Autonomous marketing in action glossary
This glossary is based on the How AI Maturity Levels Transform Your Marketing Work Week webinar, published on the AI Lab by ActiveCampaign.
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This is a scannable glossary of the AI and ActiveCampaign terms used in this webinar. Use it as a quick reference while you watch or while you work through the guides.
AI terms
AI agent:
- An AI system that makes context-aware decisions on your behalf rather than running a fixed set of rules. Why it matters: agents are what turn a static “if this then that” automation into a workflow that can judge whether a news story is on-topic or whether a prospect fits your ICP.
Autonomous marketing:
- Marketing workflows where AI agents handle judgment-based steps end to end, with a human reviewing the output rather than doing the work. Why it matters: this is the through-line of the webinar; both Amanda and Maddy framed their builds as autonomous, not automated, because intelligence sits at the decision points.
CustomGPT:
- A configurable version of ChatGPT that you train with your own instructions, knowledge files, and triggers, then re-use as a single-purpose assistant. Why it matters: Amanda runs five of them (referral scout, follow-up writer, scheduler, activity tracker, best-prospects analyzer), each scoped to one job.
Determinism:
- Whether a workflow returns the same output for the same input every time. Why it matters: Maddy rebuilt her news agent in n8n specifically to get more deterministic formatting than Zapier’s natural-language steps gave her.
Human in the loop:
- A workflow pattern where AI does the drafting and a person reviews, edits, and approves before anything ships. Why it matters: every successful workflow in the webinar kept a human approver between the agent and the audience, and both presenters called it the safeguard that lets them trust the output.
Ideal customer profile (ICP):
- A written description of the kind of company and contact you sell to, used as the relevance rubric for prospect scoring. Why it matters: Amanda’s referral scout uses her ICP to rank a contact’s connections; without a documented profile, the agent has no basis for the ranking.
Knowledge base:
- The reference documents (style guides, email libraries, ICP descriptions) that you load into a CustomGPT or AI agent so it has context to draw from. Why it matters: Amanda loads her 10–15 best emails as a knowledge base for the follow-up GPT; the drafts inherit her voice because the source material does.
Vibe coding:
- Describing what you want in plain English and having an AI generate the code, with no programming background required. Why it matters: Amanda’s activity tracker runs on a Google Apps Script that ChatGPT wrote for her; she described the behavior, the model wrote and placed the code.
ActiveCampaign terms
Automations:
- ActiveCampaign’s visual workflow builder for triggered, multi-step sequences across email, CRM, and the rest of your stack. Where it lives: Automations menu.
Contact scoring:
- A point-based system that ranks contacts by behavior, profile fit, or engagement so your team focuses on the warmest leads first. Where it lives: Contacts → Manage Scoring.
Custom fields:
- User-defined fields that attach to contacts and let you store the kind of attributes the presenters’ agents reason against, like industry, seniority, last-touch date, or ICP fit. Where it lives: Contacts → Fields.
Tags:
- Lightweight labels you attach to contacts to capture context that doesn’t justify its own custom field, like “Referred by Maddy” or “Approved for outreach.” Where it lives: Contacts → Tags.
Segments:
- Saved groups of contacts that match a set of conditions, refreshed automatically as people qualify or drop out. Where it lives: Contacts → Segments.
Related
More data from the AI Lab.