E-commerce
Zalando's tech sentiment tracked globally.
Gain actionable insights on sentiment and reputational risks — automated monitoring of global news and social media trends
SOURCES
What Zalando sources do we read?
Our monitoring solution aggregates structured data from 12 reputable sources, including Zalando, Reuters, BBC, Forbes, and TechCrunch. We track critical metrics such as sentiment, key messages, and reputational risks related to Zalando's technology and customer innovation initiatives. This comprehensive approach ensures you receive timely insights from global news outlets, industry publications, and social media platforms, enabling proactive decision-making.
100x faster
than manual data collection
DATASET
What Zalando data does it find?
The normalized dataset includes key columns like Source, Headline, Sentiment, KeyMessages, ReputationalRisk, and EstimatedImpact. This structured data allows for an in-depth understanding of how Zalando is perceived in the market and the potential impact of its technology initiatives. By analyzing these columns, you can gain valuable insights into customer sentiment and emerging trends.
90%
faster than manual audits.
ANALYTICS
Understanding the Zalando dataset
Our dashboard features 12 interactive widgets designed to visualize the sentiment landscape surrounding Zalando. Key metrics include the Total Sentiment Articles metric, a Sentiment Trend Over Time line chart, and a Sentiment Breakdown donut chart. Additionally, the Top 5 Key Messages Identified bar chart and the Reputational Risks by Source horizontal bar provide clarity on the most pressing issues affecting Zalando's reputation.
20+
ANALYTICS AND REPORTING TOOLS INCLUDED
NOTIFICATIONS
When do we get Zalando alerts?
Stay informed with our single enabled alert rule that notifies you of the latest reputational risks related to Zalando. This ensures that you are immediately aware of any significant changes in sentiment or emerging risks, allowing for swift action. Timely alerts help you manage your brand's reputation effectively.
95%
REDUCED MANUAL CHECKS
INTEGRATIONS
Where does Zalando data go?
Our monitoring solution seamlessly integrates with various platforms, including API, BigQuery, Salesforce, and Slack, allowing for streamlined data access and collaboration. With these integrations, you can easily share insights across your organization and leverage the data for strategic decision-making. This connectivity enhances your ability to respond to market dynamics in real-time.
100+
SERVICES TO CONNECT
INITIAL DEPLOYMENT
Limited-scope pilot
You can get started with free test data instantly!
Exact pilot scope and pricing depends on the geographic ranges and data breadth.
Most teams land around €3,000/month for these scoped deployments.
"Jsonify has saved us thousands of hours of manual data collection. The core AI data platform is powerful and versatile, automating nearly every process we need."
Cole Gottdank
Co-Founder, Helicone, YC W23
FAQ
Is Jsonify just a web scraping tool?
No. Jsonify is a market intelligence platform that collects publicly available web data and then processes, normalizes, and analyzes it to produce structured insights. While Jsonify uses automated agents to access public webpages and documents, the core value of the platform lies in what happens after collection: extracting structured product and price data, matching it to real SKUs, tracking changes over time, and delivering analytics through dashboards, exports, and APIs. Jsonify does not simply retrieve raw webpages. It transforms publicly accessible information into actionable intelligence for business use, under customer-defined instructions and compliance controls.
What kind of data can Jsonify collect?
Jsonify collects publicly available product and market data from the web, such as product listings, prices, availability signals, menus, catalogs, and related commercial information. This includes data from retailers, ecommerce sites, marketplaces, venues, and other public sources relevant to market visibility and competitive analysis.
How does Jsonify turn raw web data into something usable?
After collecting data, Jsonify extracts structured information, normalizes inconsistent naming, and matches it to real products or SKUs. The platform then aggregates and analyzes this data over time, making it usable through dashboards, charts, exports, or APIs — rather than leaving you with raw pages or unstructured text.
What makes Jsonify different from basic scraping or monitoring tools?
Most tools either collect raw data or monitor individual pages. Jsonify goes further by operating at scale across many sources, handling messy real-world data, matching it to product catalogs, and delivering analytics that answer business questions like coverage, pricing, and competitive presence — not just “what changed on a page.”
What kinds of use cases does Jsonify support?
Jsonify is used for market visibility and competitive intelligence use cases such as tracking product presence, pricing, and availability across markets; monitoring launches and distribution gaps; benchmarking competitors; and understanding how products are represented across channels and geographies.
How do teams actually use the outputs?
Teams use Jsonify through interactive dashboards in Jsonify Studio, scheduled exports (CSV or Excel), or APIs that feed internal BI tools and workflows. This allows insights to be shared across trade marketing, sales, category management, ecommerce, and analytics teams.
How quickly can Jsonify be set up?
Jsonify does not rely on rigid templates or manual page configuration. Once target sources and products are defined, data collection and analysis can begin quickly, with initial results often available in days rather than months. Coverage and update frequency can then be expanded over time.
USECASES
