ObjectiveIdentify the optimal sales-employee profile from performance and interaction data — isolating the traits and skills that drive results, to sharpen hiring and training.
The challengeLeadership needed a data-backed answer to a core question central to revenue growth and salesforce management: “What is the right salesperson profile for hiring?”
Approach & analysis- Focused on Relationship Managers — the entry sales role contributing 53% of revenue and 83% of the salesforce.
- Broke monthly performance into bands and tested traits for statistical significance.
- Ran univariate and multivariate analysis (highlight tables, Sankey charts), separately for males and females.
Key insights- Female staff averaged ~81% revenue achievement — about 10% higher than males.
- The 26–30 age group performed best, averaging ~83% achievement.
- Master’s-degree holders averaged ~80% vs ~73% for Bachelor’s.
- Staff with 1–3 years of banking/insurance experience averaged ~93% achievement.
Solution- HR, Business Development and Sales jointly revised candidate shortlisting criteria to match the profile.
- Established monitoring criteria to review candidate performance periodically and test the strategy.
Results40% → 30%Sales staff turnover
↑ Year-on-yearSales team performance
LowerTraining cost & non-performer loss