Codelia vs CouponMate

Codelia

Codelia
Codelia

Headless CMS to develop websites and e-commerce

Headless CMS to develop websites and e-commerce faster and with the maximum flexibility. Made for developers and marketers. Developers can create a custom back-end and get the content through the API in JSON format. They can develop using their favorite programming language or framework and with the maximum flexibility, creating their own functions managing the content in every way. Marketers can create, plan and manage content through a custom and powerful back-end. They can manage all the content structure of websites and e-commerce without writing a single line of code and without asking help to developers. It's also possible to manage multiple projects in one single place, creating different users with different user roles and privileges.

Location: Verona, Italy

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CouponMate

CouponMate
CouponMate

Browser extension that automagically searches for coupons

Coupon Identification & Collection Methodology:
In terms of backend end technology, we act as a meta crawler for codes using a variety of methodologies, from standard natural language processing to optical character recognition.

Every minute of the day, we’re actively crawling retailer’s sites, parsing their emails, SMS blasts, and social feeds while simultaneously monitoring other media outlets to source the latest and greatest codes.

Overall Site Support:
We detect code response, as in success or failure of a coupon specific to each site, on any type of site: static HTML, ajax-based or even mixed mode sites.

Overall, we monitor roughly 200,000 domains and variants for coupon codes currently. Roughly 80,000 of those have codes at the moment. Even if a site isn't supported for automatically applying a code, you're able to view coupons any time.

Automation / Coupon Validation:
We algorithmically validate coupons for sites enabled for full automation (aka Find Best Coupon functionality) daily. The moment we see a code applied that comes back “invalid”, “expired”, or a similar explicit failure — we remove it from our database. This allows for a sort of collective intelligence for all users to benefit from.

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