Getting the Channel Mix Right in Target Marketing on bigdataexchange.com

Getting the Channel Mix Right in Target Marketing
June 20, 2018| | in category analysis methods, Analytics, Big Data, Buisness, Data Exchange Platform, data management platform, digital marketing, Direct mail, direct mail targeting, Email Marketing, email retargeting, location-based data, Mobile Marketing, Real Time Data, Web Design Comments Off on Getting the Channel Mix Right in Target Marketing

The marketer’s channel-mix challenge across the digital landscape

Back in 2011, Google introduced us to a new marketing acronym. Zero Moment of Truth (ZMOT) is the moment where first impressions happen and the path to purchase often begins. Google explained that it’s a moment where information and marketing happen, and the consumer makes choices that impact the success or failure of nearly every brand in the world. Talk about the opposite of a “no pressure” moment.

Zero Moments of Truth happen. Nevertheless, many people aren’t going to remember the very first time they were exposed to a brand. “Ah, yes. It was a little after 3 in the afternoon on a Friday. I saw a mobile banner while I was checking the weather on my favorite app.”

That’s because it often takes more than the ZMOT to help a prospect overcome inertia and take the steps to become a customer. What leads to this conversion is a concerted effort to push recognition towards engagement. Often, we must be exposed to something multiple times for it to be stored in our long-term memory.

A marketer’s biggest challenge is to deliver an unbroken chain of impressions – on the right marketing channels to the right people – once the seed is planted with a Zero Moment of Truth. It’s a real-time pursuit across the digital landscape, and revenue from a customer is the prize.

Marketing by moments

There may be some steps unique to a particular industry, product, or service, but purchasing behavior generally has five predictable steps:

  1. Problem recognition: The path to purchasing starts when a prospect identifies their need or problem. Stop and read that again. It means that your ZMOT message should be focused as much on their pain point as it is your solution.
  2. Information search: A prospect will begin their search process in earnest now. They’ll look first for validation, perspective, and education about the problem – as well as how others have gone about solving it. The more complex the product or service, the longer this search will last. Think new car or real estate.
  3. Evaluation of alternatives: Do you stand out from the competition? Good. It still doesn’t mean a prospect will become your customer. This is the age of unlimited free search. Prospects want to be assured they’re about to make the right decision. The overarching solution here is to give prospects every reason to go with you.
  4. Purchase: Problem validated. Research completed. Ditto with the comparisons. Now it’s time to make the purchase decision. Marketing messages here usually revolve around a sense of security and value about the decision.
  5. Post-purchase evaluation: The transaction may have occurred, but the purchase is far from complete. A customer must now determine whether he or she is satisfied with the decision. So, another round of evaluation occurs, and brands must continue to communicate with these new customers to make sure they’re happy.

There have to be specific marketing messages delivered at one or more of these steps to encourage a decision to buy. Marketers must locate the right prospects as they take each step closer to deciding whether you understand their problem and offer the best solution.

Which channel keeps you by their side? That’s not the only challenge to conquer. It’s also necessary to consider the benefits and limitations of each channel. For example, SMS can be delivered instantly, has a higher open rate than any other marketing channel, and is extremely cost-effective. On the downside, you’ll have a limited message length and your choice of rich media is extremely narrow. Dynamically targeted banner ads have great targeting (these days) but could get lost in the mix during web surfing. Phone calls can be extremely effective but potentially invasive.

Some channels have a higher engagement rate, while others give you the opportunity of frequency. And not everyone uses all channels – so how do you follow a prospect along the path to purchase if they’re appearing and disappearing like the Cheshire Cat?

Fitting the puzzle pieces together

Marketers know they must be present in as many steps along the way as possible while the prospect is taking the buyer’s journey. There’s no pre-configured map since marketing channels have different characteristics. It’s up to you to determine the right mix so that you’re making the best impression when the prospect is ready to make a decision.

The first step in doing this in today’s complex media environment getting actionable, highly-targeted, real-time data that reveals exactly who is looking to buy your product or service – and which channels they use. BDEX can help you with that.

Find out how you can access real-time data that connect the dots, allowing you to reach prospects who are on the buyer’s journey.

BDEX features 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 like never before. We offer cross-device matching, auto dealership services, DAAS, real-time targeting, and custom segment building that is ideal for any industry, including auto dealers, retailers, brands, agencies, out-of-home, and franchises. Contact us today to get your customized marketing data.

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Marketing: When is as Important as How on bigdataexchange.com

Marketing: When is as Important as How
June 15, 2018| | in category analysis methods, Analytics, Big Data, Bussiness, Data Exchange Platform, data marketplace, digital marketing, direct mail targeting, Email Marketing, email retargeting, Mobile Marketing, Web Design Comments Off on Marketing: When is as Important as How

Powerful targeted marketing data identifies customers when they’re looking to buy

The success of any marketing campaign hinges on reaching the ideal target audience with the right message. And whether you sell vacuum cleaners or real estate, if you can’t target those who are most likely to buy your product, you won’t sell very many. Modern marketers and advertisers have traditionally used data that contains information about potential buyers’ habits to roughly predict that someone might be likely to make a purchase.

But those marketing and advertising professionals know that this data can be pretty vague. It can predict that a customer could be looking to buy in the future, but it doesn’t tell you when they are actively looking.

This is inefficient and expensive. And there is a better way.

Forget what a target audience might be looking for … talk to them when they’re actually looking for it

What would you do if you knew that “Craig Smith” was searching for a new car – and furthermore, the brand of a car within a certain geographic area? What if you knew that “Maria Gonzalez” bought a ticket to San Antonio two days ago and is searching for entertainment and dining options? What if you knew that “Emily Thomas” buys diapers online every other week?

If you own a car dealership, operate a restaurant or theatre in San Antonio, or you own an online business that sells baby products, you’d probably want to get in front of that potential customer. BDEX can help you do that.

The old way of analyzing customer data and predicting patterns

Conventional data collection looks at what people did in the past and uses it to predict what they may do in the future. The data will let you know that “Craig Smith” is about to finish paying off his car loan. Predictive analysis suggests that he might be interested in buying a new car. However, Craig may be just as likely to keep it in order to avoid making car payments. What if there are 10 million Craig Smiths out there? Not many of those individuals will shop for a new car. In fact, statistics might indicate that only about 10% of them will do so.

Before, advertisers were stuck having to market to those 10 million people anyway. With behavioral data from BDEX, you can narrow the list down and only reach out to the 1 million who are actively looking to buy.

How BDEX data is different

BDEX collects real-time data based on actual behaviors of customers. For instance, the data can tell you when someone has searched for a car on a place like cars.com. It can tell you if people have recently moved or put their house up for sale, while actively shopping for real estate. It can even track if someone has visited the location of a local retail competitor using the technology called geofencing.

Geofencing is “a location-based service in which an app or other software uses GPS, RFID (radio frequency identifiers), Wi-Fi or cellular data to trigger a pre-programmed action when a mobile device or RFID tag enters or exits a virtual boundary set up around a geographical location.”

It allows you to see information about where people go, whether it’s to Verizon, an Apple Store, The Gap, or any other establishment that falls within your industry. Additional data can be collected based on store POS systems, showing what particular items customers have purchased. This knowledge can then be integrated with additional online and behavioral data, including contact information.

BDEX data allows marketers and advertisers to spend dollars efficiently and powerfully. Looking at website visits, geofencing when individuals visit competitors and combining this data with more traditional metrics and multiple device matching enables micro-targeting the right individuals – when they are about to make a purchase.

Marketing is a whole new ballgame.

BDEX features 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 like never before. We offer cross-device matching, auto dealership services, DAAS, real-time targeting, and custom segment building that is ideal for any industry, including auto dealers, retailers, brands, agencies, out-of-home, and franchises. Contact us today to get your customized marketing data.

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daas for auto dealers

DaaS for the Auto Dealer
June 14, 2018| | in category Big Data, business, Data Exchange Platform, Data Industry News, data management platform, in-market data, location-based data, website re-targeting Comments Off on DaaS for the Auto Dealer

In a previous post we discussed a few marketing strategies that auto dealers can use and how BDEX’s Hyperlocal Data Suite services can help dealerships. By combining the best of traditional and digital marketing, auto dealers can connect with their existing customers in new ways and target potential car buyers.

An extension of our Hyperlocal Data Suite services, BDEX DaaS (Data as a Service) for Auto Dealers was created specifically for dealerships. For a low, fixed monthly cost, dealers can gain access to data and services that would cost thousands of dollars per month elsewhere.

DaaS for Auto Dealers combines location-based data, website re-targeting and in-market data to find and target your ideal customer.

In-Market Data

On average, a dealership will receive approximately 1,100 standard in-market records and 2,000 lease expiration records per month.

Location-Based Data

An average dealership will receive approximately 400 records identifying consumers who visited a competing dealership. This includes the consumers’ names, addresses and phone numbers. This exclusive service is available only through BDEX!

Website Re-Targeting

With BDEX’s custom website tracking, BDEX can identify consumers visiting your website, including name, address and phone number information, without a contact form or sign-up.

You may be wondering how BDEX can offer personalized services and data without the high price tag. Unlike most marketing/ad companies, BDEX separates the cost of advertising/marketing from the cost of data, allowing dealers to use the same data for multiple campaigns. No longer pay for every ad impression. Own your data and your audience.

To learn more about DaaS for Auto Dealers, visit our website or email us at info@bdex.com.

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Device-Matching Connects Customers with Devices – and Businesses with Sales on bigdataexchange.com

Device-Matching Connects Customers with Devices – and Businesses with Sales
June 13, 2018| | in category analysis methods, Big Data, Buisness, Data Exchange Platform, data management platform, location-based data, sell data Comments Off on Device-Matching Connects Customers with Devices – and Businesses with Sales

The key to the connection is all in the data

The goal of anyone who sells anything is to make the right people aware of their product or service at the right time – and in the right place. And while this is a pretty straightforward idea, it has always been much easier said than done. But thanks to real-time targeting and device matching, it may not be so difficult anymore.

What is real-time targeting?

When someone begins a search for something online, real-time targeting allows companies to get this information almost immediately. They can then use this data to offer this customer relevant products that directly correspond with their online and other activity. And the best part is that customer activity can be tracked across computers, phones, and tablets – allowing marketers to match different devices with the same person.

How do companies know which customers are connected to which devices?

Companies that have access to this resource gain insight into what the individual is shopping for as well as which devices they use and how to best contact them. Marketing campaigns can be tailored appropriately to both highly-targeted product recommendations and the platform that will resonate with a potential customer.

For instance, a store like Best Buy could use device matching to find out what out what kind of phone one of their customers uses and how old it is. They can then send updates and information about the newest model at a time when a customer is specifically searching for a new phone and – depending on permissions – provide this information via text, email, or even dynamically-served ads on websites.

How this applies in a non-digital setting

Marketers also have the ability to match consumers to specific geographic locations. With access to the right data, it is fairly simple to tie a postal address to a mobile device and an IP address of a home computer. If that individual goes online to look for a new car, an auto dealership in their area can see this activity and then send the person a flyer or other type of physical mail advertising its cars. And with geofencing, which identifies where a device is located within a certain radius, the dealership can even determine if the individual is actively visiting competitors.

BDEX lets businesses precisely target customers and potential customers

With so much competition vying for the attention of customers, businesses have to do all they can to find an edge – and every poorly-targeted marketing dollar is wasted.

BDEX makes it easy to get in front of consumers when they are looking to buy and where they are likely to see the message. We have over 700 million device ID connections. While some companies offer device-matching and other targeted data in batch mode, we’re one of the few that deliver it through an application program interface (API) that allows our clients to access the information in real time. We also have more than 900 billion data signals on consumers in the U.S. available through our proprietary Data Exchange Platform.

To learn more about BDEX and what this data can do for you, contact us.

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What Does a Big Data-Driven Customer Experience Look Like?
June 5, 2018| | in category analysis methods, Analytics, audience groups, Big Data, Buisness, clustering, Data Exchange Platform, Data Industry News, data management platform, Data Vendors, DMP, Engagement rate, Internet of Things, Mobile Marketing, Real Time Data, Responsive, Thick Data, Uncategorized, Web Hosting Comments Off on What Does a Big Data-Driven Customer Experience Look Like?

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

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


What Does a Big Data-Driven Marketing Strategy Entail?

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

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

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

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

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

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

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


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

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