Copilot-assisted model creation
Copilot analyzes connected data and suggests a lead-scoring model that users can review and edit. The site describes a setup flow that creates a model in seconds with a few clicks.
Breadcrumbs
Lead scoring for revenue teams using fit and intent data across sales-assisted and product-led motions.
What is Breadcrumbs?
Breadcrumbs is a lead-scoring platform for marketing and sales teams working across sales-assisted, product-led, and hybrid go-to-market motions. It brings marketing, sales, and product data together to build scoring models that identify promising prospects, customers suited to expansion, and accounts showing churn risk. Teams can create and refine models while reviewing the attributes behind each score, using scoring insights to support funnel decisions.
What can Breadcrumbs do?
Customizable scoring models
Create and adjust scoring models with access to the Breadcrumbs scoring engine. The platform supports building and testing multiple models for different revenue objectives.
Model comparison and attribute analysis
Compare scoring hypotheses and use Reveal to identify attributes that may predict revenue, supporting more objective discussions between marketing and sales.
GTM data connections
No-code connectors and native OAuth integrations bring marketing, sales, and product data into one workspace; an API is also available for data connections.
Score explanations and analytics
Sellers can review the fit and intent data behind an individual score. Explore provides a unified view of connected GTM data, trend analysis, and analytics across the scoring engine.
Machine-learning-informed prediction
Machine learning helps identify attributes associated with revenue and can update its analysis as more data is introduced.
Use Cases
“Prioritize leads for sales follow-up”
Use fit and intent signals to help sales teams identify promising leads and understand why a score was assigned.
“Improve MQL-to-opportunity progression”
Marketing and sales teams can use scoring models to assess lead quality and align on which prospects should advance through the funnel.
“Find expansion opportunities”
Build a model around customer and product data to surface existing customers who may be ready for an upgrade.
“Identify retention risks”
Apply scoring to customer data to identify accounts that may be at risk of churn and inform retention work.
“Test revenue hypotheses”
Create and compare models for different acquisition, expansion, or retention objectives, and iterate without changing operational systems.
Frequently Asked Questions
Does Breadcrumbs support product-led and sales-assisted motions?
Yes. The site describes support for sales-assisted, product-led, and hybrid go-to-market strategies.
Can users understand why a lead received a particular score?
Yes. Sellers can access a detailed breakdown of the fit and intent data used to generate each score.
How are scoring models created?
Users can build models themselves or use Copilot to analyze connected data and suggest a model, which remains editable.
What data can be brought into Breadcrumbs?
The platform is described as connecting marketing, sales, and product data through no-code connectors, native OAuth integrations, and an API.
Quick Facts
- Product category
- Lead-scoring platform
- Primary users
- Marketing and sales teams
- Supported motions
- Sales-assisted, product-led, and hybrid
- Data sources
- Marketing, sales, and product data
- Website
- breadcrumbs.io
Breadcrumbs Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 72
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