Upland Localytics
Localytics helps brands drive mobile app retention and revenue by combining behavioral analytics with personalized multi-channel messaging to engage users at the right moment with the right message.
Last updated Jun 23, 2026 by ATDb automated enrichment
At a glance
- Employees
- 51-200
- Funding
- $60M
- Stock
- UPLD
About
Mid-tier mobile engagement platform operating as part of Upland Software's enterprise cloud portfolio, competing against dedicated mobile marketing leaders like Braze and Airship
Upland Localytics is a mobile marketing and analytics platform originally founded as Localytics in 2009, acquired by Upland Software in 2020. The platform empowers brands to understand user behavior within mobile apps and act on those insights through targeted, personalized messaging campaigns including push notifications, in-app messages, and email. It serves as a comprehensive mobile customer engagement solution designed to reduce churn and increase lifetime value. The platform combines deep analytics capabilities with multi-channel messaging orchestration, allowing marketers to segment audiences based on behavioral, demographic, and lifecycle data. Localytics has historically served mid-market and enterprise brands across retail, media, travel, and financial services verticals, competing with platforms like Braze, Airship, and CleverTap in the mobile engagement space. As part of Upland Software's broader portfolio of cloud-based enterprise software products, Localytics benefits from integration with Upland's suite of customer engagement tools. However, the mobile engagement market has grown increasingly competitive, and Localytics' positioning within the Upland ecosystem reflects a consolidation trend in the AdTech and MarTech industries where specialized point solutions are absorbed into larger software conglomerates.
Business model
SaaS
Target market
Mid-Market and Enterprise
What they offer
Push Notifications
Targeted and personalized push notification campaigns triggered by user behavior or scheduled delivery
In-App Messaging
Contextual messages delivered within the mobile app experience to guide and engage users
Mobile Analytics
Behavioral analytics and funnel analysis to understand how users interact with mobile apps
Audience Segmentation
Advanced segmentation tools based on behavioral, demographic, and lifecycle attributes
A/B Testing
Experimentation tools to optimize messaging content, timing, and targeting
Predictive Analytics
Machine learning-driven insights to identify users at risk of churn or likely to convert
Key features
Use cases
Customer segments
Tech & specs
Technology stack
Security & compliance
Deployment
API
Yes