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Glossary

Glossary

Plain-English definitions of the GTM and AI terms that come up in this playbook, each with an example.

A

Account tiering

Sorting target accounts into groups by fit and potential so the best accounts get the most effort. Tier 1 gets deep research and tailored outreach, lower tiers get lighter touches.
Example. A rep with 300 accounts researches 30 Tier 1 accounts in depth and lets signals decide when to contact the rest.
Related:ICP (ideal customer profile)Signal-based selling

ACV (annual contract value)

The average yearly value of a customer contract, excluding one-off fees. It's the usual measure of deal size in subscription businesses.
Example. A three-year contract worth £150,000 in total has an ACV of £50,000.
Related:Sales velocity

Agentic workflow

A process where an AI agent completes several steps on its own, such as researching, deciding and drafting, using tools and data, with people reviewing the output at set points.
Example. An agent researches each new inbound lead, scores it against the ICP and drafts a reply for the rep to approve.
Related:Human in the loopEvalsGTM engineer

C

Champion

A person inside the buying organisation who has influence and actively sells your solution internally when you're not there. A friendly contact without influence isn't a champion.
Example. The champion books the meeting with the CFO and coaches the rep on what the CFO will ask.
Related:Economic buyerMultithreadingMEDDPICC

Cost of inaction

What the buyer loses by not solving the problem, measured in their own terms. It's often more persuasive than the benefits of buying.
Example. A buyer realises that every month without a fix delays a product launch worth a known amount of revenue.
Related:Mutual action plan

Coverage ratio

Open pipeline divided by the revenue target for the same period. It shows whether there's enough pipeline to hit the number, given your win rate.
Example. A rep with £300,000 of pipeline against a £100,000 quarterly target has 3x coverage.
Related:Win rateSales velocity

D

Data enrichment

Adding missing or updated information to account and contact records, such as company size, tech stack, job titles and contact details, from outside data sources.
Example. Before a campaign, a team enriches its list and finds a fifth of contacts have changed jobs.
Related:ICP (ideal customer profile)GTM engineer

E

Economic buyer

The person with the authority to approve the spend and say yes when others say no. Deals without access to them are at higher risk.
Example. Late in a deal, the rep learns that the VP they've been working with needs sign-off from the COO, who becomes the focus of the next meeting.
Related:ChampionMEDDPICC

Evals

Tests that check whether an AI system produces good outputs, run against a fixed set of examples. They show whether a prompt or model change made things better or worse.
Example. Before rolling out an AI research brief, a team checks it against 50 accounts it knows well and counts the factual errors.
Related:Agentic workflowHuman in the loop

G

GTM engineer

A role that builds the systems behind go-to-market, such as data pipelines, enrichment, scoring and automated workflows, often using AI and no-code tools. It sits between RevOps, sales and engineering.
Example. A GTM engineer builds a workflow that watches target accounts for hiring signals and sends reps a researched brief when one fires.
Related:Data enrichmentAgentic workflow

H

Human in the loop

Designing an AI workflow so a person reviews or approves the output at the points where mistakes are costly or trust is at stake.
Example. An agent drafts outreach for every Tier 1 account, but nothing sends until the rep edits and approves it.
Related:Agentic workflowEvals

I

ICP (ideal customer profile)

A description of the companies most likely to buy, succeed and stay, based on traits shared by your best customers. It guides who you target and who you don't.
Example. A team finds its best customers are logistics firms with 200 to 2,000 staff that recently moved to a cloud ERP, and writes that down as its ICP.
Related:Account tieringData enrichment

Intent data

Signals that suggest an account is researching a problem or product, such as content consumption, review site visits or search activity. It helps decide which accounts to contact now.
Example. An account starts reading comparison pages for tools in your category, so it moves up the rep's list this week.
Related:Signal-based sellingData enrichment

M

MEDDPICC

A qualification checklist for complex deals: Metrics, Economic buyer, Decision criteria, Decision process, Paper process, Identify pain, Champion and Competition. Each letter is a question the rep should answer with evidence.
Example. Before calling a deal commit, a manager asks the rep to show who the economic buyer is and what the paper process looks like.
Related:Economic buyerChampionMutual action plan

Multithreading

Building relationships with several people in the buying group, so a deal doesn't depend on a single contact. It lowers the risk of a deal stalling when someone leaves or goes quiet.
Example. A rep's main contact goes on leave, but the deal keeps moving because the rep already works with the finance lead and an end user.
Related:ChampionEconomic buyer

Mutual action plan

A shared, dated plan of every step both buyer and seller need to complete to reach a decision and go live. Both sides own it and update it together.
Example. A rep and a buyer list security review, legal, procurement and sign-off with owners and dates, working back from the buyer's go-live date.
Related:MEDDPICCChampion

S

Sales velocity

How much revenue your pipeline produces per day. It's calculated as opportunities × win rate × average deal size ÷ sales cycle length in days.
Example. A team has 50 open opportunities, a 25% win rate, a £20,000 average deal and a 60-day cycle, so its velocity is about £4,200 a day.
Related:Win rateStage conversionCoverage ratio

Signal-based selling

Prioritising and timing outreach based on events that suggest an account may buy, such as a new leader, funding, hiring or a stated initiative. The signal also shapes what the message says.
Example. A new VP of Sales joins a target account, so the rep reaches out about the first 90 days in the role.
Related:Intent dataAccount tiering

Stage conversion

The share of opportunities that move from one pipeline stage to the next. Low conversion at one stage shows where deals get stuck.
Example. Of 40 deals that reached the demo stage last quarter, 16 moved to proposal, a 40% conversion rate.
Related:Win rateSales velocity

W

Win rate

The share of opportunities that close as won, out of all opportunities that closed in a period. Measure it from a fixed stage so it's comparable over time.
Example. A team closes 30 deals in a quarter and wins 9, a 30% win rate.
Related:Stage conversionCoverage ratio

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