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.
Many personalization companies are tempted to use attributable sales as a metric for measuring the value generated by personalization. While it is important to have a healthy level of attributable sales to ensure your shoppers are engaging sufficiently with personalization, aiming to maximize attributable sales will ultimately result in degraded performance, and even a loss in revenue. That’s because the attributable sales metric does not take into account the impact of the following 3 phenomena:
Given the personal nature of food and consumer goods preferences, the grocery sector is perfectly poised to introduce highly personalized experiences that stimulate better and more intelligent upsell, conversion and loyalty. Yet, digital grocery shopping presents many unique challenges for grocers that make it far more complex for grocers to transform the digital experience, than for their retail cousins. As a result of the nuanced challenges, digital grocers will never operate as ‘simply’ as most other ecommerce areas.
When Riachuelo sat down to create their first-ever eCommerce experience, the largest Brazilian fast-fashion retailer wanted to deliver a cutting-edge personalized experience that would dynamically prioritize shoppers individual preferences at scale. To deliver on this concept, Riachuelo sought a flexible solution that would dynamically combine internal expertise with the implicit contextual signals derived from the customer journey to make good on the promise of a unique and individualized shopping experience.
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.
Search is one of the most essential components of a personalized experience, which can drive up to 45% of e-commerce revenue. Yet despite its importance, site search has barely evolved in a decades time. With a focus on customer experience and personalized interactions many retailers and brands have taken steps to improve the experiences they offer at every touch point and many have come to recognize how challenged their current Search deployments are for both the consumer and the business user. Infact, most legacy Search technologies require heavy lifting from IT or dev teams and leave business users frustrated by a lack of flexibility and inability to make real time improvements.
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.