Skip to Content
GuidesProspecting with Segments

Prospecting with Segments

Use segments to discover and qualify new prospects from Goava’s database of millions of Nordic companies.

When to use this

  • It’s Monday morning and you need this week’s outreach list. Open your segment, sort by Goava Score, and triage the top 30-50 companies. That’s your week.
  • You just finished a campaign and need fresh prospects. Rather than scrolling through the same accounts, create a new segment with different filters (e.g., a specific industry or revenue band) to get a batch of net-new companies to work.
  • You’re testing a new vertical. Build a segment with filters that match the vertical (e.g., “Fintech in Sweden with 50-200 employees”) and see how many qualified prospects exist before investing in the motion.
  • A teammate told you “this segment worked great for them.” Segments are shared across your workspace. You can jump into someone else’s segment and immediately start working prospects without redoing their filter work.

Before you begin

Steps

  1. Navigate to Discover in the left sidebar, or click Continue prospecting on the Dashboard.
  2. Select a segment from the sidebar (e.g., Auto Segment), or click the + button to create a new one.
  3. To create a segment from an ICP, go to your ICP page and click Create segment with this profile. Goava will auto-generate recommended filters for you.
  4. Once in a segment, use the toolbar to switch between Dashboard and List views:
    • Dashboard view shows detailed company cards with tabs for overview, news, financials, and more.
    • List view shows a sortable table with company name, location, website, employees, and revenue.
  5. Use the sort order dropdown to sort by Alphabetical, Revenue, Employees, or Goava Score.
  6. Use the filter bar at the top to narrow results by revenue range, employee count, location, and other criteria.
  7. For each prospect, click Qualify to mark it as a good fit, or Ignore to remove it from view.

Tip: The Goava Score next to each company indicates how closely it matches your ICP. Higher scores mean better fit.

Last updated on
OverviewBuilding an Ideal Customer Profile