How to Use TapMap (Advanced Geo Visualizations) – TapClicks

Before you begin: This article is intended for TapClicks users who are familiar with dashboards, report, and creating widgets. If you need additional guidance on these topics, refer to:

For details on configuring a Smart Connector for use in a TapMap widget, please refer to How to Use Smart Connector Geo-Settings.

For more information about TapMap in general, please refer to FAQs: TapMap. Please note that TapMap is included in the TapInsights package. If you do not see TapMap as an option in a geo widget, contact your Customer Success Manager (CSM) for more information.

What is TapMap?

TapMap is an advanced Geo-visualization tool that allows you to create interactive and visually engaging maps within the TapClicks platform. With TapMap, you can plot and analyze location-based data, enhancing your data-driven decision-making process.

How to Create a TapMap Widget

1] Navigate to the Dashboard or Report where you want to use a TapMap widget and create a Data Widget.

2] Choose a Data Category and Data View that supports Geo data. Data Views that support Geo will have a special location pin icon to the right when selecting them.

3] At the top of the widget menu, click the Geo Chart option.

4] Then, click the Styles tab.

5] Change the plot type to TapMap. Change the plot type to TapMap. If TapMap isn’t a visualization option in the dropdown, please contact your CSM or customercare@tapclicks.com for more information.

6] Select an option from the Map Type dropdown menu.

7] You may also adjust the following style options as you see fit:

Hide Geographic Features: Enable to hide map features like roads, parks, and water bodies for a cleaner visualization.
Hide Zero Values: Enable to exclude data points with zero values from the map display.
Geo Layer Opacity: Adjust the transparency of geographic layers, with 0 being fully transparent and 100 being fully opaque

8] Scroll down and choose a Layer Option that matches your data.

9] After you have finished configuring and styling your new TapMap, click Save at the bottom of the widget menu.

Understanding TapMap Geo-Layers

TapMap offers multiple Geo-layers to visualize data at different levels of granularity. Each layer allows users to analyze performance trends across various geographic boundaries.

Country Level

Aggregates data at the country level.
Helpful for monitoring key metrics by country to quickly spot trends and adjust strategies.
Example: To compare ad impressions across the US, Canada, and the UK, selecting the "Country" layer will aggregate data for each country.

State/Province Level

Displays data at the state or province level within a country.
Useful for analyzing performance differences between states or provinces.
Example: A campaign running in the US can identify which states have the highest engagement.

City Level

Aggregates data at the city level.
Ideal for understanding city-specific trends and optimizing local campaigns.
Example: A retail chain can analyze ad performance in cities like New York, Los Angeles, and Chicago to determine where to focus marketing efforts.

County Level

Displays data at the county level within a state.
Useful for regional advertising campaigns that require a more detailed breakdown than the state level.
Example: A political campaign might use county-level data to target specific areas with high engagement.

Congressional District Level

Displays data by US Congressional Districts.
Primarily used in political advertising and advocacy campaigns.
Example: A campaign manager for a congressional election can analyze engagement within specific districts.

Designated Market Areas (DMAs)

Displays data based on Nielsen Designated Market Areas (DMA), which group geographic regions by media markets.
Essential for television and digital marketing strategies that align with media markets.
Example: A TV network running regional campaigns can track performance in the New York DMA versus the Chicago DMA.

Zip Code Level

Displays data at the zip code level.
Best for hyper-localized marketing and targeting.
Example: A local business running Google Ads can determine which zip codes generate the most leads.

Note: All geo-layers are compatible with all data sources and Smart Connectors, provided that the connector and its associated geo-layer contain geographic data.