Addressing security concerns helps protect email reputation.

'I think AI is gonna get really good at seeing this, you know, name plus 74663 at gmail.com, you know, is not realistic when all of these are being added at the same time, so. That's another kind of leading into the AI world... How affected are you by spam bots.'

Takeaway:

• AI can help detect and prevent spambot attacks.
• Protecting your email list improves deliverability.
• Implement AI tools to monitor suspicious sign-ups.

Recognizing the impact of deliverability can enhance campaign success.

'How much would it suck if you go straight into a junk box, right? Like, what you're really doing is trying to set up, like you said the branding is really important, getting good click through is really important, but also like your beamy, your Dmark, like all that stuff is super important so that like you don't spend two weeks on email and nobody sees it.'

Takeaway:

• Deliverability is crucial for email campaign success.
• Technical setups like DKIM and DMARC are essential.
• Ensure emails reach the inbox to maximize ROI on production time.

Understanding psychological factors can inform marketing strategies.

'So the, the endowment effect is kind of like how much time you put into something... And so I thought that was a really cool side of the flip of the coin where it's like, oh look at all these tools that are supposed to make it faster for us, but really if you enjoy it, you want to spend more time on it.'

Takeaway:

• The endowment effect leads to investing more time in emails you value.
• Enjoyment in work can increase time spent but also quality.
• Balance the desire for perfection with efficiency needs.

Identifying why certain roles take longer can help allocate resources.

'And one of the things that I noticed when I was doing the research... your tenure at your company or just how much experience you have, the production depends on your tenure... For example, if you're like a new analyst... they spend on average 16 days looking at emails. That's a lot.'

Takeaway:

• Less experienced analysts take longer on email production.
• Experience reduces production time in analyst roles.
• Invest in training to improve efficiency.

Understanding the impact of job satisfaction can improve team performance.

'So to me, this means that you're spending more time creating the email because you like it more and you feel like if you build more on top of it and you critique it and it's like your little baby that it's going to have a bigger impact, right? And so you're actually spending more time because you enjoy it.'

Takeaway:

• Passionate team members may spend more time on emails.
• Higher job satisfaction can lead to better-quality emails.
• Balance time investment with efficiency to meet deadlines.

Knowing industry-specific challenges can help set realistic timelines.

'And the other part of the industry stuff that wasn't at all surprising is that, you know, highly regulated industries, financial services, insurance, healthcare, all have higher levels or you know, longer production times.'

Takeaway:

• Regulated industries have longer email production times.
• Compliance requirements add to complexity and delays.
• Plan ahead to accommodate industry-specific processes.

Understanding team dynamics can help improve efficiency.

'So if you take a look at like a team of one or two... you take a look at, you know, teams of 10+ are spending almost 18 days on average to do that... So we got like a nice chart here, right? Solo professionals, just a few days, but like Mike said, like once you hit 4 or 5, it dang near doubles, right?'

Takeaway:

• Team size correlates with longer email production times.
• Larger teams may have more complex approval processes.
• Streamlining communication within teams can reduce delays.

Exploring AI's role in email creation can optimize efficiency.

'People or organizations that are using AI have a 37% reduction in their time to produce an email. So it goes from like 11 days on average for those that are not using AI to just under 7 days for those that are using AI. And the most common way that people are using AI is for copywriting.'

Takeaway:

• Using AI can significantly reduce email production time.
• AI tools are particularly effective for copywriting.
• Implementing AI can streamline email creation workflows.

Knowing how complexity impacts production time helps in simplifying processes.

'And that was actually the most significant factor affecting the production time, and there is a 3, almost 3.5 time difference between a simple email process that takes about 4 days to complete. And when you actually go to the very complex end of that, it blows that 8 days out of the water. It's almost 14 days. It's like 13.5 days on average if you have a very complex email process.'

Takeaway:

• Complex email processes significantly increase production time.
• Simplifying email workflows can save time.
• Assess the necessity of complex elements in campaigns.

Understanding why email production times are increasing can help marketers optimize their workflow.

'Last year we were at 7.7 business days, so you know, it wasn't huge. It's like, you know, 5.7 to 7.7, so it's like an extra day. You know, this year, as of, you know, us doing this because we haven't finished all the analysis yet, but we're at 8.21 business days. So we've added an extra half a day in a year to producing email content.'

Takeaway:

• Email production times are increasing despite new tools.
• Identify inefficiencies in email production processes.
• Streamline workflows to reduce production times.