The Big Picture
Volume tripled. Call-to-booking conversion cut in half. Here's what's driving both.
Intro Calls
1,095
vs 321 in 2025
+241%Bookings
217
vs 81 in 2025
+168%Revenue
$88.3K
vs $34.6K in 2025
+155%Host Payouts
$1.30M
vs $502K in 2025
+158%Call → Booking Rate
16.3%
vs 30.5% in 2025
Call → Hold Rate
17.5%
vs 24.9% in 2025
No-Show Rate
~12%
vs ~4% in 2025
Reschedule Rate
~12%
vs ~5% in 2025
Call-to-booking conversion dropped from 30.5% to 16.3%
The absolute numbers are tremendous — bookings nearly tripled, revenue more than doubled, host payouts up 158%. But the call-to-booking rate was cut in half. Roughly half the drop is structural (no-shows, host shopping, mismatched intros) and half is execution (bottom-tier matchmakers converting at 4-11% vs top tier at 27-33%).
The Funnel — Year over Year
Week of Mar 30, 2025 vs Week of Mar 29, 2026
Key Conversion Rates
| Stage | 2025 | 2026 | Change |
|---|---|---|---|
| Searchers → Intro Calls | 41.2% | 42.7% | ↑1.5pp |
| Calls → Holds | 24.9% | 17.5% | ↓7.4pp |
| Calls → Bookings (from calls) | 30.5% | 16.3% | ↓14.2pp |
| Revenue | $34,646 | $88,256 | ↑ +155% |
↑ Where volume scaled
Listings: +136%, Searchers: +229%, Calls: +241%. The top-of-funnel growth is massive. Supply and demand both scaled. Nights booked grew 173% (6,354 → 17,362).
↓ Where conversion dropped
Call → Booking: 30.5% → 16.3% (↓ 14.2pp). Call → Hold also dropped (24.9% → 17.5%). The calls are happening but fewer are converting. No-shows, host shopping, and matchmaker execution gaps explain ~equal shares.
Where the 14-Point Drop Comes From
Breaking down the call-to-booking conversion drop from 30.5% → 16.3%
Attribution of the 14.2pp Drop
8% more calls produce literally nothing
7% more calls end in 'let's do another call'
21% of calls go to repeat hosts with 0 bookings (vs 14% in 2025)
Bottom-tier matchmakers converting at 6-11% vs top tier at 27-33%
Roughly half is structural (calls that can't convert — no-shows, host issues) and half is execution (calls that could convert but don't — matchmaker skill gaps).
No-Shows Tripled
2025 no-show rate
~4%
~13/week
2026 no-show rate
~12%
~130/week
Guest no-shows
41%
of no-shows
Host no-shows
37%
of no-shows
At ~5 min of matchmaker prep + waiting per no-show, that's ~11 hours of matchmaker time burned weekly.
Guest Shopping Is Up (Less Concerning)
Calls per guest (2025)
1.34
240 unique guests
Calls per guest (2026)
1.41
776 unique guests
Multi-call guests
33%
79 guests (2025)
Multi-call guests
39%
299 guests (2026)
More guests are taking 2-3 calls before committing. But 87% of multi-call guests eventually book — they're shopping, not flaking.
24% of 2026 calls produce zero forward motion (no-shows + rescheduling) vs ~9% in 2025. That's ~260 calls per week that burn matchmaker time without any chance of converting.
The Host Shopping Problem
Individual hosts (excluding property managers) taking 3+ calls with zero bookings
Avg calls per host
1.92
vs 1.45 in '25
Hosts with 3+ calls
106 (21%)
vs 25 (11%) in '25
3+ call hosts, 0 bookings
54
vs 12 in '25
Wasted call slots
230 (23%)
vs 44 (14%) in '25
In 2026, 54 individual hosts took 3+ calls each and generated zero bookings — consuming 230 call slots (21% of all individual host calls). These aren't property managers with multiple units. These are regular hosts who are either too selective, have listing issues, or won't commit.
Worst Offenders — Individual Hosts (PM excluded)
Calls taken vs bookings generated. All had 3+ calls.
| Host | Calls | Bookings | Holds | Pattern |
|---|---|---|---|---|
| Parissa Bansal | 22 | 1 | 2 | 19 unique guests, only 1 booked — extreme selectivity |
| Patricia Rivera | 20 | 0 | 6 | 6 holds but none converted — something blocks the close |
| Maria Nesheva | 12 | 0 | 0 | 12 calls, zero interest — listing may be mispriced |
| William Li | 10 | 0 | 0 | 10 call slots burned with nothing to show |
| Jianqiu Bao | 7 | 0 | 0 | 7 calls across 2 matchmakers, zero traction |
| Hardik Gupta | 6 | 0 | 0 | 6 different guests, none even held |
| Kah Shanna | 6 | 0 | 0 | Same pattern |
Patricia Rivera is the most telling case: 20 calls with 6 holds means guests want the listing — but something between the hold and the booking keeps falling through. Is it pricing? A landlord approval issue? Cold feet? This is worth investigating directly.
The math: If these 54 zero-booking hosts had been capped at 3 calls, we'd have freed up ~120 call slots — enough capacity for 120 fresh host-guest intros that might actually convert.
Matchmaker Performance
CSV-confirmed booking rates — who converts and why
2026 Matchmaker Leaderboard — CSV Booking Rate
Book %Top Tier (25%+)
Mid Tier (15-22%)
Needs Coaching (<15%)
Returning Matchmakers: YoY Comparison
Every returning matchmaker saw a conversion drop except Berlin (small sample). This confirms systemic headwinds — but the 26-point spread between Ezra (30%) and Saul (4%) shows individual execution still matters enormously.
| Name | '25 Calls | '25 Book% | '26 Calls | '26 Book% | Change |
|---|---|---|---|---|---|
| Ezra | 66 | 39% | 23 | 30% | -9pp |
| Berlin | 55 | 31% | 9 | 33% | +2pp |
| Theresa | 32 | 31% | 36 | 14% | -17pp |
| Saul | 72 | 22% | 25 | 4% | -18pp |
What Top Performers Do Differently
1. They see mostly fresh hosts
| MM | % Fresh | Calls/Host |
|---|---|---|
| Ezra | 95% | 1 |
| Camila | 91% | 1.1 |
| Oliver | 86% | 1.2 |
| Bibi | 92% | 1.2 |
| Saul | 75% | 2.1 |
| Jennifer | 90% | 1.1 |
| Lisa | 78% | 1.3 |
2. Lower reschedule rates
When a matchmaker reschedules 21-23% of calls, every rescheduled call becomes 2+ calls for the same pairing — inflating the denominator.
3. They close on the call
Top performers consistently: confirm exact dates and rent before the call ends, send the offer/hold link during the call (not after), set a decision deadline (“24 hours”), and get both parties to verbally agree. Bottom performers more often end with “I'll send you the details” without locking in specific terms.
What's Happening Differently on Calls
From ~1,800 Circleback transcripts — why fewer calls reach a decision
What's Happening on Calls
From ~1,800 Circleback call transcripts — how call quality changed YoY
| Pattern | 2025 | 2026 | Change |
|---|---|---|---|
| Price discussed | 74% | 53% | ↓ 21pp |
| Dates confirmed | 82% | 68% | ↓ 14pp |
| Hold placed on call | 14% | 8% | ↓ 6pp |
| Rescheduled | 5% | 12% | ↑ 7pp |
| Tour/walkthrough | 17% | 18% | ↑ 1pp |
The Core Difference
In 2025, 82% of calls reached date alignment and 74% discussed price. In 2026, those numbers dropped to 68% and 53%. This means roughly 1 in 3 calls in 2026 never gets to the point where a booking is even possible — consumed by no-shows, process explanation for first-timers, or mismatched expectations.
Rescheduling Is the Clearest Signal
When a call ends in “let's schedule another call,” that's a failure to close. In 2025 this was rare (5%). In 2026 it's common (12%) — 130+ calls per week ending without a decision. Combined with no-shows, roughly 24% of 2026 calls produce zero forward motion (vs ~9% in 2025).
System Problems vs. Matchmaker Problems
System (affects everyone equally)
- ●No-shows — 12% of calls wasted, ~130/week
- ●Rescheduled calls — 12% end without a decision
- ●Host over-shopping — 54 hosts, 3+ calls, 0 bookings → 230 wasted slots
Execution (varies by matchmaker)
- ●Not closing on first call — leaving price/dates/next-steps open
- ●High reschedule rates — bottom at 21-23% vs top at ~10%
- ●No urgency signals — failing to set deadlines or communicate demand
Call Examples
Watch real calls — see the difference between closing and deferring
Real transcript excerpts from Circleback
Rohan & Qiaochu — 5-min speed run
Matchmaker: Jessica Botha·5:17
Jessica opens with personality, confirms both sides have used Ohana before, cuts straight to the apartment tour and sends offer. Fastest, tightest call in the dataset.
“Guys, if I seem a little peppy, I took some — I had a little cup of coffee. It's 2 AM. I need energy.”
“Okay, cool. This makes it easier. I can just be brief.”
Ezra closes on the call — dates, price, deadline
Matchmaker: Ezra Gershanok·12:04
Confirms exact dates and rent before the call ends, sends offer/hold link during the call, and sets a 24-hour decision deadline. The gold standard for first-call closing.
“So we're at $2,250/month, May 16th to August 9th, correct?”
“I'm sending the offer now — you'll see it in the Ohana chat.”
Jennifer defers instead of closing
Matchmaker: Jennifer Cross·13:42
Call ends with 'I'll send you the details' without confirming specific terms. No decision deadline set. Guest leaves without clear next step — a pattern in 21% of her calls.
“So let's say Sarah has it on hold for 24 hours. Now Megan wants to place it on hold — she has to wait for those 24 hours to expire.”
“I'll send over the details and you can take your time looking through everything.”
Founder coaching hosts on pricing
Matchmaker: Ezra Gershanok·20:48
After the guest left, Ezra stayed on and told the host: 'I would suggest increasing the listing price to $2,500.' Strategic host coaching that doesn't happen in 2026.
“Do you want to increase this rent amount at all? You're getting a ton of demand for your unit.”
“Yeah, we'll do for her this price, but I'll increase the price on your listing because there's room.”
Saul improvises security deposit reduction
Matchmaker: Saul Saffrin Betesh·14:02
Dalya pushed back on the $2,268 deposit. Saul improvised and suggested reducing to $1,300 — a decision that required host approval.
“I think we could maybe do $1,300 as a security deposit. I don't know if that works.”
Peak Season Playbook
6 actions to improve conversion for the rest of peak season
Individual host call cap
After 3-4 intros with no booking or hold, pause scheduling and have a direct conversation with the host about what's blocking them. For hosts like Patricia Rivera (20 calls, 0 bookings, 6 holds), this is a specific process issue worth diagnosing.
Shadow program for bottom performers
Have Jennifer (6%), Isabella (11%), Lisa (11%), and Saul (4%) shadow Ezra or Camila for a half-day. The gap is in call management technique, not product knowledge. Top performers close on the first call — bottom performers defer.
No-show reduction
15-min reminder texts + a '2 no-shows = deprioritized' policy for both hosts and guests. 130 no-shows per week = ~11 hours of matchmaker time burned.
Pre-call date/budget check
The drop in 'dates aligned' (82% → 68%) suggests too many mismatched intros. Confirm dates and budget match before scheduling the call.
First-call close checklist
Every call should end with: (a) dates confirmed (b) price confirmed (c) offer or hold sent (d) decision deadline set. Track completion per matchmaker weekly.
Investigate Patricia Rivera specifically
20 calls, 6 holds, 0 bookings is a conversion mystery worth solving. What's breaking between hold and booking? Is it pricing? Landlord approval? Cold feet?