1. Audience

Management consultants advising B2B technology companies on growth strategy, sales productivity, and GTM execution.

2. Client Context

A leading global public SaaS provider had experienced several disappointing quarters. Expected win rate for new logo opportunities had declined to 12%, down from approximately 20% in prior years.

3. Situation

The company needed to revive growth, but the issue was not simply pipeline volume. Leadership needed to understand whether sellers were pursuing the right accounts and whether the organization had enough visibility into lead and pipeline quality.

4. Analysis and Intervention

Using Cien, the consulting partner analyzed current seller behavior and found that hunters were not consistently targeting the highest-propensity new logo accounts.

The team implemented new targeting mechanisms to guide sellers toward better-fit prospects and created monitoring routines to track lead quality and pipeline quality over time.

Cien enabled this work through propensity models that identified which accounts were most likely to convert, helping the consulting partner translate CRM data into targeted seller actions.

5. Outcome

The initiative identified an annual opportunity of $180M in new logo bookings.  The client also expanded its work with the consulting partner across multiple areas, creating new confidence in the partner’s growth practice. $20M was realized during the engagement (extended 2 months)  due to the speed at which the advice was delivered, and the transformation started. 

6. Why It Matters for Management Consultants

This case shows how consultants can move beyond broad GTM recommendations and identify specific seller behaviors that affect win rate. The consulting partner used AI-enabled analysis to connect targeting quality, seller focus, and revenue outcomes. The speed to insight was crucial in winning additional engagement and seeing actual value realization during the engagement.

7. Discussion Questions

1. How should consultants distinguish between a pipeline quantity problem and a pipeline quality problem?
2. What operating metrics should be monitored after a new targeting model is introduced?
3. How can consultants help sales leaders adopt AI-driven account recommendations without disrupting seller autonomy?

About Cien.ai’s Case Studies

This post is part of our efforts to provide our community with real-world examples of how our customers are solving complex challenges and achieving measurable growth using our platform. If you want to educate yourself further on AI, Data, RevOps, and effective B2B growth strategies, please check out our Data Exec Series, Practical RevOps Analysis Series, and Growth Essentials Series.