Retail Protection & Analytics Software
Budget: $5,000 – $10,000 USD
I'm looking for a skilled software developer who can create a comprehensive e-commerce platform protection and analytics tool for e-commerece store.
Key Requirements:
1. Protection from Hijacking:
- Implement mechanisms to prevent hijackers from injecting adware on my platform. The software should have the ability to detect and eliminate such threats.
2. Real-time Customer Journey Analytics:
- Build a robust analytics module that can track and provide insights on customer behavior, sales trends, and website traffic.
Application Requirements:
- Please include your past work related to e-commerce protection and analytics in your application.
- Successful applications should demonstrate their expertise in creating similar software and its effectiveness in protecting e-commerce platforms and providing real-time analytics.
It operates by running on every visitor session, detects and blocks
unauthorized ads injected into the customers’ browsers and devices when
they download extensions, freemium applications, or even when they use the
complimentary wi-fi at their local café. By preventing this, users will
experience the customer journey exactly the way it was intended by the
actual e-commerce retailer. It intends to take back around 20% of customer’s
journeys and increase the conversion rate by around 4-5% (as discussed in
the market assessment section). The proposed solution will:
• Detect what third-party code executes on your customers’
devices regardless of version, Operating System/browser, or
geography
• Analyze for suspicious or unauthorized code
• Identify data trackers (cookies, pixels, beacons, web storage)
collecting data on your valuable customers.
• Gain insights into how third-party code impacts performance
• Benchmark e-retailers’ site versus comparable sites’ third-party
code impact
• Identify opportunities for revenue growth
The solution provides a dashboard showing the following:
It runs as the e-retailer’s page is loaded on the customer device or
browser before code injections operate in under 100 milliseconds.
• Smallest footprint possible
The load time exactly stays the same and it doesn’t affect the site’s
performance at all.
• Zero false positives
The algorithms will only block unauthorized ads that are injected into
customers’ website
• Powered by Machine Learning
It will use advanced ML to block 100% of consumer-side ad
injections
• Powered by the Network
It will maintain the industry’s blacklist with maximum domains per
month, and detect new types of hijackers to ensure hijacking
prevention.
Key Requirements:
1. Protection from Hijacking:
- Implement mechanisms to prevent hijackers from injecting adware on my platform. The software should have the ability to detect and eliminate such threats.
2. Real-time Customer Journey Analytics:
- Build a robust analytics module that can track and provide insights on customer behavior, sales trends, and website traffic.
Application Requirements:
- Please include your past work related to e-commerce protection and analytics in your application.
- Successful applications should demonstrate their expertise in creating similar software and its effectiveness in protecting e-commerce platforms and providing real-time analytics.
It operates by running on every visitor session, detects and blocks
unauthorized ads injected into the customers’ browsers and devices when
they download extensions, freemium applications, or even when they use the
complimentary wi-fi at their local café. By preventing this, users will
experience the customer journey exactly the way it was intended by the
actual e-commerce retailer. It intends to take back around 20% of customer’s
journeys and increase the conversion rate by around 4-5% (as discussed in
the market assessment section). The proposed solution will:
• Detect what third-party code executes on your customers’
devices regardless of version, Operating System/browser, or
geography
• Analyze for suspicious or unauthorized code
• Identify data trackers (cookies, pixels, beacons, web storage)
collecting data on your valuable customers.
• Gain insights into how third-party code impacts performance
• Benchmark e-retailers’ site versus comparable sites’ third-party
code impact
• Identify opportunities for revenue growth
The solution provides a dashboard showing the following:
It runs as the e-retailer’s page is loaded on the customer device or
browser before code injections operate in under 100 milliseconds.
• Smallest footprint possible
The load time exactly stays the same and it doesn’t affect the site’s
performance at all.
• Zero false positives
The algorithms will only block unauthorized ads that are injected into
customers’ website
• Powered by Machine Learning
It will use advanced ML to block 100% of consumer-side ad
injections
• Powered by the Network
It will maintain the industry’s blacklist with maximum domains per
month, and detect new types of hijackers to ensure hijacking
prevention.