Nov 13, 2013
Subject Line Data: Choose Your Words Wisely
Most people quickly scan the subject lines in their inbox before deciding which messages are worth their time and attention. With so much pressure on the subject line to entice the potential reader, we thought it would be interesting to see how much of a difference a single word can make in a campaign’s open rate.
To get some answers, we studied approximately 24 billion delivered emails with subject lines composed of approximately 22,000 distinct words. If you think that sounds like a lot of data, you’re right. We looked at subject lines both in general and within specific industries. Here’s a quick rundown of our criteria and approach:
- Investigate campaigns sent by users from the United States with tracking turned on in the past year. Only consider campaigns that were sent to 500 recipients or more, and only consider campaigns sent by users who have sent 10 or more campaigns before.
- For each campaign, calculate the open rate and standardize it using the user/list average open rate and standard deviation.
- Remove special symbols and convert subject lines to lowercase. For any given word, average the performance of all related subject lines and perform t-tests to identify high impact words.
- For every subject line being tested, create flags for the presence of high impact words. Perform a correlation analysis on word presence to determine which words are frequently used together. Create additional flags for frequently used word combinations.
- Perform a linear regression analysis to estimate the impact each word has on standardized campaign open rates when accounting for all other tested words. Repeat this process on industry-specific data sets.
The numbers presented below are standard deviations from the mean open rate for a user/list. Words with positive impacts resulted in increased open rates, and words with negative impacts hurt those same rates.
Results for comparable word groups
The output of the regression analysis suggests that similar words often have similar impacts on open rates. Makes sense. Still, choosing the right words can result in higher open rates without altering the bottom line of your message. Again, to interpret these results, it’s important to know that a standard deviation is a standardized measurement of how much something deviates from the average value. One standard deviation for a user who tends to see large swings in open rates will be a higher percentage than it will be for someone with consistent open rates. That means choosing words wisely will have a larger impact on open rates for people with a higher standard deviation, while users with very consistent open rates can expect to see smaller changes.
Personalization works
MailChimp’s merge tags let senders include first and last names provided by the recipients in campaign subjects or bodies. The impact this has on open rates has been debated before, but the consensus is that it’s positive. Our analysis found that personalization does indeed increase open rates. One of the most interesting findings is that, though the use of both first and last names in a subject is less common, it has the largest positive impact on open rates. Many of these campaigns seemed to contain highly personalized content.
Congratulations, *|FNAME|* *|LNAME|*
TED2014: Invitation to register for *|FNAME|* *|LNAME|*
Hi *|TITLE:FNAME|* *|TITLE:LNAME|*, please update your email preferences

Our analysis also showed that first name personalization is used much more frequently than last or full names, so we decided to see how the impact varied by industry. We focused on industries where the impact was significant, and found that there are several industries where use of the first name has a large positive impact. The most surprising finding, however, is that first name personalization has a negative impact on open rates for the legal industry.

“Free” isn’t guaranteed to help
Does including “free” in your subject line entice potential readers to open your message? It does, but not always. The next few charts show that although the impact of using “free” in a subject was found to be positive and statistically significant for certain industries, it was smaller when looking at all industries on a higher level. Interestingly enough, use of the word “freebie” was found to result in a much larger increase in open rates.

The high level results suggest that using "free" doesn’t have a large impact, but we investigated at the industry level to see if that result is consistent across the board. What we found is that people in the medical, retail, and travel industries should avoid using the word "free," but restaurant and entertainment industries can certainly benefit from it.

People respond to a sense of urgency or importance
Needless to say, all of your emails are important. But there may be times when you feel like you need to use a couple attention-grabbing words to let your readers know that your most recent message requires immediate attention. It works. Words like “urgent” and “important” resulted in open rates that were much higher than normal.

Announcements, invitations, and cancellations
Recipients are much more intrigued by announcements and event invitations than cancellations and reminders. It would appear that repeated reminders and cancellations don’t pique their interest quite as much.

It might make sense that people don’t open emails about cancelled events. Sometimes the title says it all. Still, we wanted to know if this impact was consistent across industries. What we found is that using "cancelled" in subject lines is negative whenever the impact is significant—except for in the restaurant industry, where recipients seem more interested in reading on.

Requests for donations are largely ignored
Throughout the analysis, words related to charitable actions and donations had a negative impact on open rates. Although all these words negatively impact open rates, choosing the right ones can mitigate the detrimental effect of donation requests. Of all the related words we studied, "donation" had the most negative impact. "Helping" had the best impact, though it can obviously be used in more contexts.

Frequently used word pairs often have significant impacts on open rates
During our analysis, we identified a number of word pairs that were frequently used. Sometimes two words can provide context that a single word can’t convey. We thought it would be interesting to see how some of these word pairs perform.
First and foremost, people love to be thanked. It’s also apparent that campaigns about current events, like natural disasters and political issues, have higher open rates than normal. And finally, it seems as though recipients don’t like to be asked to sign up for anything—and they really don’t like being told they’re missing their last chance to get something they’ve already been emailed about.

Capitalization can help slightly
While performing the analyses above, we looked at the impact of capitalization on open rates. The results were quite surprising. First of all, the use of an entirely capitalized subject line resulted in slightly higher open rates than usual for a given user/list.
We then cast a wider net to see what the impact of having at least one fully capitalized word was, and the effect was slightly negative. Both of these impacts, though small, are statistically significant. It’s worth noting that our methodology compares campaign performance to other campaigns from the same user to the same list. That means completely capitalized subjects result in higher open rates for senders that also use mixed-case subject lines.

What does it all mean?
Many of these results can be applied to campaigns in a straightforward way. For example, we can say that these things are likely to increase open rates:
- personalizing subjects
- marking appropriate emails as urgent
- thanking your recipients
We can also say that choosing words wisely when soliciting donations or reminding your recipients of upcoming events can minimize the number of unopened emails.
The more interesting takeaway, though, is that a single word’s presence can dramatically alter the likelihood that your readers will open your emails. The content of your message is really what determines which words you use, but with so few words in a subject line, each one matters quite a lot.
MailChimp’s tracking options enable you to take a similar look at your own campaign history. Maybe you’ll notice a recent email that asked for "donations" rather than "help," or a crucial message that was labeled as "urgent" rather than "important." Basic campaign stats can help you figure out what works best with your own recipients, and A/B split testing can automatically conduct experiments to see which words work for your subscribers, following through with the best choice.
Above all, just remember that one word can make a big difference.
Rishi
My favorite one was Freebie Vs. Free. Also, who knew that Capitalization counts in subject lines. You guys have some of the coolest data insights.
11.13.2013
Brianne
This is an awesome post. Lots of great data for my team to incorporate into our next campaign. Thank you. :)
11.13.2013
Erik
Great article, but this page does not print out well. Most of the article gets cut off. (IE and Firefox on Win7). CSS print styles or JS throwing things off, maybe?
11.13.2013
John MailChimp
Hi Erik, If you have Chrome installed you can go to file and the print. It’ll basically turn it into a PDF for you and print from there. Looks like it’s a pretty good match to the original.
11.13.2013
Terry
Or, to print sans distraction, use Evernote Clearly.
11.16.2013
andrea
Well never mind the data (which is great insight by the way) – that pdf tip is the most useful thing I’ve learned all week! Not being a regular Chrome user I never knew I could do this.Thank you.
02.19.2014
Alex Horton
Fantastic article that, through covering so many different industries, really necessitates future related posts. As a lawyer, I can appreciate why recipients would try to get away from a personally addressed subject line. I would be particularly interested in learning about which posts from that industry have proven to be successful. Anyways, great post!
11.13.2013
Nick
Agreed – given how different the impact is per industry, it’d be helpful to see a series of posts that drill down into specific niches & spaces. Maybe even a “best practice” guide?
11.21.2013
Shawn
When you say that “Capitalization can help slightly” are you referring to UPPERCASE / ALL CAPS or to Tile Case?
e.g.,
A) A SUBJECT IN ALL CAPS;
B) A Subject In Title Case;
C) A subject with One or more capitalized letters;
D) A subject with ONE or MORE words in ALL CAPS
11.13.2013
Neel MailChimp
Hey Shawn, we were considering option A, subject in all caps. The second test that we did was to see if there was a single word that was in all caps.
11.14.2013
Hannah
I’d be interested to learn what the effects of using different title casing would be on open rates, if you ever do a follow up (i.e. First letter of first word capitalized versus First Letter of Every Word Capitalized).
12.18.2013
Neel MailChimp
Hi Hannah. Although we did not measure the impact of those two particular types of capitalization, we will definitely keep them in mind for future analyses.
12.18.2013
Pat Grumley
I was always taught that using ALL CAPS in the email subject header was a red flag for most spam filters and was thus supposed to be avoided…? thoughts?
good article thanks
Pat
02.17.2014
Luke
Great write up, and great research. Would love to see the graphs all set to a standard scale though – it’s confusing when skimming through seeing the +0.07 effect for capitalization look bigger than the +0.57 for “Thank you”, for example.
11.13.2013
Neel MailChimp
Hi Luke, I can definitely see why you might want charts to be on a standard scale. We chose to have the charts set to different scales because of the large range of values we were working with and the desire for all of the charts to be large and readable. The main goal of the charts was to enable readers to compare similar words, and those words would all be in the same chart.
11.14.2013
Jay @hautepop
Your “Free vs. Freebie” chart might benefit from any scale at all! Axes that don’t start at 0 are misleading.
Otherwise a very interesting blog post, thanks for sharing the insights.
11.14.2013
John MailChimp
Whooops… Thanks for catching that Jay. We’ve got that chart updated now.
11.14.2013
Jon
Pretty stellar post. But by impact on open rate in standard deviations, I assume you mean the standard deviation of the sample, not the sample means, right? Are all these results statistically significant? One would think so with billions of emails, but I thought I should ask.
11.14.2013
Neel MailChimp
Hi Jon, I’m glad you like the post. The impacts on open rates are in sample standard deviations, with the sample being the campaigns for a user/list, and all of the results we are showing are statistically significant. In fact, a very large portion of the results were statistically significant, but we chose to focus on a few results that we thought would make for an interesting quick read.
11.14.2013
Jon
Fantastic. Could you please share the sample standard deviation itself in % terms? That would make the post even more valuable!
11.14.2013
Neel MailChimp
The standard deviation was different for each user/list. Our methodology subtracted the average open rate for a user/list from the open rates for that user’s campaigns. This value was then divided by the standard deviation of the user/list open rate. This resulted deviation values that were comparable across users. If a word was found to have a significant impact in standard deviations from the mean value, this means that the impact in percent terms will be larger for a user that tends to have a highly variable open rate. Unfortunately, there is not a single percent value that we can attribute to any of these results.
11.14.2013
Jon
Oh, I see – that sounds like a very sensible procedure. I see now why one universal standard deviation would not be proper. So, to interpret this, I should think about my open rates, and the standard deviation of my open rates, and then your data gives me a reasonable expectation that subtle improvements of or changes in my subject line might make an impact at this fraction of a standard deviation of my open rates. Is that a fair interpretation?
So I guess it’s fair to say what I really want to know is something about the distribution of standard deviation in open rates to make this post quantifiable, in terms of the ROI of thinking about it.
That is, for a median Mailchimp customer (across all industries, or for a particular one), what would be a typical improvement in net open rate if they adopted, say, using “Urgent” in the subject line.
Thanks, I realize this is a lot of questions and the post is already compelling, but I would find it really impressive if I could quantify the expected improvement level in a way that was not specific to my particular open rate standard deviation, so I know if it’s worth A/B testing some of your suggestions, for instance.
11.14.2013
Neel MailChimp
Although high level statistics on mean open rates and standard deviations could help paint the big picture, the best way for a single user to assess the impact of a single word would be A/B split testing. Split testing almost always helps open rates, and it will let you know what really works with your audience. It is also really easy to do with MailChimp. Unfortunately, calculating an expected change in open percentage based on average values would not be an accurate benefits estimate for most users, but the standard deviation values should give you an idea of the relative strength of a word.
11.14.2013
Erwin
Intresting article, how does Mailchimp handle firstnames when a user only puts in his first letter? That would give some weird subjects, instead of “Thank you for doing business with us John” if would say “Thank you for doing business with us J.”
Is there somekind of fix for this? Or should you just accept the fact that there are users with only one char?
11.14.2013
John MailChimp
Hi Erwin, In the hosted forms that you build within the app, we don’t have any length validation. That being said, if you built a custom signup form that you hosted yourself you’d be able to add some validation in to handle that. Alternatively, you could look at a third party option like, the CoffeeCup form builder or Wufoo to provide some additional form options and validation.
11.14.2013
Erwin
Hi John,
We add them using the API these are customer that order products in our store and we don’t want to restrict them in filling in a firstname thats larger then one char. I guess we have to accept it when we deside to use the firstname in the subject.
11.14.2013
John MailChimp
Hi Erwin, If you don’t want to restrict it at the entry point, you could do it with a little custom code at the point of import. You’d basically drop “FNAME” if < 2 characters or something like that. In the body of the email you could do some conditional merge tags to make it pretty, but unfortunately, you wouldn't be able to apply that same bit of magic to the subject line.
11.14.2013
Maryna
Fasinating! Valuable advice! Thanks!
11.14.2013
Rose
Great survey! Thanks for sharing….
11.14.2013
Rajendra
Thank you for this very helpful post with interesting findings. Learnt something to be cautious in choosing the words.
11.14.2013
Alina
Very cool. Thanks, Mailchimp! For sharing insightful information, as always.
11.14.2013
Gary
Oh man… So much data! I’m loving this.
Great post, Neel.
11.14.2013
Jeanine Gehringer
Great article – very helpful. I’m very pleased with Mail Chimp! I’m a fairly new user and not at all techie. Your service is very user friendly and your staff seem reachable and friendly. Keep up the good work.
11.14.2013
Eric
Thanks very much for such a fascinating and useful report. With donations to nonprofits, subject lines and opens aren’t always the whole story. Some of my best-performing donation campaigns have included words like gift, support, donate and even “last chance” (!). While the open rates may be lower vs. more ambiguous subject lines clickthrough rate and donation conversions are often higher because the people who do open the message are more primed to give (and those folks might well be MORE likely to open an explicit fundraising appeal). None of which contradicts the findings above, of course, but email marketers also have to consider their audience, segments, and measured conversions alongside sheer open rate.
11.14.2013
Kevin
Awesome content, Neel. Very relevant for a campaign we’re in the midst of currently. Thanks for the great insights.
11.14.2013
Ruby Laureus
Excellent post …… Thanks for sharing
Regards
Ruby
11.15.2013
miguel
Thank you for sharing this.
Any research on the length of subject lines? Or whether it’s better to write 3rd person vs active voice…
for instance…
– Wine tasting event invitation
– You are invited to a wine tasting event
My own work and Open Rates suggest that longer subjects aren’t a deterrent, per se. What are your experiences?
11.16.2013
Neel MailChimp
Hey, Miguel. Subject length is an incredibly interesting topic, and we appreciate you sharing your results. We had considered discussing subject length in our post, but we already had a lot to talk about. We may address it in the future.
11.16.2013
Mike
Yes Please. I was looking for this subject when I found your page. Subject length research would be good.
03.14.2014
Annie
This is pretty cool! Thanks guys! <3 :D
11.16.2013
Hugo Ferreira
> Subject: Thank You John Smith, Here’s An Urgent Freebie for You
I guess this makes it the killer subject line to rule them all, right? :)
11.17.2013
Nic
You forgot the caps :)
11.29.2013
Jen
I would like for this post to have some share buttons. :)
11.17.2013
Terry
Our most popular campaigns have subject lines that include the words “free ice cream” or “party.” Enough said.
11.18.2013
Chris
Hey Neel!
I really like the central idea of the study, “how certain words in the subject line alter the chance of opening of an email”.
Please note that this is not a ‘hater’comment, I was just thinking how I would fish out summary information from this wealth of data. Since I haven’t seen the actual data but have framed the ideas based on this article, I may even be wrong on certain issues.
Although I like graphical presentation in this article, I have a few concerns in how you interpret the data in view of the statistical analysis.
1. “Open rate” is, in a strict sense, a misnomer. It is not a rate in a mathematical sense, but a proportion (# opened / # sent : where # sent = # opened + # unopened) (‘#’ refers to number).
2. The open rates are calculated at the campaign level (macro level) . Since the rates correspond to their respective campaigns and hence their own industry, one would not be able to study the simultaneous effects of industry and word impact on the open rate (for example, interaction effects in a regression setting). Moreover, the regressions are carried out within each specific industry. How then were the estimates combined across industries (meta data summary), especially if there are industry specific heterogeneity like interaction effects? Would there be any ecological fallacy when combining effects at the macro level?
3. Standardized open rates (centralized with respect to mean and scaled with SD) within each campaign seems to be a bit artificial in the sense that it is done to facilitate linear regression at the campaign level. However, a logistic regression at the individual (email) level data would offer much more insight and the influence of words can be more directly interpretable (in terms of conditional odds and probabilities: for example, chance of opening an email given the presence of a word in the subject line after adjusting for other variables (other words and industries) ).
Cheers,
Chris
11.19.2013
Neel MailChimp
Hey Chris, thanks for the detailed response. I’m glad you found the post interesting.
1. The term open rate is used in email marketing to describe the percent of sent messages that are opened. While this may not fit some other definitions of a rate, we are merely using the terminology most commonly used in the industry.
2. There are many different ways that the impact of a single word could be measured. The method that we chose involved campaign-level observations and a linear regression that was run using all industries as well as additional regressions that focused on single industries. This enabled us to report results that were not industry-specific as well as results that were industry-specific. While it is possible that some industry-specific insights may have been lost when looking across all industries, we felt that focusing on industry-specific results would have made the post too long. Ultimately, the post is meant to offer a few useful insights that anybody can use while also inspiring our more curious users to analyze their own campaign history or try experiments of their own by split testing.
3. We agree that a logistic regression would have been an interesting analysis, but we felt that a more straightforward linear regression and the results it would produce might be easier to understand for our readers, many of whom do not have statistical backgrounds. Although an explanation of the methodology is necessary for a good post, we do not want the methodology to be a road block for any readers that are not familiar with it.
All of this being said, we would be very excited if our post inspired others to try to replicate this analysis using the same or alternative methodologies.
11.19.2013
Chris
Hey Neel! Thanks for the response. Yes, I do understand that readability will be compromised, especially for non-technical audience, when more intensive data analyses procedures are employed.
I really appreciate the study design of this experiment. I am sure that there is quite a lot to explore in this field. For example, most email systems have built-in spam filters that work based on learning algorithms. Most, if not all, subjects with stereotypical spam key words are segregated at the entrance of these systems. I am not sure whether this was addressed in your study.
Your research has led me to think about how one can effectively campaign through emails amidst all these factors in place: recognizable spam words, spam filters (specific to email systems such as gmail / yahoo / hotmail, etc), relevant industry, to mention a few.
It would be nice to set-up experiments targeted at learning mechanisms that will increase readability.
11.19.2013
zoe
Great Post- so useful! thank you.
11.19.2013
Christelle
Fascinating research, as always! Will be sharing… Thanks!
11.19.2013
Jeff Shjarback
Thanks for the data and analytical insights. I am surprised “Urgent” did that much better than “Alert” in the subject line. I also found the results from “Free” vs “Freebie” interesting. Very good post.
11.19.2013
Daumantas
I like this data! Thanks!
11.20.2013
Kathleen Cooney Clarke
NEEL, THANK YOU FOR ALERTING US TO THIS IMPORTANT INFORMATION.
11.21.2013
Neel MailChimp
I found it very difficult not to reply to this message, so it looks like it worked.
11.21.2013
John Glenn
Good stuff, please don’t stop there. Might be useful to look for some standardized descriptions of industries for consistency ie to see the differing responses by Government to Manufacturing for example. l
11.21.2013
Kammie @ Sensual Appeal
Great stuff! Very informative, I’ll definitely keep in mind the Free vs Freebie one as well as the huge importance of “Announcements” I’m surprised about the negative impact of “Last Chance” because I see it in emails allll the time. Guess it insinuates that it’s about sales so that’s probably why. Great data, please keep doing this!
11.22.2013
Derek Cavaliero
Awesome article very useful information,
I have a client who has the functionality on their site to invite another user to subscribe to the site’s email list.
The problem is, unless I create an entirely separate list for the invited subscribers, I can’t use conditional merge tags in the opt-in confirmation email subject line.
Is there a way to do this using another Mailchimp hidden gem? Or is making a separate list the only way to do this to change the subject line of the opt-in confirmation email.
But still, very very cool article.
11.22.2013
John MailChimp
Hi Derek, Conditional merge tags in the subject line isn’t supported at the moment, but if you wouldn’t mind, I’d recommend reaching out to our support team at: http://mailchimp.com/chat They’ll be able to take a closer look at your account and while I don’t believe there’s an exact way to do what your saying, they may have some creative alternate options.
12.02.2013
Andy
THANK YOU NEEL! THIS FREEBIE ANNOUNCEMENT IS GREAT!
Did I get that right? I couldn’t squeeze URGENT in there, but I would have if I could…..
11.22.2013
Neel MailChimp
Important: using all of the positive words in one subject line may cause your open rates to exceed 100%, a mathematical impossibility that will cause our computers to melt.
Seriously though, I’m glad you liked the article, Andy. It is worth noting to all readers, however, that the results of this analysis can not necessarily be expected to add up when using all of the winning strategies that we have discussed. It is also important to remember that because the word-impact was measured as a difference from the users average open rate, using these words in every subject line you send will not work. People will eventually be desensitized, and this will most likely hurt your reader engagement.
11.22.2013
Smartdigit
This is really an issue: people are becoming desensitized to emails unless the subject line is very relevant to the person who subscribed or opted-in. I am trying to figure out how to gauge things so I find all this information very valuable and appreciate the research you did for the post.
I have become desensitized and will instantly delete all emails that are not relevant to me without opening them. Anything that I do not recognize, freebie, worse yet all caps, no way – delete.
Really like this article Neel. Pleas keep it simple and straight forward just like this, so simple people can get the picture real clearly. Love Mail Chimp and what it offers.
02.18.2014
Fred
Great post, love this stuff. Did (or could you) do any research as to whether including your brand name (or a ‘brand name’ for the newsletter) is helpful or not?
For instance, we typically say something like “ReVision Newsletter – Name of Newsletter here” so that the user can immediately identify that it is a particular publication from us. We do a digest content publication so the relationship with our readers is different from CTA type emails, most people like their length format and don’t seem to mind reading a bit more.
– Fred
11.25.2013
Neel MailChimp
Hey Fred. We did not look into the use of the sender’s brand/company name in the subject, but that is an interesting idea. There are a couple of potential roadblocks to that analysis, however.
The first would be identifying the use of a brand name. Users typically do not use merge tags for their own brand name, since it is not a variable. This makes it a bit harder to identify the use of a brand name across all users.
The second issue would be the likelihood that these brand names are used in all subject lines. Our analysis tests the impact of a subject line relative to other campaigns for that user. For this reason, a word that is used in all campaigns for a user would not really register as having an impact in the analysis. If you use “ReVision” in every campaign that you send, we can’t really tell if that is hurting or helping your open rate because we can’t see how your campaigns do without your brand name. Using a word in every subject line might also set an expectation for a subscriber that is looking out for your email.
We’ll definitely keep brand name in mind for future analyses and blog posts.
11.25.2013
Fred
Thanks for the quick and thoughtful reply! I see why getting this data en masse could be hard, we of course continue to do our internal testing but I’m curious what the ‘norm’ is. We find we break some of the ‘rules’ for email marketing (really long in depth content, long subject lines, no links to click on really), but our campaign stats are good and in a recent survey our audience was overwhelmingly supportive of the current content and its delivery schedule. So, no one size fits all, but we appreciate MailChimp for making it easy to track stuff that helps us make good decisions.
– Fred
11.25.2013
Meryl Evans
Curious how different the results would be if it analyzed B2C and B2B. I believe many nonprofit organizations and very small businesses use Mailchimp — many of which tend to be B2C.
11.25.2013
Christian Horsfall
Some of the data in this article contradicts an earlier article on the MailChimp site.
“Another finding: personalization, such as including a recipient’s first name or last name, doesn’t significantly improve open rates. Providing localization, such as including a city name, does help.”
http://kb.mailchimp.com/article/best-practices-in-writing-email-subject-lines
Does personalisation improve OR or not?
11.27.2013
Neel MailChimp
Christian, it makes us incredibly happy that there are people like you who fully utilize the various resources that we here at MailChimp have to offer. We have a couple of resources out there for subject line writing that are based on older research, and we will be updating them in the near future. We have already begun to incorporate some of our new research findings into tools like the subject line researcher that you see when you are creating a campaign!
11.27.2013
Christian Horsfall
Hi Neel,
Thank you for taking the time to respond to my comment. I do however feel that my question was not answered. I am currently researching subject lines in order to write copy guidelines for my client and I was wondering if you had a definitive answer for me.
11.27.2013
Neel MailChimp
The impact of personalization seems to vary by industry. The chart above shows that it is helpful in several industries, but it has a negative impact in the legal industry. In the industries that are not listed in the chart above, the impact was either not statistically significant or very small. Personalization generally seems to help open rates, however. I hope this helps.
11.27.2013
Christian Horsfall
Thank you Neel.
11.27.2013
Iva N.
This is super helpful. Can you please clarify what you mean by industry? Are the emails campaigns originating in those industries, targeting consumers (so B2C), OR are the recipients themselves in those industries (B2B)?
In other words, I can see personalization helping in B2C, but have a harder time believing it when the target recipient is a mid to senior level business person and it hits their work account. Do you have a read on that?
Thanks!
12.04.2013
Neel MailChimp
Hi Iva. The industry labels that we use are provided by users when they create accounts. The messages that we track are therefore sent from businesses or individuals in those industries and are received by a variety of recipients.
12.04.2013
Iva N.
Ok, so industry refers to the industry where the sender sits. Ok, thanks!
12.04.2013
Moritz
Thank you for that analysis. The results are both fascinating and confusing to me. In my opinion most of the well-working words are typical spam indicators.
To clarify I do email marketing for the German B2B-market, so I suppose most of your data is taken from B2C campaigns.
Nevertheless in my experience words like “free”, “freeby”, words that imply time sensitivity, or capitalization imply spam. While subjects with integrated recipient name imply that they are auto-generated, which usually means spam.
Of course I cannot provide any statistics for my opinion, maybe this is also a B2B mindsetting or even a mindsetting in the German market. But I believe working with such words in titles would not work well in my market…
Regards
Moritz
12.06.2013
Matthew MailChimp
Hey Moritz,
There are so many different spam filters out there, and you’re right, some of them are looking at keywords in the subject line and the email body. Generally though, a few keywords are not enough to send an email to the spam folder.
These filters work by scanning incoming email for certain features and assigning a score for each “spammy” feature it finds. While some features, like ones that indicate the presence of a virus, might cause an email to go directly to the spam folder, simple features like keywords or the image/text ratio are generally not enough to get an email sent to spam on their own.
I think this blog post shows that emails with keywords like “free” are still getting opened and therefore sent to the inbox for a lot of domains… enough to make an impact on our stats.
Of course, every user’s market is going to be unique. There really is no substitute for doing a few A/B splits and testing things for yourself.
12.06.2013
Jared Graf
Hi Neel, do you have data for freebie by industry? Curious to know if it has a similar impact on certain industries as free even if overall it’s more effective.
12.13.2013
Neel MailChimp
Hi Jared,
We did not split Freebie up by industry because it was used in far fewer industries. In industries where both “freebie” and “free” are appropriate to use, A/B testing should provide some interesting results. The difference between “free” and “freebie” across all industries is likely due to the different tones of the words and the way that those tones lend themselves to different industries/contexts.
12.16.2013
Keys
I imagine the ALL CAPS subject lines are opened a lot, but are then followed by disappointment. Caps naturally cause an overly urgent feeling and if the email body is not in fact of an overly urgent nature to the reader they quickly lose your trust. That’s just my sense.
01.09.2014
Paul
Quick question about capitalization. When you say the entire subject line capitalized. Do You Just Mean The First Letter Of Every Word? OR DO YOU MEAN EVERY LETTER OF EVERY WORD?
01.30.2014
John MailChimp
Hi Paul, That was a little tricky, but Neel mentioned in one of the comments that the first test he did was WITH ALL CAPITALIZATION and the second test he did was with ONE word capitalized.
01.30.2014
Paul Keep
Oh ok thanks!
01.31.2014
Jenny
Your campaign doctor tests used to say that TOTAL CAPS IN A SUBJECT LINE would get knocked back by a spam filter… so why would we use them? The previous info told us to write every word with a capital letter… like this “Subject Line of Words and Information”.
Open rates change from week to week, but my average is 24-30 percent. I suspect that people just don’t like reading emails as its too time consuming in such a time poor world.
I know I need to write shorter emails with more pics… but then we’ve all be told not to have just pics or less words than pics.
Maybe all this email lark requires more bananas, a chimp personally helping with the first few emails we send and a borrowed brain from a rocket scientist… just until we can each get our open rates improved ;)
02.11.2014
Neel MailChimp
Hi Jenny,
We are constantly updating our research, and the information in this post reflects our most up-to-date understanding of subject lines and their impact on open rates.
The way that spam is handled is also very complex. Matthew, one of our delivery engineers, previously gave this explanation of why a single word usually won’t send your email to the spam folder.
02.18.2014
Kathleen Baldwin
I really appreciated this article. PLEASE do more studies like this?!?
Thank you
02.17.2014
Jonathan
Very interesting post and data! Thanks, and keep it up :)
02.17.2014
The DIY Psychic
This is great! I’ve been noticing a lot more people in my industry using all lower cased subject lines. It certainly entices me to open them. Thanks for doing all this research :D
02.19.2014
Duff
So the ultimate subject line is…
Announcement: *|FNAME|* *|LNAME|*, Urgent Freebie To Thank You
02.19.2014
andrew morris
Great blog article and some cool stats here!
Only problem? NO SOCIAL SHARE buttons…. naughty MailChimp, very naughty.
02.20.2014
Darren Davis
These are some sexy stats! Thanks for sharing them Neel :-)
Best,
Darren
04.23.2014
Sue Coore
Thank you! A friend just forwarded your research to me and it is so helpful. I’m curious if this has been updated or if it is still relevant. 2013 seems very long ago!
08.19.2015
Neel MailChimp
We’re glad you like it, Sue! The numbers in the document have not been updated since the original post, but I would not expect them to change all that much. We will consider updating them down the line.
-Neel
08.19.2015