Key Concepts
Goava Score
The Goava Score is a relevance score assigned to every company in a segment based on how well it matches your Ideal Customer Profile. It’s calculated by analyzing multiple dimensions — industry, revenue, employee count, geography, company type, and technographics — weighted by how strongly each factor correlates with your best customers.
Higher scores mean a better match to your ICP. The score updates dynamically as your ICP is refined or company data changes.
- Building an Ideal Customer Profile — How ICPs drive the Goava Score
- ICP Profile Detail — See how each dimension contributes
Ideal Customer Profile (ICP)
An ICP is a statistical model that Goava builds by analyzing your existing customers. You provide one or more lists of companies that represent your ideal customer, and Goava identifies patterns across geography, company type, revenue, employee size, industry, and technology usage.
You can create multiple ICPs for different market segments (e.g., enterprise vs. SMB, or different industries). Each segment is linked to one ICP for scoring.
- Building an Ideal Customer Profile — Step-by-step guide
Segments
Segments are filtered, scored views of Goava’s database of millions of Nordic companies. Each segment applies an ICP to rank companies, and you can add filters for revenue, employees, location, and more.
Think of segments as smart prospect lists that are always up to date — as new companies match your criteria, they appear in your segment.
- Prospecting with Segments — How to use segments
Lists
Lists are manually or automatically curated collections of companies. Unlike segments, lists are static — companies don’t appear or disappear automatically. You control what goes in and what comes out.
Lists are used for:
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Organizing pipeline stages
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Providing source data for ICPs
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Tracking qualified and ignored prospects
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Setting up automations (Prospecting Agent, Research Agent)
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Managing Lists — Creating and organizing lists
AI Credits
AI Credits are a usage-based currency that powers Goava’s AI features — the Prospecting Agent, Research Agent, and AI-generated company analysis. Credits are consumed when the AI analyzes a company, regardless of whether that company qualifies.
Your remaining credits are shown in Settings > Prospecting Agent. Each agent can be configured with a maximum credit spend per prospect.
- Setting Up the Prospecting Agent — Configure credit usage
Prospecting Agent
The Prospecting Agent is an AI assistant that autonomously discovers and evaluates prospects. It runs on a schedule (e.g., daily), analyzes companies in your chosen segment using your ICP, and routes qualified prospects to a designated list while filing rejected ones elsewhere.
- Setting Up the Prospecting Agent — Setup guide
- Prospecting Agent Reference — Configuration details
Qualify and Ignore
Qualify and Ignore are the two triage actions you perform on prospects in Dashboard view. Qualify marks a company as a good fit (optionally triggering a list action), while Ignore marks it as not a fit. This keeps your segment view focused on untriaged companies.
- Qualifying & Ignoring Prospects — Triage workflow