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: 370M
Topics tracked: 9.4k
companies: 12M

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_source_description	jobs_source_description_last_180_days	first_date_found	last_date_found	first_date_found_source_job_description	last_date_found_source_job_description
a2fe9051fe051f819bd739ef3e340377	145860	2-5d-packaging	NVIDIA	tools-electronics	false	low	2	2	2	2	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)
9f6290f4436e5a2351f12e03b6433c3c	145860	2-5d-packaging	Apple	tools-electronics	false	low	19	2	19	2	Fri Dec 16 2022 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Apr 30 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Dec 16 2022 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Apr 30 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
5ed0b5f41b21804e51e82664dc24e2dd	144542	2-in-1-pcs	ASUS	personal-computer	false	low	3	1	3	1	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)
a95b436b6afe17af8b20f4f15f3f15ab	152140	2d-animation	Khan Academy	technology-other	false	low	1	0	1	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)
cdd16461ab27f5bce52a8d94f8632292	152140	2d-animation	Harvard University	technology-other	false	low	1	0	1	0	Tue Jun 27 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Jun 27 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Jun 27 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Jun 27 2023 00:00:00 GMT+0000 (Coordinated Universal Time)
9414b97199d909061ce91aeb8faa421f	152140	2d-animation	Tencent	technology-other	false	low	1	0	1	0	Thu May 25 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu May 25 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu May 25 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu May 25 2023 00:00:00 GMT+0000 (Coordinated Universal Time)
d7a9a3e2a98999afaa77e64983165058	152140	2d-animation	TikTok	technology-other	false	low	1	0	1	0	Fri Feb 23 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Feb 23 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Feb 23 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Feb 23 2024 00:00:00 GMT+0000 (Coordinated Universal Time)
5daded1785f90c4e2ca275cdf740b08b	152140	2d-animation	The Washington Post	technology-other	false	low	1	0	1	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)
bddafadf80a9b6f5967430e952ed7c59	147065	3-d-secure	Intel	transactions-payments	false	low	1	1	1	1	Thu Apr 30 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Apr 30 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Apr 30 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Apr 30 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
abfc3a65538a6ec86502b2b498b6b4a6	147065	3-d-secure	Discover	transactions-payments	false	low	1	0	1	0	Fri May 30 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri May 30 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri May 30 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri May 30 2025 00:00:00 GMT+0000 (Coordinated Universal Time)
62182ca58a739daa8ddd8a48b7b19abb	147065	3-d-secure	Statista	transactions-payments	false	low	1	0	1	0	Fri Apr 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Apr 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Apr 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Apr 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time)
98837de47acec3d57078529d1fe9417b	147065	3-d-secure	Ticketmaster GmbH	transactions-payments	false	low	1	0	1	0	Tue Jul 25 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Jul 25 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Jul 25 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Jul 25 2023 00:00:00 GMT+0000 (Coordinated Universal Time)
70b40829bd8220e00eda0e56a5e48870	147065	3-d-secure	Best Buy	transactions-payments	false	low	1	0	1	0	Mon Sep 16 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Mon Sep 16 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Mon Sep 16 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Mon Sep 16 2024 00:00:00 GMT+0000 (Coordinated Universal Time)
dbc0599a2beb0b465695a5f4afe06cd5	153349	301-redirect	The New York Times	web	false	low	1	0	1	0	Thu Nov 20 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Nov 20 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Nov 20 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Nov 20 2025 00:00:00 GMT+0000 (Coordinated Universal Time)
110d0ce0f5db00524a5e4a908709ff99	153349	301-redirect	Envato	web	false	low	2	0	2	0	Thu Dec 10 2020 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Jul 30 2021 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Dec 10 2020 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Jul 30 2021 00:00:00 GMT+0000 (Coordinated Universal Time)
12812ea78dbc80e6065f794c752272e9	152141	3d-animation	Udemy	technology-other	false	low	1	0	1	0	Tue Oct 15 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Oct 15 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Oct 15 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Oct 15 2024 00:00:00 GMT+0000 (Coordinated Universal Time)
208421fcbc090a62f099f85472ded9ba	152141	3d-animation	Bloomberg	technology-other	false	low	1	1	1	1	Wed May 13 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed May 13 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed May 13 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed May 13 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
03130557704ceb4addfa9b1718b232f5	152141	3d-animation	Wattpad	technology-other	false	low	1	1	1	1	Fri Feb 20 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Feb 20 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Feb 20 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Feb 20 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
92a53bd7e3629533178c49353e04e92b	152141	3d-animation	Netflix Animation	technology-other	false	low	1	0	1	0	Sun Mar 13 2022 00:00:00 GMT+0000 (Coordinated Universal Time)	Sun Mar 13 2022 00:00:00 GMT+0000 (Coordinated Universal Time)	Sun Mar 13 2022 00:00:00 GMT+0000 (Coordinated Universal Time)	Sun Mar 13 2022 00:00:00 GMT+0000 (Coordinated Universal Time)
77b3f9c8609c1168ef0d05c73a86fd63	152141	3d-animation	Encyclopaedia Britannica, Inc.	technology-other	false	low	1	0	1	0	Thu Jan 16 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Jan 16 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Jan 16 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Jan 16 2025 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