How to create custom filters

Our biggest differentiating feature as a no code custom map maker is that we auto-generate filters based on the imported dataset.

Our intelligent data processor can differentiate between:

• Basic Information - things you wouldn't want to use as filters like address, name, description, phone, website, vs

• Filter data - data you want to be generated as custom map filters.

Our data processor will automatically exclude those columns that are "basic information" and turn the remaining columns into custom filters. Depending on your data format (i.e. number vs text vs multi-value text), we will also create different styles of filters, like scale for numbers and category for texts.

With custom map filters, your custom map is more than just an interactive clickable display map, it becomes a powerful business tool that can help your customers quickly filter and find:

1. the store that sells the product they are after

2. the restaurant they want to try and book

3. an interesting event they didn't know was happening near them

4. the accommodation they wanted

5. the charity they would want to donate to

The list goes on. It will make the information significantly more digestible.

No Code Map App can convert your data into any kind of filter:

1. Text filters - like 'business type', 'category', 'theme'

2. Number filters - like 'rating', 'price per night'

3. Single or multi-value filters - like 'amenities', 'available products', 'purchase option'

Multi-value filters - you can also include multi-value filters like "amenities" and you just need to separate each by comma (e.g. 'Free WiFi, Parking').

If you want more filters, just add more columns of data! Our builder can process up to 15 columns of custom data and it will auto-differentiate which columns are basic information and which are filterable data.

The most amazing part is that these filters are all auto-generated based on the data you fed into our system. All you need to do is include the data in your spreadsheet.

Each column would become a filter and the column heading will the filter name.

That's it!

Nan