October 2022 Summaries

At the Web Summit in Lisbon, Bright Data CEO Or Lenchner, along with other industry leaders, will lead a masterclass on the innovative use of web data to address business challenges and enhance organizational strategy. The panel will feature insights from notable figures such as CASAFARI's CEO Nils Henning and Red Points' Vice President of Product Geoffrey Cleaves, who will share real-world examples of how top companies leverage web data to improve consumer sentiment analysis, dynamic pricing, and market visibility. This session follows a survey by Bright Data and Vanson Bourne, revealing increased web data usage across sectors like retail, travel, and banking, with 93% of businesses deeming it crucial for operations despite global economic challenges. The survey indicates a rise in web data budgets, highlighting its significance even as other departmental budgets are reduced. Participants will gain insights into implementing web data strategies to enhance decision-making and maintain competitive advantage.

Instagram bots use proxies to automate actions like following accounts, commenting, and responding to posts, which is particularly beneficial for businesses managing multiple accounts across different geolocations. Proxies help businesses match account IP addresses with their declared geolocations, improving account discovery and targeting capabilities. Bright Data provides advanced proxy infrastructure, enabling localized IP addresses for each Instagram account, supporting various use cases such as sales intelligence, account management, social data app development, and influencer marketing. Businesses use Residential and ISP proxies, which Instagram identifies as originating from real users, to avoid being blocked and to enhance their operations. The choice of proxy depends on a company’s specific needs and budget, with Bright Data offering a large global network of Residential peer devices advantageous for running Instagram campaigns.

Consumer reviews are valuable for understanding audience sentiment and can be collected from various sources, such as star ratings, written reviews, social media mentions, and discussion forums. Businesses use this data to enhance product offerings and marketing strategies by analyzing consumer feedback to determine product quality and campaign effectiveness. The text discusses different methods for collecting buyer reviews, including web scraping techniques using languages like Python, Java, and PHP, and using dedicated tools or datasets to simplify the process. These methods allow companies to gain insights into their competitive landscape and improve their operations based on consumer sentiment. However, companies need to be aware that websites frequently update their code, which might affect the effectiveness of these methods.