OFFERFIT BY BRAZE Trademark
OFFERFIT BY BRAZE is a USPTO trademark filed by Braze, Inc.. Status: Registered.
Trademark Facts
| Mark | OFFERFIT BY BRAZE |
|---|---|
| Serial Number | 99263972 |
| Registration Number | 8142225 |
| Status | Registered |
| Filing Date | 2025-07-02 |
| Registration Date | 2026-02-17 |
| Mark Type | Stylized |
| Nice Classes | 042 (Software & IT) |
| Owner | Braze, Inc. |
| Attorney of Record | Anna Kuhn |
| Prosecution Events | 10 |
| Latest Event | R.PR on 2026-02-17 |
Goods & Services
Providing on-line non-downloadable software using artificial intelligence for optimizing content marketing and deployment; Providing on-line non-downloadable software using artificial intelligence for analyzing marketing and customer data to optimize and maximize marketing success; Providing on-line non-downloadable software using artificial intelligence for managing, monitoring, optimizing and maximizing the performance and effectiveness of marketing campaigns; Providing on-line non-downloadable software using artificial intelligence for multivariate testing and experimentation; Providing on-line non-downloadable software using artificial intelligence for testing and analyzing customer interactions to learn and make recommendations to maximize success metrics; Software as a service (SAAS) services featuring software using artificial intelligence for optimizing content marketing and deployment; Software as a service (SAAS) services featuring software using artificial intelligence for analyzing marketing and customer data to optimize and maximize marketing success; Software as a service (SAAS) services featuring software using artificial intelligence for managing, monitoring, optimizing and maximizing the performance and effectiveness of marketing campaigns; Software as a service (SAAS) services featuring software using artificial intelligence for multivariate testing and experimentation; Software as a service (SAAS) services featuring software using artificial intelligence for testing and analyzing customer interactions to learn and make recommendations to maximize success metrics