Machine-learning technology for Google Ads campaigns automated optimization
A Spanish start-up has developed a machine-learning technology for Google Ads campaigns optimization. It is based on artificial intelligence and NLP (Natural Language Processing) for semantic targeting in Google Ads, which means automatization of a process that up until now was manual. The company is looking for commercial agreements with technical assistance.
The Spanish company is looking for international digital media agencies with a portfolio of clients in mainly the following sectors: Insurance, telecom, ticket sales, e-commerce, and car rental. The partner sought role is to integrate this technology into its solution portfolio in order to improve the service provided to its clients. The kind or partnership sought is commercial agreement with technical assistance.
Nowadays, digital marketing advertising campaigns are almost completely automatized. Different solutions provide easy management of client traffic, affiliate marketing, search engine optimization, ad inventory for publishers and other tools that are mainly used by media agencies in charge of their clients' digital marketing. Nevertheless, not every process has been automated and extremely important tasks such as keyword management for Google Ads campaigns are carried out by SEM managers that use Excel, so it is still a very manual process (it has being carried by this procedure for the last 19 years). In this context, the Spanish start-up has developed a machine-learning technology for Google Ads campaigns automated optimization. The technology follows a continuous keyword-feed methodology based on a machine learning algorithm that is applied to Google AdWords campaigns for maximizing ROI (Return On Investment). It uses artificial intelligence and NLP (Natural Language Processing) for semantic targeting in Google Ads that allows to deduce the most profitable keyword for a client and delete or neutralize those that do not add value. Therefore, the advertising campaigns created with this technology will have a bigger impact. Main solution features are the following: -Search term analyzer: It analyses the account search terms report, checking if they fulfill certain characteristics in order to check their value. This allows discovering value keywords that improve the quality score. -Keyword inflation avoider: It prevents the adding of keywords that the client has already bid on, and enhance new terms that did not appear in the account before. -Word influence analyzer: It analyses the words that form every search term determining their influence in terms of performance and investment. This allows detecting those that affect negatively. -The technology works in real time and in any language. The solution fits in many different retail sectors but up until now has been successfully applied to sectors such as insurance, telecom, ticket sales, e-commerce and car rental. The company is looking for foreign digital media agencies willing to incorporate this technology under a commercial agreement with technical assistance.
Advantages and innovations
-This is the first solution in the market that automates the keyword management for Google Ads campaigns, a process that is carried on by SEM managers using Excel. -Easy implementation compatible with existing SEM (Searching Engine Marketing) management tools. -Language agnostic and search engine agnostic. -It also optimizes long-tail and mid-tail keywords. -It allows identifying new niches to create specific ad groups.
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