Sent the proposal. Now what? Genuinely curious how others handle this. I've been in situations where I send a proposal, the buyer goes quiet, and I have no idea what's actually happening on their end. Is it being reviewed? Did it land with the wrong person? Did someone internal pull the plug before it even got a fair look? The weird thing is everything before the proposal feels trackable. Calls, emails, CRM notes. But the moment you hit send it's like the lights go out. What I've started paying attention to: Are they coming back to it more than once or did they open it once and disappear. Whether someone new is looking at it that I never sent it to — because that usually means my contact forwarded it internally which is actually a good sign. Which sections they're spending time on versus skipping entirely. Not perfect but it gives me something to work with instead of just waiting and hoping. What do you guys actually rely on at this stage? Gut feel, follow up cadence, something else entirely? Would love to know what's working for people.
The moment you hit send on a proposal, visibility starts to disappear. Before that? You know everything. Calls logged, emails tracked, CRM up to date. After? The buyer goes quiet. Your champion stops responding. And somewhere inside their organization, people you’ve never met are reviewing your proposal and forming opinions about your solution without you in the room. Meanwhile you're left doing one of the most painful things in sales — waiting and guessing. Is it dead? Are they just busy? Did it reach procurement? Did someone internally kill it before it got a fair shot? The deal is often being decided during this phase, yet visibility is at its lowest. I’ve become a little obsessed with this problem. What signals can you actually rely on after a proposal goes out — not gut feel, not hope, actual signals that tell you whether a deal is moving forward or fading away? A few I’ve found interesting: — Did they come back to it more than once? — Did someone new open it that you never sent it to? — Which pages are they spending the most time on? — Did engagement stop completely or simply slow down? Curious to hear from people who live this every day. What signals do you personally rely on to know if a deal is still alive after the proposal goes out?
That’s a really interesting distinction because it reframes stakeholder expansion as a momentum signal rather than just “more people involved.” What’s especially interesting is that a growing buying committee usually creates more friction operationally, but paradoxically it can also be one of the strongest signs the deal is still alive internally. I’m curious — when those additional stakeholders enter post-proposal, what usually creates the biggest slowdown from your experience? Is it more around internal alignment, procurement/legal involvement, executive buy-in, or simply the rep losing visibility into who’s driving the conversation internally?
Hey Christian — welcome to the community 👋
One thing I’ve been thinking about in B2B sales workflows: Teams are really strong at tracking signals before a proposal is sent — CRM activity, engagement, intent data, etc. But after the proposal goes out, visibility into real deal momentum seems to drop quite a bit:
CRM stages stay “clean”
engagement becomes fragmented across stakeholders
interpretation of progress becomes more intuition-based again
Curious how others here handle this phase — once a deal moves into internal buyer review and multi-stakeholder evaluation, what signals do you actually rely on to understand momentum? And if you’ve improved visibility into this phase successfully, I’d also be interested in what actually made the difference — a specific process, tool, workflow, or signal you started paying attention to.
That’s a really strong framing — especially the “trust vs capability” point. I agree that without transparency and control, most teams will default back to manual decision-making even if the AI is technically better. On the sales side, I’m seeing a similar pattern: lots of signal-rich systems, but teams still struggle to translate that into clear direction on what’s actually changing in deal momentum. So you end up with data abundance but low operational clarity. Curious — in your beta, are users more resistant to the “actioning” part itself, or more to the AI making decisions without enough explainability around why?
The “open dashboards, stare at MRR, close the tab, and guess what to do next” line genuinely stood out. I’ve been noticing a similar pattern on the sales side lately where teams technically have massive amounts of data, but operationally still struggle to interpret real momentum underneath the activity layer. Your “close the gap between knowing and acting” framing feels very aligned with a lot of the visibility problems I’ve been thinking about recently around RevOps and downstream deal signals. Curious how you’re thinking about revenue intelligence evolving once AI systems start participating more actively in operational decision-making instead of just reporting metrics.
That “right views vs total views” distinction is very close to how I’ve been thinking about post-distribution visibility too. What’s interesting to me is less the initial engagement and more whether momentum actually compounds afterward things like engagement expanding across stakeholders, repeated re-engagement, or movement toward real next steps instead of surface-level interest. Feels like both creator distribution and B2B sales are converging on the same challenge now: interpreting downstream intent quality rather than just raw activity volume.
The “outreach angles that actually get replies” part stood out. One thing I’ve been noticing lately is that outbound systems are getting very good at generating engagement, but much weaker at interpreting what happens after the initial response layer. A lot of teams can optimize for opens/replies now, but understanding whether actual buying momentum is strengthening or quietly diffusing across stakeholders still feels surprisingly manual. Curious whether you’ve seen similar gaps once conversations move beyond the first engagement stage.
I think the “every system interprets the account differently” point is the part that’s becoming more dangerous now that AI scoring layers are getting added everywhere. Once different systems start generating their own confidence models independently, teams can end up with multiple competing “truths” about the same account at the same time. The “single trustworthy account narrative” idea is interesting because I suspect the hard part is not aggregation itself, but deciding which signals deserve more weight as account context evolves. Curious how you’re thinking about that side specifically. For example:
do you treat CRM activity as the highest-trust layer?
does product usage eventually outweigh sales activity?
how do you handle situations where engagement looks strong but stakeholder progression weakens underneath?
Feels like that weighting logic becomes the real operating system behind the orchestration layer.
