An enterprise mobile customer experience platform that measures sentiment, captures in-app feedback, and boosts app store ratings.
What it does
Deploys targeted in-app micro-surveys and contextual feedback loops based on live student or consumer app behavior events.
Implements smart rating prompts that isolate positive reviews for app store submissions while keeping criticisms within internal support lines.
Segments active customer groups via predictive multi-tier sentiment analysis and emotional status tracking indexes.
Triggers precise in-app notes, system-update bulletins, and interactive marketing announcements to specific active profiles.
Tracks app version churn, feature sentiment degradation, and user retention metrics across multi-tenant deployments.
Compiles central analytics data exports and text transcription analyses to monitor global cross-application experience trends.
Why it works
Maximizes survey response volumes by embedding short interactive questions straight into natural mobile usage flows.
Protects app marketplace reputations by proactively solving user friction within private internal support chats.
Reduces manual analytical overhead via automated intent tagging and emotional trend calculations across high-volume chat fields.
Saves technical engineering hours through a completely no-code administrative dashboard to configure and schedule mobile campaigns.
Minimizes application performance penalties using an exceptionally lightweight, optimized mobile SDK framework.
An enterprise mobile customer experience platform that measures sentiment, captures in-app feedback, and boosts app store ratings.
Overview
Apptentive (now an Alchemer company) is a leading customer experience management platform custom-engineered for mobile applications across iOS and Android ecosystems. The software replaces annoying, poorly timed survey popups with highly targeted, contextual in-app messages, micro-surveys, and interactive rating prompts. By measuring user emotional change and tracking micro-interaction milestones across live usage footprints, it segments fans from critics before routing them to ideal feedback paths. Ultimately, Apptentive allows mobile product managers to dramatically decrease customer retention churn, manage app store reviews, and tap into qualitative insights across large customer groups.
Founded year:2011
Founder:Robi Ganguly, Sky Fowler, Andrew Wetmore, Mike Saffitz
Team size:26-100
Popularity:Established enterprise segment market leader within the mobile customer feedback management and interactive sentiment analysis space.
HQ:Seattle, WA, USA
Status:Acquired
Funding status:Acquired
Customer type:B2B
Funding:$12M+ total funding raised across public rounds, with key venture capital backing from firms including Origin Ventures, Voyager Capital, and Founders' Co-op, prior to its acquisition by Alchemer.
Deploys targeted in-app micro-surveys and contextual feedback loops based on live student or consumer app behavior events.
Implements smart rating prompts that isolate positive reviews for app store submissions while keeping criticisms within internal support lines.
Segments active customer groups via predictive multi-tier sentiment analysis and emotional status tracking indexes.
Triggers precise in-app notes, system-update bulletins, and interactive marketing announcements to specific active profiles.
Tracks app version churn, feature sentiment degradation, and user retention metrics across multi-tenant deployments.
Compiles central analytics data exports and text transcription analyses to monitor global cross-application experience trends.
Who it's for
Mobile Product Managers seeking to boost App Store and Google Play marketplace ratings systematically
Customer Experience (CX) Directors auditing consumer sentiment shifts across distributed digital apps
Mobile Marketing Professionals launching targeted in-app feature promotion alerts and retention campaigns
Enterprise Mobile Support Teams needing proactive feedback loops to catch software bugs before app store complaints
Why it works
Maximizes survey response volumes by embedding short interactive questions straight into natural mobile usage flows.
Protects app marketplace reputations by proactively solving user friction within private internal support chats.
Reduces manual analytical overhead via automated intent tagging and emotional trend calculations across high-volume chat fields.
Saves technical engineering hours through a completely no-code administrative dashboard to configure and schedule mobile campaigns.
Minimizes application performance penalties using an exceptionally lightweight, optimized mobile SDK framework.
Founder story
Apptentive was founded in 2011 by Robi Ganguly, Sky Fowler, Andrew Wetmore, and Mike Saffitz in Seattle, Washington. While developing early smartphone applications, the founders identified a major communication gap in the industry: mobile developers were launching tools to millions of end-users but had no real-world mechanism to chat with them or gather feedback besides reading public, often hostile app store reviews. To fix this one-way interaction loop, they built an embedded in-app communication layer designed to foster human relationships. Operating from Seattle, the company became an award-winning platform, culminating in its acquisition by Alchemer in January 2022.
Alternatives
Comparison overview
Apptentive differentiates itself from generic feedback utilities like SurveyMonkey by optimizing its entire configuration matrix exclusively around mobile application ergonomics and native SDK architectures.
Unlike bug-tracking platforms like Instabug that focus on deep technical crash dumps, Apptentive prioritizes human sentiment and customer experience metrics.
While massive software frameworks like Qualtrics introduce long implementation cycles and rigid administrative layouts, Apptentive provides lightweight, agile marketing campaigns that can be scheduled instantly without code adjustments.
Following its integration into the Alchemer product ecosystem, it offers a powerful cross-channel bridge connecting mobile feedback to desktop enterprise data streams.