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Blurbs comparison of Earnest Analytics and Dropit
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.
Dropit
"Optimize retail inventory using existing tech infrastructure."
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Dropit helps marketers by refining inventory systems for retail. It leverages existing technology to seamlessly integrate data, providing actionable insights. The platform uses machine learning to optimize stock allocation, restocking, and returns management. Its plug-and-play nature minimizes business disruption while boosting inventory turnover and reducing out-of-stock occurrences.
Optimizes unified commerce decisions
Dropit claims that its platform sits atop existing tech to optimize unified commerce decision-making with enhanced efficiency.
Clears inventory, avoids markdowns
Dropit claims that it helps retailers clear their inventory and avoid markdowns effectively with intelligent insights.
Connects entire sales chain
Dropit claims that its platform integrates with any sales or fulfillment point, enhancing decision-making capability.