The Martech Training Boom on bdex.com

The Martech Training Boom

The Martech arms race is creating tremendous demand for trained and certified digital marketing professionals. Trade organizations, for-profit companies, colleges, and universities are responding with a growing array of online and in-person options.

One of the primary challenges facing CMOs today is developing in-house digital marketing expertise needed to harness the power of in-house and third-party data.

Many companies are working to bring core data marketing technologies as well as digital marketing and advertising functions in-house. The effort will require not only spending billions of dollars on IT infrastructure but training or recruiting thousands of employees needed to build, maintain and run highly complex and often AI-enabled systems.

Marketers need new skills

A traditional marketing or advertising education consists of a bachelor’s degree in advertising, marketing, or journalism, with classes on consumer behavior, market research, sales, and the like. As marketing has become increasingly data-driven, marketers must continually build upon that foundation by becoming fluent in a wide and rapidly changing array of technologies and platforms.

Today’s marketing ecosystem is complex and poised to get more so as data continues to grow exponentially. In 2019, digital voice assistants and smart TVs will swell the amount of real-time data signals available to marketers. As the torrent of consumer data grows, companies need employees who can decide which data matter and how to integrate it into an increasingly complex data marketing infrastructure and strategy.

To stay competitive, CMOs are increasingly turning towards training and certification programs. Below we highlight just a few being offered by reputable trade organizations, companies, and academic institutions.

MarTech® Conference Workshops

MarTech® offers a variety of workshops at its conferences designed to provide marketers a deep dive into such topics as agile marketing, customer data platforms, buying marketing technology, creating connected experiences, or building a marketing team with talent optimization. Workshops offered at MarTech’s recently concluded conference in San Jose, California included “The Right Way to Buy Marketing Technology,” “Using CDP to Make the Most of Your Customer Data,” and “Agile Marketing Advantage.” The company’s next conference, MarTech® East, is scheduled to take place in Boston in September 2019.

IAB training certifications

The Interactive Advertising Bureau (IAB) offers certifications in Digital Media Sales, Digital Media Buying and Planning and Digital Ad Operations.

More than 9,500 participants representing more than 300 publishers, agencies, and ad technology vendors have enrolled in IAB’s certification programs since they were established in 2012. Many of the nation’s leading media companies—including AOL, Bloomberg, CBS Interactive, Collective, Condé Nast, Discovery Communications, NBCUniversal, Time Inc., Time Warner Cable Media, and Tremor Video—have pledged to have all eligible digital sellers across their organizations become IAB-certified.

The Digital Media Sales and Digital Ad Operations programs earned the American National Standard Institute’s (ANSI) first accreditation in digital advertising in 2015. The ANSI accreditation process, based on international benchmarks, increases the integrity, confidence, and mobility of certified professionals, and represents the highest standard in personnel certification.

Shoptalk

Shoptalk launched two education initiatives at its 2019 conference, which drew 8,400 people to Las Vegas from March 3-6. The first is a standardized set of sessions referred to as Shoptalk’s Core Curriculum, which covers many of the fundamentals of retail and will be repeated annually with updated perspectives and examples.

Shoptalk also launched an Annual Retail Education Certificate which is awarded to those individuals who complete 10 credits of continuing education at Shoptalk conferences. This certificate helps recipients distinguish themselves at a time when there is a significant divide in retail industry professionals’ knowledge of digital innovation.

Collegiate degree and certificate programs

A growing number of academic institutions are offering certification programs, ranging from community colleges to elite business schools such as Wharton at the University of Pennsylvania and the Kellogg School of Management at Northwestern.

Duke University has partnered with Simplilearn, an online training provider, to deliver a curriculum that provides students with advanced knowledge of the eight most important digital marketing domains and includes real-world projects and virtual simulations for practical experience. The program offers hands-on simulation labs and projects for practical learning with 350 combined instruction/study hours. Completion of the program meets the course criteria to sit for the Online Marketing Certified Professional certification exam.

As one of the world’s first data exchange platforms, BDEX is dedicated to building the infrastructure to power human connectivity. Contact us today to learn how we marketers access the best third-party data inexpensively, quickly and easily.

One Stop Data Shopping: Find Your Audience on bdex.com

One Stop Data Shopping: Find Your Audience

By using the right tools and strategy, you can find consumers when and where they need you most

The key to a successful marketing campaign boils down to meeting consumers where they’re at – in both the purchasing process and in life. E-commerce and the widespread adoption of mobile devices have revolutionized the way information is collected, stored, referenced, and employed, with the end result being an abundance of data that defines users more clearly than ever before. Although this surplus of information is a boon to advertisers, it can become overwhelming and costly if its use isn’t approached thoughtfully.

The BDEX DXP allows advertisers to identify and refine a potential audience at every stage along a spectrum of behavior and when the data was collected. The combination of the robust BDEX ID Graph and cross-device matching authenticates customer information across devices, allowing advertisers to reach individuals at every point of their progress through the sales funnel. Using data strategically means more opportunity to target your message to reach – and appeal to – the most qualified consumers, resulting in a higher conversion rate and increased return on investment.

Find your target

Ironically, one of the greatest challenges in digital marketing in recent years is related to the proliferation of devices. According to information from Cisco, there will be an average of 13 devices per person in North America by 2021. This increase has actually made it more difficult to chart a consumer’s path to purchase as they switch between smartphones, tablets, laptops, and smart TVs to do their research and shopping.

The BDEX ID graph uses authenticated customer information such as log-in data, email addresses, and credit card purchases to recognize consumers by assigning each user a customer ID for accurate matching. This enables marketers to seamlessly reach individuals across their many devices.

Perfect timing

Timing is everything in advertising. Finding the right segment of the population to deliver your message to is only half the battle – true success involves finding the right people at the right time. For instance, say your product is a family-friendly minivan with features such as a built-in hand vacuum, ample storage, and ease of installation for car seats; something clearly designed to appeal to parents.

Sure, you could perform a broad search to find people who are car shopping and in the age range to be parents, casting a wide net; however, customizing your audience to include parents (of multiple young children) who have explicitly researched safety features and/or recently purchased a car seat would vastly help you narrow your targeting and increase conversion rates.

The BDEX Explore Data tool allows you to mine through various data sets to reach customers throughout their purchasing process:

1. Build a custom audience

In the above example of marketing a family-friendly minivan, you’d want to direct your messages to people with children who are shopping for a new vehicle. The BDEX Explore Data tool offers many creative ways to do that. The various industries and taxonomies allow you to define your audience by their actions, preferences, interests, or behavior in an easily searchable database.

For instance, start by selecting the audience class under “Recreation/Autos,” where available options include visits to autotrader.com in the last 30 days, or people searching for safety ratings. Combine that with other criteria such as age, sex, income, marital status, and number and age of children to narrow your audience for relevancy and specificity.

2. Early sales funnel

Defining an audience profile gives you the ability to create relevant content that is tailored to their specific interests. With your customer persona in mind, brainstorm keywords and topics to inspire your blog and social media content for inbound marketing.

Designing content around information that is useful to your audience – versus outright advertising – improves search engine optimization, increases brand recognition, and can help position your brand as a trusted source.

The BDEX Explore data tool can help you find people interested in purchasing a vehicle. Choose the “Shopping/Vehicles” industry tab and the “In Market for” taxonomy to provide results of 346,600,348 unique devices. From there, the “Audience class” taxonomy offers an option for Van/minivan which returns 64,689,710 results and the “Before buying a car, I will find the safety rating” taxonomy narrows your audience to 5,478,601.

Content around tips for keeping your car clean and organized, automobile safety features every parent should know, and car seat installation tips would all be good examples of organic content ideas that would appeal to parents in the market to purchase a family-friendly minivan.

3. Real-time targeting

So, you know your audience and have content that is relevant to their interests … how do you make sure they see it? The data tool uses programmatic advertising to help direct your efforts. It ensures that your display ads appear for your targeted audience on digital content they are consuming in real time.

Your parameters could include people visiting a particular blog, content tagged with specific keywords, or people watching a certain television show. The “Persona/Family” industry includes a “Has Children” taxonomy with a count of 130,154,415 devices.

Under the “Audience Class” taxonomy for the “Shopping/Children” industry, options include households which have bought children’s clothing within the past 12 months, as well as people who buy diapers or have shopped at Babies R Us within the last three months.

4. Post-purchase

Continue to build brand loyalty and increase the chance of repeat sales by cross-referencing clickstream data, geofencing data, and purchase history to personalize post-transaction messaging.

For instance, the “Persona/Auto” industry tab has a taxonomy for “Auto Class” which leads to an option to target owners of specific car makes and models. You could create a geofencing parameter to target visitors to particular car lots or repair stations and send messages about service reminders or purchase anniversaries under one of many taxonomies in the “Shopping/Vehicles” industry tab.

There is no shortage of data available to interested advertisers, but having a strategy that includes the ability to identify your audience and place yourself in their path at every section of the sales funnel will exponentially increase your chances at winning their attention – and making the most of your marketing budget.

Building your own custom audiences allows for the type of focus and flexibility that gives your agency an edge over competitors. Learn how BDEX data can strengthen your strategy.

Using BDEX to Navigate Digital Transformation on bdex.com

Using BDEX to Navigate Digital Transformation

Whether your organization’s MarTech integration efforts are going smoothly or have created a Frankenstein stack, BDEX has the third-party data solution it needs.

Global CMOs are getting stretched thin these days. On top of their traditional mandates of lead generation and brand building, they are being asked to find and implement technologies needed to extract marketing intelligence from the growing torrent of data their organizations produce each day.

The complexity and dollars involved in this digital transformation make it a high-risk/high-reward undertaking. CMOs who succeed stand to create powerful data marketing platforms, turbo charge their real-time personalization efforts and gain a step in the MarTech arms race. Those who fail, risk squandering millions of dollars in resources creating what the industry has lovingly come to call a “Frankenstein stack.”

Nearly all – 96 percent – of respondents to the Marketo 2017 Marketing Benchmark Report agreed that the task of finding and integrating MarTech solutions can distract CMOs from their primary mission of helping acquire and keep more customers.

Such is the price we pay when it comes to learning how to implement new technologies, and indications are that global brands are still in the early days of their digital transformations. CMOs, it would appear, will have to keep tabs on multi-million-dollar, multi-year IT integration projects on top of their day jobs for years to come.

Where BDEX comes in

The good news is that thanks to BDEX, CMOs and the brands they represent don’t have to miss a beat during this tumultuous period. They can rely on BDEX to fulfill all their U.S. consumer data needs whether they are halfway through their digital transformation, have completed it or plan to forego it and continue relying on agencies and other vendors for marketing data.

BDEX can say this because of how we have integrated an unparalleled network of third-party data providers with an extremely robust ID graph and uniform taxonomy to power human connectivity.

The BDEX ID Graph

These all come together via the BDEX ID Graph, which tags all data signals coming in from our partners in real-time using a uniform taxonomy that spans more than 5,500 tags and 500 industries. This enables us and our customers to query nearly a trillion real-time data signals from more than 70 data providers using the same taxonomy.

On top of this, the BDEX ID Graph constantly reviews logins, app downloads, credit card purchases, and other authenticated real-time signals to make sure the incoming data signals are matched to the right Customer ID.

We do this by building one of the industry’s largest cross-referenced libraries of email addresses, mobile device identifiers, browser cookie IDs and U.S. Postal addresses. Our library spans 800 million mobile-to-email ID and cookie-to-email matches. If someone upgrades from an iPhone 8 to a Samsung 10 or switches from a Google Pixelbook to a Microsoft Surface, the BDEX ID Graph detects it the moment the user downloads an app or logs into an authenticated account tracked by any one of our data partners.

Our use of authenticated identifiers enables 100 percent deterministic cross-device matching, which means you can have 100 percent confidence our ID graph is assigning billions of incoming data signals to the appropriate Customer ID.

The BDEX DXP

Thanks to the BDEX ID Graph and our uniform taxonomy, the BDEX Data Exchange Platform (DXP) presents 290 million consumer identities, 1.3 billion email addresses and more than 900 billion data signals in a highly searchable database.

You can peak under the hood and get a sense of how broad and deep our data is using Explore BDEX Taxonomies, our free and highly intuitive taxonomy tool.

API or batch-mode access

Thanks to our uniform taxonomy, querying this massive database is quick and easy. You can match IDs instantly (10ms response time) using a real-time API query or upload ID lists via batch mode and have IDs returned in hours.

Custom segment building

Either way, you can harness real-time data signals to build or enhance custom audience segments for programmatic advertising, personalization and other projects.

The BDEX DXP provides access to hundreds of pre-built audiences uploaded by our partners. You can use these to fast-track your own audience-building efforts or use them as is until you whip your own MarTech stack into shape.

Whether your organization’s MarTech stack ends up humming like a Lamborghini or shrieking like Frankenstein, or your organization opts to continue relying on agencies and other external vendors, it’s going to need access to third-party data. You’ll be hard-pressed to find a better one-stop shop for that than BDEX.

To learn more about how BDEX helps marketers maximize ROI, visit the BDEX solutions page.

When Your Audience Doesn’t Reflect Reality: Big Data Audience Building

Marketers understand that you simply can’t build audience groups on pure demographic factors. After all, Prince Charles of England and rocker Ozzy Osbourne are both British males of the same approximate age. However, it’s safe to say that a marketing message tailored for Ozzy wouldn’t necessarily convert the heir apparent, Prince Charles. Consumer preferences, motivations, and needs play a critical role in purchase decisions.

It’s clear that audience groups must be more sophisticated than demographics. Even deep demographic factors like income or family status don’t tell the full story. As Harvard Business Review’s (HBR) highlights, the sorts of audience groups that convert are rarely “created.” Instead, they’re “uncovered” through data analysis that incorporates behavioral clues from cookies, web analytics, user-generated content, and other big data sources.

Why Your Audience Groups aren’t Converting

Despite the fact that marketers understand what’s required to build audience groups, too few brands have segments that reflect reality. Information Week recently wrote about some of the “perils” of big data analysis biases, which can include:
● Selection Bias
● Inclusion of Outliers
● Overfitting and Underfitting
● Confirmation Bias
The term “data scientist” is ultimately accurate. To accurately understand patterns in reality, marketing teams must leverage enormous amounts of data to control against faulty results. If your big data audience segments are based on false positives from too-small or incomplete data sets, you could be suffering as a result. In one anonymous case study detailed by Information Week, a brand’s profit margin decreased significantly as a result of audience groups’ creation that didn’t control for bias.

Do You Trust Your Audience Analysis Methods?
Many marketers have developed some level of big data fluency. They understand some common analysis methods used to develop audience groups, such as clustering or linear analysis. Undergraduate studies of statistics has leant familiarity with concepts like sample size and statistical significance. An abundance of easy-to-use analytics tools allows marketers without extensive technology backgrounds to perform complex analyses in a point-and-click environment. However, a lack of big data resources has forced many marketing teams to rely on pre-formed audience groups from 3rd party vendors that are questionable in accuracy.

One large-scale study by HBR indicated that some 85% of product launches fail because of poor segmentation methods. Ineffective segmentation can have a significant impact on your brand’s profitability and outcomes. If you’re reliant on pre-packaged audience groups that you’ve purchased from a 3rd-party vendor, it’s likely time to refresh your segments. Join us as we review a new approach to building audience groups that convert.

1. Form Segment Hypotheses
Big data analysis for the purpose of segmentation is inherently scientific. The first step is to develop hypotheses about your segments. Based on what you know about your segment, you can develop a framework for analysis.
To avoid the risk of confirmation bias, your hypothesis should be based on known variables and goals. It could resemble the following statement:
Individuals who are seeking a mortgage for a second home are often 30-50 years
old with an income of $100,000 or more per annum.”
A correctly-formed hypothesis serves to narrow your analysis, while still providing room to discover behavioral and motivational insights.

2. Obtain and Combine Data
By participating in BDEX’s  Data Exchange Platform, marketers can gain immediate access to billions of data points in real-time. Marketers have the ability to set their own budget, and access insights on web behavior, preferences, and transaction history on consumers that match their existing contacts. Depending on your campaign goals and objectives, you can also opt to obtain contact information for additional prospects that match your goals and objectives. By connecting BDEX’s marketplace with your data management platform (DMP) tool, you can gain immediate access to fresh data insights.

3. Analyze
Effective marketing segmentation today has little resemblance to the mass marketing messages of yesterday. By obtaining third-party insights, you can gain a comprehensive understanding of how your contacts behave. This can lead to an understanding that your buyers prefer self-guided product research, are likely to have two children, or other rich factors that reveal segmentation without bias.
By allowing big data to form your segments without bias, you can avoid the risk of inaccurate results. BDEX’s open marketplace forum allows analysis with minimal risk of bias, due to the sheer volume of available insights.

4. Launch Advertising
Once you have developed rich, up-to-date and accurate market segments, you can launch advertising to connect with your audience groups. Instead of relying on months-old segments created by a third-party vendor, your marketing team has the power to continually test, iterate, and improve your audience groups.

For more insights on the power of real-time targeting for marketing initiatives with BDEX, click here!

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5 Incredibly Costly Big Data Marketing Mistakes

Low-quality big data assets can lead to incredibly costly marketing mistakes. Research by Experian indicates that low data quality has a direct impact on revenue for 88% of modern organizations. Average losses are approximately 12% of revenue. For organizations who are shifting towards data-driven marketing and customer experiences, low-quality data can lead to costly mistakes.

How Bad is the Average Marketing Big Data?
Per eConsultancy, 22% of information on contacts, leads, and customers contains inaccuracies. Perhaps most concerning, the average organization’s quality index is headed in the wrong direction. Twelve months ago, the average inaccuracy rate was just 17%. Incorrect data can have a real impact on your team’s ability to build segments, understand behavioral triggers and preferences.

In contrast, organizations with a high degree of data accuracy are more likely to appreciate:
● Efficiency
● Cost-Savings
● Customer Satisfaction
● Informed Decision-Making
● Protection of Brand Reputation

Poor-quality or old customer data can lead to a series of costly marketing mistakes. Join us as we review some devastating errors that can be directly attributed to inaccurate customer data.

1. Low Advertising Conversions
Low conversion rates on programmatic advertising is a symptom, not an issue. Poor click-throughs and conversions can be attributed to a lack of mobile advertising, poor segmentation, irrelevant data, or other factors. However, far too many marketing teams fail to take appropriate action in response to low advertising conversions. Instead of working to improve the breadth or quality of data, they continue generating ads. Before running more ad campaigns, marketing teams should take appropriate action to ensure they can achieve better returns.

2. Inconsistent Brand Experiences
Without accurate or up-to-date data, your brand communications could send the message that you don’t know your customers. You may generate programmatic advertising for products your customers already own. You could send an email blast for baby products as their children are approaching preschool age.  Marketers need to actively combat a brand experience that’s inconsistent with a customer’s needs and activities. If you miss the mark repeatedly, you’ll struggle to build customer loyalty and sales.

3. Poor Email Deliverability
The average return on investment (ROI) for email marketing at mid-sized organizations is 246%. However, organizations have the potential to significantly exceed these benchmarks with appropriate timing, segmentation, and other big data-driven activities.  Email communications to outdated contact lists have the potential for a high bounce rate, or percentage of emails that are undeliverable. Email segmentations that are vastly inaccurate could also increase your risk of being pinged as spam. In the mind of a consumer, spam is simply “unsolicited bulk email.” If your messaging is irrelevant or feels too much like a mass communication, it’s likely unwelcome.

4. Mobile Neglect
Far too many big data marketing strategies are focused on desktop advertising, email receipt, and experiences. In reality, consumer behavior demands mobile marketing. As of 2015, adults now spend more time engaged with mobile devices than desktops, laptops, and other connected devices combined.  There’s a good chance that, at least 50% of the time, your desktop-optimized advertising is consumed on mobile devices. This can lead to poor user experience (UX) and returns on investment.

5. Poor Verification Methodologies
All too often, major brands go viral for all the wrong reasons. Poor data verification can lead to mistakes that are embarrassing, insulting, or even hurtful to their loyal customers. OfficeMax sent coupons addressed to “Mike Seay, daughter killed in car crash.” The addendum to the customer’s name was unfortunately true. The company ultimately issued a public apology to the customer.   Manual data verification processes are rarely effective in the big data age. Fortunately, using a data management platform (DMP) or another tool to perform quality checking against 3rd party data can eliminate much of the risk of similar mistakes.

If your organization’s data quality is average or below average, you’re at risk for many of these expensive marketing mistakes. By taking the appropriate internal steps to improve your quality standards, you can improve the ROI and impact of your marketing efforts.

BDEX offers high-quality, real-time big data assets from trusted 3rd party vendors to safeguard against low-return marketing investments. By downloading the right data resources directly into your DMP, you can improve the accuracy of your customer records, gain deeper insight into your buyers, and build better segments.For more information on becoming a BDEX buyer or seller, click here.

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4 Ways Third-Party Data Can Generate Lift in Your Marketing Results

Marketers may be hesitant to invest in third-party big data insights due to poor reputation. Digiday blasted the products of many big data vendors as “cheap, plentiful, [and] inaccurate, citing cases 30-35% inaccuracy rates discovered through validation testing. However, even the most outspoken critics of third-party data admit that not all vendors are equal, and marketers can drive desired results if they don’t trade “accuracy for scale.”

With the right vendor, third party big data can be a crucial tool for generating lift in marketing results. The proof is in the meteoric growth of programmatic advertising, in which results are largely dependent on data quality and scale. Perhaps more importantly, marketers must remember that third-party data purchased from outside parties isn’t a new concept.

Marketing teams have bought insights for decades as a tool for tailoring print advertising and direct mail campaigns. While the best advertising formats and data scale have changed, the importance of outside perspective hasn’t. Join as we review reasons why validated, high-quality third party data assets are crucial to marketing results.

1. Third-Party Data Can Be First-Party Data
Third-party that generates poor marketing results or contains vast inaccuracies is usually far-removed from it’s source. It was purchased from the organization who originally collected it months prior, scrubbed, categorized, and distributed.  However, with BDEX’s data marketplace, your team can purchase data from first-party sources in real-time. Instead of relying on aging insights or questionable segments, you can combine your data with another organization’s first party insights, resulting in far broader contacts and understanding.

2. Third-Party Data Introduces You to New Contacts
While emails, mobile, and programmatic advertising are important tools for customer retention, marketers are in the business of acquiring new customers. The goal of a marketing department is to attract people who resemble your most qualified customers.  Third-party data can function much like the contact lists or leads marketers may have purchased in the past. With exclusive partnerships, you can gain access to the email addresses of pre-qualified consumers who are actively looking for your product or services.

3. Your Data isn’t Validated
Third-party data assets from trusted vendors can reveal uncomfortable truths about your organization’s data quality. The most commonly reported data management challenge is resolving quality problems “before they become an issue.” Even if your organization has above-average data management practices, there are likely inaccuracies in your contact profiles. By reconciling your insights in a data management platform against a third-party vendors, you can perform validation and cleansing actions needed to maintain accurate information.

4. Your Touch Points aren’t the Full Picture
Even if your organization engages in extensive first-party data collection practices, you’re probably not getting the full picture. Your insights are limited to what you’re able to collect through Cookies, user-generated web content, and customer touch points.  If you’re in the finance industry, you may not know that your customer is expecting a child. If you’re in real estate, you may not know that a client is actively planning for retirement. In order to understand your consumers on an individual level, third-party insights are typically necessary.

Ideally, third-party data has the potential to elevate your team’s insights through validation and the addition of well-rounded insights. Instead of relying exclusively on your own touch points, you can gain insights from other organization’s data collection practices.

BDEX is a first-of-its-kind marketplace, offering marketing teams the ability to connect directly with first-party data vendors in a variety of industries. Buyers gain the ability to access objectively-scored, real-time insights, which can be downloaded directly into your data management platform (DMP) to immediately begin generating marketing lift.

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