Understand
How Nektar works — from sync behavior and security to key concepts and use cases.
Overview
How Nektar captures, structures, and syncs your engagement data — the Nektar Graph, Readers, Builders, and Writers explained. How the Nektar Graph, Readers, Builders, and Writers fit together.
Graph inference
How Nektar's ML models identify missing relationships, de-duplicate records, and connect activities to the right opportunities. How Nektar identifies missing relationships and maps activities to opportunities.
Self healing
How Nektar automatically corrects its past decisions as new data arrives — keeping your CRM accurate without manual intervention. How Nektar auto-corrects past decisions as new data arrives.
Security
Infrastructure, data handling, encryption, and compliance — how Nektar keeps your data secure and meets international standards. SOC 2 Type II, ISO 27001, GDPR — infrastructure and encryption.
Sync latency
Typical end-to-end latency for syncing contacts, activities, and opportunity-contact roles — and what causes delays. Typical sync times and what affects them.
Data transform
Configure how Nektar maps your engagement data into Salesforce fields using transform rules and formulae. Map engagement data into Salesforce fields with transform rules.
Use cases
Ways customers use Nektar Transform to auto-populate engagement scores, multi-threading levels, activity dates, and more. Auto-populate scores, multi-threading levels, dates, and more.
FAQs
Answers to common questions about activities, contacts, admin controls, and security. Common questions about activities, contacts, admin, and security.