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Sales glossary

Sixty-plus sales terms, defined plainly.

A working glossary for owners, founders, and sales leaders. Every entry has a definition you can use in a real conversation, a worked example that grounds it, and links to the deeper guides where the term lives in context. We update this page quarterly.

Jump to a category

Methodology 12 terms →
Qualification 7 terms →
Pipeline mechanics 10 terms →
Sales operations 8 terms →
Compensation 8 terms →
Roles 10 terms →
AI for sales 5 terms →
Revenue and retention 6 terms →
Category 1

Sales methodology

A methodology is a named, repeatable system for how a sales conversation should go. Distinct from a sales process, which is the stage-by-stage path a deal moves through. Most teams need both. The methodology lives inside each stage of the process.

Sales methodology

Also called: sales philosophy, sales system

A named, structured approach to how individual sales conversations should be conducted. Methodologies define question patterns, qualification frameworks, the order of buyer engagement, and the seller's posture. A methodology is portable across deals and reps. A sales process, by contrast, is the stage map of a single deal from first touch to closed-won.

Example. Sandler, Challenger, MEDDIC, SPICED, SPIN, and Solution Selling are all methodologies. CRM stages like Prospecting, Discovery, Proposal, Negotiation are process.

Sandler Selling System

Founded 1967, David H. Sandler. Reinforcement-based.

A behavioral sales methodology built on continuous reinforcement rather than one-shot training. Two foundational frameworks. The Behavior-Attitude-Technique (BAT) triangle states that all three dimensions need development for sustained performance change. The Sandler Submarine is a seven-stage selling process anchored by up-front contracts and explicit pain qualification.

Example. A Sandler-trained rep begins every meeting with an explicit up-front contract: agreed agenda, agreed time, agreed outcomes, and the explicit option for either party to end the conversation if it is not a fit.

Challenger Sale

Coined 2011. Insight-led, teaching-based selling.

A methodology based on the finding that the most successful sellers in complex B2B sales are not relationship-builders but "challengers" who teach the buyer something new about their business, tailor the conversation to specific stakeholders, and take control of the sale. Particularly suited to enterprise sales where the buyer faces consensus-driven decisions and benefits from a reframe.

Example. A Challenger seller opens not with discovery questions but with a commercial insight: "Most heads of finance in your sector are spending 14 percent of their workweek on reconciliation work that is now automatable. Is that true for you?"

MEDDIC

Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion.

An enterprise qualification framework, often described as a methodology, that scores every deal against six dimensions. Originated at PTC in the 1990s. MEDDIC's strength is that it forces the seller to write down a specific answer for every dimension. A deal where any field is blank or vague is not yet qualified.

Example. A MEDDIC-trained AE updates every deal in CRM with: M = "Reduce monthly reconciliation hours by 60 percent." E = "Sarah Chen, CFO." D = "ROI under 8 months, native Salesforce integration." Etc.

MEDDPICC

MEDDIC plus Paper Process and Competition.

An extension of MEDDIC that adds two dimensions critical to complex enterprise sales. Paper Process means the procurement, legal, and compliance steps from verbal agreement to signed contract. Competition means a named, written analysis of the alternatives the buyer is considering and how the seller's offer compares. MEDDPICC is now more common than the original MEDDIC in modern SaaS enterprise sales.

Example. A MEDDPICC field for Paper Process: "Vendor security review takes 4-6 weeks, master agreement template requires CFO and General Counsel sign-off, last comparable deal closed in 38 days post-verbal."

SPICED

Situation, Pain, Impact, Critical Event, Decision. Winning by Design.

A modern SaaS-native qualification methodology developed by Winning by Design. SPICED is built around the bowtie revenue model and emphasizes the critical event (a dated business deadline that forces a decision) as the engine of urgency. Lighter and more flexible than MEDDPICC, more rigorous than BANT.

Example. Critical event field on a deal: "Series B board meeting on May 14. CEO has committed to launching new revenue motion before the meeting. If the contract is not signed by April 15, the launch slips."

SPIN Selling

Situation, Problem, Implication, Need-payoff. Neil Rackham, 1988.

The foundational consultative selling methodology. SPIN is a question pattern that moves the buyer from describing their situation, to acknowledging a problem, to recognizing the broader implications of that problem, and finally to seeing the payoff of solving it. SPIN does not feel modern but its question architecture underpins almost every consultative methodology that followed.

Example. Problem question: "How often does the reconciliation issue cause a delayed close?" Implication: "What happens to the team when close gets delayed?" Need-payoff: "If reconciliation took zero hours, what would the close calendar look like?"

Solution Selling

Mike Bosworth, 1990s. Pain-led consultative methodology.

A methodology that frames the seller as a diagnostician who first surfaces the buyer's pain, then prescribes a tailored solution. Heavily influential in the 2000s, somewhat displaced by Challenger and MEDDIC in the modern SaaS era. Still strong in industries where the seller has genuine technical expertise the buyer lacks.

Example. Solution Selling reps typically use a "9-block vision processing model" that moves from acknowledged pain to envisioned solution before any product discussion.

Value Selling

Quantified-outcome methodology. ValueSelling Associates.

A methodology that emphasizes quantified buyer outcomes over feature discussions. The seller works with the buyer to build a written, dollar-denominated case for change before any proposal is delivered. Particularly suited to mid-market and enterprise deals where the buyer needs to justify the investment internally.

Example. A Value Selling worksheet might compute: current cost of manual reconciliation = $180,000 per year, projected cost after implementation = $45,000, three-year value = $405,000, payback = under 11 months at $120,000 implementation cost.

Consultative selling

The umbrella term for any methodology where the seller's primary mode is diagnosis rather than persuasion. Consultative sellers ask more than they tell, prioritize understanding the buyer's context over pitching the product, and qualify out of unfit deals rather than push through them. Almost every modern enterprise methodology is consultative in posture.

Example. A consultative discovery call has the seller speaking under 30 percent of the time. A product-led demo, by contrast, has the seller speaking 70 percent of the time. Different modes, different stages of the deal.

Question-Based Selling

Thomas Freese, 1990s. Question-architecture methodology.

A consultative methodology focused on the technical craft of asking questions that surface buyer information without triggering defensiveness. Distinguishes between status questions (low value), issue questions (medium value), and implication questions (high value), and prescribes a sequence for moving through them.

Example. Question-Based Selling teaches the "diagnostic question" pattern. Bad: "Do you have a budget for this?" Good: "How are decisions of this size typically funded at your company?" The second produces information, the first produces a defensive reaction.

Sales process

The stage-by-stage path a deal travels from first touch to closed-won. Distinct from sales methodology. A sales process is captured in CRM stages (Prospecting, Qualifying, Demo, Proposal, Negotiation, Closed-Won). A methodology lives inside each of those stages and dictates how the conversation in that stage should go. A team needs both. Most teams under-invest in process discipline, which is why their forecast misses.

Example. Process: "Deal moves from Demo to Proposal stage when the buyer's economic buyer has been engaged on a call." Methodology: "In the Demo stage, the seller follows the Challenger pattern of insight-tailor-take-control."
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Category 2

Qualification frameworks

Qualification is the seller's job of deciding which deals are worth working and which are not. A qualification framework is the structured set of questions or fields used to make that decision consistently across the team.

BANT

Budget, Authority, Need, Timeline. IBM, 1960s.

The original qualification framework. BANT asks four questions about every deal. Does the buyer have a budget. Do they have the authority to commit. Do they have a clear need. Do they have a timeline. Despite being simple and old, BANT is still used as a baseline check across many B2B sales teams, especially in SMB selling. Its weakness is that it puts budget first, which often distorts the conversation.

Example. Modern BANT is often reordered to NABT (Need, Authority, Budget, Timeline) so that the conversation starts with the buyer's problem rather than their wallet.

CHAMP

Challenges, Authority, Money, Prioritization.

A modern reframe of BANT that leads with the buyer's challenges rather than their budget. The Prioritization dimension adds a useful pressure check: even if challenges, authority, and money are present, does this rank highly enough in the buyer's stack to actually get acted on this quarter.

Example. A CHAMP-trained rep asks "Where does this fit in the top three priorities your team is working on?" before any pricing conversation. Prioritization-low deals are flagged for nurture, not pursuit.

ANUM

Authority, Need, Urgency, Money.

A BANT variant that promotes authority to first position. The reasoning is that a deal can have a clear need, a budget, and a timeline, but if the seller is talking to someone without decision authority, none of it matters. ANUM is particularly common in transactional and mid-market B2B sales where buying-committee complexity is moderate.

Example. An ANUM-disciplined rep insists on a meeting with the actual decision-maker before sending a proposal, even if the early conversations were with a champion who lacks authority.

GPCT

Goals, Plans, Challenges, Timeline. HubSpot inbound methodology.

HubSpot's qualification framework, designed for inbound-led, modern SaaS sales. Leads with the buyer's goals (what are they trying to achieve), then their plans (what are they doing about it today), challenges (what is in the way), and timeline (when does this need to happen). Particularly natural in conversations with marketers and operators who are already articulate about their objectives.

Example. GPCT discovery question: "What's your team trying to accomplish in the next six months that you don't think you can hit with your current approach?"

Pain (Sandler usage)

In Sandler usage, "pain" is the specific, quantifiable business consequence the buyer experiences from the problem you might solve. Sandler reps are trained to surface pain explicitly, ladder it to its financial and personal consequences, and disqualify deals where the pain is too small or too vague to drive action. Outside Sandler, "pain" is used loosely to mean any buyer problem, with much less rigor.

Example. Sandler pain ladder: surface pain ("reconciliation takes too long") to business pain ("we close the books five days late every month") to personal pain ("the CFO told me last week if we miss close one more time it is a problem for my role").

Critical event

A specific, dated business deadline that forces a decision. The most powerful qualifier in modern SaaS sales because it converts "we're interested" into "we have to decide by X." Without a critical event, even good-fit deals drift indefinitely. Surfacing the critical event is often the single highest-leverage discovery move.

Example. Critical event for a SaaS deal: "Our current vendor contract expires September 30. The board meeting that approves new vendors is September 22. We have to be in market by July 15 to give procurement time."

Champion (sales usage)

An internal advocate inside the buyer's organization who actively works the deal forward when the seller is not in the room. A champion has access to the economic buyer, has skin in the outcome, and is willing to sell internally on the seller's behalf. The single strongest predictor of a closed-won deal in complex B2B sales. Most lost deals lose because the seller had a coach (someone friendly) rather than a champion (someone empowered).

Example. Champion test: ask the contact "Are you willing to send a calendar invite for the next meeting to your CFO with us copied?" A real champion does it. A coach finds a reason not to.
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Category 3

Pipeline mechanics

The math that decides whether a sales team hits its number. Most sales misses are pipeline misses in disguise. Knowing how to read and act on these numbers separates the team that hits the quarter from the team that hopes.

Pipeline

The collection of open opportunities a team is working at any given time. Pipeline is usually expressed as a dollar value (sum of all open-deal values) and as a count (number of open opportunities). A healthy pipeline has volume, freshness (new opps coming in each week), and balance across stages.

Example. A team with a $1M quarterly quota and a 25 percent win rate needs roughly $4M of qualified pipeline at the start of the quarter to hit the number. That is the 4x coverage ratio rule of thumb.

Win rate

The percentage of qualified opportunities that close as won. Calculated as Closed-Won / (Closed-Won + Closed-Lost). The single most diagnostic metric for sales team health. A win rate decline of more than 15 percent quarter-over-quarter usually points to a discovery, pricing, or competitive problem, not an activity problem.

Example. Team A wins 28 of 100 deals worked, win rate 28 percent. Team B wins 22 of 60 deals worked, win rate 37 percent. Team B is more efficient even though Team A closed more revenue, and Team A's process needs investigation.

Average deal size (ADS)

Also: ACV (annual contract value) in SaaS.

The average dollar value of a closed-won deal over a defined period. ADS drift is one of the four shapes of a missed quarter. A team that maintains its volume and win rate but watches ADS slip is usually responding to internal pressure to discount or to a shift in buyer mix toward smaller customers.

Example. ADS Q1 = $42k, ADS Q2 = $36k. If volume and win rate held flat, that 14 percent ADS slide alone could explain a missed quarter.

Sales velocity

Number of deals × ADS × win rate / sales cycle length.

A composite metric that captures how quickly a sales team converts pipeline into revenue. Velocity rises when any of its four inputs improves. Velocity declines when any of them drifts. Useful as a board-level metric because it abstracts away from any single lever.

Example. 80 open deals × $50k ADS × 25 percent win rate / 75-day sales cycle = $13,333 per day of expected revenue creation.

Pipeline coverage ratio

The ratio of open qualified pipeline to remaining quota gap. Industry rule of thumb is 3x to 4x coverage at the start of a quarter. Below 2.5x means the math does not support a hit even with strong execution. Above 5x usually means stale pipeline that has not been honestly purged.

Example. Team has $600k of quota to close in the rest of the quarter, and $1.4M of qualified open pipeline. Coverage = 2.3x. Below the floor, recovery is unlikely without new pipeline or accelerated closes.

Stage conversion rate

The percentage of deals that progress from one stage to the next. Stage conversion rates compound across the funnel and explain win rate. The team's biggest leverage point is usually the stage with the steepest drop, not the latest stage in the funnel.

Example. Discovery to Demo = 60 percent. Demo to Proposal = 30 percent. Proposal to Won = 50 percent. The Demo-to-Proposal stage is the bottleneck. Coaching on Demo quality has more leverage than coaching on closing.

Time in stage

The number of days a deal sits in a single CRM stage before progressing. Spike in time-in-stage is one of the earliest leading indicators of a quarter that is about to miss, particularly when concentrated in the Proposal stage.

Example. Median time in Proposal stage = 21 days historically. This quarter it is 34 days. That 62 percent slide is the velocity problem the team should investigate before week 7.

Forecast accuracy

The percentage by which the actual quarterly result lands close to the forecasted number. Most healthy sales teams forecast within 5 to 10 percent of actual. Forecast accuracy below 75 percent is usually a rep-discipline or qualification problem, not a market problem.

Example. Forecast = $2.4M. Actual = $2.1M. Forecast accuracy = 87.5 percent. Acceptable. Forecast = $2.4M, actual = $1.6M. Forecast accuracy = 66.7 percent. Not acceptable, structural fix needed.

Commit / Best Case / Pipeline

The three-tier categorization of open deals used in modern forecasting. Commit deals are those the rep will personally guarantee close in the period. Best Case deals are those that could close with strong execution but are not guaranteed. Pipeline deals are everything else still alive. The split is the basis for forecast roll-ups and pipeline-coverage analysis.

Example. Manager-level rule of thumb. Commit = 95 percent honest probability. Best Case = 60-80 percent. Pipeline = under 40 percent. Use those probabilities in coverage math, never the rep's gut.

Closed-won and closed-lost

The two terminal states of a sales opportunity. Closed-won = the buyer purchased. Closed-lost = the buyer chose not to purchase, or chose a competitor, or the deal was disqualified by the seller. A healthy CRM hygiene practice is to record a closed-lost reason for every loss and review them quarterly. The pattern of loss reasons is often where the biggest improvement opportunities hide.

Example. Closed-lost reasons rolled up quarterly. 28 percent No Budget. 22 percent Lost to Competitor X. 18 percent No Decision. The 22 percent block points at a competitive-positioning problem worth investing in.
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Category 4

Sales operations

The infrastructure layer behind the selling team. Tools, data, processes, and analytics that let the front line operate at full capacity.

Sales operations (Sales Ops, RevOps)

The function that owns the systems, data, and processes the sales team uses. Sales Ops responsibilities typically include CRM administration, forecast modeling, territory planning, comp plan administration, and reporting. In modern SaaS organizations Sales Ops has been merged with Marketing Ops and Customer Success Ops into Revenue Operations (RevOps).

Example. A 30-person sales team usually needs a dedicated Sales Ops function once headcount crosses ~15. Before that the founder or VP Sales can carry it.

CRM (Customer Relationship Management)

The system of record for sales activity. Tracks contacts, accounts, opportunities, activities, forecast, and pipeline. Salesforce, HubSpot, Pipedrive, Close, and Zoho are the most common SMB and mid-market choices. A CRM is only as good as the discipline of the people using it. The single largest cause of bad sales data is reps not updating the CRM in real time.

Example. CRM hygiene rule of thumb. Every deal updates within 48 hours of the most recent activity. Every closed deal has a recorded loss reason. Every pipeline deal has a defined next step.

Sales enablement

The function that equips sellers to sell. Includes onboarding, ongoing training, content libraries (case studies, battlecards, talk tracks), and learning systems. Larger orgs have dedicated Sales Enablement teams. SMBs typically have one designated enablement lead who builds and maintains the central library.

Example. A sales enablement library at a 30-person team. Battlecards for top 5 competitors. Talk tracks for the 3 most common objections. ROI calculator. 8 industry-specific case studies. Onboarding playbook.

Conversation intelligence

A category of software that records, transcribes, and analyzes sales conversations to surface patterns, coach reps, and feed insights back to the team. Gong, Chorus, Salesloft, Avoma, Wingman are the major vendors. The leading-indicator value (real-time signal on what is being said in deals) usually outweighs the after-the-fact coaching value.

Example. Conversation intelligence often reveals that the team's "qualified" deals show 30 percent fewer competitor mentions than lost deals. A useful disqualification signal.

Sales engagement platform

A category of software that automates and orchestrates outbound activity: email sequences, dialer integration, LinkedIn engagement, task routing. Outreach, Salesloft, and Apollo are the leading vendors. Used heavily by SDR teams and increasingly by AEs who run their own outbound motion.

Example. A typical SDR sequence in Outreach. Day 1 email, Day 2 LinkedIn connect, Day 4 phone, Day 6 email reply, Day 9 phone, Day 12 break-up email. The platform enforces the cadence and surfaces who replied.

Lead scoring

The practice of assigning a numerical score to inbound leads based on fit (firmographic match to the ICP) and intent (engagement signals like website visits, content downloads, demo requests). High-scoring leads route to AEs for immediate engagement, low-scoring leads route to marketing nurture.

Example. A simple lead score: company size in ICP = +20, industry in ICP = +15, demo request = +30, three website visits in 14 days = +10, free-email domain = -25. Total above 50 routes to sales.

Territory planning

The process of dividing the addressable market into reps' assigned books of business. Done badly, territory planning creates over-saturated patches and starved patches. Done well, it sets every rep up with the same shot at quota and minimizes intra-team conflicts.

Example. A four-rep territory split for an SMB account base might be vertical-based (manufacturing, services, healthcare, technology) or geographic (East, Central, West, International). Avoid named-account splits at SMB scale because they create ongoing reassignment disputes.

Quota capacity

The total quota a sales team can productively carry, given headcount, ramp status, and territory quality. The most-missed metric in early-stage SMB planning is that new reps in ramp produce 30 to 60 percent of full-quota capacity for the first two quarters. Plan capacity off ramped reps only, not total headcount.

Example. Team has 6 reps, 4 ramped and 2 in month-2 ramp. Full quota = $250k/rep/quarter. Ramped capacity = 4 × $250k + 2 × $100k = $1.2M, not $1.5M. The board forecast should use $1.2M.
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Category 5

Compensation design

How sellers get paid. Comp design quietly drives almost every behavior on the sales floor. Wrong comp produces wrong behavior, and no amount of coaching fixes it.

OTE (On-Target Earnings)

The total annual compensation a seller earns when they hit 100 percent of quota. OTE is the sum of base salary plus variable (commission) at plan. Used as the headline number when recruiting and benchmarking. A seller earning $90k base plus $90k variable at quota has an OTE of $180k.

Example. SDR OTE typically $70k to $90k (60/40 split). AE OTE typically $150k to $250k (50/50 split). Enterprise AE OTE often $250k to $400k+ with higher base, lower variable.

Base / variable split

The ratio of fixed salary to commission inside a seller's OTE. Different roles imply different splits. Higher base for roles where the seller has less direct control over outcomes (Customer Success, Account Management). Lower base, higher variable for roles where the seller drives outcomes directly (transactional AE).

Example. Rule of thumb splits. SDR 60/40 (sixty percent base, forty percent variable). New-logo AE 50/50. Enterprise AE 60/40. Customer Success Manager 80/20. Account Manager 70/30.

Accelerator

A commission rate that increases above 100 percent of quota attainment. Designed to reward over-performance and create a stretch motivation. A typical accelerator structure pays the base commission rate from 0 to 100 percent of quota, then a 1.5x or 2x rate from 100 to 150 percent, and sometimes a 3x rate above that.

Example. Base rate 10 percent. Accelerator at 100 percent quota: 15 percent. At 150 percent: 20 percent. A rep at 130 percent of quota earns base rate on first 100 percent of attainment plus accelerated rate on the next 30 percent.

Decelerator

A commission rate that decreases below a defined floor of quota attainment. Less common than accelerators. Used to deter low performance from rolling on indefinitely. A typical structure pays full commission rate above 50 percent attainment and a halved rate below. Almost never used at SMB scale because it tends to demoralize struggling reps faster than it motivates them.

Example. Standard rate 10 percent above 50 percent attainment. Decelerated rate 5 percent below 50 percent. A rep at 30 percent of quota who closes a $50k deal earns $2,500 commission instead of $5,000.

SPIFF (Sales Performance Incentive Fund)

A short-term bonus on top of standard commission, designed to focus seller behavior on a specific outcome. Common SPIFFs include $500 per closed deal in a specific product line, $1,000 for any deal closed in the last week of the quarter, or a trip incentive for the top 3 finishers. SPIFFs work for a few weeks. They lose effectiveness fast if used continuously.

Example. Quarter-end SPIFF. $1,000 bonus per closed deal in the last 10 days of the quarter. Worked once. Used every quarter, reps started withholding deals from the first 80 days to bank them for the SPIFF window.

Clawback (chargeback)

A clause that requires a seller to repay commission on a deal if the customer cancels, refunds, or fails to pay within a defined window (often 90 or 180 days). Standard in modern SaaS where customer churn matters as much as initial sale. Almost never used in transactional or services sales.

Example. Clawback clause. Commission earned on a 12-month subscription is subject to clawback if the customer cancels within 90 days. The amount clawed back is prorated against the remaining contract value.

Draw (recoverable, non-recoverable)

A guaranteed payment to a seller during ramp, before they have generated enough commission to earn out. Recoverable draws have to be paid back from future commissions. Non-recoverable draws do not. Most SMB ramp plans use non-recoverable draws for the first 2 to 4 months, then transition to full variable comp.

Example. A new AE starts. Months 1-2 non-recoverable draw of $5,000/month on top of base. Month 3 onward, full variable comp activates. The draw closes the ramp-to-productivity gap without putting the seller in a hole.

Ramp

The period between a seller's start date and full quota productivity. SDR ramp is typically 60 to 90 days. AE ramp is typically 90 to 180 days. Enterprise AE ramp can be 6 to 12 months. Plans that assume new hires hit 100 percent of quota in their first quarter are almost always wrong, and the resulting comp design demoralizes good sellers in their first 6 months.

Example. AE ramped quota by month. Month 1-2 = 0 percent. Month 3 = 25 percent. Month 4 = 50 percent. Month 5 = 75 percent. Month 6 onward = 100 percent. Ramped quota credit in the plan keeps the seller from being penalized for biology.
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Category 6

Roles

Who does what on a modern sales team. Roles vary by company stage and complexity. The titles are not standardized across the industry, but the functions are reasonably consistent.

SDR / BDR (Sales Development Representative / Business Development Representative)

The seller responsible for generating qualified meetings for AEs, typically via outbound prospecting (email, LinkedIn, phone) or inbound lead qualification. SDR and BDR are usually interchangeable. Some teams reserve SDR for inbound qualification and BDR for outbound prospecting. The first sales hire at most modern SMBs is an SDR rather than an AE.

Example. SDR typical day. 60 to 80 outbound emails sent, 15 to 30 cold calls placed, 3 to 5 qualified meetings booked. Quota usually expressed as qualified meetings per month, not revenue.

AE (Account Executive)

The seller responsible for taking a qualified opportunity from first meeting to closed-won. AEs typically own discovery, demo, proposal, negotiation, and close. They do not typically own renewal (Customer Success Manager) or post-sale expansion (Account Manager) in modern SaaS organizations.

Example. AE OTE varies by ICP. SMB AE working sub-$10k deals: $120k OTE. Mid-market AE working $25k-$100k deals: $180k OTE. Enterprise AE working six- and seven-figure deals: $280k+ OTE.

AM (Account Manager)

The seller responsible for growing revenue inside an existing customer. AMs own renewal, expansion, and upsell. In some organizations AMs are merged with Customer Success (one role handles success plus expansion). In others they are split (CSM owns success metrics, AM owns expansion revenue).

Example. AM quota is usually a Net Revenue Retention target plus an expansion-revenue target. A target NRR of 115 percent plus $400k in new expansion revenue across the assigned book.

CSM (Customer Success Manager)

The non-sales role responsible for customer outcomes after the deal closes. CSMs own onboarding, adoption, value realization, and renewal readiness. Where they sit (Sales org, Customer Success org, Operations) varies by company. The role's compensation is typically lighter on variable than sales roles.

Example. CSM OTE often $90k-$150k with 80/20 split. Variable component tied to NRR, logo retention, or a Customer Health Score composite metric.

SE (Sales Engineer)

The pre-sale technical specialist who supports AEs on complex deals. SEs typically run technical demos, scope implementations, respond to RFPs, and validate fit. In modern SaaS, SE coverage often runs at one SE per two or three AEs in mid-market, and one SE per one AE in enterprise.

Example. SE owns the technical-win moment. The AE owns the commercial-win moment. The deal is won when both happen on the same call.

Sales manager

The frontline leader of a team of AEs (or SDRs). Sales managers run pipeline reviews, coach reps on specific deals, hire and onboard new sellers, and roll up the forecast. The typical ratio is one sales manager to 5 to 8 AEs. Beyond 10 reports the manager is no longer coaching, just managing logistics.

Example. Sales manager weekly cadence. 1:1 with every direct report (30 minutes each). Team pipeline call (60 minutes). Forecast roll-up to VP (30 minutes). Three to five deal-specific ride-alongs.

VP of Sales

The senior leader who owns the sales team's number. VPs of Sales typically lead 10 to 50 sellers across multiple sales managers, set the strategy and quota plan, hire and develop managers, and report to the CEO or CRO. Many SMBs over-hire the VP role too early. The right first leadership hire at SMB scale is often a strong sales manager, not a VP.

Example. SMB threshold for hiring a VP of Sales is usually $5M to $10M in ARR and 8+ sales reps. Below that, a player-coach sales manager covers most of what a VP would do, at half the comp.

CRO (Chief Revenue Officer)

The executive who owns the full revenue motion. Marketing, sales, customer success, and revenue operations report into the CRO in modern SaaS organizations. The CRO role typically emerges past $20M ARR, when the company has enough complexity across marketing, sales, and post-sale that one C-level owner is needed across the whole revenue lifecycle.

Example. A CRO at a $50M ARR SaaS company leads marketing (demand gen, brand, content), sales (SDRs, AEs, managers), customer success (CSMs), and RevOps. Reports to the CEO. Owns the company's growth number.

Fractional VP of Sales

A senior sales leader engaged part-time, typically 1 to 3 days per week, on a fixed-duration contract (often 6 to 12 months). Used by SMBs that need leadership thinking and process design but cannot justify a full-time VP cost. The best fractional VPs combine operator credibility (have actually built a sales team before) with a definite scope (a 90-day operating cadence to install, not an open-ended consulting engagement).

Example. A fractional VP at $8k to $15k per month for 6 months installs the forecast cadence, comp plan, hiring scorecard, and pipeline review rhythm. Then the company hires a full-time sales manager who inherits the system.

IC (Individual Contributor)

A seller (SDR, AE, AM, CSM) who carries an individual quota and does not manage other sellers. Used in contrast to managers and leaders. The IC track is a legitimate long-term career path, particularly in enterprise selling where the best ICs out-earn middle managers.

Example. Career path. SDR (IC) becomes AE (IC) becomes Senior AE / Enterprise AE (IC) becomes Strategic AE (IC). Parallel management track. SDR becomes SDR Manager becomes Sales Manager becomes VP of Sales.
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Category 7

AI for sales

The 2024-2026 wave of AI-native tooling for sales teams. Some of it is real and durable. Some of it is wrapper software that will be commoditized inside 18 months. Useful to know which is which.

AI copilot for sellers

A category of software that sits alongside the seller during meetings and outbound work, providing real-time suggestions (next question to ask, objection handling, language recommendations) and automatic note-taking. Major vendors include Gong, Chorus (Zoominfo), Avoma, Wingman. The durable value is mostly post-meeting (transcript, action items, coaching) rather than in-meeting (suggestions).

Example. An AI copilot detects that the buyer used the phrase "we are evaluating two other vendors" and prompts the seller post-call to add Competition fields in MEDDPICC.

AI lead generation

Software that uses LLMs and intent-data signals to identify and engage high-fit prospects at scale. Apollo, Clay, 11x, Regie, and Lavender are common vendors. The category is rapidly evolving. The most credible use case is augmenting an SDR team, not replacing it. The "AI SDR" replacement claim is mostly marketing.

Example. Clay workflow. Pull a list of 1,000 ICP-fit accounts. Enrich with funding, hiring, and tech-stack signals. Identify accounts that hired a head of revenue in the last 90 days. Generate personalized outbound emails referencing the hire. SDR sends and follows up.

Sales forecasting AI

Software that applies machine learning to historical pipeline data and current deal signals to produce a probability-weighted forecast. Clari, BoostUp, Aviso are the major vendors. Useful at scale (50+ sellers, complex deal flow). At SMB scale, the data set is too small for the model to outperform a disciplined manual forecast.

Example. Forecast AI looks at the current quarter's pipeline, compares to historical patterns, and predicts the team will land at $4.2M against a $4.8M plan. The signal value is the variance flag, not the precise number.

Personalization at scale

The practice of using AI to generate per-prospect personalization (referencing recent posts, news, hires, podcast appearances) inside outbound at SDR scale. Done well, raises reply rates. Done badly, produces uncanny-valley emails that read worse than honest cold templates. The skill is in choosing which signals to use and how to write the prompt, not in adopting a particular tool.

Example. Good personalization: "Saw your team just shipped the multi-tenant feature on May 1. Curious how the new pricing tier is landing with your existing customers." Bad personalization: "I noticed you went to State University. Go Tigers!"

Agentic sales (AI agents in sales)

The emerging category of autonomous AI workflows that handle multi-step sales tasks without human intervention. Examples include scheduling meetings, qualifying inbound leads, drafting and sending follow-ups, updating CRM. Real but early. Best used today for the lowest-judgment, highest-volume work (scheduling, data entry, basic qualification). Higher-judgment work (discovery, negotiation) remains human-led.

Example. Agentic workflow for inbound demo requests. Lead arrives. Agent enriches firmographic data. Agent scores the lead. If high-score, agent books a meeting on the AE's calendar and sends a personalized confirmation. AE walks into a pre-qualified call.
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Category 8

Revenue and retention

The metrics modern SaaS boards watch most closely. Equally relevant to subscription B2B services businesses.

ARR / MRR (Annual / Monthly Recurring Revenue)

The annualized (or monthly) value of all active subscription contracts. ARR is the dominant top-line metric in modern SaaS. The growth rate of ARR is more closely watched than absolute revenue, because it captures the velocity of the business net of any one-time fluctuations.

Example. A company with 60 customers averaging $25k/year has $1.5M in ARR. If next quarter they add 12 customers at $30k and lose 3 at $20k, ARR moves to $1.5M + $360k - $60k = $1.8M.

NRR (Net Revenue Retention)

The percentage of revenue retained from existing customers over a defined period, including expansion (upsells, cross-sells) and shrink (downsells, churn). NRR above 100 percent means the customer base grows even without any new logos. NRR above 120 percent is considered best-in-class in modern SaaS.

Example. Start of quarter ARR from existing customers = $5M. End of quarter ARR from the same cohort = $5.4M (after $600k expansion, $200k churn). NRR = $5.4M / $5M = 108 percent.

GRR (Gross Revenue Retention)

NRR minus the expansion contribution. GRR isolates the rate at which existing customers churn or downsell. A useful diagnostic when paired with NRR. A team can post 115 percent NRR with 85 percent GRR (expansion masking churn) or 105 percent NRR with 100 percent GRR (almost no churn, modest expansion). The second is structurally healthier.

Example. Cohort ARR start = $5M. Expansion within the cohort = $600k. Downsell + churn = $400k. GRR = ($5M - $400k) / $5M = 92 percent. NRR = ($5M + $600k - $400k) / $5M = 104 percent.

Logo retention

The percentage of customers retained over a defined period, regardless of ARR change. A customer who downgrades from $50k to $20k still counts as retained for logo retention. Useful when reported alongside GRR because the two together describe the shape of churn (losing small accounts wholesale vs. retaining the logos but shrinking their spend).

Example. Started Q1 with 100 customers. Ended Q1 with 96 customers from the original cohort. Logo retention = 96 percent.

Expansion revenue

Revenue generated from existing customers via upsells (more of the same product), cross-sells (other products), and seat expansions (more users). The most efficient revenue any sales team can generate because the customer is already onboarded, the trust is established, and the deal cycle is short. Often overlooked at SMB scale where the founder is still preoccupied with new-logo acquisition.

Example. A founder-led B2B services business with 40 active customers and an annual contract average of $25k can usually generate $150k to $300k of expansion revenue per quarter just by structuring quarterly expansion conversations.

CAC payback period

The number of months it takes to recover the cost of acquiring a customer from the gross margin that customer generates. Calculated as CAC / (ARR × gross margin) × 12 months. Modern SaaS benchmarks are 12 to 18 months for healthy businesses, under 12 for best-in-class, over 24 for capital-inefficient growth.

Example. CAC per customer = $24,000. ARR per customer = $36,000. Gross margin = 75 percent. Payback = $24,000 / ($36,000 × 0.75) × 12 = 11 months.
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Spotted a definition that needs updating? Email editorial@bestsalesteamtraining.com. We update this page quarterly.

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