Skip to main content
K

Kittil

Kittil offers data-driven Ideal Customer Profile (ICP) scoring by applying logistic regression to a company’s win/loss data, automatically determining which firmographic and behavioral signals predict closed-won deals. The resulting model is backtested, kept live, and synced directly into Salesforce or HubSpot so reps see real-time target scores and recommended playbooks. Kittil also provides a free initial ICP analysis and a consultative implementation rather than a standalone SaaS subscription.

Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Sales and marketing teams often rely on manually assigned account scores or opaque AI models to define their Ideal Customer Profile (ICP), leading to inconsistent targeting, wasted effort, and missed revenue opportunities.

Solution

Kittil transforms a company's win/loss data into a regression‑derived ICP model that quantifies the predictive power of each firmographic and behavioral signal. By applying logistic regression, the platform automatically calculates variable weights that directly correlate with closed‑won outcomes, eliminating guesswork and black‑box AI. The resulting scores are synchronized in real time with Salesforce or HubSpot, ensuring that every rep sees up‑to‑date account priorities and recommended engagement tactics. Kittil delivers this through a consultative engagement that builds, backtests, and continuously updates the model, starting with a free initial analysis of key signals.

Target Audience

Primary customers are B2B sales and marketing organizations that need data‑driven account prioritization, particularly teams using Salesforce or HubSpot.

Features

  • Logistic regression on proprietary win/loss data to derive statistically grounded variable weights
  • Live scoring of accounts with over 750 data signals, continuously refreshed in the CRM
  • Seamless two‑way sync with Salesforce and HubSpot for real‑time visibility
  • Backtesting framework that validates model performance before deployment
  • Ongoing model maintenance and updates as new win/loss data become available
  • Free initial ICP analysis using firmographic and behavioral indicators
This profile is AI-generated and may contain inaccuracies.