What are the best ways to quantitatively test your messaging?

Quantitatively test your messaging through experimentation: 

• A/B test different types of messages on your website 

• A/B test different types of messages through paid social & organic social

• A/B test different types of messages through SEM — I find this to be the easiest channel to experiment with given all you have to do is change copy. 

• A/B test different types of messages through email 

• A/B test different types of messages through in-product experiments — for example, our product is offered through a self-serve platform where we can set up in-product onboarding modals, notifications, and tooltips. 

Measure things like CTR, open rate, CVR, average budget size, and revenue. While engagement metrics like open rate and CTR are instructive, I wouldn't put too much stock in them, given people can be clicky but ultimately not convert or not convert at higher spends. Definitely take the time to confirm that the messaging that is driving the most initial engagement is also driving the most adoption and revenue. 

Quantitative testing is probably best done as an A/B test. Some ideas:

• Email subject lines: Weave your messaging into subject lines and compare open rates

• CTAs: Use messaging for CTAs on web or email compare CTRs (click-through rates)

• Webpage copy: Try A/B testing webpage headlines and see which drives higher click-through rates and lower bounce rates

• Display ad copy: Test different messages on display ads and test CTRs

• Social copy: Same as above, but for organic or paid social

Basically, anything you can A/B test and put two different messages in market will help you get some quantitative metrics behind your message.