Post by account_disabled on Jan 22, 2024 2:35:16 GMT -5
The predictive theme models were born. which played a very important role during the activation in the last few weeks. From the digital traces coming from different sources. it is easy to identify a user to whom we can later deliver targeted messages. Digital Campaign Strategy and micromessaging However. the above method was not only good for filtering out sympathizers from the multitude of society. but also for identifying the power relations in certain areas. counties. and states. This is how the Trump campaign got to the point where they noticed several states that were historically Democratic states. which is why the Clinton campaign didn't even focus on it.
because they were confident of winning. However. in the background. the data showed Industry Email List that the proportion of undecided voters is very high. and in the case of an election with a small turnout. the balance could even be tipped in their favor. This is precisely why the Trump campaign appeared in Wisconsin times. while the Clinton campaign did not appear once. Trump won Wisconsin by just . votes. Without the underlying data and predictive analytics. Clinton will win Wisconsin and similarly other such states and Trump will not ultimately win the election. These predictive analytical models also had a serious mathematical and statistical background.
Thanks to this. they were able to consciously predict who sympathizes with whom. broken down by state. Based on preference. there were. They vote for Clinton They can be dissuaded from voting for Clinton They will never vote for Clinton but neither for Trump On the other side. Those who are sure to vote for Trum GOTV Go Out To Vote who are Trump sympathizers but need to be convinced to go vote activation They will never vote for Trump but neither for Clinton And in the middle. those who can be convinced and who will never vote for anyone. voting preference The formula was simple. To increase the proportion of those who are Trump sympathizers.
because they were confident of winning. However. in the background. the data showed Industry Email List that the proportion of undecided voters is very high. and in the case of an election with a small turnout. the balance could even be tipped in their favor. This is precisely why the Trump campaign appeared in Wisconsin times. while the Clinton campaign did not appear once. Trump won Wisconsin by just . votes. Without the underlying data and predictive analytics. Clinton will win Wisconsin and similarly other such states and Trump will not ultimately win the election. These predictive analytical models also had a serious mathematical and statistical background.
Thanks to this. they were able to consciously predict who sympathizes with whom. broken down by state. Based on preference. there were. They vote for Clinton They can be dissuaded from voting for Clinton They will never vote for Clinton but neither for Trump On the other side. Those who are sure to vote for Trum GOTV Go Out To Vote who are Trump sympathizers but need to be convinced to go vote activation They will never vote for Trump but neither for Clinton And in the middle. those who can be convinced and who will never vote for anyone. voting preference The formula was simple. To increase the proportion of those who are Trump sympathizers.