AI Agent for Customer Retention — Built for LinkedIn
Automate Customer Retention for teams using LinkedIn. Arahi AI agents handle the workflow end-to-end — no code, set up in minutes.
47 dormant accounts surfaced. First save attempt:
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the trigger event and pull the contact's context
- 2Draft the message in your team's voice
- 3Cite each personalized line's source
- 4Queue for your review or auto-send by confidence
Get started in three steps
Connect LinkedIn
Authorize LinkedIn and Arahi AI syncs your lists, campaigns, and analytics data in minutes.
Build Campaign Automation
Create AI-driven workflows triggered by LinkedIn events — new subscribers, email opens, or campaign milestones.
Optimize & Measure
AI continuously optimizes your LinkedIn campaigns while tracking engagement, conversions, and ROI.
Quick check — anything in the way?
Noticed Harbor Labs hasn't logged into Arahi since Feb 22. Usually that means one of three things: it's working so well you forgot, you got busy, or something's broken.
Personalized using LinkedIn activity from the last 30 days.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Marco11:42 AM
Approved the draft to liam.fischer@harborlabs.co.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: Use @LinkedIn to spot accounts in @HubSpot that haven't logged in for 21 days, d
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
The customer retention agent scales automatically as your LinkedIn activity grows. Whether you process 10 or 10,000 customer retention tasks per day from LinkedIn, the AI handles the volume without slowdowns or additional configuration.
All data exchanged between LinkedIn and Arahi AI during customer retention processing is encrypted in transit and at rest. We use OAuth tokens for LinkedIn access, never store raw credentials, and maintain full audit logs of every customer retention action.
Yes. You define exactly which LinkedIn events start customer retention workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so customer retention actions only fire when your specific criteria are met in LinkedIn.
Yes. You can create parallel customer retention workflows that respond to different LinkedIn events or conditions. For example, one customer retention flow for new LinkedIn records and another for updated ones — each with independent rules and actions.
The agent monitors usage, support interactions, payment patterns, and the engagement signals that historically precede churn in linkedin. At-risk accounts surface to your CS team with the specific risk factors and recommended interventions.
Yes. The agent triggers personalized win-back sequences when risk signals fire — different content and incentives by customer segment and risk type. linkedin businesses typically recover a meaningful fraction of accounts that would otherwise have churned silently.
When the AI hits an edge case during customer retention processing in LinkedIn, it escalates to your team with full context — the LinkedIn record, what was attempted, and why it needs review. Your customer retention pipeline never stalls or loses data.
The dashboard shows customer retention-specific metrics for your LinkedIn integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how LinkedIn-triggered customer retention workflows perform over time.
No coding required. The no-code builder walks you through connecting LinkedIn and configuring customer retention rules visually. Your team can set up, modify, and manage LinkedIn-based customer retention workflows without any developer involvement.
Manual customer retention in LinkedIn requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling customer retention tasks in real-time as LinkedIn events occur — running 24/7 with consistent accuracy and zero fatigue.
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