email-marketing

5 Tips to Double Your Email Open Rates

5 Tips to Double Your Email Open Rates

I won’t get into a generic introduction to this blog by saying how important email marketing is, or how it is 40 times more powerful than a social post. You all know that, that is why you’re reading this blog in first place. Let’s get straight into the crux.  Want to increase your email open rates by a significant margin? Then read on. (A small disclaimer: this blog is a kind of memoir of my own experiences and hope the tricks which I applied, will work for you too)   Subject Line Probably the most important factor which gets your subscriber’s instant attention, Subject Line decides the fate of your email opens as well as your message inside. Best practices for a good subject line are: Keep it short and concise. Tell your audience in 50 characters or less what value they are going to get if they open the mail. Personalize. It’s always always advised that you use first name of your subscribers in the subject line. You may also add their company name or industry, even better. It’s like this you see, the more you add personalization to your subject line, the email open rates multiply. Avoid spammy words. Keep your subject line dirt-free and make it sound more genuine. If you use words like “Free”, “Reminder”, “% off”, it has very high chances that it’ll land up in the spam box. Instead, use strong words like “eye-opening”, “hack”, “critical” etc. Strong Header. In most of the email clients like gmail, yahoo etc., you can see the additional text after the subject line for the emails in inbox.That’s the mail content header and this too carries high priority, since it’s right there in front of your subscribers before they open the mail. Make sense in the header by putting strong words and snapshot of content inside. Remember to be creative, as you’ll get only 2-3 words to convince them.   Credible “From” name People gets judgy with the sender name of the emails they receive. They have a different priority levels assigned to different types of sender: Priority 1: Known People – Friends & families Priority 2: Known Companies – Companies they expect the mailer from Priority 3: Doubtful People – People they think they know, but not sure of Priority 4: Unknown People – People they don’t know Priority 5: Unknown Companies – Companies they have no idea about The priority list is not a stone inscription though. It varies. Even if you’re an unknown company, you may win an open from your customer by writing a kick-ass subject line. But let’s not take chances and stick to best practices. Use a human name in the “From” of email to increase your chances of email open. If possible, you use a name that you think your customers are already familiar with.   Personalization I can’t stress this point enough. Personalization is the most easiest, no-brainer way to boost your email open rates. Be it subject line, header or the email body, insert personal attributes of the recipients wherever possible. We ran an A/B testing with two different subject lines (it is always advisable to test just one variable in an A/B testing). See the results: Version A: Five use-cases of a cross-channel campaign Version B: John, five use-cases of a cross-channel campaign Obviously, version B was a clear winner with almost double the open rate of version A.   Best day/time The timing of your mailer is very important. There is no guaranteed answer to this though, as nobody can tell you that a particular time on a particular day will give you maximum opens. The best way to find out is to look back and dig deeper in your past campaign analytics. Create a matrix for “Time of Day, Day of Week” data and see which column pops-up to be the winner. I can help you with a ready answer by sharing what works for me. This will be helpful to you too if you’re targeting USA market, like me. Check out the matrix below, which my marketing application gives me on real-time: So for a particular week, out of the total opens my emails got, Thursday 3 pm got the highest share. In fact, I was not surprised since this is the industry standard for email marketing. To sum up: Best day to send emails is Tuesday through Thursday, and best time is between 3 pm to 6 pm. There you have it. But I would suggest you follow your own matrix.   Use reputed ESP (Email Service Provider) If you’re running an email campaign, there are high chances that you’re using a marketing application like FirstHive, because who uses Outlook for bulk email sends anymore, pfft! If you’re not using a tool, here’s why you should immediately sign-up for one: An application will smoothen the process of campaign creation and delivery You may create professional emailers using preloaded templates An application will let you personalize your campaign An application will let you automate your campaign according to the rules you set You can A/B test your campaigns via an application An application will give you deep analytics on your campaign performance If you step up from email marketing application a bit, and go for cross-channel marketing application, you’ll be able to do everything mentioned above, plus you may use the email marketing campaign data for designing your SMS or social media campaigns, and vice versa. Cool stuff, ha?   Bonus: Mobile optimization Industry sources estimate that more than 50% of your subscribers will check your email on a mobile phone. Your email should be optimized for smaller screens, not just with design but also with content.   Hope you find the hacks implementable If so, would love to hear your thoughts or feedback. Even if you don’t want to follow any of the above, here’s a short-cut tip for you: start by checking your email inbox, look for promotional mails, see if they entice you enough to click on that. If yes, try out a similar campaign. If no, never try that. I would like to conclude this blog with an interesting tip I read in a book and later tried myself and seen actual results: When you send an email campaign to your subscriber list, the chances are only something like 30-50% of them open it. That’s over HALF of your list that don’t even get to see what’s inside. Which means they are either making a decision purely on your subject line, or the email has slipped through the cracks of their inbox. After sending a broadcast email to your list, wait about 7-10 days. After waiting for 7-10 days, re-send the exact same email to everyone who “Didn’t open” the original campaign. Except, this time change the subject line. Of course this group of people are most likely less engaged than the group that DID open the original email. But what you will find is that about 10-15% of the others will open and click on the re-send. That is a massive chunk of people you weren’t engaging with otherwise.   Hope this blog will add value to your next email campaigns. I’d love to hear if you’ve interesting and better tips for me too. I’m trying something new every now and then and will share more tips in near future. Till then, peace out and keep emailing!

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8 Important Things to Consider Before A/B Testing

8 Important Things to Consider Before A/B Testing

As most marketers would know, A/B testing (also called split testing or bucket testing) is the process of testing multiple variations of web pages or e-mailers sent to customers, to try and ascertain the elements on a page that convert, and to get landing pages or mails that boost your marketing ROI. A/B testing is pertinent for marketers to ensure that they are optimizing the design and messaging of your marketing. So what goes into creating a good A/B test? Let’s consider a few points. It’s not about the tool Let’s address the elephant in the room first. Getting A/B testing right is not dependent on the tool, but on other factors that we will discuss below. There are plenty of tools that let you run and analyse A/B tests, and I keep hearing marketers lament how the use of a specific tool helped or hindered their A/B test. At the cost of repetition,I will say this again. Beyond a point, as long as the hygiene factors are met, focus on your metrics and test attributes, rather than just the tool used. Identify the right metrics to track The starting point for a successful A/B test is to identify the metrics you wish to validate. Bear in mind that this does not imply that you are starting off with a hypothesis. For that may influence your choice of attributes and prevent you from creating an unbiased test case. Are you optimizing for increased time on page, clicks, or offline actions influenced by your page content, ensure that the right metrics for your business are identified at the start of the test. Remember, you cannot improve what you cannot measure. Test key elements, one change at a time Do not change too many page attributes at one point. An A/B test is meant to check one change at a time. Having multiple moving parts will prevent you from being to accurately attribute the improvements to a specific change. Think as your user At the end of the day, whatever you do as a marketer, you do for improving your engagement with your target users. Recognize who your target audience is and ensure that all your content speaks to them. Experiment between “My” and “Your” variations on your page (e.g. “Download your free copy” versus “Download my free copy” call to action buttons) and see what impact it has on your conversions. Manage tracking pixels properly This cannot be overstated. You do all the work, create the framework, drive the traffic for your test, only to find out that the tracking code was inserted improperly. Take the help of your technical team if required, but use some test traffic to ensure that the corresponding data is showing up in you dashboard. Test mobile versus desktop traffic Realize that mobile users on your site react differently from desktop users. Ensure you segregate your traffic by traffic type to get a clear idea of how each cohort is behaving. Test traffic from various sources Look at your Google Analytics dashboard to get a view of how users are coming in to your site. Your site attracts traffic from multiple sources, so be sure to test the same when you conduct a A/B test, depending on the profile of customers you are targeting. Each user has a different persona, a different context with which they interact with your brand on a particular channel. Draw out a traffic behavior versus source chart to see if any interesting cohorts are thrown up. That may make for interesting reading. Account for various time of day and day of week events Traffic on your site would typically not be uniform through the week or even through the day. Ensure you give your test enough time to run, to negate any time of day or day or week variations or impacts that may sully the results. Anything else we missed in our list above? Do let us know in the comments.

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