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Interview with Cory Treffiletti, VP Marketing & Partner Solutions – Oracle Data Cloud

[mnky_team name=”Cory Treffiletti” position=” VP Marketing & Partner Solutions – Oracle Data Cloud”][/mnky_team]
[easy-profiles profile_twitter=”https://twitter.com/ctreff” profile_linkedin=”https://www.linkedin.com/in/ctreff/”]
[mnky_testimonial_slider][mnky_testimonial name=”” author_dec=”” position=”Designer”]“Demand for better marketing is increasing as we try to better understand effectiveness across all channels, not just what we currently define as digital.”[/mnky_testimonial][/mnky_testimonial_slider]

On Marketing Technology


MTS: Tell us a little about your role and how you got here.

I lead Marketing & Partner Solutions for the Oracle Data Cloud. Marketing represents all of our inbound and outbound brand development, messaging and communications as well as demand gen and growth marketing. Partner Solutions is essentially an inside sales-esque function where we operate an inbound Data Hotline for servicing customer questions and requests along with an outbound Lab that offers educational training around the ecosystem of data-driven marketing. It’s a great tool that helps the entire industry get smarter around what data makes possible for marketers.

I arrived at Oracle through the acquisition of BlueKai in 2015, where I was CMO and led marketing and inside sales. Prior to that I successfully helped launch or build a number of digital ad agencies, a digital consultancy and a few media-oriented startups in the music, entertainment and social media spaces. I learned a lot along the way. I’ve been successful through a combination of being in the right place at the right time, looking for great people to work with and offering my own unique perspective on how to drive results through advertising and marketing. I always wanted to be in advertising. The progression to marketing felt natural to me as it encompasses all the things I love: creativity, accountability, metrics and stories.

MTS: Given the massive proliferation of marketing technology, how do you see the martech market evolving over the next few years?

The market matured very quickly and most marketing organizations placed their bets on the companies and partners they want to work with by now. The biggest areas such as email, CRM, website optimization and advertising are sorted out and the winners are relatively clear. There are certainly areas where consolidation is still possible to ensure the leading companies have all the functionality they need.

There is a second tier of companies that will acquire any missing parts they still need to remain competitive, but the next two to three years is most likely about scale. Marketers are focusing their time getting the most out of their partners and maximizing the ROI for their investments in the space. They’re not likely to rip and replace their large investments because they’ve already invested quite a bit and want to see the results achieved. My gut says new players in the market must offer a truly revolutionary improvement to the existing platforms to get into consideration with the larger brands.

There is space for the small to mid-size business market that can’t afford the large investments, but I think the big brands are settling in pretty well. I do see the market still headed towards consolidation across channels as well as players within channels. Most of what’s been developed in a digital environment is going to be leveraged in TV, Outdoor and Experiential marketing channels. Marketers are going to arrive at a true cross-channel attribution model that goes beyond “standard” digital and allows them to better understand the impact of spend everywhere.

MTS: Is there a false dichotomy among sales tech, ad tech and mar tech right now?

Yes and no. These delineations were useful while the categories were being established and grown, but as they mature you do see the lines blur. Having these delineations is useful because each does have its own set of inputs and initial considerations, but the outputs all drive to sales and revenue. The so-called dichotomy exists more in the balance of “data in” and “data out,” more than the channel itself. Different teams in the organization utilize these tools, but they all push to the same outcome and there’s overlap in use cases. Fundamentally, they are all part of the same stack and the overall consumer-experience management across all channels.

MTS: How many years will it take before demand finally stops outpacing customer understanding?

In my opinion, this is a 10–15 year window still, which is longer than many people think. Demand for better marketing is increasing as we try to better understand effectiveness across all channels, not just what we currently define as digital.

The big driver of this time period is TV, which is where the other largest portion of ad and marketing spend currently rests. The foundational elements of digital will get applied to TV and then as much as 80 percent of marketers’ budgets will be attributable to driving revenue growth. The TV industry is still a few years away from going addressable across all channels, and there is a period of time where these foundational elements will get integrated and some testing is executed. Maturity in that much broader category of all media is 10–15 years away, so we have a long way to go.

MTS: What marketing capabilities are central to Oracle’s Data Cloud and how do they assist in unraveling customer journeys?

Most people will expect me to say that for us the most important tool to helping us craft a journey for our users and customers is data, but my real answer is insights. We have to practice what we preach and while data is important—and while our entire offering is around data—it’s not really the data that’s important as much as what the data makes possible.

For us, the data enables us to identify and recognize the audience we are speaking to and that combined with our understanding of the challenges facing our audience makes it possible for us to deliver the right messages to them. We have a demand gen journey we established where we know what types of challenges are facing our customers and we leverage those insights to deliver the ideas that inspire them to have solutions using insights from other customers.

If you’re a CPG brand looking to solve a specific problem, such as scaling your targeting efforts, then we deliver content to you highlighting how other CPG brands used data to create relevant reach across publishers and how these types of campaigns perform better than standard industry norms. If you’re an auto manufacturer with an upcoming new car launching, then we deliver messaging to you that features how other auto manufacturers built modeled audiences leveraging first- and third-party data to deliver test drives and new car sales. We go to market in an industry-targeted manner and focus on the specific challenges for each specific audience. If it’s someone we already work with, we leverage that relationship. If it’s a new contact or a new engagement, we start with what we know about other customers like them and tailor the messaging from there.

It’s about modeling matched to deterministic IDs over time. It’s about using the data to target the message and making sure the message aligns with what we either know to be a challenge or is based off an industry-informed hypothesis of what they are looking to achieve.

MTS: Is there a common theme to our customers when they face integration?

For the Data as a Service (DaaS) category, at least for how we have set it up, integration is not an issue. Our DaaS model is to inject data into SaaS platforms so there is no such thing as “integration.” We simply push data into whatever platform you are looking to use. Integration means you’re syncing two systems together so they can work well, but we rely on whatever system you’re using rather than demanding you leverage one of ours. We push into Oracle systems as easily as non-Oracle systems. It’s rather seamless delivery of data.

MTS: What start-ups are you watching?

The startups around data management, data modeling and artificial intelligence in the forms of machine-based learning are interesting to our teams. For me, it’s about automating base functionality so the teams can allocate their time toward more impactful, more strategic items. Some folks at the Oracle Data Cloud are interested in improving the ways we aggregate data, but my team specifically is focused on seeing how other companies are improving the delivery of a marketing message.

MTS: What tools does your marketing stack consist of?

As you might expect, we leverage the Oracle suite of tools so the customer experiences the Oracle Marketing Cloud, which includes Eloqua and the BlueKai DMP, plus our Social Cloud tools.

MTS: Can you tell us about a standout digital campaign?

We recently launched a campaign around our Data Hotline, which is massively successful.  Our hotline is a free service to anyone in the industry. We will answer questions around data, custom and syndicated audiences, the data eco-system, data modeling and any data provider we work with.

What’s important about this campaign, and should be mentioned in the context of a “digital campaign,” is that no campaign will ever be successful if it is solely digital. No good marketing campaign operates in a vacuum, so the answer is this is a standout campaign with a digital core. We’ve been delivering a 30–40 percent increase in in-bound lead volume to our Data Hotline month over month for the last five months as a direct result of online display, search and a targeted roadshow to key partners and agencies. The Data Hotline messaging speaks to “let us do the heavy lifting” work for you and let you get back to what you should be doing, which is be strategic on behalf of your customers.

We do the so-called dirty work of researching and recommending data solutions while you do other things. We respond within 24 hours and, in many cases, far fewer. This time last year, we averaged around 900 inbound leads per month and now we are close to 2K leads per month. It’s been an amazing effort and is not showing any signs of slowing down right now.

MTS: How do you prepare for an AI-centric world as a marketing leader?

We are already leveraging AI. The preparation took place last year and the year before. Much of the foundational elements of digital marketing are prep for AI because it’s about data in or aggregation and analysis, and data out or delivery and optimization. AI creates automated insights and intelligence for us and our teams. While being so focused on data, we’ve been using these types of tools for a while. They are rapidly improving and getting even better, so we assume our ability to embrace these tools now will set us up for even more success later.

MTS: One word that best describes how you work.

Evolution. Our teams are always looking to evolve. We deconstruct what worked and what didn’t and we learn from these things and move forward. We enable our team to try new ideas and test things, but to do so quickly. We never allow a month to go by where we haven’t tested something new and that pushes our team and our campaigns to evolve constantly.

MTS: What apps or software can’t you live without?

Data visualization apps are key for me. I am a very visual person and I need to see the data in charts and graphs and in action. I can crunch a spreadsheet with the best of them, but I need to see things to understand trends and synergies. Those are the best way for me to synthesize insights our team can best put to use.

MTS: What’s your smartest work related shortcut or productivity hack?

I keep my inbox as empty as possible. It’s clear when I go to bed at night (at least for 20 minutes). I have a simple solution for flagging emails that I will review later and highlighting to-do’s that are immediate vs. long term. I need to see whitespace in front of me for my brain to wrap itself around the outstanding, important items of the day. If my inbox is cluttered, so is my brain—if that’s the case, then I can’t get much done.

MTS: What are you currently reading?

I am reading Nudge by Richard Thaler and Please Kill Me: The Uncensored Oral History of Punk by Legs McNeil and Gillian McCain. I try to read things in balance. I balance one topic being on business and the other on popular culture. The business side of things helps me to be intelligent about what’s going on around me. In this case, it’s about behavioral economics and the ability for people to improve their decisions leading to happiness and health. This has immediate impact on storytelling for marketers.

On the pop culture side of things, marketing is about swaying people’s opinions and pop culture is a huge influence. I love music and biographies of people and trends in music because the environments around them always influence them. By reading about these people and trends, you gather insights and can even use them to predict what might happen down the line. Plus, everything is cyclical so it’s good to know what happened before because it might come back into vogue. Oh, and I really like guitars.

MTS: What’s the best advice you’ve ever received?

It’s difficult to recall all the great advice I’ve been lucky enough to receive over the years, but there is one that stands out. I was recently reminded that “presentations are boring and the audience doesn’t want to be there.” It sounds negative, but it’s actually very freeing when you think about it. People hate presentations and nobody likes to sit through them, so if you start with that as a forcing function when you’re preparing a presentation, it makes you think about how to be entertaining as well as informative.

I actually go the extra mile and think that presentations suck, so how do you make yours not suck. It’s about conveying your story in images, with little copy. It’s about telling a narrative and bringing the audience on a journey. If you do that, you become much better than a standard presentation in PowerPoint with lots of words and high-minded thinking.

MTS: Something you do better than others – the secret of your success?

I like to think I am very self-aware. I am by no means perfect, but I routinely examine what I am doing well and what I can improve upon, with the knowledge that I can always be improving. It’s a good practice for people to take on, but unfortunately not everyone does.

MTS: Tag the one person whose answers to these questions you would love to read:

Bill Pearce—former CMO of Del Monte Foods, Taco Bell, and more.

Cory has been a thought leader, executive and business driver in the digital media landscape since 1994. In addition to authoring a weekly column on digital media, advertising, and marketing since 2000 for Mediapost’s Online Spin, Cory has been a successful executive, media expert and/or founding team member for a number of companies and published a book, Internet Ad Pioneers, in 2012.

Oracle

With more than 380,000 customers—including 100 of the Fortune 100—and with deployments across a wide variety of industries in more than 145 countries around the globe, Oracle offers an optimized and fully integrated stack of business hardware and software systems. Oracle engineers hardware and software to work together in the cloud and in your data center–from servers and storage, to database and middleware, through applications.

[mnky_heading title=”About the MarTech Interview Series” link=”url:http%3A%2F%2Fstaging.loutish-lamp.flywheelsites.com%2Fmts-insights%2Finterviews%2F|||”]

The MTS Martech Interview Series is a fun Q&A style chat which we really enjoy doing with martech leaders. With inspiration from Lifehacker’s How I work interviews, the MarTech Series Interviews follows a two part format On Marketing Technology, and This Is How I Work. The format was chosen because when we decided to start an interview series with the biggest and brightest minds in martech – we wanted to get insight into two areas … one – their ideas on marketing tech and two – insights into the philosophy and methods that make these leaders tick.

Read How Zilliant Managed to Scoop $30 Million from Goldman Sachs

Zilliant's Price Optimization Software Wins Investor Trust

Zilliant scooped $30 Million from Goldman Sachs last week. It will use the capital to fund global growth opportunities in the B2B enterprise industry across multiple sectors

Zilliant, an Artificial Intelligence-driven SaaS-based B2B price optimization platform, offers sales and competitive pricing decisions to help B2B marketers achieve margin targets and retain customers at the same time. Customers use Zilliant for maximizing the lifetime value (LTV) of B2B customer relationships.

“As the only B2B AI-driven SaaS platform in the market today, Zilliant is committed to enabling growth and profitability for our customers while strengthening their existing customer relationships.”

Before opting for Zilliant, the global leader in Energy Management, Schneider Electric, SE, failed to meet customers’ expectations in terms of competitive pricing and was not even offsetting raw material costs. Zilliant’s sophisticated data science and scalable technology offer price optimization and price management software for manufacturing, distribution, high-tech, and industrial service companies. The prominent investors in the company are GE equity, JP Morgan Partners, among others.

The price optimization software of Zilliant helps pricing team deliver market aligned competitive pricing for significant margin improvement and increased customer retention.

The $30M investment from Goldman Sachs in Zilliant further highlights its ability to help company leaders easily manage cost changes and meet customer expectations while hitting revenue targets by using its patented data science. The funding would fuel its expansion globally in the B2B enterprise industry across multiple sectors. It takes the total funding received to $92.4 M since its inception in 1999. Prior to this, it received  an undisclosed amount of investment 5 years ago.

“We have selected Goldman Sachs as our new investor based on their successful track record of funding and supporting fast growing companies and are optimistic about the value they will bring,” said Greg Peters, President, and CEO of Zilliant.

A Goldman Sachs’ investment arm, Private Capital Investing Group (“PCI”), made the investment. PCI is dedicated to providing junior capital to growth and middle market companies throughout North America. The group is co-headed by Hillel Moerman, Managing Director.

Holger Staude, Vice president at PCI, said, “Goldman Sachs is pleased to contribute to Zilliant’s continued growth. The company’s differentiated approach to SaaS-based, AI-enabled analytics, as well as their growth trajectory and strategic management team, position them to deliver significant value to the B2B industry.”

Zilliant’s power-packed prescriptive applications- SalesMAX and MarginMAX, offer patented data science techniques that reveal accurate sales opportunities and pricing guidance. These applications are aimed at catching the attention of the industry affected by pricing and sales woes.

SalesMax™ is a prescriptive selling application that offers a 20 to 30 percent increase in same customer revenue, adding 5 to 10 percent to overall revenue.  It compares customers’ current spend with what they should be and was buying, revealing thousands of actionable sales opportunities at a level of accuracy, speed, and scale that isn’t possible through manual analysis.

On the other hand, MarginMax™ is the mathematical price optimization software application that measures price elasticity at the micro-market level, and predicts the impact of price changes and enables companies to execute optimal pricing strategies that achieve multiple P&L objectives. It optimizes all price models from spot quotes to agreements to price lists, producing guidance that makes sense and makes money.

The company’s advanced intelligence is delivered seamlessly through the Zilliant IQ™ platform, which is integrated within existing field sales workflows, CRM applications and eCommerce channels, to inform pricing and sales decisions and increase the value of every B2B customer interaction.

FE International Closes Another Landmark Deal; Funnel Engine Acquired by Blackstone Valley Group

Funnel Engine, an authority website on marketing automation, has been acquired by Blackstone Valley Group (BVG). The latest acquisition was announced by FE International. Funnel Engine, a business of Profit is Good Ltd. company, was built by the owner of the company – Richard Patey. This acquisition by BVG will enable the company to focus on and invest in online assets in different verticals.

Richard Patey, Director- Profit is Good Ltd
Richard Patey, Director-
Profit is Good Ltd

Excited about the latest development around the acquisition, Richard Patey says, “It was great to work with FE International who found a strategic buyer who understands the value of content sites and the high margin business model. I am very much looking forward to working with Raghu Vohra and BVG in the transition and in the future.”

The sale of Funnel Engine is yet another landmark deal for FE International, the market leader in the sale of online businesses. FE International acted as sole adviser to Funnel Engine.

BVG is building its in-house technology portfolio in Callidus Ventures by acquiring businesses in marketing/sales/advertising verticals. Funnel Engine presented a compelling case to be acquired as a strategic fit, leading to the final step.

Raghu Vohra is confident about leveraging the expertise and audience reach of Funnel Engine. Raghu says, “Richard Patey is one of the leading evangelists in marketing automation and when we learned that Funnel Engine was for sale we jumped at the opportunity to add it to our portfolio. We look forward to scaling and broadening the reach of Funnel Engine for the benefit of consumers looking for marketing automation tools.”

FE International is a phenomenal advisory team for martech ecosystem. It has completed over $75 million worth of transactions in SaaS, e-commerce and content business acquisitions since 2010.

Who’s next in life for another acquisition after Funnel Engine?

Omega Metrics Delivers First Performance Management App for Marketo

Omega Metrics Delivers First Performance Management App for Marketo

The alerts and lightning fast charts through Omega helps Marketo customers reduce the risk of errors that allows them to spend more time marketing instead of troubleshooting

Omega Metrics, the automation intelligence software formed by Digital Pi, launched the first performance management application for Marketo that will troubleshoot its performance issues. It monitors, optimizes, and proactively manages the Marketo Engagement Platform.

Omega gives Marketo users insights to correct problems and improve performance in not only Marketo but also other connected applications such as Salesforce.com and Microsoft Dynamics CRM.

“As companies place more reliance on marketing automation to engage their customers, they expect these technologies to perform flawlessly 24/7.  These cloud applications, while offering sophisticated methods to engage people on a global scale, also present significant new challenges to an old problem: how to sustain adequate system performance and reliability,” said Ryan Vong, President, and CEO of Omega Metrics.

Marketo customers see their data analyzed through Omega from an operational perspective to ensure their marketing and sales automation systems are working accurately. The alerts and lightning fast charts through Omega helps Marketo customers reduce the risk of errors that allows them to spend more time marketing instead of troubleshooting.

The Users Perspective

Faleni Leauanae, Senior Manager, Marketing Automation at Workfront, said, “Omega gives us easy-to-use dashboards and quick-glance views of what’s occurring with our Marketo data. The data helps us know where to begin troubleshooting and where we can optimize. Right away, we were able to answer key questions around Marketo API usage, and avoid running into usage limits.”

A Marketo Services Partner, Rev Engine Marketing saw its client boost system efficiency by more than forty percent after identifying over 100 unnecessary fields, campaigns, and segmentation activities. “Unraveling those processes would have taken weeks without Omega,” said Jeff Coveney, President of RevEngine Marketing. Omega has been instrumental in helping clients increase system efficiency by eliminating unnecessary Marketo processes.

Irrespective of you being new to Marketo or a certified expert, Omega insights help clients with valuable answers in easy-to-understand charts. Omega produces insightful information that you can’t easily get out of Marketo such as performance bottlenecks, scoring trends, buying journeys, and ranks the health of your instance.

Read Also: Marketo and Infor Join Hands to Bring Best-In-Class Marketing Solutions in the Engagement Economy

Salesforce Expands Into Japan With a New Data Center in Kobe

The leading marketing cloud company opened its second data center in Japan to deliver the Salesforce Intelligent Customer Success platform to customers locally

Salesforce is expanding further into Asia with a new data center. The CRM provider announced that it has opened its second data center in Japan, located in Kobe in the country’s Kansai region. The new data center will enhance the company’s ability to deliver the Intelligent Customer Success Platform including Sales Cloud, Service Cloud, App Cloud, Community Cloud, Analytics Cloud and more.

“The new data center will support the unprecedented growth we’ve seen in the region and further accelerate the adoption of the Intelligent Customer Success Platform. This is one of our commitments to Japan.”

Additionally, the new data center will also provide associated solutions from Einstein, reaching and collaborating with companies in Japan and the broader Asia-Pacific region.

Shinichi Koide, chairman, President and CEO, Salesforce Japan expressed his delight on the new development. Koide says, “We are pleased to announce the opening of our second data center in Japan. With this new data center, along with the first local data center opened in 2011 in Tokyo, Salesforce will be able to continue delivering exceptional reliability and performance to customers.”

Salesforce’s decision to expand into East Asia comes as a result of a prolific Q4 of FY17. The leading CRM maker acknowledged that the Asia-Pacific region (including Japan) was their fastest-growing region, growing at 30% in constant currency.

With the addition of the company’s second Japanese data center in Kobe, Salesforce is poised to deliver the Intelligent Customer Success Platform locally to more customers, including Canon Marketing Japan, Inc., Meiji Yasuda Life Insurance Company, and Sompo Japan Nipponkoa Insurance Inc., Ltd.

DEG Acquires We Do Commerce to Expand Further into Salesforce Cloud Ecosystem

The deal expands DEG’s geographic reach along with its expertise in Salesforce ecosystem

DEG, a full-service digital agency, acquired ‘We Do Commerce’, an award winning e-commerce solutions provider for retailers in North America, to expand its expertise within the e-commerce and Salesforce ecosystem. The price of the deal remains undisclosed. The acquisition combines the Commerce Cloud Expertise of We Do Commerce with DEG’s cross-cloud and digital marketing prowess.

The deal positions DEG as the go-to agency to enhance the success of marketing across the Salesforce platform. The digital agency has already won the ‘Salesforce Marketing Partner of the Year’ award thrice for their unmatched contribution towards customer success.

“Along with the ability to produce the kind of high-caliber work our clients expect, the We Do Commerce team further solidifies our position as a leading consumer goods and retail-focused agency that assists brands in acquiring, engaging, converting, and retaining their customers,” said Jeff Eden, Chief Revenue Officer at DEG.

“A Commerce Cloud practice, in addition to our 17 years of e-commerce experience, further extends our cross-cloud Salesforce capabilities and places us in a unique position to activate Salesforce’s vision.”

This is its second acquisition this year after buying Hint studios- a Kansas-based creative content and experience design shop. By acquiringWe Do Commerce, DEG moves into the former’s Pittsburgh office, expanding its reach into the Northeast and Mid-Atlantic.

We Do Commerce has over 15 years of experience in developing front-end and back-end solutions leveraging on Salesforce Commerce Cloud.  The clients include Conair, ChalktalkSports, Sally Beauty, Rainbow Shops, Willow Tree and Glowology.We Do Commerce developed strategic partnerships with leading e-commerce technology companies like Bazaarvoice, Paypal, eBillMe, Checkout by Amazon.

Founded in 1999, DEG creates data-driven digital marketing, commerce, and collaboration strategies that empower organizations. Being a salesforce commerce cloud partner for nine years, it has integrated many Salesforce technologies across clouds to create impressive results for existing clients. It serves flagship global brands, including Purina, AMC, Crocs, Hallmark, and AEG.

The two companies have significant combined experience in developing e-commerce solutions that leverage Salesforce Commerce Cloud to build e-commerce sites.  Jeanette Thomas, CEO of We Do Commerce, commented, “Along with the tremendous business fit, we are very excited to join such a high-quality and well-regarded agency with values and company culture very consistent with our own.”

Nielsen Builds a New AI-Brain – “Nielsen AI” for Marketing Cloud

The addition of AI methods means Nielsen’s Marketing Cloud can respond instantly to changes in consumer behavior

Nielsen,  a global information and Measurement Company, rolled out Nielsen Artificial Intelligence “Nielsen AI”, an adaptive learning technology meant to automate audience optimization using patent-pending AI methods. Subsequently, it announced its U.S. e-commerce measurement solution, delivering a comprehensive total consumer view of 90% of fast-moving consumer goods (FMCG) online sales within the U.S. market.

Nielsen claims its AI solution automatically adapts to consumer behavior whenever it gets new information, unlike competitors who rely on batch learning. Currently supporting over a thousand live adaptive learning models with clients, Nielsen AI is seeing a nearly  25% lift over standard batch-learning models that are time-consuming.

“In a competitive environment where every moment counts, marketers need to be able to act on up-to-the-second information in an automated way.  Nielsen AI equips them with the tools they need for real-time data processing, learning, and syndication, enabling marketers to cut through the clutter by providing superior customer experiences across channels, devices and time,” explains Nielsen’s Mark Zagorski, Executive Vice President – Nielsen Marketing Cloud.

Zagorski presided eXelate, the company that started work on AI in 2013 and was acquired by Nielsen in 2015.

Nielsen AI is increasing the accuracy of 60,000 audience segments of Nielsen Marketing Cloud’s Data-as-a-Service (DaaS) unit. Nielsen has operations in over 100 countries that cover more than 90 percent of the world’s population.

How does it move from Data to Actionable Insights?

With Nielsen AI, you can move beyond customer segments and reach out at an individual level to gain actionable insights for granular audience targeting.

Nielsen AI automatically optimizes audiences as per the real-time streams of data coming from client’s customer device comprising of customer’s e-commerce purchases, visits to client’s product page on a website or app or audience data derived from Nielsen.

Marketers can dynamically change their messages to reflect fluctuating consumer media and buying behavior. These messages are based on the movement through the path-to-purchase; audience composition across consumer attributes including demographics, geography, behavior and personality; and market dynamics related to seasonal and local market demand, competitive actions and advertising.

Audience Data Syndication to target on all Digital Channels

Nielsen AI syndicates audience data updates in real time across search, social media, email, video, mobile, programmatic, OTT-TV and owned-and-operated websites and apps.  This enables marketers to reach the right audience with relevant and timely advertising and content across all digital channels.

Through its real-time adaptive learning capabilities, Nielsen AI lets clients cope better with increased competition for consumer attention, growing demand for more granular audience targeting, and a need for more immediately responsive marketing capabilities.

Food and beverage, retail, personal care, financial services, wine and spirits, digital media and out-of-home, are some of the verticals witnessing the impact of Nielsen AI. For matters concerning security, Nielsen provides the option to opt-out of targeted advertising through settings on their device, Nielsen’s website or content providers, at any time.

Nielsen Holdings is a 93-year-old firm that went public in 2011. It has 19 acquisitions in its kitty. The revenues were $6,309 million for the full year of 2016, up 2.2%, or 4.1% on a constant currency basis, compared to 2015. The Nielsen Marketing Cloud serves as the backbone to its Watch and Buy Assets. It recently launched Benchmark Media Optimizer-an intelligent media allocation tool that allows brands of all sizes to make informed, data-driven decisions, without the requirement of a custom marketing mix study.

Optimove Customer Marketing Cloud Now Laced With AI-Based Recommendations & Replenishment Features

New features integrate with retailers’ CRM strategy to deliver more personalized, predictive recommendations based on intent rather than just history

Optimove, the maker of Optimove Customer Marketing Cloud, announced the introduction of two new features — Recommendations and Replenishment, to enable retail customers to deliver unmatched personalization and experience based on intent data-based predictive intelligence. Optimove Customer Marketing Cloud now have Recommendations and Replenishment features that use proprietary machine learning algorithms to allow retailers gain more visibility into their customers purchase behavior, combining their historical data as well as intent based on predictions. The predictive recommendations are drawn from the touch points along the customer journey.

Optimove logo

Optimove Customer Marketing Cloud then intelligently integrates tailor-made recommendations and replenishment tools with customer’s existing CRM strategy, helping marketers increase brand loyalty, engagement, and revenue at scale.

Optimove, driven by its commitment to enabling marketers with clear, real-time communication with their customers, introduced the new features to add “Emotional Quotient” into CRM strategies. The human touch in marketing automation based on intent data enhances engagement, and by adding product recommendations and replenishment tools, Optimove has moved a step closer in showing customers—“Yes we’re really listening.”

Pini Yakuel, CEO of Optimove, says-

“Optimove is bringing the power of a robust CRM strategy to a B2C world; connecting content and product recommendations to our customer data models gives marketers insights they never had before.”

Optimove introduced Optibot, world’s first marketing optimization bot to bridge the gap between data science and CRM strategies. The company did not clarify if Optibot will also deliver Replenishment and Recommendations to its customer cloud platform.

Traditionally, retailers have relied on the siloed product recommendation and replenishment engines to make relevant suggestions, even with limited customer information. That will change with the introduction of Optimove’s latest additions.  With Optimove, retailers will have supreme customer intelligence based on intent data, allowing retailers to have a more holistic view of their customer and be able to predict their wants and needs accurately with smarter data.

Apart from the Optimove Customer Marketing Cloud, the recommendations and replenishment features also augur well for the customers using its other products, including Predictive Customer Modeling, Predictive Marketing Software, Marketing Data Hub, Multi-channel Campaign Automation, Real-time Hypertargeting Marketing, and Self-Optimizing Personalization.

Marketers looking for best-in-breed customer marketing solutions no longer rely on siloed SaaS-based predictive modeling platforms. Optimove’s new enhancements to the Customer Cloud Marketing could help drive perfectly-orchestrated multi-channel campaigns based on intent data.