Data Products: What Are They? Data analytics for online marketplaces
Boost e-commerce consumer experiences while optimizing brand performance.
Elevate consumer experiences and boost brand performance on your e-commerce platform or marketplace OS. Whether you sell artwork, fashion, lifestyle, or anything else, partner with the best analytics in the industry for better self-service insights and dashboards and advanced, collaborative data exploration.
Provide clarity with a data bird’s-eye view
Equip your brand partners with 24/7 self-service access to data about:
- What products their customers want and when they want them.
- Where in the buying process customers drop off, and whether it’s due to product availability, price, or other factors.
“If we can empower our partners, we enable them to grow sales on our platform, while also benefiting customers who will receive a wider selection.”
Cody Alton ZMS Insights Senior Product Manager, Zalando
Help drive growth with rich data visualizations
Provide brand partners with dashboards and metrics that help them:
- Better target their shoppers on your online platform.
- Identify new opportunities.
- Benchmark against peer competitors.
- Evaluate performance based on detailed data.
“All of our clients vary in their business needs and operations. The addition of GoodData’s custom dashboards to our product offering deepened our relationship with our clients and enhanced our user experience.”
Peter Billante Chief Product Officer at Repsly
Foster collaboration via ease-of-access
Increase interaction with your platform through easy-to-use data analytics. Provide value to all users regardless of their data or technical proficiency.
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Common questions about data analytics for online marketplaces
Integrating AI into marketplace analytics offers several benefits that can transform how you understand and optimize your platform:
Predictive Analytics and Demand Forecasting - AI models can forecast trends, demand fluctuations, and inventory needs before they happen. This allows you to prepare for seasonal changes, anticipate supply gaps, and alert sellers to potential opportunities.
Dynamic Pricing Optimization - AI algorithms can analyze competitive pricing, demand signals, and conversion rates to suggest optimal price points for sellers. This maximizes both sales volume and margins across your marketplace.
Fraud Detection - AI excels at identifying unusual patterns that might indicate fraudulent transactions or fake accounts. Machine learning models can adapt to new fraud techniques over time, providing stronger protection than static rule-based systems.
Anomaly Detection - AI can automatically flag unusual performance metrics, allowing you to address potential issues before they impact user experience.
When implemented thoughtfully, AI transforms marketplace analytics from descriptive (what happened) to prescriptive (what should happen next), enabling more proactive management and optimization of your platform.
