Ask who's actually going to open the tool and sign off on pricing, a rep closing deals solo or a RevOps team managing approval chains across a 200-person sales org, and you've basically already picked between PandaDoc and DealHub. PandaDoc is a document tool with proposals, quotes and e-signature built in, priced openly and set up in an afternoon. DealHub is a rules-led CPQ platform with guided selling and approval routing wired into it, sold the way enterprise software usually gets sold: no public pricing, a sales call first.
That difference shows up in the price before it shows up in a single feature.
What Each One Actually Is
PandaDoc is document-centric. Build a proposal, attach pricing, collect a signature, take a payment, all in one flow, with discounting handled as a threshold a rep can't cross without approval rather than a full configuration engine.
DealHub is configuration-centric. A guided selling engine auto-generates the right product and pricing configuration based on deal attributes, then routes approvals based on the deal's own structure, discount depth, product mix, contract length, not a flat threshold. Contract lifecycle management and deal rooms sit on top of that same system.
Pricing: Transparent vs. Sales-Led
PandaDoc publishes its pricing. Starter runs $19 a user monthly on an annual plan, or $35 billed month to month. Business runs $49 a user annually, or $65 monthly, and is the tier that unlocks CRM integrations with Salesforce, HubSpot and Pipedrive. Enterprise, which is where PandaDoc's own CPQ features live, is custom-quoted.
DealHub doesn't publish pricing at all. Third-party estimates from CostBench and Vendr-sourced data put per-user rates somewhere between $50 and $100 a month depending on tier, usually with a five-to-fifteen-seat minimum before a deal even gets quoted. Vendr's purchase data puts the median actual annual contract at roughly $54,500. Implementation typically runs another $5,000 to $25,000 on top of that, over and above the subscription itself.
A small team can be live on PandaDoc the same day they sign up. A team evaluating DealHub is on a sales call first, an implementation project second, and live sometime after that, commonly cited at around three months.
Where the Feature Gap Actually Shows Up
On core CPQ capability, independent review data leans toward DealHub. G2's category scores put DealHub's guided selling at 9.3 against PandaDoc's 8.9, and discounting at 9.2 against 8.0, though PandaDoc's review sample on those specific categories is much smaller, 32 reviews against DealHub's 383, so treat the gap as directionally real rather than precise.
The qualitative difference matches the scores. DealHub's approval routing reads the structure of the deal itself and decides who needs to sign off. PandaDoc's routing is a discount threshold, cleaner to set up, far less flexible once your pricing has more than one or two variables in it.
What PandaDoc has that DealHub doesn't need to compete on is speed of setup. G2 reviewers consistently cite PandaDoc's ease of implementation as a strength. Some DealHub users report real setup friction instead, the cost of the deeper configuration DealHub is built around.
Comparison Table
| Category | PandaDoc | DealHub |
| Pricing model | Public, self-serve | Custom-quoted, sales-led |
| Entry price | $19/user/mo (Starter, annual) | ~$50-100/user/mo (est., varies by source) |
| Typical annual spend | Scales with seats, no minimum | ~$54,500/yr median (Vendr data) |
| Implementation | Self-serve, same-day | ~3 months, $5K-25K in services |
| Approval routing | Discount-threshold based | Deal-structure based (guided selling) |
| Best for | Small teams, straightforward pricing | Mid-market+ teams with complex, multi-variable pricing |
PandaDoc vs. DealHub: Which One Should You Actually Use?
- Your pricing has one or two variables, not a dozen. PandaDoc. A full CPQ engine is solving a problem you don't have yet. It's priced like enterprise software because it is one.
- You need self-serve setup with no sales call. PandaDoc. DealHub's pricing model assumes a sales-led evaluation from the start.
- Your deals involve multi-variable configuration, tiered discount approval or usage-based pricing. DealHub. That's exactly what its guided selling engine is built to solve. PandaDoc's threshold-based routing won't scale to it.
- You're already deep in Salesforce and need CPQ that runs natively inside it. DealHub. It's built to operate inside the CRM rather than alongside it as a separate document tool.
FAQ
Is DealHub actually more expensive than PandaDoc?
At every realistic comparison point, yes. PandaDoc's published entry tier starts under $20 a user monthly. DealHub has no self-serve tier at all. Third-party purchase data puts a typical contract in the tens of thousands of dollars annually, before implementation costs are even added in.
Can PandaDoc actually do CPQ, or is that just marketing?
It can handle quoting and discount-threshold approvals, which covers a lot of small-team use cases. It doesn't do rules-based configuration the way DealHub does, so pricing with many interacting variables will outgrow it.
Does DealHub work with CRMs other than Salesforce?
Yes, it's built to run on top of multiple CRMs, not Salesforce exclusively, though Salesforce is where its deepest native integration sits.
If you're not sure whether your pricing model actually needs full CPQ or just a cleaner proposal tool, this piece on CRM data hygiene is a useful gut check before either purchase, since no quoting tool fixes a CRM that can't tell you who owns the deal. Otherwise, get in touch.