Daft townhouse search: useful coverage, weak listing freshness

[gardensAndCorner]

Daft gave me broad coverage for a townhouse search around Hong Kong, but I was less confident that the adverts reflected what was currently available. Duplicate entries appeared, some properties seemed to remain visible after their status was doubtful, and floor-area measurements were not presented consistently.

Price per square metre was helpful for rough sorting, although it became unreliable when I could not confirm that two adverts used the same area basis. The steps following an enquiry were not always obvious either. Are the mobile filters and saved alerts dependable, and what normally happens in the portal after a user contacts an advertiser?

 

[gardensAndCorner]

A location clarification: the forum tag shows Lyon, France, but the search reviewed here was around Hong Kong. My main concern is still freshness. A visible last-confirmed date would be more useful to me than simply knowing when an advert was first posted.

 

[patient_paper]

Price per square metre may give false confidence if the underlying area fields are inconsistent. Were the adverts mixing internal floor area with other measurements, or were some simply missing an explanation? Until that is clear, I would keep a separate shortlist and compare only properties whose area basis appears equivalent.

 

[ari_park]

I would prioritise duplicate control over adding more filters. If the same townhouse appears several times with slightly different descriptions or pins, saved-search alerts become noisy and the apparent supply is distorted. Matching by photos, approximate location, area and asking price could at least help a buyer flag likely duplicates manually.

 

[gia_vale]

I disagree slightly: inaccurate map pins can be more damaging than duplicates. A duplicate wastes time, but a misplaced pin can change assumptions about transport, surroundings and whether the asking price is comparable. Did the map show exact locations, approximate locations, or no clear distinction between the two?

 

[nia_sage]

The contact stage is where freshness could be tested. Keep a simple note of the advert date, contact date, whether anyone responded, and whether the property was still available. That would separate three different problems: an old listing, an unresponsive advertiser, and a duplicate that remains live after another version changes status.

 

[ari_park]

That tracking idea would also make alerts easier to judge. An alert is only useful if it identifies what changed: genuinely new property, revised price, relisted advert or duplicate. Otherwise mobile notifications can create urgency without adding information.

 

[kit_reese]

Price history and links to sold records would help, but they should not distract from fixing the basic fields. For townhouses, consistent floor area and a clearly labelled map position are essential before historical comparisons mean much. I would ask advertisers to confirm the measurement basis in writing rather than relying solely on the calculated price per square metre.

 

[planTheFlag]

I would not make sold-record links the immediate test, because better historical data will not fix unreliable area fields, duplicate adverts or mobile filters that behave differently from desktop. First choose a small group of listings and check both versions of the site against the same tasks.

Note whether filters persist, map pins match, alerts distinguish a new advert from a relisting, and duplicate copies lead to the same contact route. Send an enquiry only where genuinely interested and record the portal steps that follow. That gives a narrower comparison of freshness and usability without assuming that the later transaction process is identical in every jurisdiction.