Mavin vs Bombora
Bombora says "Acme Corp is interested in your category." Mavin says "Sarah Johnson, VP Sales at Acme Corp, researched your CEO and Head of Product on Tuesday." Same account. Very different signal.
Mavin
Shows you which specific people at target accounts are researching your team on LinkedIn — aggregated across your CEO, sales team, product leaders, and entire organization.
Bombora
Identifies which accounts are showing interest in your product category based on web content consumption across a cooperative of B2B publishers.
Feature Comparison
Side-by-Side
| Feature | Mavin | Bombora |
|---|---|---|
| Signal Channel | LinkedIn research activity | B2B web content consumption (publisher co-op) |
| Signal Level | Contact-level — name, title, LinkedIn profile | Account-level only |
| Contact Details | Always included — the person who researched your team | None — you research who to call |
| Team Aggregation | Yes — captures research across your entire team | No |
| Buying Committee Visibility | Yes — see when multiple people from the same account research your team | No — no contact-level data |
| Signal Timing | Early-funnel — LinkedIn research before website visits | Mid-funnel — web content consumption |
| Dynamic List Building | Yes — surfaces accounts you didn't know were interested | No — works from your existing list |
| Pricing | Starts at $90/mo | Enterprise pricing (typically $25K+/year) |
Strengths
Where Each Platform Wins
Where Bombora Wins
- Category-level intent — Bombora detects interest across your entire product category, not just research into your specific team. Good for seeing market-wide demand.
- Massive data cooperative — intent signals from thousands of B2B publishers give the widest view of content consumption behavior.
- ABM platform integrations — deep native integrations with 6sense, Demandbase, HubSpot, and most major ABM tools.
- Topic granularity — track intent for specific subjects and keywords beyond just your company.
Where Mavin Wins
- You know exactly who to call — Bombora says "Acme Corp is interested." Your SDR spends an hour researching contacts. Mavin says "Sarah Johnson, VP Sales at Acme" and your rep is reaching out in minutes.
- Team aggregation — Mavin captures research across your CEO, VP of Sales, Head of Product, and entire org. When three people from the same account research different team members in the same week, that's a buying committee forming. Bombora can't show you this.
- Earlier timing — LinkedIn research happens before web content consumption. Prospects check out your team before they start reading comparison articles and analyst reports.
- Fraction of the cost — Mavin starts at $90/month. Bombora typically requires a five-figure annual contract.
Use Both Together
Bombora and Mavin are complementary — different signals from different stages. Bombora shows which accounts are researching your product category across the web. Mavin shows which specific people at those accounts are researching your team on LinkedIn. Use Bombora to identify in-market accounts at the category level. Use Mavin to know exactly who to call and see buying committees forming.
Decision Guide
Which Should You Choose?
Choose Mavin if…
Your team needs to know exactly who to reach out to — not just which accounts look interested. You're tired of getting account-level alerts and then spending hours researching contacts. You want to turn your leadership team's LinkedIn presence into pipeline.
Choose Bombora if…
You're running a large-scale ABM program and need broad, category-level intent data across thousands of accounts. You're already embedded in the Bombora ecosystem through 6sense or Demandbase and need that data to feed your existing workflows.
See your buying signals
Setup takes 5 minutes. See which target accounts are researching your team today.