How Sales Leaders See At-Risk Deals From Call Data
Lokesh Sharma
Product Manager
·
9
min read
Sales leaders see at-risk deals from call data by tracking six signals buyers reveal in conversation: only one buyer contact on the calls, no dated next step, a champion going quiet, a new decision-maker, competitor or pricing pushback, and a timeline that keeps moving. Capture them on every call, roll them up by deal, and review the changes weekly with the evidence attached.
Key takeaways
A CRM stage records what the rep believes. A call transcript records what the buyer said. When they disagree, trust the call.
Six call signals show up before a deal slips: single-threading, no next step, a quiet champion, a new decision-maker, competitor or pricing pushback, and timeline drift.
Recorders and conversation intelligence tools score the call afterwards. A live assistant can help the rep close the gap while the buyer is still on the call.
A deal with no recorded buyer call in two weeks is not safe. It is unobserved, so report it as its own risk.
Review only the deals whose signals changed, with the call moment open, and give each one a next-call action.
Why is call data the best place to spot a slipping deal?
CRM fields record what the rep believes about a deal and remembered to type. Calls record what the buyer actually said: who joined, what they agreed to do next, which competitor they named and when they now expect to decide. When the two disagree, the call is usually right, because the buyer has no reason to be optimistic on your behalf.
Call data also shows who is missing. Forrester found that, on average, 13 people within an organization are involved in the buying decision (Forrester, December 2024). A deal where the same single buyer appears on every call has met a small part of that group, however advanced the CRM stage looks.
This guide is about reading risk from the conversation itself. For scoring deal health across CRM, email and calls, and forecasting from it, read our guide to predicting deal success and monitoring pipeline health.
Which call signals show a deal is at risk?
Six signals show up in calls before a deal slips. Each has a typical phrasing, a way to detect it in call data and a reason it predicts trouble. The phrases below are illustrations; your buyers will have their own versions.
Signal | What you hear on the call | How to detect it in call data | Why it predicts a slip |
|---|---|---|---|
Single-threading | "I'll take this back to the team." | Count distinct buyer-side speakers per deal across calls; check whether the economic buyer has ever spoken | Decisions are being made in rooms you are not in |
No next step agreed | "Send me something and I'll take a look." | No date, owner or booked meeting in the last minutes of the transcript; no follow-up on the calendar | The buyer is not committing time, so urgency is gone |
Champion going quiet | "I'm swamped this quarter, let's regroup." | Champion misses calls, declines invites or speaks less than on earlier calls in the same deal | The project lost priority or your champion lost influence |
New decision-maker | "Our new VP wants to take a look before we sign." | A buyer-side attendee or a name mentioned on the call that is not a contact on the deal | Decision criteria and the decision process can reset |
Competitor or pricing pushback | "We're also talking to another vendor." "Can you do better on price?" | First mention of a competitor, especially late in the cycle; pricing objections and discount requests by stage | The buyer is benchmarking, or value was never tied to their own numbers |
Timeline drift | "Probably next quarter now." "Legal hasn't looked at it yet." | Dates the buyer says on calls compared with the CRM close date; meetings rescheduled; paper process never discussed | The close date in the CRM no longer matches the buyer's plan |
Read the signals in combination. One competitor mention on an otherwise healthy deal is normal due diligence. A competitor mention plus a new decision-maker plus a timeline that moved is a deal being re-evaluated, whatever stage the CRM shows.
In MEDDPICC terms, a quiet champion and a new decision-maker are gaps in Champion and Decision Process (MEDDICC definitions).
How do you capture risk signals from call data?
Three things have to be true before any tool can show you call-based risk:
Coverage. Buyer calls on open deals are captured, with consent. Check which late-stage deals have no recorded buyer call in the last 14 days and list them separately.
Attendees mapped to contacts. Each buyer-side speaker is matched to a CRM contact with a title and a role such as champion or economic buyer. Without this, single-threading and new decision-makers cannot be computed.
Signals written to the deal. The next step (date and owner), competitors named, pricing objections and the buyer's stated timeline are stored on the opportunity, not only in a transcript. Leaders review deals, not calls.
Then decide when the signal is captured: that decides whether the leader learns about the risk or the rep fixes it.
After the call: recorders and conversation intelligence
Conversation intelligence tools record, transcribe and analyze the call afterwards. They are good at the roll-up: the signal reaches the deal record and the manager's alerts with the transcript line attached. The limit is timing. By the time an alert says no next step was agreed, the buyer has left, and the fix is an email.
During the call: a live assistant
A live assistant helps the rep during the call, on the rep's own screen. Instead of reporting tomorrow that a question was never asked, it shows what is still open while the buyer is on the line. Proshort's Aria, for example, tracks the agenda, suggests the next question and tracks every objection until it is resolved; only the rep sees it. The signals still roll up to the deal afterwards.
Most teams need both: capture after every call for the pipeline view, and live help on the calls where a missed question costs most, such as late-stage and pricing calls.
Which tools turn call data into deal risk alerts?
Five kinds of tools read calls for deal risk. They differ most in what they read and when the risk shows up. How we checked: we read each vendor's own product pages and help docs in November 2026 and describe only what they state. Proshort makes Aria and is listed last. For a fuller deal health tool comparison, see the pipeline health guide linked above.
Category | Example and what its site describes | What it reads | When the risk shows up |
|---|---|---|---|
Conversation intelligence with deal scoring | Avoma: a 0 to 100 deal risk score with Low, Medium and High classes and the factors behind it; flags ghosted accounts, missing next steps and deals with no activity | Meetings, email and CRM updates | After the call; re-scored as new activity arrives |
Revenue platform | Gong: Gong Forecast says it detects deal risk in real time; the AI Deal Monitor agent notifies you of hidden deal risks | Customer interactions Gong captures | After the call, as alerts |
CRM-native conversation insights | Salesforce: Opportunity Insights on the record (objections, risks, pricing, next steps); Deal Guidance flags stalled momentum or missing stakeholders; Call Explorer answers questions such as "Which deals mentioned pricing?" | Calls and the opportunity record | After the call, on the opportunity |
Account and engagement intelligence | Backstory (formerly People.ai): reads every call, email and CRM record; shows who is engaged, who has gone quiet and who just left | Calls, email, CRM | After activity is captured |
Live call assistant | Winn.ai: real-time AI guidance on every sales call that answers questions and reinforces your playbook | The live call and deal context | During the call |
Live call assistant with deal signals: Proshort (our product) | Aria helps the rep privately during the call; pipeline view with probability, 14-day momentum, MEDDICC and signals such as a champion going silent | Calls, emails, CRM records | During the call and after it |
Two notes for your shortlist. Avoma's help center says deal health needs its Revenue Intelligence add-on, a synced CRM opportunity and recorded deal meetings. Salesforce says Conversation Intelligence is included in every Sales Cloud edition, an easy start for Salesforce teams; its page describes outputs after the call, not help during it.
How should sales leaders review at-risk deals each week?
A 30-minute call-evidence review works better than walking through every deal. Keep one rule: no deal is discussed without the call moment behind its flag.
Pull the change list. Ask for the deals where a call signal appeared or changed in the last seven days. Plain-English questions work well: "Which open deals ended their last call without a dated next step?", "Where did a competitor come up for the first time this week?", "Which deals had a new buyer-side attendee?" See how to ask your pipeline questions in plain English.
Play the moment, not the call. Open the transcript line or minute of audio behind each flag. Hearing the buyer say "probably next quarter" settles more than ten minutes of commentary.
Ask the rep three questions. Who on the buyer side signs, and have we heard them on a call? What did the buyer agree to do next, in their words? What did they raise that we have not answered?
Pick a lane for each deal. Fix it on the next call, escalate it, or re-forecast it now (see the table below).
Check the next call. A signal is cleared only when a later call shows it: the date is in the calendar, the economic buyer joined, the competitor question was answered.
Use this triage table to pick the lane. The thresholds are examples; set your own from the deals you closed last year.
Signal | Fix on the next call | Escalate when | Re-forecast when |
|---|---|---|---|
Single-threading | Ask the champion who else signs off and invite that person | The economic buyer has not been on a call by the proposal stage | The champion cannot name the approval steps |
No next step | End the call with a date in both calendars | Two calls in a row end without one | The buyer declines to set one |
Champion going quiet | Reach a second contact and ask what changed | The champion misses two scheduled calls | The champion has left or lost the project |
New decision-maker | Book a session on the new person's criteria | The new person outranks your economic buyer | They restart the evaluation or change the criteria |
Competitor or pricing pushback | Give the battlecard answer and proof; tie price to the buyer's own metrics | A discount is requested before metrics are agreed | The buyer confirms a preferred competitor |
Timeline drift | Confirm the buyer's date and what drives it | The buyer's date and the CRM close date are a quarter apart | The buyer states a later date: move the close date now |
What mistakes make call-based risk signals misleading?
Treating no data as good news. A deal with no recorded buyer call shows no risk signals, which is not the same as no risk. Flag unobserved deals.
Counting internal calls. Count only calls with buyer-side attendees.
Alerting on every keyword. A competitor name in the first discovery call is due diligence. Alert on first mentions late in the cycle and on repeated mentions.
Reading a vacation as a silent champion. Open the evidence before you escalate; an out-of-office reply explains many gaps.
Grading reps instead of deals. If a candid call that surfaces risk gets the rep in trouble, reps stop asking hard questions. Credit the rep who found the risk early.
Where Proshort fits (and where it does not)
Proshort fits teams whose deal risk starts in conversations and who want the rep to act on it on the next call, not only read about it afterwards.
Pipeline review. Every active deal with probability, 14-day momentum and MEDDICC at a glance, plus Aria signals, with evidence from the calls rather than guesses in the CRM.
Pattern and signal detection. Signals such as a champion going silent or a document asked for twice, surfaced from calls and emails.
Ask Aria. Ask "Which deals need my attention today?" in plain English and get an answer with sources, or schedule it as a daily 8:00 email.
AI agents. Build a deal-risk analyzer that runs on every meeting, writes back to CRM fields and posts to Slack, with a preview run before it goes live.
Help on the next call. Aria Live puts the sourced answer, the proof point and the next question on the rep's screen in under a second, and tracks every objection until it is resolved. Only the rep sees it.
"The contextual insights it delivers are not only precise but also perfectly timed." Kanika Bhalla, Chief Revenue Officer, Increff
Read how Proshort became Increff's deal clarity engine. Proshort is not the best fit if your first need is forecast roll-ups across many teams (forecasting products such as Gong Forecast are built for that), if you want call insights inside Salesforce with no new vendor, or if your team will not capture calls.
Frequently asked questions
How can sales leaders see which deals are at risk from call data?
Capture buyer calls on every open deal, map each buyer-side speaker to a CRM contact, and write the signals from each call to the deal: next step, attendees, competitors named, pricing pushback and the timeline the buyer stated. Then review the deals whose signals changed each week, with the call moment behind each flag open in front of you.
What are the warning signs of a deal at risk on a sales call?
The six most useful are a single buyer contact doing all the talking, a call that ends without a dated next step, a champion who stops joining or talks less, a new decision-maker, competitor or pricing pushback late in the cycle, and a timeline that moves. One signal alone is often normal; two or three together usually mean the deal is being re-evaluated.
Can AI detect deal risk during a live call?
Yes, with a live assistant rather than a recorder. Conversation intelligence tools score the call after it ends, so the leader learns about the risk the next day. A live assistant such as Proshort's Aria helps the rep on their own screen during the call, tracking the agenda and suggesting the next question, so an open item can be raised while the buyer is still there.
Is CRM data enough to spot at-risk deals?
Not on its own. CRM fields record what the rep believes and typed in, so they lag behind what buyers say and tend toward optimism. Stage history and pushed close dates help, but signals such as a new decision-maker, a competitor named for the first time or a buyer saying "probably next quarter" only exist in the conversation.
How often should sales leaders review at-risk deals?
Weekly, in a short review of the deals whose call signals changed, plus an alert for urgent changes such as a champion leaving. Reviewing every deal every week spreads attention thin. Reviewing only the changes, with the call evidence open, keeps the meeting to about 30 minutes and ends with a next-call action for each deal.
To see call signals and deal risk side by side for your own pipeline, explore Proshort pipeline review.
