So, I've seen some people say how they started off mailing then proceeded to fuck up their data by just blasting offers to a big list repeatedly over and over each day. Is there anyway to optimize this to make mailing for efficient? I thought about splitting the data into 5 separate lists and mailing to only 1 list a day, with different lists each day. Let me know what you guys have to say Anthony :thrasher:
what ever list you have is also being mailed by 10 other mailers. Keep that mind. Kind of like only banging a hooker on payroll once every few days so you dont wear her out when she is also being hired by 10 other guys who bang her twice daily. or so i am told....
Well I guess what I really mean is, is there anyway to split up your data int o different segments to increase conversion rates. Good analogy though haha.
Best way to segment data: opens, clicks, delivers I mail clicks first on new IPs, then opens, then delivers as the IPs get more beat up. Then mail the crap out of everything. May help to segregate by category: diet, bizop, financial, etc. That way if you have success with diet for example, you know which list is going to respond best.
So I have a list of Data, should i split it off the bat into smaller lists or should I mail first then split?
It really isn't going to make a difference if you have one big batch of pretty much the same data. No need to split it up unless your MTA can't handle it. You should start mailing and as I said before, pull out your clicks, opens and delivers. If you are mailing TLDs there may be some purpose in mailing smaller lists, but if you are running GI, I can't see any reason to split a list unless you know that there are segments of data in that list that are vastly different. Make sure when you get new IPs you don't burn them up with all the bounces (non-deliverable emails). Your list will narrow down as keep going. So trash all the bounces before you hit the list again with new IPs. If your MTA lets you track categories, then it can be smart to use those categories in the future.