8 Proven Employee Retention Strategies in 2026
Sparkbay’s predictive module uses employee data and machine learning to generate real-time alerts for employee segments that show an increased risk of turnover, drop in satisfaction or other KPI changes.
Sparkbay captures feedback from the day your people join to the day they leave giving you meaningful insights into the employee experience over time.
Sparkbay uses feedback data from recently departed employees to uncover the real causes of turnover, empowering you to take early action and address the issues that matter.
Share partial results and trends with managers and team leads, enabling anyone to take actions to improve engagement levels.
Tap into our large dataset of employee insights to forecast employee turnover and uncover the reasons why.
Tap into what’s working in practice for real-world companies facing the same challenges.
Sparkbay helped us identify the issues leading to departure in two departments and reduce turnover by 10% in these departments.
Employee retention software helps you understand why employees leave and predict who is at risk. Sparkbay analyzes feedback and exits to reduce turnover.
Sparkbay analyzes recent departures together with engagement data to flag employees and teams at higher risk of leaving.
Yes. Sparkbay runs exit and offboarding surveys, and feeds that feedback into its turnover model.
Yes. Sparkbay complies with Quebec's Law 25 (Loi 25) and the EU GDPR. Employee personal data is pseudonymized, encrypted in transit and at rest, and access is role-based. Learn more about our Quebec (Loi 25) and France (GDPR) compliance.