Once your onboarding is complete and your Signal Agents are running, the next step is analyzing the first incoming leads. This is a critical stage because it determines whether your targeting and signals are working correctly.
đ„ Where Your Leads Appear
You can find new leads in several places:
Contacts section â all incoming leads from your agents
Lists â leads are automatically added to your selected list
Campaigns â leads also appear inside active or auto-generated campaigns
This means the same lead can be visible across different parts of the system depending on where you work.
đ€ What Each Lead Contains
Each contact includes key information:
Name
Job title / role
Company
Signal that triggered the discovery
AI lead score (1â3 flames đ„)
Enrichment data (like email address)
Import date and assigned list
You can also expand a lead to see:
company description
LinkedIn profile
campaign steps (if auto-created during onboarding)
industry and company size
đ„ AI Lead Scoring (1 to 3 Flames)
GojiBerry assigns every lead a score from 1 to 3 flames.
Important: all leads are still qualified â none are âbad.â
How scoring works:
The AI score is based on:
ICP match (how well the lead fits your ideal customer profile)
intent signals (job changes, engagement, activity, etc.)
What the flames mean:
đ„ 1 flame â relevant lead
đ„đ„ 2 flames â strong match
đ„đ„đ„ 3 flames â highest priority
đ The system always prioritizes higher-scoring leads first in your campaigns.
âïž Lead Actions You Can Take
When reviewing leads, you have several options:
1. Keep the lead
If it fits your ICP â do nothing, it stays in your pipeline.
2. Remove from campaign (Feed control)
You can mark a lead as not relevant:
removes it from campaign
removes it from list
This is useful for quick filtering without deleting data.
3. Delete leads
If leads are completely irrelevant, you can delete them in bulk.
4. Move to another list
You can create a separate list like:
âNot sureâ
âPrevious leadsâ
âTesting segmentâ
This helps keep your pipeline clean.
5. Mark as out of scope
If a specific lead is irrelevant:
it is excluded from future targeting
the system learns what not to include
đ§ How Feedback Improves Your Agent
When you start removing or filtering leads, you are effectively training the system.
You can:
switch to higher precision mode if there is too much noise
adjust job titles (e.g. remove âAccount Executiveâ)
change industries or targeting rules
refine your ICP (e.g. focus only on founders, heads of sales, etc.)
đ The agent will then adjust future searches based on your updates.
âł Important: Updates Take Time
After you change settings:
agents do NOT restart instantly
new lead batches may appear every few hours
the system needs time to reprocess signals
So after adjustments, you should wait before judging results.
đ Final Step: Validate Your ICP
Before launching campaigns, ask yourself:
Do these leads match my ideal customer profile?
Are job titles relevant to what I sell?
Are signals showing real intent?
If yes â youâre ready to scale campaigns.
If not â refine and let the agent rerun.
đŻ Key Takeaway
Lead analysis is not just filtering â itâs training your system.
The more you refine your leads, the smarter your Signal Agents become, and the higher quality your pipeline will be over time.