RevenueGrid vs SalesInsights

RevenueGrid is a revenue intelligence platform that captures customer interactions and synchronizes them with a CRM. It collects emails, meetings, contacts and documents to show customer relationships, and is native to Salesforce for real-time integration and reporting. Activity Capture 360 provides automated and historical activity capture, an inbox and calendar sidebar in Salesforce, and online scheduling. Knowledge Capture adds AI chat and search across sales data, a revenue-grade data lake and record assistance. Revenue Grid Ultimate includes pipeline tools, forecasting, team analytics, deal guidance, sales cadences, meeting assistance and AI assistants. It integrates with Salesforce, Siebel, Zoom, GoToMeeting, 360 SMS App, Dropbox, Google Drive, SharePoint and Box. Deployment options are cloud, private cloud and on-premises, including EU data residency. It runs on Android, iOS, macOS, Windows and web, with extension and self-hosted options. Activity Capture 360 costs $30 a month billed user/month; Knowledge Capture costs $49 a month billed user/month; Revenue Grid Ultimate costs $149 a month billed user/month. A free trial is available; there is no free plan.

SalesInsights is a sales analytics platform that appears inside Salesforce CRM and guides teams through the revenue journey. Its sales AI views suggest next best actions, while coaching insights appear in Salesforce and through email alerts to managers and representatives. The platform organizes Salesforce data hygiene by importance, field, and team, showing missing information and accountability. It provides revenue forecasting, scenario planning, custom forecast horizons, and real-time tracking of forecast accuracy through accountable AI. SalesInsights currently operates on Salesforce, with more CRM integrations planned, and can be installed from Salesforce AppExchange. It runs on the web and uses CRM data sources. SalesChoice says the service is hosted on Amazon Web Services, encrypts data with TLS 1.2 or higher in transit and AES-256 at rest, and aligns its security framework with AICPA SOC 2 Trust Services Criteria for security, confidentiality, and availability. Customer data is logically segregated, while AI and machine-learning datasets are anonymized. Pricing is available on request.