What is an AWS users list?

An AWS users list is a marketing database of companies that use Amazon Web Services, along with verified contact and company details of the decision-makers and professionals involved in managing or influencing cloud infrastructure decisions. The list consists of contact data such as emails, direct phone numbers, mailing addresses, social media profiles, and more, for targeted outreach purposes.

How accurate is your AWS users email list compared to typical B2B data providers?

Span Global Services' AWS users email list maintains a 97%+ email deliverability rate, supported by a three-step validation process: automated email verification, manual research by data specialists, and AI-based enrichment. This reduces bounce rates significantly compared to standard B2B datasets, which typically range between 75% and 85%.

How many companies using AWS are included in your database, and how are they identified?

Our database tracks 835,000+ companies using AWS, identified through technographic signals such as cloud infrastructure patterns, job postings, engineering stack references, and third-party data validation. This ensures the list reflects actual AWS adoption, not inferred or outdated records.

What response rates can be expected when targeting AWS users for outreach?

Campaigns targeting AWS users typically achieve 20% to 40% higher engagement rates compared to generic IT lists. This is because AWS adoption indicates active infrastructure investment, making these accounts or prospects more responsive to relevant cloud, SaaS, and data-driven solutions.

Can your AWS users list be segmented based on specific AWS services?

Yes. Our AWS technographic data allows segmentation by specific AWS services and infrastructure patterns, including EC2, S3, Lambda, Redshift, and Kubernetes environments.

How frequently is your AWS customer database updated?

The database is refreshed every 30 days, during which outdated or inactive records are either revalidated or removed. This continuous update cycle ensures that your campaigns are always based on current and usable data, not static records.

Do you provide AWS users list segmentation by geography?

Yes. You can request highly targeted segments, such as an AWS users list USA, or filter by country, state, or city. The database covers 30+ global markets, allowing both regional and global campaign execution.

What makes your AWS technographic data different from standard firmographic databases?

Unlike standard databases that only provide company size and industry, our AWS technographic data captures real infrastructure signals, including cloud services used, tech stack combinations, and deployment patterns. This allows for behavior-based targeting, which is more effective than static segmentation.

Can I combine AWS data with other technologies for multi-layer targeting?

Yes. Span Global Services' build custom list feature allows you to obtain lists with segments such as AWS + Salesforce, AWS + Snowflake, or AWS + Kubernetes. This multi-layer targeting approach significantly improves campaign relevance and helps align messaging with the prospect's existing environment.

How does your AWS users mailing list support ABM strategies?

Our AWS users mailing list enables ABM by allowing you to filter decision-makers based on industry, company size, AWS usage, and technology stack. This helps you focus on high-fit accounts and run personalized, high-impact campaigns for lead acquisition and conversion.

What industries show the highest concentration of AWS customers in your database?

The highest concentration of AWS customers is in technology (32%), followed by financial services (18%), e-commerce (14%), and healthcare (11%). These industries typically have higher cloud adoption rates and stronger demand for scalable infrastructure solutions.

Salesforce Data Cloud Customer Database

GDPR & CAN-SPAM Compliant

97%+ Email Deliverability

Updated Every 30 Days

Free Sample Access

Stop Targeting All Salesforce Users: Focus on Data Cloud Buyers Who Actually Convert

If you have ever bought a generic Salesforce customer list and watched your reply rate tank, you already know the problem. A Salesforce Marketing Cloud user and a Salesforce Data Cloud user are not the same buyer. They sit in different teams, own different budgets, and care about different outcomes. When you pitch a CDP-specific offer to someone who only uses Salesforce Cloud, you waste their time and yours.

That mismatch is why we built a separate database for Data Cloud specifically. Salesforce renamed the product to Data 360 at Dreamforce 2025, but the underlying platform and buyer profile stayed the same. Our technology users list tracks the organizations actually running Data Cloud in production, the people who configure it, and the decision-makers who approve the budget to scale it. Most of the names on this list are not obvious from Salesforce’s customer directory, because Data Cloud deployment often happens quietly inside larger Salesforce footprints.

The Salesforce Data Cloud database we maintain is built for a specific kind of seller: vendors whose product genuinely extends, integrates with, or competes against Data Cloud. If that is you, this is the contacts database you want.

Account-Level Intelligence

Salesforce Org Type | Multi-Cloud Adoption (Marketing, Service, Commerce) | Annual Salesforce Spend Tier | CRM Maturity Stage | Active Salesforce Initiatives

Salesforce Data Cloud Intelligence

Modules in Use (Data Cloud for Marketing, Einstein 1, Data Graphs, Zero Copy, Identity Resolution, and more)

Organization Profile

Contact Intelligence

97% email deliverability guarantee.

Validation Accuracy, Deliverability Backed By Multi-Layer Validation

Triple verification process:

Syntax Validation
Human Verification
AI Enrichment

Refresh Cycles

Every 30 days with active revalidation.

Support

Dedicated account manager

Compliance Layer

GDPR, CCPA, CAN-SPAM, CASL

Delivery

CSV, TXT, XLS, JSON

Category	Adoption Trend	Key Tools	Strategic Insight
Native Salesforce Integration	Foundational	Marketing Cloud, Sales Cloud, Service Cloud	Data Cloud typically deploys alongside 2+ existing Salesforce clouds
Zero Copy Federation	High growth	Snowflake, Databricks, BigQuery, Redshift	Salesforce reports 50 trillion records now connected via Zero Copy, doubling year over year
Einstein AI and Agentforce	Rapidly scaling	Einstein 1 Platform, Agentforce, Einstein Copilot	Data Cloud serves as the context layer for Salesforce’s AI agent platform
Identity Resolution	Standard enterprise feature	Data Cloud Identity Rules	Multi-brand and multi-channel companies treat this as table stakes
Activation Channels	Expanding	Meta, Google, TikTok, Marketing Cloud, Agentforce	Activation beyond Salesforce clouds is the fastest-growing use case
B2B Data Cloud	Emerging category	Data Cloud for B2B, Account Engagement	Account-based unified data is the newest product area