What is buying intent data?

Buying intent data tells you which companies are actively researching or investing in a solution. Sales and marketing teams use it to focus on prospects who are ready to buy and avoid wasting time on companies that aren't in-market.

How is TheirStack's buying intent data different from Bombora or G2?

Traditional providers infer intent from anonymized web browsing. TheirStack infers it from job postings — a public, direct statement of what a company is investing in. You also get full evidence (the actual job posting that triggered each signal) and confidence scoring, so you can see exactly how strong the signal is.

What are the 14 keyword categories?

Technology Concept, Operational Activity, Product or Service Offered, Physical Equipment, Metric or Concept, Strategic Initiative, Software Product, Regulation, Industry Vertical, Threat or Risk, Medical Research, Event, Commodity, and Government Body. Over 9,000 topics total.

How is the confidence score calculated?

Confidence is based on job posting volume over the last 90 days. High: 4+ jobs mentioning the topic (sustained cross-team investment). Medium: 2+ jobs (signal present but not dominant). Low: 1 job (early or isolated signal).

How often is buying intent data updated?

Daily. We process new job postings every day and re-aggregate signals at the company level.

How is this different from technographic data?

Technographic data tells you what tools a company already uses (Kubernetes, React, Salesforce). Buying intent data tells you what a company is actively investing in — compliance programs, equipment buys, strategic initiatives. Both come from job postings; they answer different sales questions.

Buying Intents Dataset

Every in-market company, in one daily file

The complete buying intent dataset, refreshed daily
9,000+ topics across 14 categories, scored by confidence
Delivered straight to your S3 bucket — ready for CRM enrichment, lead scoring, or warehouse-scale analytics

Try for free

Siemens

FightingPhishing

now

LVMH

ImplementingAI/ML

Shell

Complying withSOC 2

10m

ByteDance

Implementing inCloud Migration

18m

BYD

DoingData Governance

25m

Buying intent signals: 389M
Topics tracked: 9.4k
companies: 13M

Trusted by industry leadersTrusted by the world's most innovative sales and marketing teams

Dataset

This dataset contains the following files

company_id	keyword_id	keyword_slug	company_name	subcategory_slug	is_recruiting_agency	confidence	jobs	jobs_last_180_days	jobs_last_30_days	jobs_source_description	jobs_source_description_last_180_days	jobs_source_description_last_30_days	jobs_source_title	jobs_source_title_last_180_days	first_date_found	last_date_found	first_date_found_source_job_description	last_date_found_source_job_description	first_date_found_source_job_title	last_date_found_source_job_title
8274de5a65b06f2d71917af57f1dc28c	146448	1031-exchange	McGrath	controls-standards	false	low	1	0	0	1	0	0	0	0	Fri Oct 13 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Oct 13 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Oct 13 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Oct 13 2023 00:00:00 GMT+0000 (Coordinated Universal Time)
3a6105f684f25f8f6373f7620b26d8c7	146448	1031-exchange	FirstBank Holding Company	controls-standards	false	low	1	0	0	1	0	0	0	0	Fri Jun 06 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Jun 06 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Jun 06 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Jun 06 2025 00:00:00 GMT+0000 (Coordinated Universal Time)
244369be53d3092d942d5129a6f2e11c	146448	1031-exchange	Fidelity National Financial	controls-standards	false	low	1	0	0	1	0	0	0	0	Mon Jun 16 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Mon Jun 16 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Mon Jun 16 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Mon Jun 16 2025 00:00:00 GMT+0000 (Coordinated Universal Time)
b1de8c57697d5f19e22055f80ac1ec97	146448	1031-exchange	Investec	controls-standards	false	low	1	0	0	1	0	0	0	0	Fri Nov 15 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Nov 15 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Nov 15 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Nov 15 2024 00:00:00 GMT+0000 (Coordinated Universal Time)
04ffc3e9a3a530eb491d56ea3296b945	146448	1031-exchange	Afterpay	controls-standards	false	low	1	0	0	1	0	0	0	0	Sat Jan 18 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Sat Jan 18 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Sat Jan 18 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Sat Jan 18 2025 00:00:00 GMT+0000 (Coordinated Universal Time)
72a78aab6e083e1dd71906f3267389f8	146449	1035-exchange	MetLife	controls-standards	false	low	1	0	0	1	0	0	0	0	Thu Sep 25 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Sep 25 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Sep 25 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Sep 25 2025 00:00:00 GMT+0000 (Coordinated Universal Time)
90080bf00dbfaeb6467e1e52b8df7146	146449	1035-exchange	Lincoln Financial	controls-standards	false	low	1	0	0	1	0	0	1	0	Tue Jun 28 2022 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Jun 28 2022 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Jun 28 2022 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Jun 28 2022 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Jun 28 2022 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Jun 28 2022 00:00:00 GMT+0000 (Coordinated Universal Time)
53c77d6277339eceae0f520f1d74471b	146449	1035-exchange	Nationwide Mutual Insurance Company	controls-standards	false	low	2	2	1	2	2	1	0	0	Fri Jun 05 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Sep 02 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Jun 05 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Sep 02 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
a69832ebe8d9a3f9103b8cd9d27c57fb	146449	1035-exchange	Northwestern Mutual	controls-standards	false	low	2	1	0	2	1	0	2	1	Wed May 01 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Jul 22 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed May 01 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Jul 22 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed May 01 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Jul 22 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
87a3bde4c8cb596fb20e3ac9d95a3c5b	146449	1035-exchange	Simmons Bank	controls-standards	false	low	3	1	0	3	1	0	0	0	Mon Mar 24 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Sun May 03 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Mon Mar 24 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Sun May 03 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
c2a11ca5afdbdf1607abc64eee11a9b7	152139	2-5d-animation	Jam City	technology-other	false	low	1	0	0	1	0	0	0	0	Tue Aug 13 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Aug 13 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Aug 13 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Aug 13 2024 00:00:00 GMT+0000 (Coordinated Universal Time)
d89b66edd1ce52c39f95ff481a7c6357	152139	2-5d-animation	Age of Learning	technology-other	false	low	1	0	0	1	0	0	0	0	Tue Apr 11 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Apr 11 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Apr 11 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Apr 11 2023 00:00:00 GMT+0000 (Coordinated Universal Time)
50e5bec1d43a989af1074e2f75c9362b	152139	2-5d-animation	Zynga	technology-other	false	low	6	0	0	6	0	0	0	0	Mon Aug 21 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Sun Oct 19 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Mon Aug 21 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Sun Oct 19 2025 00:00:00 GMT+0000 (Coordinated Universal Time)
c609265a219296c2f2ccf464a63bef09	152139	2-5d-animation	Playtika	technology-other	false	low	6	0	0	6	0	0	0	0	Tue Oct 22 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Feb 19 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Oct 22 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Feb 19 2025 00:00:00 GMT+0000 (Coordinated Universal Time)
712dd0c7e8d4872c93f18006ff0c976d	145860	2-5d-packaging	Cadence Design Systems	tools-electronics	false	low	1	0	0	1	0	0	0	0	Tue Nov 04 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Nov 04 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Nov 04 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Nov 04 2025 00:00:00 GMT+0000 (Coordinated Universal Time)
ff819c80c1f4ae6e4b23ad886c3a5aad	145860	2-5d-packaging	ams OSRAM	tools-electronics	false	low	1	1	0	1	1	0	0	0	Wed Aug 19 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Aug 19 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Aug 19 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Aug 19 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
c21ca68891fccb3fed7a58868b5c4b73	145860	2-5d-packaging	Tenstorrent	tools-electronics	false	low	2	2	0	2	2	0	0	0	Fri Jun 12 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Sun Jul 26 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Jun 12 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Sun Jul 26 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
a2fe9051fe051f819bd739ef3e340377	145860	2-5d-packaging	NVIDIA	tools-electronics	false	low	2	1	0	2	1	0	0	0	Tue Mar 03 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Apr 07 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Mar 03 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Apr 07 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
74993f42c49b81f3a77103bcbb247c2b	145860	2-5d-packaging	Siemens	tools-electronics	false	low	4	2	0	7	2	0	0	0	Tue Nov 11 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Sun May 24 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Nov 11 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Sun May 24 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
5ed0b5f41b21804e51e82664dc24e2dd	144542	2-in-1-pcs	ASUS	personal-computer	false	low	3	0	0	3	0	0	0	0	Mon Jun 16 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Mon Mar 16 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Mon Jun 16 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Mon Mar 16 2026 00:00:00 GMT+0000 (Coordinated Universal Time)

Dataset Delivery

Ready-to-use files, delivered automatically

Fresh buying intent data in structured formats, delivered to your cloud storage on a daily schedule. No ETL pipelines to maintain.

Flexible Update Frequency

Choose how often your data refreshes — from hourly live feeds to quarterly snapshots, matching your pipeline's cadence.

Learn more

Parquet & CSV Formats

Export your data in the format that fits your stack — columnar Parquet for analytics warehouses or CSV for universal compatibility.

Learn more

S3 Bucket Delivery

Get data delivered directly to your Amazon S3 bucket — no manual downloads, no polling. Set it and forget it.

Learn more

60+ Data Fields with Coverage

Each job record includes 60+ fields spanning job details, location, salary, company firmographics, and technologies — with transparent fill-rate metrics.

See full dictionary

How it works

Access your datasets in three steps

Get temporary credentials, explore available files, and download the data you need — using Python, AWS CLI, or ClickHouse.

Get credentials

Request temporary S3 credentials from our API. One POST request returns access keys, session token, bucket name, and allowed prefixes — valid for immediate use.

List available files

Browse the datasets bucket to discover available files. Use Python (boto3), the AWS CLI, or ClickHouse's s3 table function to list objects by prefix and date.

Download your data

Download individual files or sync the entire bucket to your local environment. Parquet and CSV formats are ready for direct analysis or ingestion into your data pipeline.

Data Quality

Built for accuracy and depth

Every buying intent signal is traceable, scored for confidence, and enriched with company metadata across 14 keyword categories.

9,000+ Topic Catalog

From compliance and regulations to strategic initiatives, equipment purchases, and operational activities — we track 9,000+ buying intent topics across 14 keyword categories.

Explore topics

Regulation1,800+ topics

Equipment1,200+ topics

Strategic Initiative900+ topics

Benefits600+ topics

Metrics500+ topics

Compliance1,400+ topics

Regulation1,800+ topics

Equipment1,200+ topics

Strategic Initiative900+ topics

Benefits600+ topics

Metrics500+ topics

Compliance1,400+ topics

Regulation1,800+ topics

Equipment1,200+ topics

Strategic Initiative900+ topics

Benefits600+ topics

Metrics500+ topics

Compliance1,400+ topics

Regulation1,800+ topics

Equipment1,200+ topics

Strategic Initiative900+ topics

Benefits600+ topics

Metrics500+ topics

Compliance1,400+ topics

Sustainability400+ topics

Medical Research350+ topics

Operational Activity1,100+ topics

Industry Vertical700+ topics

Government Body300+ topics

Commodity250+ topics

Sustainability400+ topics

Medical Research350+ topics

Operational Activity1,100+ topics

Industry Vertical700+ topics

Government Body300+ topics

Commodity250+ topics

Sustainability400+ topics

Medical Research350+ topics

Operational Activity1,100+ topics

Industry Vertical700+ topics

Government Body300+ topics

Commodity250+ topics

Sustainability400+ topics

Medical Research350+ topics

Operational Activity1,100+ topics

Industry Vertical700+ topics

Government Body300+ topics

Commodity250+ topics

Buying Intent Signals

Detect buying intent changes as they happen. Our platform processes new signals every minute from millions of job postings worldwide.

Learn about signals

Walmart investing in EHS Compliance

JPMorgan investing in Risk Management

Target investing in Sustainability

Deloitte investing in M&A Integration

Pfizer investing in Clinical Trials

Caterpillar investing in Mining Equipment

Amazon investing in Background Checks

UnitedHealth investing in Health Insurance

Walmart investing in EHS Compliance

JPMorgan investing in Risk Management

Target investing in Sustainability

Deloitte investing in M&A Integration

Pfizer investing in Clinical Trials

Caterpillar investing in Mining Equipment

Amazon investing in Background Checks

UnitedHealth investing in Health Insurance

Walmart investing in EHS Compliance

JPMorgan investing in Risk Management

Target investing in Sustainability

Deloitte investing in M&A Integration

Pfizer investing in Clinical Trials

Caterpillar investing in Mining Equipment

Amazon investing in Background Checks

UnitedHealth investing in Health Insurance

Company Database

Access buying intent profiles for companies worldwide. Each profile includes all detected topics with confidence scores and historical data.

Explore companies

Walmart

34 intent topics

JPMorgan

28 intent topics

Deloitte

41 intent topics

Pfizer

22 intent topics

Amazon

53 intent topics

Target

31 intent topics

Walmart

34 intent topics

JPMorgan

28 intent topics

Deloitte

41 intent topics

Pfizer

22 intent topics

Amazon

53 intent topics

Target

31 intent topics

Walmart

34 intent topics

JPMorgan

28 intent topics

Deloitte

41 intent topics

Pfizer

22 intent topics

Amazon

53 intent topics

Target

31 intent topics

Walmart

34 intent topics

JPMorgan

28 intent topics

Deloitte

41 intent topics

Pfizer

22 intent topics

Amazon

53 intent topics

Target

31 intent topics

Caterpillar

19 intent topics

UnitedHealth

37 intent topics

Shell

26 intent topics

Siemens

33 intent topics

KPMG

24 intent topics

Nestlé

29 intent topics

Caterpillar

19 intent topics

UnitedHealth

37 intent topics

Shell

26 intent topics

Siemens

33 intent topics

KPMG

24 intent topics

Nestlé

29 intent topics

Caterpillar

19 intent topics

UnitedHealth

37 intent topics

Shell

26 intent topics

Siemens

33 intent topics

KPMG

24 intent topics

Nestlé

29 intent topics

Caterpillar

19 intent topics

UnitedHealth

37 intent topics

Shell

26 intent topics

Siemens

33 intent topics

KPMG

24 intent topics

Nestlé

29 intent topics

Traceable to Source

Every buying intent signal links back to the original job postings. Verify any detection with direct access to the evidence — company, date, and job description.

How we source data

Confidence Scoring

Our three-tier confidence model (low, medium, high) estimates how strong a buying intent signal is, based on mention volume across job postings in the last 90 days.

How scoring works

Frequently asked questions