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  Introduction At Actowiz Solutions, we help food and restaurant brands unlock powerful competitive intelligence through advanced Scraping Restaurants Data from iFood Platform strategies. In Brazil’s rapidly evolving food delivery ecosystem, access to structured and real-time insights can determine whether a brand leads or lags behind competitors. By leveraging specialized Restaurant Data Scraping solutions, we enabled our client to gain deep visibility into menus, pricing, ratings, and location-based demand trends from iFood. Our data-driven framework transformed fragmented information into actionable business intelligence. Instead of relying on assumptions, the brand began making precise pricing adjustments, optimizing menu positioning, and identifying high-performing cuisines across cities. This case study highlights how Actowiz Solutions combined scalable scraping technology, analytics dashboards, and strategic consultation to deliver measurable growth and stronger competitive...
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Scrape Dewu (Poizon) data for sneaker store

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  Introduction The sneaker industry thrives on data-driven decisions, and our expertise in Scrape Dewu (Poizon) data for sneaker store enables brands to unlock powerful competitive intelligence. By extracting structured marketplace insights from sneaker platforms, businesses can analyze pricing trends, SKU performance, and consumer demand patterns. The ability to monitor product listings and competitor strategies helps brands optimize inventory and improve revenue outcomes. With advanced analytics and automated data extraction, we provide actionable intelligence that strengthens marketplace positioning. Data from sneaker marketplaces reveals hidden opportunities in product assortment and pricing strategies, empowering businesses to stay ahead in a competitive industry. Our solutions ensure scalable data collection and precise insights for strategic decision-making. About the Client The client is a growing sneaker retailer specializing in premium footwear and streetwear products. Th...
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Location: United States
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Grab Rewards Data Scraping for Rewards & Tier Analysis

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  Introduction In today’s experience-driven digital economy, loyalty programs play a critical role in customer retention and lifetime value growth. This case study highlights how Actowiz Solutions helped a regional digital commerce brand unlock actionable intelligence using Grab Rewards data scraping. The client aimed to gain visibility into reward points distribution, tier structures, and redemption patterns to refine its loyalty strategy. However, fragmented data and limited transparency across rewards catalogs made optimization difficult. By implementing a structured data intelligence approach, Actowiz enabled the client to transform scattered loyalty information into a centralized analytics framework. This initiative empowered the business to understand what rewards drive engagement, how tier benefits influence behavior, and where loyalty drop-offs occur. The result was a data-backed loyalty optimization model that aligned incentives with real customer preferences, driving stro...
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Location: United States
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