306 – that’s the average number of cold emails you need to send to generate one B2B lead.
You might think that’s a lot of effort. It is, indeed, but is it worth it? Yes. 77% of B2B buyers prefer email communication – this is more than double of any other channel.
Email is also a preferred and effective channel for outreach, according to 43% of salespeople.
Even if email may appear like a cumbersome outreach channel, it has repeatedly proven to be the most effective, primarily due to its simplistic and less intrusive approach.
Email is not on your prospects’ faces compared to other outreach channels.
You can reach out to prospects without necessarily being a menace to them. This should be the foundation of every cold email you send: to be persuasive yet know when to stop. Indeed, data can assist you in doing that.
KPIs (Key performance indicators) that are based on data can help you figure out how well your cold email campaign is doing. Based on your cold email numbers, you can make any changes to your plan that are needed.
Let us learn more about KPIs that are based on data and how they can help you make your cold emails work better.
Using data to guide your email strategies can help your cold email efforts be more powerful, efficient, and effective.
For those who are asking what “cold email” means, it’s just an email you send to a possible customer who has never heard of your business before.
Cold emails can help you connect with your audience meaningfully while driving higher engagement and conversion rates.
But the question is, what data should be tracked in cold emails, and what are the relevant KPIs for B2B cold emails?
Let’s cover each of these below.
The open rate is among the most basic statistics you might monitor in cold emails.
Tracking the proportion of receivers who open an email against the overall email count, the open rate KPI shows You may figure it by multiplying by 100 after dividing the total number of unique openings by the number of emails effectively sent.
Based on several industry research, an excellent open rate for cold emails is anywhere above 60%.
However, you don’t need to worry about calculating it manually, as your cold email marketing tool should do the job for you.
Open Rate=(Number of unique opens/number of emails delivered) x 100
So, what’s the importance of open rates in cold emails?
There are a few factors that influence email open rates:
Working on the above factors can help you increase your cold email open rates.
Though the open rate is mainly taken as a vanity metric, as a beginner cold email marketer, it can tell you a lot about your strategy and approach.
CTR measures the percentage of email recipients who clicked on one or more links within the email.
To calculate it, you just need to divide the number of unique clicks by the number of emails delivered and multiply the number by 100.
Formula:
CTR = {Number of Unique Clicks/Number of Emails Delivered) x 100
CTR is crucial for understanding how well your email content relates with your audience. A high CTR indicates that recipients found your email interesting enough to click through to learn more.
A QuickMail study has shown that the average click-through rate for cold emails is 3.67%.
It helps you measure the effectiveness of your email content and design. By analyzing CTR, you can determine which elements drive engagement and which need improvement.
There are a few factors that impact CTR:
Response rate measures the percentage of email recipients who reply to an email out of the total number of emails delivered.
To calculate it, divide the number of replies by the number of emails delivered and multiply it by 100.
Formula:
Response Rate = {Number of Replies/Number of Emails Delivered) x 100
The response rate directly measures how engaging and compelling your email content is. A high response rate indicates that recipients are interested enough to interact with you.
According to a study by Belkins.io, cold B2B email campaigns aimed at 240–499 recipients can achieve an average reply rate of 10%.
Higher response rates can lead to more leads and conversions. When recipients respond to your email, they express interest, which can be nurtured into a sales opportunity.
Here are a few factors that impact your response rate:
It measures the percentage of email recipients who complete a desired action, such as purchasing, signing up for a webinar, or downloading a resource after clicking through an email.
It is calculated by dividing the number of conversions by the number of clicks and multiplying by 100.
Formula:
Conversion Rate = (Number of Conversions/Number of Clicks) x 100
The conversion rate indicates the ROI of your email marketing efforts. Higher conversion rates mean better ROI.
It directly impacts sales and revenue. Successful conversions lead to increased business growth and profitability.
According to GMass, the widely accepted average across all cold emails is approximately 1% to 5%.
It measures the effectiveness of your email campaigns in driving desired actions, helping you understand what resonates with your audience and what doesn’t.
Factors that impact conversion rate:
Bounce rate KPI measures the percentage of emails not successfully delivered to recipients’ inboxes. There are two types of bounces:
Formula:
Bounce Rate = {Number of Bounced Emails/Number of Emails Sent) x 100
High bounce rates can affect your email deliverability. Email service providers (ESPs) may flag your emails as spam or lower your sender reputation.
Emails that don’t reach the intended recipients can’t generate opens, clicks, or conversions, reducing the overall effectiveness of your campaign.
Consistently high bounce rates can harm your sender’s reputation, making it harder for your emails to reach inboxes in the future.
Factors that affect your bounce rate:
A/B testing enables you to compare two versions of an email to determine which one performs better.
This can involve testing different subject lines, call-to-action buttons, images, or content layouts.
The importance of A/B testing lies in its ability to provide concrete data on what works best for your audience, enabling you to optimize your emails for higher engagement and conversions.
To conduct a practical A/B test, decide which element you want to test.
Create two versions of your email with only this one element differing between them.
Send these versions to a small, random sample of your email list and measure the results based on your chosen KPI, such as open or click-through rates.
Analyze the results to determine which version performed better, and then roll out the winning version to the rest of your list.
Repeat this process regularly to improve your email campaigns continuously.
Incorporating data-driven strategies into your B2B cold email campaigns is not just a trend but a necessity in today’s competitive market.
By focusing on personalization, A/B testing, segmentation, and automation, you can significantly enhance the effectiveness of your email marketing efforts.
These strategies allow you to create more relevant and engaging content, optimize your approach based on real insights, and maintain consistent communication with your audience.
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