AI Recommendation Engine for a Major Out-of-Home Advertising Network
Challenge
This organization operates one of the largest out-of-home advertising networks in its market. Every location, audience, and campaign leaves a trace, seven million data points in total. A considerable asset, but impossible to act on manually. While teams assembled proposals by hand, advertisers waited, and sometimes went elsewhere.
This organization operates one of the largest out-of-home advertising networks in its market. Every location, audience, and campaign leaves a trace, seven million data points in total. A considerable asset, but impossible to act on manually. While teams assembled proposals by hand, advertisers waited, and sometimes went elsewhere.
Solution
Webisoft built a sales recommendation engine that analyzes the network's full dataset and surfaces the most relevant locations and combinations for sales reps, based on each advertiser's objectives. The engine lives directly inside the client's existing connect platform, integrated with its Broadsign network. No new tool to learn: data-backed recommendations arrive right where teams already work.
Webisoft built a sales recommendation engine that analyzes the network's full dataset and surfaces the most relevant locations and combinations for sales reps, based on each advertiser's objectives. The engine lives directly inside the client's existing connect platform, integrated with its Broadsign network. No new tool to learn: data-backed recommendations arrive right where teams already work.
Results
Turnaround between an advertiser's request and a proposal dropped sharply. Response speed stopped being an operational detail and became part of the sales pitch itself. In a market where multiple networks compete for the same budgets, the one that responds first with the right combination wins the conversation.
Turnaround between an advertiser's request and a proposal dropped sharply. Response speed stopped being an operational detail and became part of the sales pitch itself. In a market where multiple networks compete for the same budgets, the one that responds first with the right combination wins the conversation.