# Step 2 — Bali / Indonesia TAA Landscape

**Subject:** SatuSatu (satusatu.com), PT Tiptip Network Indonesia. 253-SKU Bali tours/activities/attractions platform. Inbound international traveller (USD, English-first), domestic Indonesians as secondary tier.
**Prepared:** 2026-07-26. All web sources accessed 2026-07-26.
**Evidence tiers:** A = official statistics agencies / filings / live product. B = credible trade press and analysts. C = blogs, forums, vendor marketing, market-research SEO pages.
**Labelling:** every number is `[VERIFIED]` (stated in a collected source) or `[INFERENCE]` (derived here, with band).

> **Scope warning.** This synthesis draws on the 19 raw search dumps assigned to Step 2, plus 14 additional M&A stub files in `research/raw/` opened in a follow-up pass to rewrite Section 8. Where those files are thin or off-target, that is stated explicitly rather than papered over. **Section 5 (Bali supply counts) retains a hard hole** — no count of Bali TAA operators exists in any collected source. Section 8's remaining limitation is different in kind: the transactions are identified and dated, but six of the most relevant have **undisclosed prices**, so the margin conclusion is bounded by that (see §8.4).

---

## 1. Bali / Indonesia inbound arrivals

### 1.1 Volume and trend

| Metric | Value | Period | Label | Tier / source |
|---|---|---|---|---|
| Bali direct foreign arrivals | **6,948,754** | FY2025 | [VERIFIED] | A — BPS Bali via ANTARA, 2 Feb 2026 |
| Bali direct foreign arrivals, y/y | **+9.72%** | FY2025 vs 2024 | [VERIFIED] | A — BPS Bali |
| Bali direct foreign arrivals | ~6.33 m | FY2024 | [VERIFIED] | B — topbalihotels citing BPS |
| Bali foreign arrivals, pre-pandemic peak | 6.28 m | FY2019 | [VERIFIED] | C — roadgenius citing BPS |
| Indonesia foreign arrivals | **15,386,646** | FY2025 | [VERIFIED] | A — BPS via Indonesia Investments |
| Indonesia foreign arrivals | 16,106,954 | FY2019 | [VERIFIED] | A — BPS |
| Bali share of Indonesia foreign arrivals | **45.2%** | FY2025 | [INFERENCE] | 6,948,754 / 15,386,646 |
| Ngurah Rai share of national foreign arrivals | **48%** | May 2026 | [VERIFIED] | A/B — BPS via Indonesia Investments, 1 Jul 2026 |

Bali passed its 2019 foreign-arrival peak in 2024–25 and grew ~10% in 2025. Indonesia nationally did *not* pass 2019 in 2025 (15.39 m vs 16.11 m). Bali is carrying the national recovery.

### 1.2 2026 monthly run-rate — the trend has broken

| Month 2026 | Bali direct foreign arrivals | m/m | y/y | Label |
|---|---|---|---|---|
| Jan | 502,205 | −12.30% (vs Dec-25) | −5.2% | [VERIFIED] A — BPS Bali |
| Feb | 492,289 | −1.97% | +9.23% | [VERIFIED] A — BPS Bali |
| Mar | 472,070 | −4.11% | +0.26% | [VERIFIED] A — BPS Bali |
| Apr | 553,328 | +17.21% | **−6.41%** | [VERIFIED] A — BPS Bali, released 2 Jun 2026 |
| May | 578,251 | +4.50% | −3.98% | [VERIFIED] A — BPS Bali press release index |
| **Jan–Apr total** | **2,019,892** | — | **−1.11%** | [VERIFIED] A — BPS Bali |
| **Jan–May total** | **2,598,143** | — | **−1.77%** | [INFERENCE] sum of above ÷ Jan–May 2025 (2,644,879) |

Meanwhile Indonesia nationally, Jan–May 2026: **6,067,014 arrivals, +7.7% y/y** [VERIFIED, A — BPS via Indonesia Investments].

**This is the single most decision-relevant arrivals fact in the file: Bali is flat-to-down ~1.8% YTD 2026 while the country it sits in is up 7.7%.** Bali is losing share of Indonesia's inbound growth. National growth is being driven by ASEAN short-haul into Jakarta/Batam, not by Bali.

### 1.3 Source-market mix

**FY2025, Bali, top 10** [VERIFIED, A/B — BPS Bali via Bali Hotels Association and ANTARA]:

| Rank | Market | Arrivals | Share | y/y |
|---|---|---|---|---|
| 1 | Australia | 1,628,460 | 23.44% | +5.46% |
| 2 | India | 569,260 | 8.19% | +3.43% |
| 3 | China | 537,380 | 7.73% | +19.83% |
| 4 | South Korea | 346,680 | 4.99% | +17.91% |
| 5 | United Kingdom | 317,520 | 4.57% | +7.52% |
| 6 | France | 279,120 | 4.02% | +8.40% |
| 7 | United States | 274,610 | 3.95% | +4.88% |
| 8 | Malaysia | 251,160 | 3.61% | +2.04% |
| 9 | Singapore | 211,330 | 3.04% | −3.47% |
| 10 | Japan | 208,620 | 3.00% | +17.96% |
| | **Top 10** | | **~66.5%** | [INFERENCE] sum |

**March 2026, English-first core** [VERIFIED, A/B — BHA top-20 table from BPS/DISPARDA]: Australia 119,777 + UK 24,206 + USA 23,003 + New Zealand 10,017 + Canada 7,000 = **184,003 = 39.0% of the 472,070 monthly total** [INFERENCE, arithmetic on verified components].

Direct read for SatuSatu: **an English-first, USD-denominated storefront addresses roughly 39% of monthly inbound volume as native-English speakers, and Australia alone is a quarter of it.** Australia is not a "long-haul Western tourist" market — it is a 6-hour, high-frequency, repeat-visit, price-sensitive market. India (8.2%) and China (7.7%) are the next two and are neither English-first nor USD-comfortable.

### 1.4 2026 full-year trajectory

| Scenario | Bali FY2026 foreign arrivals | Assumption | Label |
|---|---|---|---|
| Low | **6.69 m** (−3.7% y/y) | Jun–Dec runs 5% below 2025 | [INFERENCE] |
| **Base** | **6.83 m** (−1.7% y/y) | 2025 seasonal shape applied to Jan–May 2026 actual | [INFERENCE] |
| High | **7.07 m** (+1.8% y/y) | Jun–Dec runs 4% above 2025 | [INFERENCE] |

Method: Jan–May was 38.06% of the 2025 year; Jan–May 2026 actual = 2,598,143. Base = 2,598,143 / 0.3806.

**Conflicting forecast:** an ARIMA model published on LinkedIn (Ross Woods, Tier C) projected **7.33 m for Bali 2026**. That is above even my high case and was built before the Jan–Apr 2026 decline was known. I do not trust it. Government target for *Indonesia* is 16–17.6 m foreign arrivals in 2026 [VERIFIED, B — ANTARA, 13 Jan 2026]; Indonesia Investments projects 16.5 m [VERIFIED, B]. Both are national, not Bali.

---

## 2. Seasonality amplitude

Full 2025 monthly series. Eight months are directly reported; four (Aug, Sep, Nov, plus Jan/Feb cross-check) are reconstructed from BPS-reported month-on-month percentages. **The reconstruction sums to 6,948,675 against the official 6,948,754 — a 79-visit gap, i.e. it is essentially exact.**

| Month 2025 | Arrivals | % of year | Label |
|---|---|---|---|
| Jan | 529,897 | 7.63% | [VERIFIED] C — roadgenius; cross-checks to BPS Q1 total |
| **Feb** | **450,697** | **6.49%** | [VERIFIED] C; **trough** |
| Mar | 470,851 | 6.78% | [VERIFIED] A — BPS via BHA |
| Apr | 591,221 | 8.51% | [VERIFIED] A — BPS |
| May | 602,213 | 8.67% | [VERIFIED] C — roadgenius |
| Jun | 637,868 | 9.18% | [VERIFIED] A — BPS (cited in Jul-25 release) |
| **Jul** | **697,107** | **10.03%** | [VERIFIED] A — BPS Bali, 1 Sep 2025; **peak** |
| Aug | ~682,900 | 9.83% | [INFERENCE] residual |
| Sep | ~635,100 | 9.14% | [INFERENCE] from Oct −6.34% m/m |
| Oct | 594,853 | 8.56% | [VERIFIED] A — BPS Bali, 1 Dec 2025 |
| Nov | ~483,300 | 6.95% | [INFERENCE] from Dec +18.48% m/m |
| Dec | 572,668 | 8.24% | [VERIFIED] A — BPS Bali |

### Amplitude measures

| Measure | Value | Label |
|---|---|---|
| **Peak-to-trough ratio (Jul / Feb)** | **1.55×** | [INFERENCE] 697,107 / 450,697 |
| Peak month share of year | 10.03% | [INFERENCE] |
| Trough month share of year | 6.49% | [INFERENCE] |
| Jun–Sep (4 months) share of year | **38.2%** vs 33.3% flat | [INFERENCE] |
| Q3 / Q1 ratio | 1.39× | [INFERENCE] Q3 2,015,107 / Q1 1,451,445 |
| Q1 2025 (official cross-check) | 1,451,445 | [VERIFIED] A — BPS Bali via ANTARA |

**Read for concierge staffing.** A 1.55× peak-to-trough on arrivals is *moderate* by resort-destination standards — Bali is a year-round destination, not a summer one. Practical consequence: a human-concierge model sized for July is ~35% over-staffed in February, and one sized for February will fail in July. The swing is large enough to matter for a headcount-based cost line but small enough that a single flexed team (core + seasonal contractors for Jun–Sep) covers it. Any capacity-based business case should model **Jun–Sep at ~38% of annual demand in four months**, not a smooth twelfth-per-month.

**Caveat that cuts the other way.** Arrivals ≠ activity demand. Domestic Bali arrivals peak on a completely different calendar — Nyepi and Eid al-Fitr, which fell together in March 2026 and drove inter-province domestic arrivals to 1,060,798, **+67.5% y/y** [VERIFIED, A/B — BHA from BPS/DISPARDA]. A dual-tier product has two uncorrelated peaks, which flattens combined staffing need. That is a genuine argument for the domestic tier that has nothing to do with revenue.

**Directional 2026 change:** the 2026 shape is flatter and lower than 2025 — Jan–Mar 2026 all sat between 472k and 502k, a 6% band, against a 529k–470k range in 2025. Early 2026 has less amplitude and less volume.

---

## 3. TAA online penetration — Indonesia vs global

### 3.1 Global (the structural headroom)

Source: **Phocuswright / Arival, "Travel Experiences 2026: Market Sizing, Operator and Consumer Behavior Highlights," published July 2026** (Tier B, sponsored by Civitatis; methodology is a bottom-up operator model from the Arival Global Operator Landscape 4th Ed., 5,664 qualified operator responses, plus a 4Q25 consumer survey of 800 US and 1,750 UK/FR/DE/ES travellers).

| Metric | Value | Label |
|---|---|---|
| Global experiences gross bookings, 2025 | **$271 bn** | [VERIFIED] |
| Global experiences gross bookings, 2029F | **$342 bn** | [VERIFIED] |
| Implied CAGR 2025–29 | ~6% | [VERIFIED] stated |
| 2024 (recovery to pre-pandemic) | $253 bn | [VERIFIED] |
| 2026F | ~$288 bn | [VERIFIED] C — automate.travel citing same report |
| Growth 2023→24 | +17% (vs +6% rest of travel) | [VERIFIED] |
| Growth 2024→25 | +7% | [VERIFIED] |
| **Online share of experiences bookings, 2025** | **33%** | [VERIFIED] |
| Online share, 2019 | 17% | [VERIFIED] |
| Online share, 2029F | **42–43%** | [VERIFIED] |
| Online share of all travel, 2025 | **64%** | [VERIFIED] |
| Segment split 2025 | Attractions $118 bn / Activities $95 bn / Tours $59 bn | [VERIFIED] C — automate.travel citing report |
| APAC share of global experiences | 28% (2025) → 30% (2029), growing 8%/yr | [VERIFIED] C — same |
| **APAC experiences GBV 2025** | **~$76 bn** | [INFERENCE] 28% × $271 bn |
| Experiences OTA gross bookings 2025 | >$20 bn, >$40 bn by 2029 | [VERIFIED] B — TravelAge West citing Phocuswright/Arival |

**The headroom statement, stated precisely:** experiences are at 33% online against 64% for travel overall — *2× less digitised*. But the closing rate is only ~1.5–2 percentage points per year. **Inside a 24-month window the online share moves from ~33% to ~36%.** Offline does not collapse. Anyone building a business case on "offline is about to flip online" is wrong on the timeline by roughly a decade.

### 3.2 Indonesia specifically

**No credible Indonesia-specific TAA online penetration figure exists in the collected sources.** This is a real gap.

What the files contain instead is a set of mutually inconsistent, un-methodologised market-research SEO pages:

| Claim | Source | Tier | Assessment |
|---|---|---|---|
| Indonesia online travel booking market $8.1 bn (2025) → $19.26 bn (2034), 10.1% CAGR | thereportcubes.com | C | No methodology; "online travel booking" not TAA |
| Indonesia online travel & tourism platforms market "USD 10 billion" | kenresearch.com | C | Contradicts above by 23%; no base year given |
| Indonesia travel & tourism market $5.44 bn (2025) → $9.04 bn (2035) | marketresearchfuture.com | C | Contradicts both by ~2× in the other direction |

Three vendors, three numbers, ~2× spread, no shared definition. **Do not use any of them.** Indonesia TAA online penetration is **unverified — not found in collected sources.**

The defensible proxy is APAC-level: APAC is the fastest-growing region at 8%/yr and reaches 30% of the global experiences market by 2029 [VERIFIED, Tier C secondary of a Tier B report]. Indonesia's internet penetration (>212 m users, >75% smartphone penetration by 2025, per thereportcubes, Tier C) is not the binding constraint — supply-side digitisation is (Section 5).

---

## 4. 🔴 Where inbound Bali travellers actually book activities

**Headline: there is no direct, Bali-wide measurement of tours-and-activities booking channel split in the collected sources. None. The most decision-relevant question in this step is the one with the weakest data.** What follows is the structural evidence, labelled honestly.

### 4.1 What is actually measured

**(a) Global walk-up and offline share — the single hardest number available.**
Phocuswright/Arival 4Q25 consumer survey (US + UK/FR/DE/ES), Tier B, [VERIFIED]:
- **Fewer than half** of US and European travellers said they booked a recent tour, activity or attraction online.
- **Nearly 1 in 5 travellers under 55, and 24% of those 55+, booked as a walk-up at a provider or ticket office.**
- Only 12–30% of experiences are booked same-day; older travellers do this far more.
- Rates of online booking are "especially low in the 55+ age group."

This is the cleanest evidence in the entire file that walk-up is a first-class channel in experiences and nowhere else in travel. It is US/EU, not Bali — but Bali's inbound mix is 39% Anglo (Section 1.3), so it transfers better than most global figures would.

**(b) ASITA Bali's travel-agent claim — large, load-bearing, and internally broken.**
The Bali chapter of ASITA (Association of the Indonesian Tours and Travel Agencies) states, via chairman I Putu Winastra [VERIFIED as a *claim*, Tier B — The Bali Times]:
- 6.9 m tourists used travel agents to visit Bali in 2025 (from 6.3 m in 2024, 5.3 m in 2023, 2.1 m in 2022).
- "Travel agencies accounted for around **65 percent** of international tourist arrivals to Bali in 2025."
- ~2 m arrived via travel agents Jan–Apr 2026.

**These two claims cannot both be true.** Bali's total direct foreign arrivals in 2025 were 6,948,754. 6.9 m is 99.3% of that, not 65%. Either the 6.9 m includes domestic arrivals, or it counts trip components rather than tourists, or the 65% is the accurate figure and the 6.9 m is inflated. It is a trade-association self-report with no published methodology.

**My reading:** treat the *65% figure* as the usable one and even then as an upper bound with a wide error bar, and treat it as describing **trip/arrival booking** (flights, packages, transfers), **not excursion booking**. A traveller whose flight-and-hotel came through an agent may still buy their Nusa Penida day trip from a street desk. ASITA has an obvious institutional interest in a high number.

**(c) Bali hotel-reservation channel studies — the only Bali-specific quantification, and it is about rooms, not activities.**
Two academic studies of individual Bali properties, Tier C (peer-reviewed but single-property and 2016–2019 vintage):
- The Westin Resort Nusa Dua: OTAs ~37% of room reservations (2018), ~39% (2019); offline travel agents ~24–25% [VERIFIED as reported].
- A second Bali hotel dataset (33,338 reservations 2016; 32,337 in 2017; 37,864 in 2018): concluded offline travel agents supplied **~60%** of tourists at the studied property [VERIFIED as reported].

Those two findings disagree with each other by a factor of ~2.4 on offline share. They are hotel rooms. They pre-date COVID. They are two buildings.

**(d) Driver commission mechanics.**
"If your driver books tickets for attractions… they quite likely get a commission on ticket sales, **usually around 20% but sometimes more**" — with Elephant Park and white-water rafting named as examples [VERIFIED as a claim, Tier C — baliholidaysecrets.com]. Corroborating soft signal: TripAdvisor Bali forum, "Drivers take you to places that most likely give them good commission" (Tier C). Private driver day rate: **IDR 500,000–800,000 (~USD 30–55)** for a full day including fuel [VERIFIED, Tier C — balibelin.com, ohana-agency.com, both 2026].

**No source in the collected files quantifies what share of Bali activity bookings originate from driver referral.** Not one. The 20% commission rate is documented; the volume is not.

### 4.2 Synthesised channel estimate

The `booking-channels.md` deep-research file already produced a proxy synthesis. I reproduce its bands because they are the only Bali-scoped estimate available, and I attach my own confidence rating — which is lower than the file's own.

| Channel | Est. share of inbound Bali activity bookings | Confidence | Basis |
|---|---|---|---|
| Online OTAs (Klook, GetYourGuide, Viator, Traveloka) | 25–40% | Low–medium | Hotel-room OTA share 35–39% used as proxy |
| Walk-up / street agents / tour desks | 15–35% | **Low** | Offline agent share 24–60% across two conflicting studies |
| **Driver / guide referral** | **10–30%** | **Low** | Commission rate documented; volume never measured |
| Hotel concierge / hotel-booked | 5–15% | Low | Inferred residual |
| WhatsApp / direct to operator | 5–15% | **Very low — no numeric evidence at all** | Market practice, unmeasured |
| DMC / packaged inbound / call centre | 5–15% | Low | Inferred residual |
| **Combined offline (incl. driver referral)** | **40–70%** | **Low** | All of the above |

**All figures in this table are [INFERENCE] with low confidence. None is [VERIFIED].**

### 4.3 What I actually believe, and why

Stripping out the false precision, four things are structurally supported:

1. **Offline is the majority channel, or close to it.** Globally, experiences are 33% online [VERIFIED, Tier B]. Bali's supply is more fragmented and less digitised than the US/EU average that figure is weighted toward. There is no mechanism by which Bali would be *more* digitised than the global mean. Offline share in Bali is therefore **≥ 60%**, and plausibly 65–75% [INFERENCE].
2. **The driver is a distribution channel with a 20% take rate and zero customer-acquisition cost.** He is already in the car, already trusted, already going that direction, and he is paid the same rate a wholesaler gets (Section 6). He is not a nuisance to be routed around — he is the incumbent last-mile reseller.
3. **Walk-up is real and specific to this vertical.** ~19–24% of US/EU travellers walked up to a ticket office for their most recent experience [VERIFIED, Tier B]. That behaviour does not exist at this magnitude in air or lodging.
4. **The competitor set is not Klook.** For 60–75% of the market, the competitor is a man with a Toyota Avanza, a hotel front desk, and a laminated A4 sign on Jalan Legian.

**Unverified and needed:** Bali-specific booking-channel audit; pre-trip vs in-destination split; channel by traveller segment (Australian repeat visitor vs first-time European); channel by Bali sub-region (Canggu vs Ubud vs Nusa Dua); actual driver-referral volume. The `booking-channels.md` file lists the same gaps and recommends primary collection (OTA booking exports, operator POS receipts, structured inbound surveys, driver/concierge interviews). I concur — **this is the highest-value primary research SatuSatu could commission, and it is cheap.**

---

## 5. Supply fragmentation

### 5.1 Global operator structure

Arival Global Operator Landscape (3rd Ed. Oct 2024, 7,000+ operators; 4th Ed. Jan 2026, 5,664–7,000+ operators) and Phocuswright/Arival 2026. Tier B; several figures reach me through automate.travel (Tier C secondary of a Tier B primary) — flagged where so.

| Metric | Value | Label | Tier |
|---|---|---|---|
| Share of experience operators that are small or micro businesses | **>70%** | [VERIFIED] | B — Phocuswright/Arival direct |
| Operators by size (3rd Ed.) | Small 40% / Medium 36% / Large 11% / Enterprise 13% | [VERIFIED] | B — Arival GOL 3rd Ed. PDF |
| Small+Medium share of operators / of bookings | **76% of operators, 12% of bookings** | [VERIFIED] | B — Arival GOL 3rd Ed. |
| Large+Enterprise share of operators / of bookings | 24% of operators, **88% of bookings** | [VERIFIED] | B — Arival GOL 3rd Ed. |
| **Operators with NO booking system** | **39%** | [VERIFIED] | C secondary of B — Arival GOL |
| Small operators (<1,000 guests/yr) with no system | **58%** | [VERIFIED] | C secondary of B |
| Operators founded after 2022 with no system | **54%** | [VERIFIED] | C secondary of B |
| Large operators (10k–50k guests) with no system | 21% | [VERIFIED] | C secondary of B |
| Enterprise (50k+) with no system | 18% | [VERIFIED] | C secondary of B |
| Distinct booking platforms named by operators | **300+** | [VERIFIED] | C secondary of B |
| Average systems used per operator | 5 (non-integrated) | [VERIFIED] | C secondary of B — Arival ANZ 2026 |
| Average distribution partners per operator | 14 (tours 9, activities 13, attractions 44) | [VERIFIED] | C secondary of B |
| OTA share of operator bookings | **37%** (2025), up from 24% (2019) | [VERIFIED] | C secondary of B |
| Direct-website share of operator bookings | **25%** (2025), down from 29% (2024) | [VERIFIED] | C secondary of B |
| Operators dissatisfied with OTA commissions | 46% | [VERIFIED] | C secondary of B — Arival Operators & OTAs 2025 |
| Operators using dynamic pricing | **6%** (69% static, 25% variable) | [VERIFIED] | C secondary of B |
| Operators profitable | 70% (2025), up from 65% (2024) | [VERIFIED] | C secondary of B |
| Operators who cannot state their own margin | 22% | [VERIFIED] | C secondary of B |
| Operators testing/using AI | 52% (2025), up from 37% (2024) | [VERIFIED] | C secondary of B |

Phocuswright/Arival's own methodology note is the honest framing: *"This market is highly fragmented with hundreds of thousands of mostly small, private operators… Across many categories, no definitive registry of businesses exists."*

### 5.2 Bali-specific operator counts — **hard gap**

**No count of Bali tours/activities/attractions operators exists in the collected sources, and no measure of what share of them run any booking system.**

What is in the files:
- ASITA Bali publishes a **full-member directory** at asitabali.org, listing licensed inbound/outbound travel agencies with DPP registration numbers, contacts and target markets [VERIFIED as existing, Tier A — primary association source]. **The search result captured only the first ~10 alphabetical entries; the total member count was never retrieved.** This is directly obtainable and should be in Step 3.
- ASITA Bali is *travel agencies*, not activity operators. It does not cover Mount Batur trekking guides, Nusa Penida boat operators, Ubud cooking classes, or waterfall entrance concessions — which is exactly SatuSatu's Pool B target.
- Klook's platform-level figures give scale context but not Bali counts: **~310,000 offerings across ~4,200 destinations as of 30 Sep 2025** [VERIFIED, Tier A — SEC F-1].
- Global platform listing growth: 385,000 (2020) → 986,000 (2026), +156% [VERIFIED as a claim, Tier C — marketintelo, no methodology; treat as directional only].

**Inference from structure, not from a Bali count:** if >70% of global operators are small/micro and 58% of small operators have no booking system, and Bali's long tail is at or below the global digitisation mean, then **the majority of SatuSatu's Pool B addressable supply has no booking system of any kind — not a bad one, none.** This is not a temporary condition that a channel-manager integration fixes. It is the market. Pool B's absent real-time availability is a *property of the supply base*, not a SatuSatu implementation gap.

---

## 6. 🔴 Where the margin sits, and who captures it

### 6.1 The chain, layer by layer

Two things are hard here. Everything else is trade-press convention or vendor marketing.

**Hard datum #1 — the OTA layer, from an SEC filing.** Klook Technology Limited, Form F-1, filed 10 Nov 2025 [VERIFIED, Tier A]:

| Metric | FY2022 | FY2023 | FY2024 | H1-2025 | LTM to Sep-2025 |
|---|---|---|---|---|---|
| GTV (US$ 000) | 659,953 | 1,839,508 | 2,507,466 | 1,457,866 | **3,040,000** |
| Gross profit (US$ 000) | 45,711 | 157,214 | 257,801 | 163,307 | 340,000 |
| **Gross profit as % of GTV** | **6.9%** | **8.5%** | **10.3%** | **11.2%** | **11.2%** |
| Revenue as % of GTV | — | — | ~16.6% | — | **~17.8%** |
| Gross margin (GP / revenue) | — | — | ~57% | — | **63%** |
| Adjusted EBITDA (US$ 000) | (86,409) | (53,470) | (22,932) | +950 | +3,500 |

Also [VERIFIED]: Klook revenue $417.1 m FY2024 (+24.4%); net loss $99.3 m FY2024; **net loss $141.5 m on $407.4 m revenue for 9M 2025** (Fortune, 15 Jul 2026, citing the Nov 2025 SEC filing); 65 m experiences booked LTM Sep-2025.

> **Conflict flagged:** mostlymetrics.com (Tier C) reports LTM-Sep-2025 net loss of **−$17 m**; Fortune (Tier B) reports **−$141.5 m for 9M 2025** from the same filing. These are different periods and possibly different measures (the −$17 m may be an adjusted figure). **I trust the Fortune/SEC 9M figure** because it names the filing and the period. Do not cite the −$17 m.

**Hard datum #2 — the operator net-rate convention.** Arival's own guidance to operators: *"If you are working with inbound tour operators, receptives or DMCs, then you would take approximately **25%–30%** from your retail rate"* [VERIFIED, Tier B — arival.travel]. Corroborated by Rezdy and Trekksoft (Tier C trade blogs, consistent with each other): retail travel agents 10–20% of retail; **tour wholesalers 25–30%**; inbound tour operators 25–30%.

### 6.2 The waterfall

On a USD 100 retail experience in Bali:

| Layer | Take (pts of retail) | Cumulative to traveller | Label | Basis |
|---|---|---|---|---|
| **Operator** (net rate received) | keeps **70–75** | — | [VERIFIED convention] | Arival 25–30% off retail to wholesaler/receptive |
| **DMC / wholesaler** markup on supplier net | 10–25% on net (≈ 7–15 pts) | | [VERIFIED as convention] | Tier C — Ezus via manchestertime; Rezdy 25–30% wholesaler |
| **Aggregator** (GlobalTix-type) | 8–15 pts | | [INFERENCE] band | No direct figure in files; sits between DMC and reseller |
| **OTA / reseller** gross take at scale | **~11 pts realised** (17.8 pts revenue less cost of revenue) | | [VERIFIED] | Klook GP/GTV 11.2%, LTM Sep-2025 |
| **Driver referral** (parallel channel, not additive) | **~20 pts**, sometimes more | | [VERIFIED as claim, Tier C] | baliholidaysecrets |
| **Travel-agent commission, entrance tickets only** | 15–22% | | [VERIFIED as claim, Tier C] | dmcquote |
| **Travel-agent commission, private tours** | 25–32% | | [VERIFIED as claim, Tier C] | dmcquote |

### 6.3 Where SatuSatu actually sits

**Pool A (GlobalTix-sourced, non-exclusive).** SatuSatu is buying at a *third party's net price*, which is itself already downstream of the operator and, in most cases, of a DMC. SatuSatu is layer 3 or 4 on a chain with 25–30 total points of spread between operator net and consumer retail.

Constraint that closes the argument: SatuSatu's Pool A inventory is **non-exclusive**, meaning the same SKU is retailed by Klook, Viator and GetYourGuide. SatuSatu therefore cannot price above them. It buys at GlobalTix net and must sell at market retail.

| SatuSatu Pool A gross margin on GBV | Low | **Base** | High | Label |
|---|---|---|---|---|
| Before payment/FX | 6% | **10%** | 14% | [INFERENCE] |
| After ~3% payment + FX | 3% | **7%** | 11% | [INFERENCE] |

Anchor for the ceiling: **Klook — 310,000 SKUs, $3.04 bn GTV, direct merchant contracting, its own payments rails, 13 m reviews, and a decade of scale — realises 11.2% gross profit on GTV** [VERIFIED, Tier A]. A 253-SKU reseller buying at another aggregator's net price has no mechanism to beat that number. 11.2% is not SatuSatu's target; it is the *asymptote SatuSatu cannot reach on Pool A*.

**Pool B (direct-contracted, exclusive, no real-time availability).**

| SatuSatu Pool B gross margin on GBV | Low | **Base** | High | Label |
|---|---|---|---|---|
| Before ops cost | 22% | **27%** | 32% | [INFERENCE] |

Basis: direct contracting at operator net rate, i.e. the full 25–30 points that Arival documents as the wholesaler/receptive convention, plus exclusivity supporting the upper end. Against this sits the manual-fulfilment cost of no real-time availability (concierge labour per booking, cancellation exposure, overbooking risk) — **not quantified in the collected sources.**

**The structural fact for strategy:** *Pool B carries roughly 2.5–4× the gross margin of Pool A.* SatuSatu's margin problem is not a pricing problem or a conversion problem. It is a **sourcing** problem. Every incremental point of GBV mix shifted from Pool A to Pool B is worth ~17–20 points of gross margin on that GBV.

**And the offsetting fact:** the 20% driver commission and the 15–32% agent commissions are drawn from the *same* 25–30-point pool. SatuSatu, a driver, and a street tour desk are all competing for the identical spread. The driver's cost to serve is zero and his conversion rate — captive audience, in-vehicle, at the moment of intent — is far above any website's. **On Pool A economics SatuSatu cannot outbid a driver. On Pool B economics it can.**

---

## 7. Domestic demand hedge

### 7.1 What the data supports

| Metric | Value | Period | Label | Tier |
|---|---|---|---|---|
| Bali inter-province domestic arrivals | **5,704,140**, **−8.02% y/y** | FY2025 | [VERIFIED] | A/B — BPS/DISPARDA via BHA |
| Bali domestic *trips* (different series) | **26,615,306** | FY2025 | [VERIFIED as reported] | C — topbalihotels citing BPS Bali |
| Bali domestic arrivals, Dec 2025 | 500,764, **−7.0% y/y** | Dec 2025 | [VERIFIED] | A/B — BHA |
| Bali domestic arrivals, Mar 2026 | **1,060,798, +67.5% y/y** | Mar 2026 | [VERIFIED] | A/B — BHA (Nyepi + Eid overlap) |
| Bali domestic arrivals Jan–Mar 2026 | 2,459,958 (Jan 798,977 / Feb 600,183 / Mar 1,060,798) | Q1 2026 | [VERIFIED] | A/B — BHA |
| Indonesia domestic trips | **~1.2 bn** | FY2025 | [VERIFIED as reported] | C — BPS via YouTube summary |
| Indonesia domestic trips Jan–Nov 2025 | **1.09 bn, +18.95% y/y** — highest ever | Jan–Nov 2025 | [VERIFIED] | B — ANTARA citing Tourism Minister |
| Indonesia domestic trips Q1 2026 | **319.51 m, +13.14% y/y** | Q1 2026 | [VERIFIED] | B — Tempo / Indonesia Expat citing BPS |
| Indonesia domestic trips Mar 2026 | 126.34 m, **+42.10% y/y** | Mar 2026 | [VERIFIED] | B — same |
| Indonesia domestic trips Dec 2025 | 105.98 m, +9.88% m/m | Dec 2025 | [VERIFIED] | A — BPS press release |

### 7.2 Conflict, and how to read it

**Bali's two domestic series disagree in direction.** Inter-province arrivals were **−8.02%** in 2025; national domestic trips were **+18.95%**. Both are BPS. They are not the same thing: "inter-province arrivals" counts entries into Bali Province from another province; "wisnus trips" counts all qualifying trips including intra-province day trips, which inflates the Bali figure to 26.6 m. **Use the 5.70 m inter-province arrivals figure for any addressable-market calculation involving a traveller who needs an activity booked.** The 26.6 m number is trip volume including Balinese residents moving around Bali and is not an addressable audience.

The direction conflict is the important part: **Indonesians travelled far more in 2025, and fewer of them came to Bali.** Bali lost domestic share while national domestic volume hit a record.

### 7.3 Sizing the hedge

| Measure | Value | Label |
|---|---|---|
| Bali domestic (inter-province) vs foreign arrivals, 2025 | 5.70 m vs 6.95 m = **0.82 domestic per foreign** | [INFERENCE] |
| Domestic share of Bali's combined arrivals, 2025 | **45.1%** | [INFERENCE] 5,704,140 / 12,652,894 |
| Domestic share of Bali's combined arrivals, Q1 2026 | **62.6%** | [INFERENCE] 2,459,958 / 3,926,522 (BHA-reported total) |

**Spending, and the reason volume overstates the opportunity.**
- International tourist average spend in Indonesia, Q1 2026: **US$1,345.61 per visit, average stay 10.84 nights** [VERIFIED, A/B — BPS via Indonesia Expat, 5 May 2026]. April 2025 comparable: $1,286.84 over 9.74 nights [VERIFIED, Tier C — BPS via YouTube].
- Domestic spend structure: **transport is the largest component, then accommodation, then food & beverage** — Bank Indonesia's *Indonesia Tourism Outlook 2025/2026* explicitly notes that the dominance of transport in the domestic spend structure *"berimplikasi pada terbatasnya ruang belanja"* — implies limited remaining discretionary spend [VERIFIED, Tier A — Bank Indonesia PDF].
- **No per-head domestic activity/attraction spend figure for Bali exists in the collected sources.** Unverified.

**Verdict on the hedge.** Domestic is 45% of Bali arrivals by head count and its peaks (Nyepi, Eid, school holidays) are uncorrelated with the Anglo Jun–Sep peak — which is genuinely valuable for concierge utilisation. But: BI's own data says domestic wallet is transport-dominated with little left over; Bali's domestic arrivals fell 8% in 2025 while the national market boomed; and domestic will not pay USD prices for a multi-day pass. **Size it as a load-balancing and utilisation play, not a revenue hedge.** Without a domestic activity-spend-per-head figure, any revenue projection for the domestic tier is unfounded.

---

## 8. Funding and M&A in TAA / travel-AI, last 12 months, SEA-weighted

**Question this section answers:** who is buying, who is being bought, at what multiples where disclosed — and whether the capital flow is consistent with this study's Section 6 finding that **distribution is structurally thin (Klook: 11.2% gross profit on GTV) while curated or exclusive supply is where margin survives.**

**Verdict up front: the thesis holds on the distribution half and is *directionally* supported but *not proven* on the supply half.** Connectivity middleware is demonstrably consolidating and being priced as infrastructure rather than as a margin pool — there is a hard multiple for this. Curated supply is consistently what gets *bought* and is consistently described as "curated" by its own acquirers — but **prices are undisclosed in five of the most relevant transactions, so the margin claim rests on acquirer behaviour and language, not on disclosed economics.** Section 8.4 states the counter-case plainly.

### 8.1 Transactions in the last 12 months (Jul 2025 – Jul 2026)

| Date | Acquirer / investor | Target | Layer | Consideration | Tier / source |
|---|---|---|---|---|---|
| **2025-07-17** | **Travel Curious** (B2B experiences platform) | **Redeam** (connectivity) | Middleware | Combined entity **Travel Curious Group Inc. valued >$40 m**; price of Redeam itself undisclosed | A — redeam.com press; B — PhocusWire |
| **2025-12-10** announced / **Q1 2026** closed | **Expedia Group** | **Tiqets** (Amsterdam attractions platform) | Demand aggregation → B2B API | **$279 m** (established elsewhere in this study; Airbnb realised ~$70 m) | A — Expedia IR |
| **2026-05-12** | **Palisis** + **Prioticket** → holding co **Experience Technology Group** | each other | Middleware | **Undisclosed** | B — Travolution; A — Prioticket company news |
| **~2026-06-17** | **Headout** | **Dabble** (YC-backed, CV/AR/spatial) | Talent / AI | **Undisclosed; acqui-hire** — release transfers "the team behind Dabble," names three founders, no product, revenue or customer base | A — Headout newsroom |
| 2025-06-04 | **L Catterton** + **Point72 Private Investments** | **Fever** | Curated / owned supply + demand | **>$100 m** equity | A — Fever newsroom |
| 2025-06-05 | **Fever** | **DICE** (live music ticketing) | Demand aggregation | **Undisclosed** | A — Fever newsroom |
| 2026-01-19 | **Genesia Ventures** (lead), Antler, Spiral, Iterative, Kopital | **SPUN** (Indonesia, AI visa infrastructure) | Ancillary infrastructure | **$1.8 m seed** | B — TechNode Global |
| 2025-11-10 filed | — | **Klook** F-1, NYSE "KLK" | Demand aggregation | Target raise **$300–500 m**; **delayed to "early 2026"; still unpriced as of 2026-07-15** | A — SEC; B — Fortune, Skift |

⚠️ **Window note:** the two Fever events (2025-06-04, 2025-06-05) fall ~13 months back and are therefore marginally outside a strict 12-month window. Retained because Fever is the only asset in the entire set that is both **EBITDA-profitable** and an owner of original supply, which makes it load-bearing for the thesis. Dated explicitly so the reader can discount it.

### 8.2 The one disclosed multiple in the whole set

Only one transaction in this file permits a multiple to be computed, and it is the one that matters most for the thesis.

| Metric | Value | Label |
|---|---|---|
| Travel Curious Group Inc. post-deal valuation | **>$40 m** | [VERIFIED] A — redeam.com |
| Projected transactions processed, first year combined | **>$700 m** | [VERIFIED] A — redeam.com; corroborated B — PhocusWire |
| **Implied enterprise value / processed volume** | **~5.7%** | [INFERENCE] $40 m / $700 m |

**Read this carefully, because it is the single sharpest datum in the section.** A connectivity platform with "hundreds of integrations across both supply and demand," including *exclusive* relationships with leading live-entertainment ticketing systems and global theme parks, was folded into a combined group valued at **under 6% of the annual GMV flowing through it.**

Three caveats, all real: the $40 m is the *combined* entity's valuation, not Redeam's standalone price (which is undisclosed — PhocusWire says explicitly "for an undisclosed amount"); the $700 m is a *forward projection* by the acquirer, not audited volume; and EV/volume is not EV/revenue. **This is a volume multiple, not a revenue multiple, and it is directional only.** But the direction is unambiguous: the market did not pay for that GMV, because the middleware layer does not touch it.

Compare against Section 6: Klook, a *demand aggregator*, converts 11.2% of GTV into gross profit. A *connectivity* layer converts so little of the volume it carries into enterprise value that the whole company is worth 5.7% of one year's flow. **Middleware is thinner than distribution, and distribution is already thin.**

Corroborating, from the structural record: when Tripadvisor bought Bókun in April 2018 it announced it would move Bókun from "€100 per month, versus the industry standard of 5%-6% taken on online bookings" to **"a fraction of a percent per booking, far under the industry standard"** [VERIFIED, Tier A — Tripadvisor IR, 2018-04-20]. **A demand aggregator bought a middleware business and immediately priced its take rate toward zero.** That is not a company monetising an acquisition; that is a company buying a toll booth in order to demolish it. Booking Holdings announced FareHarbor **one day earlier**, on 2018-04-19 [VERIFIED, Tier A].

### 8.3 The pattern, by layer

**(a) Demand aggregation — consolidating into the big OTAs, and the independents cannot get out.**

- Tiqets went to **Expedia Group** at $279 m. Expedia's own framing is not consumer-facing at all: *"a key step toward our vision to build the most comprehensive, global travel solution powered by our **expanded APIs**, across activities, air, car and insurance"* — Alfonso Paredes, **President of B2B** [VERIFIED, Tier A]. Expedia bought an experiences platform to feed its B2B API, not its consumer brands.
- Klook filed 2025-11-10 and **still has not priced 8+ months later** [VERIFIED]. GetYourGuide is doing a **share sale**, not an IPO [VERIFIED, Tier B — TravelAge West]. Vitruvian's incremental $50 m into Civitatis in June 2024 was **secondary shares bought from other shareholders** — liquidity for existing holders, not primary growth capital [VERIFIED, Tier B — Skift].
- **Three independent scaled experiences OTAs, three routes to liquidity, none of them a clean IPO.**

**(b) Connectivity middleware — rolling up, explicitly commoditising itself.**

- **Palisis + Prioticket → Experience Technology Group**, 2026-05-12: combined **50,000+ experiences, 250+ API-integrated reseller partners, 60+ reservation systems integrated**. Terms undisclosed. Both brands continue; contracts, integrations and contacts unchanged. Crucially, the companies "stress that they will maintain a **neutral stance towards all distribution partners**" [VERIFIED, Tier B — Travolution].
- **Neutrality is the product, and neutrality is the opposite of pricing power.** A layer whose entire pitch is that it will not favour anyone cannot extract from anyone.
- The standard is going open: LeisureKing connected to Prioticket **via the OCTO specification**, 14 July 2026, "giving its network of operators a single integration" [VERIFIED, Tier A — Prioticket company news]. Open connectivity standards are how a layer becomes a commodity.
- **Expedition Software** (Vertica Capital Partners) is the same roll-up pattern one layer over: Rezdy + Regiondo combined, then **Checkfront** acquired. Vertica's stated playbook is FareHarbor, which "grew from less than $5 million in funding to **30× revenue growth and over 70% market share** before its acquisition by Booking.com" [VERIFIED, Tier A/B — verticacp.com]. Note the exit: FareHarbor's terminal buyer was a **demand aggregator**.
- ⚠️ **Date conflict, unresolved.** Three sources give three dates for the Rezdy/Checkfront/Regiondo combination: Bailador (ASX-listed investor, Tier A) says **June 2023**; Rezdy's own blog says **8 Aug 2023** and describes all three merging at once; Vertica says Rezdy+Regiondo in **November 2023** with Checkfront as a separate add-on dated *both* "March 2024" (page header) and "January 2024" (body text, same page). **I trust Bailador's June 2023 for the initial combination** — it is a listed investor's portfolio disclosure with regulatory exposure — and treat Checkfront as a later add-on of uncertain date. Vertica's own page contradicting itself by two months is a caution on that source.
- **GlobalTix — directly relevant, as SatuSatu's Pool A supplier.** Series B of **S$6.5 m**, led by **Tin Men Capital** (first invested 2018), with Seeds Capital, ORZON Ventures (managed by 500 Thailand) and a US family office, announced **2024-10-14** [VERIFIED, Tier A — globaltix.com]. Company scale at the time: **150,000+ experiences, 12,000+ travel agents, 12 m+ tickets issued annually, 10 offices across Asia**, and Tin Men states GlobalTix had become **cash-flow positive** [VERIFIED, Tier A].
  - ⚠️ **Do not double-count.** A PRNewswire release dated **2024-12-19** headlined "GlobalTix Secures **$5 Million** Series B Funding" is **the same round restated in USD** — identical lead investor, identical participants, identical round designation. S$6.5 m ≈ US$5 m. **One round, two currencies, two press dates.**
  - **The signal:** a business issuing 12 million tickets a year across ten countries raised roughly **US$5 million** at Series B. That is a very small round for that footprint. It is consistent with a capital-efficient, cash-generative, **structurally low-margin** middleware business — exactly what Section 6 predicts, and exactly why SatuSatu's Pool A cost base cannot improve.

**(c) Curated / exclusive supply — this is what gets bought, and the acquirers say why.**

The word *curated* is not mine. It appears in the acquirer's or investor's own framing in five separate transactions:

| Asset | Acquirer/investor's own words | Source tier |
|---|---|---|
| Tiqets | *"Tiqets' **curated** iconic museums, attractions and experiences"* — Expedia Group | A |
| Civitatis | *"a **curated** marketplace for tours and activities"* — Skift, on Vitruvian's $50 m | B |
| Holibob | *"collecting, **curating**, and distributing"*; *"context-driven commerce"* | A |
| Headout | *"a managed marketplace **curating only** the world's best real life experiences"* — Dabble CEO on why he sold | A |
| Elite Havens | *"integrated marketing, reservations, **concierge** and management services"* for 200+ fully staffed villas | A |

- **Fever is the strongest single data point and also the most caveated.** It raised **>$100 m** from L Catterton and Point72 on 2025-06-04 having achieved **"over 20× revenue growth from pre-pandemic levels, while maintaining full-year EBITDA profitability"** in 2024 [VERIFIED, Tier A]. It is the only asset in this entire set disclosed as profitable. It **owns and produces original experiences** rather than reselling third-party inventory. The day after the raise it acquired **DICE** (>10 m monthly active fans, ticket sales doubled in two years) [VERIFIED, Tier A]. **Capital went to the owner of supply, and the owner of supply then bought the distributor** — the exact inversion of the middleware pattern.
- **Dusit Thani ← Elite Havens (full acquisition), ~September 2018** [VERIFIED as event, Tier A — dusit-international.com; **date is [INFERENCE]** from the release's own CDN asset path `/storage/newsroom/news-release/2018/09/`, as no date appears in the page text]. Bali-relevant and instructive: a Thai hotel group bought outright a **concierge-led managed-inventory business** running 200+ fully staffed luxury villas across Indonesia, Thailand, Sri Lanka and the Maldives. It did not buy a booking engine. It bought contracted supply plus the human layer that services it.
- **Holibob** raised a **$12 m Series A** led by Ryan Howsam (Staysure founder, an investor since 2020), plus an extendable credit facility, on the back of **600% revenue growth over six months** and the acquisition of TourismSolved [VERIFIED as event, Tier A — holibob.tech]. **Date unverified — the captured page carries no article date**, only unrelated blog-sidebar dates. Positioning is explicitly the curation-and-context thesis: moving the industry "from being majority offline to majority online."

**(d) Where the AI money actually went.**

Every AI-labelled dollar in this set went to **supply-side content and connectivity automation**, not to consumer-facing agents:
- Headout ← Dabble: an **acqui-hire** of three computer-vision founders, no product transferred [VERIFIED, Tier A].
- Headout **"Magic Listing"**: AI that generates operator listings from data already in their booking system — "No re-entering content, media, pricing, or policies" [VERIFIED, Tier A — Prioticket].
- GlobalTix: Series B proceeds directed at "**AI and predictive analytics** to optimise pricing, identify industry trends" [VERIFIED, Tier A].
- SPUN: **AI agents for visa processing** — B2B infrastructure, and explicitly priced at market rather than subsidised [VERIFIED, Tier B].

This independently corroborates **Force 2 in Section 9**: nobody with capital is funding an AI that books tours. They are funding AI that fixes the supply side's content and connectivity problem.

### 8.4 Does the consolidation thesis hold? — and where it does not

**Holds, strongly:**
1. **Middleware is priced as infrastructure, not as a margin pool.** One disclosed multiple: ~5.7% of processed volume [INFERENCE]. One documented instance of an acquirer buying a middleware business and immediately cutting its take rate to "a fraction of a percent" [VERIFIED, 2018]. One merger whose headline promise is *neutrality* [VERIFIED, 2026]. One open connectivity standard (OCTO) actively displacing bilateral integrations [VERIFIED, 2026].
2. **Independent demand aggregators cannot exit cleanly.** Klook unpriced after 8 months; GetYourGuide doing a secondary; Civitatis's last raise was a secondary purchase; Tiqets sold to a strategic. Consistent with 11.2% gross-profit-on-GTV being a hard, unattractive ceiling.
3. **Direction of travel is uniform: curated supply is the acquired object.** Tiqets, Civitatis, Elite Havens, DICE, Holibob's TourismSolved.

**Does not hold, or is not yet demonstrated:**
1. **There are almost no prices.** Palisis/Prioticket, Fever/DICE, Headout/Dabble, Bókun, FareHarbor, Redeam standalone — **six transactions, all undisclosed.** The margin claim for curated supply cannot be priced from this evidence. **Tiqets at $279 m has no accompanying revenue or GBV disclosure in these files, so no multiple is computable** — and $279 m for a platform in 60+ countries and 1,000+ cities is not self-evidently a premium.
2. **Curated supply is bought; it never buys.** Every acquirer in this set is a distributor, a middleware roll-up, a PE firm or a hotel group. Fever is the sole exception, and Fever is *live events*, not destination TAA — its economics derive from owning original IP and media reach, which is not the same business as contracting a Balinese waterfall operator. **"Curated supply gets acquired" is equally consistent with curated supply being cheap and sub-scale as with it being high-margin.** I cannot separate those two readings on this evidence.
3. **Two of the five "curated" data points are stale or undated** — Civitatis is June 2024; Holibob's Series A date is unverified.

**Net:** the evidence firmly supports *"distribution and connectivity are thin and consolidating."* It supports *"curated supply is where margin survives"* only as the **most plausible reading of acquirer behaviour and language**, not as a demonstrated fact. **Anyone who tells you the M&A record proves curated supply carries the margin is over-reading six undisclosed prices.**

### 8.5 What it means for SatuSatu

- **Pool A's supplier is not going to get cheaper.** GlobalTix is cash-flow positive on a ~US$5 m Series B while issuing 12 m tickets a year across 10 countries [VERIFIED]. It is capital-efficient, not capital-hungry, and therefore has no motive to buy volume with discounts. **SatuSatu's Pool A cost base is set by a rational, profitable operator with no reason to concede margin to a 253-SKU reseller.**
- **Do not build to be the connectivity layer.** That layer is consolidating into Experience Technology Group, Expedition Software and Travel Curious Group, is standardising on OCTO, sells neutrality, and has one observed valuation of ~5.7% of throughput. **D3 (reseller API) must therefore be justified as a proof of exclusive supply, not as an infrastructure business** — which is what Section 10 already concludes on independent grounds.
- **The acquirer set for a business like SatuSatu is strategics, not the public market.** Expedia bought Tiqets for its B2B API. Dusit bought Elite Havens for contracted Bali-region inventory plus a concierge layer. Both are precedents for **what SatuSatu's Pool B plus human concierge could be worth to a buyer** — and neither buyer wanted a catalogue of non-exclusive, third-party-sourced SKUs, which every one of them can already obtain from GlobalTix directly.
- **Elite Havens is the closest structural analogue in the file:** Bali-centred, concierge-led, exclusively managed inventory, bought whole by a hospitality strategic. Price undisclosed [VERIFIED as event; date [INFERENCE] ~Sep 2018]. It is a single, eight-year-old precedent and should be treated as a directional analogue, not a comparable.

## 9. Five structural forces most likely to reshape this economics inside 24 months

Ranked by expected impact on SatuSatu's unit economics by mid-2028.

### Force 1 — Supply-side digitisation does *not* arrive. Pool B's availability gap is permanent.

**Evidence:** 39% of global operators run no booking system; **58% of small operators (<1,000 guests/yr) have none**; **54% of operators founded after 2022 have none** — the newest cohort is the *least* digitised; 300+ fragmented booking platforms with no dominant standard; average operator uses 5 non-integrated tools [all VERIFIED, Tier B via C secondary — Arival GOL 4th Ed.].

**Why it matters:** the post-2022 cohort figure is the tell. Digitisation is not diffusing downward over time — new small operators enter *without* systems and stay that way. **Real-time availability for Bali's long tail will not exist by 2028.** Any Pool B roadmap premised on "operators will get on channel managers" is premised on a trend that the data says is not happening. Plan for permanent manual fulfilment, and price it.

**Direction:** neutral-to-negative for cost; **strongly positive for defensibility** — an incumbent-proof moat, because Klook and Viator will not do manual fulfilment for a 30-guest-a-month waterfall operator either.

### Force 2 — AI disintermediates discovery, not booking. A distribution/SEO problem on a 12–24 month clock.

**The established finding, held precisely: as of 2026-07-26 no general AI assistant books tours end-to-end on its own rails.**

**Evidence [all VERIFIED]:**
- **OpenAI withdrew Instant Checkout in March 2026.** Reported 5 Mar 2026; PhocusWire 10 Mar 2026: OpenAI "is shifting its Instant Checkout offering," refocusing on search, discovery and merchant connections and "ceding the transaction itself to external platforms." Expedia stock +12%, Booking Holdings +8% on the news (Tier B/C — uof.digital, PhocusWire, altexsoft).
- **Klook is live on ChatGPT — and the flow ends at the door.** Klook's own post: "just tap **'View on Klook'** to open the full listing and complete your booking." Invoked via `@klook` handle after linking in the Apps/GPT Store (Tier A — Klook's own channels).
- Skyscanner launched a dedicated ChatGPT app for flight search, 27 Feb 2026, UK/US (Tier B — OAG).
- Sabre + PayPal + MindTrip built what OAG calls "the first end-to-end agentic booking pipeline," March 2026 — with OAG's own caveat: *"The real question is whether consumers will trust an AI to select, book, and pay on their behalf (**which they currently don't**)."* (Tier B).
- Stripe's hospitality lead: *"Agentic commerce is very new, and we'll likely see several iterations over time as it matures."* (Tier B — PhocusWire).
- Trust and accuracy remain unresolved: CNBC, 11 Mar 2026, documents hallucination and trust gaps; an agency example of ChatGPT routing a client into a 45-minute transfer that should have been 10 minutes, with the practitioner noting *"They seem like they're edge cases, but they're actually very common"* (Tier B).
- Klook's own 11,000-user survey claims **91% of global travellers use AI travel planners** (Tier C — vendor survey, self-serving, treat as directional evidence of *discovery* behaviour only, not booking).

**The correct framing.** This is **not** an existential threat to the booking layer inside 24 months. It **is** a discovery-channel migration that is already underway. The consequence is concrete and boring: **the referral traffic that used to arrive via Google organic will increasingly arrive — or fail to arrive — via LLM surfaces.** Skift's Megatrends 2026 framing (via Klook): visibility now depends on being mentioned by ChatGPT, Gemini and Perplexity; LLMs are becoming the gatekeepers. Klook is a first-party ChatGPT app. SatuSatu, with 253 SKUs and no structured feed, is not in any model's retrieval set.

**Action horizon: 12–24 months, and it is an AEO/structured-data/feed-distribution problem, not a product-architecture problem.** Do not rebuild the booking flow for agents. Do make the catalogue machine-readable and get it into the surfaces that answer "what should I do in Bali."

### Force 3 — Online penetration grinds up ~1.5–2 pts/year. Offline stays the majority through 2029.

**Evidence:** experiences 17% online (2019) → 33% (2025) → 42–43% (2029F), against 64% for travel overall [VERIFIED, Tier B — Phocuswright/Arival]. Walk-up remains ~19–24% of recent bookings among US/EU travellers [VERIFIED, Tier B].

**Inside 24 months the online share of experiences moves from ~33% to ~36%** [INFERENCE]. The offline majority is not going away on this planning horizon. **This force is a *reason for patience*, not a reason for urgency** — and it is the strongest argument against betting the company on a pure online-catalogue play (D1).

### Force 4 — Channel consolidation compresses net rates. The layer SatuSatu sits in is being squeezed from both ends.

**Evidence:** OTA share of operator bookings 24% (2019) → **37% (2025)**; direct-website share 29% → 25% [VERIFIED]. Airbnb, Booking and Expedia expanding experiences divisions and acquiring specialist OTAs; Klook and MyRealTrip preparing IPOs; GetYourGuide planning a share sale [VERIFIED, Tier B]. 46% of operators are already unhappy with OTA commissions, and 31% cite "commission too high" as their reason for avoiding OTAs entirely — **yet OTA dependency keeps growing** [VERIFIED].

**Consequence.** As the big three fold experiences into their core funnels, aggregator net rates get renegotiated toward the buyer with volume. SatuSatu's Pool A cost base is set by GlobalTix, whose own cost base is set against Klook and Viator's volumes. **A 253-SKU reseller has no negotiating position in that chain and will be the last to receive any improvement and the first to absorb any compression.**

### Force 5 — Bali's volume tailwind has stopped; the price tailwind is FX, not demand.

**Evidence:** Bali foreign arrivals **−1.11% Jan–Apr 2026** and −1.77% Jan–May [VERIFIED / INFERENCE], while Indonesia nationally is **+7.7%** [VERIFIED]. Bali inter-province domestic arrivals **−8.02% in 2025** while national domestic trips hit a record +18.95% [VERIFIED]. Bali star-hotel occupancy **60.88% in Dec 2025 vs 63.71% in Dec 2024** [VERIFIED as reported, Tier C — topbalihotels citing BPS]. April 2026 saw sea arrivals collapse **−94.61% m/m** through Benoa/Padang Bai/Celukan Bawang as cruise calls ended [VERIFIED, Tier B — Bali Discovery citing BPS Bali]. Europe is contracting: **−5.9% y/y into Indonesia in May 2026**, driven by Middle East tensions and jet fuel costs suppressing long-haul via Gulf hubs, with the specific note that European travellers are the high-spending, long-staying segment [VERIFIED, Tier A/B — BPS via Indonesia Investments].

The one offsetting force is currency: the rupiah's exchange-rate drop "has increased Indonesia's relative affordability for visitors from several of Bali's largest markets" [VERIFIED, Tier B — Migrant Times, 4 Jun 2026]; IDR ~17,966/USD [VERIFIED, Tier C — Britannica 2026].

**Consequence.** Growth must now come from **share and attach rate, not from more arrivals.** A weak rupiah widens the USD gross margin on IDR-denominated Pool B cost — which is a real, quantifiable tailwind for direct contracting and no help at all to Pool A, whose net prices are quoted by an aggregator.

---

## 10. SO WHAT FOR SATUSATU

1. **Pool A is structurally uninvestable as a margin engine, and the ceiling is now a number rather than an opinion.** Klook realises **11.2% gross profit on GTV** with 310k SKUs, direct contracting and its own rails [VERIFIED, SEC]. SatuSatu's Pool A base case is **~10% gross / ~7% net of payment and FX** [INFERENCE]. **Consequence for D1 (horizontal catalog): D1 scales the *lowest-margin* pool.** Adding 2,000 GlobalTix SKUs multiplies revenue at 7% net contribution while adding catalogue, content, and support cost linearly. D1 should be explicitly repriced as a traffic/SEO asset that feeds D0 and D2, not as a P&L line — or deferred.

2. **The margin fix is a sourcing programme, not a product programme.** Pool B carries **2.5–4× Pool A's gross margin** (27% vs 10% base) [INFERENCE, anchored on Arival's 25–30% net-rate convention]. **Consequence for D0:** every roadmap item should be scored on whether it increases Pool B's share of GBV. A 10-point mix shift from A to B is worth more than doubling total volume on Pool A.

3. **Stop treating Pool B's missing real-time availability as a defect to be engineered away — it is the moat.** 58% of small operators have no booking system and the post-2022 cohort is *worse* at 54% [VERIFIED]. This will not resolve by 2028. **Consequence for D0:** the human concierge is not a temporary crutch pending an API; it is the fulfilment layer that Klook and Viator structurally will not build for a 30-guest-a-month operator. Budget it permanently, instrument its cost-per-booking, and market the confirmation SLA as the product.

4. **The real competitor is the driver, and on Pool A economics SatuSatu cannot outbid him.** Drivers take **~20% of ticket sales** [VERIFIED as claim, Tier C] — the same slice a wholesaler gets — at zero CAC, with in-vehicle conversion at the moment of intent. **Consequence for D2 (B2B partner dashboard): the highest-value D2 partner is not a hotel. It is the driver-and-guide network.** A Pool B SKU at 27% gross margin can pay a driver 15–18% and still clear more than a Pool A SKU sold direct at 10%. That arithmetic only works on Pool B — which makes D2 and Pool B contracting a single joint programme, not two initiatives.

5. **Commission the Bali booking-channel study before committing capital to any of D1/D2/D3.** No Bali-specific TAA channel split exists anywhere in the collected evidence — the best available is a 40–70% offline band at low confidence, built from two pre-COVID single-hotel room-reservation studies that disagree by 2.4× [documented in Section 4]. **Consequence:** D2's sizing and D3's partner economics both depend on a number nobody has measured. Structured inbound-traveller intercepts, driver interviews, and operator POS pulls are cheap relative to building the wrong channel.

6. **AI is a 12–24 month distribution deadline, not a product threat — and SatuSatu is currently invisible to it.** Discovery is migrating to LLM surfaces; booking is not (OpenAI pulled Instant Checkout in March 2026; Klook's ChatGPT flow ends at "tap View on Klook") [VERIFIED]. **Consequence:** do not rebuild the booking flow for agents. Do make the 253 SKUs machine-readable — structured schema, a clean feed, entity-level content depth on the Pass and on each Pool B exclusive — and pursue placement in the assistant surfaces. A 253-SKU catalogue can plausibly rank in an LLM retrieval set for narrow Bali intents; it can never win generic search against Klook. **Curation is the asset that survives this force; breadth is the asset that dies to it.**

7. **The volume tailwind is gone, which changes what the Pass has to do.** Bali foreign arrivals are −1.8% YTD 2026 while Indonesia is +7.7%; domestic Bali arrivals fell 8% in 2025 [VERIFIED]. **Consequence for D0:** the Bali All-Access Pass must be justified on attach rate and basket size within a flat market, not on riding arrival growth. Its real advantage is now margin architecture, not demand capture — a bundle lets SatuSatu blend high-margin Pool B into a single USD price where the traveller cannot line-item-compare against Klook. **Bundling is the only mechanism in the model that defeats the non-exclusivity price ceiling on Pool A.** That deserves to be the central design constraint of the Pass, and the 90-day activation window should be evaluated against it.

8. **Target the 39%, and size D3 against a consolidating buyer set.** English-first markets are **39.0% of March 2026 arrivals**, with Australia alone at 25.4% [VERIFIED/INFERENCE] — the USD, English-first positioning fits, but it is an Australian short-haul repeat market, not an American long-haul one, and India (8.2%) and China (7.7%) are addressed by neither the language nor the currency. **Consequence for D3 (reseller API):** the sector's capital events run through Airbnb/Booking/Expedia acquiring specialist OTAs while Klook's IPO has sat unpriced for eight months [VERIFIED]. D3's value is not as a revenue line at these margins — it is as **proof of a distributable, exclusive Pool B inventory set**, which is the only asset in the model that a consolidator cannot buy from GlobalTix directly. D3 should be built to be *demonstrated*, at Pool B depth, not to be *scaled* on Pool A breadth.

---

## Open gaps (ranked for Step 3)

| # | Gap | Why it blocks a decision | Obtainable? |
|---|---|---|---|
| 1 | **Bali TAA booking-channel split** (OTA / walk-up / driver / concierge / WhatsApp) | Sizes D2 and D3; identifies the real competitor | Primary research only. Nothing published. |
| 2 | **Driver-referral volume share** (rate is known at ~20%; volume is not) | Determines whether D2 targets drivers or hotels | Primary; driver interviews |
| 3 | **Count of Bali TAA operators, and % on any booking system** | Sizes Pool B's addressable supply | Partly — ASITA Bali full-member directory is public and was only partially captured |
| 4 | ~~12-month TAA/travel-AI deal list~~ → **now: disclosed prices/multiples for the six undisclosed deals** (Palisis/Prioticket, Fever/DICE, Headout/Dabble, Redeam standalone, Bókun, FareHarbor); and **Tiqets revenue or GBV** to make the $279 m price a computable multiple | Deal list now closed (§8). What remains blocks the "curated supply carries the margin" claim from moving beyond [INFERENCE] | Partly — PitchBook/Tracxn paid tiers; Expedia 10-K segment disclosure post-close |
| 5 | **Indonesia-specific TAA online penetration** | Validates or kills the "structural headroom" thesis locally | Hard. Three Tier-C vendors disagree by ~2×. May not exist. |
| 6 | **Domestic Bali activity spend per head** | Any domestic-tier revenue projection is unfounded without it | Possibly — BPS *Statistik Wisatawan Nusantara 2025* (published 30 Apr 2026) and DISPARDA Bali statistical releases |
| 7 | **Actual GlobalTix net rates vs Klook/Viator retail on matched SKUs** | Converts Section 6's Pool A margin band from [INFERENCE] to [VERIFIED] | **Yes — internal data. Highest value-per-hour item on this list.** |
| 8 | **Bali sub-region and traveller-segment channel behaviour** (Canggu / Ubud / Nusa Dua; Australian repeat vs European first-time) | Targeting and Pass design | Primary |