Case Study: Lead Scoring Model
Develop a Lead Scoring model (rank order prospects list) to maximize New Accounts Operations
Ask: Build a Lead Scoring Model to maximize outbound Sales Operations
By Focusing on top X% prospects list maximize Y% conversion rate
Build a AI model to Rank order the prospect list daily by the probability of conversion
Business Questions
Can we leverage the internal web signal data to build the model and optimize the leads
Measure the buy intent from our own web traffic to prioritize leads for outbound sales efforts
VIA: Enable Data Driven Decisions
Business Strategy is driven by Models trained on high quality data
Applying VIA ( Value, Information, Analytics) framework
Leverage Model Foundry to build model and Use FlowX to deploy
Model Foundry marketing recipe was leveraged to develop the model, in two weeks
Leveraged the web traffic data and built models using Model Foundry Marketing Recipe, to rank order prospect list
Results - Success !!
We are able to convert 89% of the leads, by focusing on top 50 percents of prospect list