Defeat the four most common email mistakes with ‘Helpful Marketing’

“Helpful Marketing is like the helpful salesperson. Instead of basing the customer relationship on transactions alone, it frames every email you send as a customer-service-oriented message, even when the goal is to sell.” 30-second summary: Staying up to date with email means more than just adopting the latest technology. Teams need to prioritize an objective-driven… keep reading →

How to create an effective apology email - icecream spilt on a bench

How to create an effective apology email

Need to send an “Oops!” email? It’s crucial to follow up your error with the right message. Learn from these examples. Breathes there the email marketer who never had to send an “Oops!” email? So you say your marketing team never had to send an “Oops!” email? Don’t be too smug. Maybe your turn just… keep reading →

bad data can spoil good personalization - abstract purple image

How bad data can spoil good personalization

Don’t let bad data poison your email relationship with your clients. Learn how to avoid personalization failures in your email program. In the space of three days recently, I received three individual emails that showed me brands are beginning to take the concept of “helpful marketing” seriously. That’s good news because I believe helpful marketing… keep reading →

How to create an effective apology email: 7 examples

Need to send an “Oops!” email? It’s crucial to follow up your error with the right message. Learn from these examples. Breathes there the email marketer who never had to send an “Oops!” email? So you say your marketing team never had to send an “Oops!” email? Don’t be too smug. Maybe your turn just… keep reading →

How to Achieve Increased Conversions with Email A/B Testing

 How to start an email A/B testing campaign? Start email A/B testing by creating a hypothesis that sets the foundation for a successful testing strategy. If your hypothesis is incorrect, the statistical significance of the test result will be impacted. One reason A/B testing suffers is that many marketers are hesitant while developing hypotheses.… keep reading →