Generating leads using Internet of Things devices at brick-and-mortar stores

A computer-readable storage medium storing instructions that, when executed, cause a computing device to generate leads using IoT devices at a brick-and-mortar store, the instructions comprising:

• receiving detected sensor data from at least one of the IoT devices or consumer devices indicative of a consumer interacting with a product, wherein the one or more IoT devices comprises a camera, and wherein the detected sensor data from the camera comprises an indication of a facial expression of the consumer;
• determining one or more interactions of the consumer with the product based on a comparison between the detected sensor data and stored sensor data, wherein the stored sensor data is included within mapping information, and wherein the mapping information comprises the stored sensor data that is mapped to sets of predefined interactions, each set of predefined interactions comprising a first predefined interaction and a second predefined interaction, wherein the first predefined interaction and the second predefined interaction correspond to a first precomputed score and a second precomputed score, each indicating corresponding conversion rates;
• retrieving a precomputed score for each of the first predefined interaction and the second predefined interaction;
• based on the set of predefined interactions, calculating a leads score indicating an interest level of the consumer in the product based on the first precomputed score of the first predefined interaction and the second precomputed score of the second predefined interaction;
• determining that the leads score exceeds threshold;
• and
• generating a lead for the consumer and the product based on the leads score exceeding the threshold.

A system comprising:

• one or more hardware processors and memory configured to provide computer program instructions to the one or more hardware processors that, when executed by the one or more hardware processors, causes the one or more processors to perform actions comprising:
• receiving detected sensor data from at least one of one or more consumer devices or one or more Internet of Things (IoT) devices at a brick-and-mortar store, wherein the one or more IoT devices comprises a camera, and wherein the detected sensor data from the camera comprises an indication of a facial expression of the consumer;
• storing mapping information for sets of predefined interactions in an interactions storage, each mapping identifying stored sensor data that represents a predefined interaction, the interactions storage also configured to store a pre-computed score assigned to each predefined interaction;
• determining one or more interactions with a product based on a comparison between the detected sensor data and stored sensor data, wherein the stored sensor data is included within the mapping information, and wherein the mapping information comprises the stored sensor data that is mapped to the sets of predefined interactions, each set of predefined interactions comprising a first predefined interaction and a second predefined interaction, wherein the first predefined interaction and the second predefined interaction correspond to a first precomputed score and a second precomputed score, each indicating corresponding conversion rates;
• retrieving scores from the interactions storage for the first predefined interaction and the second predefined interaction identified from the detected sensor data;
• based on the set of predefined interactions, calculating a leads score based on the first precomputed score of the first predefined interaction and the second precomputed score of the second predefined interaction, the calculated leads score indicating an interest level of the consumer in the product;
• and
• determining a lead for the consumer for the product based on the leads score exceeding a threshold.