Big Data Trends to Watch in 2019 on bdex.com

Big Data Trends to Watch in 2019

Artificial intelligence and innovations like BDEX Cross-Device Matching will enable marketers to take content personalization and in-store marketing to new levels and open vast stores of unstructured data for mining.

Saying big data means a big business has never been more accurate. Worldwide, revenues for big data and business analytics solutions are projected to hit $166 billion this year and $260 billion by 2022, led by U.S demand.

Today, data signals come from both the physical and digital worlds to bring unprecedented insight into not just which customers are in the sales funnel, but where they are in the funnel. 2019 is shaping up as another big year of growth for BDEX as word spreads of the superiority of our platform and customer service. We expect our approach will continue to win customers and raise standards across the data marketing industry.

In the meantime, here are some other data marketing trends that could gain steam in 2019.

Harvesting voice search

Audio recognition has come a long way since IBM’s Shoebox in 1962. Gartner predicts that voice search technology could boost digital commerce revenue by 30 percent in the next few years. Starbucks has added voice ordering capabilities to its iOS app to the Amazon Alexa platform to help customers place their orders.

Over 66 million Americans are expected to be using audio recognition by 2019 and generating billions, if not trillions of data points as a result. That’s not surprising given that 33 million Amazon Echo, Google Home, and other voice-first devices are expected to be in use by the end of 2018.

Honing location-based marketing

Thanks to geofencing and BDEX Cross-Device Matching, brands can know when a consumer who was shopping for their products online four days ago is in or near a point of sale. That means they can send coupons and other advertising directly to a target customer’s smartphone or other mobile devices to help close the sale or inspire an add-on sale.  BDEX is committed to developing the infrastructure that enables brands to sustain their conversations with consumers throughout their path to purchase, whether that is online, near or in a store. If you missed it, read this recent  BDEX blog post about the vast potential of location-based marketing and why Ralph Lauren, McDonald’s and Walmart are investing in it.

AI enabled in-store marketing

Consumers will begin consenting to have their faces scanned so they can participate in loyalty rewards programs such as coupons, express checkout lines and other levels of service enabled by artificial intelligence, predicts one executive quoted by Forbes.com contributor Gil Press in the Forbes.com article “120 AI Predictions for 2019.” Other predictions in the article include the growing use of AI to mine in-store video for customer insights that could lead to more frequent floor changes and determine what content works best at what point in the sales funnel. Adobe Analytics is among the companies leading the charge when it comes to using AI to sift through trillions of signals to determine what content works best at each stage of the consumer’s path to purchase. Such technology will enable new levels of content personalization in 2019.

Dark data and the rise of CDOs

Advances in applying AI will be critical mining dark data, or the vast stores of unstructured data stored on corporate servers that can’t be utilized for marketing or other purposes until its tagged and organized. Businesses that find ways to economically structure and exploit that data will gain a key competitive advantage, so expect more to name chief digital officers, or CDOs in 2019. Organizations with a CDO could gain an edge over their competition by collecting and monetizing their dark data to a far more effective degree and BDEX stands ready to help them.

BDEX is committed to building the infrastructure marketers need to power human connectivity. Call (917) 410 6616 or email us at info@bdex.com today to learn how Cross-Device Matching and other BDEX solutions can help you put the right messages in front of the right consumers at the right time.

2018 Year in Review. Data Overload on bdex.com

2018 Year in Review. Data Overload

The proliferation of unstructured data seen this year is poised to accelerate in 2019 and BDEX stands ready with an infrastructure built to power human connectivity.

One of the recurring themes to emerge in 2018 was data overload. The ability of humans to generate data continued to outstrip our ability to understand and act on it. In 2019, there will be the additional challenge of structuring the growing torrent of data from so many disparate sources.

Amid all the excitement about the convergence of Big Data, Artificial Intelligence (AI) and the Internet of Things (IoT), however, some still ask if all the data is going to make us any smarter?  Is it really going to make marketing more efficient, more precise, more effective?

At BDEX we are confident it will because we have spent the last five years building a proprietary data infrastructure to power human connectivity. Today, our platform tracks more 800 million connections between email and mobile IDs and cookie and email IDs to make sure we can connect our customers to the right people on the right device at the right time. We have curated more than 5,500 data classifications that enable our analysts to produce targeted customer lists with unprecedented accuracy, granularity, and speed.

We see the value of these investments being validated every day in the marketplace. As 2018 draws to a close, it seems like a good time to review how and why we have built our infrastructure and what marketers can do with it. So here is a curated list of some of the articles we published on our blog last year.

We look forward to publishing new articles next year and will strive to make them as accurate, timely and actionable as our data. Stay tuned.

The BDEX advantage

BDEX is Not a Typical Marketing Data Company

The BDEX Data Difference

The Ins and Outs of Our Data Exchange Platform (DXP)

Why a Subscription Model Makes Sense for Targeted Marketing Data

How BDEX powers human connectivity

Find Your Ideal Customers with Our Taxonomy Explorer Tool

Device-Matching Connects Customers with Devices – and Businesses with Sales

Getting the Channel Mix Right in Target Marketing

Which Vehicles Will Drive the Success of Your Marketing Campaign?

How specific industries use BDEX to connect

Data-Driven Direct Marketing for Auto Dealers

Customer Targeting Made Easier for Media Companies

How Can Retailers Better Target Customers?

Automotive Marketing Case Study: Maher Chevrolet

How BDEX sees the future

AI on Target to Change the Way We Market

The Future of Data Promises the Perfect In-Store Marketing Experience

Data Holds the Key to Personalizing the Buying Process on bigdataexchange.com

Data Holds the Key to Personalizing the Buying Process

Real-time behavioral data meet consumers on their terms

The way marketers and advertisers reach potential customers has changed immensely in the last few years. We live in the age of “Big Data” where information and buying habits are collected via websites, search engines and social media platforms every second of every day.

Some consumers may see this as impersonal or even intrusive, but in many respects, the opposite is true. Data has allowed for a far more personalized consumer experience because now marketers can track online and in-store behavior to find out exactly what customers want – and then better meet their needs when they have them.

BDEX takes data to the next level by allowing marketers to reach their target audience based on real-time online searches, activity, and even in-person store visits. From research on hotels.com to shopping at The Gap, behavioral information can be used to reach potential customers who are actively searching for a service or product.

How modern data provides a more personalized experience

The term “Big Data” refers to a large amount of information collected together, which is then fused and analyzed by software that is designed to reveal patterns, associations, and trends. The raw data is impersonal – but analyzing that data provides highly-personalized information.

allBusiness puts it well: “While we may be in the Age of Big Data, we also are in the Age of the Customer. And, today’s customers are demanding that companies meet their expectations for service and experience. The simple truth is that companies that capitalize on data win the customer experience game.”

Online behavioral data helps reach consumers where they are at in the sales funnel

Online consumer behavior provides a treasure trove of data that can help all industries target potential customers in a more cost-effective way. These days, when consumers are looking to buy something – whether it’s purchasing a new TV or dishwasher, or researching places for their next vacation – they typically start the process by searching online.

“The average consumer looks at an average 10.4 sources before making a purchase. B2B buyers do even more research, with 94% of business buyers performing online research,” according to allBusiness.

Here are more quick stats:

  • 77% use Google searches
  • 84.3% check business websites
  • 34% visit third-party websites
  • 41% read user reviews

Of course, research is not conducted exclusively online. Consumers still visit brick and mortar stores, often going to multiple locations in search of the best deal or highest quality goods and services. All of this behavior can be tracked and used to create targeted, actionable lists that reveal when customers are in the market for a certain product. That’s where BDEX comes in.

How BDEX uses actionable data to personalize the customer experience

BDEX collects a vast array of real-time data based on actual consumer behavior. For instance, our data might reveal that a consumer has actively searched for products on petsmart.com. It might show that someone has recently moved to the area and is looking for furnishings (which means they might be in the market for home goods or even a local grocery store). We even have the capability to track if a consumer has visited a physical store using geofencing technology.

Conventional data lists only look at past consumer behavior, using predictive analysis to then “guess” what that consumer might do tomorrow. BDEX gives marketers the ability to track active, real-time searches – whether online or in-store. When this is combined with device-matching technology that follows an individual across multiple devices, it allows for incredibly precise targeting of consumers – and more effective marketing spends compared to other direct marketing methods.

Modern data allows marketers to provide the most personalized customer experience in history. BDEX can help by providing real-time data via over 700 million device ID connections and more than 900 billion data signals available through our proprietary Data Exchange Platform.

Call us at 917-410-6616 or send an email to info@bdex.com to start putting this information to work for your business.

What Does a Big Data-Driven Customer Experience Look Like?

Your customers expect you to understand their needs. 80% of modern consumers expect personalized experiences from their favorite brands. Despite increased budget for big data marketing initiatives, 43% of marketers feel they’re getting almost “no benefit” from their existing data assets. These two statistics illustrate a clear disconnect between what customers want, and what marketing teams are able to deliver.

The savviest marketing teams aren’t just deriving value from their internal, or first party, data assets, they’re obtaining high-quality, real-time insights from 3rd-party data vendors to develop a 360-degree view of their customers. In order to capture and retain today’s complex digital consumers, a big data-driven customer strategy is a must.


What Does a Big Data-Driven Marketing Strategy Entail?

Every time your customers swipe on a mobile device screen or post a status update to social media, they leave a trail of data on their preferences and behaviors. Each of these interactions offers the potential for your brand to gain insight into how to create personalized experiences for your customers.

By synthesizing first and third-party data insights in a data management platform (DMP), you can create a holistic view of your customer base. This allows you to understand patterns and stories that extend beyond your own touch points, and discover truths about how your customers interact with the world around them, by using these stories to create segments and understand your customers on an individual level. In this blog, we’ll discuss several of the best practices best-of-class organizations adopt when developing a marketing strategy that’s driven by big data insight.

1. Expand Your Data Collection
Transform your strategy from first-party data analysis to a program that’s focused on true cross-channel synthesis. By combining the broadest array of data sources possible, you can improve your strategic analysis and customer understanding.

2. Score Your Segments
By creating narrow segments of your existing customers, you can focus on your best clients. These are the individuals with the highest customer lifetime value (LTV), and who may be most likely to promote your brand on social media channels and other online forums. The creation of buyer persona profiles has traditionally been executed through qualitative research methods, such as focus groups. By allowing data to tell your story, you can eliminate organizational biases about what your best customers look like.

3. Focus on Customer Experience
When you have identified your best customers, it is critical to discover ways you can improve your client experience. You can discover insights on how your customers interact with brands through the inclusion of 3rd-party data. Are they mobile shoppers, or heavily-engaged app users? Tailor your engagement strategy to your client’s existing behavior patterns.

4. Get Personal
The best marketers know that big data has the potential to move your strategy from segments to true personalization. Use your big data insights to discover behavioral triggers, and tailor personalized marketing efforts to meet your client’s needs for relevant email marketing and programmatic advertising.

5. Measure and Optimize
With your programmatic advertising and email marketing metrics, your brand has the potential to move towards continual improvement cycling in your marketing program. Never stop collecting data, analyzing, and improving your efforts to deliver a best-of-class customer experience.


Are you ready to make the shift towards customer-focused, Real Time big data-driven marketing? Contact BDEX today for more information on high-quality, real-time big data assets from trusted 3rd-party sources.

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Are You Using the Most Advanced Data to Target Consumers?

The way we use data to target audiences is constantly evolving. The first phase in targeting was fairly simple in that we relied on only a few simple demographics, like age and gender, to segment consumers. Then audience groups were formed. More advanced and specific, audience groups were, and still are, based on consumers’ shared interests. The newest chapter in data targeting, utilizing real-time insights, merges information about demographics and audience groups with real-time activity. But that’s just the tip of the iceberg. Real-time data isn’t just information about your consumers’ spending habits in the last month. True, real-time insights let you know what your target customers are searching for the moment they shop online.


In the mid-20th century, marketers focused on only a few consumer demographics when developing marketing campaigns. While factors like age and gender were more important sixty years ago when people sourced their news and entertainment from the same place, the traditional methods for obtaining consumer data are not as relevant anymore. McKinsey’s John Forsythe demonstrates the problems associated with using only a few, superficial demographics by citing the differences between Prince Charles, Queen Elizabeth’s son and her heir apparent, and Ozzy Osbourne, lead singer of heavy metal band Black Sabbath. While both men are British and the same age, a marketer obviously wouldn’t market to them the same way.


Marketing and brand expert Adam Paulisick also believes that simple demographics don’t provide enough information to properly target consumers.


“Segmenting consumers by age and gender or other demographics is inefficient at best, even for more traditional marketing campaigns because there are no hard and fast rules anymore for what a man or a women will intuitively buy (with few exceptions).”


While we might not know the “hard and fast rules” that drive what a consumer buys, we can know the next best thing: what product they are shopping for the moment they shop. Real-time data takes into account everything we used to know about consumers based on demographics and audience groups and merges it with live activity.


Keith Sayewitz, Chief Marketing Officer and Head of Sales at BDEX, a market-driven exchange platform that provides users with real-time data, explains the value of real-time analytics for marketers.


“For years a company depended on simple demographics to identify a certain consumer, like ‘soccer moms.’ Then audience groups were formed, so we discovered those soccer moms were interested in fitness. But now, with real-time data, we learn which of those soccer moms are in the market for a treadmill or are switching to vegan cuisine. This information is incredibly powerful because it allows for truly advanced targeting. We know that this customer is likely to buy a treadmill because she is in the market for one at this exact moment.”


Marketers can then create specific ads for the desired consumer, increase the probability for conversion, and, therefore, create more sales. The insights provided by real-time data are essential to brands, retailers, and agencies who want to stay up-to-date on consumer activities and truly understand their customers’ needs.


BDEX, the first ever Data Exchange Platform (DXP), is currently the only source for true, real-time data. For more information about BDEX’s unique services, click here.

Image Credit: NEC Corporation of America

New to Big Data? You Don’t Have to Face the Giant Alone

The term “Big Data” is used regularly by those who work in the digital marketing, technology, or data industries. If you’re a business owner trying to market your brand, product or service, however, you may be a little confused as to what Big Data actually is. Analyzing data and marketing based on those results is no longer essential to only online stores or big businesses. Small and middle-tier companies are reaping the benefits of third-party data, including increases in brand awareness and revenue.

Big Data may seem overwhelming, but you don’t have to be a data scientist to learn the essentials. Below are three basic factors you should know:

A Simple Definition

There are hundreds of definitions for Big Data. For years its meaning was determined by the big Vs: volume, variety, and velocity. But Big Data is not as simple as its size; it’s also the technology that consumes and reads the data.

First-party data is gathered first-hand, like when an online store asks their consumers to fill out customer experience surveys. Third-party data is learned from other sources. By utilizing both first- and third-party data, businesses can gain the most comprehensive and useful insights possible.

It’s Not Just a Buzzword

When news of Big Data started circulating in the tech community, some people were skeptical of its size and capabilities, but Big Data has become an essential asset to digital marketers and an impressive money-maker. According to the most recent Worldwide Semiannual Big Data and Analytics Spending Guide from research firm IDC, global revenues for Big Data and business analytics will grow from nearly $122 billion in 2015 to $187 billion by 2019 (CIO).

As demand for Big Data increases, demand for data-related jobs continues to grow. According to Forbes, IBM and Oracle “advertised 26,488 open positions that required big data expertise in the last twelve months [The article was published in November 2015].” Typical Big Data roles include Data Scientist, Big Data Platform Engineer, and Data Quality Director, but you don’t have to be a data expert to reap the benefits of Big Data; there are a number of data companies that can perform the hard work for you.

The Difference Between a DMP and a DXP

DMPs, or Data Management Platforms, are basically data warehouses “most often used to manage cookie IDs and to generate audience segments, which are subsequently used to target specific users with online ads (Digiday).” Often, however, marketers find that the information learned from DMPs is not specific enough since it’s typically single-sourced. Most DMPs don’t have real-time signals either, so often the information becomes stale quickly. A DXP, or Data Exchange Platform, has the benefits of a DMP but operates in a marketplace setting. Advertisers, retailers, and brands can obtain data from a variety of industry-leading sources and gain real-time insights in one place, making campaign management easier, more efficient, and more effective.

BDEX is the first-ever DXP. Whether you’re new to the data world or are a marketing expert looking to make the most of your marketing budget, BDEX can help you reach your target customers across the U.S. For more information about BDEX’s unique data services, visit our website or email a representative.

Image CreditFlickr/Colin Kinner