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

How We Put Marketers in the Driver’s Seat
January 23, 2019| | in category Analytics, bdex, Big Data, business, buy data, daas, Data Exchange Platform, data marketplace, digital marketing, direct mail targeting, Email Marketing, email retargeting, First Party Data, in-market data, Internet of Things, IT, location-based data, Mobile Marketing, Real Time Data, sell data, Thick Data, Third party Data, Web Design, Web Hosting, website re-targeting Comments Off on 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 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.

Retailers – The 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.

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

Using the BDEX Taxonomy Tool to Find Insurance Prospects
January 16, 2019| | in category Analytics, bdex, Big Data, business, buy data, Data Exchange Platform, Data Industry News, data marketplace, direct mail targeting, Email Marketing, First Party Data, in-market data, Internet of Things, location-based data, Mobile Marketing, Real Time Data, sell data, Thick Data, Third party Data, Web Design, website re-targeting Comments Off on 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.

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Big Data Trends to Watch in 2019 on bdex.com

Big Data Trends to Watch in 2019
January 9, 2019| | in category analysis methods, audience groups, bdex, Big Data, business, buy data, Data Exchange Platform, data marketplace, Data Vendors, direct mail targeting, Email Marketing, First Party Data, General, in-market data, Internet of Things, location-based data, Mobile Marketing, Real Time Data, Thick Data, Third party Data, Web Design, Web Hosting Comments Off on 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.

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The Value of the BDEX ID Graph on bdex.com

The Value of the BDEX ID Graph
December 26, 2018| | in category analysis methods, audience groups, bdex, Big Data, business, buy data, Data Exchange Platform, data marketplace, Data Vendors, direct mail targeting, Email Marketing, First Party Data, General, in-market data, Internet of Things, location-based data, Mobile Marketing, Real Time Data, Thick Data, Third party Data, Web Design, Web Hosting Comments Off on The Value of the BDEX ID Graph

How our ID graph uses deterministic matching to power human connectivity

One of the great ironies of digital marketing in recent years has been that device proliferation has actually made it more difficult to market to people. Cisco recently estimated that on average, there will be 13 networked devices per person in North America by 2021. Most Americans already use cable modems, wireless routers, smartphones, tablets, laptops, and smart TVs at home and millions will add voice assistants and connected appliances in the coming years. And that’s just at home. Many also shop from the office using desktops or from the field using work-issued mobile phones.

If you don’t know how to connect cookies, mobile IDs and other device IDs to a Customer ID, how can you chart your customer’s path to purchase? How do you know whether you are reaching 13 people or just one switching between multiple devices? How do you know whether you are squandering your advertising budget?

Enter identity resolution

The answer is “Identity resolution,” which can enable brands to control who gets what message with much more precision. Consider cable television companies who want to offer discounts to entice new subscribers without alienating existing subscribers. Identity resolution could help them suppress their ads to existing customers.

This is why Forrester Research declared identity resolution the next battleground of corporate marketing in a recent report called “The Strategic Role of Identity Resolution.” It’s also why BDEX has built the most comprehensive, accurate and up-to-date Identity Graph, or ID Graph,  in the industry.

Of course, as MarTech Today explains, not all ID graphs are created equal.

Deterministic matching

At BDEX, we’ve built ours using deterministic matching, which uses authenticated customer information, such as anonymized log-in data, email addresses, and credit card purchases to match and recognize individuals regardless of which device they are using. For example, if someone uses their email to download an app or log into a website using a new iPhone, our ID graph knows to attribute that device to the Customer ID. This allows BDEX to assure customers that our device matching is 100 percent accurate.

By contrast, many ID Graphs use probabilistic matching, which calculates the probability of a user being connected to devices based on IP address, device type, browser type, location, operating system, and other data signals. While it can be used to analyze more data more quickly, probabilistic matching is not perfectly accurate.

The gold standard of identity resolution

Many deem deterministic matching the gold standard of identity resolution and at BDEX we consider ourselves the gold standard of deterministic matching. Our data platform contains more than 800 million mobile-to-email ID connections thanks to more than 70 partnerships with app developers and other primary data sources.

This means you can send us a batch of Customer IDs and we will return a list of matching device IDs within hours. Our subscribing customers can query our ID Graph in real-time to see all the devices attributable to their target customers in milliseconds. They can match a single ID or all their IDs in a single query and pay only for the matching IDs returned.

BDEX manages more than 800 million mobile IDs, 1 trillion real-time data sets and 1.3 billion email hashes. That makes us the most comprehensive Identity Graph in the United States and explains why some of the biggest brands in marketing come to us for identity resolution.

Anyone can sell you data, but only BDEX can provide the identity resolution needed to power human connectivity and get the most out of your marketing dollar.

To learn more about how BDEX can help you with Cross-Device Matching email us at infor@bdex.com or just fill out our online contact form.

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2018 Year in Review. Data Overload on bdex.com

2018 Year in Review. Data Overload
December 14, 2018| | in category analysis methods, Analytics, bdex, Big Data, Buisness, buy data, Data Exchange Platform, data management platform, data marketplace, digital marketing, Direct mail, Email Marketing, email retargeting, in-market data, Internet of Things, location-based data, Mobile Marketing, Real Time Data, sell data, Thick Data, Third party Data, Web Design, Web Hosting Comments Off on 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

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The Future of Data Promises the Perfect In-Store Marketing Experience on bdex.com

The Future of Data Promises the Perfect In-Store Marketing Experience
November 28, 2018| | in category analysis methods, Analytics, bdex, Big Data, Data Exchange Platform, data management platform, data marketplace, digital marketing, Direct mail, Email Marketing, email retargeting, First Party Data, in-market data, Internet of Things, Mobile Marketing, Real Time Data, Third party Data, Web Hosting, website re-targeting Comments Off on The Future of Data Promises the Perfect In-Store Marketing Experience

Data-driven solutions taking shape on the shop floor will match gender, age, ethnicity, and shopping habits to what’s on offer now

The days of aimlessly wandering the store in search of a deal or a “you” item look to soon be over. Brick and mortar retailers are embracing the latest in data technology to recognize and serve visitors like never before. Device matching, real-time targeting, and even budding facial recognition tech are eroding the notion of searching for a new customer. It’s now possible to know someone who wants to buy the moment they walk in.

How real-time data provides the most actionable marketing possible

Speed of transmission and lack of detail were two old enemies of in-store marketing. They’re becoming obsolete in an era where almost the instant a customer expresses an interest in/buys a product, a retailer can be notified and be able to target that individual with relevant content.

How is this possible? Smart uses of data like device matching and geofencing are two methods which create a purchasing portrait of prospects across every major demographic. Device matching with BDEX allows retailers to market to consumers across multiple devices and channels as the data link a consumer’s search/purchase activity via mobile, email, social media, and other avenues.

Geofencing creates a data map of all the physical retail locations a potential prospect has visited. This is useful because it shows they’re actively and physically searching for an item or service. Internet browsing data is valuable, but geofencing further isolates a consumer who’s actually visited a certain type of business. This is one of the reasons why BDEX data can drive and support in-store marketing so effectively.

We repeatedly test our data to authenticate its accuracy and currency to sidestep the pitfalls of outdated or “too broad” data – and we enable our customers to buy only the data they need. Our tailored approach allows retailers to create a dynamically-informed marketing effort that never sleeps. Actionable prospects can be marketed to in their home, via their mobile device on the go, and even when they visit your location.

The latest in-store marketing is a customer service gold mine

When a prospect has entered a store, data has the potential to really close a sale. Modern digital signage can be updated on a single screen or storewide to display offers relevant to specific viewers. Imagine a scenario where a prospect checks in and you know exactly whom is watching your in-store screen – and precisely what they’d been browsing only an hour before.

Interactive digital displays provide the same tactile satisfaction as customer cell phones or other touchscreen devices. In fact, this in-store marketing sector is set to exceed $20 billion by 2024. Nevertheless, all the digital signs in the world are just flashy eye-catchers without being powered by actionable data.

Who’s marketing in-store and why it’s working

Ralph Lauren has integrated in-store digital into their changing rooms to powerful effect. Embracing this kind of innovation has provided real-time data on customer purchases (or lack thereof) and tripled their sales forecast while increasing customer engagement by 90%. McDonald’s is realizing the potential of onsite touch screens as an alternative to face to face orders. They’re also reviewing cell phone ordering, along with other chains that have successfully implemented the technology.

The supermarket sector (including the Walmart brand) understands how data is vital to staying competitive. They’re using it to engage in-store customers in a personal manner. The retail giant has even registered multiple patents to take their data-driven marketing into the future, an effort that sees them calculating 2.5 petabytes of data … every hour!

Clearly, the potential for data-driven in-store marketing is vast. Customers engaged by relevant, real-time data will interact further with your brand, providing even more data to enrich your understanding of that customer’s needs and build a lasting relationship. Current and future technology will allow stores and customers to connect at every point on the retail journey – from first thought to final checkout.

BDEX is the first-ever Data Exchange Platform (DXP). The BDEX DXP and DAAS platforms enable companies to acquire impartial, quality-scored third-party data reaching the right people at the right time. You can call at (917) 410 – 6616 or email us at info@bdex.com

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