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
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
| Metric | Before | After | Change |
|---|---|---|---|
| Ad budget wasted on wrong zones | 40% | 6% | ↓ 85% |
| Cost per store visit (CPV) | ₹420 | ₹68 | ↓ 84% |
| Audience match accuracy | 51% | 94.3% | ↑ 85% |
| Campaign setup time | 3–4 days | 22 minutes | ↓ 96% |
| Revenue attributed to AI-routed ads | ₹12L/month | ₹58L/month | ↑ 383% |
| Businesses scaled to multi-city | 4 | 67 | ↑ 16× in 5 months |
Timeline
6 weeks from data connection to live campaigns
Technologies
“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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