InvestMap sale and rental prices are now broken down by number of rooms and m².
Ignacio De La CubaAI & Data
Context and Problem
Sale and rental prices in InvestMap were shown at the aggregated zone level, without distinguishing product typologies. That granularity was not enough for sharp underwriting: a 1-bedroom and a 3-bedroom can have very different yields, and grouping all m² into a single average price masked key differences across product types.
The Solution: Prices Segmented by Rooms and m²
We have enriched the InvestMap dataset by adding granularity by number of rooms and by size buckets to both sale and rental prices.
- Segmentation by rooms: prices broken down by 1, 2, 3 and 4+ bedrooms, allowing analysis of the product at the real level at which it is bought and rented.
- Segmentation by m²: size buckets that capture how the market behaves for small, mid and large product.
- Available for sale and rental: the same granularity applies to both sides of the market, enabling precise yield readings per typology.
- Consistent across InvestMap: the new cuts are integrated in the zone views, comparator and reports, without duplicating data sources.
Expected Impact
- Underwriting per typology: the investment team can model the real yield of the product they are about to buy, not the zone average.
- Sharper pricing strategy: asset management gets market references per unit type, improving rent setting.
- Better product-market matching: helps decide which typology has the best fit in each area.
- Stronger investment theses: decisions rely on market cuts closer to the actual asset, reducing the risk of surprises during operation.