Salesforce agrees to acquire Braze for $5.66 billion
publishers 29articles 30first reported 20 Oct, 12:45 UTCdeveloping since 20 Oct · 8 editions
Salesforce has agreed to acquire customer engagement platform Braze in an all-cash transaction valued at about $5.66 billion, expanding the software company’s artificial intelligence and marketing capabilities.
Under the agreement, holders of Braze Class A common stock will receive $47.50 per share in cash. The price represents a substantial premium to Braze’s Monday closing price of $30.04. Braze shares surged more than 50% Tuesday following the announcement, while Salesforce shares slipped about 1%.
Braze provides AI-powered tools that help companies manage customer data and communicate with customers across multiple channels. Its technology is expected to be integrated with Salesforce’s offerings.
“Salesforce shares our commitment to marketers, and we'll continue building as Braze and investing in the Braze community of customers and partners who built this company with us,” Braze CEO Bill Magnuson said in a statement. He added that Salesforce’s platform would help Braze innovate more quickly.
The acquisition is expected to close during Salesforce’s fiscal 2028, subject to approval from Braze shareholders and regulators. It follows Salesforce’s previously announced agreement to acquire AI customer service platform Fin for about $3.6 billion.
HOW THIS STORY WAS MADE
Written from 8 articles, 1 with the publisher's own text; 8 independent newsrooms once syndicated copies count as one; this version written 24 h after the record first saw the story; the editor kept it as written.
- Publishers
- 29
- Source articles
- 30
- Given to the writer
- 8, 1 with the article's own text
- Independent newsrooms
- 8
- This version written
- 24 h after the record first saw the story
- Second model (editor)
- kept as written
- Publication gate
- passed
- Human review
- none
WHAT THE EDITOR DID
The second model checked the writer's draft against the same sources and published it as written.
Written by a language model from the sources above, then checked by a second model that may only cut, attribute or correct. How it works →