New rental-pricing tool uses renter rejection data to help agents set asking rents after Renters’ Rights Act changes

# What happened Proptech firm nHabit has released a rental-pricing tool for letting agents that draws on data showing properties prospective tenants reject during their searches. The company positions the product as a way to help agents and landlords set asking rents more accurately before marketing a property.

# How the tool works nHabit's consumer app lets users swipe through properties. The platform records both positive engagement and rejections. The new agent-facing product aggregates that rejection data by postcode and property type so agents can see where asking rents, location, or property features may be turning renters away.

# Why timing matters: Renters' Rights Act context The launch follows the first phase of the Renters' Rights Act, which came into force on 1 May. Under the new rules, landlords and agents cannot accept offers above the advertised rent. The Act also introduces changes to rent increases and abolishes Section 21, altering how tenancies are managed after move-in.

Those legal changes increase the importance of getting the initial asking rent right. If an asking rent is set too high, agents can no longer rely on post-agreement adjustments by accepting higher offers. nHabit frames its tool as a way to identify unrealistic asking rents earlier, reducing the risk of a property failing to generate interest once listed.

# What the data shows so far nHabit's consumer app launched in February 2026. The company reported it was on course to reach 10,000 London users by the end of September, with 150–300 new users joining each day at the time of reporting. Early app usage suggested renters weigh multiple factors beyond headline rent when deciding which homes to pursue, including location, property quality, transport links, and longer-term affordability.

Founder Steven Charlton summarized the idea: "We will understand renting like Tinder understands dating. The only way to get that level of understanding is through a swipe mechanism. With swipes you can see what people don't like, whereas every other platform only captures what people like." That quote is part of nHabit's explanation for why rejection data adds value.

# Practical implications for letting agents

• Use rejection heatmaps by postcode and property type to test asking-rent assumptions before listing. This can flag areas or property types where demand sensitivity is high.
• Combine rejection signals with traditional engagement metrics (clicks, enquiries) to get a fuller picture of market response.
• Review non-price factors the tool highlights—if rejections cluster around transport-poor locations or specific property features, adjust marketing, presentation, or minor investments accordingly.

# Caveats and what the tool does not promise nHabit positions rejection data as an additional indicator, not a definitive market read. The tool relies on users of its consumer app, so coverage will vary by geography and demographic. Agents should treat the output as one input alongside local experience, comparable rents, and other portal metrics.

# Bottom line The product is designed to help agents act earlier when an asking rent or property presentation risks deterring tenants. Given the Renters' Rights Act restrictions on accepting offers above advertised rents, more accurate initial pricing has a clearer practical and financial rationale than before.