Sales Cloud

The Real Problem

Your team has Salesforce. Your reps are still working out of email, spreadsheets, and memory. Deals get logged late. Pipeline is a fiction. Forecast calls are guesswork dressed in CRM language. You have a CRM problem, but the real issue is that your Sales Cloud was implemented for the way Salesforce works, not the way your team sells.

Digital Mass builds Sales Cloud environments that match your actual sales process, with automation that removes friction instead of adding it, and analytics that give managers signal instead of noise.

What We Build

From territory design to AI-powered forecasting, we build the full commercial architecture on Salesforce. Engineered around how your team actually sells, not around what ships out of the box.

Sales Process Architecture

We design your opportunity stages, entry and exit criteria, required fields, and pipeline hygiene rules around how your best reps actually close deals. Not around Salesforce defaults.

Territory & Quota Management

Model, deploy, and rebalance sales territories at the speed of your business. Set equitable quotas tied to real capacity data.

Revenue Cloud & Quote-to-Cash

We implement Revenue Cloud for complex product catalogs: tiered pricing, bundle configuration, approval workflows, and contract management that compresses turnaround from weeks to hours.

Forecasting & Pipeline Intelligence

Einstein Forecasting, custom forecast categories, and Tableau dashboards replace gut-feel with real signal. Your forecast is only as good as your pipeline data. We fix the upstream too.

Partner & Channel Sales

Experience Cloud partner portals with deal registration, co-selling workflows, MDF management, and channel performance reporting.

Einstein AI & Agentforce

Einstein Lead Scoring surfaces the opportunities most likely to close. Agentforce Sales Agents autonomously handle prospecting follow-up, meeting scheduling, and pipeline updates.

Common Pain Points We Solve

• "Our pipeline data is unreliable because every rep enters deals differently."
• "Quoting takes two weeks because everything goes through spreadsheets and email."
• "We can't forecast accurately because we don't know where deals actually stand."
• "Our reps see Salesforce as a reporting tax, not a selling tool."
• "We have partner channels but no visibility into what they're actually selling."

Outcomes

• Reps spend more time selling, less time on data entry
• Forecast accuracy improves when pipeline hygiene is enforced at the process level
• Quote turnaround drops dramatically with Revenue Cloud automation
• Sales managers get actionable pipeline intelligence, not stale reports
• Channel partners generate incremental revenue with self-service portals

Typical Engagement Phases

Sprint Zero: Org audit, sales process mapping, territory and quota assessment, and delivery roadmap with honest LOE estimates.

Core Build: Opportunity stages, entry and exit criteria, pipeline hygiene rules, page layouts, required fields, and foundational reports.

Automation & Intelligence: Lead and opportunity automation, Einstein Forecasting and Lead Scoring, Revenue Cloud, and partner portal configuration.

UAT & Go-Live: User acceptance testing, rep and manager training, data migration validation, and production cutover with hypercare.

Technology

Salesforce Sales Cloud, Revenue Cloud, Einstein Lead Scoring, Einstein Forecasting, Agentforce Sales Agent, Experience Cloud, Tableau, Slack, CRM Analytics, Apex, Lightning Web Components