Patent Application

App. No. 14/887,600

Abstract

Claims (54)

1 . A marketing asset forecasting system comprising:

a. a marketing asset forecasting server comprising:

i. a processor;

ii. memory; and

iii. a marketing asset forecasting application configured to:

A. collect forecasting data for marketing assets;

B. build at least one target variable revenue models for the marketing assets;

C. adjust seasonally the at least one target variable revenue model; and

D. allocate marketing budgets to the marketing assets based upon the at least one seasonally adjusted target variable revenue model.

2 . The marketing asset forecasting system of claim 1 , wherein the marketing asset forecasting application comprises a data compiler module configured to collect the forecasting data for marketing assets by:

a. identifying needed marketing assets;

b. identifying the forecasting data associated with the identified marketing assets; and

c. capturing the identified forecasting data.

3 . The marketing asset forecasting system of claim 2 , wherein the marketing asset forecasting application further comprises a data vetting module configured to vet the captured identified forecasting data.

4 . The marketing asset forecasting system of claim 2 , wherein the forecasting data includes spend and revenue from the identified marketing assets for past periods.

5 . The marketing asset forecasting system of claim 4 , wherein the forecasting data further comprises future marketing asset budgets.

6 . The marketing asset forecasting system of claim 1 , wherein the marketing assets comprise marketing channels.

7 . The marketing asset forecasting system of claim 1 , wherein the marketing asset forecasting application comprises a model building module to build the at least one target variable revenue model by utilizing regressional analysis on the collected forecasting data for the marketing assets.

8 . The marketing asset forecasting system of claim 7 , wherein the model building model utilizes least squares regression to build the at least one target variable revenue model.

9 . The marketing asset forecasting system of claim 8 , wherein the model building model selects beta coefficients that minimize the least squares regression.

10 . The marketing asset forecasting system of claim 7 , wherein the model building module is further configured to build individual target variable revenue models for each marketing asset and combine the results into the at least one target variable revenue model.

11 . The marketing asset forecasting system of claim 1 , wherein the marketing asset forecasting application comprises a seasonal adjustment module to adjust seasonally the at least one target variable revenue model, wherein the seasonal adjustment module is configured to:

a. select periods for seasonal adjustment;

b. create period variable revenue models for the selected periods; and

c. adjust the at least one variable target revenue model based upon the period variable target revenue models.

12 . The marketing asset forecasting system of claim 11 , wherein the seasonal adjustment module is configured to create the period variable revenue models for the selected periods using regressional analysis.

13 . The marketing asset forecasting system of claim 12 , wherein the seasonal adjustment module further uses a holdout method for each period variable revenue model.

14 . The marketing asset forecasting system of claim 11 , wherein the seasonal adjustment module creates the period variable revenue models by creating individual period variable revenue model for each marketing asset.

15 . The marketing asset forecasting system of claim 1 , wherein the marketing asset forecasting application comprises a forecasting module for allocating the marketing budgets to the marketing assets based upon the at least one seasonally adjusted target revenue model.

16 . The marketing asset forecasting system of claim 1 , further comprising a modifier module configured to modify the marketing budgets for the marketing assets after the allocation of marketing budgets.

17 . The marketing asset forecasting system of claim 1 , further comprising at least one internal server, wherein the marketing asset forecasting server is configured to collect the forecasting data from the at least one internal server, at least one third party server, or at least one network-enabled device.

18 . A method for allocating marketing budgets to marketing assets, comprising the steps of:

a. collecting forecasting data for the marketing assets, wherein the forecasting data comprises revenue and spend for the marketing assets;

b. building at least one target variable revenue models for the marketing assets using regressional analysis of the collected forecasting data;

c. adjusting seasonally the at least one target variable revenue model by building period variable revenue models for selected periods and adjusting the at least one target variable revenue model with the period variable revenue models; and

d. allocating marketing budgets to the marketing assets based upon the at least one seasonally adjusted target variable revenue model.

19 . The method of claim 18 , wherein building the at least one target variable revenue model comprises building a target variable revenue model for each of the marketing assets, and wherein adjusting seasonally the at least one target variable revenue model further comprises building individual period variable revenue models for each of the marketing assets.

20 . A marketing asset forecasting system comprising:

a. at least one internal server;

b. a marketing asset forecasting server configured to communicate with the at least one internal server and at least one third party server and at least one network-enabled device, wherein the at least one internal server, third party server, and network-enabled device collect forecasting data, the marketing asset forecasting server comprising:

i. a data compiler module configured to:

A. identify needed marketing assets;

B. identify the forecasting data associated with the identified marketing assets; and

C. capture the identified forecasting data from the at least one internal server and the at least one third party server and the at least one network-enabled device;

ii. a data vetting module configured to vet the captured identified forecasting data;

iii. a model building module for building models of forecasts for the selected marketing assets from the captured identified forecasting data, the model building module configured to:

A. create a target variable revenue model by creating a target variable revenue model for each marketing asset through the use of least squares regressional analysis; and

B. combining each target variable revenue model for each marketing asset into a full term variable target model;

iv. a seasonal adjustment module to seasonally adjust the full term variable target model, the seasonal adjustment module configured to:

A. select a period for seasonal adjustment;

B. create period variable revenue models for the periods, wherein creating the period variable revenue models further comprises making a period variable revenue model for each marketing asset using regressional analysis using a holdout method for each time period; and

C. adjust the full term variable target model based upon the period variable target models;

v. a forecast module for allocating the marketing budget to the marketing assets based upon the revenue model; and

vi. a modifier module configured to allow adjustments to the allocation of the marketing budgets.

Assignments (14)