Part 2: Hypothesis on Message Market Fit for Outbound Email

[@Paranormal_Hub]

Hey Eric great video as always, I was wondering if you could make a video on using clay with spending credits as less as possible and get the work done.

[@aaronfrom7figureria]

Eric, love the screenshot view from actual data. It's genius.

[@joshburgin1797]

Loved the video.

[@TheDghound42]

Where can we access this doc?

[@sitaro8]

Thanks eric, incredible value.

[@danbymsclips]

Where would you place cold email / B2B lead gen on the scale between demand capture / demand generation?

[@andrefael]

Hey Eric, what are your thoughts on creating a sender similarity waterfall? so taking a few different similarity points and trying to map at least one to each prospect?

[@snackaounone2894]

Hi Eric following you for more then a year now can you share a link to this doc or anything like that it would be very helpful

[@represent_studio]

Where is Part 1? 🕺

[@ajcassataofficial]

sweet video! in your case, if you're getting 1 per 300 in your batch #1, do you not bother moving onto batch 2, and 3? or are you saying you test all of these anyway for every client regardless

[@ericnowoslawski]

@@ajcassataofficial we will use some to see if we can beat that ratio. We just start scaling the campaigns if it is working while we keep testing

[@tobyw7369]

When you say you test 1000 contacts on batch 1, do you mean 1000 contacts per messaging angle ? If you’ve come up with 10 different messaging angles than surely 1000 contacts isn’t enough to properly test that messaging ?

[@ericnowoslawski]

@@tobyw7369 yes per angle

[@juliusbranding]

OpenAI built in Tier levels so that Eric can level up.