A method of remote surveying to forecast popularity of a product or a media item comprises showing the item to a first, statistically significant and representative, sample of people, items of a closed catalog, obtaining a rating of each catalog item, and storing the ratings. Then a second, smaller, sample that is not representative of the population is shown the product or media item needing the forecast along with the items of the catalog. The people in the second sample rate the products or items in the same way and then a pseudo-distance is calculated between the catalog items and the product or media item. The pseudo-distance is applied to each person in the first sample to obtain a personal pseudo-rating for the product or media item. The personal pseudo-ratings provide a statistically significant electronic indicator of reactions to the product or media item.

Purchasing data from a variety of sources such as consumer panels, loyalty cards, and retailer point of sale data, are fused to estimate purchasing behavior by loyalty card users. As a significant advantage, the techniques described herein permit accurate imputation, on a household level, of unreported purchases in loyalty card data, and can thus facilitate accurate estimates of total spending behavior by loyalty card households beyond those venues for which loyalty program data is collected.

A method for proactive marketing includes: receiving information that an event is expected to happen or is happening; determining attributes of customers that will be affected by the event; and taking action based on the determined attributes. A system for proactive marketing includes: an intelligent database for storing interaction data of customers; and a data management platform (DMP) configured to receive customer data from the intelligent database, determine attributes of customers that will be affected by an event, and take action based on the determined attributes. A proactive marketing platform includes: data sources; and a marketing and ad platform configured to receive data from the data sources, determine attributes based on the data; and take action based on the determined attributes.

A method for proactive marketing includes: receiving information that an event is expected to happen or is happening; determining attributes of customers that will be affected by the event; and taking action based on the determined attributes. A system for proactive marketing includes: an intelligent database for storing interaction data of customers; and a data management platform (DMP) configured to receive customer data from the intelligent database, determine attributes of customers that will be affected by an event, and take action based on the determined attributes. A proactive marketing platform includes: data sources; and a marketing and ad platform configured to receive data from the data sources, determine attributes based on the data; and take action based on the determined attributes.

Various embodiments of the present technology generally relate to data delivery. More specifically, some embodiments of the present technology relate to systems and methods for using spatial and temporal analysis to associate data sources with mobile devices. The delivery of data to support a wide variety of services for and about mobile devices that are based on data stored in corporate, commercial, and government databases which is not currently linked to individual mobile devices. Some embodiments allow advertisers to better target their ads to relevant target audiences with greater accuracy.

A call conversion tracking system is disclosed that tracks call-based communications initiated from invitational content. Based on the tracking, the call conversion tracking system generates data analytics quantifying the effectiveness of the invitational content's ability to trigger a voice call (e.g., a phone call) and/or other type of voice communication. The system correlates the voice communication data and sales-related data, and associates such data to interactions within the invitational content responsible for driving the call and sale.

System and method relating to demand forecasting and readjusting forecasts based on forecast error.

An object of the invention is to actively increase movement of customers between areas. An area revitalization apparatus according to the invention includes: a store placement unit configured to change a placement of a store in an area based on movement information on a customer and information on purchase of products by the customer, and display, to the customer, a screen for visiting the store in the area; and a point giving unit configured to give an economic value to the customer who actually visits the store in the area.

Disclosed are embodiments for the aggregation and analysis of vehicle prices via a geo-specific model. Data may be collected at various geo-specific levels such as a ZIP-Code level to provide greater data resolution. Data sets taken into account may include demarcation point data sets and data sets based on vehicle transactions. A demarcation point data set may be based on consumer market factors that influence car-buying behavior. Vehicle transactions may be classified into data sets for other vehicles having similar characteristics to the vehicle. A geo-specific statistical pricing model may then be applied to the data sets based on similar characteristics to a particular vehicle to produce a price estimation for the vehicle.

Embodiments of systems and methods for the aggregation, analysis, display and monetization of pricing data for commodities in general, and which may be particularly useful applied to vehicles are disclosed. Specifically, in certain embodiments, historical transaction data associated with a particular vehicle configuration may be obtained and processed to determine pricing data associated with the vehicle configuration. The historical transaction data or determined pricing data may then be presented in an intuitive manner.