Best proposal software with analytics and reporting: Which platforms actually track engagement

PandaDoc offers the most granular proposal engagement tracking of the major platforms. That data syncs back to the CRM automatically, so a sales manager doesn't have to check two systems to see what's actually happening to a proposal after it's sent.

Proposify, Qwilr, and Better Proposals all offer proposal analytics too, but at different levels of depth. Proposify tracks section-level time and revisits well, though that data lives mainly in its own dashboard rather than flowing into CRM fields. Qwilr's web-based proposal format gives strong page-level engagement data with deep CRM sync, particularly with HubSpot, but trades the traditional document format for a web page. Better Proposals tracks opens and section views but offers less depth on team-level reporting. All three are covered in detail below.

The rest of this post breaks down what each platform offers, and ends with a side-by-side comparison table you can use to evaluate your shortlist.

What proposal analytics actually measure

Most "analytics" in proposal software fall into one of two buckets, and the difference matters more than the marketing copy usually lets on.

Vanity metrics are what most tools show by default: total opens, total views, total time in the document. These tell you that someone looked at the proposal. They don't tell you how they engaged with it, or what that means for the deal.

Meaningful engagement metrics tell you something you can act on: time spent per section — did they linger on pricing, scope of work, or case studies? A viewing timeline showing when they first opened it and how many times they came back, forwarding activity that signals internal sharing, individual recipient tracking on multi-party proposals (did the economic buyer open it, or only the champion?), and device or location context, opened on mobile on a Friday afternoon reads differently than opened on desktop during a focused work session.

Team-level reporting is the layer that ops and sales leadership actually need: aggregate win rates by template, average time-to-open, average time-to-sign, and which sections of a proposal correlate with higher close rates across the whole team, not just one deal.

Use those three tiers: Vanity, meaningful engagement, and team reporting, as the lens for everything that follows. A platform that only delivers the first tier isn't giving you proposal analytics. It's giving you a read receipt.

PandaDoc proposal analytics: what you actually get

Real-time open and view notifications. A rep is notified the moment a proposal is opened. That turns follow-up timing from a guess into a response to an actual signal. Call ten minutes after someone opens the pricing page, not three days later when the moment has passed.

Section-level time tracking. PandaDoc shows how long each recipient spent on each section. A prospect who spends 11 minutes on the pricing table and 30 seconds on the executive summary is telling you something different from one who spends 10 minutes in the case studies. The first one is doing the math. The second one is still being convinced.

Forwarding and internal sharing detection. PandaDoc flags when a proposal gets forwarded or shared internally. A strong signal that the deal is moving inside the account, often surfacing stakeholders the rep didn't know were involved.

Individual recipient tracking in multi-party proposals. For proposals sent to several people, PandaDoc tracks activity per recipient, not just in aggregate. That means a rep can see that the champion has opened the proposal three times while the CFO hasn't opened it at all. A very different conversation than "someone on their team looked at it."

Audit trail. Every viewing event is logged with a timestamp, and recipient identity, creating a verifiable activity record that syncs to the CRM deal.

Team-level reporting. Managers get aggregate performance across the team: average time-to-open, average time-to-sign, proposal volume by rep, and win rate by template, which surfaces which proposal structures actually close faster, instead of relying on instinct.

What you do with this is the part most analytics write-ups skip. If a prospect spent 15 minutes on the pricing section and didn't move forward, that's a call to talk through pricing before the deal goes cold. If a proposal gets forwarded to three new recipients, that's a cue to reach out and confirm who else is now part of the evaluation. If the CFO still hasn't opened it after the champion has viewed it three times, that's a signal to coach the champion on how to sell it internally, rather than waiting for the deal to stall on its own.

This kind of tracking sits on top of PandaDoc's document tracking software and pairs naturally with interactive proposals, proposals built to be engaged with, not just read, tend to generate more usable engagement data in the first place. PandaDoc's AI assistant can also help surface patterns across engagement data, flagging which deals show stalling signals without a rep needing to dig manually. See PandaDoc's proposal software for the full feature set, or 5 ways to increase the close rate of your proposal for how this data connects to outcomes.

In practice, this shows up in real deals: a rep notices that a prospect has viewed the pricing section four times without signing, reaches out proactively rather than waiting, and uncovers a budget objection that never came up on the original call. That conversation doesn't happen without the section-level data indicating where the hesitation actually lies.

How the top proposal platforms compare on analytics

PandaDoc

The most granular proposal analytics of the platforms here. Section-level engagement, individual recipient tracking, forwarding detection, CRM sync, and team-level reporting, covered in full detail above.

Proposify

Proposify's analytics are genuinely strong on section-level time tracking, click tracking, and revisit data, and it offers team-level views for comparing rep performance. The gap shows up in CRM depth: engagement data tends to stay inside Proposify's own dashboard rather than flowing into CRM custom fields the way PandaDoc's does, so managers who want pipeline-level engagement visibility inside their CRM may need to check both systems.

Qwilr

Qwilr's web-based proposal format generates page-level engagement data, and its CRM sync (especially with HubSpot) is deep: viewer interactions can trigger CRM workflows directly. The tradeoff is the format itself: a recipient gets a link to a live page rather than a downloadable document, which works well for some buyers and is a dealbreaker for others who need a standalone file.

Better Proposals

Better Proposals tracks opens, section views, and time spent per section. Team-level reporting and CRM sync depth are lighter than PandaDoc or Proposify, which makes it a better fit for smaller teams with simpler tracking needs than for ops teams trying to build a coaching program on top of the data.

For a broader platform comparison beyond analytics specifically, see best proposal software platforms.

Proposal analytics comparison table

PandaDoc wins on overall analytics depth combined with CRM sync. It's the strongest pick if you want engagement data to live where your sales team already works. 

What to look for in proposal analytics: 4 questions before you buy

Does it track at the section level, or just total views? Total views tell you a proposal was opened. Section-level data tells you which parts the prospect actually engaged with. If a tool only offers total views, it isn't proposal analytics. It's a read receipt.

Does engagement data sync to your CRM? Analytics that live only inside the proposal tool create a second system someone has to check. Reps end up splitting attention across two dashboards, the data goes stale, and managers lose visibility into pipeline-level engagement trends. Ask specifically whether the sync is automatic or whether someone has to export and import it.

Can you see individual recipient activity in multi-party proposals? Most real proposals go to more than one stakeholder. If a tool only shows aggregate activity, you can't tell whether the economic buyer has engaged at all or whether it's only the champion clicking around. For anything beyond the simplest deals, individual recipient tracking isn't optional.

Does the platform offer team-level reporting, or only per-proposal stats? Coaching reps and improving how proposals are built requires aggregate data. A tool that only shows you one proposal at a time can't inform a strategy; it can only tell you what already happened on one deal.

Related reading: proposal management software: how to choose the right tool covers the full feature set proposal software should have, with analytics as one of five must-haves.

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