Think of Pocus as a smart assistant for sales teams that looks through all your customer data, figures out which companies are most likely to buy or expand, and then tells reps exactly who to talk to and why, inside the tools they already use.
Sales teams waste time guessing which leads/accounts to prioritize and manually stitching together data from CRM, product usage, and marketing tools. Pocus centralizes this data, scores and surfaces the best opportunities (e.g., PQLs/PLG leads), and guides reps with next-best actions to increase conversion and expansion efficiency.
Strong workflow integration with sales tools plus proprietary scoring/playbooks tuned to product-led sales motions and customer-specific data can create a sticky, embedded system that is hard to rip out once adopted.
Hybrid
Vector Search
Medium (Integration logic)
Data integration quality and ongoing maintenance across many GTM tools and CRMs; plus model performance and latency when scoring large account/lead volumes in near real time.
Early Majority
Focus on product-led growth (PLG) motions and unifying product usage data with CRM and marketing signals for sales intelligence, rather than purely call/email analytics or generic lead databases.