Exciting Results From Email Experiments

a couple of days ago, i sent out an email that went errm…”viral”.

by viral, i mean, a bunch of people ended up receiving it as many as ELEVEN (11) TIMES!

needless to say, this was an unfortunate accident. and i am really, REALLY, really sorry if you were one of the people affected.

what happened is i got the bright idea to increase the throughput of my already blazing fast email platform by parallelizing it. meaning, to make it so more than one machine can work on and send email simultaneously. This required a special technique for the two machines to let each other know when they were working on a message so they don’t end up picking up the same one. my technique was, i believe, correct, but the implementation had some oversights. Long story short, this was the cause of the unfortunate mishap and i hope i have properly corrected it now.

Onto the fun stuff…

You may recall back when i relaunched this newsletter in April or so, i told you that i am working on a machine learning system for email marketing. i promised that if you would agree to be my guinea pig in the experimentation, i would share with you any interesting insights that came out.

over the past few months, i’ve had lots of amazing insights and our beta is almost ready for integrating into the live environment.

actually, we are now successfully predicting your response to an email up to a 5% margin of error. meaning, before you’ve even seen an email from us, we can tell if you will open it, if it will interest you, if you will click the link inside, and if you will buy what the email offers. All this, before we’ve even sent the message.

two of the features that we recently explored, which boosted our accuracy dramatically were “time to comply” and “number of emails to comply”.

i’ll explain. But first look at this graph…

Here we wanted to know how late after an email is sent it continues to receive interactions.

In the graph, the x-axis is the number of days after an email is sent before someone “complies”. Compliance, in this case, is to click the primary sales link in the email. The y-axis shows the normalised number of people who complied after that number of days.

Intuitively, you assume that when you send a marketing email, the majority of useful action occurs on the first day. Which is what the graph confirms. However, what you may not realise is exactly how long after that first day an email continues to work for you. In this case, as late as the 25th day, people are still reading and responding!

So if you don’t get immediately amazing stats on an email you send, don’t stress. it takes time for all the stats to come in.

Check out the second graph…

Here we wanted to know how many emails it takes to get the next compliance action from a subscriber.

The x-axis marks the number of emails sent between two compliance events. The y-axis marks how frequently each occurred.

The first peak between 0 and 5 is not a surprise to anyone. The most commonly read, clicked upon, and purchased from email is always the first message sent. In fact, of all your emails, the first message you send a subscriber is the most important and valuable.

However, what is a surprise is that around email 27 we see a sudden increase in compliance–a pattern that continues to spike for several days.

Keep in mind, this is not a specific email that perhaps was particularly impactful…but rather after a user has been exposed to 27 emails, they complied for the second time.

Now, i have always intuitively known this. In fact, in the Super Traffic Machine’s 7th manual, i was reminded by one of my writers that i specifically say it takes between 30-90 days to start seeing the sales impact of your email messages. And in my experience, once a user has, give or take, complied 4 times, they ultimately buy.

the graph above confirms this.

How can you benefit from this information? And why did i think you’d care about it?

Simply this…

Consistent follow-up by email is POWERFUL for driving sales from traffic.

While most people are trying all kinds of hacks and tricks to get people to buy on contact, sending traffic into naked affiliate links, and trying to make sales with minimal friction…

i welcome friction. and so should you. With email, you have multiple chances to try to get the sale. and if you’re consistent and persistent, eventually EVERYONE who was ever genuinely interested in your offering will buy. It’s just a matter of patience and persistence.

want to learn how to setup your affiliate business the right way, to benefit from email marketing like this?

Join the Super Traffic Machine at the link below…

~jim

Jim Yaghi

Jim Yaghi

Foremost Home Business traffic expert, Jim Yaghi is a Computer Scientist and Mathematician who used to build search engines for a living. At 16 he created a mildly popular social network and has been an online entrepreneur for over 15 years. In 2006 he rose to the #1 Affiliate rank in many Home Business programs (most notably Magnetic Sponsoring). Today he's best known for hatching the first industry-wide viral campaign to reach all major social networks, for hosting a top-10 Internet radio show for entrepreneurs, and for shattering industry sales records with his best-selling, easy-to-follow online marketing courses PPC Domination, PPC Supremacy, and Traffic KickStart.

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