Artificially Intelligent Smart Campaigns
Provided herein are exemplary embodiments including a computer-implemented method of using artificial intelligence for automatically collecting and enriching network data for a smart campaign with autopilot features. The method includes, collecting a set of network data relevant to a smart campaign with autopilot features, applying one or more transformations to the collected set of data to create a modified set of data, generating from the modified set of data, enriched network data for a smart campaign with autopilot features, the enriched network data having content, context and event data, and using the enriched data to deploy a personalized campaign by identifying an audience, time, channel, content and goal of the communication.
1 . A computer-implemented method of using artificial intelligence for automatically collecting and enriching network data for a smart campaign with autopilot features, the method comprising:
collecting a set of network data relevant to a smart campaign with autopilot features;
applying one or more transformations to the collected set of data to create a modified set of data;
generating from the modified set of data, enriched network data for a smart campaign with autopilot features, the enriched network data having content, context and event data; and
using the enriched data to deploy a personalized campaign by identifying an audience, time, channel, content and goal of a communication.
2 . The computer-implemented method of claim 1 , the collecting further comprising: scraping a website or receiving data through a feed, data warehouse or from a database.
3 . The computer-implemented method of claim 1 , further comprising:
the artificial intelligence applying one or more transformations to the collected set of data to create the modified set of data, including adding context to the collected set of data.
4 . The computer-implemented method of claim 1 , further comprising:
the artificial intelligence applying one or more transformations to the collected set of data to create the modified set of data, including adding collected event information.
5 . The computer-implemented method of claim 1 , further comprising:
the artificial intelligence using the content, the context and the event information to identify who would be interested in the content, the context and the event information.
6 . The computer-implemented method of claim 1 , further comprising:
the artificial intelligence automatically determining when to send a message.
7 . The computer-implemented method of claim 1 , further comprising:
the artificial intelligence generating in a message a recommendation related to the enriched content.
8 . The computer-implemented method of claim 1 , further comprising:
the artificial intelligence biasing in a message a recommendation towards context.
9 . The computer-implemented method of claim 1 , further comprising:
the artificial intelligence generating message copy related to the context.
10 . The computer-implemented method of claim 1 , further comprising:
the artificial intelligence including in a message a promotion or a discount related to the context.
11 . The computer-implemented method of claim 1 , further comprising:
the artificial intelligence including in a message an originally scraped image or an AI composed image related to content or context.
12 . The computer-implemented method of claim 1 , further comprising:
the artificial intelligence measuring performance of a message or a campaign of messages.
13 . The computer-implemented method of claim 1 , further comprising:
the collected set of network data relevant to a smart campaign with autopilot features including: content, context, event data, retailers' websites including new banners, hero images, coupons, discounts, promotions, how retailers' websites merchandising/site management team categorizes content, categories and/or products currently being promoted, upcoming promotions on categories or products, product-category combinations, shopper demographic, shopper preferences, shopper state, weather forecasts, severe weather events, product information, sports teams, and themes.
14 . The computer-implemented method of claim 1 , further comprising:
the artificial intelligence constantly scraping and monitoring a retailer's website for new banners, images, coupons, discounts, or promotions.
15 . The computer-implemented method of claim 14 , further comprising:
the artificial intelligence downloading the new banners, images, coupons, discounts, or promotions and enriching them with context and automatically using them in a campaign.
16 . The computer-implemented method of claim 1 , further comprising:
the artificial intelligence constantly scraping and monitoring a retailer's website for how the retailer categorizes content and what categories and/or products that are currently being promoted.
17 . The computer-implemented method of claim 1 , further comprising:
the artificial intelligence enriching the content with context.
18 . The computer-implemented method of claim 1 , further comprising:
the artificial intelligence enriching scraped content with context, including a product or category description.
19 . The computer-implemented method of claim 1 , further comprising:
the artificial intelligence enriching the content with context, including adding relevant life, world, or weather events that would cause communication about the content with context.
20 . The computer-implemented method of claim 1 , further comprising:
the artificial intelligence generating based on collected content and context, new banners, images, coupons, discounts, or promotions.
21 . The computer-implemented method of claim 20 , further comprising:
the artificial intelligence utilizing the new banners, images, coupons, discounts, or promotions and enriching them with context and automatically using them in a smart campaign.
22 . The computer-implemented method of claim 1 , further comprising:
calculating a plurality of revenues generated by sending a plurality of different messages to different audiences over a plurality of predefined time intervals.
23 . The computer-implemented method of claim 22 , further comprising:
using artificial intelligence to determine content, context and event data to achieve a goal.
24 . The computer-implemented method of claim 23 , further comprising:
the goal being maximum revenue or profit.