One of the biggest challenges Marketing Operations faced in 2015 was Big Data—where it comes from, what it means, who takes care of it, and what to actually do with it.
But once you figure out what to do with the influx of data, it's just as important to understand what not to do.
Here are seven disastrous data don'ts for Marketing and Sales.
1. Wrong Data
Adding big bad data to your marketing automation, email or CRM tool is one of the most disastrous things you can do. It's hard enough keeping these systems running smoothly, but if they get clogged with bad data... the struggle is greatly amplified.
Among the actions you can take to avoid this problem:
- Get data from reputable sources.
- Make sure to give the data a proper cleansing.
- Make sure the data is matched up to CRM values perfectly.
- Make sure the data you're importing is worth importing (ask, Is this data that sales actually wants?).
You've got to keep in mind the quality-versus-quantity debate. At some point, the "x number of leads gets me y in revenue, so doubling the input of leads should double my revenue" way of thinking will begin to fail.
Take a deep look into your data to find out what you are really trying to get from it; you may just discover some new insights.
Take the first step (it's free).
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