Innovations in programmatic advertising have transformed online media buying, making the process more automated, targeted and measurable. Now programmatic is poised to revolutionize customer relationship marketing.
I wrote an article on this subject today at Adexchanger, titled “When Will The Programmatic Revolution Reach Customer Relationship Marketing?”
In my mind, programmatic relationship marketing consists of the following elements:
To read more about about the topic, head over to Adexchanger, or contact us at email@example.com
In today’s perpetually connected world, consumers are leaving behind richer and richer cues about their wants and needs, and are increasingly expecting marketing to be highly personalized. Marketers have always realized the importance of personalization, but find it highly challenging to deliver a hyper-personalized experience across every digital touchpoint. In fact, a study by eConsultancy found that only 5% of marketers are personalizing extensively.
Previous attempts at solving this challenge have been extremely limited: these solutions don’t adapt to the unique nature of each business, don’t customize easily to different audiences, and are hard to integrate with cross-channel campaign execution.
We are changing that today with the launch of Blueshift’s Personalization Studio. Built using patent-pending technology, Personalization Studio now enables marketers to directly configure and deliver various forms of Hyper-Personalized Predictive Content, based on real-time streams of user interaction events. Read the full announcement here.
If you are ready to start on your hyper-personalization journey, give us a shout at firstname.lastname@example.org!
I shared my thoughts on PerformanceIN last week on why marketer-defined customer journeys are no longer adequate in the new world of perpetually connected customers.
“..with the rise of the perpetually connected customer, consumer brands are quickly finding that marketer-defined customer journeys are no longer adequate to describe the different ways that customers interact with content or search for products. In this increasingly complex environment, marketers must change the way they conceptualize a consumer’s path to purchase, and adopt a new paradigm — real-time context is king.”
Read more at PerformanceIN’s website.
I am delighted to announce that Pete Cowing has joined Blueshift as our VP of Sales. Pete brings a wealth of experience from the marketing technology domain, with previous sales leadership positions at Marketo & IBM. With his deep knowledge of the space, Pete has become a trusted advisor to marketers looking for next generation solutions that drive delightful customer experiences and strong RoI.
So why did Pete join Blueshift? In his own words, “Blueshift has set itself apart by focusing deeply on the needs of B2C marketers, and the personalized experience that today’s consumer demands. I’m excited to be joining a company that is setting the standard for personalization and automation in marketing.”
Read more here.
We are excited to share that Blueshift has won awards in 3 categories at the 2016 Stevie Awards. We have long been believed that the next generation of marketing will be powered by big data and machine learning. That’s why we are especially honored to receive the Stevie Awards in new product categories for both marketing as well as big data:
Read more here.
I am excited to share with you that LUMA Capital Partners recently co-led our Series A financing round and that LUMA’s Carey Lai has joined our Board as an observer.
The LUMA team is led by some of the world’s smartest and most experienced mar-tech investors and advisors. We could not be more pleased by this alignment because it is validation of our category and market position. Carey brings incomparable experience helping scale companies like Sprinklr and Gigya.
LUMA’s team believe, as we do, that Cross Channel 1:1 Mass Personalization is one of the most important themes for mar-tech in 2016. Marketers know that mass personalization can drive substantial revenue through higher conversions, as well as deliver a delightful consumer experience. However, in order to reach this promised land, marketers need to be able to harness large amounts of real-time and historical data to understand the user’s full context in real-time, select the right content for that context, and deliver the personalized marketing message across different channels. The challenge is especially hard at scale for consumer (B2C or e-commerce) marketers who have a large library of content/merchandise, as well as millions of highly engaged web and mobile visitors.
Traditionally, marketing organizations have not directly been able to tap into the power of big data and machine learning to automate hyper-personalized marketing. As a result, most forms of automated marketing today feel too robotic with a generic message, and don’t communicate a personalized story.
Blueshift’s approach finally changes that. Blueshift enables marketers to create dynamically updating segments of customers based on behavioral & predictive factors, and with a few clicks, select various forms of personalized content ranging from collaborative filtering & retargeting to user affinity based content. Without any involvement from IT, marketers can now create sophisticated campaigns on channels like email, mobile push notifications, SMS, Facebook, display retargeting, and more. At the same time, the platform comes with powerful APIs that can be leveraged by large enterprises to enhance existing marketing technology systems. We are excited to be already executing on this vision at scale.
Look out for more exciting news ahead. If you’re as excited about personalized marketing as we are, and are looking to join a small, accomplished group building the future of this fast growing space, Blueshift is hiring! Head on over to https://getblueshift.com/jobs/
We are excited to announce that Blueshift is now available in the Tealium Tag Marketplace. Tealium is just one of the many ways of streaming real-time events to Blueshift.
Brand-loyalty & stickiness of customers have long been a problem for e-commerce, especially with price comparison on the web. However, in the new age of mobile commerce, early data is suggesting that apps might just be the cure that the doctor ordered.
Measures of brand loyalty and stickiness could include retention rates and repeat usage frequency. According to data from Adobe, apps are significantly better than websites in terms of time spent per session and user frequency per month. The data also shows that the retail category compares well with other categories in terms of repeat engagement. Also, app engagement data from Flurry shows that retail apps have a healthy 30% retention.
The reasons for higher stickiness aren’t hard to understand:
The era of mobile commerce will be dominated by high loyalty in repeat visits and repeat engagement. How can your brand win in this new world?