That helps to explain the US$26.2 billion price tag
Microsoft surprised everyone Monday when it announced plans to acquire LinkedIn for more than US$26 billion. But it wasn't the only suitor: Salesforce wanted in, too.
The San Francisco-based software-as-a-service vendor was interested in LinkedIn primarily for its recruiting business, Salesforce CEO Marc Benioff told Recode on Thursday. The company gave LinkedIn a "solid look" but was unable to match Microsoft's huge offer.
Salesforce's interest makes sense: information from the business-focused social network could have proved useful to people working with Salesforce products. Microsoft has similar ambitions for LinkedIn, which it sees as a potential boon to its Dynamics CRM and Office offerings in particular.
According to Recode, Salesforce approached LinkedIn when the company was already deep into negotiations with Microsoft. Salesforce's bid was reportedly a combined cash and stock offer, while Microsoft's final bid was all cash, and allows LinkedIn to continue operating independently.
It's an interesting bit of backstory, especially given that Microsoft last year reportedly tried to buy Salesforce.
Salesforce itself is no stranger to big acquisitions; two weeks ago it said it would buy e-commerce cloud service provider Demandware for $2.8 billion. "It's the season of M&A," Benioff told Recode.
Microsoft, meanwhile, isn't slowing down its acquisition pace either. On Thursday it said it had acquired chat app maker Wand for an undisclosed sum.
Ginni Rometty, the CEO of IBM, announced the death of customer segmentation five years ago saying, "The shift is to go from the segment to the individual. She might have been a bit premature for most marketers, but if customer segmentation isn't dead yet, it's definitely on life support.
Andrew Ehrenberg was a giant in the field of marketing science. He believed scientific methods could reveal law-like patterns of how people buy. In this post, I summarise one of Ehrenberg’s most important discoveries and its implications on how people buy brands.
The purpose of Artificial Intelligence (AI) has always been to replace the menial and repetitive tasks we do each day in every sector, so that we can concentrate on doing what we do best. Saving time and money has certainly been a decent outcome as AI infiltrates the business landscape, however, now we are starting to see problems that cause major issues in practice.
In this bonus last episode of this new podcast series, BrandHook MD, Pip Stocks, talks with former ANZ group general manager of marketing, Louise Eyres, talks about the importance of thinking like a customer and using intuition to solve customer painpoints.
This is so cool & Innovative . A Milestone will be created by this.
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