METHOD AND APPARATUS FOR CONVERSATION TARGETING
The disclosed embodiments relate to a method, apparatus, and non-transitory computer-readable medium for placing content in conversations. An exemplary method comprises determining intersecting data based on a conversation data and marketing data, the marketing data being associated with content that is adapted for placement relative to one or more conversations, and creating a conversational model based on the intersecting data, the conversational model including data that is relevant to both the conversation data and the marketing data, wherein the conversational model is adapted to be used to place the content relative to at least one of the one or more conversations.
1 . A computer-implemented method executed by one or more computing devices for placing content in conversations, the method comprising:
determining, by at least one of the one or more computing devices, intersecting data based on conversation data and marketing data, the marketing data being associated with content that is adapted for placement relative to one or more conversations; and
creating, by at least one of the one or more computing devices, a conversational model based on the intersecting data, the conversational model including data that is relevant to both the conversation data and the marketing data, wherein the conversational model is adapted to be used to place the content relative to at least one of the one or more conversations.
2 . The method of claim 1 , wherein the conversation data includes data from a webpage.
3 . The method of claim 1 , wherein at least one predictor influencer contributed to the conversation data.
4 . The method of claim 1 , further comprising identifying one or more conversation topics from within the conversation data.
5 . The method of claim 4 , further comprising identifying one or more aspects of at least one of the one or more conversation topics.
6 . The method of claim 1 , wherein the marketing data includes marketing collateral.
7 . An apparatus for placing content in conversations, the apparatus comprising:
one or more processors; and
one or more memories operatively coupled to at least one of the one or more processors and storing instructions that, when executed by at least one of the one or more processors, cause at least one of the one or more processors to:
determine intersecting data based on conversation data and marketing data, the marketing data being associated with content that is adapted for placement relative to one or more conversations; and
create a conversational model based on the intersecting data, the conversational model including data that is relevant to both the conversation data and the marketing data, wherein the conversational model is adapted to be used to place the content relative to at least one of the one or more conversations.
8 . The apparatus of claim 7 , wherein the conversation data includes data from a webpage.
9 . The apparatus of claim 7 , wherein at least one predictor influencer contributed to the conversation data.
10 . The apparatus of claim 7 , further comprising instructions that, when executed by at least one of the one or more processors, cause at least one of the one or more processors to identify one or more conversation topics from within the conversation data.
11 . The apparatus of claim 10 , further comprising instructions that, when executed by at least one of the one or more processors, cause at least one of the one or more processors to identify one or more aspects of at least one of the one or more conversation topics.
12 . The apparatus of claim 7 , wherein the marketing data includes marketing collateral.
13 . At least one non-transitory computer-readable medium storing computer-readable instructions that, when executed by one or more computing devices, place content in conversations, the instructions causing at least one of the one or more computing devices to:
determine intersecting data based on conversation data and marketing data, the marketing data being associated with content that is adapted for placement relative to one or more conversations; and
create a conversational model based on the intersecting data, the conversational model including data that is relevant to both the conversation data and the marketing data, wherein the conversational model is adapted to be used to place the content relative to at least one of the one or more conversations.
14 . The computer-readable medium of claim 13 , wherein the conversation data includes data from a webpage.
15 . The computer-readable medium of claim 13 , wherein at least one predictor influencer contributed to the conversation data.
16 . The computer-readable medium of claim 13 , further comprising instructions that, when executed by at least one of the one or more processors, cause at least one of the one or more processors to identify one or more conversation topics from within the conversation data.
17 . The computer-readable medium of claim 16 , further comprising instructions that, when executed by at least one of the one or more processors, cause at least one of the one or more processors to identify one or more aspects of at least one of the one or more conversation topics.
18 . The computer-readable medium of claim 13 , wherein the marketing data includes marketing collateral.
19 . A computer-implemented method executed by one or more computing devices for placing content on a webpage, the method comprising:
creating, by at least one of the one or more computing devices, one or more conversation tags corresponding to a conversation on a webpage;
determining, by at least one of the one or more computing devices, content for placement relative to the conversation based at least one of the conversation tags; and
placing, by at least one of the one or more computing devices, the content on the webpage relative to the conversation.
20 . The method of claim 19 , further comprising analyzing the conversation and another conversation.
21 . The method of claim 19 , wherein the content is associated with at least one of a promoted comment, an advertisement, and a widget.
22 . The method of claim 19 , further comprising transmitting information related to at least one of the conversation, the conversation tags, the content, and the webpage.
23 . The method of claim 19 , wherein the content corresponds to marketing collateral.
24 . The method of claim 19 , wherein the content corresponds to one or more products or services.