How would users control their online privacy if they had the choice?
In a recent survey conducted by Aimia, a loyalty management company, it was reported that there was a notable difference between online privacy...
1 min read
Ray Kingman : Nov 1, 2011 3:43:38 PM
Thanksgiving is just a few weeks away, and it's traditionally a time for folks to sit back and reflect on the good fortune they have had throughout the year. Those who are able often give back a little of what they've earned to their communities and favorite charities - making them the perfect candidates to be contacted by nonprofit organizations who are looking to raise a significant percentage of their charitable donations over the holidays.
The individuals who are the best candidates to give a little something back to their community or to a cause that they hold dear are those who have prior associations with a particular organization and those with a past history of charitable giving. Nonprofits need a way to target these individuals effectively - without spending a whole lot of money in the process.
That's where MARKETmatrix comes in. MARKETmatrix by Semcasting uses patented genetic modeling technology to create predictive models that match your current customers to Semcasting’s proprietary data store to find prospects with similar demographic profiles. MARKETmatrix allows marketers to target over 5.2 million zones that are based on clusters of individuals with similar demographic characteristics. Organizations can use the Zone targeting of MARKETmatrix to execute highly targeted campaigns through direct mail, online display ads and Facebook ads. Gearing online campaigns toward the most qualified prospects based on the prospects being in the market and having the ability to afford the offer gives marketers a better opportunity to reach more qualified prospects, generate more sales, and receive the highest returns on their ad spend.
In a recent survey conducted by Aimia, a loyalty management company, it was reported that there was a notable difference between online privacy...
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