Professional Services

    See which proposals are about to go cold, before they do

    Proposal history, CRM activity and email engagement connected to score deals by real momentum, not logged stage.

    Why this decision matters.

    Every services firm has a pipeline of proposals nobody has closed and nobody has killed. They sit in the CRM at a stage that has not changed in weeks, inflating the forecast and quietly consuming partner attention.

    The failure mode is treating the whole list equally. Sales chases everything with the same cadence, so genuinely warm opportunities get the same three-line follow-up as deals that ended the day the champion left.

    Distinguishing cooling from closed changes both forecast quality and where senior time goes. Firms that do it well recover a share of proposals they had written off, and they stop forecasting revenue that was never going to arrive.

    Comparing tools for professional services? See how SIGNLD compares with Power BI. For the underlying numbers, read AI analytics for agency profitability.

    How SIGNLD answers it.

    1. Step 01

      Connects to your source systems

      Read-only access to marketing and inbound engagement (HubSpot), your CRM opportunity records (Salesforce), and the proposal email threads themselves (Gmail).

    2. Step 02

      Builds the graph across those systems

      Opportunities, contacts, proposal documents, and engagement history are linked so a stalled deal is evaluated on real buyer behavior rather than the stage a rep last set.

    3. Step 03

      Returns a ranked brief

      The brief separates cooling deals from dead ones, ranks them by recoverable value and buyer signal, and recommends which need a partner call, a revised proposal, or a clean close-lost.

    Reads from.

    HubSpotSalesforceGmail

    SIGNLD connects read-only to your existing systems. 800+ integrations available.

    What the brief looks like.

    The question

    Which proposals in our pipeline have the lowest real momentum right now?

    What SIGNLD found

    4 proposals marked as 'active' in the CRM have had zero prospect-side email activity in 21+ days. Two of these are in the final proposal stage. One proposal marked as 'verbal yes' has had no contract sent in 18 days and the contact has opened two competitor-domain emails in that period.

    Evidence

    • 4 'active' CRM deals: zero inbound contact activity in 21+ days
    • 1 'verbal yes' deal: no contract sent, contact opened competitor emails in last 18 days
    • Historical data: proposals with no prospect contact for 21 days close at 11% vs 58% base rate

    Recommended move

    Re-engage the 4 stalled proposals this week with a specific next step, not a check-in. Send the contract for the verbal yes deal today. Do not wait for the contact to ask. Reassign or archive if no response within 5 business days.

    2.1x improvement in proposal close rate

    Illustrative brief. Figures are sample data, not customer results.

    Questions.

    What makes a proposal 'cooling' rather than lost?

    Behavior. Continued document opens, replies from a new stakeholder, or renewed website activity read very differently from a thread that has been silent since the last champion left.

    What systems does SIGNLD read from for this decision?

    Your marketing automation platform, your CRM, and your email. Proposal or e-signature tools can be connected when you want document-level engagement.

    Will this change our forecast numbers?

    Usually yes, and typically downward at first, because the brief identifies pipeline that has no live buyer signal. That is the point of running it.

    How accurate is the brief?

    Every recoverability judgment links to the activity behind it and carries a confidence score, so a partner can see exactly why a deal was ranked where it was.

    Run this decision on your own data.

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