The days of spray-and-pray advertising are over, and audience targeting is now a must for any marketing campaign. But relying on bad-quality data can cost companies up to $13 million per year. To ensure accuracy and quality, conduct a data audit of your current assets, identify and eliminate duplicates, check for out-of-date data and look for incomplete records.
To prevent bad data, standardize your data auditing process, set up ongoing data monitoring, and repeat the previous two steps. Quality data is key to successful campaigns and will increase effectiveness and ROI.
Data verification and hygiene should be a routine practice to maximize marketing success. Read more on data quality with the provided resources.
Bad Data Is Ruining Your Ad Campaigns—Here's How to Fix It
Don't worry ... it's FREE!
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