• We crawl and analyze over 2 million Shopify stores daily
• Store data is refreshed every 24-48 hours for active monitoring
• App installation data is updated in real-time as we detect changes
• Revenue estimates are recalculated weekly using multiple data points
• Geographic and demographic data is cross-referenced with multiple sources
How we match stores to apps
• We analyze JavaScript files, HTML source code, and network requests
• App signatures are identified through unique code patterns and API calls
• Manual verification is performed on a sample of stores monthly
• We maintain a database of over 10,000 app signatures and growing
• False positives are filtered out using machine learning algorithms
Email validation and bounce handling
• All email addresses go through syntax and domain validation
• We verify MX records and perform SMTP checks where possible
• Bounce rates are tracked and emails are flagged if they consistently bounce
• Decision maker emails are cross-referenced with LinkedIn and company websites
• We maintain a suppression list of known invalid or opted-out addresses
Known limits and edge cases
• Some apps may be detected with a delay if they use dynamic loading
• Private or password-protected stores may have limited data availability
• Revenue estimates are based on traffic and industry benchmarks, not actual sales
• New apps may take 24-48 hours to appear in our detection systems
• Some contact information may become outdated between refresh cycles
• Stores using heavy JavaScript obfuscation may have incomplete app detection
Continuous Improvement
We're constantly working to improve our data accuracy. If you notice any discrepancies or have suggestions for improvement, please contact our support team. We review all feedback and use it to enhance our data collection and validation processes.
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