Abstract: Techniques are provided for adapting an advertising campaign based on real-time analysis of campaign metrics for a concurrent advertising campaign. As one advertising campaign runs, parameters of the campaign are updated to incorporate insights from another advertising campaign. In one embodiment, parameters of the campaign are updated to boost performance of a portion of the advertising campaign determined to be particularly responsive based on the campaign metrics from another campaign. The campaign metrics may be measured using real-time, single-question surveys across segmented portions of the target audience and may be used to generate correlations between the target audience and marketing objectives sought.

Abstract: The present invention generally relates to a marketing strategy to measure the impact of internet advertisements on users who utilize social media networks. The social media networks choose to release only a certain amount of data such as the number of visits to a particular webpage within the social media network, the number of users who like the particular webpage, etc. With an advertisement, it is hoped that the number of users who visit or like the particular webpage will increase. The effectiveness of the advertisement is measured based upon the actual increase in the number of users who visit or like the webpage compared to the expected increase in the number of users in absence of the advertisement. The expected increase in the number of users is calculated based upon historical trends for the webpage in question.