Post by nojime4575 on Feb 15, 2024 1:58:18 GMT -5
How to interpret data and make decisions based on the evidence collected. Third element, but no less important, Growth Hacking means continually experimenting with different solutions to the problem by taking advantage of your own experiences . Quantity is preferred to quality, considering time as a scarce resource, all unsuccessful experiments are quickly abandoned, focusing on those that obtain positive results. Finally, all this happens by leveraging what we already have available , which seems to me to be a very realistic starting point.
Data, data and more data (and their interpretation) Growth Hacking is somewhat synonymous with Data Driven Marketing . This approach is enlightening because it changes the paradigm a bit with respect to how Panama Phone Number List decisions can be made in the company. Deming said: Without data you are just another person with an opinion in this room. But what kind of data do we need? Hard data or quantitative analysis : answers the question “what is happening?
In practice, this is all the data that the company manages to archive and then analyze (such as data coming from the CRM or from their aggregation, as happens for example with DMPs ). Soft data or qualitative analyses : they allow us to refine our interpretation of data through customer interviews, surveys, focus groups and ethnographic research by providing elements of context and helping us to answer the question: "why is this happening?" Making decisions based solely on data is not at all simple or immediate. You need to know what data to monitor, how to read this data, what conclusions to draw from it and what decisions to take to correct it, when necessary. But first of all we need to understand where the problem lies.
Data, data and more data (and their interpretation) Growth Hacking is somewhat synonymous with Data Driven Marketing . This approach is enlightening because it changes the paradigm a bit with respect to how Panama Phone Number List decisions can be made in the company. Deming said: Without data you are just another person with an opinion in this room. But what kind of data do we need? Hard data or quantitative analysis : answers the question “what is happening?
In practice, this is all the data that the company manages to archive and then analyze (such as data coming from the CRM or from their aggregation, as happens for example with DMPs ). Soft data or qualitative analyses : they allow us to refine our interpretation of data through customer interviews, surveys, focus groups and ethnographic research by providing elements of context and helping us to answer the question: "why is this happening?" Making decisions based solely on data is not at all simple or immediate. You need to know what data to monitor, how to read this data, what conclusions to draw from it and what decisions to take to correct it, when necessary. But first of all we need to understand where the problem lies.