Marketing Team Feature Guide

These Geopointe features will boost your marketing insight, helping you build more powerful campaigns and better understand your target market. 

Build Filtered Data Sets
Filter your mapped data by field values, such as industry or annual revenue, then fine-tune your communications and marketing for a target region.

Find Optimal Event Locations
Search Google and identify the most ideal event venue based on proximity to records on the map. You can add these locations to Salesforce or save them inside Geopointe for later use.

Build Campaigns From the Map
Take a geographical perspective when developing outreach and other marketing campaigns by adding records to a marketing campaign directly from the map.

Map Campaign Members
Follow a few simple steps to configure your Campaign Member object for mapping, so you can fine-tune your campaign messaging based on geography of existing members.

Visualize Data With Custom Markers
Create custom markers with icons and colors to help you display trends in marketing campaign results and other useful information for marketing analysis.

Assign Territories and Designate Regions
Build shapes and assign them as territories, or designate them for special processes or campaigns.

Business and People Data
Gain rich insight about potential leads and geographically compare existing Salesforce data to new opportunities.

Create a Demographics Layer
Boost your marketing insight with regional demographics such as average income, age, etc.

View Geospatial Data on Top of Your Data
Upload a KML layer to gain additional insight about target regions, such as weather patterns, air quality, crime statistics, and more.

Create free-form shapes or use our shape library to define boundaries by zip code, state, or other regions. Then, perform aggregated analysis, execute list actions, and use other tools to build geographically-based marketing campaigns.

Apply Custom Data Display Options
Apply various display settings such as heat mapping, marker aggregation, and weighted values, so you can better analyze and understand your data.