Sprayqepa's portfolio demonstrates targeted, measurable income optimization across professional services, SaaS, and growth-stage businesses. Each case combines rapid diagnostics with prioritized implementation, ensuring early wins and durable operational changes. We include rigorous financial hypotheses and real-time metrics so leadership can validate progress and scale what works. Below are three representative engagements illustrating our approach and outcomes. These examples show how pricing redesign, monetization changes, cost-to-serve analysis, and dashboard-driven decisioning drive measurable revenue uplift, margin expansion, and recurring income growth.
A mid-stage SaaS company faced stalled ARPU and a complex legacy tier structure. We executed a 4-week diagnostics pilot, segmenting customers by usage and value, and tested three simplified packages. The selected package increased conversion on high-intent trials and improved upsell velocity. Within five months, recurring revenue mix rose 22% and churn decreased by 1.8 percentage points as onboarding and packaging aligned with customer outcomes.
An independent consultancy needed predictable income. We designed subscription-based advisory offerings and premium workshops, paired with tiered support. By packaging time-bound deliverables and predictable support, the client captured more retainers and reduced reliance on one-off engagements. Over three months, monthly recurring revenue increased by 28% and client lifetime value metrics improved materially.
A professional services firm experienced margin pressure from uneven client servicing costs. We built an activity-based cost model and prioritized low-value processes for automation and renegotiation with vendors. By rebalancing service tiers and introducing clearer SOWs, the firm reduced operational cost-to-serve by 13% while maintaining client satisfaction scores.
Every engagement begins with a focused diagnostic that uncovers the highest-impact levers. Diagnostics typically run 2–4 weeks and result in a prioritized roadmap that quantifies expected financial impact and implementation effort. We then run short, measurable experiments—pricing tests, packaging pilots, or operational pilots—so outcomes are validated quickly. Successful experiments move into implementation sprints where we support change adoption, system updates, and the deployment of performance dashboards. Finally, we hand over analytics tooling and operating routines so improvements are sustained. Our emphasis is on measurable dollars and percent lifts, transparent assumptions, and operational feasibility to ensure the improvements are real, repeatable, and durable.
If you have a specific case, share a few KPIs and we will prepare a concise diagnostics summary prior to our call. Typical starting points include conversion, ARPU, margin by segment, cost-to-serve, and recurring revenue percentage.
