Is investing in digital advertising a miscalculation? Ask Facebook

dt-headerFrost & Sullivan’s Digital Transformation Blog has published Jeff’s blog post titled Is Investing in Digital Advertising a Miscalculation? Ask Facebook. The post analyzes Facebook’s two-year misadventure overreporting to advertisers how successful their video ads are at keeping Facebook users interested and engaged. The post, which appears here, explores how Facebook did so, the implications on digital advertising–and how, based on its actions leading up to this revelation, “This is not the Facebook we have come to know.”

It’s a bot time for a new conversation on customer engagement: A.I.-fueled analysis and social marketing

Next IT Twitter campaign! JC's mP+

Next IT, which delivers optimal business outcomes through A.I.-powered customer engagement and workforce support, is executing a social marketing campaign on Twitter based on Jeff’s latest Stratecast SPIE* report Conversational A.I.: It’s A Bot Time for a New Conversation on Customer Engagement. The report, which is focused on the growing presence of chatbots, asserts that individual company ROI figures such as 5X and 8X, substantial revenue growth, and projected cost savings of $32 million–all figures cited by Next IT customers and presented in the report–“are powerful reasons for every organization that has not already done so to take a hard look at implementing a conversational A.I. solution from a provider such as Next IT.”

The report is taking center stage on social venues including Next IT’s Twitter site, where it is not only the linked-to subject of an array of Next IT newsfeed tweets but is also featured at time of publication in the pinned tweet:

Next IT Twitter campaign! 2 Pinned Post

All tweetlinks take viewers to this landing page where they can download the report:

Next IT Twitter campaign! 4 SPIE landing pg

Readers can get a taste of the dialogue, ongoing at time of publication, in the tweet search recap graphic below: Continue reading “It’s a bot time for a new conversation on customer engagement: A.I.-fueled analysis and social marketing”

Data disconnects are blowing a $1.75 trillion hole in the global retail market–but unified order management can close the gap


Retailers are in search of answers about who their customers are; how much traffic their stores and sites are getting; what customers are doing in-store and on-site; and how stores, sites, and employees are performing. They seek answers to those questions—and a way to plug the $1.75 trillion hole that overstocks, out-of-stocks, and returns are blowing in the retail market.

Jeff Cotrupe’s Stratecast report, A $22 Trillion Economy Depends on It: How Big Data Powers the Retail Enterprise, analyzes these issues and presents a solution: unified order management that integrates omnichannel inventory and fulfillment on a single unified platform. Managing the retail enterprise with a platform that unifies data from all sources, and integrates it with systems such as mobile marketing, site and social analytics, and CRM can help retailers recapture lost revenue opportunities.

The report, designed to speak to the needs of the roles and teams across the retail enterprise, asserted that the global retail economy, including both brick-and-mortar and online revenue, now accounts for approximately $22 trillion; and that Big Data solutions for retail constitute a $7.30 billion market. Approximately 40 Big Data and analytics providers now compete in this space.

Jeff Cotrupe, Stratecast, and IBM show how combining diverse datasets can help CSPs survive in an over-the-top (OTT) era

IBM GC_CX by 2020“Broadband everywhere” could leave communications service providers (CSPs), such as mobile carriers, nowhere. Now that most users are broadband-connected, providers such as Google, Netflix, Facebook, and more can provide over-the-top (OTT) services–video, voice and video calls, and text messaging over the Internet, often for free–that consumers used to pay CSPs to provide. The good news for CSPs is that by delivering great customer experiences, they can still win. The bad news: CSPs cannot capitalize because, as a group, they are delivering poor customer experiences. Through a series of communications, Jeff Cotrupe, Stratecast, and IBM show how by combining data from customer satisfaction surveys and social media with data about subscriber experiences with specific services, CSPs can retain subscribers–and create and sell more of the services those subscribers truly want.

The theme of the campaign is How User Behavior Data Can Help CSPs Prosper in an OTT Era. Communications include a webcast; a white paper; a blog post; and an infographic, a small portion of which is shown here.

Jeff’s Stratecast report analyzes how Facebook is helping brands ensure the visibility of digital ads

FB super chrome!Jeff Cotrupe’s Stratecast report, Advertisers Are Getting the Wrong Impressions; Facebook and the MRC Offer New Points of View, asserts that the fundamental action users take on Facebook every day—reviewing their Facebook News Feed extremely quickly, and customizing what they want to see in that News Feed on the fly—is about to revolutionize the digital advertising industry.

The report is available on Stratecast’s Big Data & Analytics portal here.

Jeff Cotrupe and Mark Friedman of Genesys show how Big Data drives mobile engagement and better customer experiences

Genesys 2014Jeff Cotrupe joined Mark Friendman of Stratecast client Genesys on a webcast where they shared insights on how Big Data helps brands engage with consumers on the go and offer a better customer experience. The webcast is available for on demand viewing here.

B/OSS features Jeff’s white paper for Stratecast client Comarch on how Big Data drives customer loyalty programs

B-OSS Customer Loyalty

Telecommunications industry publication Billing & OSS World recently featured Jeff Cotrupe’s research for Stratecast client Comarch in an article titled Mobile Operators Need Big Data-Driven Customer Loyalty Programs. “When operators take a look back, they realize they are sitting on a gold mine of customer data,” said Cotrupe. “Processing and analyzing this Big (customer) Data…enables operators to create customer loyalty programs that maximize revenue retention and drive new revenues.”

The article appears here.