Designing Cloud-Native Performance Management Platforms That Scale Across the Enterprise
Sales performance management (SPM) plays a key role in meeting predicted targets, ensuring fair compensation and keeping staff engaged.
As Gartner notes, performance management often falls short due to outdated systems and fragmented data, limiting organizations’ ability to effectively measure and optimize outcomes. This challenge is reflected more broadly in the market; research from Gallup found that only 14% of employees strongly agree that their performance reviews inspire them to improve, highlighting a persistent gap between intent and impact.
Part of the problem stems from aging and outdated sales performance management platforms that can’t keep pace with changing, incentive-based environments. Cloud-native solutions can help address this issue by laying the groundwork for comprehensive performance analysis, review and recommendations.
Key Features of Effective Sales Performance Management Platforms
SPM helps balance compensation with cost by providing visibility into sales operations. As sales organizations scale, however, tracking this data manually becomes time-consuming and error-prone. SPM platforms automate this process to equip management teams with the data they need.
Four features are critical for effective SPM platforms:
- Quota Setting: Creating realistic but challenging sales targets for staff that align with strategic goals. These quotas may be monthly, quarterly or yearly.
- Incentive Compensation Management (ICM): Higher commissions and rewards motivate sales reps but can negatively impact profit margins. SPM platforms should provide ICM analysis to help pinpoint the ideal balance.
- Territory and Capacity Planning: Overlapping and under-resourced territories can lead to capacity problems. Too many staff members working the same area means fewer opportunities for sales conversion, while single staff members working large areas without sustained support can result in lost leads. Analyzing market data can help optimize territory mapping and capacity assignments.
- Performance Analytics and Reporting: Effective SPM outputs depend on data. As a result, platforms must track KPIs such as conversion rates, deal sizes and sales velocities over both the short and long term.
The Nature of Cloud-Native Services for SPM Platforms
Historically, SPM platforms were hosted on-site. Increasing data availability and granularity, however, make locally hosted, manually tracked sales analysis virtually impossible.
The rise of cloud services prompted a shift. Instead of building out proprietary platforms, companies could purchase SaaS solutions that offered on-demand access to the compute, storage and analysis resources necessary for complete sales performance management.
What these platforms lacked, however, was control. Many sales organizations preferred to keep some (or all) of their sales data stored locally, and many first-wave cloud solutions weren’t transparent about how data was collected, stored and used.
Increasing cloud availability and maturity offer an alternative: Cloud-native development. Instead of building platforms for local stacks, teams could create SPM platforms designed to run natively in the cloud. The result was the best of both worlds: In-depth data collection and analysis paired with complete platform visibility.
Five Steps for Cloud-Native Scalability
So, what does it take to develop a cloud-native SPM platform that can grow alongside your business? Here are five steps to help get you started.
Step 1: Lay the Groundwork With Microservices
Microservices break down applications into smaller, independent units. This enables teams to create new apps and services using a building-block model. Instead of designing new solutions from scratch, they can repurpose existing microservices.
Step 2: Enable Portability With Containers
Containers allow applications and their dependencies to be packaged in isolation, enabling portability and simplifying deployment. Companies should also consider the use of container management tools such as Kubernetes to help reduce complexity.
Step 3: Streamline Deployment With CI/CD Pipelines and DevOps Teams
CI/CD takes an always-on approach to development and deployment. CI/CD teams can roll out improvements or updates multiple times a day.
DevOps teams, meanwhile, can carry out design and testing functions simultaneously, reducing the risk of applications that must be recalled and repaired after being deployed into production.
Step 4: Leverage IAC for Scalability
IAC solutions such as load balancing, decoupled servers, redundant instances and auto-scaling enable the rapid scalability of SPM platforms. Consider a company opening a new international sales office. Combining container-based applications with IAC frameworks makes it possible to deploy existing SPM platforms in a matter of hours or days instead of weeks.
Step 5: Prioritize SPM Transparency
Logs, metrics and traces are critical for cloud-native services. They help track and analyze operations to pinpoint possible problems and identify root causes. The more you know about what’s happening in your SPM platform and why, the better prepared you are to resolve small issues before they become big problems.
Sales Success at Scale: Going Cloud Native
The benefits of SPM include improved sales volumes, increased employee engagement and enhanced process visibility.
Cloud-native SPM platforms offer an additional advantage: Scalability. By taking a cloud-first approach to SPM design, companies can quickly scale sales performance management up or down as needed while ensuring that data used to inform quota, commission and capacity values is timely, accurate and reliable.
Need a better approach to SPM? Scale your sales performance management with cloud-native development and design.
