Account-Based Marketing Glossary
ABMAn account-based marketing glossary is the canonical vocabulary B2B teams use to align strategy, roles, tools, intent data, and pipeline metrics in ABM execution.
Full Definition
The Account-Based Marketing Glossary for B2B Teams
An account-based marketing glossary is the canonical vocabulary B2B marketing teams use to align strategy, roles, tools, intent data, and pipeline metrics in ABM execution. This hub defines 22 terms that interlock into a working operating model, not a list of buzzwords scattered across product pages.
If your ABM vocabulary is borrowed from a platform, your strategy is too. Same words, different meanings. Different meanings, broken execution. RevOps reports "engaged accounts," sales reports "no meetings," and the CMO defends a number nobody in the room actually trusts. This glossary is the wiring diagram, not the marketing poster.
ABM adoption is no longer niche. According to the American Marketing Association (ama.org, 2023), account-based programs are now standard practice in enterprise B2B, yet the vocabulary remains fragmented. Salesforce, Oracle, Optimizely, and Demandbase each define the same terms differently, shaped by what their platforms sell. Platform glossaries define terms to sell software. We define terms to run the system. The Starr Conspiracy built this glossary to fix the fragmentation so a CMO, a demand-gen lead, and a RevOps director can argue from the same definitions, then turn those definitions into tiering rules, SLA enforcement, and metric formulas they can actually implement. Start with our ABM strategy guide when you want to put this vocabulary to work.
How this glossary is organized
The 22 terms fall into five mutually exclusive categories. Jump to any category or term below.
- Foundational Concepts set the model
- Strategy and Targeting set the list and the tiers
- Roles and Governance set who owns what
- Tools and Data set the signals and the workflow
- Pipeline Metrics and Failure Modes set the scoreboard and the warning lights
How the system interlocks
- Strategy terms (ICP, Named Account List, ABM Tier) decide where resources go.
- Roles terms (Buying Committee, Champion, SLA) decide who acts on which signal.
- Tools terms (Buyer Intent Data, Intent Signal, ABM Platform) feed the prioritization layer.
- Metrics terms (Pipeline Velocity, Account Coverage, Engagement Score, MQA) prove or disprove the system is working.
- Failure-mode terms (Spray and Pray, ICP Drift, Misaligned SLA) name the gaps that quietly kill enterprise pipeline.
Every term entry follows the same template: capsule definition, expanded definition, how it works, examples, related terms, FAQs, and a Bottom line. Standardize this before you scale spend or you will scale confusion.
How to use this glossary
- Building an ABM program from scratch? Read the categories in order.
- Diagnosing an underperforming program? Jump to the failure-mode terms.
- Standing up governance? Read Roles and Governance, then Metrics.
- After this glossary, you can tier accounts without arguing about what Tier 1 means, write an SLA that survives a quarter, and calibrate an Engagement Score that does not lie.
Foundational Concepts <a id="foundational-concepts"></a>
These terms define the model itself. Get them wrong and every downstream decision compounds the error. Hard truth: most "ABM programs" we audit fail this section before they ever buy software.
Account-Based Marketing (ABM)
Acronym: ABM. Synonyms: account-based GTM, account-centric marketing, key account marketing. Category: strategy.
Account-based marketing is a B2B go-to-market strategy that treats individual accounts as markets of one, coordinating sales and marketing to pursue a finite list of high-value targets instead of chasing inbound volume.
Account-based marketing is a B2B go-to-market strategy that treats individual accounts as markets of one. According to the American Marketing Association (ama.org, 2023), formal ABM practice took hold in the early 2000s and matured alongside intent-data infrastructure after 2015. ABM is not a vibe, it is an operating system. If your definition cannot drive an operating decision, it is not a definition, it is trivia.
How it works: ABM inverts the demand-generation logic. Instead of generating leads and qualifying accounts, teams select accounts first, then orchestrate plays against the buying committee inside each one. This changes resource allocation, content production, and pipeline forecasting in ways that broad-based demand cannot.
Examples:
- Salesforce running named-account plays against global financial-services targets through its own marketing org.
- Demandbase running programmatic ABM against ICP-fit accounts with dynamic web personalization.
- Oracle coordinating field marketing and sales against vertical cohorts of healthcare accounts.
Related terms:
FAQs
Is ABM a replacement for demand generation? No. ABM is a parallel motion focused on named accounts. Most enterprise teams run both.
Does ABM require a platform? No. Discipline matters more than software. A spreadsheet and a CRM beat an unused platform.
How long before ABM produces pipeline? In enterprise cycles, plan on quarters, not weeks, and measure leading indicators (coverage, engagement) first.
Demand States
Synonyms: buyer demand states, account-level demand. Category: strategy.
Demand states refer to the distinct conditions a buying committee occupies as it moves from unaware to active evaluation, replacing linear stage models with a behavioral classification of where an account actually sits in B2B marketing.
Demand states refer to the distinct conditions a buying committee occupies as it moves from unaware to active evaluation. The Starr Conspiracy uses a demand states model to map account-level signals to GTM motions, because stage-based models assume a linearity that enterprise buying does not have.
How it works: Each account is classified by observable behavior (research velocity, committee breadth, competitive evaluation signals) and assigned a motion. A latent account gets education. An active account gets a meeting request and a champion play. Thresholds live in CRM fields, not in slide decks.
Examples:
- An account researching the category but not the vendor gets thought-leadership content.
- An account evaluating two named competitors gets a battlecard-driven sales play.
- An account with a recent leadership change gets a trigger-event outreach sequence.
Related terms:
FAQs
How is this different from funnel stages? Stages describe a pipeline artifact. Demand states describe buyer reality.
Do demand states map to MQL or MQA? They replace MQL for account-level work and feed directly into MQA scoring.
How many states should we track? Enough to drive distinct plays, no more.
One-to-One ABM
Synonyms: strategic ABM, 1:1 ABM. Category: strategy.
One-to-one ABM is the most concentrated tier of account-based marketing, in which a dedicated team builds bespoke campaigns, content, and outreach for a single named account with high potential annual contract value.
One-to-one ABM is the most concentrated tier of account-based marketing. It is reserved for accounts where the revenue opportunity justifies a custom plan, custom content, and direct executive engagement.
How it works: A pod (typically marketer, AE, SDR, and exec sponsor) builds an account plan, maps the buying committee, and runs a 90-day play sequence with named outcomes. Resource intensity is high, account count is small.
Examples:
- A bespoke microsite for a single global insurer.
- A custom executive briefing produced for one named CFO.
- An invite-only dinner built around one target account's leadership team.
Related terms:
FAQs
How many accounts can a pod handle? Five to ten at full intensity.
Is one-to-one only for enterprise? It is for accounts whose lifetime value justifies the cost, regardless of segment label.
What is the most common failure? Building bespoke content without buying-committee access.
One-to-Few ABM
Synonyms: scaled ABM, 1:few ABM, cohort ABM. Category: strategy.
One-to-few ABM is a mid-tier motion that groups 5 to 25 accounts sharing similar firmographics, industry, or trigger events and targets them with semi-customized campaigns and coordinated sales outreach.
One-to-few ABM is the workhorse tier for most enterprise programs. Industry clusters and trigger-based cohorts allow shared content production while preserving relevance.
How it works: Teams build a content base (industry POV, problem narrative) once, then customize the top layer (greeting, examples, CTA) per cohort. Sales runs cohort-specific outreach with marketing air cover.
Examples:
- A cohort of 15 mid-market manufacturers facing the same regulatory change.
- A cohort of 20 SaaS companies that recently raised a Series C.
- A cohort of 10 retailers with a new CIO in the last 90 days.
Related terms:
FAQs
How many cohorts can one team run? Three to six concurrent cohorts is typical.
How customized is the content? Industry POV is shared, examples and CTAs are cohort-specific.
When does one-to-few become one-to-many? When you stop customizing anything beyond a logo swap.
One-to-Many ABM
Synonyms: programmatic ABM, 1:many ABM. Category: marketing.
One-to-many ABM is the broadest tier, applying programmatic personalization to hundreds or thousands of ICP-fit accounts through dynamic advertising, web personalization, and lifecycle email.
One-to-many ABM uses software to scale account-level relevance. It is not demand generation with an account list bolted on. It is programmatic targeting that respects the named account boundary.
How it works: ICP-fit accounts are loaded into an ABM platform, which serves account-aware ads, personalizes web experiences by firmographic match, and triggers lifecycle email based on account-level engagement.
Examples:
- Dynamic homepage personalization by industry on an Optimizely deployment.
- Programmatic display targeted to a 2,000-account ICP list through Demandbase.
- Lifecycle email cadence in Oracle Eloqua triggered by account-level intent spikes.
Related terms:
FAQs
Is this just retargeting? No. Retargeting follows individuals, one-to-many ABM follows accounts.
Does it require an ABM platform? In practice, yes, because account-aware ad serving is not native to most ad platforms.
Can it close enterprise deals alone? Not in enterprise cycles. It feeds the tiers above it.
Strategy and Targeting <a id="strategy-and-targeting"></a>
These terms decide who you sell to and how much you invest per account. Hard truth: tools and metrics cannot save a bad target list.
Ideal Customer Profile (ICP)
Acronym: ICP. Synonyms: ideal account profile, target customer profile. Category: strategy.
Ideal Customer Profile (ICP) is a documented description of the account types most likely to buy, renew, and expand, defined by firmographic, technographic, and behavioral attributes rather than persona traits in B2B marketing.
Ideal Customer Profile (ICP) is the foundational selection criterion for any ABM program. A strong ICP narrows the addressable market and increases the density of qualified pipeline by filtering out accounts that will close slowly, churn fast, or never close at all. The Starr Conspiracy builds ICPs from closed-won analysis, not from aspiration.
How it works: ICP attributes typically include industry, revenue band, employee count, tech stack, growth signals, and observed buying behavior in similar accounts. Operationally, the ICP becomes a scoring rule applied to CRM and ABM platform records, gating which accounts can be added to the named list.
Examples:
- A cybersecurity vendor's ICP: financial-services firms with 1,000 to 10,000 employees running a specific identity platform.
- A vertical SaaS ICP: independent specialty clinics with 5 to 50 providers.
- A data-infrastructure ICP: post-Series B startups with a named head of data.
Related terms:
FAQs
How often should ICP be refreshed? At least annually, or after a major product or pricing change.
Is ICP the same as buyer persona? No. ICP describes the account, persona describes the human.
Who owns the ICP? Marketing drafts, sales ratifies, RevOps enforces.
Named Account List
Synonyms: target account list, NAL, strategic account list. Category: strategy.
A Named Account List is the finite, sales-approved set of companies an ABM program pursues during a defined period, usually a fiscal quarter or year, and serves as the operating contract between marketing and sales.
A Named Account List is the finite, sales-approved set of companies an ABM program pursues during a defined period. At The Starr Conspiracy, we treat the named account list as a contract artifact, not a spreadsheet. If the list is not signed by both sides, the program is theatre.
How it works: Marketing proposes the list from ICP-fit accounts. Sales reviews, edits, and commits to working it. RevOps locks the list in the CRM through a list-membership field that gates campaign eligibility and reporting for the period.
Examples:
- A 150-account list segmented into 20 Tier 1, 50 Tier 2, 80 Tier 3.
- A regional list of 75 named accounts per AE territory.
- A vertical list of 300 healthcare systems aligned to a new product launch.
Related terms:
FAQs
How big should the list be? Small enough to actually work, big enough to cover quota.
Can accounts be added mid-period? Only with a documented trigger and joint approval.
Should renewal accounts be on the list? Treat them as a separate motion.
ABM Tier
Synonyms: account tier, tiering model. Category: strategy.
ABM Tier is the classification level (typically Tier 1, Tier 2, Tier 3) assigned to each named account based on revenue potential, strategic fit, and resource intensity, which dictates whether the account receives one-to-one, one-to-few, or one-to-many treatment.
ABM Tier is the classification level assigned to each named account. Tiering is how you stop pretending every account deserves the same investment.
How it works: Tier 1 accounts get one-to-one motion with dedicated pods. Tier 2 accounts get one-to-few cohorts with shared content. Tier 3 accounts get one-to-many programmatic treatment. Tier lives as a CRM field gating play eligibility, content access, and SLA response time.
Examples:
- 20 Tier 1 accounts with named pods and quarterly executive briefings.
- 80 Tier 2 accounts in four industry cohorts.
- 500 Tier 3 accounts on programmatic display and lifecycle email.
Related terms:
FAQs
How often should tiers be re-evaluated? Quarterly.
Can an account move tiers mid-period? Yes, when intent or trigger events justify it.
Is Tier 1 always enterprise? Tier 1 is whatever revenue opportunity justifies one-to-one resource intensity.
Account Plan
Synonyms: strategic account plan, account playbook. Category: strategy.
An Account Plan is the documented strategy for a single Tier 1 or Tier 2 account, containing the buying committee map, known pain points, competitive landscape, content assets, and a 90-day play sequence.
An Account Plan is the documented strategy for a single Tier 1 or Tier 2 account. The Starr Conspiracy treats the account plan as the operating artifact of one-to-one ABM, because without it the pod is improvising.
How it works: The pod builds the plan jointly. Marketing owns the committee map and content assets. Sales owns the relationships and the play sequence. The plan is a living document reviewed every two weeks against named outcomes.
Examples:
- A 12-page plan for a global insurer with named contacts in eight committee roles.
- A plan for a Fortune 500 manufacturer with three sponsored field events.
- A plan for a regional bank tied to a pending compliance deadline.
Related terms:
FAQs
Who writes the account plan? The pod, jointly.
How often is it reviewed? Every two weeks at minimum.
What is the most common failure? A plan with no committee map.
Play
Synonyms: ABM play, sales play, GTM play. Category: marketing.
A Play is a pre-defined, multi-touch sequence triggered by a specific account signal, combining marketing, sales, and SDR actions toward a named outcome such as a meeting booked or an opportunity created.
A Play is a pre-defined, multi-touch sequence triggered by a specific account signal. Plays turn intent into action with a defined start, defined steps, and a defined outcome.
How it works: Each play specifies a trigger (intent spike, committee expansion, trigger event), a sequence (touches across channels in a defined order), and an outcome (meeting, demo, opportunity). Plays are versioned in a play library and measured by completion and outcome rates.
Examples:
- A "new CIO" play triggered by a leadership-change signal.
- A "competitor evaluation" play triggered by review-site activity.
- A "research surge" play triggered by a 90-day intent spike.
Related terms:
FAQs
How many plays should a team run? Five to ten well-instrumented plays beats 50 vague ones.
Who owns play design? Marketing and sales jointly. RevOps instruments.
Are plays the same as cadences? Cadences are sales-only. Plays cross marketing and sales.
Trigger Event
Synonyms: buying trigger, account trigger. Category: strategy.
A Trigger Event is a discrete external occurrence (funding, leadership change, regulatory shift, M&A, product launch) that meaningfully increases the probability an account is in market, used to prioritize ABM outreach.
A Trigger Event is a discrete external occurrence that meaningfully increases an account's buying probability. Triggers are when a cold account becomes worth a call.
How it works: Triggers are monitored across news, filings, hiring data, and product launches via ZoomInfo, Demandbase, and similar enrichment sources. When a monitored account hits a trigger, a corresponding play is launched within a defined response window.
Examples:
- A new CFO hired at a Tier 1 account.
- A Series C funding round closed at an ICP-fit account.
- A regulatory deadline that affects a vertical cohort.
Related terms:
FAQs
How fast should we respond to a trigger? Days, not weeks. Hot triggers cool inside a week.
Are triggers more valuable than intent data? They are complementary. Triggers tell you something changed, intent tells you they are researching.
Who monitors triggers? RevOps tools and SDR teams, jointly.
Total Addressable Market (TAM)
Acronym: TAM. Synonyms: total addressable market, market opportunity. Category: strategy.
Total Addressable Market (TAM) is the full revenue opportunity available to a vendor if it captured 100% of accounts matching a broad market definition, used as the outer boundary inside which ICP narrows the focus.
Total Addressable Market (TAM) is the full revenue opportunity available to a vendor if it captured every account matching a broad market definition. TAM matters in ABM only because it defines the universe from which ICP carves a target.
How it works: TAM is calculated as the count of qualifying accounts multiplied by realistic average annual contract value. ABM teams then apply ICP filters to derive a serviceable, named subset.
Formula: TAM equals Qualifying Accounts x Average ACV.
Worked calculation: 8,000 qualifying clinics x $40,000 ACV equals $320M TAM.
Examples:
- A vertical SaaS vendor's TAM of 8,000 US specialty clinics at $40K ACV.
- A cybersecurity vendor's TAM of 12,000 mid-market firms at $120K ACV.
- A data-infrastructure vendor's TAM of 3,000 post-Series B startups at $80K ACV.
Related terms:
FAQs
Is TAM the same as ICP? No. TAM is the universe, ICP is the qualified subset.
Should TAM drive headcount? Only loosely. ICP and named-account density drive headcount.
How often should TAM be updated? Annually, or after a major product expansion.
Roles and Governance <a id="roles-and-governance"></a>
These terms decide who owns what. Hard truth: vague ownership is how ABM programs quietly rot, and every week your SLA is undefined is a week hot accounts cool off.
Buying Committee
Synonyms: buying group, decision-making unit, DMU. Category: strategy.
A Buying Committee is the group of individuals inside a target account who collectively influence, evaluate, and approve a B2B purchase decision, typically spanning economic, technical, end-user, and procurement roles.
A Buying Committee is the group of individuals inside a target account who collectively influence, evaluate, and approve a purchase decision. Enterprise software buys routinely involve six to ten stakeholders, per multiple Gartner research notes published since 2017. Mapping the committee is the prerequisite for any one-to-one motion. If you cannot name six people inside your Tier 1 account, you do not have a Tier 1 account, you have a logo.
How it works: The committee typically includes the economic buyer, technical evaluator, end user, champion, blocker, and procurement. Each role gets distinct content, distinct messaging, and distinct sales touches, tracked through CRM contact roles and engagement fields.
Examples:
- A SaaS purchase committee with CFO, CIO, VP Engineering, lead developer, and procurement.
- A services purchase committee with CMO, VP Marketing Ops, head of brand, and procurement.
- A platform purchase committee with CTO, head of data, security lead, and finance partner.
Related terms:
FAQs
How many committee members must we engage? At least four named contacts with documented engagement for a Tier 1 deal.
Who maps the committee? SDR and AE, with RevOps validation.
What if we cannot identify the committee? Tier the account down until you can.
Champion
Synonyms: internal advocate, deal champion. Category: strategy.
A Champion is the internal advocate inside a target account who actively sells the solution to peers and decision-makers on behalf of the vendor partner, distinguishable from an economic buyer or end user.
A Champion is the internal advocate inside a target account who actively sells on the vendor's behalf. No champion, no enterprise deal.
How it works: Champions are identified by behavior, not titles. They forward content internally, schedule peer meetings, and share competitive intelligence. The vendor's job is to equip the champion with proof, narrative, and political cover, then track those equip events as champion-enablement touches in the CRM.
Examples:
- A VP of Engineering who circulates a technical brief to peers.
- A director of operations who brings the vendor into an executive review.
- A finance partner who builds the internal business case.
Related terms:
FAQs
How do we identify a champion? By unprompted internal advocacy, documented in the account plan.
What if there is no champion? The deal is not yet a deal.
Can there be multiple champions? Yes, and large deals usually require it.
Service Level Agreement (SLA)
Acronym: SLA. Synonyms: marketing-sales SLA, handoff agreement. Category: leadership.
A Service Level Agreement (SLA) in ABM is the documented commitment between marketing and sales defining response times, lead-quality thresholds, account ownership, and handoff criteria for accounts in active demand states.
A Service Level Agreement (SLA) in ABM is the documented commitment between marketing and sales. A missing or stale SLA is one of the most common governance failures in mid-stage ABM programs. Every week your SLA is undefined is a week hot accounts cool off.
How it works: The SLA specifies response time for hot accounts, qualification criteria for handoff, ownership rules for shared accounts, and escalation paths for breakdowns. RevOps enforces it through Salesforce workflows that timestamp every handoff and surface breach reports.
Examples:
- A 30-minute response SLA for Tier 1 accounts in active demand states.
- A 24-hour SLA for Tier 2 accounts.
- A weekly review SLA for Tier 3 programmatic cohorts.
Related terms:
FAQs
Who drafts the SLA? Marketing and sales jointly, RevOps owns enforcement.
How often is it reviewed? Quarterly.
What is the most common failure? The SLA exists on paper but not in workflow.
Standardize this before you scale spend. If the vocabulary above is not yet locked across marketing, sales, and RevOps, pause new tool spend and start with our ABM strategy guide to build tiering, plays, and governance that turn these definitions into predictable enterprise pipeline.
Tools and Data <a id="tools-and-data"></a>
These terms decide what signals you act on and what workflow you act through. Tools amplify discipline, they do not create it.
Buyer Intent Data
Synonyms: intent data, B2B intent data, third-party intent. Category: technology.
Buyer Intent Data refers to behavioral signals (content consumption, keyword research, third-party site visits, review-site activity) that indicate a specific account is researching a solution category.
Buyer Intent Data refers to behavioral signals that indicate a specific account is researching a solution category. Intent data turns ABM from static targeting into dynamic prioritization.
How it works: First-party signals (web visits, content downloads) combine with third-party signals (research across publisher networks) into an account-level intent profile. Accounts crossing defined thresholds trigger prioritized plays.
Threshold setting is a calibration exercise: pull 90 days of closed-won accounts, measure their pre-opportunity intent footprint, and use that as the floor for prioritization.
Examples:
- Demandbase intent surfacing accounts researching "data lakehouse architecture" across publisher sites.
- Salesforce Pardot tracking first-party content consumption on a named account list.
- ZoomInfo intent flagging engineering teams consuming technical content unusually quickly.
Related terms:
FAQs
Is intent data reliable? Directionally yes, deterministically no.
Do we need first-party and third-party intent? Both, for breadth and validation.
Who acts on intent data? SDR for outreach, marketing for prioritization, AE for context.
Intent Signal
Synonyms: buying signal, behavioral signal. Category: technology.
An Intent Signal is a single discrete data point (a research session, a competitor comparison view, a job posting) that contributes to an account's overall intent score, weighted by recency and signal type.
An Intent Signal is a single discrete data point that contributes to an account's overall intent score. Individual signals are noise. Patterns are signal.
How it works: Signals are weighted by source credibility, recency, and topical relevance. The aggregate determines whether an account crosses an action threshold in the ABM platform or CRM.
Examples:
- A competitor-comparison view from a known target account on G2 or TrustRadius.
- A high-intent keyword search by an account in the named list.
- A relevant job posting at an ICP-fit account surfaced through ZoomInfo.
Related terms:
FAQs
How many signals before we act? Enough to cross a defined threshold, not a single signal.
Who weighs the signals? RevOps and marketing jointly.
Can signals be wrong? Yes. Validate before high-cost actions.
Engagement Score
Synonyms: account engagement score, engagement index. Category: analytics.
Engagement Score is a composite numeric value that quantifies an account's depth of interaction across marketing and sales touchpoints, calculated as the weighted sum of behavioral events over a rolling window.
Engagement Score is a composite numeric value that quantifies an account's depth of interaction. It is the bridge between intent data and SLA action.
How it works:
Formula: Engagement Score equals the sum of (event weight x recency factor) across all tracked interactions in the rolling window.
Variables:
- Event weight: an assigned value per event type (web visit = 1, content download = 3, demo request = 10).
- Recency factor: a decay multiplier reducing the weight of older events (1.0 for last 7 days, 0.5 for 8 to 30 days, 0.25 for 31 to 90 days).
Key Stat Callout: A 90-day rolling window covers the median enterprise B2B research cycle (Gartner B2B Buying Journey research, 2017 to 2023). Shorter windows miss latent buyers, longer windows dilute recency.
Worked calculation: An account in the last 90 days has 6 web visits in the last 7 days (6 x 1 x 1.0 = 6), 2 content downloads 20 days ago (2 x 3 x 0.5 = 3), and 1 demo request 45 days ago (1 x 10 x 0.25 = 2.5). Engagement Score equals 11.5.
Teams set a sales-handoff threshold based on closed-won analysis. The threshold is a calibration, not a universal number.
Examples:
- A handoff threshold tuned to historical conversion rates inside a specific ICP.
- A separate threshold for Tier 1 versus Tier 3 accounts.
- A re-engagement threshold that triggers nurture, not a sales call.
Related terms:
FAQs
Should every team use the same threshold? No. Calibrate to your own closed-won data.
What is the right rolling window? 60 to 90 days for most B2B cycles.
Who owns the model? RevOps, with marketing and sales sign-off.
ABM Platform
Synonyms: account-based marketing platform, ABM software. Category: technology.
An ABM Platform is the integrated software layer that combines account identification, intent data, advertising, web personalization, and analytics into a single workflow for B2B account-based marketing teams.
An ABM Platform is the integrated software layer that combines account identification, intent data, advertising, web personalization, and analytics. The platform is the workflow, not the strategy.
How it works: The platform ingests CRM data, matches anonymous web traffic to accounts, ingests third-party intent, serves account-aware ads, personalizes the website, and reports on account-level engagement. Integration usually requires bidirectional sync with Salesforce or a comparable CRM and a marketing automation tool such as Oracle Eloqua or Adobe Marketo.
Examples:
- Demandbase used for account identification and programmatic display.
- An integrated stack pairing Demandbase with Salesforce CRM and Adobe Marketo.
- An Optimizely web personalization implementation across an ICP list.
Related terms:
FAQs
Do we need an ABM platform to start? No. Discipline first, platform second.
When does a platform become necessary? When one-to-many scale exceeds manual workflow capacity.
Can a CRM replace an ABM platform? For tiered motion, often yes. For programmatic, no.
Pipeline Metrics and Failure Modes <a id="pipeline-metrics-and-failure-modes"></a>
These terms decide whether the system is working and where it is breaking. Hard truth: without them, you cannot manage ABM, you can only describe it.
Marketing Qualified Account (MQA)
Acronym: MQA. Synonyms: qualified account, account-qualified lead. Category: analytics.
A Marketing Qualified Account (MQA) is a named account whose aggregate engagement, intent, and committee activity crosses the documented threshold for sales handoff, replacing the lead-level MQL concept in account-based motions.
A Marketing Qualified Account (MQA) is a named account whose aggregate engagement, intent, and committee activity crosses the documented threshold for sales handoff. The Starr Conspiracy operationalizes MQAs as the unit of handoff in ABM, because MQL math breaks when the buyer is a committee.
How it works:
Formula: An account becomes an MQA when Engagement Score >= handoff threshold AND committee contacts engaged >= minimum contact count AND tier eligibility = true.
Key Stat Callout: Forrester has documented (Forrester Q3 2022 B2B Buying Study) that committee-level engagement correlates more strongly with closed-won than individual lead scores in enterprise cycles.
Worked calculation: A Tier 2 account with Engagement Score of 18 (threshold 15), 4 engaged committee contacts (threshold 3), and tier eligibility true qualifies as an MQA and triggers the 24-hour SLA.
Examples:
- A Tier 1 MQA threshold requiring 6 committee contacts and Engagement Score above 25.
- A Tier 2 MQA threshold requiring 3 contacts and Engagement Score above 15.
- A Tier 3 MQA threshold based on programmatic engagement plus a single high-intent action.
Related terms:
FAQs
Does MQA replace MQL entirely? In ABM motions, yes. Keep MQL only for inbound demand outside the named list.
Who sets the MQA threshold? RevOps, calibrated against closed-won analysis.
How often is it recalibrated? Quarterly, or after any material change to ICP or pricing.
Pipeline Velocity
Synonyms: sales velocity, pipeline throughput. Category: analytics.
Pipeline Velocity is the dollar value of qualified opportunities advancing through the sales cycle per unit of time, calculated as (number of opportunities x average deal size x win rate) divided by sales cycle length in days.
Pipeline Velocity is the single best summary metric for whether an ABM program is producing predictable enterprise pipeline. It compresses four variables into one number that moves with the system.
How it works:
Formula: Pipeline Velocity equals (Number of Qualified Opportunities x Average Deal Size x Win Rate) divided by Sales Cycle Length in days.
Variables:
- Number of Qualified Opportunities: opportunities meeting documented qualification criteria in the period.
- Average Deal Size: mean ACV of opportunities in the period.
- Win Rate: closed-won divided by total closed in the period.
- Sales Cycle Length: median days from opportunity creation to closed-won.
Key Stat Callout: Salesforce State of Sales (Salesforce, 2023) reports that high-performing sales orgs measure pipeline velocity as a primary leading indicator, ahead of pipeline value.
Worked calculation: 40 qualified opportunities x $120,000 ACV x 28% win rate divided by 95 days equals $14,147 in pipeline velocity per day.
ABM lifts this metric primarily by improving win rate and average deal size on tiered accounts, not by adding more opportunities.
Examples:
- A Tier 1 cohort lifting average deal size after one-to-one motion.
- A trigger-driven play shortening sales cycle on a named cohort.
- A win-rate improvement after committee coverage rises.
Related terms:
FAQs
How often should we measure? Monthly, with quarterly trend review.
Which variable should we improve first? Whichever is the worst relative to historical baseline.
Is pipeline velocity an ABM-only metric? No, but ABM moves it more reliably than broad demand.
Account Coverage
Synonyms: coverage rate, committee coverage. Category: analytics.
Account Coverage is the percentage of named accounts in which marketing and sales have engaged the minimum threshold of buying-committee members with the minimum threshold of qualified touches.
Account Coverage is the percentage of named accounts where committee engagement meets a defined standard. Without coverage, pipeline forecasts are fiction.
How it works:
Formula: Account Coverage equals (Accounts meeting coverage threshold / Total named accounts) x 100.
Variables:
- Coverage threshold: typically 4 or more named contacts each engaged at least 3 times in the period.
- Total named accounts: the locked named account list for the period.
Key Stat Callout: Coverage above 60% of the Tier 1 list correlates with above-baseline Pipeline Velocity in The Starr Conspiracy's GTM practice work.
Worked calculation: 60 covered accounts / 150 named accounts x 100 equals 40% Account Coverage.
Coverage thresholds vary by tier. Tier 1 requires deeper coverage than Tier 3.
Examples:
- A Tier 1 coverage standard of 6 contacts and 5 touches each.
- A Tier 2 coverage standard of 4 contacts and 3 touches each.
- A Tier 3 coverage standard met through programmatic engagement.
Related terms:
FAQs
Why measure coverage instead of just pipeline? Coverage is a leading indicator. Pipeline is lagging.
How often should we measure? Weekly for Tier 1, monthly for Tier 2 and 3.
Who owns coverage? AE and SDR, with marketing reporting.
Spray and Pray
Synonyms: faux-ABM, ABM theatre. Category: marketing.
Spray and Pray is the failure mode in which a team claims to run ABM while actually executing broad-volume demand generation, treating the named account list as a filter rather than a focus.
Spray and Pray is the failure mode in which a team claims to run ABM while actually running broad demand. We see this pattern constantly in self-reported ABM programs. This is how you end up with 40 "engaged" accounts and zero meetings.
How it works: The named account list exists but is not enforced in CRM workflow. Campaigns are built for volume, then reported against the list after the fact. Tiering exists in slides, not in workflow.
Examples:
- A "named-account" campaign that targets anyone fitting an industry tag.
- An "ABM" email cadence sent to a 30,000-record database.
- A tiering model that exists in a deck and nowhere in the Salesforce account record.
Related terms:
FAQs
**How do we know we are spraying
Examples
- A 200-person B2B SaaS team uses the ABM Tier definition to split a 600-account named list into 12 Tier 1 accounts (one-to-one), 80 Tier 2 (one-to-few), and 508 Tier 3 (one-to-many), then assigns play sequences and SLA thresholds by tier.
- A RevOps director audits a stalled ABM program against the Misaligned SLA and ICP Drift definitions, discovers marketing scores engagement at 75 while sales requires 90 for outreach, and rewrites the SLA in one working session.
- A demand-gen lead applies the Engagement Score formula (sum of event weight times recency factor over 90 days) using Bombora intent data plus first-party web events, surfacing 14 accounts in active demand states that the prior MQL model had missed.
Synonyms
Related Terms
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