When evaluating Amperity vs. Salesforce Data Cloud (formerly Customer 360), it’s important to recognize that while Salesforce markets a broad full-stack marketing vision, its CDP capabilities are still immature and often fail to deliver a unified customer view.
Salesforce Data Cloud appeals to organizations already heavily invested in Salesforce products, with native connectors to Sales Cloud, Service Cloud, and Marketing Cloud. However, the platform is costly, inflexible, and weak in identity resolution.
Amperity, by contrast, is purpose-built to solve the hardest data challenge first: creating a trusted, AI-powered, enterprise-grade foundation for customer data — proven at scale across the world’s largest brands.
Pros and Cons of Salesforce Data Cloud
Salesforce Data Cloud is the umbrella name for Salesforce’s CDP capabilities, bundled with Marketing Cloud and other Salesforce products.
Strengths
Deep Salesforce integrations: Works seamlessly with Marketing Cloud, Commerce Cloud, Ad Studio, Evergage
Einstein AI: Predictive capabilities embedded in Marketing Cloud
Commercial leverage: Salesforce can heavily discount Data Cloud to make its other products stickier
Account penetration: Trusted brand relationships give Salesforce wide organizational access
Limitations:
Weak identity resolution: Rules-based, manual maintenance; legacy Krux DMP lineage; privacy concerns
Rigid ingestion: CSV-only file ingest, fixed schema mapping; heavy reliance on MuleSoft ETL (3 FTEs, ~3 months)
Scalability caps: Limited to ~50M records
High costs & lock-in: Expensive to implement; ongoing dependency on Salesforce stack
Immature CDP maturity: Analysts and customers cite Salesforce 360 as barely 1.0; still a work-in-progress
Why Amperity
Amperity is the most comprehensive AI-powered enterprise CDP, designed to unify, govern, and activate customer data at scale. Unlike Salesforce Data Cloud, Amperity works across the entire ecosystem, not just a walled garden.
Key strengths:
Patented identity resolution (AmpID): Probabilistic + deterministic AI/ML stitching creates an an identity keychain across billions of records
Complete Customer 360 (Amp360): Prebuilt and predictive attributes; hundreds of audience and insight templates
Schema-free ingestion: Accepts raw data from any source (CSV, JSON, XML, APIs, streaming) without heavy ETL
Enterprise-scale performance: Handles 100M–1.2B+ records daily for global brands
Cross-stack activation: 100s of integrations beyond Salesforce, including Braze, The Trade Desk, Snowflake, Azure
Proven ROI: Forrester TEI shows 505% ROI and 4x higher NPV vs. peers
Compare Amperity vs. Salesforce Data Cloud
Capability | Amperity | Salesforce Data Cloud |
Identity Resolution | AI/ML-powered; stable IDs, transparent confidence scores | Rules-based; Krux-lineage DMP; unstable, manual |
Customer 360 | Complete, flexible, multi-team | Limited; siloed to Salesforce stack |
Data Ingestion | Schema-free; supports raw ingest from any source | CSV-only ingest, rigid schema mapping; MuleSoft ETL |
Activation | Works across 100s of destinations, including SFMC | Strongest with Salesforce-native tools |
Ease of Use | Cross-team: IT, analytics, marketing | Marketer-centric, limited IT/analytics support |
Scale | Petabyte-scale; 15B+ daily syncs | Capped at 50M records |
Implementation | 90-day pilot model, Amperity- or partner-led | Heavy SI dependency, costly, lengthy onboarding |
Cost of Ownership | Transparent, ROI-proven (505% TEI) | High, with lock-in and hidden SI costs |
When to Choose Amperity vs. Salesforce Data Cloud
Choose Salesforce Data Cloud if:
You are fully committed to Salesforce stack and only need to unify Salesforce-native data
You are primarily focused on basic campaign personalization within Marketing Cloud
Choose Amperity if you need to:
Unify fragmented customer data across all sources (online, offline, Salesforce, and beyond)
Resolve identities accurately and transparently at enterprise scale
Deliver a trusted Customer 360 for IT, analytics, marketing, CX, and finance
Avoid vendor lock-in with a best-of-breed stack strategy
Achieve faster ROI and lower TCO vs. Salesforce implementations

