Ebsta Forecasting vs SalesInsights

Ebsta Forecasting helps sales teams examine deal risk, understand forecast changes and submit forecasts supported by deal evidence. Revenue Intelligence includes projected revenue, forecast roll-ups, trends, pacing, submissions and a waterfall chart. Pipeline views add trends, benchmarks, deal scores, positive and negative deal factors, and funnel analytics. Ebsta analyzes pipeline factors to help managers assess the likelihood that forecast deals will close. The product lists deal risk alerts, AI forecasting, recommended actions and forecast customization. Salesforce and HubSpot are CRM integrations; the pricing comparison also lists Gmail, Outlook/Office 365, Zoom, Teams and Slack integration features. The product runs on the web and as an extension. The vendor offers a 14-day free trial with unlimited access to Conversation Intelligence, Relationship Intelligence and Revenue Intelligence. Paid pricing is available on request. Ebsta was founded in 2012 and is headquartered in London, UK. The vendor says the platform and data are hosted on AWS US-East, and that it is ISO 27001 compliant with encryption in transit and at rest.

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.