All Data Is Not Created Equal

Eliminating Bad Data Can Help Marketers Make Millions

How Much Does Bad Data Cost?

Bad data is ever-present – a misspelled name in your CRM, a wrong customer phone number, or the wrong figure on your cable bill. IBM estimates that poor data quality costs the U.S. $3.1 trillion each year. These costs come from repercussions like low return on ad spend or wasted time on sales due to data that is:
  • Incomplete
  • Obsolete
  • In the wrong location
  • Just plane false
The success of your marketing depends on your ability to keep this bad information out of your data pool. But companies who can do that have a huge advantage when it comes to creating human connections with their customers and prospects.

The New Keys to Accurate Data

The gold standard for accurate user data combines valid hashed email addresses (MD5) and Mobile Advertising ID (MAID) to connect location history, news sources, website visits, purchases and other data with the right individuals.

These identifiers are more effective than cookies and other methods because they work across multiple devices and connect mobile activity to individual users. Plus, cookies can be blocked, MD5 and MAIDs can’t.

How to Avoid Bad Data

Many brands are accepting bad information as the cost of doing business, but there are ways to protect your database. Knowing what good data looks like is one way forward.

High-quality data should:

  • Be verified across multiple channels
  • Weed out inaccurate or fraudulent data
  • Update in real-time
  • Link the general to the specific

High-quality data suppliers:

  • Don’t use unfiltered data from secondary suppliers
  • Have a process for identifying and avoiding click-farm and bot data
  • Review all data for quality and accuracy before putting it on the market

BDEX Protects Your Brand From Bad Data

BDEX provides high-quality, impartial data that empowers brands to make better connections and decisions. Our solutions are trustworthy and our data is vetted. We help you reach the right people with more accurate data, fueling more meaningful human connections. BDEX Quality Assurance Layer filters out bad data to ensure continuous quality, eliminating data that has errors like:
  • Invalid or old MAIDs
  • Bad MD5s, improperly hashed emails or emails that are not active
  • Bad or inactive linkages
  • Data linked to ad fraud, click fraud and bots
Rest assured that bad data will be identified and eliminated with the BDEX Quality Assurance Layer and all the processes we put in place to make sure every piece of information is accurate and actionable.

Ready to learn more about bad data in the market and how to keep it out of your data pool?
Contact us below for more information.

Established in 2014, BDEX is the first ever Data Exchange Platform (DXP). Combining hundreds of data sources in real-time into one unique data infrastructure, BDEX offers the most powerful, most accurate identity graph available in the U.S. market. BDEX empowers B2C companies to use the power of data to understand consumer behaviors and intents, helping them reach the right people at the right time.

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