Location-based marketing software uses geolocation technology to deliver targeted content and promotions to users based on their physical location. This software can identify where users are through their mobile devices, IP addresses, or other connected devices, allowing businesses to send personalized messages, offers, or ads when users are near a specific location, such as a store or event. The software is used by retailers, event organizers, restaurants and cafes, travel and hospitality, etc. Key features include geofencing, location tracking, analytics & reporting, location data, push notifications, and mobile apps, which help businesses optimize their marketing strategies and measure campaign effectiveness.
Mobile app analytics tools collect and report on in-app data pertaining to the operation of the mobile app and the behavior of users within the app. These areas of app analytics are defined as follows: Operational analytics: Provides visibility into the availability and performance of mobile apps in relation to device, network, server and other technology factors. Operational analytics are essential to capture and fix unexpected app behavior (such as crashes, bugs, errors and latency) that can lead to user frustration and abandonment of the app. Such analytics should be applied at both the app testing phase and after release of the app into production. Behavioral analytics: Shows how app users interact with the app to gain actionable insights, drive app improvements and improve business outcomes. Behavioral data can be analyzed based on correlating clicks, swipes, views and other usage stats based on user profiles, segmentation/cohorts, retention, funnel/event tracking and A/B testing.
Gartner defines mobile marketing platforms (MMPs) as software solutions that help organizations create, activate, execute, analyze and optimize mobile marketing campaigns and experiences. The platforms target audiences on their mobile device through multiple message types such as SMS/text, push notifications, messaging apps and in-app messages. These platforms enable marketers to engage customers and prospects through a range of mobile-specific tactics — spanning mobile websites, mobile applications, smart device engagement, messaging (such as SMS and native applications), push notifications (such as on mobile apps and off websites), location-triggered interactions and mobile wallet cards. Mobile tactics are particularly suited to, for example, providing time-sensitive notifications to audiences, whether that’s in response to a live event, location-specific moment or a fulfillment update. MMPs also help measure and optimize the effectiveness of mobile strategy. MMPs can operate as stand-alone solutions within a marketing organization’s tech stack, or operate alongside other marketing technology. These technologies can include a set of capabilities within a multichannel marketing hub (MMH), marketing automation platform (MAP), customer data platform (CDP) or other marketing automation applications. Stand-alone MMPs are a more specialized solution, often used in conjunction with an MMH, email platform or B2B MAP.
Gartner defines multichannel marketing hubs (MMHs) as software applications that orchestrate personalized communications to individuals in common marketing channels. MMHs optimize the timing, format and content of interactions through the analysis of customer data, audience segments and offers. MMHs are foundational for multichannel marketing, customer journey orchestration and next best action programs.
Gartner uses the following market definitions: Web analytics tools — Specialized analytics tools used to understand and improve the digital CX, attract and retain users, and analyze operations and actions taken across responsive websites and mobile apps. Product analytics tools — Tools and processes used to understand the behavior of users across products or services to inform decisions about how to improve the product experience and increase product engagement. Digital experience analytics tools — Tools that provide diagnostic insights into visitor activity and the CX on responsive web and mobile apps, enabled by advanced analytics and machine learning, session replay and heat map technology.