I sent a test document through DocMetrics and watched it detect exactly what happened on the buyer side. Here is everything it surfaced.
Last week I sent a PDF through DocMetrics to test whether the intelligence layer was actually working end to end. Here is what happened.
Within minutes of the document being opened DocMetrics detected the session, identified the location, and started building engagement data. By the time the session ended it had recorded which pages were viewed, how long was spent on each one, and whether the viewer came back for a second look.
What happened next is the part that surprised me even though I built it. DocMetrics generated a plain English deal summary based on the engagement pattern. It classified the deal state as accelerating, holding, fading, or stalled. It detected whether new stakeholders from the same organisation opened the document after the original contact. And it surfaced a specific recommended action based on what that engagement pattern typically means in a real sales conversation.
The recommended action was not generic. It referenced the specific pages that got the most attention and suggested a follow up angle grounded in what experienced salespeople do when they see that exact pattern.
For a salesperson this means the moment a prospect opens your proposal you stop flying blind. You know what they read. You know what they skipped. You know whether they came back. You know whether someone else inside their organisation started looking at it.
The post-proposal stage is where most deals die silently. Not because the deal was bad but because the salesperson had no visibility into what was happening on the buyer side and followed up at the wrong moment with the wrong message.
DocMetrics is built to make that stage visible.
If you send proposals and deal with the silence after hitting send I would love for you to try it on one live deal. docmetrics.io
One thing I'd be careful with:
The interesting question may not be whether more buyer visibility is valuable.
It may be which decisions salespeople should actually trust that visibility to make.
Those can look like the same problem early on, but they tend to lead in very different directions.
That distinction is one of the sharpest things anyone has said to me about this space and I want to sit with it properly before responding too quickly.
My instinct is that DocMetrics is currently positioned closer to the visibility end than it should be. The intelligence layer is there but the product still leaves the decision entirely to the salesperson without enough scaffolding around which signals are reliable enough to act on versus which ones are interesting but not actionable.
The direction I think that points toward is not better signals but better decision boundaries. Being explicit about which specific decisions DocMetrics has enough data to inform and which ones it does not. Not just showing a confidence level but saying this signal is reliable enough to change your follow up timing but not reliable enough to deprioritise the deal entirely.
I am curious what prompted the distinction for you. Are you thinking about this from a product perspective, a sales perspective, or somewhere else entirely?
Possibly.
The reason I stopped short is that I don't think the interesting part is where the distinction came from.
I think it's the decision sitting underneath it.
I'd be careful unpacking that casually in a thread.
If you're curious, drop your email and I'll put together the tighter version.
I'd genuinely appreciate that. Thank you.
My email is support@docmetrics.io.
I'm interested in understanding the decision framework you're referring to, especially because I'm trying to make sure DocMetrics helps salespeople make better decisions rather than simply giving them more buyer activity to look at.
Looking forward to reading your thoughts.