Salesforce Sales Analytics

Name: Salesforce Sales Analytics
Brand: Salesforce

Leader

We're the #1 AI CRM—where humans with agents drive customer success together.

Est 1999|Valuation $203.1B|Raised $43.2B|101 Ref Customers

LinkedIn 6.7M|Website|Web traffic 78.5M|FTEs 83,334|HQ San Francisco, California, US

MarketsBusiness Intelligence (BI) and Analytics Sales Forecasting

01Competitive Landscape

Narrative competitive analysis

- Salesforce-native vs general BI: For analytics that must be embedded directly in Salesforce with inherited record-level security and actionability from the CRM, a native offering has clear integration advantages. - Power BI advantage: Lower entry list pricing for many deployments and a broad custom visuals ecosystem; strong fit for Microsoft-centric organizations. - Tableau advantage: Perceived as mature for exploratory analytics and flexible visualization; Salesforce positions Tableau and CRM Analytics as complementary (deeper analysis vs operational embedded analytics).

Customer sentiment comparing to competitors

Community comparisons often note tradeoffs: CRM Analytics offers integration advantages for Salesforce workflows but has limitations in usability and flexibility compared with Power BI and Tableau.

Adoption trends

Salesforce continues to position analytics within its broader data and AI strategy. Standalone adoption metrics for a labeled "Sales Analytics" SKU are not typically published.

	Salesforce Sales Analytics (via CRM Analytics)	Microsoft Power BI	Tableau (Cloud)
Starting Price	Annual per-user CRM Analytics tiers (entry through premium)	Per-user annual pricing with lower-entry list tiers	Per-user annual pricing with creator/viewer differentiation
Typical Use Case	Salesforce-first organizations needing embedded, permission-aware analytics and actions	Organizations in the Microsoft ecosystem; cost-effective, broad BI	Organizations needing advanced visualization and flexible BI deployment
Key Strength	Native Salesforce embedding and permission inheritance	Lower per-user list pricing for many deployments and large Microsoft integration ecosystem	Rich visualization capabilities and mature BI feature set
Key Weakness	Higher per-user cost and licensing model for broad sharing; reported UX concerns	Governance and model management complexity at scale without BI ops discipline	Can be costly at scale; separate from CRM workflows unless specifically embedded