Clear definitions and practical examples for the language of AI, sales and revenue operations.
157 terms. Search by name, acronym or concept.Definitions explain the general concept. “In Evergrowth” notes describe the product's application. Maintained by Evergrowth through reviews of product pages and documentation. See the current Evergrowth product reference.
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Artificial intelligence is software designed to perform tasks such as recognizing patterns, interpreting language or making predictions. Its usefulness depends on the task, evidence and checks applied to its output.
Example
A seller reviews an AI summary of a company's website before using it in meeting preparation.
In Evergrowth · Orchestration
A large language model is a machine-learning model that processes and generates language based on patterns learned during training. Applications can supply instructions, retrieved information and tools to help it perform tasks. Model choice, task design and evidence all affect the result.
Example
A model drafts a meeting brief from supplied account research.
In Evergrowth · Orchestration
Generative AI produces content such as text, images or audio. In GTM, it can draft a message or summarize research. Output quality depends on the model, evidence, instructions and review. Generative capability and agentic execution can be used together.
Example
A seller generates a first draft of an email and checks its claims before sending.
In Evergrowth · Orchestration
Natural language processing is the field of computing concerned with analyzing and generating human language. It includes tasks such as extracting entities, classifying text and summarizing documents.
Example
A system extracts company names and roles from a research note.
In Evergrowth · Orchestration
A prompt is input that guides an AI model, including instructions, a question or relevant context. GTM prompts may specify qualification criteria or a messaging task. Clear prompts help, but accurate evidence, suitable tools and output review also matter.
Example
A research instruction specifies the question, evidence required and how to report uncertainty.
In Evergrowth · Orchestration
A hallucination is generated content that is inaccurate or unsupported while appearing plausible. In GTM, it can create a false company fact or an invented contact detail. Source grounding, explicit uncertainty and human review reduce risk; none guarantees error-free output.
Example
A generated brief invents a funding round that no cited source supports.
OpenAI: why language models hallucinate
In Evergrowth · Orchestration
A context window is the maximum amount of input and output a model can handle for a request, measured in tokens. Workflow results and retrieved information may be supplied within that limit. Persistent CRM data or saved knowledge is not automatically present in every request.
Example
A long research report may need selective retrieval before a model can use it.
In Evergrowth · Orchestration
A token is a unit used by a model to represent text or other input and output. Tokenization varies by model, language and content. Token usage can affect model cost and request capacity, while a product may bill customers using a separate credit model.
Example
A model counts the tokens in both the supplied research and its generated answer.
In Evergrowth · Orchestration
Fine-tuning updates an existing model's parameters using additional training examples. Supplying instructions or retrieving company information is different from fine-tuning the model.
Example
A team trains a model on labeled examples of its preferred writing style.
In Evergrowth · Orchestration
RAG combines retrieval from an external information source with generation using the retrieved material. It can help an answer use relevant documents or facts beyond model training, but the quality still depends on retrieval, evidence and the generated interpretation.
Example
An application retrieves relevant product documents before drafting an answer.
In Evergrowth · Orchestration
An embedding represents information as a numerical vector so a system can compare similarity. Similarity can help retrieve relevant material, but it does not establish that 2 statements are factually equivalent.
Example
A search tool retrieves research notes that discuss a similar business problem.
In Evergrowth · Orchestration
A model provider develops or hosts AI models that applications can use. The provider's model is one component of an application, alongside its data, tools and workflow.
Example
A research service uses models from different providers for different tasks.
In Evergrowth · Orchestration
Connecting an AI answer to relevant evidence or supplied context rather than relying only on model-generated assertions. Grounding improves traceability but does not guarantee that an answer is correct.
Example
A meeting brief cites account research and distinguishes sourced facts from suggestions.
In Evergrowth · Orchestration
An AI agent is software that uses a model, context and available tools to take steps toward a task. Its autonomy varies according to permissions, workflow rules and human oversight.
Example
An agent researches an account and saves its findings for a seller to review.
Read: The future of GTM software
In Evergrowth · Workflows
An agentic workflow coordinates AI-supported tasks, tools and record updates toward a defined outcome. It can include branches, schedules and human review rather than only a fixed agent chain.
Example
A workflow qualifies an account and branches to deeper research only when it passes.
Read: The future of GTM software
In Evergrowth · Workflows
Agentic GTM is an approach in which AI agents perform parts of go-to-market work, such as research, qualification and outreach preparation. People define objectives and remain responsible for decisions and customer relationships.
Example
Agents prepare account context while sellers review it and lead the conversations.
Read: The future of GTM software
In Evergrowth · Workflows
AI SDR and AI BDR describe products that automate some sales-development tasks. Their scope varies, from research and drafting to sending outreach or managing follow-up, so the label alone does not specify their behavior.
Example
A team evaluates whether an AI SDR drafts messages or also sends them automatically.
Read: The future of GTM software
In Evergrowth · Workflows
An assistant helps a person through an interactive interface; an agent can carry out actions using tools toward a goal. One application can support both patterns. The useful distinction is its enabled tools, permissions, autonomy and review controls.
Example
An assistant may summarize research and also invoke a permitted tool to start another task.
In Evergrowth · Workflows
Digital colleague is a metaphor for an AI system with a defined role in a team's workflow. It describes how people work with the system, rather than a separate technical category.
Example
A team treats its research agent as a specialist whose output sellers review.
Read: The future of GTM software
In Evergrowth · Workflows
Human-in-the-loop means a person participates at defined points in a system's execution or evaluation. The review point and the person's authority should be explicit.
Example
A seller checks a generated play before exporting it to a sending tool.
Read: The future of GTM software
In Evergrowth · Workflows
A multi-agent system coordinates multiple agents with distinct responsibilities. Agents may work sequentially, in parallel or through conditional handoffs.
Example
Separate agents handle account qualification, contact discovery and outreach drafting.
Read: The future of GTM software
In Evergrowth · Workflows
An agent chain connects tasks so outputs from earlier agents can inform later work. A chain is one workflow pattern; branching and human review can also be part of the process.
Example
Account research supplies evidence for an account plan and a contact-specific play.
Read: The future of GTM software
In Evergrowth · Workflows
An orchestration layer coordinates tasks, tools and data across a workflow. It can manage scheduling, dependencies, retries and permissions, depending on the implementation.
Example
A workflow waits for qualification before starting contact discovery.
Read: The future of GTM software
In Evergrowth · Workflows
Tool use, also called function calling, lets an AI application request an external operation through a defined interface. The application must validate and authorize the request before executing it.
Example
An assistant asks a CRM tool for the account fields its user may access.
Read: The future of GTM software
In Evergrowth · Workflows
Guardrails are controls intended to limit unwanted behavior in an AI application. Permissions, validation, spend limits and human review address different risks; no single control guarantees correct output.
Example
An agent may read research but lacks permission to change a CRM record.
Read: The future of GTM software
In Evergrowth · Workflows
An open standard through which AI applications connect to external tools, data and prompts. An MCP connection enables access; the application still needs permissions and a workflow to use it.
Example
An assistant reads permitted CRM context and requests a research run through connected tools.
Model Context Protocol introduction
In Evergrowth · Orchestration
A rule that chooses the next workflow step according to the current record state or earlier results. Branching can skip unnecessary actions or route records to a different path.
Example
Find a missing phone only for qualified contacts whose record does not already contain one.
Read: The future of GTM software
In Evergrowth · Workflows
A repeatable assessment of AI behavior against defined examples and criteria. Evaluations help compare prompts or models and detect regressions; passing a test set is not a guarantee for every future input.
Example
Test account qualification on labeled examples before changing the prompt used at volume.
In Evergrowth · Vs Internal Build
Selecting a model or provider for a task using criteria such as capability, cost and latency. Routing policies may be tested and updated as available models change.
Example
A research task uses a model selected for the required reasoning level.
Read: The future of GTM software
In Evergrowth · Frontier Models Research Qualification
An ideal customer profile describes the kinds of organizations best suited to a company's offer. It guides account selection using criteria such as business activity, size, geography and requirements.
Example
A software team targets manufacturers operating in the regions it supports.
Read: Luzmo qualification story
In Evergrowth · Agent Training Center
A buyer persona describes a target buyer role, including responsibilities, problems and involvement in a purchase. It is a working model, not a verified description of every individual in that role.
Example
A team defines an operations-leader persona around process ownership and efficiency goals.
Read: Qualification frameworks in practice
In Evergrowth · Agent Training Center
A persona card is a structured description of a buyer role for a defined segment, including responsibilities, problems, decision role and relevant messaging. It guides contact selection and communication; it does not establish an individual person's personality or purchasing authority.
Example
A team records the responsibilities and role criteria its Contact Finder should use.
Read: Qualification frameworks in practice
In Evergrowth · Agent Training Center
An ICP vertical is a target segment with its own company-level qualification criteria. It may be defined by industry, business model or use case. Segment membership and qualification fit should be distinguished from timing signals used to prioritize accounts.
Example
A team separates financial services and healthcare because each needs different qualification criteria.
Read: Qualification frameworks in practice
In Evergrowth · Agent Training Center
A buying signal is an observable event or behavior that may make an account more relevant to a sales conversation. A signal suggests a reason to investigate; it does not prove budget, interest or intent to buy.
Example
A dated job advertisement shows a company building a function your product supports.
Read: IGEN account research story
In Evergrowth · Account Research
Intent data records behavior that may indicate interest in a topic or solution category. Attribution, coverage and interpretation vary by source, so a recorded behavior is not proof of a purchase decision.
Example
A team investigates increased visits to a comparison page alongside account fit.
Read: Qualification frameworks in practice
In Evergrowth · Agent Training Center
First-party intent comes from behavior on a company's own properties or direct interactions. Third-party intent comes from an outside provider's observations, with its own collection and attribution methods.
Example
Demo requests are first-party evidence; a vendor's topic-interest feed is third-party evidence.
Read: Qualification frameworks in practice
In Evergrowth · Agent Training Center
Firmographic data describes organizational attributes such as business activity, employee count, location and revenue. Each attribute has a source and may require verification or refresh.
Example
A team filters accounts by geography and estimated company size.
Read: Qualification frameworks in practice
In Evergrowth · Agent Training Center
Technographic data describes technologies an organization uses or appears to use. Detection can be incomplete, so the source and date matter.
Example
A seller verifies a reported CRM installation before mentioning it in outreach.
Read: Qualification frameworks in practice
In Evergrowth · Agent Training Center
Signal-based selling uses relevant changes or behaviors to prioritize accounts and shape outreach. Fit, source quality and timing still need to be checked.
Example
A seller contacts a qualified company after finding a recent expansion announcement.
Read: IGEN account research story
In Evergrowth · Signal Based
A buying committee is the set of people involved in evaluating, approving or implementing a purchase. Roles can include a champion, budget owner, technical evaluator and procurement.
Example
A seller identifies both an operational sponsor and the person who approves spending.
Read: High-velocity and enterprise sales
In Evergrowth · Account Planning
A sales champion is a person inside a target organization who supports a solution and helps it progress internally. Interest alone does not establish influence or willingness to advocate.
Example
A sponsor helps the seller understand approval steps and introduce other stakeholders.
Read: Qualification frameworks in practice
In Evergrowth · Agent Training Center
Multi-threading means building relevant relationships with several stakeholders in an account. It reduces dependence on one relationship without requiring indiscriminate outreach.
Example
A seller works with the business sponsor and technical evaluator on the same opportunity.
Read: High-velocity and enterprise sales
In Evergrowth · Agent Training Center
DISC is a framework commonly used to describe behavioral and communication styles. A style inferred from public professional material is a hypothesis, not the result of a validated assessment. Sales teams should use it cautiously and adapt to the person's actual communication.
Example
A seller treats a suggested communication style as a tentative aid rather than a verified personality assessment.
Read: Qualification frameworks in practice
In Evergrowth · Accounts and Contacts
The Agent Training Center is Evergrowth's configuration surface for shared GTM intelligence. Relevant agents use its inputs to perform their tasks; this configures context and instructions rather than fine-tuning a foundation model.
Example
RevOps publishes a value proposition and defines ICP verticals and persona cards.
Read: Qualification frameworks in practice
In Evergrowth
Evergrowth stores value proposition, ICP verticals and persona cards here. Agents read the inputs relevant to their task; configuration is not model fine-tuning.
Agent Training Center
A value proposition explains the problem an offer addresses and why it matters to the buyer. In an AI application, structured positioning and supported outcomes can inform research and message drafting.
Example
An outreach draft connects a verified operational problem to the offer's relevant benefit.
Read: Qualification frameworks in practice
In Evergrowth · Agent Training Center
Institutional memory is knowledge retained by an organization beyond any individual's recollection. Shared records, decisions and documented processes help preserve it.
Example
A new seller can read the account's prior research and qualification reasoning.
Read: Qualification frameworks in practice
In Evergrowth · Agent Training Center
A data point records a fact; a signal is a fact or change interpreted as relevant to a sales decision. Time, source and the connection to a buyer problem determine whether a fact is useful as a signal.
Example
Company size describes an account. A new market launch may create a timely reason to investigate it.
Read: Qualification frameworks in practice
In Evergrowth · Agent Hub
The overall market demand a product could serve under stated assumptions. A target-account count is an account-level operational view of that market, rather than necessarily its revenue value.
Example
Define the geography and segment before counting eligible target companies.
Read: Qualification frameworks in practice
In Evergrowth · Playbooks
Data enrichment adds information to existing records from additional sources. New fields should be checked for identity match, provenance and freshness.
Example
A team adds a verified company website to accounts imported from a list.
Read: How contact data is changing
In Evergrowth · Email and phone waterfall
Waterfall enrichment queries data providers in a configured sequence until a usable result is found or the search ends. It can improve coverage across providers, but results still require verification. Billing and stopping rules depend on the service and workflow.
Example
A lookup tries another provider when the previous provider cannot return a usable result.
Read: How contact data is changing
In Evergrowth · Email and phone waterfall
Contact verification checks selected aspects of contact information, such as email status, phone validity or current employment. These checks answer different questions and may become stale. A verified address does not guarantee inbox placement, and a valid number does not guarantee that the intended person answers.
Example
A team distinguishes a verified email result from a catch-all result before sending.
Read: How contact data is changing
In Evergrowth · Email and phone waterfall
Email deliverability concerns whether sent messages reach recipients' inboxes. Address quality, authentication, sender reputation and sending behavior all affect it.
Example
A valid address can still receive a message in spam because of sender reputation.
Read: How contact data is changing
In Evergrowth · Email and phone waterfall
Email bounce rate is bounced messages divided by attempted sends for a defined period or campaign. Distinguish permanent failures from temporary delivery problems when interpreting it.
Example
5 bounces from 200 attempted sends give a 2.5% bounce rate.
Read: How contact data is changing
In Evergrowth · Email and phone waterfall
Data decay is the loss of accuracy or relevance as real-world facts change. The rate varies by field, source and audience, so a universal annual percentage is misleading.
Example
A saved contact record becomes outdated after the person changes employers.
Read: How contact data is changing
In Evergrowth · Email and phone waterfall
CRM hygiene is the ongoing work of keeping records accurate, consistent and usable. It includes deduplication, field normalization, ownership and correction of outdated information.
Example
RevOps merges duplicate accounts and repairs conflicting domain fields.
Read: Luzmo qualification story
In Evergrowth · Email and phone waterfall
A data vendor supplies information about companies, contacts or behavior. Coverage, collection methods, permitted uses and verification practices differ between vendors.
Example
A team compares providers using a defined geography and buyer-role sample.
Read: How contact data is changing
In Evergrowth · Email and phone waterfall
Credit-based pricing charges for units of product activity rather than, or alongside, user seats. A credit's meaning depends on the product's task costs and billing rules.
Example
A team estimates the credits needed for research runs before launching a campaign.
Read: How contact data is changing
In Evergrowth · Email and phone waterfall
A catch-all domain accepts mail addressed to many or all names at that domain. That behavior can make verification of an individual mailbox uncertain.
Example
A verifier reports a domain as accept-all without confirming that the named mailbox belongs to the contact.
Read: How contact data is changing
In Evergrowth · Email and phone waterfall
A direct dial is a phone number intended to reach a specific person rather than a general switchboard. A valid number does not guarantee an answer or interest in the offer.
Example
A seller checks the number's verification status before making a call.
Read: How contact data is changing
In Evergrowth · Email and phone waterfall
Contact research investigates a person's role, activity and relevant context. Contact enrichment adds or updates fields such as email, phone or employer; the tasks can complement each other.
Example
A seller uses a researched responsibility to frame a call placed to an enriched number.
Read: How contact data is changing
In Evergrowth · Contact Research
A domain or website finder identifies a likely company website from information such as its name and location. Entity matching matters because names, brands and subsidiaries can be ambiguous. Evergrowth calls this specialist the Website Finder.
Example
Website Finder resolves a company name to a website before account research begins.
Read: How contact data is changing
In Evergrowth · Website Finder
The record of where information came from, when it was obtained and how it was processed. Provenance helps teams verify a finding and decide whether it is suitable for use.
Example
A phone record identifies its data provider, verification provider and last checked date.
Read: How contact data is changing
In Evergrowth · Titanx Phone Intent
Determining whether records or references describe the same real-world company or person. Resolution uses identifiers and contextual evidence, while preserving distinct subsidiaries or people with similar names.
Example
Resolve a company name to the correct website before researching it.
Read: How contact data is changing
In Evergrowth · Vs Internal Build
Deduplication identifies repeated records. Merging consolidates selected duplicates into a primary record under defined rules. Potential duplicates still need handling that preserves valid differences and existing information.
Example
Review matching contacts before merging records that share an email address.
Read: Luzmo qualification story
In Evergrowth · Admin and permissions
A relationship connecting a parent company with subsidiaries or other related entities. Related accounts may remain separate records because ownership, buying groups and regional operations can differ.
Example
Keep a regional subsidiary linked to its parent without treating both as duplicate accounts.
Read: How contact data is changing
In Evergrowth · Admin and permissions
Lead scoring ranks leads using a defined combination of fit, behavior or engagement measures. A score supports prioritization and is not automatically a qualification verdict or conversion probability.
Example
A team ranks inbound leads using fit and recent product activity.
Read: Qualification and list building
In Evergrowth · Account Qualification
Account scoring assigns a numerical value to a company using defined criteria such as fit, activity or timing signals. The score's meaning depends on its inputs and calculation. A research signal score should not be interpreted as a probability of purchase or a qualification verdict.
Example
A team ranks qualified accounts by relevant research findings rather than treating the rank as a fit verdict.
Read: Qualification and list building
In Evergrowth · Account Qualification
Qualification can produce a decision, a numerical score or both, depending on the system. In Evergrowth, account fit is a verdict that shows its reason; the research signal score is a separate measure of positive configured signals.
Example
An account has ICP status Yes and a separate Signal Score of 75.
Read: Qualification and list building
In Evergrowth
In Evergrowth, ICP and IBP fit are verdicts that show their reason. The separate Signal Score summarizes research findings.
Account Qualification
A marketing qualified lead is a lead that meets an organization's agreed marketing criteria for sales follow-up. The criteria and handoff process differ between organizations.
Example
Marketing passes an ICP-fit demo request to sales under the agreed handoff rules.
A sales qualified lead is a lead sales has assessed against its agreed requirements for progressing a sales conversation. Public research alone may not establish budget, authority or an active purchase.
Example
A discovery conversation confirms a relevant problem and an agreed next step.
A product qualified lead is a user or account whose product behavior meets agreed criteria for sales attention. Usage signals need to be interpreted alongside account and buyer context.
Example
An account reaches a relevant usage milestone and asks about a team rollout.
An ideal buyer persona defines the roles and responsibilities relevant to an offer. In Evergrowth, IBP status is the contact-level persona-fit verdict, separate from the account's ICP status.
Example
A contact matches the target operational role even though the employer must be qualified separately.
Read: Luzmo qualification story
In Evergrowth · Account Qualification
BANT is a qualification framework covering Budget, Authority, Need and Timeline. It structures discovery, but evidence quality matters more than checking 4 boxes.
Example
A seller asks how the buyer funds the project and who approves it.
MEDDIC and MEDDPICC are sales qualification frameworks for understanding an opportunity. MEDDIC covers Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain and Champion; MEDDPICC also covers Paper Process and Competition.
Example
A seller records the approval process and validates the champion's influence during discovery.
Account qualification evaluates whether a company meets defined company-level criteria before sales effort is invested. Research supplies the evidence behind the verdict. Account fit differs from whether the company currently has a reason or intention to buy.
Example
A company fails a required geography criterion and receives a No verdict with a reason.
Read: Luzmo qualification story
In Evergrowth · Account Qualification
Contact qualification evaluates whether a person matches the buyer role needed for a defined account or segment. It may check current employer, responsibility, seniority and decision role. Passing qualification does not confirm a buying decision or replace human relationship knowledge.
Example
A contact's current employer and role are checked against the target persona.
Read: Luzmo qualification story
In Evergrowth · Contact Qualification
Disqualification criteria are conditions that exclude an account or contact from a defined sales motion. They express fit rules; suppression and consent controls serve different purposes.
Example
A service provider excludes accounts outside its supported jurisdictions.
Read: Qualification and list building
In Evergrowth · Account Qualification
A signal score summarizes relevant research findings for prioritizing accounts. Its formula depends on the system and should not be treated as a probability of buying.
Example
An account fits the ICP but has few positive timing signals, so fit and priority remain separate.
Read: how signal research works
In Evergrowth
In Evergrowth, Signal Score is the share of configured signal research with positive findings, shown from 0 to 100 for qualified accounts. It is separate from ICP fit.
Accounts and Contacts
A decision about whether an account or contact meets defined qualification criteria. A Yes says why it fits; a No names the criterion that failed.
Example
ICP fit is Yes, while contact persona fit is No: the role sits outside the target personas.
Read: Luzmo qualification story
In Evergrowth
Every Evergrowth verdict shows its reason and the evidence behind it.
Account Qualification
Personalization at scale adapts sales communication to relevant account or contact context across many recipients. Quality depends on evidence, message relevance and review, rather than the number of inserted fields.
Example
A team drafts account-specific call openers from verified research.
Read: A research-led calling playbook
In Evergrowth · Play Copywriting
A play defines a purposeful sales action or approach for a situation. A sequence organizes outreach steps and timing, often across channels. A play can supply personalized messages or talk tracks to a sequence; the terms describe different aspects of execution.
Example
A seller places a researched play into a sequence with agreed timing and channels.
Read: A research-led calling playbook
In Evergrowth · Play Copywriting
A sales cadence defines the timing and order of outreach activities. It should account for relevance, responses and stopping rules.
Example
A team plans a call and a follow-up email, stopping when the prospect replies.
Read: A research-led calling playbook
In Evergrowth · Play Copywriting
A cold email is outreach to someone without an established prior conversation. Relevance, lawful use of contact data and an appropriate opt-out process matter.
Example
A seller sends a concise introduction grounded in a verified business issue.
A warm introduction is an introduction through a shared relationship or trusted intermediary. It opens access but does not establish qualification or interest.
Example
A customer introduces a seller to an operations leader at another account.
A sales engagement platform helps organize and execute outreach activities, sequences and follow-up. Capabilities vary, and some products also include AI research or writing. Compare the actual workflow, integration and governance needs rather than assuming fixed category boundaries.
Example
A team exports reviewed plays to its existing sequencer for outreach execution.
Read: A research-led calling playbook
In Evergrowth · Play Copywriting
Play copywriting drafts the messaging or talk track for a sales action using relevant buyer and account context. A draft still needs checks for accuracy, tone and suitability.
Example
A seller reviews a research-backed opener before using it on a call.
Read: A research-led calling playbook
In Evergrowth · Play Copywriting
Context-driven outreach uses specific, relevant evidence to shape the substance of a message. Templates provide repeatable structure; a template can still carry well-researched context.
Example
A shared email structure contains a different verified operational reason for each account.
Read: A research-led calling playbook
In Evergrowth · Play Copywriting
Email warmup describes a gradual increase in sending activity intended to establish a sending pattern. It does not guarantee inbox placement, and artificial engagement is not a substitute for legitimate sending practices.
Example
A team introduces a new sending domain cautiously and monitors actual delivery outcomes.
Domain reputation is the assessment mail providers make of a sending domain using signals such as authentication, complaints and engagement. Reputation varies by provider and changes over time.
Example
A team monitors complaints and bounce patterns after changing its outreach volume.
Multi-channel outreach coordinates communication across channels such as email, phone and social platforms. Channel choice and stopping rules should fit the recipient and situation.
Example
A seller follows a useful call with a relevant email summary.
Read: A research-led calling playbook
In Evergrowth · Play Copywriting
A/B testing compares 2 defined variants using a consistent audience and outcome measure. Change 1 meaningful variable and allow enough observations to interpret the result.
Example
A team compares 2 openers using positive replies per delivered email.
Read: A research-led calling playbook
In Evergrowth · Play Copywriting
Outreach based on enduring account fit, buyer problems and relevant research rather than a recent event. An evergreen play can be useful without a strong timing signal, but still needs a clear reason for contacting that buyer.
Example
A call opener connects the company's business model to a relevant operational problem.
Read: IGEN account research story
In Evergrowth · Signal Based
Account research investigates a company's business, situation and relevant changes to support sales decisions. Findings should distinguish verified facts, inferences and unanswered questions.
Example
A brief cites a recent expansion announcement and explains its relevance to the offer.
Read: High-velocity and enterprise sales
In Evergrowth · Account Research
Pre-call research gathers the buyer and account context needed for a useful conversation. The preparation time depends on the motion, evidence available and complexity of the account.
Example
A seller reviews the buyer's responsibilities and the account's recent changes before dialing.
Read: High-velocity and enterprise sales
In Evergrowth · Account Research
Account planning organizes objectives, stakeholders, evidence and actions for a target account. A plan evolves as the seller learns from real conversations.
Example
A seller maps the buying group and identifies questions to validate in discovery.
Read: High-velocity and enterprise sales
In Evergrowth · Account Planning
Competitive intelligence gathers and interprets information about alternatives buyers may consider. Claims should be sourced, dated and distinguished from opinion.
Example
A team checks a competitor's published documentation before writing a comparison.
Read: High-velocity and enterprise sales
In Evergrowth · Account Research
Scheduled research refreshes selected account or contact information at recurring intervals. Its value depends on the audience, research questions and follow-up rules. A completed research run does not necessarily send a change alert or immediately detect every event.
Example
A research agent refreshes records in a saved view each week.
Read: High-velocity and enterprise sales
In Evergrowth · Scheduled Research
Voice roleplay is spoken practice in a simulated sales scenario. It helps rehearse responses, but the simulation is not evidence of how a real buyer will react.
Example
A seller practices an opener before calling a target account.
In Evergrowth · Voice Roleplay and Roleplay Coach
AI roleplay lets sellers rehearse a conversation with a simulated buyer. Scenarios can use buyer-role and account context. A separate evaluation process may assess the transcript against a rubric; simulation and coaching are distinct jobs.
Example
A simulated buyer challenges a seller's pitch, then a separate coach reviews the session.
In Evergrowth · Voice Roleplay and Roleplay Coach
AI sales coaching uses recorded or simulated work to provide feedback against a defined rubric. Feedback needs context and calibration, especially when used to assess people.
Example
A coach flags a missed discovery question in a roleplay transcript.
In Evergrowth · Voice Roleplay and Roleplay Coach
Buying committee mapping identifies the people and roles involved in an account's buying process. Suggested stakeholders should be validated through conversations.
Example
A seller checks who evaluates technical fit and who approves the contract.
Read: High-velocity and enterprise sales
In Evergrowth · Account Planning
Win/loss analysis investigates why opportunities were won, lost or ended without a decision. Buyer feedback and documented evidence help distinguish causes from seller assumptions.
Example
A team interviews buyers to understand which criteria influenced a decision.
A stakeholder map records relevant people, their roles, relationships and influence in an account. It is a working hypothesis that should be updated as the deal develops.
Example
A seller records a sponsor, technical evaluator and procurement contact.
Read: High-velocity and enterprise sales
In Evergrowth · Account Planning
Periodically checking whether important contacts remain in their roles and accounts. A detected move can identify relationship risk or a potential warm introduction, but requires review before acting.
Example
Re-check an open deal's champion and investigate a detected employer change.
Read: IGEN account research story
In Evergrowth
In Evergrowth, a job change is detected on the next configured re-check, rather than through an instant job-change alert.
Champion monitoring
A GTM engineer builds and maintains technical systems for revenue workflows. The role can combine integrations, data operations, automation and AI application design.
Example
A GTM engineer connects research outputs to CRM fields and workflow rules.
Read: How the revenue stack evolves
In Evergrowth · RevOps
Revenue operations aligns the processes, data and systems used by sales, marketing and customer teams. Responsibilities vary, but typically include measurement, integrations and operational consistency.
Example
RevOps defines qualification rules and checks the CRM handoff process.
Read: How the revenue stack evolves
In Evergrowth · RevOps
A go-to-market motion is the repeatable approach a business uses to acquire and serve customers. It can combine sales-led, product-led, partner or other channels.
Example
A business uses high-velocity sales for one segment and named-account selling for another.
Read: High-velocity and enterprise sales
In Evergrowth · Playbooks
A GTM stack is the collection of systems used across acquisition, sales and customer work. Its value depends on how the systems support the process and share usable information.
Example
A team connects its CRM, research workspace and outreach tools.
Read: How the revenue stack evolves
In Evergrowth · RevOps
A CRM integration exchanges information or actions between a CRM and another system. Supported objects, field mappings, permissions and sync direction define its actual scope.
Example
A research summary is written to a mapped account field while deal history is read inbound.
Read: How the revenue stack evolves
In Evergrowth · CRM integrations
Bi-directional sync transfers selected changes in both directions between systems. Actual coverage depends on supported objects, field mapping, timing, filters and conflict rules. Two-way integration does not mean every field is continuously mirrored.
Example
Account updates flow out while CRM changes are imported on the configured schedule.
Read: How the revenue stack evolves
In Evergrowth · CRM integrations
Lead routing assigns records to people or teams using defined ownership rules. Rules can depend on territory, account relationships, capacity or other criteria.
Example
A new qualified account is assigned to the owner for its region.
Read: How the revenue stack evolves
In Evergrowth · Admin and permissions
A sales and marketing service-level agreement defines responsibilities and expected handoff or response times. It should specify the audience, measurement and exceptions.
Example
Sales agrees to review qualified demo requests within a defined business-hours window.
Read: How the revenue stack evolves
In Evergrowth · RevOps
Attribution assigns credit for an outcome to preceding interactions under a chosen model. It helps analysis but does not establish that an interaction caused the outcome.
Example
A team compares first-touch and multi-touch views of a campaign's pipeline.
A GTM playbook documents a repeatable approach for a defined audience and situation. It can specify triggers, steps, ownership and success criteria.
Example
A recycling playbook refreshes dormant accounts before drafting relevant outreach.
Read: How the revenue stack evolves
In Evergrowth · RevOps
Pipeline velocity estimates expected revenue throughput as opportunity count multiplied by average deal value and win rate, divided by average sales cycle length. More eligible opportunities, higher value or win rate, or a shorter cycle increases the calculated velocity.
Example
10 opportunities at €10,000, a 20% win rate and a 40-day cycle imply €500 of expected revenue per day.
Closed-lost recycling revisits lost opportunities when conditions or timing change. It should preserve the original loss reason and check whether the account still fits.
Example
A seller revisits an account after the buyer's previously delayed project resumes.
Read: How the revenue stack evolves
In Evergrowth · Newbiz Recycling
Dormant account reactivation refreshes and re-engages accounts that have been inactive for a defined period. Inactivity rules should specify which activities and opportunity states count.
Example
A team re-researches fit accounts with no open opportunity and no recent logged activity.
Read: Luzmo qualification story
In Evergrowth · Newbiz Recycling
Backfill mode is a one-time catch-up process for records that already exist when a workflow or integration is introduced. It is separate from processing future changes.
Example
RevOps imports the existing CRM book before enabling ongoing sync.
Read: How the revenue stack evolves
In Evergrowth · CRM integrations
A sales approach organized around selected target accounts rather than isolated leads. Sellers build relevant relationships across the buying group and coordinate actions around each account's situation.
Example
An enterprise seller researches a named account and works with several stakeholders over a long buying cycle.
Read: High-velocity and enterprise sales
In Evergrowth · Enterprise Sales
A marketing approach that coordinates activity around a defined set of target accounts. Marketing and sales align on account selection, relevant messaging and how to measure engagement and progress.
Example
Marketing builds a campaign for a specific segment while sellers use the same account research.
Read: High-velocity and enterprise sales
In Evergrowth · Marketing
A sales motion designed to process many suitable accounts efficiently through comparatively short buying cycles. It depends on consistent qualification, prioritization and execution, rather than simply increasing message volume.
Example
A team works a fresh qualified-account audience each week using prepared call openers.
Read: High-velocity and enterprise sales
In Evergrowth · High Velocity Sales
Selling to organizations with complex requirements, multiple stakeholders and formal buying processes. Enterprise motions generally require deeper account planning and relationship work, but deal size and duration vary by market.
Example
A seller maps technical, commercial and procurement roles before agreeing next steps.
Read: High-velocity and enterprise sales
In Evergrowth · Enterprise Sales
A reusable set of filters defining which records belong to an audience. Membership changes as records change, so an automated run can select the current matches instead of reusing a fixed list.
Example
A recycling audience includes accounts with no open opportunity and no recent activity.
Read: How the revenue stack evolves
In Evergrowth · Accounts and Contacts
The event or schedule that starts an automated workflow. A manual launch, scheduled time and record entering an audience are different trigger types, each with its own timing and prerequisites.
Example
An inbound record starts a qualification workflow after ingestion and audience matching.
Read: How the revenue stack evolves
In Evergrowth · Workflows
A target used to stop starting further work in a workflow. A goal differs from a strict spending or output cap because tasks already in progress may finish after the target is reached.
Example
Stop adding new accounts once the qualified-account goal is reached; let in-flight records finish.
Read: How the revenue stack evolves
In Evergrowth · Workflows
Evergrowth's surface for finding, creating and managing configured agents. It is distinct from the Agent Training Center, which holds shared GTM intelligence, and from workflows, which coordinate execution.
Example
RevOps manages a research agent, then includes it in a scheduled workflow.
Read: How the revenue stack evolves
In Evergrowth
Configured agent instances are different from the specialist agent types in the catalog.
Agent Hub
A processing option affecting priority or latency, separate from reasoning effort. Faster execution may carry a different cost and does not itself mean deeper research or more accurate output.
Example
Prioritize an urgent inbound run while keeping its research effort unchanged.
Read: How the revenue stack evolves
In Evergrowth · Orchestration
A rule or record state excluding an account or contact from specified processing or outreach. Suppression differs from failed qualification, unsubscribing and deleting a record; its scope must be explicit.
Example
An opted-out contact is excluded from future outreach rather than merely scored as poor fit.
Read: How the revenue stack evolves
In Evergrowth · Admin and permissions
Matching fields between connected systems and specifying their permitted directions and transformations. A mapping defines where a value belongs; it does not automatically make every field bidirectional.
Example
Map a research answer to an account field while keeping opportunity data read-only.
Read: How the revenue stack evolves
In Evergrowth · CRM integrations
Write-back sends changes to a connected CRM. Sync status indicates whether an operation was queued, accepted, saved or failed; sending a request alone does not prove that the destination stored the value.
Example
A rep checks the per-record sync result after a research field is updated.
Read: How the revenue stack evolves
In Evergrowth · CRM integrations
Eligible target accounts outside the team's current CRM coverage or active selling work. The meaning of whitespace should state whether it refers to missing companies, unworked accounts or expansion opportunities.
Example
Identify qualified companies in a target region that are not yet represented in the CRM.
Read: How the revenue stack evolves
In Evergrowth · New-business gap
The organizational work that makes AI-supported workflows part of normal team practice. Adoption involves clear ownership, training, routines and feedback, and is better measured by useful work than by logins alone.
Example
Managers review how reps use research in real calls, then refine training and workflows.
In Evergrowth · Sales enablement
Metric examples are illustrative arithmetic, not industry benchmarks. Define the cohort, denominator and period before comparing results.
Annual recurring revenue is recurring subscription revenue normalized to a year under a defined accounting convention. One-time services and usage revenue may be treated differently, so state the basis.
Example
A €1,000 monthly recurring subscription contributes €12,000 annualized recurring revenue.
A funnel conversion rate is records reaching the next defined stage divided by records entering the measured stage. Use a consistent cohort and time window.
Example
10 qualified opportunities from 100 reviewed leads give a 10% conversion rate for that step.
Meeting booked rate measures bookings against a stated denominator, such as contacted people or attempted outreach. Booked meetings and held meetings are different outcomes.
Example
8 bookings from 200 contacted people give a 4% booked rate for that cohort.
Time-to-pipeline is elapsed time from a defined starting event to creation of qualified pipeline. Specify what starts the clock and what counts as pipeline.
Example
A team measures days from campaign launch to its first accepted opportunity.
Read: A team workflow in practice
In Evergrowth · Luzmo
Quota attainment is achieved performance divided by the assigned target for a defined period. Compare like-for-like targets and cohorts when evaluating it.
Example
A seller closes €80,000 against a €100,000 quarterly target, giving 80% attainment.
Annual contract value is a contract's value normalized to a year under a defined convention. State whether it includes recurring revenue, one-time fees or usage charges.
Example
A 3-year recurring contract worth €90,000 has €30,000 ACV before any separate fees.
LTV/CAC compares estimated customer lifetime value with customer acquisition cost. Define the margin basis, cohort and cost allocation; a universal target ratio is not reliable across businesses.
Example
A team compares gross-margin-adjusted lifetime value with fully allocated acquisition costs.
Pipeline coverage is pipeline value divided by the remaining or total target for a defined period. Coverage needs to be interpreted with stage quality, win rate and expected close dates.
Example
€600,000 of eligible pipeline against a €200,000 target gives 3x coverage.
Reply rate is responses divided by a stated outreach denominator for a defined cohort. Distinguish all replies from positive replies and use a consistent treatment of bounces.
Example
6 positive replies from 150 delivered emails give a 4% positive reply rate.
Cost per meeting is attributable spend divided by meetings booked or held, using a stated basis. Include the relevant tools, labor and campaign costs when comparing approaches.
Example
A €1,000 campaign producing 10 held meetings has a €100 cost per held meeting.
Rep productivity measures useful sales output against time or resources. Define the output and consider quality and downstream outcomes, rather than treating activity volume as performance.
Example
A team tracks qualified conversations per seller-hour alongside opportunity creation.
Read: A team workflow in practice
In Evergrowth · Sales Reps
Ramp time is the period a new seller takes to reach a defined level of proficiency or performance. The starting event, target and cohort should be explicit.
Example
A team measures days from joining to handling discovery independently under its rubric.
In Evergrowth · Sales enablement
Credit usage measures billed activity within a product's credit system. Credit economics connects task costs to workflow volume and useful outcomes, with success billing and limits interpreted under the product's rules.
Example
RevOps estimates a campaign's research credits separately from contact lookup charges.
Read: A team workflow in practice
In Evergrowth · Pricing
A configuration controlling how much reasoning or research an AI task performs. Effort differs from processing priority and should be chosen for the task's complexity, rather than treated as a certainty of accuracy.
Example
Use greater effort for an ambiguous qualification criterion, then inspect evidence.
Read: A team workflow in practice
In Evergrowth · Orchestration
Controls and reporting that allocate, monitor or limit usage across people and teams. Per-user limits, workflow goals and a workspace balance are different controls and should not be described interchangeably.
Example
RevOps sets a weekly allowance for a team and reviews consumption by agent.
Read: A team workflow in practice
In Evergrowth · Admin and permissions
The share of a defined target-account universe represented in the CRM. Count unique eligible accounts in both the numerator and denominator, and state the geography, segment and date used.
Example
Coverage equals unique in-scope CRM accounts divided by all in-scope target accounts.
Read: A team workflow in practice
In Evergrowth · Playbooks
Automation performs tasks with limited manual execution. Augmentation helps people do their work, including through automated preparation. A team can automate research while keeping sellers responsible for review and conversations. Neither pattern alone determines output quality.
Example
Research runs automatically while a seller reviews the output and leads the buyer conversation.
Read: The future of GTM software
In Evergrowth · Workspace overview
A workspace brings related tasks and records into a shared environment. A point solution focuses on a narrower job; either can be appropriate depending on process and integration needs.
Example
A team uses a shared research workspace alongside a specialist sending tool.
Read: The future of GTM software
In Evergrowth · Workspace overview
Data-driven work uses observed facts to inform decisions. Context-driven work connects those facts to the situation, objectives and relationships; the approaches can complement each other.
Example
A company-size field helps segmentation, while a sourced expansion event shapes a conversation.
Read: The future of GTM software
In Evergrowth · Workspace overview
A system of context is a framing for software that preserves relevant information and reasoning around records so people or agents can act with understanding. Evergrowth uses this phrase for shared GTM intelligence and accumulated account and contact research.
Example
A seller reads the account's research and reasoning alongside its CRM fields.
Read: The future of GTM software
In Evergrowth · Workspace overview
The GTM spreadsheet model organizes records as rows and data or actions as columns. Collaboration, permissions and maintainability depend on the implementation rather than the spreadsheet format alone.
Example
An operator builds an enrichment table with documented logic and shared ownership.
Read: The future of GTM software
In Evergrowth · Workspace overview
A single-operator bottleneck occurs when essential work depends on 1 person's access, knowledge or capacity. Documentation, reusable workflows and shared ownership can reduce this risk in any tool.
Example
A second operator can maintain a workflow after its setup and dependencies are documented.
Read: The future of GTM software
In Evergrowth · Workspace overview
A sales intelligence platform provides company or contact information to support prospecting and preparation. Products vary in research, discovery, enrichment and execution capabilities.
Example
A team checks the platform's coverage for its specific region and buyer roles.
Read: The future of GTM software
In Evergrowth · Workspace overview
Conversational intelligence analyzes recorded interactions to support coaching, review or operational insight. Transcript accuracy, consent and evaluation context affect how findings should be used.
Example
A manager reviews a transcript excerpt alongside the actual call before giving feedback.
Revenue intelligence combines information about opportunities and customer interactions to support pipeline analysis and forecasting. Insight quality depends on data completeness and the chosen methods.
Example
A manager reviews deal-stage changes together with logged engagement history.