Truecar, Inc.

Tatari, Inc.

Perimetrics, Inc.

Michael D Swinson

Scott Painter

Thomas Taira

Thomas J Sullivan

Lin O'Driscoll

Robert C Taylor

Chris Taylor

Xingchu Liu

Meghashyam Grama Ramanuja

Isaac Lemon Laughlin

Mikhail Semeniuk

Wei Chen

Jacob Michael LaCivita

Ludovica Rizzo

Daniel Salazar

Jason McBride

Param Pash Kaur Dhillon

James Thai Nguyen

James Francis Berger

Christopher James O'Keeffe

Zixia Wang

Joel Martin Lander

Pan Wu

James C Earthman

Philip Georges Inghelbrecht

Damon Cleckler

Dennis A Quan, Jr

Brent L White, Jr

Rudy C Gilmore

Jason Lee Melbourne

Jonathan Andrew Wahl

Jesse Toprak

Tyson Fritz Nassauer

Christopher Carl Lichti

Aboozar Mapar

Jacob Michael Lacivita

A method for determining an optimal frequency range for maximizing the response rate may include Internet Protocol (IP)-level impressions from impression data, rolled up the IP-level impressions to household-level impressions, and then correlate the household-level impressions with response and conversion rates so as to determine impressions with associated attribution. Each impression is assigned to a frequency bin based on a rolling frequency calculation. Relative net funnel efficiencies (NFEs) can then be determined by comparing different frequency bins, each respective frequency bin containing frequency-specific impressions, a frequency-specific response rate, a frequency-specific conversion rate, an NFE determined from the frequency-specific response rate and the frequency-specific conversion rate, and a relative NFE for the respective frequency bin. A frequency-response profile containing the relative NFEs is generated and provided as input to an optimal frequency algorithm so as to produce an optimal frequency range which, in turn, is displayed on a client device.

Systems and methods for determining optimal frequency range for maximizing response rate

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.

System, method and computer program product for geo-specific vehicle pricing

To increase the efficiency of a used vehicle data processing process while still tailoring to an individual user's unique specifications on a used vehicle, at least some pre-calculations are performed by a backend process before a request for data for a specified vehicle is received through a web site or a web server on the Internet. A user can be presented with an interface where the user can make a variety of determinations. After the user requests data on a specific vehicle configuration, a frontend process handles user-provided data in conjunction with the data calculated in the backend process to ensure that the results are better tailored to the user's specific vehicle attributes. The results can include pricing data such as a trade-in price, a list price, an expected sale price or range of sale prices, market low sale price, market average sale price, market high sale price, etc.

System and method for analysis and presentation of used vehicle pricing data

A vehicle sales matching system may include a vehicle sales lead data database, a vehicle sales information database, and a sales matching system embodied on a non-transitory computer-readable medium and communicatively connected to the vehicle sales lead data database and the vehicle sales information database. The vehicle sales lead data may include validated customer data and third-party customer data. The vehicle sales information may include sales data from vehicle dealers, data extract services, and sales data sources. The sales matching system may be configured for applying one or more matching rules for matching a vehicle sales lead from the vehicle sales lead database to a vehicle sale from the vehicle sales information database.

System, method and computer program product for tracking and correlating online user activities with sales of physical goods

A system, method, and computer program product for identifying consumer items more likely to be bought by an individual user. In some embodiments, a collaborative filter may be used to rank items based on the degree to which they match user preferences. The collaborative filter may be hierarchical and may take various factors into consideration. Example factors may include the similarity among items based on observable features, a summary of aggregate online search behavior across multiple users, the item features determined to be most important to the individual user, and a baseline item against which a conditional probability of another item being selected is measured.

System, method and computer program product for predicting a next hop in a search path

Embodiments of systems and methods disclosed herein provide solutions for predicting vehicle invoice pricing, trim, and options by starting from scratch (raw data), transforming the raw data into actionable data, and comprehensively exploring all possible option combinations that can match a vehicle's Manufacturer Suggested Retail Price (MSRP). Embodiments implement algorithms that determine the trim of a vehicle and intelligently analyze all possible option combinations that would result in a target MSRP while avoid searching unnecessary vehicle configurations. The algorithms can be used to predict the trim, invoice, and options of a vehicle based on the vehicle's VIN and MSRP.

Systems and methods for transformation of raw data to actionable data

Embodiments of the present disclosure relate to data correlation of data pertaining to content distributed through distinct content delivery networks including offline networks and data related to user interaction with an online presence on the distributed computer network and uses for such correlated data, including to measure and quantify latent effects of the content distributed through a distinct content delivery network, such as an offline network, on user's interactions with the online presence on the distributed computer network.

System and method for quantification of latent effects on user interactions with an online presence in a distributed computer network resulting from content distributed through a distinct content delivery network

Embodiments of vehicle data systems for use in distributed computer network are disclosed. Particular embodiments may determine and enhance vehicle data from various data sources distributed across the computer network, and utilize the enhanced vehicle data in the determination of normalization metrics that account for geography and population density or spatial behavioral patterns. Embodiments may utilize these normalization metrics to determine or predict one or more metrics about participants in a network.

System and method for dealer evaluation and dealer network optimization using spatial and geographic analysis in a network of distributed computer systems

An attribution system aggregates and merges online data and offline chronologically. The attribution system examines merged data for unique visitor (UV) sessions initiated at an online medium (e.g., a website) within an attribution window for a spot that aired on an offline medium (e.g., a television network) and, for each conversion event that occurred in a UV session, assigns a session timestamp to it so that the conversion event is correlated to the spot. The attribution system then determines an overall conversion rate of UVs to the online medium in the attribution window and the attribution by the spot that aired on the offline medium to the overall conversion rate of UVs to the online medium in the attribution window. Results of the offline attribution to the online conversions can be visualized and presented on a client device communicatively connected to the attribution system.

Systems and methods for attributing TV conversions

Embodiments of vehicle data systems for use in distributed computer network are disclosed. Particular embodiments may determine and enhance vehicle data from various data sources distributed across the computer network, and utilize the enhanced vehicle data in the determination of normalization metrics that account for geography and population density or spatial behavioral patterns. Embodiments may utilize these normalization metrics to assign zone labels to geographic areas and present representations of the geographic areas based on the normalization metrics across the distributed computer network.

System and method for determination and use of spatial and geography based metrics in a network of distributed computer systems

Endogenous and exogenous variables associated with an item for sale by an affiliate may be displayed to a user of an affiliate decision-making tool. In response to the user selecting one of the endogenous variables, the affiliate decision-making tool may compute a number of introductions, a number of leads, and a number of sales for each of a plurality of possible values of the endogenous variable. The computation may be done utilizing a display position algorithm. A visualization of effects of setting the endogenous variable at different levels may be presented. The user may interact with the display position algorithm to vary one or more of the plurality of possible values of the endogenous variable such that the affiliate is eligible or disqualified to be displayed by an intermediary in response to a search for the item by a visitor of a network site owned and operated by the intermediary.

System, method and computer program for varying affiliate position displayed by intermediary

A media creative attribution method includes determining a response profile within an attribution time window, the response profile being a portion of a unique visitor (UV) curve associated with a website. In some cases, a shadow baseline analysis is run on every media creative that aired within an extended time window to determine whether to adjust the response profile. A total lift within the attribution time window is determined utilizing a baseline of the UV curve. A weight for each media creative that aired within the attribution time window is determined. Utilizing the weight, the total lift is allocated to individual media creatives that aired within the attribution time window. The allocated attribution can be utilized to generate performance metrics relating to the individual media creatives that aired within the attribution time window. The performance metrics such as cost per visitor can be visualized through a user interface or dashboard.

Systems and methods for determining media creative attribution to website traffic

A quantification system is configured for debiasing media creative efficiency. In some embodiments, the quantification system leverages a weighted generalized linear model (GLM) to determine the individual impacts of media creatives beyond network effects. To prepare input data for fitting the weighted GLM, the quantification system analyzes spot airing data, creates a specific data structure for storing observations (e.g., network-media creative combinations) that can be provided to the weight GLM as input, and computes additional input data points needed by the weighted GLM (e.g., network spend, media creative efficiency per network-media creative combination, etc.). The weighted GLM is then fitted to obtain coefficients representing the individual impacts of the media creatives. The quantification system utilizes the computed impacts to adjust the previously computed media creative efficiency for each media creative. In this way, relative performance of media creatives can be objectively quantified across networks without needing digital evidence.

Systems and methods for debiasing media creative efficiency

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.

Growing community of inventors

Santa Monica, CA, United States of America

Michael D Swinson