Hey all, not sure if I'm the only one that would love a predictive tool for clients that have long sales cycle.
For example a webinar funnel client.
Because leads we generate on Day 0 wouldn't convert until let's say Day 7 or Day 10.
So campaign optimization is slow everytime a new test is rolled out.
My idea for such a tool is:
- it collects whatever data is possible of a lead whenver they signup
- AI model looks at behaviors/data of each lead that converted into a sale
- assign a weight or dollar value whenever a new lead has behaviors/data that the model has detemined increases probability to convert into a sale
- media buyer optimizes campaign based on predicted lead value
- we then measure if such model works by seeing if the actual ROAS value matches up with predicted lead value ROAS
Am I making sense? haha
I haven't been able to find such a tool so far.