{"id":4484,"date":"2018-10-17T07:46:49","date_gmt":"2018-10-17T05:46:49","guid":{"rendered":"https:\/\/www.recolize.com\/?p=4484"},"modified":"2018-11-07T07:11:25","modified_gmt":"2018-11-07T06:11:25","slug":"individual-recommendations","status":"publish","type":"post","link":"https:\/\/www.recolize.com\/en\/blog\/individual-recommendations\/","title":{"rendered":"The Power of Real Individual Recommendations"},"content":{"rendered":"
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Many e-commerce, blog and CMS systems offer so-called recommendations. These recommendations for systems like Magento, Shopware, WooCommerce, WordPress, PrestaShop or Spryker are manual recommendations<\/a>.<\/p>\n

You can e.g. use category based recommendations or simple upselling logics for your cart.<\/p>\n

But are manual recommendations enough and can they really be compared to real automated and personalized recommendations? Not at all!<\/p>\n

The Difference<\/h2>\n

There are three main differences between manual and individual recommendations:<\/p>\n

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  1. Manual recommendations are static or attribute based. Personal recommendations are user behaviour based.<\/li>\n
  2. Manual recommendations look the same for every website visitor. Individual recommendations show the suggestions based on personal user profiles.<\/li>\n
  3. Manual recommendations require lots of maintenance effort. Individual recommendations use machine learning technologies and learn automatically to generate perfect matching recommendations.<\/li>\n<\/ol>\n

    Feature Comparison<\/h2>\n

    In the following table you can find a comparison of the features of a real recommendation engine like Recolize with manual recommendations.
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    \n \n \n\n \n\n \n \n\n\n Feature<\/th> wdt_ID<\/th> Recolize<\/th> Manual Recommendations<\/th> <\/tr>\n<\/thead>\n \n\n \n \n\n \n \n \n \n \n \n \n \n \n \n
    Manual Recommendations<\/td>\n 1<\/td>\n <\/i><\/td>\n <\/i><\/td>\n <\/tr>\n
    Cross-Sells based on Attributes (e.g. Category)<\/td>\n 2<\/td>\n <\/i><\/td>\n <\/i><\/td>\n <\/tr>\n
    Basic Upselling<\/td>\n 3<\/td>\n <\/i><\/td>\n <\/i><\/td>\n <\/tr>\n
    Advanced Personalized Upselling <\/td>\n 4<\/td>\n <\/i><\/td>\n <\/i><\/td>\n <\/tr>\n
    Personalized Individual Recommendations<\/td>\n 5<\/td>\n <\/i><\/td>\n <\/i><\/td>\n <\/tr>\n
    Automated Personalized Cross-Sells<\/td>\n 6<\/td>\n <\/i><\/td>\n <\/i><\/td>\n <\/tr>\n
    Enhanced Filter Rules<\/td>\n 7<\/td>\n <\/i><\/td>\n <\/i><\/td>\n <\/tr>\n
    Realtime Dashboard<\/td>\n 8<\/td>\n <\/i><\/td>\n <\/i><\/td>\n <\/tr>\n
    URL-based Rules<\/td>\n 9<\/td>\n <\/i><\/td>\n <\/i><\/td>\n <\/tr>\n
    Integration on Every Page Type<\/td>\n 10<\/td>\n <\/i><\/td>\n <\/i><\/td>\n <\/tr>\n <\/tbody> \n\n \n \n \n\n <\/table>\n\n<\/div>