Can you run an A/B test if you have a few hundred prospects in a campaign?
Ask any data scientist or savvy marketer, and they’ll tell you “no”. Why? You need lots of data to have confidence that you’re actually picking the real winner.
So what’s a cold emailer to do?
In this episode, we explore this question and leave you with a reliable process for testing low-volume email campaigns using qualitative feedback, inbound data and a few other testing hacks you can use, right now.
HERE’S WHAT WE COVER IN THIS EPISODE:
- Why we need testing
- In what cases testing results are super valuable to drive your business decisions
- How and when to do A/B testing
- How to increase deliverability with testing
- When to kill a variation
Now that you’ve heard our views on cold email testing, make sure you always keep a copy of every experiment you ran along with stats, so you can bring new team members up to speed on what worked and what didn’t.
Jeremy and Jack