Keywords as Intent Triggers<\/h2>\n\n\n\n![\"Keywords](\"https:\/\/reverseads.com\/blog\/wp-content\/uploads\/2021\/03\/RAD_Blog31_Graphic01-225x300.png\")
<\/figure><\/div>\n\n\nKeywords have the power to connect these dots and help businesses accurately predict where a buyer is heading next. Every webpage can be crawled to locate the highest-intent keywords related to a product or service being considered. These keywords can then be assigned to the specific machine IDs that are engaging with them. As keywords accumulate, a buyer\u2019s profile begins to take shape and connections are made. We call this a \u201ckeyword cluster\u201d, and we use this cluster to determine where on the path to purchase a buyer currently exists.<\/p>\n\n\n\n
Various keyword combinations demonstrate intent levels, as different keywords are used at different stops on the buyer\u2019s journey. As campaigns run for extended periods of time, millions of users and instances of keyword combinations are analyzed using machine learning. This is ultimately how a predictive roadmap starts to take shape, and how ReverseAds is able to accurately predict where a buyer will go next based on their keyword clusters and trends from similar buyers.<\/p>\n\n\n\n
Machine Learning Algorithms<\/h2>\n\n\n\n
Machine Learning algorithms build models based on sample data in order to make predictions. Within advertising, machine learning is transforming how advertisers approach their campaigns. By using machine learning to pinpoint keywords, assign intent value, and look for trends, it is possible to make accurate predictions on where a buyer will go next. This opens the door to many more opportunities for conversion, as you can capture buyers that haven\u2019t yet reached the middle or bottom of the funnel.
Furthermore, machine learning makes it possible to predict what offer or call to action is most likely to generate engagement. As data is collected around an ad campaign, businesses can deploy dynamic ads that account for previous content engagement.<\/p>\n\n\n\n
ReverseAds\u2019 Predictive Keyword Road Mapping<\/h2>\n\n\n\n
Most advertisers are familiar with Google Search Ads. With Google Ads, you must wait for a person to reach the point of conducting a search using a keyword that your business is targeting. Then, as soon as someone searches using one of your keywords, you have a single opportunity to inspire them with your ad and convince them to click.<\/p>\n\n\n\n
ReverseAds has reverse engineered this process. Our Keyword Road Mapping algorithm identifies people that are moving towards a purchase and roadmaps the most likely stops along the way. This makes it possible to predict where a buyer will be and what phase of the buyer\u2019s journey, they will be in. This allows us to capture the other 97% of potential customers that are not in the active buyer phase, compared to the 3% of the market that Google Search Ads target.<\/p>\n\n\n\n
<\/figure><\/div>\n\n\nKeywords have the power to connect these dots and help businesses accurately predict where a buyer is heading next. Every webpage can be crawled to locate the highest-intent keywords related to a product or service being considered. These keywords can then be assigned to the specific machine IDs that are engaging with them. As keywords accumulate, a buyer\u2019s profile begins to take shape and connections are made. We call this a \u201ckeyword cluster\u201d, and we use this cluster to determine where on the path to purchase a buyer currently exists.<\/p>\n\n\n\n
Various keyword combinations demonstrate intent levels, as different keywords are used at different stops on the buyer\u2019s journey. As campaigns run for extended periods of time, millions of users and instances of keyword combinations are analyzed using machine learning. This is ultimately how a predictive roadmap starts to take shape, and how ReverseAds is able to accurately predict where a buyer will go next based on their keyword clusters and trends from similar buyers.<\/p>\n\n\n\n
Machine Learning Algorithms<\/h2>\n\n\n\n
Machine Learning algorithms build models based on sample data in order to make predictions. Within advertising, machine learning is transforming how advertisers approach their campaigns. By using machine learning to pinpoint keywords, assign intent value, and look for trends, it is possible to make accurate predictions on where a buyer will go next. This opens the door to many more opportunities for conversion, as you can capture buyers that haven\u2019t yet reached the middle or bottom of the funnel.
Furthermore, machine learning makes it possible to predict what offer or call to action is most likely to generate engagement. As data is collected around an ad campaign, businesses can deploy dynamic ads that account for previous content engagement.<\/p>\n\n\n\n
ReverseAds\u2019 Predictive Keyword Road Mapping<\/h2>\n\n\n\n
Most advertisers are familiar with Google Search Ads. With Google Ads, you must wait for a person to reach the point of conducting a search using a keyword that your business is targeting. Then, as soon as someone searches using one of your keywords, you have a single opportunity to inspire them with your ad and convince them to click.<\/p>\n\n\n\n
ReverseAds has reverse engineered this process. Our Keyword Road Mapping algorithm identifies people that are moving towards a purchase and roadmaps the most likely stops along the way. This makes it possible to predict where a buyer will be and what phase of the buyer\u2019s journey, they will be in. This allows us to capture the other 97% of potential customers that are not in the active buyer phase, compared to the 3% of the market that Google Search Ads target.<\/p>\n\n\n\n