Overview
Agentive Profile
PICK· ENRICH· ENGAGE With Agentive’s browser extension for LinkedIn you can: Select a LinkedIn contact directly in your browser with one click. Add them instantly into your Agentive Buyer-Group workflow. Enrich that contact with full psychographic insight + verified email and other trigger-ready contact data—all in real time. Engage with precision: each contact is tagged with a DISC-style personality profile so your outreach speaks their language—from Commander to Harmonizer, Driver to Storyteller. Every connection becomes a high-signal, high-intent buyer-persona—ready for tailored sequences, social touches, and pipeline acceleration. About Agentive Agentive is your intelligent revenue engine, designed to turn browser-based research and LinkedIn activity into structured, psychographic-driven buyer intelligence. Forget static lists: Agentive transforms raw profiles into enriched, actionable contacts embedded with behavioral insights, email/contact data, DISC sub-personality tags and custom outreach prompts. Whether you’re sourcing key decision-makers, building buyer committees or orchestrating multi-touch campaigns, Agentive gives you the data, the profile and the messaging layer needed to engage the right person, with the right tone, at the right time.
Details
- Version1.5.0
- UpdatedJune 17, 2026
- Offered byBeagentive
- Size30.06KiB
- LanguagesEnglish (United States)
- DeveloperAgentive Inc.
19630 Canon Drive Los Gatos, CA 95030 USEmail
devops@beagentive.comPhone
+92 333 4468843 - TraderThis developer has identified itself as a trader per the definition from the European Union and committed to only offer products or services that comply with EU laws.
- D-U-N-S144887357
Privacy
Agentive Profile has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.
Agentive Profile handles the following:
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes
