Generating message effectiveness predictions and insights

A computer-implemented method comprising:

• receiving a message for use in a computer network environment;
• parsing the message into message elements and processing the message elements through a natural language processing (NLP) component;
• converting the message elements into a first set of vectors and mapping the first set of vectors in vector space based on processing the message elements through a model;
• generating a first score indicative of a predicted conversion rate for the message;
• generating a contribution score for each message element of the message elements, each contribution score being indicative of an amount that a respective message element contributes to the predicted conversion rate;
• determining that the contribution score of a first message element is below or outside of a threshold score, the first message element being below or outside the threshold score is indicative of the first message element not contributing enough to the predicted conversion rate to be a part of the message;
• and
• based at least in part on the determining that the contribution score of the first message element is below or outside of the threshold score:
• providing a second message element as a candidate to replace the first message element, or providing the first message element as a candidate for removal from the message.

A computerized system comprising:

• a parsing means for parsing a message into message elements and processing the message elements through a natural language processing (NLP) component, the message being indicative of a candidate advertisement for one or more services or one or more products;
• a vectorization means for converting the message elements of the message into a first set of vectors and mapping the first set of vectors in vector space;
• a conversion prediction means for generating a message effectiveness score based at least in part on the converting, the message effectiveness score being associated with a predicted conversion rate;
• a word contribution scoring means for generating a contribution score for each message element of the message elements, each contribution score indicative of an amount that a respective message element contributes to the predicted message effectiveness score;
• and
• an alternative word contribution scoring means for providing at least a second message element as a candidate to replace a first message element within the message based at least in part on the contribution score for the first message element.