Local Marketing Benchmarks 2026

Use local marketing benchmarks to judge call, booking, map, and in-market discovery performance without blending local service intent into national acquisition targets. Calls, bookings, store visits, Google Business Profile actions, and geography-weighted intent.

Last updated March 2026

Benchmark Snapshot

Core FocusLocal Intent
Primary MetricsCalls · Bookings · Store Visits
Geo SensitivityHigh

Local Marketing Benchmarks Snapshot

Top-level local marketing benchmarks for maps, Google Business Profile, local service ads, click-to-call, store-visit, and geography-sensitive conversion actions.

ContextMedianTop QuartileBest For
Google Business Profile Actions7.4%12.8%Map-driven discovery and near-me demand
Local Service Ads Lead Rate16%24%Urgent service intent and booked-call efficiency
Click-to-Call Campaigns11.2%18.6%Mobile-first lead capture with low friction
Store Visit Objectives5.5%9.1%Retail and multi-location foot-traffic goals
Review / Reputation Pages3.2%6.4%Trust-driven conversion support near decision time

Calls, bookings, store visits, Google Business Profile actions, and geography-weighted intent.

What Moves Local Marketing Benchmarks

The factors that most often explain why a result lands above or below the range.

Driver
Geography, competition density, and how local demand behaves inside one metro or service radius
Mobile intent and the speed of actions like calling, routing, or booking from map surfaces
Operational follow-through, especially answer rate, scheduling coverage, and location reputation
Platform differences between maps, local ads, and website-driven local landing pages

How to Use Local Marketing Benchmarks

  1. Benchmark local marketing by metro, service line, and mobile behavior before setting one blended target.
  2. Pair local ad benchmarks with call answer rate, booked outcome rate, and operational coverage so media does not outrun fulfillment.
  3. Use local pages as bridges into phone-call, store-visit, and geography benchmark layers.

How Benchmarketing reads these benchmarks

The Benchmarketing 4-Band Method. The Benchmarketing 4-Band Method reads every marketing metric against four percentile bands — P25 (bottom quartile), median, P75 (top quartile), and elite (top ~10%) — for a specific industry and channel, instead of a single cross-industry average. Averages blend brand and non-brand campaigns, $500/month and $500,000/month accounts, and unrelated industries into a number almost nobody actually has.

Where the numbers come from. The figures on this page come from the Benchmarketing benchmark dataset — thousands of curated benchmark observations across channels, industries, and US metro areas. Every statistic traces to a named source: WordStream Google Ads Benchmarks (2024), Meta Business Insights (2024), HubSpot Email Marketing Report (2024), Unbounce Conversion Benchmark Report (2024), Databox Marketing Benchmark Report (2024), AdLiftr Snapchat Ads Cost Benchmarks (2026), Ad Badger Amazon Advertising Benchmarks (2026). Benchmarketing does not publish anonymous "studies show" figures.

The Benchmarketing position. Beating the cross-industry average is a vanity milestone, not a target. Compare your number to the P25–P75 band for your specific industry and channel; if you are above average but below your industry's P75, you are leaving performance on the table.

Frequently asked questions

Why are local marketing benchmarks so variable?

They are unusually sensitive to geography, device behavior, and how the business operates, so a single national figure rarely fits a local business.

What should local marketing be measured on?

Maps, calls, bookings, and reviews together, because the local path to a customer rarely runs through one channel.

Related benchmarks

Benchmark Your Campaigns