B2B Marketing & ABM Glossary

Account-Based Marketing (ABM)

Also: account-based marketing, ABM marketing

Account-based marketing is a B2B strategy where sales and marketing jointly target a defined list of high-value accounts, rather than generating as many leads as possible. Effort is concentrated on the accounts most likely to convert and expand, and success is measured at account level rather than by lead volume.

More: What is ABM marketing · ABM services

Buying committee

Also: buying group, decision-making unit, DMU

The group of people inside an account who collectively decide on a purchase. In enterprise B2B this typically involves six to ten stakeholders — an economic buyer, technical evaluators, procurement, risk or compliance, and an internal champion — each judging the decision against different criteria.

More: ABM strategy framework

Multi-threading

Building relationships with several stakeholders inside one account rather than relying on a single contact. Single-threaded deals stall when the champion leaves, goes quiet, or lacks the authority to push a decision through.

Buyer-Led Growth System

Formerly: Milestone-Driven ABM

Hat Media's operating model for integrating demand generation and ABM into one sequence: create market demand, capture intent signals, tier accounts by value and readiness, activate ABM plays, expand buying committee coverage, then scale with social selling and AI. Developed by Joana Inch and used on programmes including Lenovo's Tech Revolution across Asia-Pacific.

More: ABM vs demand generation · ABM strategy framework

Milestone-Driven ABM

The earlier name for what Hat Media now calls the Buyer-Led Growth System. The approach is the same: align marketing, sales and leadership around defined growth milestones and how buying committees actually reach a decision, rather than around campaign calendars. Published references to Milestone-Driven ABM describe this model.

See: Buyer-Led Growth System

1:1 ABM

Also: strategic ABM, one-to-one ABM

The most personalised tier: a bespoke plan built for a single named account. Reserved for a small number of strategic, high-value accounts where deal size justifies custom research, content and engagement.

1:Few ABM

Also: ABM Lite, one-to-few ABM, cluster ABM

Targets small clusters of accounts that share an industry, size or problem, using messaging tailored to that cluster rather than each individual account. It delivers most of the relevance of 1:1 at a fraction of the effort, and is usually the highest-ROI tier for lean teams.

More: 1:Few ABM explained

1:Many ABM

Also: programmatic ABM, one-to-many ABM

Targets a larger set of accounts sharing common attributes, using technology and segmentation to deliver semi-personalised messaging at scale. Relevance comes from intent signals and segmentation rather than bespoke content.

Ideal Customer Profile (ICP)

A definition of the type of company you win with consistently — by industry, size, region, technology stack, business model and trigger conditions. The ICP describes organisations, not individuals, and it should also state who you deliberately do not target.

Target Account List (TAL)

The named set of accounts an ABM programme is run against, selected against the ICP and usually tiered by value and readiness. A TAL is finite and owned — if nobody in sales owns an account, it does not belong on the list.

Total Addressable Market (TAM)

The full universe of organisations that could plausibly buy your product. In most B2B categories the TAM is far smaller than teams assume, which is precisely why concentrating effort beats broad reach.

Intent data

Signals indicating an account is actively researching a problem or category — repeat visits to high-intent pages, content downloads, webinar attendance, or third-party research activity. Intent data tells you when to engage, not whether an account is a good fit.

In-market vs out-of-market buyers

In-market accounts are actively evaluating solutions now and respond to proof, demos and direct engagement. Out-of-market accounts have long-term potential but no current need, and are better served by education that builds familiarity before the buying trigger arrives.

More: ABM sales strategy for APAC

Demand generation

Marketing that builds awareness, trust and buying intent across a market, so buyers arrive already informed. It is measured by buyer movement and pipeline contribution rather than form fills, and it is what makes ABM efficient — ABM into a cold market converts poorly.

More: ABM vs demand generation

Lead generation

Capturing contact details in exchange for content or an offer. Lead gen optimises for volume; demand generation optimises for trust and intent. The distinction matters because a large lead count and a healthy pipeline are not the same thing.

Marketing Qualified Lead (MQL)

An individual judged ready for sales follow-up based on their behaviour or profile. In account-based programmes the MQL is a weak unit of measurement, because deals are won at account level and a single qualified individual rarely represents a buying committee.

Social selling

Building credibility and relationships with buyers through the personal profiles of your team rather than brand channels. Used well it warms stakeholders before direct outreach; used poorly it becomes broadcast content with a person's name on it.

More: Employee advocacy

Go-to-market (GTM) strategy

The plan for how a company reaches and wins its market: which segments to pursue, what the offer and pricing are, which channels and motions to use, and how sales and marketing coordinate. Distinct from a marketing plan, which sits inside it.

More: Go-to-market strategy

GTM engineering

Also: go-to-market engineering. Not Google Tag Manager.

The practice of building the data, signal and outreach systems that produce pipeline — connecting enrichment providers to the CRM, triggering campaigns from real buying signals, and automating the research and routing that sales teams used to do by hand. It sits between RevOps and demand generation.

Waterfall enrichment

Chaining several data providers in priority order so that if the first cannot return an email or phone number, the next one tries, and so on. You pay only when a provider succeeds. It typically lifts valid-contact rates from roughly 50% on a single source to 85–95% across a chain.

Data coverage

The percentage of records in your list or CRM that hold the field you need — a verified email, a direct dial, a current job title. Low coverage is the usual reason an outbound programme underperforms, long before messaging is the problem.

Firmographics

Company-level attributes used to segment and score accounts: industry, employee count, revenue band, location, ownership structure, growth rate. The company equivalent of demographics.

Technographics

The technology an account already runs — CRM, cloud provider, analytics, security tooling. Useful both for fit (does our product integrate?) and for timing (a recent platform migration often opens a window).

AI research agent

An AI agent that browses the web to answer a specific research question about a company or person at scale — checking whether they run a particular process, finding a named role, or summarising a recent announcement. It replaces the manual research step in list building.

Email verification

Checking that an address exists and will accept mail before sending to it. Unverified lists generate bounces, bounces damage sender reputation, and damaged reputation moves your mail to spam for everyone — including accounts that would have replied.

CRM hygiene

The ongoing work of keeping records accurate, deduplicated and current — correct owners, valid contacts, consistent lifecycle stages. Unglamorous, and the single biggest determinant of whether account-level reporting can be trusted.

Lead routing

The rules that decide who receives a new lead and how fast. Routing failures are expensive in a way that rarely shows up in reporting: the lead was generated, it simply sat with nobody while the buyer went elsewhere.

Lead scoring

Assigning a value to a lead or account based on fit and behaviour to prioritise follow-up. Works when it reflects real conversion patterns; becomes theatre when the weights are guessed and never revisited.

Signal-based selling

Triggering outreach from an observed event rather than a calendar. The message references something real and recent, which is why signal-triggered sequences outperform scheduled ones — and why they decay fast if nobody follows up within a day or two.

Buying signal

Any observable event suggesting an account may be entering a buying cycle: a funding round, a relevant hire, a leadership change, a technology migration, repeat visits to pricing pages, or research activity in your category.

Job-change signal

A tracked move by a known contact into a new role. Among the strongest signals available, because new executives reassess vendors early and often bring previous suppliers with them.

Hiring signal

Job postings that reveal intent — a company hiring its first RevOps lead is building an operations function, and a burst of sales hires usually precedes investment in pipeline tooling.

Visitor identification

Also: de-anonymisation, reverse IP lookup

Matching anonymous website traffic back to a company so that account interest becomes actionable before anyone fills in a form. Coverage varies by market and is weaker for remote workforces.

First-party vs third-party intent

First-party intent is behaviour on your own properties — page visits, content downloads, webinar attendance. Third-party intent is research activity observed across other sites by a data provider. First-party is more reliable; third-party arrives earlier.

Sequence

Also: cadence

A defined series of touches across email, LinkedIn and phone, with timing and conditional branches. A sequence is a delivery mechanism, not a strategy — the relevance of what is inside it determines the outcome.

Deliverability

Whether your email reaches the inbox rather than spam or the promotions tab. Governed by sender reputation, authentication, list quality and engagement — and effectively invisible in most reporting, because unseen mail looks identical to ignored mail.

Domain warming

Gradually increasing send volume from a new domain or inbox so mailbox providers build a reputation for it. Skipping this is the most common reason a new outbound programme lands in spam in its first fortnight.

Inbox rotation

Distributing sends across multiple inboxes and domains to stay under per-inbox volume thresholds. A volume workaround, not a fix for poor targeting — and increasingly detected by mailbox providers.

SPF, DKIM and DMARC

Three DNS records that prove your mail is genuinely from your domain. SPF authorises sending servers, DKIM signs messages cryptographically, DMARC tells receivers what to do when a check fails. Missing or misconfigured records push mail to spam regardless of content.

Bounce rate

The share of sent mail rejected by the receiving server. Hard bounces mean the address does not exist; sustained rates above a few percent will damage sender reputation and reduce delivery for every campaign that follows.

Reply rate

The proportion of recipients who respond. A more honest measure of outbound quality than open rate, which has been unreliable since mail clients began pre-fetching images.

Personalisation tokens

Variables merged into a message — first name, company, a researched detail. Tokens make a message look tailored; genuine relevance requires that the underlying insight is real, which is the difference between personalisation and mail-merge.

AI SDR

An AI system that handles prospecting tasks traditionally done by a sales development rep: research, list building, drafting, and sometimes reply handling. Effective at the research and drafting layers; weaker wherever judgement about a specific buyer is required.

Account engagement

A composite measure of how much activity an account is generating across content, email, events and site visits. More useful than individual lead scores because it aggregates behaviour to the level at which the decision is actually made.

Buying committee coverage

Also: account penetration, stakeholder coverage

The proportion of an account's decision-making roles you have meaningfully engaged. Low coverage is the most reliable predictor of a stalled deal, because absent stakeholders surface late and reopen settled questions.

Pipeline velocity

How quickly accounts move through pipeline stages. Improvement usually comes from reducing decision risk earlier — getting proof to procurement and risk stakeholders before they ask — rather than from adding pressure late.

More: How to measure ABM properly

Account fit score

A rating of how closely an account matches the ICP, used to prioritise effort. Fit answers whether an account is worth pursuing; intent answers whether now is the moment. Both are needed.

ARR and MRR

Annual and monthly recurring revenue — contracted subscription revenue normalised to a yearly or monthly figure. Excludes one-off services, which is why reported ARR and actual cash collected often differ.

Customer Acquisition Cost (CAC)

Total sales and marketing spend divided by new customers acquired in the same period. Meaningful only when segmented — blended CAC across self-serve and enterprise motions hides more than it reveals.

CAC payback period

How many months of gross margin it takes to recover the cost of acquiring a customer. Often more decision-useful than CAC itself, because it speaks directly to how fast capital recycles.

Lifetime Value (LTV)

Expected gross profit from a customer across the whole relationship. Sensitive to churn assumptions — small changes in retention move LTV substantially, which is why the LTV:CAC ratio is easy to flatter.

Win rate

The share of qualified opportunities that close won. Rising win rates with flat pipeline usually indicate better qualification; falling win rates with growing pipeline usually indicate the opposite.

Sales cycle length

Time from opportunity creation to close. In enterprise B2B it is driven more by the number of stakeholders who must be satisfied than by the buyer's enthusiasm.

Pipeline coverage

Open pipeline value as a multiple of the target for the period. A 3x rule of thumb is common, but the right number is simply the inverse of your own win rate.

MQL, SQL and SAL

Marketing qualified lead, sales qualified lead, sales accepted lead — progressive stages of readiness. The definitions matter less than whether sales and marketing genuinely agree on them, which is where most funnels break.

MEDDIC and MEDDPICC

Enterprise qualification frameworks. MEDDIC covers Metrics, Economic buyer, Decision criteria, Decision process, Identify pain, Champion. MEDDPICC adds Paper process and Competition. Both exist to surface what you do not know about a deal before the forecast depends on it.

BANT

Budget, Authority, Need, Timing — an older qualification checklist. Still useful as a prompt, but poorly suited to committee-based buying where authority is distributed and budget often appears only once a business case exists.

Multi-touch attribution

Distributing credit for a closed deal across the touchpoints that preceded it, rather than crediting only the first or last. More representative than single-touch models, and still blind to anything it cannot track.

Self-reported attribution

Asking buyers directly how they heard about you, usually on a form. Crude, but it captures the podcast, the peer recommendation and the conversation that analytics never sees — which in B2B is often most of the reason.

Dark social

Sharing that happens in private channels — Slack groups, WhatsApp, DMs, email forwards — and arrives as direct traffic. A large share of B2B influence lives here, invisible to attribution, which is why self-reported data matters.

Net Revenue Retention (NRR)

Revenue from existing customers over a period including expansion, contraction and churn, expressed against the starting figure. Above 100% means the existing base grows without new logos, which is why NRR is the metric most closely watched in SaaS.

More: Customer retention strategies

Churn

Customers or revenue lost in a period. Most churn is decided long before cancellation — through weak onboarding, a single point of contact, or value that was never demonstrated after the sale.

Customer ABM

Applying account-based methods to existing customers rather than prospects, to protect renewals and drive expansion. Often the highest-return ABM available, because the relationships and account knowledge already exist.

Answer Engine Optimisation (AEO)

Structuring content so AI answer engines — Google's AI Overviews, ChatGPT, Perplexity, Gemini — can extract and cite it. In practice it means answering questions directly and early, marking content up with structured data, and building a verifiable entity presence.