Social Engagement to Multi-Channel Retargeting
Turn social media engagement into coordinated multi-channel follow-up across email, LinkedIn, and ads within 24 hours of prospect interaction.
Prospect engages with your content on any social platform (like, comment, share, view)
Engaged prospects receive coordinated follow-up across email, LinkedIn, and ads within 24 hours
How it works
Track Social Engagement
Track engagement across LinkedIn, X, and YouTube from target accounts
Social ScrapingMatch and Enrich Profiles
Match social profiles to CRM contacts and enrich missing data
Data EnrichmentScore Engagement Intensity
Score engagement intensity: comment > share > like > view
Lead GenerationAI Content Selection
AI selects the most relevant content or offer based on what they engaged with
Agentic GTM OpsLaunch Coordinated Retargeting
Launch coordinated retargeting: personalized email + LinkedIn message + ad audience
SDR OperationsTrack Cross-Channel Attribution
Track cross-channel attribution to see which combination converts
AnalyticsThe Problem with Single-Channel Retargeting
Retargeting isn’t just ads. When someone comments on your LinkedIn post about data quality challenges, they’ve told you exactly what they care about. Running a generic display ad three days later wastes that context. The prospect needs to hear from you across every relevant channel within 24 hours while the conversation is still fresh in their mind.
Most teams treat social engagement as a vanity metric. They count likes and shares in a monthly report and move on. Meanwhile, actual buying signals are sitting there ignored because nobody built the bridge between social engagement data and outbound execution.
How This Automation Connects the Dots
The first step monitors engagement across LinkedIn, X, and YouTube specifically from accounts on your target list. Not all engagement matters equally. A random person liking your post is noise. A VP of Engineering at a target account commenting on your technical post is a signal worth acting on.
Once engagement is detected, the automation matches social profiles to existing CRM contacts through Social Management and enriches any gaps. Maybe you have the person’s email but didn’t know their LinkedIn. Maybe they’re a new contact at a known account. The enrichment step fills in the picture.
Engagement gets scored on a clear hierarchy: a thoughtful comment outranks a share, which outranks a like, which outranks a view. Someone who wrote “we’re dealing with this exact problem” on your post is worth more attention than someone who clicked the thumbs-up button.
Personalized Multi-Channel Execution
AI then selects the right follow-up content based on what triggered the engagement. If they interacted with a post about CRM data decay, they get a case study about data quality improvements, not your generic product overview. The content matches the interest they already expressed.
The outbound sequence through SDR Operations hits three channels in coordination: a personalized email referencing what they engaged with, a LinkedIn connection request or message from the assigned SDR, and addition to a relevant ad audience for ongoing awareness. The timing is staggered so it feels natural rather than overwhelming.
Measuring What Works
The final piece is cross-channel attribution through Analytics. You need to know which combination of channels actually converts. Maybe prospects who get the LinkedIn message first convert at 2x the rate of email-first. Maybe adding the ad layer doesn’t move the needle at all for your audience. Without tracking this, you’re guessing at the right mix.
The key insight here is speed. Social engagement has a half-life measured in hours, not days. A comment someone left on Monday morning is cold by Wednesday. This automation compresses the response time from “whenever the SDR checks social” to under 24 hours, with personalization that actually references the original interaction.
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See this automation in action
Book a 20-minute demo and we'll walk through this automation with your actual data.