Turn buyer behavior into your sharpest sales signal.
Every buyer click, filter, favorite, and download is tracked against your real units — so you know what's hot, where interest stalls, and which channels actually sell. Demand intelligence from what buyers do, not what they say.
- Views4,820100%
- Filters1,16024%
- Favorites61213%
- Downloads2846%
- Inquiries962%
Every signal a buyer leaves narrows toward an inquiry — so you see where interest leaks before it reaches you. Figures are illustrative.
See which units buyers actually crowd around.
Your public explorer is a live demand signal. Views, filter sets, favorites, plan downloads, and inquiries roll up into a per-unit interest score, so you can see exactly what buyers crowd around — units 7.A and 1.D at Parkside Lofts pull ahead before anyone picks up the phone.
- Every view, filter, favorite, download, and inquiry counted against the real unit
- A single interest score per unit, ranked so the hot ones surface first
- Demand read from behavior, not from a salesperson's gut feel
4,820
Views
1,160
Filters
612
Favorites
284
Downloads
Hot units this week
- 7.AParkside Lofts88
- 1.DParkside Lofts70
- 6.BHofgarten Residences57
- 2.CHofgarten Residences34
Per-unit interest score rolls up views, filters, favorites, downloads, and inquiries. Figures are illustrative.
When interest doesn't close, Asono tells you why.
High traffic with almost no inquiries is a tell. When Building A draws plenty of visitors but barely any reach out, that usually means a pricing or positioning problem — not a reach problem. Asono points straight at the building instead of making you hunt through dashboards.
- Traffic and inquiry rate side by side, per building and per unit
- Plain-language diagnoses like “high traffic, low conversion → revisit pricing”
- Spend on the gap that's actually costing you sales, not more ad reach
Traffic
12,480
+18% vs last week
Inquiry rate
0.6%
well below 3.1% portfolio avg
Diagnosis
High traffic, low conversion
Plenty of buyers reach Building A, but almost none inquire. That gap usually points at price or positioning — revisit the asking price and the listing copy before spending more on reach.
Asono flags the building instead of making you hunt for it. Figures are illustrative.
Know which channels sell — and how fast inventory moves.
First-touch attribution shows which channels bring buyers who actually convert — instagram and Google may both drive leads, but only one fills viewings. Absorption and sell-through show how fast inventory is moving, so you know whether to push harder or hold the price.
- First-touch source captured on every lead, then rolled up by channel
- Conversion rate beside lead count, so volume never masks a weak channel
- Absorption and sell-through track sales velocity across the development
- instagram86 leads · 31%
- google / launch-q264 leads · 44%
- referral41 leads · 38%
- direct33 leads · 19%
Absorption
4.2
units sold / month
Sell-through
68%
of inventory placed
First-touch source is captured on every lead. Conversion = leads that reached a viewing. Figures are illustrative.
Sell the right unit next, not the loudest one.
Asono turns real buyer behavior into per-unit scoring, honest traffic-vs-conversion diagnoses, and channel attribution you can act on — so every sales call starts from what the demand is actually telling you.