With the step-by-step Project Setup, get immediate insights to share directly with sales and marketing teams. Plug in any historical lead information, marketing touchpoints, customer interaction data, and custom conversion rate targets to build accurate ML lead scores in a matter of a few clicks.
Evaluate revenue-weighted conversion rates and directly assess the impact of marketing spend. Lead valuation intelligence uses both conversion probability and estimated customer value post-conversion. Focus on the highest-value leads to optimize both marketing and sales efforts.
Enhance the understanding of historical customer performance, conversation rates, and revenues in the context of lead scoring optimization. Leverage the built-in analysis and expand as needed with business-friendly visual analytics to adjust to each business context.
Evaluate the impact of insights with quick and insightful analyses of key features, then identify potential new data sources that can add value. Improve marketing return on investment and enhance lead conversion rates by targeting the solution’s ML towards the highest value leads. Leverage powerful, business-friendly explainability features to refine modeling approach with marketing and sales teams, and build confidence in ML-generated insights.
The Dataiku Solution for Lead Scoring helps answer a broad range of questions like:
Take advantage of powerful analytics that provide insight at both the aggregate and individual lead level, adding value for any personalized marketing plan. The Dataiku Solution for Lead Scoring is ready out of the box or adjustable to fit any business specificities using its well-structured visual flow.
Shift your business away from traditional lead scoring using hard-coded rules, with trust and empowerment from your marketing and sales teams. One delivered, optimizing lead scoring is just the start: promptly move the ML-enriched segmentation, next best offer, omnichannel strategies, or marketing mix modeling, and enhance practices with Gen AI content generation, all within a scalable, future proof data platform.
A composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:
reduction in time spent on data analysis, extraction, and preparation.
reduction in time spent on model lifecycle activities (training, deployment, and monitoring).
return on investment
net present value over three years.