. Images are saved under paths with references such as ‘SubjId=12345’. Allowing Innocent to see who has what emails to find out what content is the most dependable. This is a key tool many marketers use to gain some more data on its customers but is this right or wrong? Personally I believe that giving away some information is a small price to pay for such interesting content. and at the end of the day, this information is only being put back into the company to aim their products more specifically at their customers which will benefit you!

In conclusion, Hats off to innocent, they have managed to create interesting content through practical email newsletters and in my opinion, any small companies (and even large organisations) should take after their example in creating clean, unique and interesting emails. take a look at the screenshot below and make sure to subscribe and check out the innocent newsletter for yourself.

 

 

 

Pavlov et al, 2008. ‘Toward a sustainable e-mail marketing infrastructure’. Journal of Business Reseach, Vol 61, No. 11, P. 1191–1199.

T.B. White, 2008 ‘Getting too personal: reactance to highly personalized e-mail solicitations’. Mark Lett, Vol. 19, No. 1  P. 39–50.

Big Data Ted Talk

I have just watched a very interesting Ted Talk on Big Data by Hans Rosling. If you have a couple of minutes spare I would recomend watching this as it shows data in a more interesting format than bar chats on a piece of paper. It looks at usually boring statistics such as life expectancy or wealth distribution over time as clear animated represenations. I found some of this information extreemly interesting.

 

Big Data – Real world examples

With technology advancing so quickly, the use of Data is increasing and becoming more usefull. Data is used in a variety of ways that couldnt have been possible years ago, organisations like Wallmart collect and analyze big data on customer transactions. it is estimated that they collect 2.5 Petabytes every hour from customer transactions, enough to fill 20 million filing cabinets of text. This data would have been near impossible to analyze 30 years ago, but now this information can be taken straight from a digital database and put into tables and graphs, allowing busisesses like wallmart to quickly spot trends in consumer spending (McAfee, A., & Brynjolfsson, E., 2012).

Another example of companies using big data is the example of Passur Airlines (McAfee, A., & Brynjolfsson, E., 2012) who noticed that airline ETA’s were not as accurate as they could be and were costing arilines millions in dellayed flights and un-predictable flight shcedules. by combining a range of publicly sourced data such as weather and how busy the airport is, as well as information they were able to source through there own planes real-world arival and departure times, they were able to create a much more accurate flight estimates. As the program went on, Passur airlines began to gather the data to forecast future flights and also allow themselves to check what happened in similar, previous situations when looking at flight times.

This build up of Data allows marketers to gather data on you and market products more specifically to the customers needs. Businesses like Amazon and google have been doing this for years and it allows Amazon to recomend products to you with a high degree of accuracy, google to charge more for there heavily tailored ad service, which knows more about you that most people would probabally imagine through the use of their mobile opperating system which constsantly knows where you are, to their search engine which knows exactly what you are looking for. The Netflix CEO, Reed Hastings, has already come out in saying that they plan to be able to know exactly what their users want yo watch, before they even click it, creating a constantly streaming service of videos, specifically tailord to the user (Aultta, 2014). It is easy to see how powerfull big data can be, especially now that organizations are easily and quickly able to analyze this.

 

 

Ken Aultta, (2014).  The New yorker, http://www.newyorker.com/magazine/2014/02/03/outside-the-box-2. Feb 2012, Accessed: 16th October 2014

McAfee, A., & Brynjolfsson, E. (2012). Big data: the management revolution. Harvard business review, 90(10), 60-66.

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