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Location intelligence for ecommerce brands.
Turn postcode and property data into more sales. AdMapia helps ecommerce brands understand where their best customers live, which products are most relevant in each area, and how to reach more people with similar homes and lifestyles.
Illustrative property profile · fictional example values
Understand your audience
Find the best locations for your products.
Explore postcode areas using property, demographic and geographic data to identify where people with the right homes and lifestyles are most likely to buy your products.
- Property type and size (e.g. detached vs. flat)
- Home value and tenure (owner vs. renter)
- Number of bedrooms and household size
- Lifestyle and income indicators
- Rural vs. urban location insights
Ecommerce opportunity score
- Very high
- High
- Medium
- Low
- Very low
Top postcode districts
| Postcode | Opportunity score | Avg. order value |
|---|---|---|
| GU24 | 98 | £412 |
| RH5 | 96 | £398 |
| OX14 | 94 | £376 |
| SL6 | 92 | £361 |
| RG10 | 90 | £348 |
| CM1 | 88 | £332 |
| GU22 | 86 | £318 |
| SO24 | 82 | £296 |
| TN13 | 80 | £284 |
| BN18 | 78 | £272 |
Understand customer behaviour
See how customers shop by location.
Connect delivery address data and website behaviour to understand what products people view, add to basket and buy in different areas.
- Products viewed and added to basket
- Popular categories by property type
- Seasonal trends and repeat purchases
- Delivery location insights
- Return visits and journey length
Conversion & revenue
Discover what drives your highest value customers.
Compare buyers against non-buyers to identify which property and location characteristics are associated with stronger outcomes.
- Revenue, AOV and ROAS by location
- Top performing product categories
- High-value vs. lower-value customers
- Identify new areas with growth potential
- Optimise product feeds and campaigns
Revenue by property type
Top product categories by revenue
Example ecommerce categories
Different products suit different property types and locations.
From garden furniture for larger homes to space-saving storage for apartments, AdMapia helps you identify the right locations for each product category.
Turn insights into action
Target with confidence and reach more customers.
Use location intelligence to refine your targeting, allocate budget more effectively and find new high-potential locations for your ecommerce products.
- Geographic targeting and bid adjustments
- Product-specific location strategies
- Focus on high-opportunity postcode areas
- Test and measure to continuously improve
- Scale successful campaigns
Top lookalike postcode districts
| Postcode | Lookalike score | Opportunity | Avg. order value |
|---|---|---|---|
| OX14 | 96 | Very high | £398 |
| RG40 | 94 | High | £372 |
| SL6 | 92 | High | £361 |
| GU24 | 90 | High | £346 |
| TW20 | 88 | Medium | £324 |