Rigorous, data-driven qualification frameworks that ensure every lead reaching your sales team meets a documented, board-defensible standard — eliminating pipeline inflation, improving forecast accuracy, and maximizing the productivity of your revenue organization.
Inaccurate pipeline qualification is among the most costly and least visible problems in enterprise sales operations. When marketing-generated leads fail to meet genuine sales criteria, the consequences cascade: SDR time is wasted on unqualified prospects, CRM data becomes unreliable, forecast accuracy deteriorates, and sales and marketing alignment breaks down at the executive level. Claritas designs lead qualification and scoring architectures that align marketing, SDR, and field sales teams around a single, evidence-based definition of a qualified opportunity — one that reflects the true behavioral and firmographic attributes of accounts that close, not those that merely engage.
A structured methodology refined across hundreds of enterprise engagements.
We analyze your closed-won and closed-lost data to identify the firmographic, technographic, and behavioral attributes that most reliably predict successful outcomes — building empirical qualification criteria grounded in your actual revenue history.
A multi-dimensional scoring model is designed incorporating fit score (firmographic and demographic attributes), engagement score (behavioral signals across channels), and intent score (third-party buying signals) — giving a composite view of lead quality that no single dimension can provide.
We facilitate structured alignment sessions between marketing and sales leadership to define agreed MQL and SQL criteria, handoff protocols, and feedback loops — ensuring the qualification framework is operationally adopted, not theoretically documented.
Scoring models are implemented within your marketing automation platform and synchronized bidirectionally with your CRM — ensuring score data is accessible to both marketing and sales in real time, with field mapping that integrates with existing reporting infrastructure.
Quarterly model reviews compare predicted versus actual conversion outcomes, with recalibration applied when drift exceeds defined thresholds. A governance framework ensures the scoring model evolves with your market and product without requiring full redesign cycles.
What we deliver.
Engage Claritas to design and implement a qualification framework that eliminates pipeline inflation and restores forecast confidence.