Upland Localytics
Localytics combines deep mobile analytics with multi-channel engagement tools to help brands personalize customer experiences, reduce churn, and increase app revenue.
Last updated May 11, 2026 by ATDb automated enrichment · Connections updated May 11, 2026
- Industry
- Mobile Marketing Automation & Analytics
- Business Model
- SaaS
- Target Market
- Mid-Market and Enterprise
- Employee Count
- 51-200
- Funding
- $60M
- Stock Symbol
- UPLD
- Parent Company
- Upland Software
- API Available
- Yes
A mid-tier mobile engagement platform within Upland Software's portfolio, competing against larger standalone mobile marketing clouds and CDPs
Upland Localytics is a mobile marketing and analytics platform originally founded as Localytics in 2009, later acquired by Upland Software as part of its broader customer engagement portfolio. The platform enables brands to understand user behavior within mobile apps and web environments, then act on those insights through targeted messaging campaigns including push notifications, in-app messages, email, and SMS. It serves as an end-to-end mobile engagement solution combining analytics with multi-channel campaign execution. Localytics built its reputation as a leading mobile analytics and engagement platform, particularly popular among media, retail, travel, and financial services companies seeking to improve app retention and lifetime value. After being acquired by Upland Software, it was integrated into Upland's suite of digital engagement tools, giving it access to a broader enterprise customer base and complementary products. The platform competes in the mobile marketing automation and customer data platform space. Within the AdTech and MarTech ecosystem, Upland Localytics occupies a niche focused on mobile-first customer engagement, offering behavioral segmentation, A/B testing, funnel analytics, and personalization capabilities. Its value lies in closing the loop between data collection and campaign activation, making it relevant for product, marketing, and growth teams at mid-market to enterprise companies with significant mobile app audiences.
Push Notifications
Targeted and personalized push messaging to mobile app users based on behavior and segmentation
In-App Messaging
Contextual messages delivered within the app experience to guide and engage users
Mobile Analytics
Behavioral analytics and funnel reporting to understand how users interact with mobile apps
Audience Segmentation
Dynamic segmentation based on user attributes, behaviors, and lifecycle stage
A/B Testing
Experimentation tools to test messaging variants and optimize campaign performance
Email & SMS Campaigns
Cross-channel outreach capabilities extending beyond mobile push to email and text messaging
Predictive Analytics
Machine learning-driven insights to predict churn risk and identify high-value users