Find the LinkedIn engagers who fit your market.
Panda compares enriched leads against the ICPs your team defines. Instead of treating every liker the same, it tags and scores the people whose title, company, and market context match your target customer.
Starts from $10. Credits never expire.
Use Linked Panda to qualify LinkedIn post engagers against your ICP
Linked Panda helps B2B teams turn LinkedIn likes and comments into qualified leads. Add the LinkedIn profiles your buyers follow, enrich the people engaging with their posts, then score each lead against your ICP using title, company, industry, size, location, and buying-fit signals.
Want to see it on your market? Send us 3 LinkedIn profiles your ideal buyers follow and we'll show a sample lead drop.
Send 3 source profilesFrom LinkedIn signal to sales action.
Define your ICP
Describe the target segment your team wants to reach, from role and company traits to market context.
Score enriched profiles
Panda evaluates new leads against active ICPs and writes a clear match score.
Work the best matches first
Leads appear with ICP chips and scores so sales can filter, export, and prioritize quickly.
Built for teams that need pipeline, not vanity metrics.
Protect rep time
A high engagement count is not enough. ICP scoring helps reps spend time on people who look like real buyers.
Support multiple motions
Teams can qualify the same engagement stream against different ICPs for founders, sales leaders, RevOps, or growth teams.
Make handoff explainable
Scores and ICP tags give RevOps a cleaner reason for why a lead was routed, exported, or held back.
A lead record your team can use.
The feature pages stay close to the actual product shape: tracked LinkedIn engagement, enriched lead records, ICP scores, and export-ready context.
Questions sales teams ask before using ICP scoring.
Can Linked Panda qualify people who liked a LinkedIn post?
Yes. Linked Panda can qualify people who liked a tracked LinkedIn post by enriching the profile, checking company context, and scoring the lead against your ICP.
Can I score LinkedIn engagers against my ICP?
Yes. Panda scores LinkedIn engagers against the ICPs your team defines using role, company, industry, size, location, and buying-fit signals.
How do I find qualified leads from LinkedIn reactions?
Start with posts from profiles your buyers follow, capture the people who like or comment, enrich those profiles, then filter by ICP score and email status.
Can Linked Panda enrich LinkedIn post engagers with work emails?
Yes. When a verified work email is available, Panda adds it to the engager record along with role, company, and firmographic context.
Can I use LinkedIn engagement to find B2B leads?
Yes. LinkedIn likes and comments can become a B2B lead source when they are tied to relevant posts, enriched with business data, and scored for ICP fit.
Can one lead match more than one ICP?
Yes. Panda supports multiple ICP matches, so a lead can be tagged for more than one motion when the data supports it.
Does scoring replace human review?
No. Scoring is a prioritization layer. It helps your team review the best-fit leads first and avoid treating all engagement equally.
Can inactive ICPs affect new leads?
No. Only active ICPs should be used for new-lead qualification.
The rest of the Panda workflow.
LinkedIn listening
Track LinkedIn likes and comments on posts from the profiles that matter, then turn fresh engagement into qualified B2B leads.
Learn moreLead enrichment
Enrich LinkedIn engagers with verified work emails, job titles, company details, and firmographics before they reach sales.
Learn moreCRM export
Send qualified LinkedIn engagement leads to CRM, outbound, spreadsheets, or CSV with enrichment and ICP context attached.
Learn moreMCP
Connect ChatGPT, Claude, Cursor, and other MCP clients to Linked Panda so AI can find qualified LinkedIn engagement leads, inspect workspace context, and update profiles or ICPs with permission controls.
Learn moreStart turning signals into pipeline.
Capture profiles, verify emails where available, and prove the channel before committing to a plan.
Your first payment gets 3× credits. One-time welcome bonus — top-up or plan, either works.