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Blurbs comparison of AppsFlyer and Earnest Analytics
Learn about how these Data, Analytics and Insights vendors stack up against each other by checking out our blurbs, claims, and case studies.
Earnest Analytics
"Transforms raw data into actionable consumer insights"
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Earnest Analytics helps marketers by using comprehensive consumer data sources to predict trends, benchmark competitors, and track performance. It provides real shopper data, cutting down on guesswork and offering a clear view into customer behaviors and market changes. A toolbox for informed, data-driven decision-making without unnecessary complications.
High accuracy revenue predictions
Earnest Analytics claims that their data has a 90% accuracy rate for revenue surprises, setting them apart in the market.
Analyst-validated data context
Earnest Analytics claims that their industry expert analysts track and validate data for skews, offering more than just numbers.
Real-time consumer insights
Earnest Analytics claims their data allows for real-time marketing and merchandising adjustments, avoiding reliance on quarterly reports.
AppsFlyer
"Provides detailed marketing performance insights with privacy."
Focused on App Measurement .
AppsFlyer gives marketers robust data across multiple platforms while ensuring user privacy. It tracks user actions, optimizes creative outputs using AI, and safeguards against ad fraud. By integrating with thousands of partners, it enables informed decision-making across iOS, Android, and web, helping marketers improve acquisition, engagement, and return on investment.
privacy-first approach
AppsFlyer claims that its privacy-first approach protects user data while providing reliable, actionable insights to businesses.
comprehensive fraud protection
AppsFlyer claims that its fraud protection solution ensures marketing budgets are only spent on valid, revenue-generating engagements.
AI-powered creative optimization
AppsFlyer claims that its AI-powered Creative Optimization solution helps businesses build winning creative strategies based on performance data.