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Samba TV and Twitter to Measure Tune-in for TV Programmers

New Capability Provides Attribution to Marketers using Twitter to Drive Tune-in

Samba TV, the emerging leader in global TV analytics, announced a partnership with Twitter to measure the effectiveness of Twitter in driving tune-in. Through this measurement program, marketers can gain insights into bridging Twitter engagement to tune-ins across primetime broadcast and cable programming, OTT streaming originals, and tentpoles such as the NBA, NFL, and NHL sporting events.

During a closed beta period of this innovative measurement partnership, Samba measured over 30 Twitter campaigns across 15 different programmers, unveiling granular insights into the lift in tune-in conversion as a result of exposure to Twitter ads. When looking at campaign exposures on Twitter, Samba found an average lift of 28% in Verified Tune-in Rate (VTR) to the measured premiere episodes.

“We all know Twitter is the ultimate TV companion, and now we can specifically measure that impact to help broadcasters and advertisers understand how effectively Twitter’s engaged audiences are driving tune-in,” said Ashwin Navin, CEO and co-founder of Samba TV. “We look forward to building on our collaboration to provide greater performance transparency and help tune-in clients achieve their goals.”

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Samba TV’s methodology links cross-screen ad exposure to a vast, representative dataset, sourced from more than 20M households worldwide to help programmers measure and optimize tune-in campaign performance. Samba TV measurement on Twitter helps broadcasters answer key questions such as:

  • What elements of the Twitter campaign, such as video length, targeting tactics, and Tweet copy, are most successful in driving audiences to tune-in?
  • How can advertisers optimize campaigns to improve effectiveness?

“Twitter is home to the world’s most valuable audience when they’re most receptive, and that includes when they’re watching TV,” said Tim Perzyk, VP of Market Insights and Analytics at Twitter. “As advertisers look to enrich their marketing strategies with complementary TV and digital media buys, Samba has emerged as a key partner in helping us evaluate and improve our partner performance.”

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“Twitter helps us reach passionate fans, and our work with Samba has shown that fans exposed to our messaging on Twitter are more likely to tune in,” said Inna Kern, Senior Director of Media Strategy at ESPN. “We always seek to maximize every dollar of our media investment, and Samba helps us measure and ensure that value, while driving viewers to our platforms.”

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“Twitter has been a critical platform for the success of Claws as we set out to provide a compelling live viewing experience for the fan,” said Michael Engleman, Turner Entertainment CMO. “We strategically cultivated a three-way conversation between the audience, show, and talent. This approach helped us drive a live rating and fuel each night’s conversation helping us trend every week. Partnering with Samba, we were ultimately able to measure conversion from Tweet to tune-in, optimize our investment strategy, and actually grow the linear audience from season 1 to 2 which is a very rare feat.”

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Tru Optik Announces Agreement with Oracle Data Cloud to Make Oracle Audience Data Available to OTT/CTV Advertisers

Tru Optik, a leading audience intelligence and data-management platform (DMP) across over-the-top (OTT) and connected TV (CTV), announced an agreement with Oracle Data Cloud to make Oracle’s audience data available for OTT/CTV campaigns through Tru Optik’s OTT Data Marketplace. Tru Optik is the first DMP focused on the OTT/CTV market to integrate Oracle Data Cloud audiences.

The OTT Data Marketplace is synced to Tru Optik’s OTT Household Graph of more than 75 million homes, representing over 90 percent of U.S. viewers of ad-supported OTT content. Tru Optik clients – including demand-side platforms, supply-side platforms and publishers – will have access to Oracle’s data for audience building across their CTV and OTT inventory.

“It is humbling to be the first connected TV-focused data management platform to build an integrated audience solution with Oracle Data Cloud,” said Andre Swanston, CEO of Tru Optik. “This is a huge step forward for the entire TV industry. Oracle Data Cloud’s audience will give us the ability to leverage the best of digital advertising capabilities to make TV more valuable and performance-driven.”

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At a time when legacy online advertising platforms are scrambling to adapt their technologies to CTV, many are taking shortcuts by targeting CTV households using individual-level data, collected from portable devices such as cell phones and laptops. This “apples & oranges” approach mischaracterizes households, leading to targeting inaccuracies. It can also result in the same user being associated with multiple households (because their portable devices are active away from home), further eroding targeting accuracy.

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Tru Optik’s “OTT first” approach is anchored in household-level signals – including CTV device signatures – that ensure high-fidelity targeting and measurement across all OTT screens. A notable feature of Tru Optik’s system is that it also works in reverse. Consumers can opt out, via OptOut.TV, from receiving interest-based or behaviorally-targeted OTT advertising from Tru Optik clients and partners across all OTT devices in a home.

“Oracle Data Cloud wants to allow our data to help advertisers reach the right consumers across every channel, platform, and device, so we’re delighted to work with Tru Optik to integrate our data across their OTT/CTV platform,” said Chris Langel, Vice President, Partnerships, for Oracle Data Cloud. “Forward thinking marketers can now use Oracle’s leading data assets to reach their current and potential customers across the platforms and publishers who use Tru Optik’s DMP.”

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New Study Confirms Consumer Trust in Email Drives Readership & Engagement

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Publisher Trust is the #1 Driver of Email Newsletter Readership; Publisher Trust Translates to Advertiser Trust to Drive Click-Thrus

At a time when fake news is on everyone’s mind, new data shows that consumers have come to trust email newsletters as reliable sources of information, and their trust in the publisher sending those emails extends to brands that advertise within them. The insight proves that not only is email alive and well, but it’s also a valuable engagement channel for both publishers and advertisers.

That’s according to a recent study, “How Adults Consume and Filter Information Online,” commissioned by PowerInbox and compiled by Mantis Research, which looks at how adults perceive digital content and advertising.

Among the nearly 60 percent of U.S. adults subscribing to some kind of email newsletter, trust in the publisher sending those newsletters is the #1 reason subscribers open and read them. In fact, nearly two-thirds say trust is more important than the content itself in enticing them to read newsletters that hit their inbox. By contrast, only a third of Americans trust social media.

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“User trust in social media platforms like Facebook is declining. For publishers, relying on that source of traffic is problematic since Facebook controls the traffic publishers receive,” said PowerInbox CEO Jeff Kupietzky. “Publishers are desperately seeking alternative channels to directly engage audiences, where they know their audiences will be guaranteed to see their content and the audience trusts the source. This data proves that email fits the bill perfectly for both guaranteed distribution and as a trusted channel.”

The survey also found that trust in the publisher translates to the brands who place advertisements with them, which drives engagement and click-thrus. Two-thirds of adults say they’ll click on an ad in an email if they trust the sender, while the same number will click on a website ad if it appears on a site they trust. Kupietzky says this means that, for advertisers, finding the right publishers to partner with is crucial in maximizing ROI.

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“Consumers recognize that the ‘free’ content they enjoy in emails and online does come at a cost, and they’ve proven willing to ‘pay for it’ by accepting ads,” he said. “However, our research shows that trust and relevancy are also extremely important to keep from alienating audiences. That’s why working with a monetization partner who can help make the right matches between advertisers and publishers is so important.”

In other good news for publishers, the study also found that when subscribers are no longer interested in receiving email newsletters, the vast majority (75 percent) will unsubscribe, rather than arbitrarily flag it as spam. This has a major impact on protecting the publisher’s reputation, which further points to consumers’ respect for and trust in the newsletter publisher’s brand.

The study, which surveyed 1,000 U.S. adults, gathered a wide range of insight on consumers’ attitudes toward advertising in email and other digital channels. To view more results, check out our infographic.

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PowerInbox’s automated email-based digital monetization platform matches advertisers with publishers to deliver real-time relevant sponsored content that’s personalized at the moment of open to newsletter and push notification subscribers and webpage visitors. The only digital monetization platform that offers direct integration with Google Ad Manager (GAM) and other mainstream online ad networks, PowerInbox lets publishers run cross-channel advertising programs that are easy to manage, all within a single dashboard while giving advertisers the ability to reach new high-value audiences through opt-in channels.

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People.ai Appoints Godfrey Sullivan to its Board of Directors

People.ai, creators of the only Revenue Intelligence System powered by AI, announced Godfrey Sullivan has joined its board of directors.

As the former CEO of Splunk, Inc., Sullivan led the company’s initial public offering (IPO). Splunk was considered the first significant big data company to enter the public market, and its IPO is considered one of the most successful in Silicon Valley history. Sullivan has sat on Splunk’s board of directors since 2008 and from 2011-2019 was chairman, and he was named to the board of directors for CrowdStrike in 2017.

“Godfrey brings more than three decades of leadership and a visionary approach with fastest-growing enterprise companies to our board,” said People.ai founder and chief executive officer, Oleg Rogynskyy at People.ai. “His wealth of experience with first-mover organizations in the cloud, big data, business intelligence and performance management software spaces is unparalleled and is incredibly relevant as People.ai moves forward as a leader in AI for sales, marketing and customer success.”

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Concurrent to part of his tenure at Splunk, Sullivan served on the board of directors at Citrix Systems from 2005 through 2018, board of directors at Informatica from 2008 through 2013 and served as the CEO of Hyperion Solutions Corporation from 2001 through 2007 when he led the company through its $3.3 billion acquisition by Oracle.

“I’m impressed with what People.ai has accomplished in its first three years,” said Godfrey Sullivan. “I joined Splunk at a similar stage and have first-hand experience with what’s ahead for People.ai. Oleg and his team are uniquely leveraging artificial intelligence technology to enable enterprises to grow revenue, as evidenced by their impressive customer base. With People.ai’s ability to automate the capture of all contact and customer activity data, dynamically update CRM and provide actionable intelligence across management tools will accelerate the value that customer-facing teams are delivering inside the enterprise.”

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People.ai’s other board members include Peter Levine from Andreessen Horowitz, Nukal Mandan from Lightspeed Ventures and Oleg Rogynskyy from People.ai.

SOURCE People.ai

Research from Appreciate’s Holiday UA campaigns: For Best Conversion in E-commerce, Use More Creative, Native ads and a long list of Publishers

With the growth of mobile commerce and direct-to-consumer brands, Appreciate analyzed their 2018 holiday e-commerce app user acquisition campaigns and found that more creative on more app publishers and categories generated the greatest engagement and conversion rates for Appreciate’s e-commerce app clients

Running more ads in-app across a broad range of app publishers in diverse interest categories was the secret to gaining profitable users in the 2018 holiday season, according to research from programmatic mobile bidding platform Appreciate.

According to data from Adobe, smartphones accounted for the majority of digital shopping traffic for the first time this holiday season with 51% of Ecommerce visits vs. 49% for desktop and tablets combined. Therefore, Appreciate decided to take a deeper dive to gain a better understanding of what worked (and what didn’t) in order to improve e-commerce app campaign performance in 2019:

E-commerce Campaigns with More Creative Convert Better

E-commerce campaigns with 7 – 11 different creatives generated 128.6% more installs than campaigns with 1 – 4 different creatives. “Historically, we’ve seen that e-commerce campaigns with more diverse types of creative performed better, but that trend was even stronger this holiday season. In other categories, most notably games, entertainment, and utilities, the number of different creatives plays a smaller factor,” said Shiri Lahat, VP Client Success North America for Appreciate.

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E-commerce Campaigns with More App Publishers in Different Categories Generate more Engagement

The old adage that women’s products perform best on women’s apps isn’t true when it comes to e-commerce applications. The campaigns with more than 500 publishers across 5-7 app categories generated 45% greater engagement than campaigns with 100 publishers in 1-4 app categories.

Native Generates the Most Conversions at the Lowest Cost

In-app native ads were the big winners for e-commerce apps, generating the most installs, and the greatest number of sales when compared to installs as well as the lowest cost per purchase. Video, surprisingly, generated the highest cost per purchase – 60% higher than in-app native ads – as well as the lowest number of installs. Mobile In-App banner ads were nearly as effective as native ads.

Days/Dayparts: The Weekend and Prime Time Best for E-commerce Apps

Prime time (8:00 – 11:00 pm) and early fringe / prime access (4:30 – 8:00 pm) are the best times to convert with e-commerce apps, as Appreciate research indicated. Internationally, there was some variance with certain countries peaking earlier in the day. That said, as it usually takes multiple impressions to convert a user, the best performing campaigns target users throughout the day.

For e-commerce apps, the weekends are the best performing days with Saturday being the best for app installs while Sunday is best for actual sales (reaching 127% of sales KPI).

For the purpose of this research, e-commerce apps refer to applications that offer products for sale via a retail channel and the data was compiled during Q4 2018.

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Though Adobe research indicated that smartphones accounted for 51% of e-commerce visits, they only accounted for 31% of revenue (vs. 60% for desktops and 9% for tablets). Some of the reasons for the gap, as cited by research from comScore, included security concerns and access to product details as well as navigation and usability uses. “With App usage and penetration growing, we’re expecting those numbers to flip as apps will also dominate e-commerce sales,” added Shiri Lahat, VP Client Success North America for Appreciate. “Furthermore, our programmatic mobile bidding technology is well-suited for e-commerce apps seeking a transparent, relevant and cost-effective way to reach, engage and sell to prospective e-commerce shoppers.”

Appreciate enables e-commerce and other app marketers to acquire new users and re-engage with existing ones through the company’s programmatic mobile bidding technology, which provides a wholly transparent offering with complete access to all bids, impressions as well as all campaign ads and data. The company’s Demand Side Platform (DSP) is designed to facilitate easy planning and targeting, and then optimizing campaigns either manually or via Appreciate’s fully automated technology.

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DocuSign Invests $15 Million in Seal Software to Accelerate Adoption of AI in Analyzing Agreements

Additional intelligence and deeper AI partnerships added to DocuSign Agreement Cloud offering

On the heels of launching the DocuSign Agreement Cloud—its suite of products and integrations for digitally transforming how organizations prepare, sign, act on, and manage agreements—DocuSign Inc. announced a $15 Million investment in artificial intelligence software leader Seal Software.

The news expands the partnership formed between DocuSign and Seal Software early last year, which saw Seal’s artificial intelligence-based agreement discovery, extraction, and analytics solutions offered as a pre-integrated extension to DocuSign eSignature.

This builds on the steps DocuSign has already taken to bring intelligence to its suite of products—including the acquisition of the IP rights of machine learning startup Appuri, another move centered on AI technology, in December 2017; and the acquisition of SpringCM, with document indexing and text search, in September 2018. It also reflects the increasing importance that AI technologies play in helping to automate and connect a company’s entire system of agreement—allowing business to be done faster with less risk, lower costs, and better experiences for customers, partners, and employees.

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“AI lets organizations analyze their agreements for hidden risks and opportunities in new ways,” said Ron Hirson, chief product officer at DocuSign. “As we have continued to invest in adding intelligence to our suite of products, this investment in Seal’s discovery and analytics is just another step in making our Agreement Cloud offering smarter.”

“We are thrilled by DocuSign’s confidence in Seal Software as a partner and now as a strategic investor, as we build the next generation of agreement discovery and analysis tools using artificial intelligence,” said Ulf Zetterberg, co-founder and CEO of Seal Software. “Working together, we will continue to unlock the full potential of all the agreements that are pervasive across every size and type of business.”

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Seal Software currently powers two DocuSign Agreement Cloud product extensions: DocuSign Total Search and DocuSign Intelligent Insights. Together, these enable DocuSign users to instantly and easily find agreements, regardless of their origin or storage location. Users can then compare sections of similar agreements to identify inconsistent contract terms, areas of exposure, and potential revenue leakage. They can also review auto-extracted terms and concepts to ensure compliance and minimize exposure to risk. These capabilities can help save companies millions of dollars while continuing to reduce corporate risk.

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SRAX Joins Big Tech Leaders and Interactive Advertising Bureau for Consumer Data Privacy and Compensation in 2019

California State Capital is First Stop in Making Changes that will Impact Ad Agencies, Brands and Consumers Across the Board

Social Reality, Inc., a digital marketing and consumer data management technology company, announces its involvement with the Interactive Advertising Bureau (IAB) and some of the biggest leaders in tech, including Hulu, NBC Universal, iHeartMedia, and more, to work with government officials as they consider state and national-level privacy legislation that will impact consumers, brands and ad agencies in 2020 and beyond.

In Sacramento, California, Senator Nancy Skinner, Assemblymember Miguel Santiago and others met with SRAX COO, Kristoffer Nelson, as well as big tech and media leaders, to discuss major changes that will influence change over The California Consumer Privacy Act of 2018 (CCPA), a bill passed in June 2018 to enhance privacy rights and consumer protections for residents of the U.S. state of California. The law, which will take effect on January 1, 2020, introduces new privacy rights for consumers and requires companies that conduct business in the State of California to implement structural changes to their privacy programs.

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“As leaders in the digital advertising industry who cater to both brands and consumers, it’s our obligatory duty to ensure all sides are represented when it comes to big decisions impacting the future of consumer data privacy,” said Kristoffer Nelson, COO of SRAX and co-founder of BIGtoken. “As legislators evaluate potential amendments to the CCPA, it’s important they understand how data is used in digital advertising, including the many procedural and technical safeguards that are standard in the industry and differentiate data used for digital advertising from more sensitive types of data collection and use. A deep understanding of the entire ecosystem will be necessary before decisions are made that will impact jobs across the country.” Nelson continued, “We at SRAX and BIGtoken are proponents of sensible legislation that protects consumers while allowing for commercial data use that powers the digital economy.”

Across the U.S., the ad-supported internet creates 10.4 million jobs and contributes $1.121 trillion to the economy, according a March 2017 study conducted for the IAB by Harvard Business School Professor John Deighton. Notably, 44 percent of the jobs directly created by the ad-supported internet are with small and mid-sized businesses.

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Advertisers and marketers have increasingly turned to Big Data and need a way to assure the information collected from target audiences accurately fits their business needs and the needs and rights of consumers. Moreover, most data is controlled by limited organizations, making it difficult for organizations to operate effectively, and limiting the value consumers can extract from products that give them transparency, control and compensation. Platforms such as SRAX’s BIGtoken, enables the secure and transparent transmission of data, protecting both users and advertisers, while distributing fair value to its users. As decisions are made that will impact large and small companies in the future, platforms like BIG are a saving grace for all parties involved.

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Cognitiv Launches First-Ever Deep Learning Search Optimization Platform

Cognitiv Search Harnesses the Power of AI for Real-Time Search Optimization

Cognitiv, the first self-learning, fully automated neural network technology available for marketers, announced the launch of Cognitiv Search, the first-ever deep learning search optimization platform to use artificial neural networks to optimize paid search campaigns based on internal and external triggers.

“Consumer purchasing behavior has always been influenced by triggers like weather, time of day, and location. However, optimizing search is a hands-on process for marketers — it is time consuming, manual and imprecise,” said Jeremy Fain, CEO and co-founder at Cognitiv. “By tapping into unstructured data, Cognitiv Search plugs the power of deep learning into paid search, empowering brands to connect with consumers during these critical moments and increase advertising results and improve efficiency.”

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Cognitiv Search launches with a feature called WeatherIntent that allow marketers to optimize bidding based on current, recent or forecast weather conditions tied to a specific location. Bid adjustments are made in real time using deep learning whenever a desired or optimal weather trigger is active, like rain, snow, extreme cold, or heat, in a particular region. Over time, Cognitiv Search will add additional optimization capabilities that automatically change bids based on keywords, devices, times of day/week/month, locations and even custom first party inputs to maximize revenue and/or clicks.

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“Cognitiv is the first company to make deep learning actionable to search marketers, and Cognitiv Search allows search strategies to focus beyond the keyword and high-level audience demographics and behaviors—a much needed update for the industry,” said Kenneth Hamner, Vice President of Search Engine Marketing at Edelman. “This is a great addition to our tool set that automates tasks that couldn’t be done manually in paid search, and it allows any marketer using Google Ads to simply and easily access the power of AI-optimized advertising not native to the platform. Cognitiv Search is yet another sign that deep learning can more accurately and efficiently connect marketers with the right people at the right time with the right message.”

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