More effective content marketing

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Predicción de tendencias y comportamientos
El Big Data allows us not only to understand what is happening now, but to predict what will happen in the future . Through the analysis of large volumes of historical data and in real time, we can identify patrons and emergent trends.

For example, a fashion brand could use the study of data from social networks and online searches to predict which styles will be popular next season. A technology company could anticipate the demand for a new product based on the analysis of online conversations and related searches.



Optimization of prices in real time
Big Data allows companies to adjust their prices in real time based on a variety of factors such as demand, competition, and climate. This is especially powerful in electronic commerce and travel industry.

For example, airlines use complex algorithms that analyze thousands of factors before adjusting ticket prices several times a day. Las accommodation platforms like Airbnb use Big Data to suggest optimal prices to hosts based on local demand, nearby events and other factors.




El Big Data nos ayuda a entender exactamente que tipo de contenido resuena con nuestra audiencia . We can analyze which topics generate more engagement, which formats are preferred by our users, and which content length works best for different audience segments.

Por ejemplo, a business blog could use the data analysis to determine that its readers prefer long and detailed articles on marketing on Mondays in the morning, but more light and visual content on Fridays in the afternoon.



More accurate marketing attribution
Uno de los majores desafícios en marketing es entender exactante que táctica o channel es responsable de una conversion . Big Data allows us to create more sophisticated attribution models that include multiple points of contact throughout the customer journey.

Por ejemplo, instead of attributing a sale simply to the last click, we albania cell phone number database can understand how different channels (email, social networks, organic search, etc.) contribute to the client's decision making process. This allows us to assign our marketing budget in the most effective way.


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Tools and technologies before using Big Data in marketing
Ahora que entendemes el potential del Big Data, la pregunta es: ¿cómo podemos aprovechar todo este poder? Fortunately, there are a wide range of tools and technologies designed to help you compile, process and analyze large amounts of data. Let's see some of the most important ones:



Data Management Platforms (DMP)
Las DMP son el corazón de cualquier estrategia de marketing basado en datos. These platforms compile, organize and activate data from primera, segunda y tercera parte de multiple sources. They allow you to create detailed audience segments and activate them in different marketing channels.

Popular examples include Adobe Audience Manager, Salesforce DMP and Oracle BlueKai.