AI powered sales intelligence for a San Francisco–based $35B CRM enterprise

Discover How Draup Enabled Real-Time Account Insights & Competitive Intelligence

72,600+

Employee Count

$35.7 Bn

Revenue

CRM Technology

Industry

San Francisco, USA

Headquarters

About the Company

The company is a global leader in AI-powered CRM, helping organizations accelerate growth and enhance customer engagement. It drives digital transformation across sales, marketing, service, commerce, and IT through data-driven insights and intelligent automation.

The Core Challenges

To accelerate sales in enterprise and mid-market segments through AI-powered, data-driven insights.

To strengthen competitive positioning with detailed visibility into competitor tech stacks.

To streamline GTM workflows and integrate real-time intelligence directly into internal CRM systems.

The Solution

Enterprise Software

DEALS

ACCOUNTS

TECH STACK

SERVICE PROVIDERS

KEY EXECUTIVES

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Comprehensive Account Insights

Delivered enriched intelligence on 100K+ accounts through Draup’s AI-powered data engine.

Competitor Tech Stack Analysis

Provided AI-driven insights on competitor adoption and market penetration across target accounts.

Decision-Maker Identification

Identified and prioritized key stakeholders based on influence and decision-making power.

AI-Driven Account Segmentation

Segmented accounts across 33+ industries and 175+ sub-sectors for personalized GTM execution.

Outcome

Accelerated Sales Velocity

By utilizing Draup's AI-powered Sales Intelligence, the enterprise enhanced its go-to-market strategy by concentrating sales efforts on high-potential accounts through real-time data.

Improved Win Rates

Strong deal positioning was achieved through detailed competitor insights, resulting in accelerated sales velocity, improved win rates, and growth in high-opportunity sectors.

Enhanced Executive Engagement

Sales teams utilized unified, real-time intelligence to enhance conversions through targeted messaging aimed at key decision-makers.

Optimized GTM Workflows

Streamlined data flows between Draup and internal CRM. Enhanced efficiency and competitiveness in the AI-powered CRM market by minimizing data management overhead.

Powered by unparalleled global market data

8M+

Executives

600K+

Outsourced Workflows

900K+

Accounts Priorities

1.6M+

Peer Group Companies

Industries

250K+

Service Providers

Data Trust & Methodology at Draup

Draup uses a structured methodology to reduce inaccuracies and prevent misleading information, with a focus on transparency and responsible data practices.

1

Data Transparency and Coverage

Draup sources data from diverse, vetted global inputs including public datasets, labor information, professional ecosystems, and industry research. Coverage varies by region and role, and we supplement limited areas with alternative sources and analyst-led modeling.

2

Profiles Behind the Numbers

All aggregate insights related to buyers, roles, skills, and locations are grounded in structured, anonymized human and organizational profiles rather than pure extrapolation. This ensures context, reliability, and protection of personal identities.

3

Data Hygiene and Integrity

We maintain a clean, accurate data environment by removing duplicates, outdated entities, and invalid records. Automated checks powered by ML models and analyst reviews work together to ensure clarity and accuracy for every entity, such as buyer, role, skill, technology, or company. Learn more

4

AI Governance and Bias Mitigation

Our governance framework combines automated evaluations with Human-in-the-Loop reviews. We use statistical checks, audits, and cross-source comparisons to reduce demographic and structural bias before insights reach the platform.

5

Compensation Guardrails

Compensation insights use blended, directional inputs such as aggregated ranges, benchmarks, modeled distributions, and market signals. We distinguish clearly between modeled and reported data and apply guardrails to prevent over-interpretation.

6

Hourly and Frontline Workforce Coverage

For hourly, frontline, and blue-collar roles where digital visibility is limited, we incorporate government datasets, localized labor information, and specialized partners to build a more complete and balanced view of workforce supply and demand.