rows of data
time to value
prediction accuracy
increased conversion
Background
Determining the value of each lead, including likely future conversion and spending, is a vital factor in deciding where to aim personalized sales efforts. Conversion models determine the likely revenue each individual customer will generate over the entire relationship and time it takes to convert them. Allowing sales reps to focus their efforts on those likely to be most revenue generating eventually closing deals faster.
A data labeling company in San Francisco wanted to predict which leads are likely to convert and proactively only target those leads. They had an in-house data science team that was focused on several large projects and didn’t have bandwidth to assist the sales team.
The Solution
With Obviously AI, the company instantly connected their historical data consisting of inputs like demographics, conversations made, and historical data of whether that lead converted or not in the past.
In just minutes, they had fully trained an AI model that can proactively predict lead conversion and provide preemptive strategy by demographics, time, product engagement, etc. These predictions were then fed directly into their CRM systems in real time!
The Results
Obviously AI was able to identify 78% more leads that are likely to convert and increased their internal efficiency building models by 4x, enabling the business team to build AI predictions without depending on the data science team.
See how no-code machine learning can transform your business. Book a demo now!
