How to fix leakage in your revenue stream with a free SaaS tool

Revenue leakage is common in the service industry. Most times, it happens due to poor implementation, delayed projects in the client end, miscommunication, delayed payment, etc.

With the wide adoption of the Salesforce CRM platform, Salesforce custom development has become a major service vertical over the years.

Custom development in the Salesforce platform is increasing rapidly with a certified workforce. But testing and integrating Salesforce data and metadata is still a challenge. This is still a labor-intensive division that creates a massive leakage in your revenue stream.

Read this post to understand the common revenue leakage challenges and how we help you to overcome these challenges with a free SaaS tool.

Cover General Code Review Cost

According to research, software defects cost the US economy more than $60 billion every year. It is expensive! So, you always need a low-cost mechanism to deliver error-free code to production. We are using a diagram to show code reviewing costs.

Salesforce Metadata Migration Cost

Leave the cost! How much time does it require to move the Salesforce metadata from development to deployment?

The code has to move through the gateway of testing and integration. The testing gateways itself comprises various stages like unit testing, UAT, QA, etc. Hence, it costs you more people, time, and money. We have created a standard Salesforce metadata reviewing expenditure model:

  • People per review
  • Total number of developers
  • Defects found per review
  • Hours spent per review
  • Labor cost per hour
  • Total number of reviews per month

For example:

  • 3 people involved in each code review
  • A team of a total of 25 developers
  • 5 defects found per review
  • 2 hours spent on each review
  • $50 per hour in labor costs
  • 20 reviews each month

This Salesforce metadata reviewing expenditure model shows a heavy expense. Hence, adopting DevOps is a smart idea. It bridges the gap between development and operation with continuous integration and delivery (CI/CD) to deploy error-free metadata on the production. It enables automation in this labor-intensive stage.

Cover the Cost of Deployment

Salesforce metadata deployment cost differs from vendors to vendors. But most of the present deployment tools are not free tools. In such a situation, your expenditure breakup would be:

  • Cost of the tool (around $299 monthly)
  • Cost of QA ($50 per hour one person)
  • Cost of deployment (depends on the vendor)

If you get a free Salesforce DevOps tool you only need to pay for just:

  • Cost of QA ($50 per hour one person)
  • Cost of deployment (depends on the vendor)

Save time by connecting to multiple Salesforce instances

Multiple sandboxes come with multiple logins. It takes lots of effort and time to log into different Salesforce sandboxes. Most times, you need to use two different platforms to access metadata in both the production and testing environments.

Typically, creating a new sandbox or refreshing one takes a few hours. Log in to different sandboxes on different platforms add more time to the process. Let’s discuss it through a tentative time spending model:

  • The time required in creating or refreshing Sandboxes: 2 hours
  • The time required to login to different sandboxes on different platforms: 1 hour

But with a Salesforce DevOps tool, you can access multiple sandboxes including production and testing on a single integrated platform. So, technically you save 1 hour extra and you can use it to concentrate on your business goals.

Is Skebot a solution?

Skebot is a Salesforce DevOps platform that helps in many phases of the development lifecycle. Although development happens outside the Skebot architecture. It empowers the Salesforce admins to view every activity and matrics on a real-time dashboard. Let’s discuss how Skebot being a SaaS tool help you to fix the leakage in your Salesforce revenue stream:

  • Saves your Salesforce code review cost by 75% coverage: Skebot enables CI/CD in your Salesforce development lifecycle. When a developer submits code in Skebot, it auto-detects the code coverage. If the code coverage is below 75%, the Salesforce admin can import the data and assign it back to the developers.
  • Saves Salesforce metadata migration cost: Skebot covers both production and QA sandboxes on a single integrated platform. It saves your time up to 30%.
  • Save time with Connect features: Skebot empowers the Salesforce admin to connect to multiple Salesforce orgs and instances on a single platform.
  • You don’t need any investment: Unlike others, Skebot is a free-to-use Salesforce DevOps tool. You just need to log in to Skebot with Salesforce ID. (No download, install, or setup). It’s coming on the AppExchange soon!

If you want to save your time and money with Skebot, feel free to talk to our experts today.