Correlated
Tool that watches how people actually use your free or trial software and tells your sales team exactly who's ready to buy, instead of cold-calling a random list.
🔗 Visit Correlated
Description
When a company lets people try its product for free before buying, the earliest and best sign someone's ready to become a paying customer isn't in a spreadsheet — it's in how they're actually using the product. Correlated reads that usage data directly, scores each account on how likely it is to convert, and routes the promising ones straight to a salesperson, so reps spend their time on people already showing real interest instead of cold-prospecting a static list.
Correlated combines AI-powered account prioritization and product-qualified-lead (PQL) scoring with a "Customer 360" view that pulls in usage, CRM and support data without custom engineering work, automated routing into a sales team's existing playbooks, and GPT-4-powered enrichment of account data. It integrates with 20+ tools including Salesforce, HubSpot, Outreach, Salesloft and major data warehouses.
💬 Our review
The short version: Correlated's core idea — that product usage data predicts who's ready to buy better than a cold contact list — has real evidence behind it (PLG companies that adopt PQL scoring report meaningfully higher conversion than traditional cold-outreach funnels), and Correlated was one of the earlier, more established players building specifically for that workflow.
A meaningful market signal worth knowing before evaluating this category: Correlated's most direct competitor, Pocus, was acquired by Apollo.io in March 2026 and became waitlist-only, effectively removing a major alternative from the market — Correlated, independently confirmed still operating as of mid-2026, is now one of the more established standalone options left in this specific niche. No-code data connectivity (pulling usage, CRM and support signals together without requiring engineering time to wire it up) is the practical feature that determines whether a sales team's ops function can actually maintain this themselves versus needing a data engineer on call. The honest caveat: as with any PLG/PQL vendor, specific conversion-lift numbers (5-6x versus MQLs, cited industry-wide) are aggregate figures, not a guarantee for your specific product and funnel — worth validating against your own trial-to-paid data during a pilot.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Custom/enterprise pricing, not publicly disclosed.
Pros
One of the more established standalone PQL/product-led-sales platforms remaining after Pocus's acquisition
No-code data connectivity across usage, CRM and support data
GPT-4-powered account enrichment
20+ integrations with major CRM/sales-engagement tools
Cons
No public pricing, custom enterprise sales
Industry-wide PQL conversion-lift figures are aggregate claims, not a guarantee for any specific product
A narrower category focus than a broader GTM platform like Clay