Automated Targeting
Vary your offerings! The Amadesa platform differentiates between groups of site visitors with different needs and serves each group with the appropriate content variations. When there is a great variety of offerings the platform will be much more effective in serving relevant content to your visitors.
Not sure and want to see the offerings before you show them to the world? Preview! Take advantage of Amadesa's simulation tool, and preview your content variations to check out how the different offerings work on your page, before you actually go ahead and run them on your live site.
Remember that the platform needs some "learning time", and it may take some time before it produces effective results. Over time, as the platform learns your visitors' behavior, it will fine tune the match between offerings and visitors and produce better results.
- Work with your creative team to prepare your different content versions
- Have the HTML code ready for each of the content variations you create.
- Coordinate with your analytics package. The Amadesa platform is able to integrate with a number of different analytics tools.
Before you start think about:
- Your promotions: Select the products or services that you wish to promote on your site and think about how you wish to promote them. Make sure to enlist your marketing team!
- Select your conversion page(s)
- Decide on user segments that you wish to target
Amadesa's Automated Targeting engine personalizes web pages creating comfort, confidence and ultimately driving visitors deeper into the website with higher engagement. Designed to create a customized experience for each visitor, Amadesa's Automated Targeting tool serves highly relevant, personalized content and experience to each individual visitor and customer, in real-time.
Based on learned behaviors and predictive attributes, Amadesa's predictive analytics engine automatically serves content that resonates with each visitor's intent and drives action. The engine collects and utilizes every available data point relative to each individual visitor. The self learning algorithm identifies the most relevant attributes for each site visitor, tracks visitor activity in real time and records past activities. The end result delivers increased loyalty and revenue.
