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Enterprise Layer Intelligence
Categories/Sales Enablement/FeedStock
FeedStock

FeedStock

Founded 2015

Capture client interactions automatically and track relationship engagement to close more deals

Pricing model

Demo

You can use FeedStock to automatically capture business interactions and monitor relationship health across your client base. It tracks emails, meetings, and research interactions without requiring manual data entry from sales reps. By analyzing interaction frequency and engagement patterns, it flags when prospective clients begin losing interest and highlights leads ready to close. Financial firms can also track research consumption to stay compliant with MiFID II regulations, ensuring full visibility into research spending, client engagement, and sales opportunities across every account.

What FeedStock does

Capture client communications directly into relationship databasesFlag accounts with dropping interaction frequenciesMonitor enterprise research consumption for regulatory complianceGenerate relationship health reports for executive reviewIdentify warm introduction paths through internal company connectionsTrack meeting volume and follow-ups across enterprise accountsCalculate client engagement scores to prioritize outbound sales effortsAutomated capture of client touchpoints across emails and calendar eventsEarly warnings when prospective clients begin losing interest in dealsIdentification of highly engaged leads that are ready to closeAutomated tracking of research interactions for MiFID II complianceContinuous data sync to eliminate manual CRM entry for client-facing staffManagement information reporting to monitor business relationship impactAccount-level engagement scoring across enterprise sales pipelines

Pricing breakdown

Pricing model: Book a demo

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FeedStock, Relata, Cortex, relationship intelligence, sales tracking, MiFID II compliance, client engagement, CRM automation, interaction tracking, account management, financial services CRM, research tracking, deal intelligence, sales analytics, client data capture