Geo-Targeted AI Advertising
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Geo-Targeted AI Advertising

AdReach Media — Hyperlocal Advertising Platform

The Challenge

AdReach helped 200+ local businesses run ads across cities. Their biggest problem: they spent the same budget advertising to people 80 km away as to people 2 km away. No system knew which audience segment in which neighbourhood was actually converting. 40% of every ad budget was invisible money — spent, but never tracked to a real customer walking through a door.

How It Works

📍 AD📍 AD📍 ADAIYOUR BUSINESSAUDIENCE AAUDIENCE BAUDIENCE CAI TARGETING ENGINEAD CAMPAIGNGEO AI TARGETING1 SOURCE → N AUDIENCES94.3% AUDIENCE MATCH

Your business (source) feeds one campaign into the AI engine. The engine scores every audience segment by location, time, and buying intent — then routes your ad budget to the highest-converting micro-zones in real time.

Our Solution

We built an AI-powered geo-targeting engine that maps a business's ideal customer radius, scores every audience segment by location, behaviour, and buying intent, then dynamically routes ad spend to the highest-converting micro-zones — in real time. One campaign. One source. Precision delivery across every target city and neighbourhood.

What We Built

  • Built a location intelligence layer using GPS signals, neighbourhood income data, and foot-traffic patterns to score every 500m radius around a business
  • Designed an AI audience-matching engine: given a source business profile, it identifies the 3–5 audience clusters most likely to convert — by location, time of day, and past purchase signals
  • Created a dynamic budget-routing system that shifts ad spend in real time between geographic zones based on live conversion signals (store visits, calls, form fills)
  • Built an interactive campaign map dashboard where business owners see exactly where their ads are showing, who's seeing them, and which locations are driving actual revenue
  • Integrated with Meta Ads, Google Ads, and programmatic display networks — all controlled from a single AI-powered campaign manager
  • Added cross-city expansion module: when a business opens a second location, AI auto-generates a new geo-targeted campaign using learnings from the first

Results: Before vs After

MetricBeforeAfterChange
Ad budget wasted on wrong zones40%6%↓ 85%
Cost per store visit (CPV)₹420₹68↓ 84%
Audience match accuracy51%94.3%↑ 85%
Campaign setup time3–4 days22 minutes↓ 96%
Revenue attributed to AI-routed ads₹12L/month₹58L/month↑ 383%
Businesses scaled to multi-city467↑ 16× in 5 months

Timeline

6 weeks from data connection to live campaigns

Technologies

PythonMeta Marketing APIGoogle Ads APIPostGISRedisNext.jsOpenAI EmbeddingsMapbox GL

Before this, we were guessing which neighbourhoods to target. Now the AI tells us exactly where to spend every rupee — and we can see it working on a live map. Our cost per customer dropped by 84% in 8 weeks.

Karan Mehta, Founder — AdReach Media

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