Last time, we kicked things off by diving into how to automate your email campaigns with a bit of AI magic, starting with the creation of an Ideal Customer Profile (ICP).

It’s all about getting to know who you’re talking to, so your emails don’t end up in the digital void. Now, we’re shifting gears to focus on what comes next: making your messages as engaging and informative as possible. It’s not just about sending emails; it’s about sending the right emails.

We’re going to talk about using solid data and a bit of educational flair to make sure your messages stand out. This isn’t your typical marketing spiel.

So, let’s get into how you can use what you know about your customers to make emails that actually get read.

Professionally, I am a staunch advocate of education-based marketing. In a B2B marketing funnel, targeting educated, data-driven decision-makers is crucial, providing a safeguard against emails that come off as ‘sales’ or ‘artificial.’

We’ve all received such emails, and the disappointment after dedicating our brief attention to them is familiar.
(Consumers allocate, on average, 9 seconds to reading brand emails. (Statista, 2022))

The key is to step into your target’s shoes comprehensively. The better you understand them, the more effectively you can tailor a marketing message that resonates deeply.

Your goal should be to uncover every way your product addresses their needs. Then, illuminate these solutions with data that highlights both the pain of the problem and the benefits of your solution.

Leading with data and prioritizing education have, in my experience, been winning email strategies. Importantly, this approach also lays the foundation for training the AI we’ll be utilizing.

This step is pivotal for generating reliable, high-quality email conversations, ensuring your marketing doesn’t undermine your brand’s credibility.

The secret to crafting an excellent AI email writer mirrors the process of training a human one: patience and thorough guidance, which we’ll delve into in our next article.

Thus, embark on a data-gathering mission. As someone who values accuracy, I ensure all my data comes from credible sources.

I find industry-specific organizations, competitor content with cited data, and leading CRMs or SaaS platforms (such as HubSpot and Gartner) particularly useful.

Aim to collect concise, hard data facts. Here are examples showcasing the importance of hyper-personalization in emails:

  • The most effective strategies for email marketing campaigns include subscriber segmentation (78%), message personalization (72%), and email automation (71%). (HubSpot Blog Research, 2021)
  • Dynamic content personalization tops the list of email personalization tactics, significantly boosting email performance. (Litmus, 2023)
  • Effective email subject lines spark curiosity, offer promotions, and personalize to each recipient’s interests. (HubSpot Blog Research, 2021)
  • A 60% increase in email personalization based on past purchases by retail and e-commerce sectors from 2019 to 2020. (Litmus, 2020)
  • 80% of marketers personalize emails with profile data, and 64% by segment. (Constant Contact, 2023)
  • 21% of sales professionals find AI most useful for drafting messages to prospects, while 32% use it to adapt messages for different audiences. (HubSpot’s State of Generative AI, 2023)
  • 5% of marketers rate generative AI for email creation as ‘effective,’ with 54% finding it ‘very effective.’ (HubSpot’s State of Generative AI, 2023)

Begin by amassing a broad spectrum of data. If employing an Account-based Marketing strategy targeting multiple roles, tailor your data search to address specific concerns relevant to each role (e.g., cost savings for CFOs, improved metrics for Marketing, better conversion rates for Sales).

After collecting extensive data, sift through to identify impactful insights.

Try to condense it down into a collection of data points that you can align with a cohesive marketing strategy and could potentially be amplified through PPC ads.

Aim to craft a narrative around your data by chaining data points together so that it approaches something akin to a story of the introduction of a problem and a satisfying conclusion solution they can act upon.

There is scientific proof for this – cognitive psychologist Jerome Brunner suggests that humans are 22 times more likely to store facts when they are incorporated into a story. (https://en.wikipedia.org/wiki/Jerome_Bruner)

Conclusion

As we wrap up this segment on the importance of education-based marketing and the significance of data in shaping our strategies, we look forward to the next chapter in our journey.

In our upcoming article, we’ll dive into the art and science of prompt engineering.

This crucial step ensures our AI-driven campaigns are not only effective but resonate on a personal level, leveraging the data we’ve meticulously gathered.

Furthermore, we’re excited to introduce our new email generating service, designed to automate and personalize your B2B outreach.

With our advanced AI, we’ve observed a 30% increase in B2B metrics through hyper-personalized emails. This tool is not just a time-saver; it’s a game-changer in how you connect with prospects.

We’re currently offering this service at a reduced price for a limited time to gather feedback and refine our offering.

If you’re interested in elevating your email marketing strategy and achieving unparalleled engagement, fill out this form to start a conversation. https://calendly.com/growthautomations/book-a-consult