In Gojiberry, campaigns operate as a fully integrated, three-step automated loop that acts as your AI sales development team. đ
Instead of scraping a massive list of cold, random contacts, it uses an intent-first model.
The exact mechanics of how a Gojiberry campaign functions from start to finish are outlined below:
Step 1: The Setup (Defining Your Target)
You start by configuring your campaign settings via two core criteria:
The ICP Filter: You set up your Ideal Customer Profile by picking specific job titles, industries, company sizes, and target locations. The AI agent uses this framework as a strict scoring filter.
The Intent Triggers: You select from 30+ live behavioral "signals" you want to monitor. This includes things like individuals visiting your profile, users following your company page, prospects engaging with specific industry keywords, or contacts interacting with competitor profiles.
Step 2: Continuous Sourcing & Verification (The "Radar")
Once launched, the campaign runs seamlessly in the background:
24/7 Scanning: The AI agent actively monitors LinkedIn and the wider web for those specified real-time triggers.
Scoring & Validation: The moment a user fires off a signal, the system pulls their profile and cross-checks it against your ICP filters. If it's a tight match, they are scored and approved.
Step 3: Automated Outreach Execution
After a lead is validated, the active execution phase begins:
Contextual Messaging: The platform writes a personalized message or connection request tailored exactly to the "trigger event" that surfaced the prospect, your Outreach Agent runs approximately 3 to 4 times per day
Account Automation: These messages are sent directly from your connected LinkedIn profile or email mailbox.
Drip Sequences: If a prospect accepts the request but doesn't immediately respond, the campaign automatically executes your pre-scheduled multi-channel follow-up steps.
Step 4: The Feedback Loop (The "Brain")
As your campaign progresses, if a lead isn't a good fit, you can reject them directly from your dashboard, this removes the contact from the campaign and queue. While this doesn't currently train the AI automatically, it's a great way to review your results and identify patterns in the leads that aren't a good match.
A common approach is to filter the leads you rejected, export them, and analyze them with an AI tool to identify recurring characteristics or keywords. You can then use those insights to refine your ICP, for example, by adding Keywords to Exclude, adjusting Mandatory Keywords, or updating your targeting criteria to improve future lead quality.
We're actively working on making this process much smarter, with plans to automatically learn from these signals in the future. For now, a small amount of human review helps ensure your Source Agent becomes more accurate over time.
You can check this video for more details :
The UI of Gojiberry was recently updated, so while the information of the video is correct, you might see some differences in the UI