---
title: "Sales Call Scoring: How to Score Sales Calls and Coach Reps to Win More Deals"
description: "Master sales call scoring with a proven scorecard, a real scoring example and coaching tips that turn every call score into more won deals."
url: https://www.connectloop.ai/blog/sales-call-scoring
publisher: ConnectLoop
author: "ConnectLoop Staff"
published: 2026-10-20
updated: 2026-10-20
---

# Sales Call Scoring: How to Score Sales Calls and Coach Reps to Win More Deals

Sales call scoring is the practice of rating a sales call against a clear set of criteria, such as discovery depth, objection handling and next-step commitment, to see what the rep did well and what to improve. A good score is specific, comes with a reason, and leads to one coaching action the rep can use on their next call. This guide shows how to build a sales call scorecard, how to score calls with SPIN, MEDDIC, BANT and SPICED, how to calculate a score step by step, and how ConnectLoop helps teams score live calls and practice calls on the same framework.

## What is sales call scoring?

Sales call scoring is a structured way to review a sales call. A manager, peer, rep or AI reads the call recording or transcript and rates it against a call scorecard: a short list of criteria with a scoring scale. The result is an overall score plus a score for each criterion, which shows exactly where the call was strong and where it slipped.

The scoring criteria come from what good calls look like at your company. For a discovery call, that might be setting an agenda, uncovering pain, mapping the decision process and agreeing on a next step. For a demo call, it might be recapping the buyer's pain and handling questions.

Call scoring turns "that call felt good" into something a sales manager can coach. At ConnectLoop, we think of a call score as a map for the next conversation, not a grade on the last one. For a quick definition, see our glossary entry on [call scoring](https://www.connectloop.ai/resources/glossary/call-scoring).

### How is call scoring different from lead scoring?

In short, call scoring vs lead scoring comes down to who is being measured. Call scoring rates how well your rep ran a conversation. Lead scoring rates how likely a prospect is to buy, based on fit and behavior. One measures your team's skill, the other measures the buyer's readiness. Most teams use both: lead scoring decides who to call first, and call scoring improves how those calls go.

If you want to go deeper on the buyer side, read our guide to [lead scoring](https://www.connectloop.ai/blog/lead-scoring).

### How is sales call scoring different from call center quality assurance?

Call center quality assurance usually checks compliance and service: greetings, required disclosures, hold times and politeness. Sales call scoring checks selling skill: discovery, qualification, objection handling and next steps. Some teams score both, but the scorecards look very different and serve different goals.

## Why should sales teams score their calls?

Sales managers, sales enablement and RevOps teams score calls to coach from facts instead of memory, to keep every rep on the same sales methodology, and to spot deal risk early. A consistent call score shows patterns no single call review can, such as a rep who always skips the decision process or a team that rarely confirms a next step.

The main benefits of sales call scoring:

- **Faster onboarding.** New hires see exactly what a good call looks like and which skills to work on first, which shortens ramp time.
- **Coaching that sticks.** Feedback tied to a specific criterion and moment in the call is easier to act on than "be more consultative."
- **Methodology adherence.** If your team sells with SPIN Selling or MEDDIC, scoring shows whether reps actually use it on calls.
- **Earlier deal risk signals.** Low scores on decision process or stakeholders often show a deal is single-threaded before it stalls.
- **Fair performance reviews.** Every sales rep is judged on the same criteria, not on a manager's mood, and the team benchmark becomes clear.
- **Better forecasts.** Deals where the economic buyer and decision process were confirmed on calls are easier to forecast.

ConnectLoop customers often start call scoring for onboarding, then keep it because it makes weekly one-to-one sessions faster. For more on why coaching matters, see the [benefits of sales coaching](https://www.connectloop.ai/blog/benefits-of-sales-coaching).

## What should a sales call scorecard include?

A sales call scorecard should include five to seven criteria that predict a good outcome for that call type, a weight for each one, a simple scoring scale, and a clear description of what each score looks like. Keep it short enough that a manager can score a call in a few minutes and a rep can remember it during the next call.

Here is a sample discovery call scorecard template with weighted criteria that add up to 100. Copy it and adjust the weights for your team:

| Criterion | Weight | What a top score looks like |
| --- | --- | --- |
| Opener and agenda | 10 | States the reason for the call, confirms time, and agrees on an agenda |
| Discovery depth | 25 | Asks open questions, follows up on answers, and lets the buyer do most of the talking |
| Pain and impact | 20 | Gets the buyer to describe the problem and what it costs them |
| Objection handling | 15 | Acknowledges the concern, asks a question to understand it, then answers |
| Decision process and stakeholders | 15 | Learns who decides, who else is involved, and how they buy |
| Next-step commitment | 15 | Books a specific next step with a date, time and attendees |

[Image: Sales call scorecard template for a discovery call with six weighted criteria adding up to 100: opener and agenda, discovery depth, pain and impact, objection handling, decision process and next-step commitment]

*A discovery call scorecard template*

Notice what isn't on the list: "sounded confident" or "good rapport." Those matter, but they're hard to score consistently. Every criterion on a strong scorecard can be checked by pointing to a moment in the transcript.

Other criteria teams add, depending on the call type:

- **Question quality:** open questions vs yes-or-no questions.
- **Talk-to-listen ratio:** in discovery, the buyer should do most of the talking. Watch for long monologues.
- **Active listening:** does the rep summarize what the buyer said before moving on?
- **Value proposition:** is value tied to the buyer's stated pain?
- **Competitor mentions:** did the rep ask what else the buyer is considering?
- **CRM notes:** were key facts recorded after the call?

ConnectLoop's Sales Assistance lets teams build this kind of scorecard as a custom framework, with up to 12 steps and suggested wording for each one. The same steps then guide the rep during the call.

## How do you score calls with SPIN, MEDDIC, BANT or SPICED?

To score calls with a sales methodology, turn each step of the framework into a scoring criterion. A SPIN Selling call is scored on Situation, Problem, Implication and Need-payoff questions. A MEDDIC call is scored on whether each qualification element was covered. This keeps scoring aligned with how your team already sells.

| Framework | Score these criteria | Best for |
| --- | --- | --- |
| SPIN Selling | Situation, Problem, Implication, Need-payoff | Discovery calls where the buyer needs to see the cost of the problem |
| MEDDIC / MEDDPICC | Metrics, Economic buyer, Decision criteria, Decision process, Identify pain, Champion (plus Paper process and Competition in MEDDPICC) | Complex B2B deals with several stakeholders |
| BANT | Budget, Authority, Need, Timeline | Quick qualification on early or inbound calls |
| SPICED | Situation, Pain, Impact, Critical event, Decision | Value-led selling tied to a deadline |
| Challenger | Teach, Tailor, Take control | Calls where the rep brings a new insight to the buyer |

Don't score every step on every call. A first discovery call might cover Situation, Problem and Implication well and leave Need-payoff for the next one. Score what the call was meant to do, and mark the rest as "not applicable."

For more detail on each framework, see our guides to [SPIN selling questions](https://www.connectloop.ai/blog/spin-selling-questions), the [MEDDPICC sales methodology](https://www.connectloop.ai/blog/meddpicc-sales-methodology) and [BANT vs MEDDIC](https://www.connectloop.ai/blog/bant-vs-meddic). ConnectLoop supports SPIN, MEDDICC, BANT and Challenger as built-in frameworks in Sales Assistance, and SPIN Selling, MEDDICC and SPICED for scored practice in Sales Training.

## Which scorecard fits each type of sales call?

Each call type needs its own scorecard, because a good cold call and a good demo call succeed in different ways. Use one scorecard per call type, with three to six criteria each. A single scorecard for every call ends up rewarding the wrong things, such as long discovery on a call that was meant to book a meeting.

| Call type | What to score | What a strong call ends with |
| --- | --- | --- |
| Inbound first call | Uses what the buyer already said in chat or email, fills gaps in qualification, confirms fit | A booked discovery call or demo with the right people |
| Cold call | Reason for the call stated early, one question about the prospect's situation, first objection handled | A booked meeting or a clear "no" |
| Discovery call | Agenda, discovery depth, pain and impact, decision process, competition | An agreed next step and a clear picture of the deal |
| Demo call | Recap of the buyer's pain, demo tied to their use case, questions and objections handled | Agreed evaluation steps or a trial |
| Negotiation call and closing call | Summary of value, objections surfaced, terms discussed calmly | A decision, or a dated plan to reach one |

[Image: Call scoring criteria for five call types, inbound first call, cold call, discovery call, demo call and closing call, with what to score and how a strong call ends]

*One scorecard for each type of sales call*

Inbound first calls are the most overlooked. When a buyer has already talked to your website, the rep should start from that conversation, not from scratch. With ConnectLoop, Lia's chat transcript, lead score and qualification answers are available before the call, so the scorecard can reward reps who use them. Our guides to [inbound lead qualification](https://www.connectloop.ai/blog/inbound-lead-qualification) and [discovery call questions](https://www.connectloop.ai/blog/discovery-call-questions) show what to ask.

## How do you score a sales call, step by step?

To score a sales call, pick the call type, use the matching scorecard, review the recording or transcript, rate each criterion with a reason, calculate the overall score, and choose one thing to coach. The whole process should take a few minutes per call once the scorecard is stable.

1. **Pick the call type.** Decide whether this was a discovery, demo, cold or closing call, and open the matching scorecard.
2. **Review the call.** Read the transcript or listen to the recording. Jump to the key moments instead of replaying the whole call.
3. **Rate each criterion.** Give a score on your scale and mark criteria that didn't apply.
4. **Write a reason for every score.** One line per criterion, pointing to what the rep said or didn't say.
5. **Calculate the overall score.** Apply the weights to get a score out of 100.
6. **Choose one coaching focus.** Pick the lowest-scoring criterion that matters most, and agree on one change for the next call.

Before rolling out a new scorecard, test it on past calls. Score five won deals and five lost deals. If the scores don't separate them, change the criteria. This back-testing step stops you from measuring things that don't predict results.

ConnectLoop teams use Sales Training to run this same loop on practice calls, where every step is scored with a reason automatically.

## How do you calculate a sales call score?

To calculate a sales call score, rate each criterion on your scale, divide by the top of the scale, multiply by the criterion's weight, and add the results. With weights that total 100, the final number is a score out of 100 that you can compare across calls and reps.

Here's a worked example using the discovery scorecard above, rated on a 1 to 5 scale:

| Criterion | Weight | Rating (1–5) | Calculation | Points |
| --- | --- | --- | --- | --- |
| Opener and agenda | 10 | 4 | 4 ÷ 5 × 10 | 8 |
| Discovery depth | 25 | 3 | 3 ÷ 5 × 25 | 15 |
| Pain and impact | 20 | 2 | 2 ÷ 5 × 20 | 8 |
| Objection handling | 15 | 4 | 4 ÷ 5 × 15 | 12 |
| Decision process and stakeholders | 15 | 2 | 2 ÷ 5 × 15 | 6 |
| Next-step commitment | 15 | 5 | 5 ÷ 5 × 15 | 15 |
| Total | 100 |  |  | 64 |

[Image: Worked sales call scoring example showing ratings, reasons and points for each criterion, an overall score of 64 out of 100, and a coaching focus on impact and decision process]

*One discovery call, scored*

The overall score is 64 out of 100. But the number on its own isn't the lesson. The reasons are:

- **Pain and impact (2):** "The buyer said leads go cold after hours, but the rep didn't ask what that costs them."
- **Decision process (2):** "The rep never asked who else needs to approve this."
- **Next step (5):** "Booked a demo for Thursday at 2:00 PM with the buyer and their operations lead."

This rep is great at booking next steps but leaves deals single-threaded. The coaching focus is clear: ask about impact and the decision process on the next discovery call. That's the value of a score with reasons. ConnectLoop's Sales Training reports work the same way, with each framework step scored from 0 to 100 and a one-line reason for each score.

## Which scoring scale should you use?

Use a 1 to 5 scale for criteria where quality varies, such as discovery depth, and a yes/partly/no scale for criteria that either happened or didn't, such as booking a next step. Whatever you choose, describe what each score looks like, so two reviewers give the same call the same score.

| Scale | Best for | Watch out for |
| --- | --- | --- |
| Yes / no | Clear actions: agenda set, next step booked | Too blunt for skills like discovery |
| Yes / partly / no | Most criteria on a short scorecard | "Partly" needs a clear definition |
| 1 to 5 | Skills with a range of quality | Reviewers drift without written examples for each score |
| 0 to 100 | Overall scores and AI scoring | Hard to apply by hand for each criterion |

Written examples for each level are called behavioral anchors. For discovery depth, a 1 might be "asked only yes-or-no questions," a 3 might be "asked open questions but didn't follow up," and a 5 might be "followed up on every key answer and summarized the problem back to the buyer."

ConnectLoop scores practice sessions from 0 to 100 so reps can track small improvements over time.

## What is the difference between manual and AI call scoring?

Manual call scoring means a person reviews the call and fills in the scorecard. AI call scoring, often part of conversation intelligence software, uses the call transcript to rate each criterion automatically. Manual scoring brings judgment and context. AI scoring brings coverage and consistency. Most teams get the best results with a hybrid: AI scores every call, and managers review the ones that matter most.

| Method | How it works | Strengths | Limits |
| --- | --- | --- | --- |
| Manual scoring | A manager listens and scores | Context, judgment, nuance | Slow, covers few calls, reviewer bias |
| Peer review | Reps score each other's calls | Shared learning, team buy-in | Uneven quality without calibration |
| Self-scoring | Reps score their own calls | Builds self-coaching habits | Reps can be too easy or too hard on themselves |
| AI call scoring | AI reads the transcript and rates each criterion | Scores every call, consistent, fast | Needs clear criteria and spot checks |
| Hybrid | AI scores every call, a manager reviews a few | Coverage plus judgment | Needs a clear rule for which calls get a human review |

### Is AI call scoring accurate?

AI call scoring is accurate when the criteria are clear and tied to things said on the call, such as "asked who approves the purchase." It's less reliable for vague criteria like "built trust." Check accuracy by having a manager score a sample of the same calls and comparing results. Close agreement means the scorecard is clear.

This check is called calibration, and it applies to people too. If two managers give the same call very different scores, the scorecard needs clearer behavioral anchors. Inter-rater reliability, meaning how often reviewers agree, is the simplest test of a good scorecard. ConnectLoop gives a written reason with every AI score, so a manager can see why a step scored low and correct it if needed.

## Should you score every call or a sample?

Score every call if you use AI, and a focused sample if you score manually. Manual reviewers should pick calls with a purpose: new hires' early calls, late-stage deals, lost deals and calls that ran far over or under time. Random samples catch less, because most calls look average.

A practical rule for manual scoring:

- **New hires:** two or three scored calls a week for the first months, whether they're an SDR or an account executive.
- **Experienced reps:** one or two scored calls a week, focused on their weakest criterion.
- **Every rep:** each late-stage deal and each lost deal gets a review.

With AI scoring, you can look at trends instead of single calls. A rep whose objection handling score drops across a week of calls tells you more than one weak call. ConnectLoop's Customer Intelligence also helps managers pick which calls to review, by showing which customers have open action items or a deal sitting too long in one stage.

## How do you score a sales call while it's still happening?

You score a call while it's happening by tracking which framework steps have been covered in real time, so the rep can see a missed step and fix it before the call ends. Instead of finding out the next day that discovery skipped the decision process, the rep gets a reminder while the buyer is still on the line.

Live scoring changes the purpose of a scorecard. Post-call scoring tells you what went wrong. Live tracking helps the rep get it right.

ConnectLoop's Sales Assistance does this on Google Meet and Zoom, with no bot joining the meeting. As the call moves through your framework, it tracks which steps are covered and shows cue cards with suggested wording, a short "Why this?" reason, and branches for different buyer answers. It also tracks which script lines the rep actually used on the call, not just which ones appeared on screen.

When the call ends, the rep gets a report with framework coverage, skipped steps, action items, a coaching note and a follow-up email draft. A manager can open the report, see which steps were skipped, and coach from there. Learn more on the [Sales Assistance page](https://www.connectloop.ai/solutions/sales-assistance), or see how to write the lines themselves in our [sales call script](https://www.connectloop.ai/blog/sales-call-script) guide.

## How do you score practice calls before real ones?

Score practice calls the same way you score real calls: on the same framework, with the same criteria and a reason for each score. Practice in a roleplay with a manager or an AI buyer, review the score, fix one thing, and repeat. Reps who improve their score in practice bring better habits to real buyers.

Scoring practice has a big advantage: mistakes cost nothing. A rep can try a new way of asking about budget five times in a morning, with a score after each attempt, before using it on a real deal.

ConnectLoop's Sales Training gives every rep an AI buyer to practice with, on every plan. Reps choose one of four buyer personas, such as a skeptical small business owner or a price-focused comparison shopper, and set the difficulty to Easy, Medium or Hard. Each session is scored on SPIN Selling, MEDDICC or SPICED, with:

- An overall score out of 100.
- Each framework step scored from 0 to 100, with a reason.
- What went well and focus areas for next time.
- A written coach summary and the full transcript.

Practice history saves every session, so reps and managers can see scores improve over time. Because the frameworks match the ones reps use on live calls, coaching uses one language from practice to closed deal. Explore the [Sales Training page](https://www.connectloop.ai/solutions/sales-coaching), or find practice ideas in our [sales role-play](https://www.connectloop.ai/blog/sales-role-play) guide.

[Image: Sales call scoring before, during and after the call: practice scored in Sales Training, live framework tracking in Sales Assistance, a post-call report, and one coaching change]

*Score before, during and after the call*

## How do you turn call scores into coaching?

Turn call scores into coaching by picking one low-scoring criterion, finding the moment in the call where it happened, and agreeing on one specific change for the next call. Then check that criterion again on the next few calls. One focus at a time works better than a list of ten fixes.

Match each low score to one coaching action:

| Low score on | Coaching action |
| --- | --- |
| Opener and agenda | Write a two-sentence opener together and practice it three times |
| Discovery depth | Practice follow-up questions: "Tell me more," "What happens then?" |
| Pain and impact | Add one impact question to the call script: "What does that cost you each month?" |
| Objection handling | Run a practice session with a tough buyer persona focused on that objection |
| Decision process | Add a stakeholder question to the framework's cue cards |
| Next-step commitment | Practice proposing a specific day and time instead of "let me know" |

A simple coaching session using call scores:

1. **Start with what went well.** Name the highest-scoring criterion and why.
2. **Pick one focus.** Choose the lowest score that matters most for this rep's deals.
3. **Play the moment.** Read or listen to the exact part of the call together.
4. **Agree on the change.** Write the new question or line the rep will use.
5. **Practice it.** Role-play the moment once or twice.
6. **Check the next calls.** Look at the same criterion on the rep's next three calls.

ConnectLoop connects these steps: low scores show up in Sales Training reports and post-call coaching notes, the fix can be added as a cue card in Sales Assistance, and follow-up promises from calls become action items in [Customer Intelligence](https://www.connectloop.ai/solutions/customer-intelligence). For a full coaching process, read our guide to [sales call coaching](https://www.connectloop.ai/blog/sales-call-coaching).

## How do you get reps to accept call scoring?

Reps accept call scoring when it helps them win, not when it feels like surveillance. Show reps their own scores and reasons first, score the call rather than the person, focus on one skill at a time, and celebrate improvements. When scores lead to better calls and more closed deals, reps start asking for them.

Ways to build rep buy-in:

- **Involve reps in the scorecard.** Ask your best reps what a great call looks like, and use their answers.
- **Let reps self-score first.** Compare their score with the manager's or the AI's, and talk about the gaps.
- **Separate coaching from compensation.** Use call scores for development, not for pay or ranking.
- **Show the "why."** A score with a reason feels like feedback. A bare number feels like judgment.
- **Share wins.** Point out when a rep's improved score led to a booked meeting or a closed deal.
- **Give feedback quickly.** Feedback within a day or two of the call is far easier to use.

Call scoring isn't micromanagement when it's used to coach. It becomes micromanagement when managers score everything and coach nothing. ConnectLoop's practice scores help here too, because reps can improve privately before their real calls are reviewed.

## Which call scoring mistakes should you avoid?

The most common call scoring mistakes are using one scorecard for every call type, scoring without reasons, measuring activities instead of outcomes, never updating the criteria, and letting scores pile up without coaching. Each one makes call scoring feel like busywork, and reps stop paying attention to it.

- **One scorecard for every call.** A cold call and a demo need different criteria.
- **Too many criteria.** More than seven makes scoring slow and coaching unfocused.
- **Vague criteria.** "Good energy" can't be scored consistently. "Confirmed the next meeting date" can.
- **Scores without reasons.** A rep can't fix a 3 out of 5 without knowing why.
- **Never calibrating.** If reviewers don't agree, scores aren't fair.
- **Never refreshing.** Review your scorecard every quarter as your product and buyers change.
- **Scoring without practice.** A rep who sees the same low score every week needs a place to practice, not another score.
- **Ignoring context.** A short call that booked the right next step can be a great call.

At ConnectLoop, the fix for most of these is the same: tie each criterion to your framework, give every score a reason, and connect each low score to one practice session or script change.

## How do you know if call scoring is working?

Call scoring is working when scores on your coaching focus rise over time and the deals behind those calls move faster or close more often. Track average scores by criterion, framework coverage, ramp time for new hires, and win rate on deals where key criteria scored high.

Signs your call scoring program is working:

- **Criterion scores rise.** The skill you coached improves over the next few weeks of calls.
- **Framework coverage improves.** Fewer skipped steps on live calls.
- **New hires ramp faster.** They reach a target score sooner than earlier hires did.
- **Deals progress.** Calls that score high on decision process and next steps lead to more deals moving to the next stage.
- **Reps use the language.** Reps talk about their own calls using the scorecard's criteria.
- **Fewer stalled deals.** Fewer deals sit in one pipeline stage too long.
- **Rep performance evens out.** The gap between your top reps and the rest of the team gets smaller.

ConnectLoop helps with several of these at once: Sales Training practice history shows score trends, Sales Assistance reports show framework coverage, and Customer Intelligence flags deals that have stayed too long in one stage.

## Where does call scoring reach its limits?

A call score measures how well a conversation was run, not whether the buyer was a good fit. A perfect discovery call with the wrong prospect still won't close. Call scoring works best alongside good targeting and qualification, so your best-run calls happen with buyers who can actually buy.

This is good news for your team. When you pair call scoring with clear qualification, every improvement in call quality lands on deals that can close. That's why ConnectLoop connects the whole path: Lia qualifies inbound buyers and books the meeting, Sales Assistance guides the call, Sales Training sharpens skills between calls, and [Customer Persona](https://www.connectloop.ai/solutions/customer-persona) keeps a confirmed profile of each buyer from what they said.

## Key takeaways

- Sales call scoring rates a call against clear criteria, so coaching is based on facts instead of memory.
- Use one scorecard per call type, with five to seven weighted criteria and written examples for each score.
- Align your scorecard with your sales methodology, such as SPIN Selling, MEDDIC, BANT or SPICED.
- Every score needs a reason. The reason is what makes it coachable.
- Calculate scores out of 100 with weights, but coach one criterion at a time.
- AI scoring covers every call. Manual review adds judgment. A hybrid works best for most teams.
- Scoring during the call and scoring practice calls help reps improve before a real deal is at stake.
- ConnectLoop scores practice calls in Sales Training and tracks framework coverage live in Sales Assistance, on the same frameworks.

## Frequently asked questions

### What is sales call scoring?

Sales call scoring is rating a sales call against a set of criteria, such as discovery depth, objection handling and next-step commitment. It gives an overall score and a score for each criterion, so managers and reps can see what worked and what to improve on the next call.

### How do you calculate a sales call score?

Rate each criterion on your scale, divide by the top of the scale, and multiply by the criterion's weight. Add the results. If your weights total 100, the final number is a score out of 100. For example, a 3 out of 5 on a criterion weighted 25 gives 15 points.

### How many criteria should a call scorecard have?

Five to seven criteria work for most call types. Fewer than five can miss important skills. More than seven makes scoring slow and coaching unfocused. Keep only criteria you can check by pointing to a moment in the call.

### What is a good sales call score?

A good score depends on your scorecard, so compare scores within your team rather than against outside benchmarks. Use your best reps' average as a target, flag calls well below your team average for review, and focus on how each rep's weakest criterion changes over time.

### Should you score sales calls manually or with AI?

Use AI to score every call and manual review for the calls that matter most, such as late-stage deals and new hires' calls. AI gives consistency and coverage. A manager adds context and judgment. Calibrate both by scoring a few of the same calls and comparing results.

### How often should managers review scored calls?

Review a few scored calls per rep each week, more for new hires. With AI scoring, look at weekly trends by criterion instead of single calls. Give feedback within a day or two of the call, while the rep still remembers it.

### What is the difference between call scoring and lead scoring?

Call scoring measures how well your rep handled a conversation. Lead scoring measures how likely a prospect is to buy, based on fit and behavior. Call scoring improves your team's skills. Lead scoring helps your team decide which prospects to talk to first.

### Can you score practice calls?

Yes, and it's one of the fastest ways to improve. Score practice calls on the same framework as real calls. ConnectLoop's Sales Training scores practice sessions with an AI buyer from 0 to 100, with a reason for each framework step and focus areas for next time.