How Companies Use Proxies To Gain A Competitive Edge

From identifying product features with high sales volume to mapping out your industry for existing solutions, and trending pricing models, proxies are powering data collection that enables companies to compete at the highest levels in their respective industries
How Companies Use Proxies To Gain A Competitive Edge
Roni Sarfati
Roni Sarfati | Director of business development

In this article we will discuss real use cases from different industries, showing how they utilize proxy networks to gain a competitive advantage:


eCommerce is a very competitive space in which using a proxy to collect industry data can provide you with a competitive advantage. One way in which digital retailers are currently using this tool is by collecting real-time information including (but not limited to): 

  • Customer reviews
  • Pricing
  • Sales volume
  • Point of Sale (PoS) 
  • Shipping 
  • Product features with high sales volume (e.g. model, color, make etc)

The companies that collect this data use it in order to get a clear picture of their target audiences, and competitors so that they can optimize their activities accordingly. For example, a company may discover that the phone they are selling is actually extremely popular in blue, and is actually out of stock due to high demand. They may also discover that customers prefer paying using ApplePay and that competitors are offering slower than expected shipping options (using reviews for qualitative feedback). 

The company can use this information to pre-order large quantities of blue phones, offer overnight shipping, and prominently feature ApplePay as a primary payment option. Combining three seemingly unrelated insights about consumers can then help dramatically drive sales volume, diverting traffic away from competitors. 

Digital service industry 

The digital service industry covers a wide spectrum from phone, internet, and cable providers to digital personal assistants, shop managers, and CRM software (as well as any other Software as a Service (SaaS) products). Companies utilize proxy networks in order to collect:

  • Pricing/plan information
  • Current existing solutions
  • Advertising campaign data

So, for example, an SVOD (Subscription Video on Demand) company may learn that customers convert when presented with zero-commitment monthly plans. They may also discover that target audiences typically sign up for a service on account of one show that they are particularly interested in watching. From advertising campaigns, they may discern ‘one-month free trial offers’. 

Utilizing these insights a company could tailor pricing, offers, content, and marketing campaigns to target audiences. They could specifically offer potential subscribers the opportunity to start watching a much-coveted series, for free for their first month. This content-specific, zero commitment hook, could help them gain a higher market share. 


The travel industry is an especially competitive space in which consumers can have very little brand loyalty, making decisions based entirely on:

  • Price
  • Bundle offer
  • Available travel dates
  • Concerns pertaining to personal comfort or style (e.g. the proximity of an airport to the city center or the interior design of a holiday rental)

Online Travel Agencies (OTAs), as well as travel aggregators, tour companies, hotel chains, and other travel service providers, collect this data in order to provide more attractive offers that convert. For example, a travel flight aggregator that detects increased volume for flight demand on competitor sites to London Heathrow airport on specific dates may choose to feature this as a special offer, and/or work with airlines to reserve larger quantities of flight seats exclusively offered on their site. 

The bottom line

Whichever datasets you choose to collect, and however you choose to cross-reference them, utilizing a proxy network can provide you with an information advantage in your industry. Things that can sometimes seem trivial, such as consumer sentiment regarding a stock on social media can end up being of huge consequence, as was the case with Wall Street Bets (WSB). 

Roni Sarfati
Roni Sarfati | Director of business development

Experienced Senior Business Development Manager with a demonstrated history of working in the online media industry and SaaS. Skilled in Negotiation, Business Planning, Operations Management, Analytical Skills, and Import. Strong sales professional with a BA focused in Political Science from Tel Aviv University.


You might also be interested in

If your company has even ONE developer dedicated to web data collection, you are wasting precious resources

The state of the economy in general, and of tech in particular, is leading many CEOs to put budget cut pressure on Information Technology execs. This article aims to help IT leaders improve their bottom lines by offering a more strategic approach to operational web data collection outsourcing

Shooting ourselves in the foot? Why we willingly killed 10% of our network

Bright Data believes in transparent and ethical practices, especially when it comes to dealing with users who make up its Residential peer network. To ensure compliance, we use advanced monitoring protocols and partner with top anti-virus companies. Sometimes, we make decisions which might seem a little crazy, like hurting our own network. That is what this post is about.
Web Data powering e-commerce

Mystery shoppers are so 2000 and late. Web data is the future of e-commerce.

We sat down with Charmagne Cruz from Shopee, the leading e-commerce platform in Southeast Asia, to discuss how the online conglomerate uses public web data to drive forward the company’s success as well as carve out a large section of the Asian e-commerce market.
Qualitative data collection methods

Qualitative data collection methods

Quantitative pertains to numbers such as competitor product fluctuations, while qualitative pertains to the ‘narrative’ such as audience social sentiment regarding a particular brand. This article explains all the key differences between the two, as well as offering tools to quickly and easily obtain target data points