Closing, keeping, and expanding customers requires non-technical teams to understand and act on customer data at scale. Parative transforms how these teams drive growth with a full-stack data & automation engine built just for them.
Unify & Clean Your Data
Parative is unique in its ability to address the integrity of customer data. Parative's Identity Matrix is the key, deeply leveraging machine learning to accurately identify customers and unify disparate customer data across every data source. No universal ID required.
Access & Route Your Data
Parative can send any unified customer data to any existing tool or system where employees spend their time, such as your CRM. This can include raw data, Parative-transformed data, Parative-captured data, or distinct insights that are uncovered via Parative analysis.
Put Your Data to Work
Parative can automate simple or complex workflows across a series of connected tools based on the existence, occurrence, or lack of any unified customer data. Parative can even score your data in real time to grade account fit, health, risk, or expansion-readiness.
Use Parative in the way that works for you.
Enrich Current Systems
Parative and its add-on solutions are capable of being completely "headless", meaning they can be used entirely from your other systems as a way to enrich those tools. No additional dashboards to learn or seats to buy.
Consolidate Current Systems
While any of Parative's systems can be used alongside other tools, its add-on solutions – Parative CS, Parative CX, & Parative VoC – can also be used to consolidate a collection of standalone tools into one powerful platform.
An expandable system for Unified CX.
Parative for NRR
An AI-powered customer data engine that forecasts NRR pipeline, identifies expansion opportunities, and automates team action to drive NRR growth.
For Customer Success teams to manage their accounts, track lifecycle stages, run playbooks, score for health, and drive renewals. Use as a standalone CRM or as a CS conversion kit for your current CRM.