Make Use Of Analytics To Create Effective Email Campaigns

Powering email marketing campaigns with predictive analytics is nothing new. But the recent surge in popularity is because predictive analytics has helped businesses make faster, smarter decisions that pay off. Predictive analytics should be devoid of assumptions and always backed up by statistics. Finding data isn’t the hard part though, the real challenge is using the information in a way that optimizes your email performance and benefits your marketing campaign. To deliver an email marketing campaign that converts, an email campaign strategy needs to be built around the data provided through analysis of previous emails and campaigns. Not only that, knowing the target audience and their email behavior pattern is also an important aspect.

With the right tools and methodology applied, you are sure to outperform your previous campaigns. Read on as we dive deeper. Metrics to focus on open range This is the most basic information you can get from your email marketing campaign. Almost all email marketing platforms provide this data. Open rates directly reflect the deliverability of your email, as the first step of an email is getting the subscriber to open your email. The most common way to Latvia B2B List this is by improving the first thing a subscriber sees in an email: the subject line. Subject lines play a vital role here, but a lesser-known fact is that when you work to improve click-through rates, you automatically improve your open rates. Relying on open rates is a bit tricky.

Since Most Email

Users disable images, open rates are a bit controversial and confusing. Although, open rates work best when used as a comparative metric, for example comparing two weeks open rates will give you a controlled variable that can be used as an average. Click Through Rate (CTR) The ultimate goal of any email is to shock the viewer into clicking on the CTA and ending up on your website. The CTR is the unit to measure that action. By knowing how the metrics work here, you can get an idea of ​​how many are interested in your offers or how many are willing to engage with your brand. As good CTR can create a chain of positive results, recognize what works best for your core audience and therefore apply that aspect more in future campaigns.

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For example, if your brand sells cosmetics, psychologically soft color palettes or extremely bold colors work well. Most of your customers will be women. Depending on your location, you can easily structure your copy in the jargon of that location. Plus, by knowing the time zone they reside in, you can schedule optimized emails for the best opening hours. These steps may seem trivial, but little things like these will keep your marketing campaign’s conversion rates up. Conversion rate Comparative data of how many users clicked. How many users are contributing to sales is called the conversion rate. This is a bit tricky as you have to deal with two different analytical systems. But if you know a purchase or sale was initiated from an email, that lead is a valuable conversion.

The Conversion Rate That

Is based on the CTA is the metric that directly reflects the effectiveness of the email campaign. In the image below, the first email triggers a transaction made in the follow-up email. Unsubscribe fee When someone unsubscribes from your emails, make sure you know the reason for their departure. Unsubscribe rates affect email deliverability. To ensure a low unsubscribe rate, let your subscribers communicate what’s bothering them in email. This welcome email from the BBC tells the subscriber what to expect and also asks them to submit their preferences. This helps lower the rate of unsubscribes. GetApp conducted a survey involving more than 500 US respondents aged 25-44.

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