Marketers today are drowning in audience data. We get data every time we send an email, or launch a campaign from every platform and channel of our marketing stack. We have so much data that we don’t know which data to believe (or not), or how to apply it to other parts of our business. How can we get a deeper understanding of the data we’ve collected in order to avoid this “analysis paralysis”?
Programmatic advertising uses technology to automate the buying and selling of targeted ads online. Within the programmatic ecosystem, there are various technologies and companies that all play a specific role in the buying and selling of these ads.
For local businesses and national brands alike, location data can be a valuable marketing tool to help reach your target audience. By understanding where your consumers are located and adjusting your messaging appropriately, you can send them personalized, relevant content to help drive them further down the consumer funnel and drive them to your stores. Geofencing and geotargeting are two different digital marketing tactics that make this possible.
Every year during Q4, marketers put all of their efforts into creating a strong holiday campaign that will deliver real results: bringing in new customers and boosting sales. But what happens after the holidays wind down and the campaign is over? How can you convert these holiday shoppers into repeat customers?
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While many marketers are in the midst of holiday campaign madness, some are beginning to look ahead to next year. Even among the proactive, many are stuck on analytical autopilot, measuring success against archaic metrics that no longer fit their goals.
As advertisers demand more transparency and consumers demand more privacy, data quality becomes evermore important. How are marketers adjusting to improve accuracy in their campaigns and measurement while maintaining compliance with an ever increasing array of privacy laws? In short, they are investing more heavily in data.
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