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: 398M
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_last_7_days	jobs_source_description	jobs_source_description_last_180_days	jobs_source_description_last_30_days	jobs_source_description_last_7_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
6f5b268a14a092bb88206f2f9a316365	151882	3g	Playground Global	networking	false	low	1	0	0	0	1	0	0	0	0	0	Wed Dec 14 2016 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Dec 14 2016 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Dec 14 2016 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Dec 14 2016 00:00:00 GMT+0000 (Coordinated Universal Time)
7fa73b102fd54537332bbeca0092dfee	151882	3g	Comfort Systems USA	networking	false	low	1	0	0	0	1	0	0	0	0	0	Fri Jan 09 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Jan 09 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Jan 09 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Jan 09 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
2850f189453a53847827d1182a9a9ef8	151882	3g	Descartes Systems Group	networking	false	low	1	1	0	0	1	1	0	0	0	0	Wed Jul 01 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Jul 01 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Jul 01 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Jul 01 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
ba9754c79a45d8bf5ce800d73950c611	151882	3g	NatWest Group	networking	false	low	1	0	0	0	1	0	0	0	0	0	Fri Sep 22 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Sep 22 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Sep 22 2023 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Sep 22 2023 00:00:00 GMT+0000 (Coordinated Universal Time)
52272a7b1b20bc7b624f1e2416e67605	151882	3g	Support.com	networking	false	low	1	0	0	0	1	0	0	0	0	0	Mon Jul 26 2021 00:00:00 GMT+0000 (Coordinated Universal Time)	Mon Jul 26 2021 00:00:00 GMT+0000 (Coordinated Universal Time)	Mon Jul 26 2021 00:00:00 GMT+0000 (Coordinated Universal Time)	Mon Jul 26 2021 00:00:00 GMT+0000 (Coordinated Universal Time)
a00f2e7a4fd8c881387ccba962518d94	153350	3rd-party-cookies	System1	web	false	low	1	0	0	0	1	0	0	0	0	0	Sun Oct 20 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Sun Oct 20 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Sun Oct 20 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Sun Oct 20 2024 00:00:00 GMT+0000 (Coordinated Universal Time)
dc433975455df8abbffa733a52b3dfea	153350	3rd-party-cookies	ActionIQ	web	false	low	1	0	0	0	1	0	0	0	0	0	Tue Nov 09 2021 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Nov 09 2021 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Nov 09 2021 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Nov 09 2021 00:00:00 GMT+0000 (Coordinated Universal Time)
5dfcd7c9d61789786f396334715e4bfa	153350	3rd-party-cookies	Joe's Jeans	web	false	low	1	1	1	1	1	1	1	1	0	0	Thu Aug 13 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Aug 13 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Aug 13 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Aug 13 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
58002497f9c7a86202eea76a846a1ab3	153350	3rd-party-cookies	Acxiom	web	false	low	1	0	0	0	1	0	0	0	0	0	Wed Dec 07 2022 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Dec 07 2022 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Dec 07 2022 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Dec 07 2022 00:00:00 GMT+0000 (Coordinated Universal Time)
9017afdb6e0254e5b2e8d2560a42bb69	153350	3rd-party-cookies	Twilio	web	false	low	1	1	0	0	1	1	0	0	0	0	Thu Mar 19 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Mar 19 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Mar 19 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Mar 19 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
8a5a306c64d706938f57df7d98838b8d	151883	400g	Cornami, Inc.	networking	false	low	1	1	0	0	1	1	0	0	0	0	Tue Mar 31 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Mar 31 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Mar 31 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Mar 31 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
183ee60653e10fb5f285b0a4709f7249	151883	400g	CoreWeave	networking	false	low	1	0	0	0	1	0	0	0	0	0	Wed Feb 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Feb 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Feb 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Feb 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
18c3ad75dc782e12cd5a8fa6d5e933a9	151883	400g	CoreWeave	networking	false	low	1	1	0	0	1	1	0	0	0	0	Sat Mar 21 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Sat Mar 21 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Sat Mar 21 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Sat Mar 21 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
8ccd983cc1edfedf58e083a20f1e9449	151883	400g	Mediacom Communications Corporation	networking	false	low	1	1	0	0	1	1	0	0	0	0	Tue Apr 14 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Apr 14 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Apr 14 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Apr 14 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
effeba53a7361a795e6ece97fa8d521c	151883	400g	Amphenol	networking	false	low	1	1	0	0	1	1	0	0	0	0	Wed Jul 01 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Jul 01 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Jul 01 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed Jul 01 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
e0805901be819c11c72ccb92815056d0	148048	401-k-advisor	Northwestern Mutual	employee-services	false	low	1	1	0	0	1	1	0	0	1	1	Thu Jun 25 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Jun 25 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Jun 25 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Jun 25 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Jun 25 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Thu Jun 25 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
a91469bcee077d4969f55fd33f4467db	148048	401-k-advisor	Astra Space Inc.	employee-services	false	low	1	1	0	0	1	1	0	0	0	0	Tue Jun 30 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Jun 30 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Jun 30 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Tue Jun 30 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
cc331b25eb9aad3ff263d9e160e0fe13	148048	401-k-advisor	Partners Capital	employee-services	false	low	1	0	0	0	1	0	0	0	0	0	Fri Mar 07 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Mar 07 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Mar 07 2025 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Mar 07 2025 00:00:00 GMT+0000 (Coordinated Universal Time)
dbf97dd8e4f13a18050dfb9ab21da34f	148048	401-k-advisor	Betterment	employee-services	false	low	2	0	0	0	2	0	0	0	0	0	Fri Oct 29 2021 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Jan 14 2022 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Oct 29 2021 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Jan 14 2022 00:00:00 GMT+0000 (Coordinated Universal Time)
8609a81d81a0bdff7ae73163b6ad3353	148048	401-k-advisor	LG Display America, Inc	employee-services	false	low	2	0	0	0	2	0	0	0	0	0	Wed May 01 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Feb 13 2026 00:00:00 GMT+0000 (Coordinated Universal Time)	Wed May 01 2024 00:00:00 GMT+0000 (Coordinated Universal Time)	Fri Feb 13 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