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List of Census Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Loom Professional Services 240 $25M United States Fivetran Census Extract, Transform, and Load (ETL) 2020 n/a In 2020, Loom deployed Census, an Extract, Transform, and Load (ETL) application, to activate modeled customer data from its Snowflake warehouse into operational SaaS tools. Fivetran handled ingestion into Snowflake, creating a warehouse-centric pipeline that Census used to push curated datasets into downstream systems. Census was configured to sync transformed, modeled data from Snowflake into Zendesk, Salesforce, and Intercom, with mappings and scheduled syncs that aligned warehouse customer and account models to destination objects. The implementation focused on attribute-level mapping and sync orchestration to enable prioritized routing of support tickets and to power targeted product and release workflows. Operational coverage concentrated on support and go-to-market functions in North America, with a small Loom data team owning model definitions, schema governance, and sync operations. Integrations explicitly included Snowflake as the source, Fivetran as the ingestion layer, and Zendesk, Salesforce, and Intercom as activation targets, creating a warehouse-to-app activation pattern for customer 360 data. Governance centered on centralizing customer 360 in the warehouse and operationalizing it through Census, which reduced manual pipeline work and sped support response times. The deployment shifted routing and product workflow decisions into automated data syncs managed by the data team, enabling more consistent support prioritization and GTM coordination.
ZIP Co Banking and Financial Services 1040 $443M Australia Fivetran Census Extract, Transform, and Load (ETL) 2023 n/a In 2023, ZIP Co implemented Census to activate modeled customer segments from its Snowflake data warehouse into marketing and engagement systems. Census was used as an activation layer within an Extract, Transform, and Load (ETL) architecture to read dbt-transformed customer models and synchronize audiences to downstream tooling. The deployment emphasized Census capabilities for audience activation and segment sync, mapping canonical customer attributes from Snowflake into Braze for product and growth-led campaigns. Data ingestion and pipeline orchestration were handled by Fivetran, with dbt providing transformation logic, enabling Census to push curated segments into engagement workflows. Operational coverage centered on product, growth, and marketing teams across the Asia Pacific region, with governance oriented toward self service audience building and standardized segment definitions. The implementation improved campaign execution velocity and established consistent targeting and customer experience orchestration by unifying Snowflake models, Census activation, and downstream engagement tooling.
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FAQ - APPS RUN THE WORLD Census Coverage

Census is a Extract, Transform, and Load (ETL) solution from Fivetran.

Companies worldwide use Census, from small firms to large enterprises across 21+ industries.

Organizations such as ZIP Co and Loom are recorded users of Census for Extract, Transform, and Load (ETL).

Companies using Census are most concentrated in Banking and Financial Services and Professional Services, with adoption spanning over 21 industries.

Companies using Census are most concentrated in Australia and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Census across Americas, EMEA, and APAC.

Companies using Census range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 50%, large organizations with 1,001-10,000 employees - 50%, and global enterprises with 10,000+ employees - 0%.

Customers of Census include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Census customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Extract, Transform, and Load (ETL).