MMarketing Against The Grain
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Sales

At-Risk Deal Triage

Score open deals by inactivity and engagement, then prescribe the next action.

Difficulty
Easy
Time to result
~days to results
Steps
6
Confidence
99%

At-Risk Deal Triage converts open-pipeline data into a prioritized daily action list. The process reviews every open opportunity against three core signals: how long it has remained in its current stage, when meaningful activity last occurred, and whether buyer engagement is stable or declining. AI summarizes the risk factors for each deal, ranks the opportunities needing attention, and recommends a specific next step or re-engagement message. Instead of stopping at diagnosis, the framework produces an action column that a salesperson can work through. A more advanced pass incorporates the refined ICP and lessons from successful deals so that recovery messages reflect the account's likely buying dynamics. The result is a direct data-to-action workflow for pipeline management.

Origin

Extracted from Marketing Against The Grain during a HubSpot demonstration that identified inactive deals, explained their risk factors, and drafted re-engagement emails.

Core principles

  • 01Deal risk should be inferred from multiple behavioral signals.
  • 02A risk report is useful only when it recommends the next action.
  • 03Salespeople need a prioritized work queue, not another static dashboard.
  • 04ICP learning can improve the relevance of recovery actions.

How to run it

  1. 1

    Collect Open Deals

    Retrieve all relevant open opportunities and their current stages, values, owners, and expected timelines. Ensure recent activities and notes are included.

    Watch out Incomplete activity capture can cause healthy deals to appear inactive.

  2. 2

    Assess Stage Duration

    Compare the time each opportunity has spent in its current stage with normal progression for similar deals. Flag unusual stagnation.

    Pro tip Use segment-specific baselines when deal cycles differ materially.

  3. 3

    Measure Recent Activity

    Identify the last meaningful interaction and calculate how long the account has been inactive. Distinguish automated touches from genuine buyer engagement.

    Watch out A recent automated email does not necessarily mean the buyer is engaged.

  4. 4

    Evaluate Buyer Engagement

    Review response behavior, meeting participation, stakeholder activity, and other signs of momentum or disengagement.

    Pro tip Look for deterioration, not only absolute inactivity.

  5. 5

    Prioritize and Prescribe

    Rank the deals by risk and commercial importance, then generate a concrete next action or message for each one.

    Pro tip Add an “action to take” column to turn the report into a work queue.

    Watch out Review generated outreach for factual accuracy and tone.

  6. 6

    Apply ICP Learning

    Use the refined ICP and successful-deal patterns to adapt the recommended action to each account's likely buyer roles and priorities.

    Watch out Do not force an ICP pattern onto an account when its evidence points elsewhere.

In the wild

Six-Week Inactive E-Commerce Deal

AI flags a $42,000 e-commerce opportunity that has remained in its stage since May 13 and has received no client response for more than 40 days. It explains the inactivity risk and drafts an email for the seller to re-engage the buyer.

The stalled opportunity becomes a clearly prioritized account with an immediately executable next step.

Common mistakes

Using One Risk Signal

Stage age alone can misclassify deals, so it should be considered with last activity and buyer engagement.

Producing Analysis Without Actions

A list of endangered deals does not improve the pipeline unless each account receives a concrete next step.

Treating All Deals Equally

Risk should be balanced with value, fit, and recoverability when prioritizing a salesperson's day.

Is it for you?

Best for

Sales teams with many open deals and sufficient CRM activity data to distinguish healthy progression from stalled engagement.

Not ideal for

Pipelines with very few deals or unreliable activity logging.

From the transcript

reviewed my open deals in HubSpot, identified the ones that are at risk based upon the stage duration, last activity, and buyer engagement.

Kieran · 13:30

And then I say recommend specific next steps or message in to re-engage each account.

Kieran · 13:30

I would say, give me my action to take. That's my day, right?

Kieran · 15:00

From the episode

AI Just Replaced a $100K Sales Analyst for $20/Month