Bombora and TheirStack both help revenue teams prioritize accounts, but they use fundamentally different data sources to infer intent. Bombora tracks content consumption across a network of ~5,000 B2B publisher websites to detect topic-level interest surges across its topic taxonomy. TheirStack analyzes job postings from NaN+ sources to extract hiring signals, technology mentions, and buying intent topics from the text companies publish when they hire.
They are not interchangeable — each source has strengths and blind spots, and many teams use both.
Quick Decision Guide
Choose TheirStack if
- ✓You want signals traceable to specific, public job postings your reps can cite
- ✓You need technographic data derived from hiring text, including backend tools website scanners miss
- ✓You want self-serve access with a free tier and transparent pricing
- ✓You need real-time job data with deduplication across NaN+ sources
Choose Bombora if
- ✓You want to detect research activity that happens before a company starts hiring
- ✓You need intent data embedded in your existing ABM or advertising platform
- ✓You want account-level topic scoring across a broad taxonomy of intent topics
Feature comparison
Data source
| Feature | TheirStack | Bombora |
|---|---|---|
| Primary source | Job postings from NaN+ sources (job boards, career pages, ATS platforms) | Content consumption across ~5,000 B2B publisher websites (Data Co‑op) |
| Signal type | What companies say they need in job descriptions | What topics employees at a company are researching online |
| Data transparency | ✓Open methodology with links to each original job posting | Data Co-op — aggregated scores without visibility into which sites or articles triggered the signal |
Coverage & topics
| Feature | TheirStack | Bombora |
|---|---|---|
| Topic taxonomy | Tens of thousands of buying intent topics | Thousands of intent topics across their taxonomy |
| Technology detection | ✓Yes — frontend and backend from job descriptions | Not the core product |
| Job posting search | ✓Yes — real-time, 40+ filters | No |
| Early-stage research detection | Only when it appears in a job posting | ✓Yes — tracks content consumption before companies take public action |
Access & pricing
| Feature | TheirStack | Bombora |
|---|---|---|
| Access model | ✓Self-serve API + UI, free tier, plans from $59/mo | Enterprise sales or bundled through partner platforms |
| ABM platform integrations | API + webhooks for custom integrations | ✓Native integrations in many major ABM and ad platforms |
How each platform sources its data
Understanding where the data comes from matters — it determines what each platform can and cannot tell you.
Bombora: content consumption across a publisher network
Bombora operates a Data Co‑op of approximately 5,000 B2B websites and publishers. When employees at a company consume content on these sites — reading articles, downloading whitepapers, visiting product pages — Bombora tracks that activity and maps it to the company using cookies and IP-based identification. When a company's consumption on a specific topic spikes above its historical baseline, Bombora flags it as a Company Surge® signal.
This approach has real strengths: it can detect early-stage research activity before a company takes any public action like posting a job, and it covers thousands of topics across a wide range of industries. The scale of the co-op means Bombora sees research behavior that no single vendor's website analytics could capture.
The trade-off is transparency. The buyer sees an account-level score and a topic — not which specific articles were read, by whom, or on which sites. Several practitioners in B2B communities describe this as a "black box" experience where it can be hard to judge why a particular account was flagged, which makes it difficult for reps to use the signal directly in outreach messaging. Additionally, the reliance on cookies for identification faces growing accuracy challenges as browsers restrict third-party tracking.
TheirStack: language analysis of public job postings
TheirStack aggregates job postings from NaN+ sources — job boards, company career pages, and ATS platforms — and analyzes the text to extract technologies, buying intent topics, and hiring patterns. When a company posts a role that mentions specific tools, problems, or initiatives, that becomes a signal.
The strength here is provenance: every signal links back to a public job posting your reps can open and read. You can read how we source buying intent data for full details on our methodology. If a company is hiring three data engineers mentioning Snowflake and dbt, that is a concrete, verifiable statement of where they are investing. Reps can reference the same language the employer published.
The trade-off is that not all intent shows up in hiring. A company might be evaluating compliance software without hiring a compliance officer — they could be assigning the project to existing staff. And the reverse: a company hiring a compliance attorney might already have the software and just need legal headcount. Job postings capture budget-backed investment decisions, but they are not a complete picture of research interest.
When each signal leads you astray
Both data sources produce false positives — being honest about this helps you use each one appropriately.
Bombora false positives: A topic surge can fire because employees read articles out of curiosity, for competitive research, or for personal education rather than an active buying process. A compliance topic surge might mean a VP is reading about regulatory changes, not evaluating compliance software. The aggregated nature of the score makes it hard to distinguish research from purchase intent.
TheirStack false positives: A job posting mentioning a technology does not always mean the company is buying related products. Hiring a Kubernetes engineer might mean they are expanding an existing setup, not evaluating a new one. Hiring a compliance officer might mean they already chose their compliance tool and are staffing the team to use it.
The best teams treat both signals as prioritization inputs, not purchase confirmations, and combine them with first-party engagement data (website visits, demo requests) for qualification.
When to choose each
Choose Bombora when you want to detect early-stage research interest across a broad topic taxonomy, especially if you already use an ABM or advertising platform that embeds Bombora data.
Choose TheirStack when you want traceable, hiring-grounded signals your reps can reference directly in outreach. It is strongest when your sales motion depends on knowing which specific roles, tools, or initiatives a company is investing in — and when you also need technographic data or job search capabilities alongside intent.
Use both when your workflow benefits from broad topic prioritization (Bombora) layered with specific, citable signals for outreach timing and messaging (TheirStack). The data sources are complementary, not redundant.