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Writer's pictureNan Zhou

Maps that can convert website visitors to customers

Marketers and businesses are focused on conversion more than ever. Now you got people to your website, the key now is keep them engaged and convert them (whatever conversion action meaningful to you).


A map with more built-in clickables, media, location details, and calls-to-action also means your visitors have more ways to engage and convert. At the same time, you will also get more data on your website visitors. These data will help you gain more insights into your potential customers - what are they look for, top searches and calls-to-action etc.


Maps are naturally engaging, but we want to make sure you can maximise engagement and conversion as fast as possible. So it can't just be any map or custom map builder. No Code Map App want to enable business to:

  • effortlessly build on-brand, engaging maps with high conversion,

  • understand how your site visitors are interacting with your map and what they are looking for, and

  • understand what changes are needed to improve conversion and automatically have these automatically generated.



Building a positive loop


Our map builder is built with the goal of building a positive loop between data and conversion. First, we enable you to use your data and business apps to build a map to engage your website visitors and get more data on them. Then, these data will help you build a more relevant map which will in turn will get you more engagement and conversion. Each round iteration will further enhance your website visitor engagement and conversion. The best of all, it can all be done without having to hire engineers or analysts.


Optimised with AI


With the goal of building a positive loop to further boost your map visitor conversion, over the next couple of months, No Code Map App will undergo a major AI revamp with goal of allowing users to:

  • build a production-ready, custom interactive map faster, without any coding,

  • gain valuable insights from their visitor interactions, including:

    • understand how each map component drive and affect their map performance (is the embedded media engaging, the map marker and label, the font, information displayed, CTA buttons, clickables etc), and

    • learn what their visitors are searching for,

  • then tie those insights into a gen AI capability to make automated design changes as well as identify potential gaps in their geographical presence or dataset.


Please stay tuned!


Nan


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