MarTech M&A Accelerates on bdex.com

MarTech M&A Accelerates

Could the big surge in MarTech deals last year signal the end of one wave of consolidation and the beginning of the next? Either way, it’s clear brands are more focused on harnessing data to connect with customers than ever.

In a synopsis of 465 mergers and acquisitions that took place in the advertising and marketing world last year, the consulting and publishing firm R3 Worldwide concluded that the consolidation that swept through the agency world in recent years finally spilled over, into and around the MarTech stack.

R3 estimated global M&A spending in the industry rose 144 percent to $33 billion in 2018 but noted that only 20 percent of transactions completed involved a global holding company. The overwhelming majority of growth came not from a global holding company acquiring an agency but from what R3 dubbed “unconventional buyers” targeting MarTech companies.

“M&A activity in 2018 signaled that the grand view of MarTech is becoming actualized and 2019 will be about how companies move beyond facilitating the intersection of marketing technology and management to real integration into the enterprise,” Greg Paull, principal and co-founder of R3, wrote in the report.

The activity is being driven in part by global CMOs, who after years of experience with digital marketing are opting to bring more expertise and technology in-house in a bid to extract more value from their own data and streamline sprawling – and often less-than-transparent – marketing supply chains.

Consolidation hits the MarTech Stack

In terms of targets, personalization remains front and center, as evidenced by Walter J. Thompsons merger with Wunderman. The two companies said they combined to create a one-stop, data-driven creative shop capable of meeting the needs of global brands.

“We already share many core clients, who will now have simpler access to our combined expertise,” the companies said in a joint statement announcing the merger. “And, as technology reshapes marketing, we have existing partnerships with Adobe, Amazon, Google, IBM, Microsoft, Salesforce, and SAP.”

Adobe spent $4.5 billion to acquire Marketo, while Salesforce.com acquired Cloudcraze in deals each company said was aimed at bringing MarTech to the lagging B2B sphere. Forrester predicts that U.S. B2B commerce will grow from $889 billion today to $1.2 trillion by 2021.

“The imperative for marketers across all industries is a laser focus on providing relevant, personalized and engaging experiences,” Adobe’s Executive Vice President and General Manager Brad Renche said of the $4.5 billion deal to acquire Market0. “The acquisition of Marketo widens Adobe’s lead in customer experience across B2C and B2B and puts Adobe Experience Cloud at the heart of all marketing.”

Salesforce also gobbled up Mulesoft to help companies unlock data across legacy systems, cloud apps and devices; as well as Rebel, which allows brands to “turn emails into an extension of their website or app – collecting data, removing friction from the conversion process, and enhancing the customer experience.”

Smaller, but potential seminal deals included Singapore-based InMobi’s decision to acquire Reserve for $90 million and as part of its plan to launch the world’s first, largest and most transparent in-app and video programmatic exchange.

What do these M&As signify for the industry?

The deals signaled an acceleration of consolidation in the MarTech space being driven in large part by global CMOs eager to rationalize their marketing supply chains. Clearly, investors have heard their plaints and are rushing to stitch together companies that can provide integrated solutions spanning the entire length of the customer journey from content marketing to programmatic advertising, check out and customer loyalty programs.

The quest for ever deeper levels of personalization was apparent in both the Adobe and the Wunderman Thompsons deals, which hinge in part on the bet that data can be used in new ways to not just automate marketing but inspire creativity.

The BDX data difference

The one thing all these deals have in common, of course, is that they will either add to the volume of third-party data or rely on it to succeed.

As one of the world’s first data exchange platforms, BDEX stands ready to help marketers access the best of that data as inexpensively, quickly and easily as possible. Our 100 percent deterministic cross-device matching and a uniform taxonomy spanning more than 5,000 industry categories enable us to verify and aggregate more than 900 billion data signals generated by tens of millions of U.S. consumers in real time.

We do this so marketers can focus more on marketing and less on scrubbing data – or who owns which layers of their marketing stack.

Why not call 917-410-6616 or contact us today to see how BDEX is building the infrastructure for human connectivity that can help take your personalization, real-time targeting and other marketing initiatives to the next level.

10 Reasons Programmatic Keeps Rolling on bdex.com

10 Reasons Programmatic Keeps Rolling

The expansion of programmatic advertising into the TV, out-of-home and other channels will only increase the need for reliable, real-time, third-party data.

It’s only natural that programmatic advertising has become the driving force behind digital display ads and is now spreading rapidly to out-of-home, television and other channels.

After all, the ability to put your message in front of a person based on what they are doing that moment has long been the Holy Grail of marketing. We may not be there yet, but we are dramatically closer than five years ago and getting closer every day thanks to the MarTech boom.

Not too long ago, online display advertising remained a labor-intensive process that required a request for proposal (RFP), negotiations back and forth between representatives, and manual insertion orders. Programmatic advertising simplifies the process through an automated process that enables computers to use data to decide which ads to buy and how much to pay for them based on real-time data signals generated by millions of connected devices. Generally, brands or their representatives use what is called a demand-side platform (DSP) to choose which ad impressions to buy and how much they should pay, and publishers use a supply-side platform (SSP) to offer ad space.

Programmatic technology was developed as a way for publishers to sell their limitless online ad space but has rapidly expanded its share of ad spending as buyers and sellers recognized the value in such an efficient and productive system.

Today, approximately four out of five digital display advertising dollars are spent on programmatic advertising. By 2020, it’s forecast that 86.3 percent of digital display ads will be served programmatically. That includes everything from online display ads, to messages on electronic signs and billboards, audible search results and video ads.

In some way, programmatic advertising is just getting started, according to Digilant, which recently published a Top 10 Programmatic Media Buying Trends infographic for 2019. Below we share their list with some annotations of our own.

Voice Marketing: The rise of smart speakers has created a new frontier for relaying brand messages. With over 56 million smart speakers sold in 2018, advertisers who are interested in being the front runner of this new medium are already re-defining their digital strategy.

Programmatic Television: With more people viewing television via smartphones, laptops and smart TVs, programmatic technology is poised to transform TV advertising. According to eMarketer, U.S. advertisers are on track to spend $3.8 million on programmatic television ads in 2019 – a number that will continue to rise as agencies and brands become more acquainted with the process and familiar with the results. Marketers can take advantage of this valuable insight today through BDEX, which has data on the viewing habits of tens of millions of consumers.

Audio Advertising: Weekly podcast listeners listen to podcasts for six hours a week on average and comprise 17 percent of the U.S. population, according to MusicOoomph.com. With 100 percent deterministic cross-device matching from BDEX, you can capture what your target customers are listening to add resolution to your customer profiles and or target them via programmatic advertising.

Social Media Shopping: Making purchases directly through Instagram and Snapchat is a growing trend. Twenty percent of Snapchat users are more likely to make purchases after engaging with a shoppable ad seen on the app.

Digital Out of Home Ads: Electronic billboards, signs, and display boards have been steadily increasing in popularity due in part to the ease of automated ad buys. Targeted Digital Out of Home advertising can help drive ticket sales and store visits, increase app downloads and online engagement, and raise awareness of products, events, and services.

Artificial Intelligence in Media Buying: Using algorithms derived from data and online behavior can help optimize your media buying strategy. Four in 10 advertisers are currently utilizing AI to help target prospective consumers more effectively in a way that increases their return on investment.

Fewer Platforms: Agencies have been consolidating media and DSP partners for ease of use and reduction of the ad tech tax. Using programmatic advertising streamlines media buys in a way that benefits brands and ad sellers alike.

Cost Transparency: Having a full understanding of the cost breakdown is important to ad buyers. Agencies are pushing for more transparency when it comes to fees, which makes it easier to evaluate the risks and rewards of committing to an ad buy.

Adding In-House Talent: More CMOs plans to bring programmatic skills in-house – a sure sign they will be upping their spend.

More In-House Agencies: According to Forrester’s “In-House Agency Forum” survey, more brands will be bringing their media in-house, with 64 percent of respondents stating that they will be using in-house agencies in 2019.

The role of third-party data

Marketers that don’t commit to programmatic advertising risk falling further and further behind a trend that is destined to enhance personalization, improve the customer’s brand experience and increase marketing ROI. Yet many are still resisting the technology because of bad experiences they have had with third-party data and/or because they lack the substantial in-house resources needed to vet, cross reference and use it. These concerns are exactly what inspired the creation of the BDEX Data Exchange Platform, or BDEX DXP.

Thanks to more than 100 partners, BDEX analysts can search more than 900 billion data points on tens of millions of U.S. consumers across 19 categories of shoppers and more than 5,000 other categories to help marketers fine-tune their real-time marketing. The platform has been designed from the ground up to save marketers time and money while supercharging their campaigns.

Dozens of global brands, retailers and agencies have been using third-party data vetted, cross-referenced and categorized by BDEX to power their programmatic advertising for years.

Whether you are looking for help launching your first programmatic campaign or a more reliable source of real-time data for your next one, you owe it to yourself to contact BDEX today to see how we can take your marketing to the next level.

Real-Time Data Is Getting Real Important Really Fast on bdex.com

Real-Time Data Is Getting Real Important Really Fast

One the most important steps to launching programmatic advertising is ensuring access to comprehensive, accurate and accessible real-time data. After all, when it comes to data marketing, it’s garbage in, garbage out.

As programmatic advertising and other types of real-time marketing become more widespread, having 24/7 access to accurate real-time data is going from a nice-to-have to a must-have for global CMOs.

Even the World Federation of Advertisers (WFA), which has been pushing the ad tech industry for greater accountability on behalf of global brands, estimates its members spent 28 percent of their digital media budgets on programmatic advertising in 2018. That was up from 17 percent in 2017 and 9.5 percent in 2014, according to WFA membership surveys.

Real-time marketing allows brands to serve the right content to the right person on the right device at the right time to help close the sale or move the consumer further down the sales funnel. This is made possible by real-time analytics and ad server technology that enables brands to respond in milliseconds to signals consumers send during their omnichannel journey.

Concerns about transparency and GDPR notwithstanding, brands are reporting tremendous lifts in traffic, open and conversion rates from programmatic campaigns.

Office Depot was able to increase revenue $6.9 million in four months by personalizing content on its product detail pages, according to personalization software maker Monetate. A luxury travel site was able to increase email sign-ups and catalog requests 8 and 3.6 percent respectively by using Monetate to personalize content for visitors to its web site.

In the United Kingdom, the wireless carrier O2 used usage, device and location data from customer’s mobile devices to show them the trade-in value of their devices, the best upgrade deals available and what customers like them generally preferred upgrading to, reports GlobalWebIndex.com. The result: a 128 percent lift in click-through rates.

The next wave

Real-time marketing continues to evolve right alongside human behavior, which has shown an amazing ability to adopt new technology. Less than five years after Amazon introduced Alexa and began shipping the Echo, more than 66 million smart speakers have been in installed in the United States, including 30 million installed in 2018. To get a sense of the dizzying pace of adoption, check out Voicebot.ai’s Voice Assistant Timeline.

Given predictions that half of all searches will be voice searches by 2020 and that only 8 of every 100 will request audible-only search results, this has huge ramifications for programmatic advertisers. Imagine, for instance, that you have an opportunity to serve the lone audible search result to a consumer who has commanded Alexa to “read me” the results of their voice search for “the most fuel-efficient 2019 SUV model.” How valuable would that be to your business?

One study estimates American consumers purchased $1.8 billion in goods via “voice commerce” in 2017 and forecasted that number to grow 20 fold by 2022.

Nearly one in four (37 percent) new smart speaker owners surveyed for The Smart Audio Report in July 2018 Research said they used it for pre-purchase research.

“This begs the question of how many product sellers are actually ready to serve up information in response to voice queries about their product or category,” Voicebot.ai Editor and Publisher Bret Kinsella wrote at the time. “The answer is very few.”

Garbage in, garbage out

While it will take years to sort out the ideal formats, pricing and attribution models for “read me” voice search ads, forward-thinking advertisers, agencies, publishers and Ad Tech companies are already using the BDEX Data Exchange Platform (DXP) to tap voice search and other real-time data signals to improve their real-time targeting. Thanks to nearly 100 partners, the BDEX DXP contains nearly 1 trillion data points on tens of millions of U.S. consumers. More importantly for programmatic advertising, the BDEX ID Graph uses 100 percent deterministic matching.

This last point is critical because we believe the biggest challenge facing CMOs today is the poor quality of most marketing data. We spent the last five years building a data infrastructure to provide the data brands and retailers need to know and serve their customers better. Today nearly 100 partners contribute data to our DXP.

At BDEX we call this building the “data infrastructure that powers human connectivity,” and we are convinced it will foster the highly personalized and inobtrusive brand experiences consumers want.

Surveys like Deloitte’s 2018 Ad Blocking Report, show that the Ad Tech industry has so far fallen far short of delivering that experience.

BDEX is committed to building the infrastructure that powers human connectivity. Thanks to more than 100 partners, our the BDEX Data Exchange Platform (DXP) marketers can choose data from over 5,500 categories, including shopping, sports, health, recreation, and science. We have over 900 billion data points on U.S. consumers, with half coming from industry-leading sources like Acxiom and Neustar and half coming from real-time custom tags. Why not call BDEX today to see how we can help you launch or improve your real-time marketing.

10 Ways BDEX Helps Auto Marketers Reconnect on bdex.com

10 Ways BDEX Helps Auto Marketers Reconnect

Auto dealerships depend on customers returning for their vehicle servicing needs, but when warranties end, this can stop. Without the right customer data, efforts to reconnect fail from the start

The owner of a large automotive marketing company was recently discussing how bad the data he was receiving really was. He bought a list of leads based on bank information or expired leases, but the first 50 phone numbers he dialed were either no longer in use or being used by someone else. The numbers were no good.

“My data sucks,” he told Warren Miller, vice president of business development/automotive for BDEX. “I was told to call you guys because I hear you have something nobody else has.”

Accurate, comprehensive data is the lifeblood of the automotive industry, not just because there is so much competition for new car buyers, but because customers often stop bringing in their cars for servicing once their manufacturer’s warranty expires. Given that the National Association of Automobile Dealers estimates the average dealership gets about half its revenue from the service department and a quarter from selling used cars, staying in touch with these customers is vital to today’s auto dealership.

By layering BDEX’s nearly 1 trillion real-time data signals over the dealership’s data, a marketing agency can find dozens of ways to reconnect with customers who have fallen off their client’s radar screen. How does BDEX do this?

First, unlike dealerships, BDEX ties everything to a unique customer identification number (Customer ID), rather than a VIN number. Second, we monitor real-time data signals from hundreds of millions of smartphones and use 100 percent deterministic cross-device matching, which means we can match customers in the dealership’s customer database to a Customer ID no matter how many times the individual has traded in their car, smartphone or changed their email addresses.

Not only is our data constantly updated it’s also far more comprehensive. Thanks to partnerships with more than 100 data providers, the BDEX Data Exchange Platform (DXP) can provide not just valuable clickstream data, but where a former customer has been servicing and fueling their vehicle, or what competing dealerships a prospect has visited recently. Today we have 8.5 billion data points in our Personal/Automotive dataset class.

“The results are just tremendous,” Miller said of the improved performance automotive marketers are experiencing with BDEX data. “That’s why we do so well. That’s why people love us.”

Here’s a look at 10 ways that marketers can use real-time data signals from the BDEX data exchange platform (DXP) to help dealers reconnect.

10 ways real-time data signals help dealers reconnect

1.  Tracking who’s visiting a dealership lot

A geofence is a perimeter of an area where you’re gathering data. Think of it as a virtual fence around a location that can be big or small, a whole city or a square foot. Or, your car lot.

The benefits of geofencing data are endless when it comes to marketing, especially for auto dealers. You can track who comes in and out of any dealership lot and follow up with them afterward or send them a targeted ad.

2.  Tracking courtesy vehicles

When a customer needs alternate transportation while his or her vehicle is in the shop, you can track the courtesy vehicles you loan them. This allows you to see when they enter or exit your lot, and if they’re visiting competitors’ lots.

3.  Tracking after-market service station visits

POS data, or purchase data from cash registers, allows you access to customers who have visited after-market service stations for oil changes or other services or auto parts dealers. For instance, you could decide to mail a coupon for an oil change to car owners who just paid for an oil change at a Jiffy Lube.

4.  Tracking when customers’ leases expire

BDEX allows you to receive data about customers who are currently shopping for cars or those who have a car lease expiring soon. This means that they’ll likely have a new vehicle to bring in for servicing needs again soon.

5.  Sending alerts to participants at tradeshows

Geofencing can help you track customers who come to tradeshows, and you can connect with them immediately so they’ll be more likely to visit your booth.

6.  Contacting customers if they go to a competitor’s lot

Another big benefit of geofencing is that you can actually create a virtual fence around a competitor’s lot. This way, you can send ads or alerts to customers who are visiting those lots.

7.  Separating types of vehicles on your lot

To target marketing efforts even further, you can create a geofence around a portion of your dealership lot. This allows you to send ads for, say, SUVs when a customer is in an SUV section, or high-end luxury vehicles. And, you can do the same in competitors’ lots, which helps if you’re trying to reconnect with a past customer.

8.  What car brands customers buy

BDEX data can show you which brands customers buy, which allows you to target their specific wants and needs in a vehicle.

9.  Layering with clickstream data

Clickstream data, which is data from customers or potential customers’ computer, smartphone or other connected devices can provide valuable insight into where a prospect is in the sales funnel, including the class, brand, price range and option packages that interest them.

By layering clickstream data with the geofencing data that BDEX provides, you’ll have a much more accurate picture of where prospects are in the sales funnel.

10.  The type of gas or tire brands customers use

To better target your ads and messages, you can find out which types of gas or tires customers use by using POS data. Or, you can set up a geofence around certain brand service centers to get this information.

BDEX uses and monitors 900 million of these real-time data signals to identify and reach customers who are ready to buy. This data is important in recognizing where customers are in their path to purchase, allowing auto dealerships valuable insight into buying behavior.

Call Warren Miller today (937) 581-9390 or email him at warren@bdex.com to learn how BDEX can transform you automotive marketing.

How e Put Marketers in the Driver’s Seat on bdex.com

How We Put Marketers in the Driver’s Seat

BDEX has structured its business around customers’ needs from the beginning by enabling them to find and buy only the data they need and nothing more.

We’ve previously discussed how BDEX is not a typical data company, and one of the reasons for this is because we strive to give our customers the most useful and relevant data possible. But we also pride ourselves on offering the best service and support to everyone we work with. We accomplish this by taking a personalized approach that focuses on these areas:

Explore BDEX Taxonomy

We created Explore BDEX Taxonomy so you can explore our vast database, including nearly 1 trillion constantly refreshing real-time data signals at your convenience. This enables you to determine whether we have what you are looking for without having to pick up the phone to call us. Read more about how the BDEX taxonomy tool can be used here.

Custom data feeds

When you find what you are looking for – and we are very confident you will – you can schedule an exploratory consultation. BDEX data analysts will sit in on the call to ensure they understand how you define the key steps in your target customer’s path to purchase. We understand that you know your customers better than anyone, as well as the data signals that show they’re ready to buy. Our job is to translate that information into a data feed that meets your needs.

Omnisource IQ

The next step involves using our proprietary Omnisource IQ© process to scour billions of real-time data signals to determine not only which consumers are good prospects but exactly where they are in their path to purchase so you can decide whether, when and how to contact them. We do this with our unmatched, 100 percent-deterministic cross-device matching as well as data on what products consumers have purchased and visited from brick-and-mortar stores via point-of-sale systems and geofencing data provided by our more than 70 partners. Omnisource IQ© is our secret sauce and your secret weapon and its constantly being refreshed.

A subscription model

Most data companies are eager to please before you make a purchase, but once you do, their customer support can be underwhelming. Not BDEX. With our subscription model, you can get access to data whenever you need it and only pay for what you use.

If you need to reach people who live or work in downtown Pittsburgh who are actively shopping for a new home, you get to determine what “new” and “searched” mean using the BDEX Targeting Module.

If you are only interested in people who have physically visited specific subdivisions in the last month, there is no need to buy records on the thousands who merely searched for new homes on the web in the last month. This may sound a little complicated, but with an intuitive interface and many download options, we’ve made our service extremely easy to use.

Again, the feed we set up for you will constantly be updated with thousands of real-time data signals every month to provide you an authoritative view of your in-funnel customers. Our data experts can even set up automatic alerts based on criteria you select to notify you when an actionable selling opportunity arises.

Data as a Service

With traditional online advertising, you pay for every ad impression, as well as the data used for that impression. But with our Data as a Service (DaaS) solutions, you will get all of the data you need at one cost, and you can then upload your custom audience into almost any ad platform. At that point, you will be able to market to them and only pay for the ad impressions from then on. Instead of a cost per impression, we provide you with a fixed cost.

The bottom line

BDEX has structured its business around customers needs from the beginning in a bid to create a new kind of company. We know you know your customers better than we do. Our role is to help you connect with them with unprecedented precision by delivering the right insight into the right people at the right time so you can close the sale.  Our mission is not to just to sell data but to build a data infrastructure that powers human connectivity and we believe our success hinges as much on the quality of our customer service and support as our data.

This is why so many leading companies have chosen BDEX to fulfill their marketing data needs across so many industries, including:

Media – We help multi-platform media companies reach consumers on all their devices.

Franchises – We give franchisees the ability to find out who is visiting their competitors so they can convert those consumers into their own customers.

RetailersThe BDEX Targeting Module enables brands to select any data attributes, combine them, and select the quality, age and price of each and every data element.

Get in touch with BDEX today to learn how you can take your data marketing to the next level by connecting with consumers like never before.

Using the BDEX Taxonomy Tool to Find Insurance Prospects on bdex.com

Using the BDEX Taxonomy Tool to Find Insurance Prospects

A step-by-step guide on how to use our free, self-service taxonomy search tool to determine what data the BDEX DXP has that can help elevate your next marketing campaign.

At BDEX we pride ourselves not so much on the size of our haystack as our ability to help you find just the right needles for your marketing needs.

After all, if I’m a marketer I don’t care how big a database is if it’s filled with unreliable, irrelevant or dated information that can’t provide the audiences I need right now to boost conversion rates.

BDEX is a first-of-its-kind Data Exchange Platform (DXP) offering marketing teams the ability to connect directly with first-party data vendors in a variety of industries. That means our buyers have access to objectively-scored, real-time insights, which can be downloaded directly into their data management platform (DMP) to immediately begin generating marketing lift.

Of course, there are countless stories about marketers paying for shoddy data, so we have created Explore BDEX Taxonomy; an intuitive interface marketers can use to explore the nearly 1 trillion data signals contributed by our more than 70 vetted partners.  In an earlier post, we explained broadly how to use the BDEX taxonomy tool to find your ideal customers. In this article, we will walk through how an insurance marketer unfamiliar with the BDEX DXP might use the tool for the first time. We have bolded words used by the BDEX taxonomy.

Automobile insurance

Let’s say our user specializes in marketing insurance to owners of Foreign SUVs and wants to see how many target customers she can reach for $5,000.

She could start her search by typing “insurance” into the search box near the top of the page, which would return a list of 12 Available Industries with a Count, which stands for the number of data points available in each industry. A data point could be basic demographic information such as address, sex, marital status, and other household data, contact information, or real-time data signals collected via cookies and geofencing.  She would see that there are 13.4 billion data points available for Persona\Auto, 34.3 billion for Persona\Finances, and 10.0 billion for Shopping/Vehicles.

By selecting Persona/Auto,  she would populate the second drop-down menu to the right with 11 taxonomies, including Audience Class, Automobile Age, Automotive Class, Make\Model, Own or Lease, etc.

If she then selects Make, the third and last drop-down menu on the screen will load 40 models and the Count of how many Target Identities, or email addresses, mobile ID numbers or other identifiers –  are available for each one. By clicking on the Count column, she can sort the list by ascending or descending number of  Target Identities. This will show that BDEX has data on 14 million people who own or lease a BMW, 13 million who own or lease a Lexus or Cadillac and about 12.3 million who own or lease an Acura and or Mercedes Benz.

Automobile insurance on bdex.com

Audience class

This is interesting, but not particularly useful since our marketer is interested in all makes of Foreign SUVs, so she returns to the second drop-down menu listing the 11 taxonomies and selects Audience Class. This allows her to narrow her search by 135 other Values, or criteria. She can scroll down to HH Most Recently Acquired Foreign SUV and see that BDEX can connect her to nearly 4.2 million Target Identities that have recently acquired a foreign SUV.

Audience class on bdex.com

If our marketer is primarily interested in running targeted mobile adds, she can return to the first search field on the page and select Mobile (AAID)” and “Mobile (IDFA) from the drop-down menu and repeat her search.

BDEX Taxonomy Persona Auto Audience on bdex.com

That will show BDEX can connect her to of the nearly 3.5 million households above via either an iPhone or Android device.

BDEX Taxonomy Foreign SUV on bdex.com

Starting the search by selecting Email would show BDEX has email addresses for 3.5 million of the household listed above.

CPM estimates

She will also notice that Explore Industry Taxonomy updates CPM estimates based as the taxonomies selected to help the user determine how far her budget would go using the selected criteria. In the example above, she would see her CPM would range from $1 to $1.50 and average around $1.25. Given her budget, that would enable her to reach roughly 4,000 people who meet the selected criteria.

Persona/Home

In our next scenario, let’s consider a marketer looking to see how many high-end homeowners BDEX can connect them to nationwide. They could start their search by checking Email (MD5), Mobile (AAID) and Mobile (IDFA) typing in the first search field in the upper left-hand corner, searching for home” and selecting Persona\Home from the 42 Available Industries listed. This will produce 14  Taxonomies in the menu to the right, including Area Code, Audience Class, Dwelling Type, and Home Value.

If he selects Home Value, he will be prompted to specify a range of home values in the next menu. If he filters his search for homes valued between $750,000 and $5 million, he will learn that DBEX can provide 850,000 email addresses and 470,000 mobile IDs attributable to people who owns homes in that price range.

BDEX Taxonomy Persona Home Audience on bdex.com

If our marketer goes back to the Taxonomies screen and selects Audience Class, he can browse 272 audiences BDEX data partners have uploaded based on demographic and psychographic data, such as sex, age, generation, educational degree, expected graduation from college, and many, many more. If his ideal customer earned more than $200,000 a year, lived in or near a major city, was in their 40s and had children, he could select the High-income City Middle Aged Homeowners with Children audience and see it would cost him an average of $1.27 per thousand. He can opt to include or suppress personas who are already insured through one of the four largest home insurers (AAA, All-State, Farmers and State Farm.)

If he is focusing on a geographic area, he can get a count of personas by Zip Code, Area Code, State or City.

If our marketer sells renters’ insurance, he can start a search by typing “renter” into the Search field, then select Persona/Home from the three available industries that display and then select Audience Class to browse 272 groups created by BDEX. If he selects Middle-Income Suburban Younger Renters with Children, he can see BDEX has 45.4 million email addresses and mobile device IDs attributable to that audience.

At BDEX, we are confident the data we have aggregated from online searches, app downloads, geofencing, in-store POS purchases and other primary data providers we partner with will provide the context you need to take your marketing to the next level. Our Explore BDEX Taxonomy tool will enable you to confirm our claims. When you do, we hope you will contact us so we can begin collaborating. BDEX can often deliver a report showing the volume of data we have that meet your criteria, the size of the audience we can reach and total cost in a matter of days.