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 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