Company History

Blaze, previously known as Retrera, is a company specializing in AI-powered customer engagement platforms for web3 users. The company is part of the Y Combinator W22 batch and operates from San Francisco, CA, while also offering remote work options. Blaze primarily targets companies and agencies, helping them grow, engage, and retain users through automation and advanced data analytics tools.

Services

Blaze provides a comprehensive suite of tools for web3 customer engagement. This includes lead generation & acquisition, social & community management, quests & rewards, ads, and wallet CRM. The platform enables segmentation, communication via DM and email, and automation of outreach efforts. It also supports targeted paid campaigns, comprehensive tracking of data, and helps businesses understand budget allocation for campaigns.

Products

Blaze offers several products including a feature store, Blaze data app, and Blaze partner program. The website also features interactive and video demos, along with pricing information. Additionally, Blaze provides a section called Blazeverse and publishes various resources like case studies, playbooks, documentation, and blog posts in their knowledge center.

Technology and Innovation

Blaze leverages AI-powered automation to offer tools that help companies engage and retain web3 users. The platform supports building users' segments based on social and on-chain signals and facilitates management of content on channels like Discord and Twitter. The aim is to provide robust solutions for user onboarding, engagement workflows, and campaign tracking to optimize marketing efforts.

Target Market

Blaze mainly serves companies and agencies within the United States, North America, and global remote markets. The platform is designed to cater to the needs of businesses aiming to harness the potential of web3 for customer engagement. Blaze’s customer engagement tools are particularly beneficial for those looking to manage community channels, conduct social media campaigns, and analyze transaction and product data effectively.

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