Part 2: Hypothesis on Message Market Fit for Outbound Email
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- Опубліковано 15 лис 2024
- Growth Engine X is an outbound agency that sends 1,540,000 emails per month on behalf of their clients. We specialize in data segmentation, AI messaging, and creative campaigns. If you'd like to work with us, fill out the form here.
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Eric, love the screenshot view from actual data. It's genius.
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.
Loved the video.
Where can we access this doc?
OpenAI built in Tier levels so that Eric can level up.
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
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?
Thanks eric, incredible value.
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
@@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
Where would you place cold email / B2B lead gen on the scale between demand capture / demand generation?
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 ?
@@tobyw7369 yes per angle
Where is Part 1? 🕺