Recommend and Re-target
Vanilla websites serve the same ”most popular” content or subjective selections to all visitors. This effectively assumes that all of your website visitors want the same -an assumption that restricts customer engagement and limits your brand to price-lead competition and margin pressure. Imagine going to your local DIY store to buy some nails, only to be persistently sold a matt white paint. You might find the nails but it quickly becomes apparent that the just want to sell you paint because its selling well even though 80% of shoppers aren’t buying it. The same scenario happens in vanilla websites across all major verticals where individual customer interests under served.
Maxymiser provides contextual recommendation and re targeting campaigns based on blended modeling of many different data assets. These include:
- visitor and product affinity patterns
- propensity models which determine visitor and customer interest
- session and offline data to segments recommendations
- contextual information gained from semantic modeling
Our Recommend and Re-target solutions enables marketers to leverage Maxymiser’s blended visitor level data and deliver inventory and promotional campaigns from large sets of assets to automatically to create highly targeted selections of content.
Examples include:
- personalized content, products or services for each visitor
- whole pages and processes can be personalized for maximum ROI
- re-targeted content products of services for each visitor
- personalized and re-targeted navigation blocks to improve engagement
- contextualized selections based on a visitors most recent interest areas
This form of personalization delivers immediate ROI and builds strategic engagement with visitors and customers. It can also be delivered using Maxymiser’s One Touch methodology, making it easy for any website to get started. By delivering recommendations and retargeting you visitors benefit from intelligence gained across multiple campaigns and marketers can make major gains in engagement metrics and ROI.
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