Side-by-side pricing breakdown, hidden costs, and negotiation intel for both tools. Verified March 6, 2026.
| Cognism | D&B Hoovers | |
|---|---|---|
| Starting price | $3,600/user/yr | $49/mo |
| Pricing model | Quote Only | Credit-Based |
| Free trial | — No | ✓ Yes |
| Annual only | ⚠ Yes | ✓ No |
| Plans | 2 tiers | 2 tiers |
| Hidden costs | 4 flagged | 5 flagged |
| Last verified | March 6, 2026 | May 31, 2026 |
Both plans include up to 2,000 exports/views per user per month, but only 25 at a time. Bulk exports beyond 25 contacts require separate bulk export credits, purchased additionally.
D&B Hoovers is currently piloting a credit-based model with unlimited seats. Pricing below reflects this pilot program, confirm current structure directly with a rep as terms may change.
Cognism is negotiable at EOQ/EOY. Volume discounts are structured, push to commit to 6+ seats if you're close to a tier boundary to drop from $3,600 to $2,550/user on Platinum. Teams switching from ZoomInfo or Apollo have leverage. EMEA coverage is a genuine differentiator that limits price competition for internationally-focused teams.
We went through live negotiations with D&B directly. An AVP stepped in toward the end and effectively took over the negotiations from their side. The offers we received came in 25-35% below list price. Bundle pricing, Hoovers with Bombora intent data, and/or technology mapping was meaningfully discounted and worth asking about even if you only want the base product, as the gap narrows considerably at their offer prices. We were focused on an 80k-320k credit allotment in our negotiations. Multi-year terms are available and worth considering given the built-in 6% annual increase, though the year 1 discount erodes quickly at that rate. Competing quotes from ZoomInfo or Cognism are effective leverage. Negotiate add-ons separately from the base package. We have the full offer breakdown, including line-by-line list vs. offer prices for all four bundle options, in our Sales Intelligence Pricing Report.
The right choice depends on your team size, workflow, and priorities. A few context-specific scenarios:
Data quality, deliverability, and coverage vary by region and use case — these comparisons are based on pricing structure only. Evaluate both tools on a trial before committing.