Location Intelligence Software

Location intelligence software puts your business data on a map and layers market and demographic data underneath, so you can read patterns by geography instead of scanning rows. Maptive plots your records, adds census and market context, and turns a flat spreadsheet into a view you can filter, analyze, and share. Sales, operations, and analytics teams use it to decide where to expand, where coverage is thin, and where demand sits unserved, all without a GIS department.

The two overlap, and the difference is mostly emphasis. Location analytics describes the techniques, such as measuring distance, density, or trade-area overlap. Location intelligence is the wider practice of turning those measurements into business decisions, like where to open or how to balance coverage. Maptive covers both on one platform. The analytical tools run on your data, and the map presents the result in a form leadership can act on without interpreting a statistical model.

You upload a spreadsheet, and Maptive's geocoding engine converts addresses into map coordinates, correcting messy formatting and missing ZIP codes as it goes. Your rows become interactive markers you can filter, color-code, and query. From there you layer census and market data, draw trade areas or territories, and run heat maps or drive-time analysis. The whole sequence happens in the browser in one session, so a raw file becomes a working analysis within minutes of signing in.

Teams use it to answer geographic questions their internal reports cannot. Retailers pick store sites, sales operations balance territories, logistics teams plan routes and facilities, insurers read risk concentration, and marketers target spend by demand. The common thread is a decision that depends on where, not only how much. Maptive supports all of these on one platform, which is why a single tool can serve very different departments inside the same company without a separate purchase for each.

No. Maptive is built for business teams, not GIS specialists. You upload a spreadsheet, the platform geocodes it, and the analysis tools work through a plain interface with menus instead of code. Most users have a working map and a first answer within their opening session, and support is on hand to set up the first analysis. The point is to put spatial analysis in the hands of the people who own the decision.

Maptive includes more than 50 US Census variables at state, county, ZIP, tract, and block-group levels, covering household income, population density, age, and household composition, with Canadian data as well. The census data is included on every plan. A growing library of market data categories, drawn from a long-standing data partnership, adds spending and household detail alongside it. That lets you read each record against the market around it instead of treating every location as the same.

A single Maptive map holds up to 200,000 markers, rendered with WebGL so the view stays responsive as you pan and zoom. Your full customer base, prospect list, and site portfolio load together rather than splitting into regional batches. That capacity matters for location intelligence, because the patterns you are looking for, like clusters and coverage gaps, only appear when the whole dataset sits on one screen rather than across separate files.

Yes. You can import data from any CRM through an Excel or CSV export, and Maptive also offers direct integrations that keep maps current as records change. That means the customers and prospects on your map match the same accounts your team manages day to day. Your CRM remains the system of record for contact details, while Maptive becomes the layer that shows where those accounts sit and what the market around them looks like.

Yes. Maptive runs 256-bit SSL encryption in transit and at rest, two-factor authentication, single sign-on, role-based access controls, and audit logging, with regional data-storage options and 99.9% uptime across 2025. It has passed the Salesforce AppExchange security review, and enterprises with strict procurement requirements, including Amazon and the US Department of Energy, have already approved it. Permissions can be set down to the individual user, so each person sees only the data they should.

Start a ten-day free trial with no credit card, then upload a spreadsheet, paste from your clipboard, or connect a live Google Sheet. The geocoding engine plots your data, and a working map is ready within the first session, with every tool unlocked. You can also book a demo to see the platform applied to your own data first. Either way, the barrier to a first insight is a file you already have, not a long setup.