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TigerGraph is a platform for advanced analytics and machine learning on connected data. Based on the industry’s first and only distributed native graph database, TigerGraph’s proven technology supports advanced analytics and machine learning applications such as fraud detection, anti-money laundering (AML), entity resolution, customer 360, recommendations, knowledge graph, cybersecurity, supply chain, IoT, and network analysis. The company is headquartered in Redwood City, California, USA. Start free with tigergraph.com/cloud.
Marketing fuels PLG engine with MQLs to attract initial users into viral loops.
Sales gets PLG signals to engage with promising product-qualified leads.
They still reach out to marketing-qualified leads as well, to attract initial users.
CS teams receive playbook tasks to onboard new users that get stuck on certain features.
They also act on incoming PLG churn risk signals and try to revive declining paying customers.
How
TigerGraph
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