A processing device selects a population of persons and measures sales metrics from the population over a time period and measures an advertising weight over the time period. The processing device determines an effect that the advertising weight has on the sales metrics and additionally calculates values for a degree of targetedness for the advertisement to the population of persons. The processing device determines an effect that the degree of targetedness has on the sales metrics and generates a multi-dimensional model that measures the combined effects of the advertising weight and the degree of targetedness on the sales metrics.

There are disclosed systems and methods for facilitating communications between individuals and enterprises and in particular, to methods and systems for tracking and attributing customer and/or customer prospect online and offline communications in association with a marketing campaign.

System and method for measuring the performance of brands across online and offline consumer conversations. Raw conversational data of online and offline conversations is received and analyzed using proprietary algorithms to extract, for each type of data (online and offline), relevant metrics that reflect the performance of the brand. In a non-limiting example, these metrics include: volume, sentiment, brand sharing and social influence. One of the problems with using raw data is the extreme volatility that will cause the results to sharply vary between a week and the other depending on the most recent activity or the lack of activity. To solve this problem, the embodiments compute for each metric a moving average (MA) formula specific to that metric to reduce the volatility of the results. The formula is computed so that the metric values produced by the formula would have the best/most correlation with factual data/business outcomes (e.g. sales/sale figures, stock price, purchase or dumping of stocks etc.).

Assessment of the effectiveness of outdoor or indoor advertising includes the analysis of user interaction data with outdoor or indoor advertising. This analysis is carried out using a mobile application that allows users in the form of a game or quest to detect various items that are the subject of an advertising campaign, take photos or videos and quickly repost them in their personal social media account. The described system generates the following results: a comparative analysis of advertising objects used in an advertising campaign; the effectiveness of this campaign as a whole compared to another campaign; the effectiveness of this advertising object in a particular campaign compared to using the same object in another campaign; comparative analysis of various objects of creative content used in one advertising campaign; as well as any other custom analytics requested by the advertiser.

A system for multichannel marketing includes a redirect link that takes the place of an ordinary link to a landing page in an advertisement or interest page. A consumer activating the link is redirected momentarily to a server maintained by a marketing services provider. A cookie on the consumer's device is used to link data about this consumer to other data about the consumer that is maintained by the marketing services provider. The consumer data is held in an area where no personally identifiable information (PII) is maintained. The system allows a marketer to better track multichannel marketing efforts and to analyze the results of multichannel marketing without comprising the privacy of consumers.

The present disclosure provides systems and methods configured to perform the stages of: receiving an initial device location; receiving a subsequent device location; determining a course of travel associated with the device; aggregating data associated with courses of travel for a plurality of devices; determining a plurality of commonly traveled paths based on the aggregated data; receiving an identification of a path of the plurality of commonly traveled paths; and defining content to be transmitted to at least one device traveling down the identified path.

Consistent with embodiments of the present invention, a social media merchandising and advertising platform may be provided. The platform may enable any third party website, page, or entity referred to herein as an advertiser to post interactive content on a publisher's website. The interactive content may comprise, for example, a customizable badge. The platform may enable the advertiser to create, customize, and deploy the badge for display and access on the publisher's specified domain. Moreover, the platform may enable the advertiser to provide the publisher with various specifications and elements to be integrated into a customized badge and, in turn, provide the customized badge to a publisher. Either the publisher or advertiser, individually or collectively, may then post the advertiser's badge to a website.

An image processing unit (110) acquires a position of an advertisement and a position of a product by analyzing an image in which the product and the advertisement are disposed on a shelf rack are captured. A determination unit (120) determines whether or not a relation between the position of the product and the position of the advertisement satisfies a criterion. An output unit (130) outputs information indicating a determination result obtained by the determination unit (120).

A cross-entity and cross-retailer platform is provided that captures transaction data (and/or browser history data associated with online browser-based transactions), indexes, and stores the data in a cloud-accessible data store. A cloud service is provided that custom processes retailer and entity-defined workflows based on purchase transactions using the data store. The service discovers and updates trends and patterns associated with item sales for a given retailer or for a given entity across channels associated with in-store and online item sales. The trends and patterns are dynamically reported to the corresponding entity or the corresponding retailer. The entities may comprise manufacturers of an item, a supplier of the item, a distributor of the item, and a Consumer Packaging Goods (CPG) company of the item.

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.