In the first blog post of this series, we discussed how AI promises to finally deliver true personalization – individualized experiences created dynamically and at scale. In this post, we will discuss how marketers can apply AI to every stage of the customer lifecycle – and share stories of brands who have done it successfully.
We’ve spent a lot of time this year talking about powering personalization for the new Experience Economy, and the need for companies to rethink their core value in a world where companies compete on the memorable customer experiences they provide, not the products they sell. Now, we can add a new number to the conversation: $800 billion.
Google’s Kiran Mani dropped this stat during her recent Shop.org session on How Machine Learning Can Help You Deliver Better Customer Experiences:
Matching what we are hearing from the market, B2B executives from across multiple B2B verticals see digital as a primary driver of their growth strategy and expect the majority of their products to be sold online in the next five years, according to a study of business leaders in the United States and Europe. Digital commerce will become the dominant channel in that time period, moving beyond “secondary” status, according to a new report titled Why Digital Will Become the Primary Channel for B2B Engagement.
They’re Coming for You Next: Amazon Hits $10 Billion in B2B Sales
In another amazing growth story from the giant in the Northwest, Amazon has gone from $1 billion to $10 billion in online B2B sales in less than 3 years. If Amazon didn’t get onto the radar of B2B players with their announcement of Amazon Prime for Business, then they should have gotten their attention with their latest announcement: Amazon Business tops $10 billion annual revenue run rate.
Part 3 of 3
Why Man and Machine Make Digital Marketing Better
In the last blog, we’ve established all the problems machines can solve by themselves, what does that leave for the human marketer?
As it turns out, plenty.
Part 2 of 3
How AI Can Help Solve Three of the Biggest Problems Facing Digital Marketers
In the last blog, we discussed the buzz coming out of martech about AI and took a little trip down memory lane to revisit early interaction optimization tech like heat maps and A/B tests and some of the thrills the related experimentation gave us. What we realized in the process is that we’re still chasing the same problems. It’s just that now we have something better, AI and ML, to help us solve them.
Part 1 of 3
Why Experimentation Is the Past and the Future of Marketing
I’m always amused by the hype that surrounds the introduction of any new technology. Regardless of what it is or does, inevitably, someone will claim that it will invalidate everything that came before it. Or even better yet, that it will eliminate the need for human intervention altogether.
In the last 15 years, 52% of the Fortune 500 have disappeared. Amazon continues to rapidly disrupt retail, and one-third of the Retail 100 have churned out in the last decade.