Here we go with Day 2.
1) Good advice fom @weisesarah about creating personas. Give them a name and a picture. Ask what's in their purse. Make it specific.
2) The question I heard from a candidate about what makes you more money, improving your mobile app buying experience or hiring a social team still makes me cry a little. So I posted it as a question.
3) Email isn't dead. Everyone who makes money admits they use email, and @mparkerbyrd says that it's still 3400% ROI for email. But everyone hates it. And it's also true that kids don't read their email. What does that mean for the future?
4) I'm not comfortable with training your customers that you'll always respond. These teams aren't prepped, and all they want is to get you off line.
5) Talking about marketing automation - he uses the word Omnichannel. I can't wait until that word is destroyed. We should mock it. - Although Hassan Bawab of Magic Logix has a good definition - "fancy way of saying your sales staff is providing the customer with an ideal [buying] experience."
6) I like the slide, "I've known you were going to purchase this for six months." "You're weirding me out - can I just pay and leave." Marketing Automation session from Hassan.
7) I just asked the conference organizer to play Shia Live. Actually played it for him on my phone. Not sure if they're taking requests for bumper music. They're playing Billy Joel right now.
8) Mel Carson tells a great story about hiring a monk from Google Ads. It was 10 years ago. He has a testimonial.
9) Mel also talks about breaking PR into different tiers. I remember doing this for blogging in 2006. The difference now is that much of the "national press" we used to pitch has been replaced with "national blogs." This is the advantage of experience.
10) In the Marketing Technology panel, listening to @ipullrank - it's funny, because no one here bats an eye at that data privacy intrusion we take for granted, but I can't help but think a lot of people would freak if they knew how easy it was for just about anyone to know almost everything about someone that is in a database. Address, phone, email, IP address, number of people in the home, ages, credit card purchase data. It really is a scary world, but it's been around since the early days of the ETL Data Warehouses.