Data platform and analytics for predicting media metrics

A device, comprising:

• one or more memories;
• and
• one or more processors, communicatively coupled to the one or more memories, to:
• obtain data associated with a current media plan that is being implemented,
• wherein the data includes:
• a cost adjustment factor based on at least one of:
• a seasonality input,
• an inflation input, or
• a quality input,
• a duration of an unexecuted portion of the current media plan,
• wherein the duration is divisible into one or more periods of time, and
• an unutilized budget for the duration of the unexecuted portion of the current media plan;
• obtain a baseline cost parameter associated with a previously implemented baseline media plan;
• generate a predictive baseline cost parameter based on the baseline cost parameter to predict one or more metrics associated with the current media plan,
• wherein the predictive baseline cost parameter is generated by adjusting the baseline cost parameter by the cost adjustment factor;
• obtain an actual cost associated with an executed portion of the current media plan;
• determine an amount of savings based on adjusting the actual cost by the predicted baseline cost parameter;
• adjust the unutilized budget to include the amount of savings;
• predict one or more cost metrics associated with the current media plan based on adjusting the unutilized budget,
• wherein the one or more cost metrics are predicted by modifying an amount of one or more budget portions of the unutilized budget, including the amount of savings, by a proportionate amount of the predictive baseline cost parameter, based on a total number of the one or more budget portions;
• predict one or more performance metrics for the current media plan based on predicting the one or more cost metrics,
• wherein the one or more performance metrics are predicted by modifying the one or more cost metrics by the predictive baseline cost parameter;
• determine one or more target cost per point (CPP) values for the current media plan based on the one or more cost metrics and the one or more performance metrics;
• cause an action to be performed based on determining the one or more target CPP values;
• provide a user interface for receiving user input to adjust one or more quality inputs;
• receive modified user input associating with adjusting the one or more quality inputs;
• dynamically adjust the one or more cost metrics based on receiving the modified user input;
• dynamically update the one or more performance metrics based on dynamically adjusting the one or more cost metrics;
• and
• dynamically update the one or more target CPP values based on dynamically updating the one or more performance metrics,
• wherein the dynamically adjusted one or more cost metrics, the dynamically updated one or more performance metrics, and the dynamically updated one or more target CPP values are provided for display in real-time via the user interface, and
• wherein the dynamically adjusted one or more cost metrics, the dynamically updated one or more performance metrics, and the dynamically updated one or more target CPP values improve efficiency associated with the device.

A non-transitory computer-readable medium storing instructions, the instructions comprising:

• one or more instructions that, when executed by one or more processors, cause the one or more processors of a device to:
• obtain data associated with a current media plan that is being implemented,
• wherein the data includes:
• a first cost adjustment factor based on at least one of a first seasonality input, a first inflation input, or a first quality input associated with a first group specified in the current media plan,
• a second cost adjustment factor based on at least one of a second seasonality input, a second inflation input, or a second quality input associated with a second group specified in the current media plan,
• a duration of an unexecuted portion of the current media plan,
• wherein the duration is divisible into one or more periods of time, and
• an unutilized budget for the duration of the unexecuted portion of the current media plan,
• wherein a first portion of the unutilized budget is allocated to the first group and a second portion of the unutilized budget is allocated to the second group;
• obtain a baseline cost parameter associated with a previously implemented baseline media plan;
• generate a first predictive baseline cost parameter to predict one or more first metrics associated with the first group,
• wherein generating the first predictive baseline cost parameter includes adjusting the baseline cost parameter by the first cost adjustment factor;
• generate a second predictive baseline cost parameter to predict one or more second metrics associated with the second group,
• wherein generating the second predictive baseline cost parameter includes adjusting the baseline cost parameter by the second cost adjustment factor;
• predict one or more first cost metrics associated with the first group specified in the current media plan,
• wherein predicting the one or more first cost metrics includes modifying an amount of one or more first budget portions of the unutilized budget by a proportionate amount of the first predictive baseline cost parameter, based on a total number of the one or more first budget portions;
• predict one or more second cost metrics associated with the second group specified in the current media plan,
• wherein predicting the one or more second cost metrics includes modifying an amount of one or more second budget portions by a proportionate amount of the second predictive baseline cost parameter, based on a total number of the one or more second budget portions;
• predict one or more first performance metrics based on modifying the one or more first cost metrics by the first predictive baseline cost parameter;
• predict one or more second performance metrics based on modifying the one or more second cost metrics by the second predictive baseline cost parameter;
• determine one or more first target cost per point (CPP) values for the first group based on the one or more first cost metrics and the one or more first performance metrics;
• determine one or more second target CPP values for the second group based on the one or more second cost metrics and the one or more second performance metrics;
• cause an action to be performed based on the one or more first target CPP values and the one or more second target CPP values;
• provide a user interface for receiving user input to adjust one or more quality inputs;
• receive modified user input associating with adjusting the one or more quality inputs;
• dynamically adjust the one or more first cost metrics and the one or more second cost metrics based on receiving the modified user input;
• dynamically update the one or more first performance metrics and the one or more second performance metrics based on dynamically adjusting the one or more first cost metrics and the one or more second cost metrics;
• and
• dynamically update the one or more target CPP values based on dynamically updating the one or more first performance metrics and the one or more second performance metrics,
• wherein the dynamically adjusted one or more first cost metrics and dynamically adjusted the one or more second cost metrics, the dynamically updated one or more first performance metrics and the dynamically updated one or more second performance metrics, and the dynamically updated one or more target CPP values are provided for display in real-time via the user interface, and
• wherein the dynamically adjusted one or more cost metrics, the dynamically updated one or more performance metrics, and the dynamically updated one or more target CPP values improve efficiency associated with the device.