Turn HG Insights data into revenue action
SpringDB helps HG Insights customers activate technographic, spend, and intent data inside the systems their revenue teams already use.
Technology intelligence that sharpens every go to market decision
HG Insights provides technographic, spend, and firmographic data that shows which technologies companies use, how much they invest, and when renewal windows open.
Technographic depth
Verified technology install data across a large universe of companies and products.
Spend and renewal signals
Technology spend context that helps teams time outreach and prioritize accounts.
Built for scale
Recurring delivery designed to support account intelligence at enterprise volume.
Great data, sitting disconnected from where decisions happen
HG Insights data often arrives as large recurring files. Until it is structured and matched to first party records, revenue teams cannot easily use it.
HG data delivered as large files, disconnected from CRM and marketing systems
Install and spend data arrive separately, not joined into one view
RevOps and marketing cannot easily open, analyze, or activate the data
Account targeting and segmentation stay manual
Monthly delivery requires ad hoc coordination with internal technical teams
HG data ingested into Snowflake through repeatable pipelines
Install and spend signals joined into a unified account layer
Data matched against your first party customer and prospect records
Account scoring, ABM segmentation, and territory planning built on real signals
CRM and marketing systems enriched automatically, month after month
See how this fits your GTM stack
A short call to map your current HG Insights setup against what SpringDB can activate.
From raw HG Insights files to revenue action
Ingest
SpringDB builds repeatable pipelines that move HG Insights files into Snowflake, so data no longer sits static in storage.
Unify
SpringDB joins HG install and spend data together, then matches it against your own customer and prospect records.
Activate
SpringDB enriches your CRM and marketing systems, so sellers and marketers use HG intelligence directly in the tools they already work in.
Services built around your HG Insights investment
Snowflake ingestion
Repeatable pipelines moving monthly HG Insights files into a scalable analytics environment.
Schema mapping and normalization
HG fields mapped to your internal data model for consistent, trusted analysis.
Install and spend data joining
Separate install and spend files joined into a single account intelligence layer.
First party account matching
HG Insights records matched against your existing customer and prospect data.
TAM, SAM, and SOM modeling
Market sizing analytics built on HG Insights data layered with first party context.
ABM target account selection
Prioritized account lists based on technology fit, spend, and existing account context.
Territory and account prioritization
Sales territories built using a complete view of account potential.
CRM and marketing activation
HG Insights signals enriched into the systems sellers and marketers already use.
Recurring refresh management
Ongoing data updates managed by SpringDB, so new files never restart the process.
HG Insights becomes part of how your team decides, not a file to work around
HG Insights data queryable inside Snowflake
Install and spend signals unified into one layer
First party account matching in place
TAM, SAM, and SOM modeling available to revenue teams
ABM audience quality improved
Territory planning strengthened
CRM and marketing systems enriched with actionable intelligence
Manual monthly data handling eliminated
Building a data product? Put HG Insights inside it
The use cases above are for teams activating HG Insights data for their own revenue. Product teams have a different need. They embed HG technology intelligence directly into the platforms and products they sell, and SpringDB powers that with InstaDB.
Healthcare Data & Analytics
Embed HG technology intelligence into healthcare data platforms for richer market and account views.
Explore use case →OEM / Data Licensing
License and embed HG data as a native feature inside OEM and commercial data platforms.
Explore use case →Risk & Compliance
Power risk and compliance platforms with technographic signals for company and vendor assessment.
Explore use case →Programmatic / Data Monetization
Serve technographic audience segments inside programmatic platforms and monetize data at scale.
Explore use case →AI / LLM Data Buyers
Feed HG data into AI and LLM platforms as a product-ready grounding and enrichment ingredient.
Explore use case →See HG Insights on the DataExchange
View the full HG Insights vendor profile, datasets, and delivery options inside the SpringDB DataExchange.
View vendor profile →The engine behind every HG-powered product
InstaDB is the API-driven data backend that hosts, matches, normalizes, and serves HG Insights data at scale. Product teams get billions of records queryable in milliseconds, without building and maintaining the infrastructure themselves.
Hear directly from HG Insights
John Kosturos sits down with Rohini Kasturi, CEO of HG Insights, to talk technographic intelligence, product strategy, and go to market.
Rohini Kasturi, CEO of HG Insights & John Kosturos, CEO of SpringDB
A conversation on how technographic data is reshaping product strategy, go to market planning, and competitive intelligence for revenue teams.
