Skip to content

Sales Manager

Help a rep close a stalled deal

Enhances✓ Available Now

What You Do Today

When a deal is stuck — no response, lost momentum, competitor threat — you help the rep develop a strategy to re-engage and advance the deal.

AI That Applies

Win-back intelligence — AI identifies what worked to revive similar stalled deals, suggests stakeholders to contact, and recommends messaging approaches.

Technologies

GongLinkedIn Sales NavigatorOutreachSalesLoft

How It Works

The system ingests CRM data — deal stages, activity logs, email sentiment, and historical win/loss patterns. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output — messaging approaches — surfaces in the existing workflow where the practitioner can review and act on it.

What Changes

You coach from patterns: 'In deals that stalled at this stage, re-engaging with the economic buyer and sharing a customer reference recovered 40% of them.'

What Stays

Developing the specific strategy for this deal, helping the rep craft the message, and sometimes making the call yourself.

What To Do Next

This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for help a rep close a stalled deal, understand your current state.

•
Map your current process: Document how help a rep close a stalled deal works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
•
Identify the judgment points: Developing the specific strategy for this deal, helping the rep craft the message, and sometimes making the call yourself. These are the boundaries AI won't cross.
•
Assess your data readiness: AI tools for this area need data to work. Check whether your organization has the historical data, integrations, and data quality to support Gong tools.

Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.

2

Define Your Measures

What to track and how to calculate it

Time per cycle

How to calculate

Measure how long help a rep close a stalled deal takes end-to-end today, then after AI adoption.

Why it matters

The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.

Quality of output

How to calculate

Track error rates, rework frequency, or stakeholder satisfaction scores before and after.

Why it matters

Speed without quality is just faster mistakes. Measure both.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a KPI. Adoption follows value — if the tool helps, people use it.
3

Start These Conversations

Who to talk to and what to ask

your VP Sales or CRO

“What data do we already have that could improve how we handle help a rep close a stalled deal?”

They're evaluating AI tools that will change your workflow

your sales ops or RevOps lead

“Who on our team has the deepest experience with help a rep close a stalled deal, and what tools are they already using?”

They manage the CRM and data infrastructure your AI tools depend on

a sales enablement manager

“If we brought in AI tools for help a rep close a stalled deal, what would we measure before and after to know it actually helped?”

They're building the training and playbooks around new tools

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.

← Back to AI for Sales Managers