Commercial Real Estate Mapping: How to Plot Listings and Comps in Google Sheets

Commercial real estate mapping is the process of plotting your CRE data-listings, comps, and client properties-onto a geographic interface. Using the free InstaMaps Google Sheets add-on, brokers can map spreadsheets into live, colour-coded maps using formulas like =INSTAMAP() and =COUNTY().

This tool is for independent CRE brokers who need a visual layer for their existing spreadsheet data but cannot justify hundreds in monthly subscription fees. You will finish with an interactive map to use in client pitches, capable of filtering 150 active listings by exact square footage and submarket boundaries.

Why Proximity Dictates Commercial Real Estate Values

Commercial real estate values are dictated by physical location. Two office buildings with identical square footage on opposite sides of a motorway can have entirely different capitalisation rates. When assessing comparables (comps), a sale from the immediate block carries significantly more weight than a sale from across the city.

This concept, known as "mere closeness," is documented in the Journal of Marketing study, "The Role of Mere Closeness: How Geographic Proximity Affects Social Influence." The research demonstrates that geographic proximity directly increases credibility and social influence. In commercial real estate, this means a broker who has closed multiple deals on a specific street holds demonstrable pricing authority in that submarket.

A standard spreadsheet sorted by sale date cannot illustrate this spatial authority. It shows what closed and for how much, but it hides the geographic clusters where a broker actually operates. Mapping your portfolio visualises your sphere of influence.

When prospecting for new mandates, a map showing five recent sales on a single block provides immediate, visual proof of your submarket expertise to a property owner. According to the Appraisal Institute's guidelines in The Appraisal of Real Estate, proximity is the primary indicator of comparability. By mapping your active listings and closed comps, you replace generic market reports with hyper-local, data-backed evidence of your dominance in a specific corridor.

CoStar and Reonomy charge hundreds per month for proprietary data, but they do not map your specific closed deals in a shareable format for clients. Mapping your own data in Google Sheets allows you to colour-code your active listings and comps, creating a visual barrier to entry for competitors who cannot prove the same block-by-block presence.

How to Map Your CRE Portfolio in Google Sheets

To begin commercial real estate mapping, structuring your Google Sheet with separate tabs is crucial for colour-coded visualisation. Follow these steps to build your map:

1. Create your data tabs: Open a new Google Sheet. Create a tab named `layer_Listings` (set the tab colour to blue) and another named `layer_Comps` (set the tab colour to green).

2. Format your data: In `layer_Listings`, input your active properties in row 1 for headers: Address, Property Type, Asking Price, Square Footage. In `layer_Comps`, use headers like Address, Sale Price, Sale Date, Cap Rate. Populate rows 2 through 200 with your data.

3. Clean and geocode addresses: You need latitude and longitude coordinates for the map to plot your properties accurately. If your addresses are split across multiple columns (Number, Street, City, ZIP), combine them first. In an empty column (e.g., column F) of the `layer_Listings` tab, type `=GEOCODE(A2:A200)` to process the entire column of addresses simultaneously. The free tier handles 100 lookups per day, or 1,000 per day with a free email unlock.

4. Insert the map formula: Navigate to Extensions > InstaMaps > Enable formulas to open the sidebar. Click the Build-the-workflow button, or simply select an empty cell and type `=INSTAMAP()`.

5. Configure your layers: The `=INSTAMAP()` formula will detect the `layer_` prefix on your tabs and automatically plot the data. Listings will appear as blue pins, and comps as green pins.

6. Filter and share: The InstaMaps interface allows you to filter these layers by any column, such as filtering to only show comps under £5,000,000. The formula returns a live, hosted shareable map URL that automatically updates whenever you add a new property to row 201 or change an asking price. You can share this URL directly with clients without exposing your underlying CRM database.

Worked Example: Mapping 85 Industrial Comps Across Three Submarkets

Consider an industrial broker managing a dataset of 85 recent comps and 12 active listings across three distinct submarkets: Northwest Industrial, Central Logistics, and the Port District.

In the `layer_Comps` tab (rows 2 through 86), the broker has columns for Address (A), Submarket (B), Sale Price (C), and Price Per Square Foot (D). In the `layer_Listings` tab (rows 2 through 13), the broker tracks Address (A), Submarket (B), and Asking Price (C). You can download a pre-configured spreadsheet for this exact structure at get-instamaps.com/templates.

First, the broker geocodes both tabs using `=GEOCODE(A2:A86)` for the comps and `=GEOCODE(A2:A13)` for the listings. Next, the broker uses `=INSTAMAP()` in cell H1 of a new dashboard tab. The map generates immediately, plotting all 97 properties.

Before a client presentation focusing on the Central Logistics submarket, the broker filters the map. By selecting the Submarket column filter and choosing "Central Logistics", the map instantly hides the 65 comps and 9 listings in the other areas. The client sees only the 12 relevant comps and 3 active listings, plotted colour-coded to differentiate closed sales from available properties.

To provide a specific submarket statistic for the pitch, the broker can use the spreadsheet data to calculate the exact median price per square foot visible on the map. If the client asks about a specific neighbouring property, the broker can add it as row 87 in the comps tab, and the map updates instantly without needing to regenerate the URL. This allows the broker to react to client inquiries in real-time during a meeting. Finally, the broker can export the filtered 12 comps to a new tab, sharing only those specific properties with the client via Google's native sharing.

CRE Formulas: Distance, Counties, and Territory Mapping

Beyond basic visualisation, InstaMaps provides specific geographic formulas for deeper commercial real estate mapping analysis. You can insert these without typing by using the Extensions > InstaMaps sidebar.

1. Grouping Comps by County (`=COUNTY()`): In many markets, county lines dictate tax rates and municipal regulations. To categorise your comps, use `=COUNTY(A2:A200)`. This returns the exact county for each property address. You can then group your spreadsheet by county to analyse average sale prices across different tax jurisdictions without leaving Google Sheets.

2. Calculating Exact Distances (`=DISTANCE()`): Proximity is quantifiable. If you are appraising a target property in cell A2 and want to prove its value based on a nearby comp in cell A45, use `=DISTANCE(A2, A45)`. This returns the exact distance in miles or kilometres. Stating "We closed a sale 0.4 miles away at £285 per square foot" carries more weight than a generic neighbourhood average.

3. Defining Coverage Zones (`=TERRITORY()`): Brokers often specialise in specific geographic territories. By assigning postal codes or city names to specific broker names in your sheet, `=TERRITORY()` assigns each property to the correct broker based on its coordinates. This prevents overlapping mandates and ensures you are only prospecting in your designated submarkets.

Filtering and Sharing Maps with Clients

To build a client presentation, filter your `layer_Listings` tab to match specific criteria. In Google Sheets, create a filter view (Data > Filter views) and set a condition, such as showing only rows where the cap rate exceeds 6% or the square footage surpasses 10,000. Once filtered, copy these rows into a new tab named `layer_Curated_Deals`. Because InstaMaps reads layers based on tab prefixes, the map updates automatically to show only these specific opportunities.

Instead of sharing the raw spreadsheet, generate a live map URL. In an empty cell, type `=INSTAMAP()`. The function returns a hosted shareable map URL that updates when the sheet changes. When a client clicks this link, they view an interactive map without needing add-on access or navigating a spreadsheet. They only see the properties you curated on the `layer_Curated_Deals` tab.

For physical property tours, map the curated opportunities. Use `=SORT_BY_DISTANCE(A2:A15, B1)` to order the properties logically from a starting point. Then, build a driving route using `=ROUTE_LINK(C2:C12)`. Because this uses Google Maps' official URL scheme, it supports a maximum of 11 stops. This creates a clean, click-to-navigate experience for clients driving between properties.

Limits and Honest Alternatives

The InstaMaps add-on is free, but it operates on a daily lookup quota. The standard free tier provides 100 lookups per day. If you need to geocode a large database of historical comps, you can trigger a free email unlock to increase this limit to 1,000 lookups per day. If you have over 1,000 rows, spread the geocoding across multiple days or use `=COORD_CONVERT()` if your CRM already provides latitude and longitude coordinates, which bypasses the lookup limit entirely.

Route generation also has a hard limit. The `=ROUTE_LINK()` function relies on Google Maps’ official URL scheme, which caps itineraries at a maximum of 11 stops. If you are planning a bus tour for investors with 15 properties, you must split the route into two separate `=ROUTE_LINK()` formulas to cover the full itinerary.

InstaMaps is a visualisation layer, not a proprietary database. It will not replace CoStar or Reonomy. You still need those platforms to pull raw ownership records, lease comps, and tenant data. Use CoStar to research the owner of a 20,000-square-foot industrial facility, then paste that data into Google Sheets. InstaMaps maps that data to calculate proximity using `=DISTANCE()` or to identify the exact submarket using `=COUNTY()`, but it does not supply the raw ownership data itself.

Who This Mapping Workflow Is For

This workflow fits specific commercial real estate professionals better than others. Mapping your spreadsheet provides different values depending on your daily operations and portfolio size.

1. Independent brokers and boutique firms: If you manage 50 to 200 active listings and comps, paying hundreds per month for enterprise mapping software cuts into your margins. InstaMaps provides a free method to filter by square footage or cap rate and generate a hosted map URL for clients without software costs.

2. Territory managers: If you oversee a portfolio across multiple regions, you need to know exactly where your assets sit. You can use `=COUNTY()` to audit addresses and `=TERRITORY()` to assign properties to specific sales regions. Use `=DISTANCE(A2, B2)` to calculate the exact mileage between a prospective client site and an active comp.

3. Who should skip this: Analysts at large institutional firms who require live API feeds directly into proprietary databases will find Google Sheets too manual. If you need automated market intelligence rather than visualising your own historical data, stick to paid enterprise tools.

Common Questions