Cracking Email Conversions with Data-Driven Insights

Finance Published: October 28, 2018
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The Hidden Cost of Volatility Drag: Using Data to Increase Email Conversions

The email marketing landscape has evolved significantly over the years, driven by technological advancements and changing consumer behavior. However, despite the growth in digital marketing, there are still many marketers struggling to convert their email campaigns into meaningful revenue streams. One key area where data analysis can be instrumental is in increasing email conversions.

Digging Into Your Campaign Metrics

Most every email platform will share the basic metrics associated with your individual campaigns, including click-through rates (CTRs), open rates, conversion rates, and bounce rates. While these numbers are essential for understanding campaign performance, they only scratch the surface of what can be done to optimize results.

To gain a deeper understanding of how to improve email conversions, it's essential to leverage Google Analytics data, which provides a wealth of information on user behavior and device interactions. By analyzing both your Mailchimp campaigns and Google Analytics data in tandem, you can get a more comprehensive picture of your audience's needs and preferences.

Ensuring UTM Codes are Properly Applied

One critical aspect of effective email marketing is the use of UTM codes to differentiate each campaign in Google Analytics. Most major email platforms have direct integration with Google Analytics for automated UTM link generation, making it easy to apply these codes across your campaigns. However, ensuring that you're using them correctly can be a challenge.

To avoid this common mistake, it's essential to use UTM codes consistently across all your email marketing links, including those in the body of the email and any images or videos used in your campaigns.

Campaign Analysis: What Actually Worked

The key to unlocking revenue-generating potential lies not only in segmenting your audience but also in analyzing past campaign performance. By using Campaign as a secondary dimension (SLter) in your default Location report, you can identify which messages resonated with specific audiences and develop targeted messaging strategies.

For instance, Campaign 1 and Campaign 3 resulted in transactions in New York, Chicago, and Los Angeles, suggesting that these cities are particularly responsive to email campaigns targeting these products. By analyzing the Product Performance report with a secondary dimension of Campaign, you can identify which products were most popular among each city and develop targeted product offerings.

Using Past Performance to Modify Future Strategy

Once you've identified what works and what doesn't in your past campaigns, it's time to take action. To maximize revenue-generating potential, review non-converting campaigns and identify opportunities for improvement. This may involve adjusting messaging, timing, or targeting.

For example, a campaign that failed to convert might have been sent at the wrong time of day or day of week, resulting in poor engagement metrics. By analyzing your email platform metrics and Google Analytics data, you can narrow down the cause-and-effect relationships and make targeted adjustments to improve future campaigns.

Maximizing Revenue-Generating Potential

To truly maximize revenue-generating potential, it's essential to dig deeper into campaign performance. Use higher-performing campaigns as a starting point for analysis, examining what worked well and what didn't. By leveraging metrics like click-through rates (CTRs), open rates, conversion rates, and bounce rates, you can identify areas for improvement.

For instance, if one of your most successful campaigns has high CTRs but low engagement rates, it may be worth re-examining the messaging or targeting to optimize results. Similarly, if a campaign consistently fails to convert despite having high open rates and clicks, it's likely due to poor timing or messaging.

Practical Implementation: Getting Started

To get started with this analysis, begin by identifying your top-performing campaigns and examining what worked well. Use Campaign as a secondary dimension (SLter) in your default Location report to identify which messages resonated with specific audiences. By leveraging Google Analytics data and analyzing past campaign performance, you can develop targeted messaging strategies that drive revenue-generating results.

By following these steps and leveraging the insights gained from this analysis, you can elevate email marketing into a more stable form of marketing for your business.